CN116193240B - Electronic equipment state evaluation method and system - Google Patents
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Abstract
The application relates to the field of self-evaluation related of sensing equipment and discloses a method and a system for evaluating the state of electronic equipment, wherein the method comprises an evaluation sampling module, a characteristic superposition module, a state evaluation module and an intelligent correction module; the method is used for monitoring and evaluating the states of the image acquisition devices such as the monitoring device and the like, so that corresponding correction control can be set according to the evaluation result of the device states of the image acquisition devices, and the information acquisition deficiency caused by the device state problem can be eliminated by executing additional correction image acquisition in the process of data image acquisition, and the image information acquisition requirement after the pixel loss of the acquisition device can be effectively solved.
Description
Technical Field
The application relates to the field of self-evaluation related of sensing equipment, in particular to a state evaluation method and system of electronic equipment.
Background
In the use process of the electronic equipment, certain loss is usually generated along with time, environment and long-term load, so that partial functions are lost or weakened, and therefore, the equipment needs to be found and maintained in time to ensure the normal operation of the equipment, ensure the integrity of the acquired data of the equipment and avoid influencing the use of the data.
In the prior art, when no obvious problem occurs to the evaluation of the electronic equipment, particularly to the monitoring equipment, the inspection is realized by using auxiliary equipment by maintenance personnel, and the inspection period is long, so that when the partial sensor problem occurs to partial camera equipment, the defect of acquired data is easily caused, and the data is not easily found by a user based on the pixel density of the acquired data, thereby influencing the application work progress of the data.
Disclosure of Invention
The application aims to provide a method and a system for evaluating the state of electronic equipment, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present application provides the following technical solutions:
an electronic device status assessment system, comprising:
the system comprises an evaluation sampling module, a detection module and a control module, wherein the evaluation sampling module is used for acquiring a plurality of evaluation auxiliary images through electronic camera equipment at preset evaluation time period intervals, generating an evaluation sequence and marking by using identification information of the electronic camera equipment, and the characteristics of image information in the plurality of evaluation auxiliary images are different;
the feature superposition module is used for carrying out feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images, carrying out planar alignment on the plurality of auxiliary feature images, and acquiring an intersection of feature contents of the plurality of auxiliary feature images which are planar aligned in a planar space to obtain a feature superposition result matched with the evaluation auxiliary image area;
the state evaluation module is used for traversing the feature superposition result, acquiring the distribution coordinates of superposition features in the feature superposition result relative to the evaluation auxiliary image, sequentially carrying out boundary analysis on a plurality of superposition features to acquire a corresponding minimum circumcircle, and establishing an evaluation distribution map based on the distribution coordinates and the minimum circumcircle;
and the intelligent correction module is used for acquiring the maximum diameters of the minimum circumscribed circles in the evaluation distribution map, setting the maximum diameters as evaluation offset values, generating correction acquisition ranges based on the evaluation offset values and outputting the correction acquisition ranges to the electronic camera equipment.
As a further aspect of the application: also included is a correction execution module comprising:
the image pickup acquisition unit is used for acquiring images through the electronic image pickup equipment, controlling the electronic image pickup equipment to a correction acquisition range corresponding to a certain range to acquire correction images after completing image acquisition of objects in the certain range to acquire basic images, and overlapping the same acquired object with at most one minimum circumscribed circle in the basic images and the correction images;
the camera shooting processing unit is used for carrying out stack processing on the basic image and the correction image, generating a synthesized acquisition image and feeding back the synthesized acquisition image to the user side;
and the evaluation feedback unit is used for feeding back and outputting the evaluation distribution map and the corresponding identification information to the user side.
As still further aspects of the application: the intelligent correction module further comprises a focal length correction unit;
the focal length correction unit is used for carrying out scale reduction on the evaluation distribution map when the acquired image is a plane, and setting the scaling factor as an evaluation scaling value when the distribution of the minimum circumscribed circle in the correction acquisition range obtained after the scale reduction is not coincident with the evaluation distribution map of the standard size, so as to acquire the corrected image by the electronic camera equipment.
As still further aspects of the application: the feature superposition module comprises an image feature extraction unit;
the image feature extraction unit is used for sequentially carrying out uniform parameter graying processing, color space normalization processing, image pixel gradient calculation and image cell division statistical processing on a plurality of evaluation auxiliary images in the evaluation sequence so as to obtain the auxiliary feature images containing image feature vectors.
As still further aspects of the application: the electronic camera equipment is also provided with a plurality of image matching pixel blocks in the sensor plane in a preset mode, and the image matching pixel blocks are different in structure and are randomly arranged at the edge position of the sensor plane.
The embodiment of the application aims to provide an electronic equipment state evaluation method, which comprises the following steps:
acquiring a plurality of evaluation auxiliary images through the electronic camera equipment at preset evaluation time period intervals, generating an evaluation sequence and marking by using identification information of the electronic camera equipment, wherein the image information characteristics in the plurality of evaluation auxiliary images are different;
performing feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images, performing plane alignment on the plurality of auxiliary feature images, and acquiring an intersection of feature contents of the plurality of auxiliary feature images aligned in a plane space to obtain a feature superposition result matched with the evaluation auxiliary image region;
traversing the feature superposition result, obtaining the distribution coordinates of superposition features in the feature superposition result relative to the evaluation auxiliary image, sequentially carrying out boundary analysis on a plurality of superposition features to obtain corresponding minimum circumscribed circles, and establishing an evaluation distribution map based on the distribution coordinates and the minimum circumscribed circles;
and acquiring maximum diameters of a plurality of minimum circumscribed circles in the evaluation distribution map, setting the maximum diameters as evaluation offset values, generating a correction acquisition range based on the evaluation offset values, and outputting the correction acquisition range to the electronic image pickup device.
As a further aspect of the application: the method also comprises the steps of:
acquiring images through electronic camera equipment, after completing image acquisition of an object in a certain range to acquire a basic image, controlling the electronic camera equipment to a correction acquisition range corresponding to the range, and acquiring the corrected image again by image acquisition, wherein the same acquired object is overlapped with at most one minimum circumscribed circle in the basic image and the corrected image;
stacking the basic image and the correction image to generate a synthesized acquisition image and feeding back the synthesized acquisition image to a user side;
and feeding back and outputting the evaluation distribution map and corresponding identification information to the user side.
As still further aspects of the application: the method also comprises the steps of:
when the acquired image is a plane, the evaluation distribution map is scaled down, and when the distribution of the minimum circumscribed circle in the corrected acquisition range obtained after scaling down is not coincident with the evaluation distribution map of standard size, the scaling factor is set to an evaluation scaling value for the electronic camera equipment to acquire the corrected image.
As still further aspects of the application: the step of feature extracting the evaluation sequence to obtain a plurality of auxiliary feature images includes:
and sequentially carrying out uniform parameter graying processing, color space normalization processing, image pixel gradient calculation and image cell division statistical processing on a plurality of evaluation auxiliary images in the evaluation sequence to obtain the auxiliary feature images containing image feature vectors.
As still further aspects of the application: the electronic camera equipment is also provided with a plurality of image matching pixel blocks in the sensor plane in a preset mode, and the image matching pixel blocks are different in structure and are randomly arranged at the edge position of the sensor plane.
Compared with the prior art, the application has the beneficial effects that: the method is used for monitoring and evaluating the states of the image acquisition devices such as the monitoring device and the like, so that corresponding correction control can be set according to the evaluation result of the device states of the image acquisition devices, and the information acquisition deficiency caused by the device state problem can be eliminated by executing additional correction image acquisition in the process of data image acquisition, and the image information acquisition requirement after the pixel loss of the acquisition device can be effectively solved.
Drawings
FIG. 1 is a block diagram of an electronic device state evaluation system.
FIG. 2 is a block diagram of a correction execution module in an electronic device state evaluation system.
Fig. 3 is a flow chart of a method for evaluating a status of an electronic device.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Specific implementations of the application are described in detail below in connection with specific embodiments.
As shown in fig. 1, an electronic device status evaluation system according to an embodiment of the present application includes:
the evaluation sampling module 10 is configured to acquire a plurality of evaluation auxiliary images through the electronic image capturing apparatus at preset evaluation time period intervals, generate an evaluation sequence, and mark the evaluation sequence by using identification information of the electronic image capturing apparatus, wherein image information features in the plurality of evaluation auxiliary images are different.
And the feature stacking module 20 is configured to perform feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images, perform planar alignment on the plurality of auxiliary feature images, and perform intersection on feature contents of the plurality of auxiliary feature images aligned in a plane space, so as to obtain a feature stacking result matched with the evaluation auxiliary image region.
The state evaluation module 30 is configured to traverse the feature superposition result, obtain distribution coordinates of superposition features in the feature superposition result relative to the evaluation auxiliary image, sequentially perform boundary analysis on a plurality of superposition features to obtain a corresponding minimum circumscribed circle, and establish an evaluation distribution map based on the distribution coordinates and the minimum circumscribed circle.
And the intelligent correction module 40 is used for acquiring the maximum diameters of the minimum circumscribed circles in the evaluation distribution map, setting the maximum diameters as evaluation offset values, generating a correction acquisition range based on the evaluation offset values and outputting the correction acquisition range to the electronic camera equipment.
In this embodiment, an electronic device state evaluation system is provided, which is used for performing state monitoring evaluation on an image acquisition device such as a monitoring device, so that corresponding correction control can be set according to an evaluation result of the device state of the image acquisition device, and thus information acquisition loss caused by a device state problem can be eliminated by executing additional correction image acquisition in the process of data image acquisition, and the image information acquisition requirement after the pixel loss of the acquisition device can be effectively solved; in use, the main object is a camera with controllable position or changeable focal length (or a part of camera equipment capable of realizing pixel dithering through built-in anti-dithering function, the realization of pixel dithering is realized through dithering, a certain image with different contents is collected through a certain time interval to evaluate the self state of the camera, in the evaluation process, the main realization mode is to extract and display the characteristics of the image, so that the characteristics of the part which are not obvious can appear, for example, when the CMOS surface of the camera has dust, the characteristics are difficult to be obviously found in the photographed images with high brightness and multiple colors, in this case, the images with high brightness and multiple colors can be more obvious through image characteristic processing such as negative film binarization, then characteristic intersection is obtained through superposition of a plurality of characteristic images, namely, the characteristic content of the collected images is removed, the rest characteristics are generated by the camera itself through such intersection operation (the characteristics generated by the self sensor problem are physical, the positions of the self sensor are not changed along with the photographing content, for example, the positions of the CMOS are not damaged, and the pixels are not distributed on the surface of the camera are not damaged, and the positions of the camera can be corrected when the images are lost, and the images are not particularly well-distributed on the surface of the camera are recorded, so that the images can be corrected, and the defects can be corrected by the photographing images are recorded, and the positions are not have the positions are well-damaged.
As shown in fig. 2, as another preferred embodiment of the present application, a correction execution module 50 is further included, including:
the image capturing unit 51 is configured to capture an image by using an electronic image capturing device, and after capturing an image of an object in a certain range to obtain a basic image, control the electronic image capturing device to a correction capturing range corresponding to the range, and capture an image again to obtain a correction image, where the same captured object coincides with at most one minimum circumscribed circle in the basic image and the correction image.
And the image pickup processing unit 52 is used for carrying out stack processing on the basic image and the correction image, generating a synthesized acquisition image and feeding back the synthesized acquisition image to the user side.
And the evaluation feedback unit 53 is configured to feedback and output the evaluation distribution map and the corresponding identification information to the user side.
In this embodiment, a correction execution module 50 is added, which is used for the camera to execute correction acquisition range to perform automatic image acquisition and synthesis, and through acquiring multiple groups of images with offset pixels, all image objects can be acquired by the effective pixels, so that stack synthesis of graphics is performed, and a complete acquired object image is obtained; and simultaneously, the state of the equipment is fed back to a user or a maintainer end, so that the equipment is promoted to be overhauled and maintained.
As another preferred embodiment of the present application, the intelligent correction module 40 further includes a focal length correction unit;
the focal length correction unit is used for carrying out scale reduction on the evaluation distribution map when the acquired image is a plane, and setting the scaling factor as an evaluation scaling value when the distribution of the minimum circumscribed circle in the correction acquisition range obtained after the scale reduction is not coincident with the evaluation distribution map of the standard size, so as to acquire the corrected image by the electronic camera equipment.
In this embodiment, in addition to the method of correcting by evaluating the offset value in the foregoing, the method of correcting by zooming focal length is supplemented, but because spatial compression and perspective change occur during zooming, if the acquired object has depth information in the direction pointing to the acquisition direction of the acquisition device, the focal length zooming mode is not applicable, and because of spatial perspective, part of the objects may not be directly stacked and synthesized, so the focal length zooming correction mode is applicable to scene limitation, is mostly used in image acquisition of planar objects, but has relatively low requirement on the image capturing device.
As another preferred embodiment of the present application, the feature superimposing module 20 includes an image feature extracting unit;
the image feature extraction unit is used for sequentially carrying out uniform parameter graying processing, color space normalization processing, image pixel gradient calculation and image cell division statistical processing on a plurality of evaluation auxiliary images in the evaluation sequence so as to obtain the auxiliary feature images containing image feature vectors.
Furthermore, the electronic image pickup device is further provided with a plurality of image matching pixel blocks in the sensor plane in a preset mode, and the image matching pixel blocks are different in structure and are randomly arranged at the edge position of the sensor plane.
In this embodiment, although it is more convenient to perform feature stacking through the frame of the collection device, only slight deviation at the pixel level is easy to generate, so that part of missing pixels cannot be found effectively.
As shown in fig. 3, the present application further provides a method for evaluating a state of an electronic device, which includes the steps of:
s10, acquiring a plurality of evaluation auxiliary images through the electronic imaging equipment at preset evaluation time period intervals, generating an evaluation sequence and marking by using identification information of the electronic imaging equipment, wherein the characteristics of image information in the plurality of evaluation auxiliary images are different.
And S20, carrying out feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images, carrying out planar alignment on the plurality of auxiliary feature images, and acquiring an intersection of feature contents of the plurality of auxiliary feature images which are planar aligned in a planar space to obtain a feature superposition result matched with the evaluation auxiliary image region.
And S30, traversing the feature superposition result, obtaining the distribution coordinates of superposition features in the feature superposition result relative to the evaluation auxiliary image, sequentially carrying out boundary analysis on a plurality of superposition features to obtain a corresponding minimum circumcircle, and building an evaluation distribution map based on the distribution coordinates and the minimum circumcircle.
S40, obtaining maximum diameters of a plurality of minimum circumscribed circles in the evaluation distribution map, setting the maximum diameters as evaluation offset values, generating correction acquisition ranges based on the evaluation offset values, and outputting the correction acquisition ranges to the electronic image capturing equipment.
As another preferred embodiment of the present application, further comprising the steps of:
and acquiring images through the electronic camera equipment, after the image acquisition of the object in a certain range is completed to acquire a basic image, controlling the electronic camera equipment to a correction acquisition range corresponding to the range, and acquiring the corrected image again by image acquisition, wherein the same acquired object is overlapped with one minimum circumscribed circle at most in the basic image and the corrected image.
And stacking the basic image and the correction image to generate a synthesized acquisition image and feeding back and outputting the synthesized acquisition image to a user side.
And feeding back and outputting the evaluation distribution map and corresponding identification information to the user side.
As another preferred embodiment of the present application, further comprising the steps of:
when the acquired image is a plane, the evaluation distribution map is scaled down, and when the distribution of the minimum circumscribed circle in the corrected acquisition range obtained after scaling down is not coincident with the evaluation distribution map of standard size, the scaling factor is set to an evaluation scaling value for the electronic camera equipment to acquire the corrected image.
As another preferred embodiment of the present application, the step of performing feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images includes:
and sequentially carrying out uniform parameter graying processing, color space normalization processing, image pixel gradient calculation and image cell division statistical processing on a plurality of evaluation auxiliary images in the evaluation sequence to obtain the auxiliary feature images containing image feature vectors.
As another preferred embodiment of the present application, the electronic image capturing apparatus is further preset with a plurality of image matching pixel blocks in the sensor plane, the plurality of image matching pixel blocks being structurally different and being randomly arranged at the edge position of the sensor plane.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. An electronic device state evaluation system, comprising:
the system comprises an evaluation sampling module, a detection module and a control module, wherein the evaluation sampling module is used for acquiring a plurality of evaluation auxiliary images through electronic camera equipment at preset evaluation time period intervals, generating an evaluation sequence and marking by using identification information of the electronic camera equipment, and the characteristics of image information in the plurality of evaluation auxiliary images are different;
the feature superposition module is used for carrying out feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images, carrying out planar alignment on the plurality of auxiliary feature images, and acquiring an intersection of feature contents of the plurality of auxiliary feature images which are planar aligned in a planar space to obtain a feature superposition result matched with the evaluation auxiliary image area;
the state evaluation module is used for traversing the feature superposition result, acquiring the distribution coordinates of superposition features in the feature superposition result relative to the evaluation auxiliary image, sequentially carrying out boundary analysis on a plurality of superposition features to acquire a corresponding minimum circumcircle, and establishing an evaluation distribution map based on the distribution coordinates and the minimum circumcircle;
and the intelligent correction module is used for acquiring the maximum diameters of the minimum circumscribed circles in the evaluation distribution map, setting the maximum diameters as evaluation offset values, generating correction acquisition ranges based on the evaluation offset values and outputting the correction acquisition ranges to the electronic camera equipment.
2. The electronic device state evaluation system of claim 1, further comprising a correction execution module comprising:
the image pickup acquisition unit is used for acquiring images through the electronic image pickup equipment, controlling the electronic image pickup equipment to a correction acquisition range corresponding to a certain range to acquire correction images after completing image acquisition of objects in the certain range to acquire basic images, and overlapping the same acquired object with at most one minimum circumscribed circle in the basic images and the correction images;
the camera shooting processing unit is used for carrying out stack processing on the basic image and the correction image, generating a synthesized acquisition image and feeding back the synthesized acquisition image to the user side;
and the evaluation feedback unit is used for feeding back and outputting the evaluation distribution map and the corresponding identification information to the user side.
3. The electronic device state evaluation system of claim 2, wherein the intelligent correction module further comprises a focal length correction unit;
the focal length correction unit is used for carrying out scale reduction on the evaluation distribution map when the acquired image is a plane, and setting the scaling factor as an evaluation scaling value when the distribution of the minimum circumscribed circle in the correction acquisition range obtained after the scale reduction is not coincident with the evaluation distribution map of the standard size, so as to acquire the corrected image by the electronic camera equipment.
4. The electronic device state evaluation system according to claim 1, wherein the feature superimposing module includes an image feature extracting unit;
the image feature extraction unit is used for sequentially carrying out uniform parameter graying processing, color space normalization processing, image pixel gradient calculation and image cell division statistical processing on a plurality of evaluation auxiliary images in the evaluation sequence so as to obtain the auxiliary feature images containing image feature vectors.
5. The system according to claim 1, wherein the electronic image capturing device is further provided with a plurality of image matching pixel blocks in the sensor plane, and the plurality of image matching pixel blocks are different in structure and are randomly arranged at the edge position of the sensor plane.
6. A method for evaluating the status of an electronic device, comprising the steps of:
acquiring a plurality of evaluation auxiliary images through the electronic camera equipment at preset evaluation time period intervals, generating an evaluation sequence and marking by using identification information of the electronic camera equipment, wherein the image information characteristics in the plurality of evaluation auxiliary images are different;
performing feature extraction on the evaluation sequence to obtain a plurality of auxiliary feature images, performing plane alignment on the plurality of auxiliary feature images, and acquiring an intersection of feature contents of the plurality of auxiliary feature images aligned in a plane space to obtain a feature superposition result matched with the evaluation auxiliary image region;
traversing the feature superposition result, obtaining the distribution coordinates of superposition features in the feature superposition result relative to the evaluation auxiliary image, sequentially carrying out boundary analysis on a plurality of superposition features to obtain corresponding minimum circumscribed circles, and establishing an evaluation distribution map based on the distribution coordinates and the minimum circumscribed circles;
and acquiring maximum diameters of a plurality of minimum circumscribed circles in the evaluation distribution map, setting the maximum diameters as evaluation offset values, generating a correction acquisition range based on the evaluation offset values, and outputting the correction acquisition range to the electronic image pickup device.
7. The method for evaluating the status of an electronic device according to claim 6, further comprising the steps of:
acquiring images through electronic camera equipment, after completing image acquisition of an object in a certain range to acquire a basic image, controlling the electronic camera equipment to a correction acquisition range corresponding to the range, and acquiring the corrected image again by image acquisition, wherein the same acquired object is overlapped with at most one minimum circumscribed circle in the basic image and the corrected image;
stacking the basic image and the correction image to generate a synthesized acquisition image and feeding back the synthesized acquisition image to a user side;
and feeding back and outputting the evaluation distribution map and corresponding identification information to the user side.
8. The method for evaluating the status of an electronic device according to claim 7, further comprising the step of:
when the acquired image is a plane, the evaluation distribution map is scaled down, and when the distribution of the minimum circumscribed circle in the corrected acquisition range obtained after scaling down is not coincident with the evaluation distribution map of standard size, the scaling factor is set to an evaluation scaling value for the electronic camera equipment to acquire the corrected image.
9. The method of claim 6, wherein the step of feature extracting the evaluation sequence to obtain a plurality of auxiliary feature images comprises:
and sequentially carrying out uniform parameter graying processing, color space normalization processing, image pixel gradient calculation and image cell division statistical processing on a plurality of evaluation auxiliary images in the evaluation sequence to obtain the auxiliary feature images containing image feature vectors.
10. The method according to claim 6, wherein the electronic image capturing device further comprises a plurality of image matching pixel blocks in the sensor plane, and the plurality of image matching pixel blocks are different in structure and are randomly arranged at the edge position of the sensor plane.
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