CN116320791B - Image acquisition system and method based on track detection - Google Patents

Abstract

The invention provides an image acquisition system and method based on track detection, wherein the system comprises the following steps: the region acquisition module is used for acquiring a target region for detecting the track, determining an image acquisition region in the target region, and simultaneously acquiring a first environment parameter of the target region and a second environment parameter in the image acquisition region; the analysis module is used for analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device; the image acquisition module is used for determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters. The intelligent of image acquisition by the image acquisition device is improved, and meanwhile, the quality of image acquisition is also improved.

Description

Image acquisition system and method based on track detection

Technical Field

The invention relates to the technical field of image acquisition, in particular to an image acquisition system and method based on track detection.

Background

The railway line equipment is basic equipment of railway transportation industry, wherein the contact line for the electrified railway contact net is exposed in the nature all the time and subjected to weather freezing and thawing and train load, so that the contact line is worn out to different degrees, the form and the size of the contact line are continuously changed, the normal operation of a track is influenced, and the operation quality of the track cannot be ensured, so that the detection of the contact line of the track is an important and basic work for ensuring the transportation safety;

however, when the contact line is detected at present, the contact line is usually photographed in real time, the image information of the contact line in the railway track is acquired, and the quality of the acquired image is not ensured by adjusting the parameters of a camera and determining the range of the image, so that the analysis efficiency of the track detection is underground;

therefore, in order to overcome the above problems, the present invention provides an image acquisition system and method based on track detection.

Disclosure of Invention

The invention provides an image acquisition system and method based on track detection, which are used for effectively acquiring the accuracy of track detection by determining an image acquisition area, objectively and accurately determining target working parameters of an image acquisition device by determining a first influence factor and a second influence factor, adjusting the image acquisition device by the target working parameters, improving the intelligence of image acquisition by the image acquisition device, and improving the quality of image acquisition.

The invention provides an image acquisition system based on track detection, which comprises:

the region acquisition module is used for acquiring a target region for detecting the track, determining an image acquisition region in the target region, and simultaneously acquiring a first environment parameter of the target region and a second environment parameter in the image acquisition region;

the analysis module is used for analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device;

the image acquisition module is used for determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters;

an analysis module, comprising:

the environment parameter acquisition unit is used for acquiring the obtained first environment parameter and second environment parameter, carrying out image acquisition on the image acquisition area for a plurality of times under different values of the first environment parameter and the second environment parameter to obtain a detection image set to be analyzed, identifying each detection image to be analyzed in the detection image set to be analyzed, and determining a target characteristic point area, wherein the value of the first environment parameter changes along with time, and the value of the second environment parameter is unchanged;

A first influence factor determination unit configured to:

determining pixel point gray values of a target characteristic point area, and determining an overall color stability index of each detection image to be analyzed based on target distribution information of the pixel point gray values in the target characteristic point area;

respectively determining the value distribution conditions of the overall color stability indexes of different to-be-analyzed detection images under the same value of the first environmental parameter, simultaneously determining random interference factors existing in the running process of the train, and carrying out first weighting operation on the overall color stability indexes of different to-be-analyzed detection images based on the value distribution conditions and the random interference factors to obtain target overall color stability indexes of all to-be-analyzed detection images acquired under different values of the first environmental parameter and the second environmental parameter;

obtaining a reference quality index of the track detection image, performing difference operation on the reference quality index and a target overall color stability index to obtain a target difference value, and obtaining a first influence factor of the image acquisition device for image acquisition under different first environment parameter values and second environment parameters based on the target difference value, wherein the different first environment parameter values correspond to different reference quality indexes;

A second influence factor determination unit configured to:

acquiring a detection image to be analyzed obtained through multiple image acquisition, determining a target position of a target characteristic point area in the detection image to be analyzed, and determining a shooting angle of an image acquisition device based on the target position;

determining a position deviation between a target position and a theoretical reference position based on a shooting angle, taking the position deviation as a first sub-influence factor, determining the actual resolution of a detection image to be analyzed based on a preset image recognition model, determining a resolution error between the actual resolution and the theoretical reference resolution, and taking the resolution error as a second sub-influence factor;

respectively determining interference weights of the first sub-influence factors and the second sub-influence factors to be analyzed and detecting images, and carrying out second weighting operation on the first sub-influence factors and the second sub-influence factors based on the interference weights to obtain second influence factors;

and the summarizing unit is used for summarizing the first influence factors and the second influence factors and transmitting the summarizing result to the background terminal.

Preferably, an image acquisition system based on track detection, an area acquisition module, includes:

the range determining unit is used for acquiring the track detection requirement of the user and determining the track detection range according to the track detection requirement of the user;

The positioning point determining unit is used for acquiring a detection contour corresponding to the track detection range, determining a key position point in the detection contour, and taking the key position point as a positioning point;

and the target area determining unit is used for positioning the positioning point, determining the position coordinates of the positioning point and determining a target area for detecting the track based on the position coordinates of the positioning point.

Preferably, an image acquisition system based on track detection, an area acquisition module, includes:

the control unit is used for generating a control instruction in the process of the train moving along the track and controlling the laser to emit linear laser based on the control instruction;

a position information acquisition unit configured to:

determining a target intersection point of the linear laser and the contact line, and simultaneously acquiring first position information of the contact line;

determining second position information of the target intersection point on the contact line based on the first position information of the contact line;

and the image acquisition area determining unit is used for acquiring the spot data of the linear laser irradiated on the laser line and determining the image acquisition area based on the second position information of the target intersection point and the spot data.

Preferably, an image acquisition system based on track detection, an area acquisition module, includes:

The first environment parameter acquisition unit is used for determining a first environment parameter of the target area based on the illumination intensity of the current target area and the first area of the current target area;

the second environmental parameter acquisition unit is used for determining a second environmental parameter of the target area based on the laser light intensity of the laser emitting the linear laser, the second area of the image acquisition area and the illumination intensity of the current target area.

Preferably, an image acquisition system based on track detection, a first environmental parameter acquisition unit, includes:

the acquisition subunit is used for acquiring the illumination intensity of the current target area based on the preset acquisition device, acquiring the first area of the target area, and determining the first area brightness of the target area based on the first area of the target area and the illumination intensity;

the first environment parameter generation subunit is configured to obtain a first light direction of the target area, and generate a first environment parameter of the target area based on the first light direction of the target area, the first area brightness, and the illumination intensity.

Preferably, an image acquisition system based on track detection, a second environmental parameter acquisition unit, includes:

The parameter acquisition subunit is used for acquiring the laser intensity of the linear laser emitted by the laser, acquiring the second area of the image acquisition area, determining the brightness of a first subarea of the image acquisition area based on the second area and the laser intensity, and determining the brightness of a second subarea of the image acquisition area based on the illumination intensity and the second area;

the comprehensive light intensity acquisition subunit is used for determining the comprehensive illumination intensity of the image acquisition area based on the illumination intensity and the laser intensity;

the second region brightness acquisition subunit is used for summing the brightness of the first region and the brightness of the second region to obtain the second region brightness of the image acquisition region;

a target light direction acquisition subunit, configured to:

acquiring a second light ray direction of the laser emitting the linear laser;

comparing the brightness of the first subarea with the brightness of the second subarea, and determining the target light direction of the image acquisition area based on the comparison result;

when the brightness of the first subarea is smaller than that of the second subarea, the first light direction is used as a target light direction of the image acquisition area;

when the brightness of the first subarea is equal to the brightness of the second subarea, the first light ray direction or the second light ray direction is used as a target light ray direction of the image acquisition area;

When the brightness of the first subarea is larger than that of the second subarea, the second light direction is used as a target light direction of the image acquisition area;

and the second environment parameter generation subunit is used for generating the second environment parameter of the image acquisition area based on the target light direction, the second area brightness and the comprehensive illumination intensity.

Preferably, an image acquisition system based on track detection, an image acquisition module, includes:

the influence factor acquisition unit is used for acquiring the obtained first influence factor and second influence factor and determining the current configuration parameters of the image acquisition device based on the first influence factor and the second influence factor;

the working parameter determining unit is used for comparing the current configuration parameter with a preset requirement parameter, determining a target working parameter of the image acquisition device and performing parameter adaptation on the image acquisition device based on the target working parameter;

the verification unit is used for pre-collecting the image collecting area according to the image collecting device based on the parameter adapting result to obtain a verification image, matching the verification image with a preset requirement image, judging that the parameter adapting of the image collecting device is qualified when the target error of the verification image and the preset requirement image is within a preset allowable range, and meanwhile, collecting the image collecting area based on the image collecting device after the parameter adapting.

Preferably, an image acquisition system based on track detection, a parameter acquisition subunit, includes:

the first calculating subunit is used for acquiring the initial radius of the laser emitting the linear laser and calculating the spot radius of the laser emitting the linear laser to the image acquisition area based on the initial radius;

the second calculating subunit is used for calculating the laser intensity of the linear laser emitted in the image acquisition area based on the light spot radius of the linear laser emitted to the image acquisition area by the laser;

a judging subunit, configured to:

acquiring the reference laser intensity, comparing the target laser intensity with the reference laser intensity, and judging whether the laser intensity of the linear laser emitted by the current laser is qualified or not;

when the target laser light intensity is equal to the reference laser light intensity, judging that the laser light intensity of the linear laser emitted by the current laser is qualified, and simultaneously, completing the acquisition of the laser light intensity of the linear laser emitted by the laser;

otherwise, judging that the laser intensity of the linear laser emitted by the current laser is unqualified, and simultaneously, performing alarm operation.

The invention provides an image acquisition method based on track detection, which comprises the following steps:

step 1: acquiring a target area for detecting the track, determining an image acquisition area in the target area, and simultaneously acquiring a first environment parameter of the target area and a second environment parameter in the image acquisition area;

Step 2: analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device;

step 3: determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters;

step 21: acquiring the obtained first environmental parameter and second environmental parameter, carrying out image acquisition on the image acquisition area for multiple times under different values of the first environmental parameter and the second environmental parameter to obtain a detection image set to be analyzed, identifying each detection image to be analyzed in the detection image set to be analyzed, and determining a target characteristic point area, wherein the value of the first environmental parameter changes along with time, and the value of the second environmental parameter is unchanged;

determining pixel point gray values of a target characteristic point area, and determining an overall color stability index of each detection image to be analyzed based on target distribution information of the pixel point gray values in the target characteristic point area;

respectively determining the value distribution conditions of the overall color stability indexes of different to-be-analyzed detection images under the same value of the first environmental parameter, simultaneously determining random interference factors existing in the running process of the train, and carrying out first weighting operation on the overall color stability indexes of different to-be-analyzed detection images based on the value distribution conditions and the random interference factors to obtain target overall color stability indexes of all to-be-analyzed detection images acquired under different values of the first environmental parameter and the second environmental parameter;

Obtaining a reference quality index of the track detection image, performing difference operation on the reference quality index and a target overall color stability index to obtain a target difference value, and obtaining a first influence factor of the image acquisition device for image acquisition under different first environment parameter values and second environment parameters based on the target difference value, wherein the different first environment parameter values correspond to different reference quality indexes;

acquiring a detection image to be analyzed obtained through multiple image acquisition, determining a target position of a target characteristic point area in the detection image to be analyzed, and determining a shooting angle of an image acquisition device based on the target position;

determining a position deviation between a target position and a theoretical reference position based on a shooting angle, taking the position deviation as a first sub-influence factor, determining the actual resolution of a detection image to be analyzed based on a preset image recognition model, determining a resolution error between the actual resolution and the theoretical reference resolution, and taking the resolution error as a second sub-influence factor;

respectively determining interference weights of the first sub-influence factors and the second sub-influence factors to be analyzed and detecting images, and carrying out second weighting operation on the first sub-influence factors and the second sub-influence factors based on the interference weights to obtain second influence factors;

And summarizing the first influence factors and the second influence factors, and transmitting the summarizing result to the background terminal.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

The technical scheme of the invention is further described in detail through the drawings and the embodiments.

Drawings

The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:

FIG. 1 is a block diagram of an image acquisition system based on track detection in an embodiment of the invention;

FIG. 2 is a block diagram of a region acquisition module in an image acquisition system based on rail detection in an embodiment of the present invention;

fig. 3 is a flowchart of an image acquisition method based on track detection in an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.

Example 1:

the embodiment provides an image acquisition system based on track detection, as shown in fig. 1, including:

the region acquisition module is used for acquiring a target region for detecting the track, determining an image acquisition region in the target region, and simultaneously acquiring a first environment parameter of the target region and a second environment parameter in the image acquisition region;

the analysis module is used for analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device;

the image acquisition module is used for determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters;

an analysis module, comprising:

the environment parameter acquisition unit is used for acquiring the obtained first environment parameter and second environment parameter, carrying out image acquisition on the image acquisition area for a plurality of times under different values of the first environment parameter and the second environment parameter to obtain a detection image set to be analyzed, identifying each detection image to be analyzed in the detection image set to be analyzed, and determining a target characteristic point area, wherein the value of the first environment parameter changes along with time, and the value of the second environment parameter is unchanged;

A first influence factor determination unit configured to:

determining pixel point gray values of a target characteristic point area, and determining an overall color stability index of each detection image to be analyzed based on target distribution information of the pixel point gray values in the target characteristic point area;

respectively determining the value distribution conditions of the overall color stability indexes of different to-be-analyzed detection images under the same value of the first environmental parameter, simultaneously determining random interference factors existing in the running process of the train, and carrying out first weighting operation on the overall color stability indexes of different to-be-analyzed detection images based on the value distribution conditions and the random interference factors to obtain target overall color stability indexes of all to-be-analyzed detection images acquired under different values of the first environmental parameter and the second environmental parameter;

obtaining a reference quality index of the track detection image, performing difference operation on the reference quality index and a target overall color stability index to obtain a target difference value, and obtaining a first influence factor of the image acquisition device for image acquisition under different first environment parameter values and second environment parameters based on the target difference value, wherein the different first environment parameter values correspond to different reference quality indexes;

A second influence factor determination unit configured to:

acquiring a detection image to be analyzed obtained through multiple image acquisition, determining a target position of a target characteristic point area in the detection image to be analyzed, and determining a shooting angle of an image acquisition device based on the target position;

determining a position deviation between a target position and a theoretical reference position based on a shooting angle, taking the position deviation as a first sub-influence factor, determining the actual resolution of a detection image to be analyzed based on a preset image recognition model, determining a resolution error between the actual resolution and the theoretical reference resolution, and taking the resolution error as a second sub-influence factor;

respectively determining interference weights of the first sub-influence factors and the second sub-influence factors to be analyzed and detecting images, and carrying out second weighting operation on the first sub-influence factors and the second sub-influence factors based on the interference weights to obtain second influence factors;

and the summarizing unit is used for summarizing the first influence factors and the second influence factors and transmitting the summarizing result to the background terminal.

In this embodiment, the values of the different first environmental parameters may be specific sizes of light rays of the image acquisition area by natural light in different time periods in each day, where the sizes of the light rays corresponding to the different time periods are different.

In this embodiment, the to-be-analyzed detection image set may be a plurality of images obtained by performing image acquisition on the image acquisition area for multiple times by the image acquisition device under the first environmental parameter and the second environmental parameter, and is a basis for analyzing the first influence factor and the second influence factor of the image.

In this embodiment, the detection image to be analyzed may be an image included in the detection image set to be analyzed, and is used for recording the track and the contact network to be detected in an image form.

In this embodiment, the target feature point region may be a main image region capable of characterizing an object to be detected (a track or a contact line, etc.) in the detection image to be analyzed, and is a part of the detection image to be analyzed.

In this embodiment, the target distribution information may be a specific position condition of representing gray values of different pixel points in the target feature point area, so as to facilitate determining the influence degree of the first environmental parameter and the second environmental parameter on the image acquisition area.

In this embodiment, the overall color stability indicator is used to characterize the image color condition of the detected image to be analyzed under the influence of the first environmental parameter and the second environmental parameter, and the larger the value is, the more stable the overall color of the detected image to be analyzed is, that is, the smaller the influence degree of the first environmental parameter and the second environmental parameter on the image acquisition area is.

In this embodiment, the value distribution condition is a value condition of an overall color stability index for characterizing the to-be-analyzed detected image under the same value of the first environmental parameter, and is aimed at determining a final overall color stability index of the to-be-analyzed detected image under the value of the first environmental parameter.

In this embodiment, the random interference factor may be a factor that causes a change in the light condition of the image acquisition area due to vibration or tunnel passing of the train during the running process.

In this embodiment, the first weighting operation may be to average the overall color stability index of the same detected image to be analyzed under the same first environmental parameter value, so as to obtain the overall color stability index of the detected image to be analyzed under the first environmental parameter value.

In this embodiment, the target overall color stability index may be an overall color stability index capable of representing the first environmental parameter value and the to-be-analyzed detected image under the second environmental parameter obtained by performing a weighting operation on the overall color stability indexes of the plurality of different to-be-analyzed detected images.

In this embodiment, the reference quality index is set in advance, and is used to characterize the standard quality value that the detected image needs to reach during track detection.

In this embodiment, the target difference may be obtained by subtracting the target overall color stability index and the reference quality index, and is used to represent a difference between the target overall color stability index and the reference quality index.

In this embodiment, the target position is used to characterize the position of the target feature point region in the detected image to be analyzed, for example, may be in the center or the upper left corner.

In this embodiment, the theoretical reference position is used to characterize the situation in which the target feature point region should theoretically be in the detected image to be analyzed.

In this embodiment, the positional deviation may be a deviation condition that characterizes the existence of the target position from the theoretical reference position, specifically, may be a relative direction between the two, a deviation distance in the relative direction, or the like.

In this embodiment, the first sub-impact factor may be a part of the second impact factor with the positional deviation.

In this embodiment, the preset image recognition model is set in advance, and is used for recognizing the actual resolution of the acquired detection image to be analyzed.

In this embodiment, the actual resolution may be the current image resolution representing the acquired detection image to be analyzed, and is a current configuration parameter for representing the image acquisition device.

In this embodiment, the theoretical reference resolution is set in advance, that is, the resolution to be achieved.

In this embodiment, the resolution error may be a degree of deviation of the actual resolution from the theoretical reference resolution.

In this embodiment, the second sub-impact factor may have the resolution error as part of the second impact factor.

In this embodiment, the interference weight is used to characterize how important the position deviation and resolution error are to the acquired image during image acquisition.

The working principle of the technical scheme is as follows: the method comprises the steps of obtaining a target area for detecting a track (the target area is determined according to actual requirements), determining an image acquisition area in the target area (when a train is in a pincer shape along the track, a laser emits linear laser light on a contact line to form bright light spots, and an image acquisition device (i.e. an industrial camera) is used for capturing the light spot area from the side face, wherein the image acquisition device is used for capturing the light spot area from the side face, namely the image acquisition area), simultaneously obtaining a first environment parameter of the target area (i.e. parameters such as light intensity of natural illumination and the like, light direction, area, area brightness of the target area and the like), and obtaining a second environment parameter in the image acquisition area (parameters such as light intensity of laser irradiation, light direction and area brightness of the image acquisition area and the like); analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device (namely, determining the comprehensive light intensity of the image acquisition area and the light intensity parameter of laser irradiation by determining the light intensity parameter of natural illumination and the light intensity parameter of the laser irradiation, wherein the influence degree of the comprehensive light intensity on the image acquisition device during image acquisition is the first influence factor), and simultaneously, acquiring a second influence factor of the image acquisition device (namely, the influence degree of the image acquisition device on the image acquisition, such as shooting angle, initial shooting definition and the like); and determining target working parameters (namely definition, sensitivity, white balance and the like in the image acquisition device) of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire the image of the image acquisition region according to the target working parameters.

The beneficial effects of the technical scheme are as follows: the accuracy of track detection is effectively obtained by determining the image acquisition area, and the target working parameters of the image acquisition device can be objectively and accurately determined by determining the first influence factor and the second influence factor, so that the image acquisition device is adjusted by the target working parameters, the intelligence of the image acquisition device for image acquisition is improved, and meanwhile, the quality of image acquisition is also improved; the first influence factor and the second influence factor are accurately and reliably analyzed according to the integral color stability index of the detection image to be analyzed, the target position of the target characteristic point area in the detection image to be analyzed and the actual resolution of the detection image to be analyzed, and the difference between the target position of the target characteristic point area in the detection image to be analyzed and the actual resolution of the detection image to be analyzed and the corresponding theoretical value, so that the image acquisition device is conveniently and accurately and reliably adjusted according to the first influence factor and the second influence factor, the accuracy and reliability of the finally acquired image are ensured, and the image acquisition quality is also improved.

Example 2:

on the basis of embodiment 1, this embodiment provides an image acquisition system based on track detection, as shown in fig. 2, an area acquisition module, including:

the range determining unit is used for acquiring the track detection requirement of the user and determining the track detection range according to the track detection requirement of the user;

the positioning point determining unit is used for acquiring a detection contour corresponding to the track detection range, determining a key position point in the detection contour, and taking the key position point as a positioning point;

and the target area determining unit is used for positioning the positioning point, determining the position coordinates of the positioning point and determining a target area for detecting the track based on the position coordinates of the positioning point.

In this embodiment, the track detection requirement may be a purpose of characterizing the need to detect the track, a severity of the track detection, etc.

In this embodiment, the track detection range may be a size characterizing the area where track detection is required, thereby facilitating accurate and reliable track detection.

In this embodiment, the detection profile may be a shape or a region shape corresponding to the detection range of the characterization track.

In this embodiment, the key position point may be a position in the track detection range where the important detection is required, so as to facilitate improvement of the detection accuracy of the track.

In this embodiment, the position coordinates are specific position information for characterizing that the key position point is within the track detection range.

The beneficial effects of the technical scheme are as follows: the detection requirement of the track is determined, the detection requirement is analyzed, the accurate and effective determination of the track detection range is realized, the detection contour of the track detection range is determined, the locking of the key position points in the track detection range is realized, and finally, the locking of the target area for detecting the track is realized according to the position coordinates of the key position points, so that the accurate and reliable image acquisition of the target area is conveniently carried out through the image acquisition device, and the quality of the image acquisition is also ensured.

Example 3:

on the basis of embodiment 1, this embodiment provides an image acquisition system based on track detection, and an area acquisition module includes:

the control unit is used for generating a control instruction in the process of the train moving along the track and controlling the laser to emit linear laser based on the control instruction;

a position information acquisition unit configured to:

determining a target intersection point of the linear laser and the contact line, and simultaneously acquiring first position information of the contact line;

Determining second position information of the target intersection point on the contact line based on the first position information of the contact line;

and the image acquisition area determining unit is used for acquiring the spot data of the linear laser irradiated on the laser line and determining the image acquisition area based on the second position information of the target intersection point and the spot data.

In this embodiment, the spot data may be spot profile data, spot pixel information, or the like of a linear laser irradiated on a laser line.

In this embodiment, the first position information may be position information of a contact line, and the second position information may be position information of an intersection portion between the linear laser and the contact line.

In this embodiment, the control instructions are for controlling the laser to emit linear laser light, thereby facilitating the determination of the image acquisition area.

In this embodiment, the target intersection point is a point used to characterize the intersection of the laser light with the contact line.

In this embodiment, the first location information is a specific location for characterizing the contact line.

In this embodiment, the second position information is used to characterize the specific position of the target intersection point on the contact line.

The beneficial effects of the technical scheme are as follows: the control instruction is generated in the process that the train moves along the track, and the laser is controlled to emit linear laser according to the control instruction, so that the first position of the contact line and the second position information of the target intersection point of the linear laser and the contact line on the contact line are conveniently determined according to the linear laser, the accurate and effective locking of the image acquisition area is finally realized according to the spot data of the linear laser irradiated on the laser line and the second position information of the target intersection point, the acquisition accuracy and the reliability of images required by track detection are ensured, and meanwhile, the quality of image acquisition is also improved.

Example 4:

on the basis of embodiment 1, this embodiment provides an image acquisition system based on track detection, and an area acquisition module includes:

the first environment parameter acquisition unit is used for determining a first environment parameter of the target area based on the illumination intensity of the current target area and the first area of the current target area;

the second environmental parameter acquisition unit is used for determining a second environmental parameter of the target area based on the laser light intensity of the laser emitting the linear laser, the second area of the image acquisition area and the illumination intensity of the current target area.

In this embodiment, the illumination intensity may be the illumination condition of the natural light on the target area, and a larger value indicates that the natural light provides better light to the target area.

In this embodiment, the first region area may be an area value of the target region.

In this embodiment, the second area may be an area value of the image capturing area, and the value is smaller than the area of the target area (i.e. the area of the first area).

The beneficial effects of the technical scheme are as follows: through the environmental parameters of the target area and the image acquisition area respectively, whether the image acquisition area meets the image acquisition conditions or not is conveniently judged in time according to the environmental parameters, so that when the image acquisition conditions do not meet the requirements, the laser transmitter is conveniently and timely subjected to parameter configuration, the intelligence of image acquisition by the image acquisition device is improved, and meanwhile, the quality of image acquisition is also improved.

Example 5:

on the basis of embodiment 4, this embodiment provides an image acquisition system based on track detection, a first environmental parameter acquisition unit, including:

the acquisition subunit is used for acquiring the illumination intensity of the current target area based on the preset acquisition device, acquiring the first area of the target area, and determining the first area brightness of the target area based on the first area of the target area and the illumination intensity;

the first environment parameter generation subunit is configured to obtain a first light direction of the target area, and generate a first environment parameter of the target area based on the first light direction of the target area, the first area brightness, and the illumination intensity.

In this embodiment, the preset collecting device is set in advance, and is used for collecting the illumination intensity value of the target area.

In this embodiment, the first area brightness is used to characterize the current light quality of the target area, so as to determine whether the target area meets the image acquisition requirement.

In this embodiment, the first light direction is used to characterize the irradiation angle and irradiation direction of natural light in the target area, and specifically may be irradiation from the right south at an inclination of 60 degrees, or the like.

The beneficial effects of the technical scheme are as follows: the illumination intensity and the first area of the target area are determined, the first area brightness of the target area is locked, and the first light direction of the target area is determined, so that the first environment parameter of the target area is obtained according to the first light direction, the illumination intensity and the first area brightness, the accuracy and the reliability of the obtained first environment parameter are ensured, meanwhile, the working parameters of the laser transmitter are conveniently and timely adjusted, and the quality of the acquired track image is ensured.

Example 6:

on the basis of embodiment 4, this embodiment provides an image acquisition system based on track detection, and a second environmental parameter acquisition unit includes:

the parameter acquisition subunit is used for acquiring the laser intensity of the linear laser emitted by the laser, acquiring the second area of the image acquisition area, determining the brightness of a first subarea of the image acquisition area based on the second area and the laser intensity, and determining the brightness of a second subarea of the image acquisition area based on the illumination intensity and the second area;

the comprehensive light intensity acquisition subunit is used for determining the comprehensive illumination intensity of the image acquisition area based on the illumination intensity and the laser intensity;

The second region brightness acquisition subunit is used for summing the brightness of the first region and the brightness of the second region to obtain the second region brightness of the image acquisition region;

a target light direction acquisition subunit, configured to:

acquiring a second light ray direction of the laser emitting the linear laser;

comparing the brightness of the first subarea with the brightness of the second subarea, and determining the target light direction of the image acquisition area based on the comparison result;

when the brightness of the first subarea is smaller than that of the second subarea, the first light direction is used as a target light direction of the image acquisition area;

when the brightness of the first subarea is equal to the brightness of the second subarea, the first light ray direction or the second light ray direction is used as a target light ray direction of the image acquisition area;

when the brightness of the first subarea is larger than that of the second subarea, the second light direction is used as a target light direction of the image acquisition area;

and the second environment parameter generation subunit is used for generating the second environment parameter of the image acquisition area based on the target light direction, the second area brightness and the comprehensive illumination intensity.

In this embodiment, the brightness of the first sub-region may be a brightness of light that characterizes the image acquisition region and is provided by the laser intensity to the image acquisition region.

In this embodiment, the second sub-region brightness may be a light brightness condition characterizing the image acquisition region under the first environmental parameter.

In this embodiment, the integrated illumination intensity may be a final illumination intensity obtained by reducing the sum of the illumination intensity in the natural environment and the illumination intensity irradiated by the laser.

In this embodiment, the second area brightness may be the current area brightness of the obtained image acquisition area after the brightness of the first sub-area is reduced and the brightness of the second sub-area is summarized.

In this embodiment, the second light direction is a light direction that characterizes the formation of the laser transmitter at the image acquisition area.

In this embodiment, the target light direction is the final illumination direction used to characterize the image acquisition area under natural light and laser light emitted by the laser.

The beneficial effects of the technical scheme are as follows: the method has the advantages that the regional brightness of the image acquisition region under natural light and linear laser is analyzed, the final light direction of the image acquisition region is determined according to the regional brightness, and finally, the second environment parameters of the image acquisition region are accurately and effectively analyzed according to the light direction, the regional brightness and the comprehensive illumination intensity, so that convenience and guarantee are provided for timely adjusting the configuration parameters of the laser, and the quality of the acquired image is also facilitated to be ensured.

Example 7:

on the basis of embodiment 1, this embodiment provides an image acquisition system based on track detection, an image acquisition module, includes:

the influence factor acquisition unit is used for acquiring the obtained first influence factor and second influence factor and determining the current configuration parameters of the image acquisition device based on the first influence factor and the second influence factor;

the working parameter determining unit is used for comparing the current configuration parameter with a preset requirement parameter, determining a target working parameter of the image acquisition device and performing parameter adaptation on the image acquisition device based on the target working parameter;

the verification unit is used for pre-collecting the image collecting area according to the image collecting device based on the parameter adapting result to obtain a verification image, matching the verification image with a preset requirement image, judging that the parameter adapting of the image collecting device is qualified when the target error of the verification image and the preset requirement image is within a preset allowable range, and meanwhile, collecting the image collecting area based on the image collecting device after the parameter adapting.

In this embodiment, the current configuration parameter may be a configuration that characterizes when the image capturing device currently captures an image of the image capturing area, and may specifically be a capturing angle, a resolution, and the like.

In this embodiment, the preset requirement parameter may be a configuration condition that the image capturing device needs to reach.

In this embodiment, the target operating parameter may be a specific value that characterizes the need for adjustment of various configurations of the image acquisition device.

In this embodiment, the preset requirement image is set in advance, and is a reference for measuring whether the acquired verification image meets the requirement.

In this embodiment, the preset allowable range is set in advance, and is used to characterize the allowable error value.

The beneficial effects of the technical scheme are as follows: the method comprises the steps of accurately acquiring the current configuration parameters of the image acquisition device according to the first influence factor and the second influence factor, comparing the current configuration parameters with preset requirement parameters, accurately analyzing target working parameters of the image acquisition device, finally carrying out parameter adaptation on the image acquisition device through the target working parameters, carrying out image acquisition through the adapted image acquisition device, verifying whether the image acquired by the image acquisition device after parameter adaptation meets the requirement, carrying out image acquisition on the image acquisition area through the image acquisition device after meeting the requirement, improving the intelligence of the image acquisition device, and improving the quality of the image acquisition.

Example 8:

on the basis of embodiment 6, this embodiment provides an image acquisition system based on track detection, a parameter acquisition subunit, including:

the first calculating subunit is used for acquiring the initial radius of the laser emitting the linear laser and calculating the spot radius of the laser emitting the linear laser to the image acquisition area based on the initial radius;

/>

wherein ω represents the spot radius of the laser emitting the linear laser to the image acquisition region; omega ₀ Representing an initial radius of the laser emitting the linear laser light; z represents the beam transmission distance of the linear laser; λ represents the optical wavelength of the linear laser;

the second calculating subunit is used for calculating the laser intensity of the linear laser emitted in the image acquisition area based on the light spot radius of the linear laser emitted to the image acquisition area by the laser;

wherein Q represents the laser intensity of the linear laser emitted in the image acquisition area; p represents the beam energy of the linear laser; mu represents a constant and has a value of 2;

a judging subunit, configured to:

acquiring the reference laser intensity, comparing the target laser intensity with the reference laser intensity, and judging whether the laser intensity of the linear laser emitted by the current laser is qualified or not;

When the target laser light intensity is equal to the reference laser light intensity, judging that the laser light intensity of the linear laser emitted by the current laser is qualified, and simultaneously, completing the acquisition of the laser light intensity of the linear laser emitted by the laser;

otherwise, judging that the laser intensity of the linear laser emitted by the current laser is unqualified, and simultaneously, performing alarm operation.

In this embodiment, the reference laser intensity may be set in advance, and when the laser intensity matches the reference laser intensity, the reference laser intensity is used as an optimal shooting environment to measure whether the laser intensity of the linear laser emitted by the current laser is acceptable.

The beneficial effects of the technical scheme are as follows: the laser intensity of the linear laser emitted by the laser is calculated, so that whether the laser intensity of the linear laser emitted by the current laser is qualified or not is judged according to a calculation result, the control of the laser intensity is facilitated, and the accuracy and the acquisition quality of image acquisition of an image acquisition area are further ensured.

Example 9:

the embodiment provides an image acquisition method based on track detection, as shown in fig. 3, including:

step 1: acquiring a target area for detecting the track, determining an image acquisition area in the target area, and simultaneously acquiring a first environment parameter of the target area and a second environment parameter in the image acquisition area;

Step 2: analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device;

step 3: determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters;

step 21: acquiring the obtained first environmental parameter and second environmental parameter, carrying out image acquisition on the image acquisition area for multiple times under different values of the first environmental parameter and the second environmental parameter to obtain a detection image set to be analyzed, identifying each detection image to be analyzed in the detection image set to be analyzed, and determining a target characteristic point area, wherein the value of the first environmental parameter changes along with time, and the value of the second environmental parameter is unchanged;

determining pixel point gray values of a target characteristic point area, and determining an overall color stability index of each detection image to be analyzed based on target distribution information of the pixel point gray values in the target characteristic point area;

respectively determining the value distribution conditions of the overall color stability indexes of different to-be-analyzed detection images under the same value of the first environmental parameter, simultaneously determining random interference factors existing in the running process of the train, and carrying out first weighting operation on the overall color stability indexes of different to-be-analyzed detection images based on the value distribution conditions and the random interference factors to obtain target overall color stability indexes of all to-be-analyzed detection images acquired under different values of the first environmental parameter and the second environmental parameter;

Obtaining a reference quality index of the track detection image, performing difference operation on the reference quality index and a target overall color stability index to obtain a target difference value, and obtaining a first influence factor of the image acquisition device for image acquisition under different first environment parameter values and second environment parameters based on the target difference value, wherein the different first environment parameter values correspond to different reference quality indexes;

acquiring a detection image to be analyzed obtained through multiple image acquisition, determining a target position of a target characteristic point area in the detection image to be analyzed, and determining a shooting angle of an image acquisition device based on the target position;

determining a position deviation between a target position and a theoretical reference position based on a shooting angle, taking the position deviation as a first sub-influence factor, determining the actual resolution of a detection image to be analyzed based on a preset image recognition model, determining a resolution error between the actual resolution and the theoretical reference resolution, and taking the resolution error as a second sub-influence factor;

respectively determining interference weights of the first sub-influence factors and the second sub-influence factors to be analyzed and detecting images, and carrying out second weighting operation on the first sub-influence factors and the second sub-influence factors based on the interference weights to obtain second influence factors;

And summarizing the first influence factors and the second influence factors, and transmitting the summarizing result to the background terminal.

The beneficial effects of the technical scheme are as follows: the accuracy of track detection is effectively obtained by determining the image acquisition area, and the target working parameters of the image acquisition device can be objectively and accurately determined by determining the first influence factor and the second influence factor, so that the image acquisition device is adjusted by the target working parameters, the intelligence of the image acquisition device for image acquisition is improved, and meanwhile, the quality of image acquisition is also improved; the first influence factor and the second influence factor are accurately and reliably analyzed according to the integral color stability index of the detection image to be analyzed, the target position of the target characteristic point area in the detection image to be analyzed and the actual resolution of the detection image to be analyzed, and the difference between the target position of the target characteristic point area in the detection image to be analyzed and the actual resolution of the detection image to be analyzed and the corresponding theoretical value, so that the image acquisition device is conveniently and accurately and reliably adjusted according to the first influence factor and the second influence factor, the accuracy and reliability of the finally acquired image are ensured, and the image acquisition quality is also improved.

It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (9)

1. An image acquisition system based on track detection, comprising:

the region acquisition module is used for acquiring a target region for detecting the track, determining an image acquisition region in the target region, and simultaneously acquiring a first environment parameter of the target region and a second environment parameter in the image acquisition region;

the analysis module is used for analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device;

the image acquisition module is used for determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters;

an analysis module, comprising:

The environment parameter acquisition unit is used for acquiring the obtained first environment parameter and second environment parameter, carrying out image acquisition on the image acquisition area for a plurality of times under different values of the first environment parameter and the second environment parameter to obtain a detection image set to be analyzed, identifying each detection image to be analyzed in the detection image set to be analyzed, and determining a target characteristic point area, wherein the value of the first environment parameter changes along with time, and the value of the second environment parameter is unchanged;

a first influence factor determination unit configured to:

determining pixel point gray values of a target characteristic point area, and determining an overall color stability index of each detection image to be analyzed based on target distribution information of the pixel point gray values in the target characteristic point area;

respectively determining the value distribution conditions of the overall color stability indexes of different to-be-analyzed detection images under the same value of the first environmental parameter, simultaneously determining random interference factors existing in the running process of the train, and carrying out first weighting operation on the overall color stability indexes of different to-be-analyzed detection images based on the value distribution conditions and the random interference factors to obtain target overall color stability indexes of all to-be-analyzed detection images acquired under different values of the first environmental parameter and the second environmental parameter;

Obtaining a reference quality index of the track detection image, performing difference operation on the reference quality index and a target overall color stability index to obtain a target difference value, and obtaining a first influence factor of the image acquisition device for image acquisition under different first environment parameter values and second environment parameters based on the target difference value, wherein the different first environment parameter values correspond to different reference quality indexes;

a second influence factor determination unit configured to:

acquiring a detection image to be analyzed obtained through multiple image acquisition, determining a target position of a target characteristic point area in the detection image to be analyzed, and determining a shooting angle of an image acquisition device based on the target position;

determining a position deviation between a target position and a theoretical reference position based on a shooting angle, taking the position deviation as a first sub-influence factor, determining the actual resolution of a detection image to be analyzed based on a preset image recognition model, determining a resolution error between the actual resolution and the theoretical reference resolution, and taking the resolution error as a second sub-influence factor;

respectively determining interference weights of the first sub-influence factors and the second sub-influence factors to be analyzed and detecting images, and carrying out second weighting operation on the first sub-influence factors and the second sub-influence factors based on the interference weights to obtain second influence factors;

And the summarizing unit is used for summarizing the first influence factors and the second influence factors and transmitting the summarizing result to the background terminal.

2. The track detection-based image acquisition system of claim 1, wherein the region acquisition module comprises:

the range determining unit is used for acquiring the track detection requirement of the user and determining the track detection range according to the track detection requirement of the user;

the positioning point determining unit is used for acquiring a detection contour corresponding to the track detection range, determining a key position point in the detection contour, and taking the key position point as a positioning point;

and the target area determining unit is used for positioning the positioning point, determining the position coordinates of the positioning point and determining a target area for detecting the track based on the position coordinates of the positioning point.

3. The track detection-based image acquisition system of claim 1, wherein the region acquisition module comprises:

the control unit is used for generating a control instruction in the process of the train moving along the track and controlling the laser to emit linear laser based on the control instruction;

a position information acquisition unit configured to:

determining a target intersection point of the linear laser and the contact line, and simultaneously acquiring first position information of the contact line;

Determining second position information of the target intersection point on the contact line based on the first position information of the contact line;

and the image acquisition area determining unit is used for acquiring the spot data of the linear laser irradiated on the laser line and determining the image acquisition area based on the second position information of the target intersection point and the spot data.

4. The track detection-based image acquisition system of claim 1, wherein the region acquisition module comprises:

the first environment parameter acquisition unit is used for determining a first environment parameter of the target area based on the illumination intensity of the current target area and the first area of the current target area;

the second environmental parameter acquisition unit is used for determining a second environmental parameter of the target area based on the laser light intensity of the laser emitting the linear laser, the second area of the image acquisition area and the illumination intensity of the current target area.

5. The track detection-based image acquisition system of claim 4, wherein the first environmental parameter acquisition unit includes:

the acquisition subunit is used for acquiring the illumination intensity of the current target area based on the preset acquisition device, acquiring the first area of the target area, and determining the first area brightness of the target area based on the first area of the target area and the illumination intensity;

The first environment parameter generation subunit is configured to obtain a first light direction of the target area, and generate a first environment parameter of the target area based on the first light direction of the target area, the first area brightness, and the illumination intensity.

6. The track-detection-based image acquisition system of claim 4, wherein the second environmental parameter acquisition unit includes:

the parameter acquisition subunit is used for acquiring the laser intensity of the linear laser emitted by the laser, acquiring the second area of the image acquisition area, determining the brightness of a first subarea of the image acquisition area based on the second area and the laser intensity, and determining the brightness of a second subarea of the image acquisition area based on the illumination intensity and the second area;

the comprehensive light intensity acquisition subunit is used for determining the comprehensive illumination intensity of the image acquisition area based on the illumination intensity and the laser intensity;

the second region brightness acquisition subunit is used for summing the brightness of the first region and the brightness of the second region to obtain the second region brightness of the image acquisition region;

a target light direction acquisition subunit, configured to:

acquiring a second light ray direction of the laser emitting the linear laser;

Comparing the brightness of the first subarea with the brightness of the second subarea, and determining the target light direction of the image acquisition area based on the comparison result;

when the brightness of the first subarea is smaller than that of the second subarea, the first light direction is used as a target light direction of the image acquisition area;

when the brightness of the first subarea is equal to the brightness of the second subarea, the first light ray direction or the second light ray direction is used as a target light ray direction of the image acquisition area;

when the brightness of the first subarea is larger than that of the second subarea, the second light direction is used as a target light direction of the image acquisition area;

and the second environment parameter generation subunit is used for generating the second environment parameter of the image acquisition area based on the target light direction, the second area brightness and the comprehensive illumination intensity.

7. The track detection-based image acquisition system of claim 1, wherein the image acquisition module comprises:

the influence factor acquisition unit is used for acquiring the obtained first influence factor and second influence factor and determining the current configuration parameters of the image acquisition device based on the first influence factor and the second influence factor;

the working parameter determining unit is used for comparing the current configuration parameter with a preset requirement parameter, determining a target working parameter of the image acquisition device and performing parameter adaptation on the image acquisition device based on the target working parameter;

The verification unit is used for pre-collecting the image collecting area according to the image collecting device based on the parameter adapting result to obtain a verification image, matching the verification image with a preset requirement image, judging that the parameter adapting of the image collecting device is qualified when the target error of the verification image and the preset requirement image is within a preset allowable range, and meanwhile, collecting the image collecting area based on the image collecting device after the parameter adapting.

8. The track detection-based image acquisition system of claim 6, wherein the parameter acquisition subunit comprises:

the first calculating subunit is used for acquiring the initial radius of the laser emitting the linear laser and calculating the spot radius of the laser emitting the linear laser to the image acquisition area based on the initial radius;

the second calculating subunit is used for calculating the laser intensity of the linear laser emitted in the image acquisition area based on the light spot radius of the linear laser emitted to the image acquisition area by the laser;

a judging subunit, configured to:

acquiring the reference laser intensity, comparing the target laser intensity with the reference laser intensity, and judging whether the laser intensity of the linear laser emitted by the current laser is qualified or not;

When the target laser light intensity is equal to the reference laser light intensity, judging that the laser light intensity of the linear laser emitted by the current laser is qualified, and simultaneously, completing the acquisition of the laser light intensity of the linear laser emitted by the laser;

otherwise, judging that the laser intensity of the linear laser emitted by the current laser is unqualified, and simultaneously, performing alarm operation.

9. An image acquisition method based on track detection is characterized by comprising the following steps:

step 1: acquiring a target area for detecting the track, determining an image acquisition area in the target area, and simultaneously acquiring a first environment parameter of the target area and a second environment parameter in the image acquisition area;

step 2: analyzing the first environmental parameter and the second environmental parameter to determine a first influence factor for image acquisition of the image acquisition device, and acquiring a second influence factor of the image acquisition device;

step 3: determining target working parameters of the image acquisition device based on the first influence factor and the second influence factor, and adjusting the image acquisition device to acquire images of the image acquisition area according to the target working parameters;

step 21: acquiring the obtained first environmental parameter and second environmental parameter, carrying out image acquisition on the image acquisition area for multiple times under different values of the first environmental parameter and the second environmental parameter to obtain a detection image set to be analyzed, identifying each detection image to be analyzed in the detection image set to be analyzed, and determining a target characteristic point area, wherein the value of the first environmental parameter changes along with time, and the value of the second environmental parameter is unchanged;

Determining pixel point gray values of a target characteristic point area, and determining an overall color stability index of each detection image to be analyzed based on target distribution information of the pixel point gray values in the target characteristic point area;

respectively determining the value distribution conditions of the overall color stability indexes of different to-be-analyzed detection images under the same value of the first environmental parameter, simultaneously determining random interference factors existing in the running process of the train, and carrying out first weighting operation on the overall color stability indexes of different to-be-analyzed detection images based on the value distribution conditions and the random interference factors to obtain target overall color stability indexes of all to-be-analyzed detection images acquired under different values of the first environmental parameter and the second environmental parameter;

obtaining a reference quality index of the track detection image, performing difference operation on the reference quality index and a target overall color stability index to obtain a target difference value, and obtaining a first influence factor of the image acquisition device for image acquisition under different first environment parameter values and second environment parameters based on the target difference value, wherein the different first environment parameter values correspond to different reference quality indexes;

acquiring a detection image to be analyzed obtained through multiple image acquisition, determining a target position of a target characteristic point area in the detection image to be analyzed, and determining a shooting angle of an image acquisition device based on the target position;

Determining a position deviation between a target position and a theoretical reference position based on a shooting angle, taking the position deviation as a first sub-influence factor, determining the actual resolution of a detection image to be analyzed based on a preset image recognition model, determining a resolution error between the actual resolution and the theoretical reference resolution, and taking the resolution error as a second sub-influence factor;

respectively determining interference weights of the first sub-influence factors and the second sub-influence factors to be analyzed and detecting images, and carrying out second weighting operation on the first sub-influence factors and the second sub-influence factors based on the interference weights to obtain second influence factors;

and summarizing the first influence factors and the second influence factors, and transmitting the summarizing result to the background terminal.