CN115311355B - Contact net foreign matter risk early warning method, device, equipment and storage medium - Google Patents
Contact net foreign matter risk early warning method, device, equipment and storage medium Download PDFInfo
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- CN115311355B CN115311355B CN202211145389.XA CN202211145389A CN115311355B CN 115311355 B CN115311355 B CN 115311355B CN 202211145389 A CN202211145389 A CN 202211145389A CN 115311355 B CN115311355 B CN 115311355B
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Abstract
The disclosure relates to a contact net foreign matter risk early warning method, device, equipment and storage medium. According to the embodiment of the disclosure, the image in the preset range of the contact net is obtained; carrying out foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net; based on the foreign matter information, alarm information is sent, the hidden danger of the foreign matter in the preset range of the contact net can be found in time according to the image in the preset range of the contact net and early warning is carried out, a large amount of inspection manpower and time are saved, and the efficiency and accuracy for finding the hidden danger of the foreign matter are improved.
Description
Technical Field
The disclosure relates to the technical field of contact network safety, in particular to a contact network foreign matter risk early warning method, device, equipment and storage medium.
Background
For electrified railways, the overhead contact system above the track is the only power for the train to travel, and the pantograph must pass through the overhead contact system to obtain electric energy. If foreign matters such as mulching films, dust screens, plastic bags, kite wires and the like covered on the land are hung on the contact net, the easily-floating objects which are easy to float along with wind can possibly cause the short circuit tripping of the contact net line, the direct interruption of power supply, and the failure of a pantograph can possibly cause the blocking of power taking, so that serious potential safety hazards are brought to the running of a train.
At present, railway departments patrol the contact network and the environment around the contact network through patrol personnel, find the hidden trouble of the foreign matters and take corresponding measures to treat the foreign matters so as to eliminate the hidden trouble of the foreign matters and prevent the railway safety from being damaged under the condition of strong wind weather, for example, if movable flyable matters exist on two sides of a railway line, the flyable matters can be reinforced or cleared. However, this method consumes a lot of manpower and time, and is inefficient, and the timeliness of finding foreign matters is poor, and the hidden danger of the foreign matters cannot be early warned in time.
Disclosure of Invention
In order to solve the technical problems, the disclosure provides a contact net foreign matter risk early warning method, device, equipment and storage medium.
A first aspect of an embodiment of the present disclosure provides a contact net foreign matter risk early warning method, including:
acquiring an image within a preset range of the overhead contact system;
carrying out foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net;
based on the foreign matter information, alarm information is transmitted.
A second aspect of the embodiments of the present disclosure provides a contact net foreign matter risk early warning device, the device includes:
the acquisition module is used for acquiring images within a preset range of the overhead line system;
the identification module is used for carrying out foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net;
and the sending module is used for sending the alarm information based on the foreign matter information.
A third aspect of the embodiments of the present disclosure provides a computer device, where the device includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the overhead line system foreign object risk early warning method of the first aspect may be implemented.
A fourth aspect of the embodiments of the present disclosure provides a computer readable storage medium, in which a computer program is stored, where the contact net foreign object risk early warning method of the first aspect can be implemented when the computer program is executed by a processor.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
according to the embodiment of the disclosure, the image in the preset range of the contact net is obtained; carrying out foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net; based on the foreign matter information, alarm information is sent, the hidden danger of the foreign matter in the preset range of the contact net can be found in time according to the image in the preset range of the contact net and early warning is carried out, a large amount of inspection manpower and time are saved, and the efficiency and accuracy for finding the hidden danger of the foreign matter are improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
In order to more clearly illustrate the embodiments of the present disclosure or the solutions in the prior art, the drawings that are required for the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a flowchart of a contact net foreign matter risk early warning method provided in an embodiment of the present disclosure;
fig. 2 is a flowchart of another risk early warning method for foreign matter in a contact network according to an embodiment of the disclosure;
fig. 3 is a flowchart of another risk early warning method for foreign matter in a contact network according to an embodiment of the disclosure;
fig. 4 is a schematic structural diagram of a contact net foreign matter risk early warning device provided in an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, a further description of aspects of the present disclosure will be provided below. It should be noted that, without conflict, the embodiments of the present disclosure and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced otherwise than as described herein; it will be apparent that the embodiments in the specification are only some, but not all, embodiments of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
For electrified railways, the overhead contact system above the track is the only power for the train to travel, and the pantograph must pass through the overhead contact system to obtain electric energy. If foreign matters such as mulching films, dust screens, plastic bags, kite wires and the like covered on the land are hung on the contact net, the easily-floating objects which are easy to float along with wind can possibly cause the short circuit tripping of the contact net line, the direct interruption of power supply, and the failure of a pantograph can possibly cause the blocking of power taking, so that serious potential safety hazards are brought to the running of a train.
At present, railway departments patrol the contact network and the environment around the contact network through patrol personnel, find the hidden trouble of the foreign matters and take corresponding measures to treat the foreign matters so as to eliminate the hidden trouble of the foreign matters and prevent the railway safety from being damaged under the condition of strong wind weather, for example, if movable flyable matters exist on two sides of a railway line, the flyable matters can be reinforced or cleared. However, this method consumes a lot of manpower and time, and is inefficient, and the timeliness of finding foreign matters is poor, and the hidden danger of the foreign matters cannot be early warned in time.
Aiming at the defects of the related technology in the aspect of foreign matter risk early warning of the overhead line system, the embodiment of the disclosure provides an overhead line system foreign matter risk early warning method, which can timely discover and early warn foreign matter hidden danger in the preset range of the overhead line system according to images in the preset range of the overhead line system, can save a large amount of inspection manpower and time, and improves the efficiency and accuracy of discovering the foreign matter hidden danger.
The contact net foreign matter risk early warning method provided by the embodiment of the disclosure may be performed by a computer device, which may be understood as any device having processing capability and computing capability, and may include, but is not limited to, mobile terminals such as smart phones, notebook computers, personal Digital Assistants (PDAs), tablet computers (PADs), vehicle-mounted terminals (e.g., vehicle-mounted navigation terminals), wearable devices, and the like, and fixed electronic devices such as digital TVs, desktop computers, and the like.
In order to better understand the inventive concepts of the embodiments of the present disclosure, the technical solutions of the embodiments of the present disclosure are described below in conjunction with exemplary embodiments.
Fig. 1 is a flowchart of a method for early warning risk of foreign matters in a contact network according to an embodiment of the present disclosure, as shown in fig. 1, the method for early warning risk of foreign matters in a contact network according to the present embodiment may include steps 110 to 130:
and 110, acquiring an image within a preset range of the overhead line system.
The preset range in the embodiment of the present disclosure may be set according to actual needs, for example, the preset range may be a range of 500m on the left and right sides of the contact net, which is not limited herein specifically.
In the embodiment of the disclosure, a plurality of image acquisition devices are arranged in a preset range of the contact network, the plurality of image acquisition devices can acquire images in the preset range of the contact network, the image acquisition devices can comprise devices such as cameras and the like capable of acquiring images, the computer device can establish communication connection with the image acquisition devices, and the images in the preset range of the contact network are acquired from the plurality of image acquisition devices in the preset range of the contact network.
And 120, performing foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net.
The foreign matter in the embodiment of the disclosure may be understood as a plastic film covered on the ground, a dust screen, a plastic bag, a kite line, and other easily-floating objects which are easy to float along with wind, the foreign matter information may include data such as geographic position, type, number, and the like of the foreign matter, but is not limited to this, where the geographic position of the foreign matter may be understood as a three-dimensional coordinate of a center point of the foreign matter under a world coordinate system or a three-dimensional coordinate of a boundary of the foreign matter under the world coordinate system, the type of the foreign matter may be understood as a type of the foreign matter, and may include types such as a plastic, a net, a wire, a plate, a tile, and the like, where the plastic includes a plastic film covered on the ground, a plastic bag, the net includes a dust screen, and the like, the wire includes a kite line, and the like, and the tile includes a color steel tile, and the like.
In the embodiment of the disclosure, after the computer equipment acquires the image within the preset range of the contact net, the computer equipment can identify the foreign matters in the image to obtain the foreign matter information in the image, namely, the foreign matter information within the preset range of the contact net. Specifically, the computer device may input an image within a preset range of the catenary into a preset foreign matter identification model, perform foreign matter identification based on the preset foreign matter identification model, determine foreign matter information in the image, and further obtain foreign matter information within the preset range of the catenary. The preset foreign object identification model can be trained based on a large number of foreign object image samples through a machine learning algorithm, the capability of identifying foreign objects from images is learned, and a specific foreign object identification model can refer to a related image identification model and is not limited specifically herein.
In some embodiments, the foreign object identification is performed in the image to obtain the foreign object information within the preset range of the catenary, which may include steps 1201-1203:
step 1201, performing foreign object identification in the image, and determining an abnormal image in which a foreign object exists in the image and the type and the number of the foreign objects in the abnormal image.
In the embodiment of the disclosure, after the computer equipment acquires the image within the preset range of the overhead line system, the computer equipment can identify the foreign matters in the image, and determine the abnormal image with the foreign matters in the image and the type and the number of the foreign matters in the abnormal image. Specifically, the computer device may input an image within a preset range of the catenary into a preset foreign object identification model, perform foreign object identification based on the preset foreign object identification model, and determine an abnormal image in which a foreign object exists in the image and the type and the number of the foreign objects in the abnormal image.
Step 1202, determining the geographic position and the actual size of the foreign object based on the abnormal image and the acquisition position of the abnormal image.
In the embodiment of the disclosure, the acquisition position of the image may be understood as a three-dimensional coordinate of a camera center of the image acquired by the image acquisition device under a world coordinate system where the image acquisition device is located, and may be obtained by manual mapping or camera calibration in advance.
In the embodiment of the disclosure, after determining that the abnormal image of the foreign object exists in the image, the computer device may determine the geographic position and the actual size of the foreign object based on the abnormal image and the acquisition position of the abnormal image.
In some embodiments, determining the geographic location and actual size of the foreign object based on the anomaly image and the acquisition location of the anomaly image may include steps 120201-120204:
step 120201, performing foreign object recognition on the abnormal image to obtain the pixel position of the foreign object in the abnormal image.
In the embodiment of the disclosure, the abnormal image is an image formed by a plurality of pixel points, each pixel point has specific pixel coordinates in the abnormal image, the pixel coordinates can comprise transverse coordinates and longitudinal coordinates, and the pixel coordinates can uniquely determine the pixel position of the pixel point in the abnormal image. Each foreign object may be understood as a polygonal area having a plurality of boundary lines, and in the abnormal image, a pixel position of the foreign object in the abnormal image may be understood as a pixel coordinate of a center point of the foreign object or a pixel coordinate of a pixel point constituting a boundary of the foreign object, the center point of the foreign object being a center point of a polygon constituting the foreign object.
In the embodiment of the disclosure, after determining that the abnormal image of the foreign object exists in the image, the computer device may perform foreign object identification on the abnormal image to obtain the pixel position of the foreign object in the abnormal image.
Step 120202, determining a relative positional relationship between the foreign object and the acquisition position of the abnormal image based on the pixel positions.
In the embodiment of the disclosure, the relative positional relationship between the foreign object and the acquisition position of the abnormal image may be understood as an angle of a line connecting the camera center and each point of the foreign object in the horizontal direction and a linear distance between the camera center and each point of the foreign object when the image acquisition apparatus photographs the foreign object.
In the embodiment of the disclosure, after obtaining the pixel position of the foreign object in the abnormal image, the computer device may determine, according to the projection imaging principle, an angle of a line connecting the center of the camera and each point of the foreign object in a horizontal direction according to the pixel coordinates of each point of the foreign object and a focal length when the image acquisition device acquires the abnormal image. After determining the angle of the line connecting the camera center and each point of the foreign matter in the horizontal direction, the computer device may determine the height of the collection position of the abnormal image perpendicular to the plane of the foreign matter according to the collection position of the abnormal image, and then calculate the straight line distance between the camera center and each point of the foreign matter according to the height of the collection position of the abnormal image perpendicular to the plane of the foreign matter and the angle of the line connecting the camera center and each point of the foreign matter in the horizontal direction.
In the embodiment of the disclosure, after obtaining the pixel position of the foreign object in the abnormal image, the computer device may determine a relative positional relationship between the foreign object and the acquisition position of the abnormal image based on the pixel position.
Step 120203, determining the geographic position of the foreign object based on the relative position relationship and the acquisition position of the abnormal image.
In the embodiment of the disclosure, after determining the relative positional relationship between the foreign object and the acquisition position of the abnormal image, the computer device may determine the geographic position of the foreign object based on the relative positional relationship and the acquisition position of the abnormal image. The geographic position of the foreign object can be understood as the three-dimensional coordinate of the center point of the foreign object in the world coordinate system or the three-dimensional coordinate of the boundary of the foreign object in the world coordinate system.
Step 120204, determining the actual size of the foreign object based on the geographic location of the foreign object.
In the embodiment of the disclosure, after obtaining the geographic position of the foreign object, the computer device may determine the actual size of the foreign object based on the geographic position of the boundary of the foreign object, that is, the three-dimensional coordinates of the boundary of the foreign object in the world coordinate system.
Step 1203, determining foreign matter information in a preset range of the contact net based on the type and the number of the foreign matters and the geographic position and the actual size of the foreign matters.
In the embodiment of the disclosure, after the type and the number of the foreign matters and the geographic position and the actual size of the foreign matters in the preset range of the overhead line system are obtained, the type and the number of the foreign matters and the geographic position and the actual size of the foreign matters can be determined as the foreign matter information in the preset range of the overhead line system by the computer equipment.
Therefore, the foreign matter information in the preset range of the overhead line system can be obtained according to the image in the preset range of the overhead line system, manpower is not needed, and the hidden danger of the foreign matter in the preset range of the overhead line system can be found in time.
And 130, sending alarm information based on the foreign matter information.
In the embodiment of the disclosure, after the computer equipment determines the foreign matter information in the image based on the image and the acquisition position of the image, the computer equipment can send alarm information to a control center or staff of a road section to which the contact net belongs according to the foreign matter information, and the alarm information can include the foreign matter information so as to remind the staff to take corresponding measures to clear the hidden danger of the foreign matter.
According to the embodiment of the disclosure, the image in the preset range of the contact net is obtained; carrying out foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net; based on the foreign matter information, alarm information is sent, the hidden danger of the foreign matter in the preset range of the contact net can be found in time according to the image in the preset range of the contact net and early warning is carried out, a large amount of inspection manpower and time are saved, and the efficiency and accuracy for finding the hidden danger of the foreign matter are improved.
Fig. 2 is a flowchart of a method for early warning risk of foreign matters in a contact network according to an embodiment of the present disclosure, as shown in fig. 2, the method for early warning risk of foreign matters in a contact network according to the present embodiment may include steps 210 to 250:
Steps 210-220 in the embodiments of the present disclosure may refer to the above-mentioned steps 110-120, and will not be described herein.
In the embodiment of the disclosure, after the computer device determines the foreign matter information in the image, the degree of influence of the foreign matter on the contact net can be determined based on the foreign matter information, and then the risk level corresponding to the foreign matter can be determined according to the degree of influence of the foreign matter on the contact net.
In some embodiments, determining a risk level for a foreign object based on the foreign object information may include steps 2301-2308:
step 2301, determining the geographic position of the foreign object, the number of the foreign objects, and the actual size of the foreign object based on the foreign object information.
In the embodiment of the disclosure, the foreign matter information may include the number of the foreign matters and the geographical position of the foreign matters in the preset range of the contact net, and the computer device may determine the number of the foreign matters and the geographical position of the foreign matters in the preset range of the contact net based on the foreign matter information.
Step 2302, calculating the minimum distance between the foreign object and the contact network based on the geographical position of the foreign object and the geographical position of the pre-stored contact network.
In the embodiment of the disclosure, the geographic position of the overhead contact line can be understood as a three-dimensional coordinate of the overhead contact line in a world coordinate system, and the computer device can obtain and store the geographic position of each overhead contact line in advance.
In the embodiment of the disclosure, the computer device may calculate the minimum distance between the foreign object and the catenary based on the geographical position of the foreign object and the geographical position of the catenary stored in advance.
Step 2303, determining a first risk score corresponding to the minimum distance based on the mapping relationship between the minimum distance and the risk score.
In the embodiment of the disclosure, the computer device may store in advance a mapping relationship between a minimum distance between the foreign object and the contact net and a risk score, where the smaller the minimum distance is, the nearer the foreign object is to the contact net, the higher the risk hidden danger of the foreign object of the contact net is, and when the minimum distance is 0, the foreign object is in contact with the contact net, and at this time, the foreign object risk hidden danger of the contact net reaches the highest value, and the risk score reaches the highest value. After the computer device obtains the minimum distance between the foreign object and the contact net, the first risk score corresponding to the minimum distance can be determined based on the mapping relation between the minimum distance and the risk score.
Step 2304, determining a second risk score corresponding to the number of foreign objects based on the mapping relationship between the number of foreign objects and the risk score.
In the embodiment of the disclosure, the computer device may store in advance a mapping relationship between the number of the foreign objects and the risk score, where the greater the number of the foreign objects, the higher the corresponding risk score. After obtaining the number of the foreign objects, the computer device may determine a second risk score corresponding to the number of the foreign objects based on a mapping relationship between the number of the foreign objects and the risk score.
Step 2305, determining a third risk score corresponding to the actual size of the foreign object based on the mapping relationship between the actual size of the foreign object and the risk score.
In the embodiment of the disclosure, the computer device may store a mapping relationship between an actual size of the foreign object and the risk score in advance, and the larger the actual size of the foreign object is, the higher the corresponding risk score is, and after obtaining the actual size of the foreign object, the computer device may determine a third risk score corresponding to the actual size of the foreign object based on the mapping relationship between the actual size of the foreign object and the risk score.
And 2306, calculating a sum of the first risk score, the second risk score and the third risk score to obtain a fourth risk score of the foreign object.
In this embodiment of the disclosure, after obtaining a first risk score corresponding to a minimum distance between a foreign object and a catenary, a second risk score corresponding to a number of foreign objects, and a third risk score corresponding to an actual size of the foreign object, the computer device may calculate a sum of the first risk score, the second risk score, and the third risk score, and obtain a fourth risk score of the foreign object.
Step 2307, determining a risk level corresponding to the fourth risk score based on the mapping relationship between the risk score and the risk level.
In the embodiment of the disclosure, the computer device may prestore a mapping relationship between risk scores and risk levels, where the higher the risk score is, the higher the corresponding risk level is. After obtaining the fourth risk score of the foreign object, the computer may determine a risk level corresponding to the fourth risk score based on a mapping relationship between the risk score and the risk level.
Step 2308, determining the risk level corresponding to the fourth risk score as the risk level corresponding to the foreign object.
In the embodiment of the disclosure, after obtaining the risk level corresponding to the fourth risk score, the computer device may determine the risk level corresponding to the fourth risk score as the risk level corresponding to the foreign object.
In the embodiment of the disclosure, the computer may store in advance a mapping relationship between the risk level and the alarm information, where the higher the risk level, the greater the impact of the foreign object on the contact network, and the more urgent the corresponding alarm information, the information including, but not limited to, the risk level, the geographic location, the number, and the like of the foreign object may be included in the alarm information. After the computer obtains the risk level corresponding to the foreign matter, the computer can determine the alarm information corresponding to the risk level based on the mapping relation between the risk level and the alarm information.
In the embodiment of the disclosure, after determining the alarm information corresponding to the risk level, the computer may send the alarm information to the control center or the staff, so that the staff may take corresponding measures according to the risk level of the corresponding foreign object, to eliminate the foreign object hidden danger, for example, when the risk level in the alarm information is the highest level, the staff should immediately clear the foreign object hidden danger.
Therefore, the risk level of the foreign matters can be determined according to the distance between the foreign matters and the contact net, the number of the foreign matters and the actual size of the foreign matters, so that the staff can take corresponding measures according to the risk level, and the hidden danger of the foreign matters is eliminated.
Fig. 3 is a flowchart of a method for early warning risk of foreign matters in a contact network according to an embodiment of the present disclosure, as shown in fig. 3, the method for early warning risk of foreign matters in a contact network according to the present embodiment may include steps 310 to 370:
Embodiments of the present disclosure may refer to the content of step 110, which is not described herein.
Embodiments of the present disclosure may refer to the content of step 1201, which is not described herein.
Embodiments of the present disclosure may refer to the content of step 1202, which is not described herein.
And 340, acquiring wind speed information within a preset range of the overhead line system.
In the embodiment of the disclosure, the wind speed information may include the magnitude and direction of the wind speed, and the magnitude of the wind speed may be understood as the movement rate of air relative to a certain fixed place, and the common unit is m/s.
In the embodiment of the disclosure, the anemometer is arranged in the preset range of the overhead line, the wind speed information in the preset range of the overhead line can be acquired, the computer equipment can be in communication connection with the anemometer, and the computer equipment can acquire the wind speed information in the preset range of the overhead line from the anemometer arranged in the preset range of the overhead line.
And 350, calculating the time length for the foreign matter to reach the overhead contact line based on the wind speed information, the geographic position of the foreign matter and the geographic position of the pre-stored overhead contact line.
In the embodiment of the disclosure, the computer device may calculate the distance between the foreign object and the contact net according to the geographical position of the foreign object and the geographical position of the contact net stored in advance, and then calculate the time when the foreign object reaches the contact net according to the distance between the foreign object and the contact net and the wind speed information.
In the embodiment of the disclosure, the computer device may generate the alarm information according to the length of time for the foreign object to reach the contact net and the geographic position of the foreign object, and the alarm information may include information such as the length of time for the foreign object to reach the contact net and the geographic position of the foreign object, but is not limited thereto.
In the embodiment of the disclosure, after the computer equipment generates the alarm information including the time length for the foreign matter to reach the contact net and the geographic position of the foreign matter, the alarm information can be sent to a control center or a worker, so that the worker takes corresponding measures to strengthen or remove the foreign matter in time, and the hidden danger of the foreign matter of the contact net is eliminated.
Therefore, the foreign matter hidden danger in the preset range of the contact net can be found in time and early warning can be carried out through the time length of the foreign matter reaching the contact net and the geographic position of the foreign matter, and the efficiency and accuracy of finding the foreign matter hidden danger are improved.
Fig. 4 is a schematic structural diagram of a contact net foreign matter risk early warning device according to an embodiment of the present disclosure, where the device may be understood as the above-mentioned computer device or a part of functional modules in the above-mentioned computer device. As shown in fig. 4, the contact net foreign matter risk early warning device 400 may include:
an acquisition module 410, configured to acquire an image within a preset range of the catenary;
the recognition module 420 is configured to perform foreign matter recognition in the image to obtain foreign matter information within a preset range of the catenary;
and a transmitting module 430 for transmitting the alarm information based on the foreign matter information.
Optionally, the identification module 420 may include:
the identification sub-module is used for carrying out foreign matter identification in the image and determining an abnormal image with foreign matters in the image and the type and the number of the foreign matters in the abnormal image;
the first determining submodule is used for determining the geographic position and the actual size of the foreign body based on the abnormal image and the acquisition position of the abnormal image;
and the second determining submodule is used for determining foreign matter information in a preset range of the contact net based on the type and the number of the foreign matters and the geographic position and the actual size of the foreign matters.
Optionally, the first determining sub-module may include:
the recognition unit is used for recognizing the foreign matters in the abnormal image to obtain the pixel positions of the foreign matters in the abnormal image;
a first determination unit configured to determine a relative positional relationship between the foreign object and the acquisition position of the abnormal image based on the pixel position;
the second determining unit is used for determining the geographic position of the foreign matter based on the relative position relation and the acquisition position of the abnormal image;
and a third determining unit for determining an actual size of the foreign matter based on the geographical position of the foreign matter.
Optionally, the sending module 430 may include:
the third determining submodule is used for determining the risk level corresponding to the foreign matter based on the foreign matter information;
a fourth determining sub-module, configured to determine, based on a mapping relationship between the risk level and the alarm information, alarm information corresponding to the risk level;
and the sending sub-module is used for sending the alarm information.
Optionally, the third determining sub-module may include:
a fourth determining unit for determining a geographical position of the foreign matter, the number of the foreign matters, and an actual size of the foreign matter based on the foreign matter information;
the first calculating unit is used for calculating the minimum distance between the foreign matter and the contact net based on the geographic position of the foreign matter and the geographic position of the contact net stored in advance;
a fifth determining unit, configured to determine a first risk score corresponding to the minimum distance based on a mapping relationship between the minimum distance and the risk score;
a sixth determining unit, configured to determine a second risk score corresponding to the number of the foreign objects based on a mapping relationship between the number of the foreign objects and the risk score;
a seventh determining unit, configured to determine a third risk score corresponding to the actual size of the foreign object based on a mapping relationship between the actual size of the foreign object and the risk score;
the second calculation unit is used for calculating the sum of the first risk score, the second risk score and the third risk score to obtain a fourth risk score of the foreign matter;
an eighth determining unit, configured to determine a risk level corresponding to the fourth risk score based on a mapping relationship between the risk score and the risk level;
and a ninth determining unit, configured to determine a risk level corresponding to the fourth risk score as a risk level corresponding to the foreign object.
Optionally, the identification module 420 may further include:
the acquisition submodule is used for acquiring wind speed information in a preset range of the overhead line system;
the calculation sub-module is used for obtaining the geographic position of the foreign matter based on the wind speed information and the geographic position of the pre-stored contact net and calculating the time length for the foreign matter to reach the contact net;
and the generation sub-module is used for generating alarm information based on the duration and the geographic position of the foreign matter.
The contact net foreign matter risk early warning device provided by the embodiment of the present disclosure may implement the method of any one of the above embodiments, and the implementation manner and the beneficial effect thereof are similar, and are not repeated here.
The embodiment of the disclosure further provides a computer device, where the computer device includes a processor and a memory, where the memory stores a computer program, and when the computer program is executed by the processor, the method of any one of the foregoing embodiments may be implemented, and an implementation manner and a beneficial effect of the method are similar, and are not repeated herein.
A computer device in embodiments of the present disclosure may be understood as any device having processing and computing capabilities, which may include, but is not limited to, mobile terminals such as smartphones, notebook computers, personal Digital Assistants (PDAs), tablet computers (PADs), in-vehicle terminals (e.g., in-vehicle navigation terminals), wearable devices, etc., as well as stationary electronic devices such as digital TVs, desktop computers, etc.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure, as shown in fig. 5, a computer device 500 may include a processor 510 and a memory 520, where the memory 520 stores a computer program 521, and when the computer program 521 is executed by the processor 510, the method provided in any of the foregoing embodiments may be implemented, and the implementation manner and the beneficial effects are similar, and are not repeated herein.
Of course, only some of the components of the computer apparatus 500 relevant to the present invention are shown in fig. 5 for simplicity, and components such as buses, input/output interfaces, input devices, output devices, and the like are omitted. In addition, the computer device 500 may include any other suitable components, depending on the particular application.
The embodiments of the present disclosure provide a computer readable storage medium, in which a computer program is stored, where when the computer program is executed by a processor, the method of any of the foregoing embodiments may be implemented, and the implementation manner and beneficial effects are similar, and are not described herein again.
The computer readable storage media described above can employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer programs described above may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer device, partly on the user's device, as a stand-alone software package, partly on the user's computer device and partly on a remote computer device or entirely on the remote computer device or server.
The foregoing is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown and described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The utility model provides a contact net foreign matter risk early warning method which is characterized in that the method comprises the following steps:
acquiring an image within a preset range of the overhead contact system;
performing foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net;
based on the foreign matter information, sending alarm information;
the sending alarm information based on the foreign matter information includes:
determining a risk level corresponding to the foreign matter based on the foreign matter information;
based on the mapping relation between the risk level and the alarm information, determining the alarm information corresponding to the risk level;
sending the alarm information;
the determining, based on the foreign matter information, a risk level corresponding to the foreign matter includes:
determining the geographic position of the foreign matter, the number of the foreign matter and the actual size of the foreign matter based on the foreign matter information;
calculating the minimum distance between the foreign matter and the contact net based on the geographic position of the foreign matter and the geographic position of the pre-stored contact net;
determining a first risk score corresponding to the minimum distance based on the mapping relation between the minimum distance and the risk score;
determining a second risk score corresponding to the number of the foreign matters based on the mapping relation between the number of the foreign matters and the risk score;
determining a third risk score corresponding to the actual size of the foreign matter based on the mapping relation between the actual size of the foreign matter and the risk score;
calculating the sum of the first risk score, the second risk score and the third risk score to obtain a fourth risk score of the foreign object;
determining a risk level corresponding to the fourth risk score based on the mapping relation between the risk score and the risk level;
determining the risk level corresponding to the fourth risk score as the risk level corresponding to the foreign matter;
before the alarm information is sent, the method further comprises the following steps:
acquiring wind speed information within a preset range of the overhead contact system;
calculating the time length of the foreign matter reaching the overhead line system based on the wind speed information, the geographic position of the foreign matter and the geographic position of the overhead line system stored in advance;
and generating alarm information based on the duration and the geographic position of the foreign matter.
2. The method according to claim 1, wherein the step of performing foreign matter identification in the image to obtain foreign matter information within the preset range of the catenary includes:
performing foreign matter identification in the image, and determining an abnormal image with foreign matters in the image and the type and the number of the foreign matters in the abnormal image;
determining the geographic position and the actual size of the foreign matter based on the abnormal image and the acquisition position of the abnormal image;
and determining foreign matter information in a preset range of the contact net based on the type and the number of the foreign matters and the geographic position and the actual size of the foreign matters.
3. The method of claim 2, wherein the determining the geographic location and the actual size of the foreign object based on the anomaly image and the acquisition location of the anomaly image comprises:
performing foreign matter identification on the abnormal image to obtain the pixel position of the foreign matter in the abnormal image;
determining a relative positional relationship between the foreign matter and the acquisition position of the abnormal image based on the pixel position;
determining the geographic position of the foreign matter based on the relative position relationship and the acquisition position of the abnormal image;
based on the geographic location of the foreign object, an actual size of the foreign object is determined.
4. The utility model provides a contact net foreign matter risk early warning device which characterized in that includes:
the acquisition module is used for acquiring images within a preset range of the overhead line system;
the identification module is used for carrying out foreign matter identification in the image to obtain foreign matter information in a preset range of the contact net;
the sending module is used for sending alarm information based on the foreign matter information;
the sending module comprises:
a third determining submodule, configured to determine a risk level corresponding to the foreign object based on the foreign object information;
a fourth determining sub-module, configured to determine, based on a mapping relationship between the risk level and the alarm information, alarm information corresponding to the risk level;
the sending sub-module is used for sending the alarm information;
the third determination submodule includes:
a fourth determination unit configured to determine a geographical position of the foreign object, the number of the foreign objects, and an actual size of the foreign object based on the foreign object information;
the first calculating unit is used for calculating the minimum distance between the foreign matter and the overhead contact line based on the geographic position of the foreign matter and the geographic position of the pre-stored overhead contact line;
a fifth determining unit, configured to determine a first risk score corresponding to the minimum distance based on a mapping relationship between the minimum distance and the risk score;
a sixth determining unit, configured to determine a second risk score corresponding to the number of the foreign objects based on a mapping relationship between the number of the foreign objects and the risk score;
a seventh determining unit, configured to determine a third risk score corresponding to the actual size of the foreign object based on a mapping relationship between the actual size of the foreign object and the risk score;
a second calculation unit, configured to calculate a sum of the first risk score, the second risk score, and the third risk score, to obtain a fourth risk score of the foreign object;
an eighth determining unit, configured to determine a risk level corresponding to the fourth risk score based on a mapping relationship between the risk score and the risk level;
a ninth determining unit, configured to determine a risk level corresponding to the fourth risk score as a risk level corresponding to the foreign object;
the identification module comprises:
the acquisition submodule is used for acquiring wind speed information in a preset range of the overhead line system;
the calculation submodule is used for calculating the time length of the foreign object reaching the contact net based on the wind speed information, the geographic position of the foreign object and the geographic position of the contact net stored in advance;
and the generation sub-module is used for generating alarm information based on the duration and the geographic position of the foreign matter.
5. The apparatus of claim 4, wherein the identification module comprises:
the identification sub-module is used for carrying out foreign matter identification in the image and determining an abnormal image with foreign matters in the image and the type and the number of the foreign matters in the abnormal image;
the first determining submodule is used for determining the geographic position and the actual size of the foreign body based on the abnormal image and the acquisition position of the abnormal image;
and the second determining submodule is used for determining the foreign matter information in the preset range of the contact net based on the type and the number of the foreign matters and the geographic position and the actual size of the foreign matters.
6. The apparatus of claim 5, wherein the first determination submodule comprises:
the identification unit is used for carrying out foreign matter identification on the abnormal image to obtain the pixel position of the foreign matter in the abnormal image;
a first determination unit configured to determine a relative positional relationship between the foreign substance and a collection position of the abnormal image based on the pixel position;
a second determining unit configured to determine a geographic position of the foreign object based on the relative positional relationship and a collection position of the abnormal image;
and a third determination unit that determines an actual size of the foreign matter based on a geographical position of the foreign matter.
7. A computer device, comprising:
a memory and a processor, wherein the memory stores a computer program which, when executed by the processor, implements the catenary foreign object risk warning method according to any one of claims 1 to 3.
8. A computer-readable storage medium, in which a computer program is stored which, when executed by a processor, implements the catenary foreign matter risk warning method according to any one of claims 1 to 3.
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| CN117933499A (en) * | 2024-03-22 | 2024-04-26 | 中国铁建电气化局集团有限公司 | Invasion risk prediction method, device and storage medium for high-speed railway catenary |
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