CN115002434B - Video and audio equipment supervision system and method based on visual analysis - Google Patents
Video and audio equipment supervision system and method based on visual analysis Download PDFInfo
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- CN115002434B CN115002434B CN202210919300.4A CN202210919300A CN115002434B CN 115002434 B CN115002434 B CN 115002434B CN 202210919300 A CN202210919300 A CN 202210919300A CN 115002434 B CN115002434 B CN 115002434B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B21/00—Projectors or projection-type viewers; Accessories therefor
- G03B21/005—Projectors using an electronic spatial light modulator but not peculiar thereto
- G03B21/006—Projectors using an electronic spatial light modulator but not peculiar thereto using LCD's
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- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B21/00—Projectors or projection-type viewers; Accessories therefor
- G03B21/14—Details
- G03B21/20—Lamp housings
Abstract
The invention discloses a video and audio equipment supervision system and method based on visual analysis.A fuzzy value calculation module calibrates a projection picture corresponding to a projector in video and audio equipment according to the position of the video and audio equipment corresponding to a projection screen, acquires the calibrated projection picture, marks the projection picture as a first picture, marks an original picture corresponding to the projection picture as a second picture, and acquires a relative fuzzy degree quantized value of the first picture relative to the second picture, and marks the quantized value as a first fuzzy value. The invention relates to the technical field of equipment supervision, and in the process of monitoring and managing the state of audio-visual equipment, the invention analyzes the relationship between the hardware of a projector in the audio-visual equipment and the service life, thereby accurately predicting the service life of the projector, early warning the state of the projector in advance and realizing the effective management of the audio-visual equipment.
Description
Technical Field
The invention relates to the technical field of equipment supervision, in particular to a video and audio equipment supervision system and method based on visual analysis.
Background
Along with the development of science and technology, projection equipment's application is more and more extensive, through with image or video projection on the curtain, people can obtain better visual experience, compare in traditional display screen, its projection screen is bigger, and the visual impression is better, and then receives liking of people. However, the projection device also has some defects, because the precision of the optical element adopted by the projection device is higher, and the projection device continuously plays, the projection lamp bulb has a wear condition, so that the projection picture is blurred, and meanwhile, the liquid crystal display in the projection device can have a displacement condition under the condition of vibration of the device, so that convergence of three LCDs during projection is influenced, and further, the RGB colors are misaligned, the projection picture is seriously influenced, and the picture is blurred.
The current video and audio equipment supervisory systems based on visual analysis, and then monitor the management to video and audio equipment's state, do not carry out the analysis to the relation between the hardware of projecting apparatus and the life among the video and audio equipment, and then the life-span of unable accurate prediction projecting apparatus, can't carry out the early warning to the state of projecting apparatus in advance, realize the effective management to video and audio equipment.
Disclosure of Invention
The invention aims to provide a video and audio equipment monitoring system and method based on visual analysis, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a video and audio equipment supervision method based on visual analysis comprises the following steps:
s1, acquiring projection bulb information and liquid crystal sheet information in video equipment at intervals of unit time through a sensor, wherein the projection bulb information comprises the using condition of a projection bulb, the liquid crystal sheet information comprises the displacement distance of a liquid crystal sheet, and the unit time is a preset constant in a database;
s2, calibrating a projection picture corresponding to a projector in the audio-visual equipment according to the position of the audio-visual equipment corresponding to a projection screen, acquiring the calibrated projection picture, recording the calibrated projection picture as a first picture, recording an original picture corresponding to the projection picture as a second picture, acquiring a relative fuzzy degree quantization value of the first picture relative to the second picture, and recording the relative fuzzy degree quantization value as a first fuzzy value;
s3, analyzing projection bulb information and liquid crystal display information in the audio and video equipment to obtain a hardware comprehensive deviation value of the audio and video equipment;
s4, acquiring a functional relation between a first fuzzy value of the audio and video equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio and video equipment;
s5, acquiring hardware comprehensive deviation values corresponding to the audio and video equipment to be tested at different times, predicting first fuzzy values corresponding to the audio and video equipment to be tested at different times based on the functional relation, and predicting the service life of the audio and video equipment according to the prediction result;
and S6, acquiring a predicted value t0 of the service life of the audio-video equipment to be tested, and managing the audio-video equipment to be tested by combining projection lamp information and liquid crystal film information of the corresponding audio-video equipment in historical data.
Further, the method for calibrating the projection picture corresponding to the projector in the audio/video device in S2 includes the following steps:
s2.1, respectively arranging a photosensitive sensor at four corners of the upper left corner, the lower left corner, the upper right corner and the lower right corner on the projection screen, and respectively recording the photosensitive sensors as a second photosensitive sensor, a third photosensitive sensor, a fourth photosensitive sensor and a fifth photosensitive sensor;
s2.2, acquiring the working states of the second, third, fourth and fifth photosensitive sensors in real time, and storing the working states of the second, third, fourth and fifth photosensitive sensors into a blank set one by one when the photosensitive sensors are used for t to obtain a first set corresponding to the used time t, wherein the working states of the photosensitive sensors comprise 1 corresponding to the working states and 0 corresponding to the non-working states, the working state 1 represents that a projection picture covers the position of the photosensitive sensors, and the working state 0 represents that the projection picture does not cover the position of the photosensitive sensors;
s2.3, judging the elements in the first set corresponding to the use time t,
when the values corresponding to all the elements in the first set are 0, judging that the projection direction of the projector is wrong, reminding a user to calibrate the projection direction,
when the value corresponding to each element in the first set has 1, the projector automatically calibrates the projection picture;
s2.4, in the process of automatically calibrating the projection picture by the projector, acquiring the number a of elements and the magnification ratio b of the projection picture, wherein the median of the first set is 1, keeping the direction of the projection picture unchanged, adjusting the magnification ratio of the picture under the condition of equal proportion, acquiring the magnification ratio b1 of the projection picture corresponding to the number a +1 of the elements, wherein the median of the first set is 1, and a newly added photosensitive sensor with the working state of 1, wherein b1 represents a critical value of the magnification ratio of the projection picture, namely the number a of the elements, wherein the median of the first set is 1, is less than b1, when the magnification ratio of the projection picture is less than b1, obtaining the minimum position deviation ratio b1-b corresponding to the newly added photosensitive sensor with the working state of 1, calculating the deviation position (c 1 (b 1-b) and c2 (b 1-b)) of the newly added photosensitive sensor with the working state of 1 relative to the original picture, wherein c1 represents the length of the original picture, and c2 represents the width of the original picture;
calculating the corresponding deviation position of each photosensitive sensor when the values corresponding to all the elements in the first set are 1, and marking the corresponding deviation position of the photosensitive sensor corresponding to the element with the median value of 1 in the first set as (0, 0) when the projection picture is enlarged by the ratio b;
obtaining the comprehensive deviation position (d 1, d 2) of the projection picture relative to the original picture,
wherein, e21Indicating the 1 st value in the deviation position of the second photosensor with respect to the original picture,
e31a 1 st value in a deviation position of the third photo-sensor with respect to the original picture,
e41indicating the 1 st value in the deviation position of the fourth photosensor with respect to the original picture,
e51represents the 1 st value in the deviation position of the fifth photosensor with respect to the original picture,
wherein, e22A 2 nd value in a deviation position of the second photo-sensor with respect to the original picture,
e32represents the 2 nd value in the deviation position of the third photosensor with respect to the original picture,
e42a 2 nd value in a deviation position of the fourth photo-sensor with respect to the original picture,
e52a 2 nd value indicating a deviation position of the fifth photosensor with respect to the original screen;
s2.5, acquiring the deflection direction and the deflection angle of the projection lens corresponding to the (d 1, d 2) in the database, and adjusting the lens of the projector according to the acquired result, wherein the projection image corresponding to the adjusted lens is a first image;
the method for acquiring the first fuzzy value comprises the following steps:
s2-1, respectively carrying out gray scale processing on the first picture and the second picture,
s2-2, counting the number Q of pixel points with gray values in a first gray level and a second gray level in a first picture, wherein the first gray level is an interval with the gray value being more than or equal to r and less than or equal to 255, the second gray level is an interval with the gray value being more than or equal to 0 and less than or equal to 255-r, and r is an integer more than 127;
calculating the maximum absolute gray difference of the gray values corresponding to each pixel point and the adjacent pixel points in the Q pixel points counted in the first picture, recording the sum of the maximum absolute gray differences corresponding to the Q pixel points as the clear state value QX1 of the first picture,
the absolute gray difference represents an absolute value corresponding to a gray value difference value of two pixel points;
s2-3, calculating a clear state value QX2 of the second picture according to the method in the S2-2, and recording the number of pixel points of the gray value in the first gray level and the second gray level in the second picture as Q1;
s2-4, obtaining a first fuzzy value MH,
when QX2 is not equal to 0 and Q is not equal to Q1, it is determined that
When QX2=0 or Q = Q1, MH =0 is determined.
In the process of calibrating a projection picture corresponding to a projector in audio-visual equipment, the position of the projection picture is confirmed through photosensitive sensors corresponding to four corners of the upper left corner, the lower left corner, the upper right corner and the lower right corner on a projection screen respectively, and in the picture projection process, the central point of the picture is unchanged before calibration, so that the corresponding projection range of the projection picture can be expanded by controlling the amplification ratio of the projection picture, and further the projection picture area covers the photosensitive sensors; in the process of acquiring the first fuzzy value, setting a first gray level and a second gray level, wherein the larger the chromatic aberration between the default scenery and the background is, the clearer the image with the larger gray value contrast corresponding to the pixel point at the contact edge of the scenery and the background is, when the corresponding definition of the image with the same content of the first fuzzy value and the second fuzzy value is considered, the clearer the image with the larger gray value contrast corresponding to the pixel point at the contact edge of the scenery and the background is.
Further, the method for obtaining the hardware comprehensive deviation value of the audio-video equipment in S3 includes the following steps:
s3.1, obtaining the replacement times CS of the projection lamp in the projection lamp information in the audio-visual equipment and the service time of the projection lamp replaced each time, and obtaining the displacement distance WY of the liquid crystal in the liquid crystal information;
s3.2, acquiring the comprehensive deviation TY1 of the projection bulb,
when CS =0, TY1=0,
when CS is greater than or equal to 1, then
Wherein, SYj represents the service life of the j-th replaced projection bulb, and SYB represents the standard life value of the projection bulb prefabricated in the database;
s3.3, acquiring a comprehensive deviation value TY2 of the liquid crystal sheet,
acquiring a displacement distance reference value PL1 of a liquid crystal sheet when audio-visual equipment prefabricated in a database is scrapped, and acquiring a maximum displacement distance PL2 of the liquid crystal sheet in scrapped audio-visual equipment recorded in historical data, wherein WYB represents a minimum value min { PL1, PL2} in PL1 and PL 2;
s3.4, obtaining a hardware comprehensive deviation value ZP of the audio-visual equipment,
ZP＝TY1*β+TY2
where β represents a first coefficient pre-fabricated in the database.
The invention considers the two aspects of projection bulb information and liquid crystal sheet information in the video equipment, calculates the comprehensive deviation amount TY1 of the projection bulb, and considers the influence of projector hardware on the service life of the projection bulb, wherein the shorter the service life of the projection bulb is, the larger the performance deviation of the projector hardware is; the displacement distance of the liquid crystal sheet directly reflects the performance of the projector and directly influences the projection effect, and then the two are comprehensively considered, so that the hardware performance deviation condition of the audio-visual equipment can be reflected visually.
Further, the method for acquiring the functional relationship between the first fuzzy value of the audio-visual device in the historical data and the hardware comprehensive deviation value of the corresponding audio-visual device in S4 includes the following steps:
s4.1, obtaining an average value of all first fuzzy values corresponding to the hardware comprehensive deviation value ZP in the historical data, recording the average value as MHzp, and constructing a data pair (ZP, MHzp);
s4.2, taking o as an origin, taking the hardware comprehensive deviation value as an x axis, taking the first fuzzy value as a y axis, constructing a plane rectangular coordinate system, and marking coordinate points corresponding to each data pair in the S4.1 in the plane rectangular coordinate system;
s4.3, fitting the coordinate points marked in the rectangular plane coordinate system according to a first function model prefabricated in the database to obtain a plurality of fitting functions, wherein the first function model is
Wherein m1 is a first coefficient of the first function model, m2 is a second coefficient of the first function model, m3 is a third coefficient of the first function model, and m4 is a fourth coefficient of the first function model;
and S4.4, calculating the sum of the distances from each fitting function to each marked coordinate point in the S4.3, selecting the fitting function with the minimum sum of the distances, recording the fitting function as a functional relation between a first fuzzy value of the audio-visual equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio-visual equipment, and recording the fitting function as MHzp = G (ZP).
The functional relation between the first fuzzy value and the hardware comprehensive deviation value of the corresponding audio-visual equipment is obtained by analyzing the first fuzzy value of the audio-visual equipment and the hardware comprehensive deviation value of the corresponding audio-visual equipment in historical data, the reaction is a quantitative relation between the first fuzzy value of the audio-visual equipment and the hardware comprehensive deviation value of the corresponding audio-visual equipment, and the quantitative relation is not only suitable for one audio-visual equipment, but also acts on all the audio-visual equipment.
Further, the method for estimating the service life of the audio/video equipment to be tested in the step S5 includes the following steps:
s5.1, acquiring hardware comprehensive deviation values of the audio-visual equipment to be tested at different time in the historical data, recording the hardware comprehensive deviation values of the audio-visual equipment to be tested at the use time t as ZPT, and constructing a second type data pair (t, ZPT);
s5.2, with the o1 as an original point, the using time t of the audio-visual equipment to be tested as an x1 axis and the hardware comprehensive deviation value as a y1 axis, constructing a second plane rectangular coordinate system, and marking each coordinate point corresponding to each second type data pair in the S5.1 in the second plane rectangular coordinate system;
s5.3, fitting the coordinate points marked in the plane rectangular coordinate system according to a linear regression equation formula to obtain a functional relation between the hardware comprehensive deviation value of the audio-visual equipment in the historical data and the use time t, and marking as ZPT = G1 (t);
s5.4, predicting a first fuzzy value MH corresponding to the video equipment to be tested when the video equipment to be tested is in use for time t by combining MHzp = G (ZP)tSaid MHt＝G[G1(t)]；
S5.5, calculating MHtAnd when the value of the first fuzzy value is equal to a first preset value, recording the corresponding service time as t0 to obtain a service life predicted value t0 of the audio-video equipment to be tested, wherein the first preset value is obtained by database query, and the first preset value is an average value of maximum first fuzzy values respectively corresponding to the scrapped audio-video equipment recorded by the database.
In the process of estimating the service life of the audio-visual equipment to be tested, the analyzed object is the specific audio-visual equipment (the audio-visual equipment to be tested), and the difference of different audio-visual equipment in the using process and the difference of the hardware comprehensive deviation values corresponding to different time are considered, so that the corresponding first fuzzy values of the audio-visual equipment to be tested are different.
Further, the method for managing the audio and video device in S6 includes the following steps:
s6.1, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, obtaining the actual used time length of the audio-video equipment to be tested, and recording the time length as ty;
s6.2, obtaining the ratio of the service time of the projection bulb which is changed in the last time of the projection bulb information in the audio-visual equipment to the SYB, and recording as gb;
s6.3, when the ty is smaller than a second preset value, judging that the audio and video equipment is normal;
when ty is greater than or equal to the second preset value and gb is greater than the third preset value, it is determined that the liquid crystal display of the audio/video equipment is abnormal and needs to be maintained or scrapped,
when ty is greater than or equal to the second preset value and gb is less than the fourth preset value, it is determined that the projection bulb of the audio/video equipment is abnormal and needs to be replaced or scrapped,
when ty is larger than or equal to the second preset value, gb is larger than or equal to the fourth preset value, and gb is smaller than or equal to the third preset value, it is determined that the projection lamp of the audio-visual equipment is aged, the projection lamp of the audio-visual equipment is replaced,
and the second preset value, the third preset value and the fourth preset value are all constants preset in the database.
A video and audio equipment supervision system based on visual analysis comprises the following modules:
the information acquisition module acquires projection bulb information and liquid crystal sheet information in the video and audio equipment at intervals of unit time through a sensor, wherein the projection bulb information comprises the using condition of a projection bulb, the liquid crystal sheet information comprises the displacement distance of a liquid crystal sheet, and the unit time is a preset constant in a database;
the fuzzy value calculating module is used for calibrating a projection picture corresponding to a projector in the audio-visual equipment according to the position of the audio-visual equipment corresponding to the projection screen, acquiring the calibrated projection picture, recording the calibrated projection picture as a first picture, recording an original picture corresponding to the projection picture as a second picture, acquiring a relative fuzzy degree quantized value of the first picture relative to the second picture, and recording the quantized value as a first fuzzy value;
the deviation value calculation module analyzes projection lamp bulb information and liquid crystal piece information in the audio and video equipment to obtain a hardware comprehensive deviation value of the audio and video equipment;
the historical data analysis module is used for acquiring a functional relation between a first fuzzy value of the audio-video equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio-video equipment;
the service life prediction module acquires hardware comprehensive deviation values corresponding to the audio and video equipment to be tested at different times, predicts first fuzzy values corresponding to the audio and video equipment to be tested at different times based on the functional relation, and predicts the service life of the audio and video equipment according to the prediction result;
and the equipment management module acquires the estimated value t0 of the service life of the audio-video equipment to be tested and manages the audio-video equipment to be tested by combining the projection lamp information and the liquid crystal piece information of the corresponding audio-video equipment in the historical data.
Further, in the process of acquiring the first fuzzy value, the fuzzy value calculating module performs gray processing on the first picture and the second picture respectively, and counts the number Q of pixels with gray values in a first gray level and a second gray level in the first picture, wherein the first gray level is an interval with gray values greater than or equal to r and less than or equal to 255, the second gray level is an interval with gray values greater than or equal to 0 and less than or equal to 255-r, and r is an integer greater than 127; calculating the maximum absolute gray difference of gray values corresponding to each pixel point and adjacent pixel points in Q pixel points counted in the first picture, and marking the sum of the maximum absolute gray differences corresponding to the Q pixel points as a clear state value QX1 of the first picture, wherein the absolute gray difference represents the absolute value corresponding to the difference value of the gray values of the two pixel points; calculating a clear state value QX2 of the second picture, and recording the number of pixel points with gray values in the first gray level and the second gray level in the second picture as Q1; a first fuzzy value MH is obtained,
when QX2 is not equal to 0 and Q is not equal to Q1, it is determined that
When QX2=0 or Q = Q1, MH =0 is determined.
Further, in the process of managing the audio-video equipment by the equipment management module, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, and obtaining the actual used time length of the audio-video equipment to be tested, which is recorded as ty; acquiring the ratio of the service time of the projection bulb with the latest replaced projection bulb information in the video equipment to the SYB, and recording the ratio as gb;
when the ty is smaller than a second preset value, judging that the audio-video equipment is normal;
when ty is greater than or equal to the second preset value and gb is greater than the third preset value, it is determined that the liquid crystal display of the audio/video equipment is abnormal and needs to be maintained or scrapped,
when ty is larger than or equal to the second preset value and gb is smaller than the fourth preset value, it is determined that the projection bulb of the audio/video equipment is abnormal, the projection bulb needs to be replaced or scrapped,
and when ty is greater than or equal to a second preset value, gb is greater than or equal to a fourth preset value, and gb is less than or equal to a third preset value, determining that the projection bulb of the audio-visual device is aged, and replacing the projection bulb in the audio-visual device, wherein the second preset value, the third preset value, and the fourth preset value are constants preset in the database.
Compared with the prior art, the invention has the following beneficial effects: in the process of monitoring and managing the state of the audio-visual equipment, the relation between the hardware of the projector in the audio-visual equipment and the service life is analyzed, so that the service life of the projector is accurately predicted, the state of the projector is early warned in advance, and the effective management of the audio-visual equipment is realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a video and audio device monitoring system based on visual analysis according to the present invention;
fig. 2 is a schematic flow chart of a video and audio device supervision method based on visual analysis according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: a video and audio equipment supervision method based on visual analysis comprises the following steps:
s1, acquiring projection bulb information and liquid crystal piece information in video equipment once every unit time through a sensor, wherein the projection bulb information comprises the using condition of a projection bulb, the liquid crystal piece information comprises the displacement distance of a liquid crystal piece, and the unit time is a preset constant in a database;
s2, calibrating a projection picture corresponding to a projector in the audio-visual equipment according to the position of the audio-visual equipment corresponding to a projection screen, acquiring the calibrated projection picture, recording the calibrated projection picture as a first picture, recording an original picture corresponding to the projection picture as a second picture, acquiring a relative fuzzy degree quantization value of the first picture relative to the second picture, and recording the relative fuzzy degree quantization value as a first fuzzy value;
s3, analyzing projection bulb information and liquid crystal display information in the audio and video equipment to obtain a hardware comprehensive deviation value of the audio and video equipment;
s4, acquiring a functional relation between a first fuzzy value of the audio-visual equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio-visual equipment;
s5, acquiring hardware comprehensive deviation values corresponding to the audio and video equipment to be tested at different times, predicting first fuzzy values corresponding to the audio and video equipment to be tested at different times based on the functional relation, and predicting the service life of the audio and video equipment according to the prediction result;
and S6, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, and managing the audio-video equipment to be tested by combining projection bulb information and liquid crystal film information of the corresponding audio-video equipment in historical data.
The method for calibrating the projection picture corresponding to the projector in the audio and video equipment in the S2 comprises the following steps:
s2.1, respectively arranging a photosensitive sensor at four corners of the upper left corner, the lower left corner, the upper right corner and the lower right corner on the projection screen, and respectively recording the photosensitive sensors as a second photosensitive sensor, a third photosensitive sensor, a fourth photosensitive sensor and a fifth photosensitive sensor;
s2.2, acquiring the working states of the second, third, fourth and fifth photosensitive sensors in real time, and storing the working states of the second, third, fourth and fifth photosensitive sensors into a blank set one by one when the photosensitive sensors are used for t to obtain a first set corresponding to the used time t, wherein the working states of the photosensitive sensors comprise 1 corresponding to the working states and 0 corresponding to the non-working states, the working state 1 represents that a projection picture covers the position of the photosensitive sensors, and the working state 0 represents that the projection picture does not cover the position of the photosensitive sensors;
s2.3, judging the elements in the first set corresponding to the use time t,
when the values corresponding to all the elements in the first set are 0, judging that the projection direction of the projector is wrong, reminding a user to calibrate the projection direction,
when the value corresponding to each element in the first set has 1, the projector automatically calibrates the projection picture;
s2.4, in the process of automatically calibrating the projection picture by the projector, acquiring the number a of elements and the magnification ratio b of the projection picture, wherein the median of the first set is 1, keeping the direction of the projection picture unchanged, adjusting the magnification ratio of the picture under the condition of equal proportion, acquiring the magnification ratio b1 of the projection picture corresponding to the number a +1 of the elements, wherein the median of the first set is 1, and a newly added photosensitive sensor with the working state of 1, wherein b1 represents a critical value of the magnification ratio of the projection picture, namely the number a of the elements, wherein the median of the first set is 1, is less than b1, when the magnification ratio of the projection picture is less than b1, obtaining the minimum position deviation ratio b1-b corresponding to the newly added photosensitive sensor with the working state of 1, calculating the deviation position (c 1 (b 1-b) and c2 (b 1-b)) of the newly added photosensitive sensor with the working state of 1 relative to the original picture, wherein c1 represents the length of the original picture, and c2 represents the width of the original picture;
calculating the corresponding deviation position of each photosensitive sensor when the corresponding values of all the elements in the first set are 1, and marking the corresponding deviation position of the photosensitive sensor corresponding to the element with the median value of 1 in the first set as (0, 0) when the projection picture is enlarged by the proportion b;
obtaining the comprehensive deviation position (d 1, d 2) of the projection picture relative to the original picture,
wherein, e21Indicating the 1 st value in the deviation position of the second photosensor with respect to the original picture,
e31indicating the 1 st value in the deviation position of the third photosensor with respect to the original picture,
e41indicating the 1 st value in the deviation position of the fourth photosensor with respect to the original picture,
e51represents the 1 st value in the deviation position of the fifth photosensor with respect to the original picture,
wherein, e22A 2 nd value in a deviation position of the second photo-sensor with respect to the original picture,
e32represents the 2 nd value in the deviation position of the third photosensor with respect to the original picture,
e42represents the 2 nd value in the deviation position of the fourth photosensor with respect to the original picture,
e52a 2 nd value indicating a deviation position of the fifth photosensor with respect to the original screen;
s2.5, acquiring the deflection direction and the deflection angle of the projection lens corresponding to the (d 1, d 2) in the database, and adjusting the lens of the projector according to the acquired result, wherein the projection image corresponding to the adjusted lens is a first image;
in this embodiment, the magnification ratio corresponding to the adjusted projection screen is still b.
The method for obtaining the first fuzzy value comprises the following steps:
s2-1, respectively carrying out gray scale processing on the first picture and the second picture,
s2-2, counting the number Q of pixel points with gray values in a first gray level and a second gray level in a first picture, wherein the first gray level is an interval with the gray value being more than or equal to r and less than or equal to 255, the second gray level is an interval with the gray value being more than or equal to 0 and less than or equal to 255-r, and r is an integer more than 127;
in this embodiment, if r is 220, the first gray scale level is [220, 255], and the second gray scale level is [0, 35].
Calculating the maximum absolute gray difference of the gray values corresponding to each pixel point and the adjacent pixel points in the Q pixel points counted in the first picture, recording the sum of the maximum absolute gray differences corresponding to the Q pixel points as the clear state value QX1 of the first picture,
the absolute gray difference represents the corresponding absolute value of the gray value difference of two pixel points;
s2-3, calculating a clear state value QX2 of the second picture according to the method in the S2-2, and recording the number of pixels of the gray value in the first gray level and the second gray level in the second picture as Q1;
s2-4, obtaining a first fuzzy value MH,
when QX2 is not equal to 0 and Q is not equal to Q1, it is determined that
When QX2=0 or Q = Q1, MH =0 is determined.
In this embodiment, if the statistical Q value in the first frame is 100, the corresponding QX1 value is 3000,
if the value of Q1 counted in the second frame is 180 and the corresponding value of QX2 is 9000,
then MH = |9000-3000|/9000 | (9000-3000)/(100-180) | =50.
The method for obtaining the hardware comprehensive deviation value of the audio and video equipment in the S3 comprises the following steps:
s3.1, obtaining the replacement times CS of the projection bulb in the projection bulb information in the audio-visual equipment and the service time of the projection bulb replaced each time, and obtaining the displacement distance WY of the liquid crystal sheet in the liquid crystal sheet information;
s3.2, acquiring the comprehensive deviation TY1 of the projection bulb,
when CS =0, then TY1=0,
when CS is greater than or equal to 1, then
Wherein SYj represents the service time of the j replaced projection bulb, and SYB represents the standard service life value of the projection bulb prefabricated in the database;
s3.3, obtaining the comprehensive deviation value TY2 of the liquid crystal sheet,
the method comprises the steps of obtaining a displacement distance reference value PL1 of a liquid crystal piece when audio-visual equipment prefabricated in a database is scrapped, obtaining a maximum displacement distance PL2 of the liquid crystal piece in the scrapped audio-visual equipment recorded in historical data, wherein WYB represents a minimum value min { PL1, PL2} in PL1 and PL 2;
s3.4, obtaining a hardware comprehensive deviation value ZP of the audio-visual equipment,
ZP＝TY1*β+TY2
where β represents a first coefficient pre-fabricated in the database.
The method for acquiring the functional relationship between the first fuzzy value of the audio-visual equipment in the historical data and the hardware comprehensive deviation value of the corresponding audio-visual equipment in the S4 comprises the following steps:
s4.1, acquiring an average value of all first fuzzy values corresponding to the hardware comprehensive deviation value ZP in the historical data, recording the average value as MHzp, and constructing a data pair (ZP, MHzp);
s4.2, taking o as an original point, taking the hardware comprehensive deviation value as an x axis, taking the first fuzzy value as a y axis, constructing a plane rectangular coordinate system, and marking coordinate points corresponding to each data pair in the S4.1 in the plane rectangular coordinate system;
s4.3, fitting the coordinate points marked in the plane rectangular coordinate system according to a first function model prefabricated in the database to obtain a plurality of fitting functions, wherein the first function model is
Wherein m1 is a first coefficient of the first function model, m2 is a second coefficient of the first function model, m3 is a third coefficient of the first function model, and m4 is a fourth coefficient of the first function model;
and S4.4, calculating the sum of the distances from each fitting function to each marked coordinate point in the S4.3, selecting the fitting function with the minimum sum of the obtained distances, recording the fitting function as the functional relation between the first fuzzy value of the audio-visual equipment in the historical data and the hardware comprehensive deviation value of the corresponding audio-visual equipment, and recording the fitting function as MHzp = G (ZP).
The method for estimating the service life of the audio-visual equipment to be tested in the S5 comprises the following steps:
s5.1, acquiring hardware comprehensive deviation values of the audio-visual equipment to be tested at different time in the historical data, recording the hardware comprehensive deviation values of the audio-visual equipment to be tested at the use time t as ZPT, and constructing a second type data pair (t, ZPT);
s5.2, with the o1 as an original point, the use time t of the audio and video equipment to be tested as an x1 axis and the hardware comprehensive deviation value as a y1 axis, constructing a second plane rectangular coordinate system, and marking coordinate points corresponding to each second type of data in the S5.1 in the second plane rectangular coordinate system;
s5.3, fitting the coordinate points marked in the plane rectangular coordinate system according to a linear regression equation formula to obtain a functional relation between the hardware comprehensive deviation value of the audio-visual equipment in the historical data and the use time t, and marking as ZPT = G1 (t);
s5.4, predicting a first fuzzy value MH corresponding to the video equipment to be tested when the video equipment to be tested is in use for time t by combining MHzp = G (ZP)tSaid MHt＝G[G1(t)]；
S5.5, calculating MHtAnd when the value of the first fuzzy value is equal to a first preset value, recording the corresponding service time as t0 to obtain a service life predicted value t0 of the audio-video equipment to be tested, wherein the first preset value is obtained by database query, and the first preset value is an average value of maximum first fuzzy values respectively corresponding to the scrapped audio-video equipment recorded by the database.
The method for managing the audio and video equipment in the S6 comprises the following steps:
s6.1, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, obtaining the actual used time length of the audio-video equipment to be tested, and recording the time length as ty;
s6.2, obtaining the ratio of the service time of the projection bulb which is replaced by the projection bulb information in the video equipment for the last time to the SYB, and recording as gb;
s6.3, when the ty is smaller than a second preset value, judging that the audio-video equipment is normal;
when ty is greater than or equal to the second preset value and gb is greater than the third preset value, it is determined that the liquid crystal display of the audio/video equipment is abnormal and needs to be maintained or scrapped,
when ty is larger than or equal to the second preset value and gb is smaller than the fourth preset value, it is determined that the projection bulb of the audio/video equipment is abnormal, the projection bulb needs to be replaced or scrapped,
when ty is larger than or equal to the second preset value, gb is larger than or equal to the fourth preset value, and gb is smaller than or equal to the third preset value, it is determined that the projection lamp of the audio-visual equipment is aged, the projection lamp of the audio-visual equipment is replaced,
and the second preset value, the third preset value and the fourth preset value are all constants preset in the database.
A visual analysis-based audio and video equipment supervision system, the system comprising the following modules:
the information acquisition module acquires projection bulb information and liquid crystal sheet information in the video and audio equipment at intervals of unit time through a sensor, wherein the projection bulb information comprises the using condition of a projection bulb, the liquid crystal sheet information comprises the displacement distance of a liquid crystal sheet, and the unit time is a preset constant in a database;
the fuzzy value calculating module is used for calibrating a projection picture corresponding to a projector in the audio-visual equipment according to the position of the audio-visual equipment corresponding to the projection screen, acquiring the calibrated projection picture, recording the calibrated projection picture as a first picture, recording an original picture corresponding to the projection picture as a second picture, acquiring a relative fuzzy degree quantized value of the first picture relative to the second picture, and recording the quantized value as a first fuzzy value;
the deviation value calculation module analyzes projection bulb information and liquid crystal piece information in the audio and video equipment to obtain a hardware comprehensive deviation value of the audio and video equipment;
the historical data analysis module is used for acquiring a functional relation between a first fuzzy value of the audio-video equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio-video equipment;
the service life prediction module acquires hardware comprehensive deviation values corresponding to the audio and video equipment to be tested at different times, predicts first fuzzy values corresponding to the audio and video equipment to be tested at different times based on the functional relation, and predicts the service life of the audio and video equipment according to the prediction result;
and the equipment management module acquires the estimated value t0 of the service life of the audio-video equipment to be tested and manages the audio-video equipment to be tested by combining the projection lamp information and the liquid crystal piece information of the corresponding audio-video equipment in the historical data.
In the process of acquiring a first fuzzy value, the fuzzy value calculating module respectively carries out gray processing on a first picture and a second picture, and counts the number Q of pixel points of gray values in a first gray level and a second gray level in the first picture, wherein the first gray level is an interval of which the gray value is more than or equal to r and less than or equal to 255, the second gray level is an interval of which the gray value is more than or equal to 0 and less than or equal to 255-r, and r is an integer more than 127; calculating the maximum absolute gray difference of gray values corresponding to each pixel point and adjacent pixel points in Q pixel points counted in the first picture, and marking the sum of the maximum absolute gray differences corresponding to the Q pixel points as a clear state value QX1 of the first picture, wherein the absolute gray difference represents the absolute value corresponding to the difference value of the gray values of the two pixel points; calculating a clear state value QX2 of the second picture, and recording the number of pixel points with the gray values in the first gray level and the second gray level in the second picture as Q1; a first fuzzy value MH is obtained and,
when QX2 is not equal to 0 and Q is not equal to Q1, it is determined that
When QX2=0 or Q = Q1, MH =0 is determined.
In the process of managing the audio-video equipment by the equipment management module, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, and obtaining the actual used time length of the audio-video equipment to be tested, and recording the time length as ty; acquiring the ratio of the service time of the projection bulb which is changed for the last time by the projection bulb information in the video equipment to the SYB, and recording as gb;
when the ty is smaller than a second preset value, judging that the audio-video equipment is normal;
when ty is greater than or equal to the second preset value and gb is greater than the third preset value, it is determined that the liquid crystal of the video equipment is abnormal and needs to be maintained or scrapped,
when ty is larger than or equal to the second preset value and gb is smaller than the fourth preset value, it is determined that the projection bulb of the audio/video equipment is abnormal, the projection bulb needs to be replaced or scrapped,
and when ty is greater than or equal to a second preset value, gb is greater than or equal to a fourth preset value, and gb is less than or equal to a third preset value, determining that the projection bulb of the audio-visual device is aged, and replacing the projection bulb in the audio-visual device, wherein the second preset value, the third preset value, and the fourth preset value are constants preset in the database.
It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A video and audio equipment supervision method based on visual analysis is characterized by comprising the following steps:
s1, acquiring projection bulb information and liquid crystal piece information in video equipment once every unit time through a sensor, wherein the projection bulb information comprises the using condition of a projection bulb, the liquid crystal piece information comprises the displacement distance of a liquid crystal piece, and the unit time is a preset constant in a database;
s2, calibrating a projection picture corresponding to a projector in the audio-visual equipment according to the position of the audio-visual equipment corresponding to a projection screen, acquiring the calibrated projection picture, recording the calibrated projection picture as a first picture, recording an original picture corresponding to the projection picture as a second picture, acquiring a relative fuzzy degree quantization value of the first picture relative to the second picture, and recording the relative fuzzy degree quantization value as a first fuzzy value;
s3, analyzing projection bulb information and liquid crystal display information in the audio and video equipment to obtain a hardware comprehensive deviation value of the audio and video equipment;
s4, acquiring a functional relation between a first fuzzy value of the audio and video equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio and video equipment;
s5, acquiring hardware comprehensive deviation values corresponding to the audio and video equipment to be tested at different times, predicting first fuzzy values corresponding to the audio and video equipment to be tested at different times based on the functional relation, and predicting the service life of the audio and video equipment according to the obtained prediction result;
and S6, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, and managing the audio-video equipment to be tested by combining projection bulb information and liquid crystal film information of the corresponding audio-video equipment in historical data.
2. The video and audio equipment supervision method based on visual analysis according to claim 1, characterized in that: the method for calibrating the projection picture corresponding to the projector in the audio-visual equipment in the S2 comprises the following steps:
s2.1, respectively arranging a photosensitive sensor at four corners of the upper left corner, the lower left corner, the upper right corner and the lower right corner on the projection screen, and respectively recording the photosensitive sensors as a second photosensitive sensor, a third photosensitive sensor, a fourth photosensitive sensor and a fifth photosensitive sensor;
s2.2, acquiring the working states of the second, third, fourth and fifth photosensitive sensors in real time, and storing the working states of the second, third, fourth and fifth photosensitive sensors into a blank set one by one when the photosensitive sensors are used for t to obtain a first set corresponding to the used time t, wherein the working states of the photosensitive sensors comprise 1 corresponding to the working states and 0 corresponding to the non-working states, the working state 1 represents that a projection picture covers the position of the photosensitive sensors, and the working state 0 represents that the projection picture does not cover the position of the photosensitive sensors;
s2.3, judging the elements in the first set corresponding to the use time t,
when the values corresponding to all the elements in the first set are 0, judging that the projection direction of the projector is wrong, reminding a user to calibrate the projection direction,
when the value corresponding to each element in the first set has 1, the projector automatically calibrates the projection picture;
s2.4, in the process of automatically calibrating the projection picture by the projector, acquiring the number a of elements with a median value of 1 and a projection picture magnification ratio b, keeping the direction of the projection picture unchanged, adjusting the magnification ratio of the picture under the condition of equal proportion, acquiring the projection picture magnification ratio b1 corresponding to the element with the median value of 1 in the first set when the number is a +1 and a newly-added photosensitive sensor with a working state of 1, wherein b1 represents a critical value of the projection picture magnification ratio, acquiring a minimum position deviation ratio b1-b corresponding to the newly-added photosensitive sensor with the working state of 1, and calculating deviation positions (c 1 (b 1-b) and c2 (b 1-b)) of the newly-added photosensitive sensor with the working state of 1 in the projection picture relative to the original picture, wherein c1 represents the length of the original picture, and c2 represents the width of the original picture;
calculating the corresponding deviation position of each photosensitive sensor when the values corresponding to all the elements in the first set are 1, and marking the corresponding deviation position of the photosensitive sensor corresponding to the element with the median value of 1 in the first set as (0, 0) when the projection picture is enlarged by the ratio b;
obtaining the comprehensive deviation position (d 1, d 2) of the projection picture relative to the original picture,
wherein, e21A 1 st value in a deviation position of the second photo-sensor with respect to the original picture,
e31indicating the 1 st value in the deviation position of the third photosensor with respect to the original picture，
e41A 1 st value in a deviation position of the fourth photo-sensor with respect to the original picture,
e51a 1 st value in a deviation position of the fifth photosensor with respect to the original picture,
wherein, e22A 2 nd value in a deviation position of the second photo-sensor with respect to the original picture,
e32represents the 2 nd value in the deviation position of the third photosensor with respect to the original picture,
e42a 2 nd value in a deviation position of the fourth photo-sensor with respect to the original picture,
e52a 2 nd value indicating a deviation position of the fifth photosensor with respect to the original screen;
s2.5, acquiring the deflection direction and the deflection angle of the projection lens corresponding to the (d 1, d 2) in the database, and adjusting the lens of the projector according to the acquired result, wherein the projection image corresponding to the adjusted lens is a first image;
the method for obtaining the first fuzzy value comprises the following steps:
s2-1, respectively carrying out gray scale processing on the first picture and the second picture,
s2-2, counting the number Q of pixel points with gray values in a first gray level and a second gray level in a first picture, wherein the first gray level is an interval with the gray value being more than or equal to r and less than or equal to 255, the second gray level is an interval with the gray value being more than or equal to 0 and less than or equal to 255-r, and r is an integer more than 127;
calculating the maximum absolute gray difference of the gray values corresponding to each pixel point and the adjacent pixel points in the Q pixel points counted in the first picture, recording the sum of the maximum absolute gray differences corresponding to the Q pixel points as the clear state value QX1 of the first picture,
the absolute gray difference represents an absolute value corresponding to a gray value difference value of two pixel points;
s2-3, calculating a clear state value QX2 of the second picture according to the method in the S2-2, and recording the number of pixels of the gray value in the first gray level and the second gray level in the second picture as Q1;
s2-4, obtaining a first fuzzy value MH,
when QX2 is not equal to 0 and Q is not equal to Q1, the determination is made
When QX2=0 or Q = Q1, MH =0 is determined.
3. The video audio equipment supervision method based on visual analysis according to claim 2, wherein: the method for obtaining the hardware comprehensive deviation value of the audio and video equipment in the S3 comprises the following steps:
s3.1, obtaining the replacement times CS of the projection bulb in the projection bulb information in the audio-visual equipment and the service time of the projection bulb replaced each time, and obtaining the displacement distance WY of the liquid crystal sheet in the liquid crystal sheet information;
s3.2, acquiring a comprehensive deviation amount TY1 of the projection lamp bulb,
when CS =0, then TY1=0,
when CS is greater than or equal to 1, then
Wherein SYj represents the service time of the j replaced projection bulb, and SYB represents the standard service life value of the projection bulb prefabricated in the database;
s3.3, obtaining the comprehensive deviation value TY2 of the liquid crystal sheet,
acquiring a displacement distance reference value PL1 of a liquid crystal sheet when audio-visual equipment prefabricated in a database is scrapped, and acquiring a maximum displacement distance PL2 of the liquid crystal sheet in scrapped audio-visual equipment recorded in historical data, wherein WYB represents a minimum value min { PL1, PL2} in PL1 and PL 2;
s3.4, obtaining a hardware comprehensive deviation value ZP of the audio-visual equipment,
ZP＝TY1*β+TY2
where β represents a first coefficient pre-fabricated in the database.
4. The video and audio equipment supervision method based on visual analysis according to claim 3, characterized in that: the method for acquiring the functional relationship between the first fuzzy value of the audio and video equipment in the historical data and the hardware comprehensive deviation value of the corresponding audio and video equipment in the S4 comprises the following steps:
s4.1, obtaining an average value of all first fuzzy values corresponding to the hardware comprehensive deviation value ZP in the historical data, recording the average value as MHzp, and constructing a data pair (ZP, MHzp);
s4.2, taking o as an origin, taking the hardware comprehensive deviation value as an x axis, taking the first fuzzy value as a y axis, constructing a plane rectangular coordinate system, and marking coordinate points corresponding to each data pair in the S4.1 in the plane rectangular coordinate system;
s4.3, fitting the coordinate points marked in the rectangular plane coordinate system according to a first function model prefabricated in the database to obtain a plurality of fitting functions, wherein the first function model is
Wherein m1 is a first coefficient of the first function model, m2 is a second coefficient of the first function model, m3 is a third coefficient of the first function model, and m4 is a fourth coefficient of the first function model;
and S4.4, calculating the sum of the distances from each fitting function to each marked coordinate point in the S4.3, selecting the fitting function with the minimum sum of the distances, recording the fitting function as a functional relation between a first fuzzy value of the audio-visual equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio-visual equipment, and recording the fitting function as MHzp = G (ZP).
5. The video and audio equipment supervision method based on visual analysis according to claim 4, characterized in that: the method for estimating the service life of the audio and video equipment to be tested in the S5 comprises the following steps:
s5.1, acquiring hardware comprehensive deviation values of the audio-visual equipment to be tested at different time in the historical data, recording the hardware comprehensive deviation values of the audio-visual equipment to be tested at the use time t as ZPT, and constructing a second type data pair (t, ZPT);
s5.2, with the o1 as an original point, the using time t of the audio-visual equipment to be tested as an x1 axis and the hardware comprehensive deviation value as a y1 axis, constructing a second plane rectangular coordinate system, and marking each coordinate point corresponding to each second type data pair in the S5.1 in the second plane rectangular coordinate system;
s5.3, fitting the coordinate points marked in the plane rectangular coordinate system according to a linear regression equation formula to obtain a functional relation between the hardware comprehensive deviation value of the audio-visual equipment in the historical data and the use time t, and marking as ZPT = G1 (t);
s5.4, predicting a first fuzzy value MH corresponding to the audio-visual equipment to be tested at the use time t by combining MHzp = G (ZP)t，
The MHt＝G[G1(t)]；
S5.5, calculating MHtAnd recording the corresponding service time as t0 when the value of (2) is equal to a first preset value, and obtaining the service life estimated value t0 of the audio-video equipment to be tested, wherein the first preset value is obtained by database query, and the first preset value is the average value of the maximum first fuzzy values respectively corresponding to the scrapped audio-video equipment recorded by the database.
6. The video and audio equipment supervision method based on visual analysis according to claim 1, characterized in that: the method for managing the audio and video equipment in the S6 comprises the following steps:
s6.1, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, obtaining the actual used time length of the audio-video equipment to be tested, and recording the time length as ty;
s6.2, obtaining the ratio of the service time of the projection bulb which is replaced by the projection bulb information in the audio-visual equipment for the last time to the SYB, and marking as gb, wherein the SYB represents the standard service life value of the projection bulb prefabricated in the database;
s6.3, when the ty is smaller than a second preset value, judging that the audio and video equipment is normal;
when ty is greater than or equal to the second preset value and gb is greater than the third preset value, it is determined that the liquid crystal of the video equipment is abnormal and needs to be maintained or scrapped,
when ty is larger than or equal to the second preset value and gb is smaller than the fourth preset value, it is determined that the projection bulb of the audio/video equipment is abnormal, the projection bulb needs to be replaced or scrapped,
when ty is larger than or equal to the second preset value, gb is larger than or equal to the fourth preset value, and gb is smaller than or equal to the third preset value, it is determined that the projection lamp of the audio-visual equipment is aged, the projection lamp of the audio-visual equipment is replaced,
and the second preset value, the third preset value and the fourth preset value are all constants preset in the database.
7. A video and audio equipment supervision system based on visual analysis is characterized by comprising the following modules:
the information acquisition module acquires projection bulb information and liquid crystal piece information in the video equipment once every unit time through a sensor, wherein the projection bulb information comprises the using condition of a projection bulb, the liquid crystal piece information comprises the displacement distance of a liquid crystal piece, and the unit time is a preset constant in a database;
the fuzzy value calculating module is used for calibrating a projection picture corresponding to a projector in the audio-visual equipment according to the position of the audio-visual equipment corresponding to the projection screen, acquiring the calibrated projection picture, recording the calibrated projection picture as a first picture, recording an original picture corresponding to the projection picture as a second picture, acquiring a relative fuzzy degree quantized value of the first picture relative to the second picture, and recording the quantized value as a first fuzzy value;
the deviation value calculation module analyzes projection bulb information and liquid crystal piece information in the audio and video equipment to obtain a hardware comprehensive deviation value of the audio and video equipment;
the historical data analysis module is used for acquiring a functional relation between a first fuzzy value of the audio-video equipment in the historical data and a hardware comprehensive deviation value of the corresponding audio-video equipment;
the service life prediction module acquires hardware comprehensive deviation values corresponding to the audio and video equipment to be tested at different times, predicts first fuzzy values corresponding to the audio and video equipment to be tested at different times based on the functional relation, and predicts the service life of the audio and video equipment according to the prediction result;
and the equipment management module acquires the estimated value t0 of the service life of the audio-video equipment to be tested, and manages the audio-video equipment to be tested by combining the projection bulb information and the liquid crystal piece information of the corresponding audio-video equipment in the historical data.
8. The video and audio equipment supervision system based on visual analysis according to claim 7, characterized in that: in the process of acquiring a first fuzzy value, the fuzzy value calculation module respectively carries out gray processing on a first picture and a second picture, and counts the number Q of pixel points with gray values in a first gray level and a second gray level in the first picture, wherein the first gray level is an interval with a gray value greater than or equal to r and less than or equal to 255, the second gray level is an interval with a gray value greater than or equal to 0 and less than or equal to 255-r, and r is an integer greater than 127; calculating the maximum absolute gray difference of gray values corresponding to each pixel point and adjacent pixel points in Q pixel points counted in the first picture, and marking the sum of the maximum absolute gray differences corresponding to the Q pixel points as a clear state value QX1 of the first picture, wherein the absolute gray difference represents the absolute value corresponding to the difference value of the gray values of the two pixel points; calculating a clear state value QX2 of the second picture, and recording the number of pixel points with gray values in the first gray level and the second gray level in the second picture as Q1; a first fuzzy value MH is obtained,
when QX2 is not equal to 0 and Q is not equal to Q1, it is determined that
When QX2=0 or Q = Q1, MH =0 is determined.
9. The video audio equipment surveillance system based on visual analysis according to claim 7, wherein: in the process of managing the audio-video equipment by the equipment management module, obtaining a predicted value t0 of the service life of the audio-video equipment to be tested, and obtaining the actual used time length of the audio-video equipment to be tested, which is recorded as ty; acquiring the ratio of the service time of a projection bulb of which the projection bulb information in the video equipment is changed for the last time to the SYB, and recording as gb, wherein the SYB represents the standard service life value of the projection bulb prefabricated in the database;
when the ty is smaller than a second preset value, judging that the audio-video equipment is normal;
when ty is greater than or equal to the second preset value and gb is greater than the third preset value, it is determined that the liquid crystal display of the audio/video equipment is abnormal and needs to be maintained or scrapped,
when ty is greater than or equal to the second preset value and gb is less than the fourth preset value, it is determined that the projection bulb of the audio/video equipment is abnormal and needs to be replaced or scrapped,
and when the ty is greater than or equal to a second preset value, the gb is greater than or equal to a fourth preset value, and the gb is less than or equal to a third preset value, judging that the projection bulb of the audio-video equipment is aged, and replacing the projection bulb in the audio-video equipment, wherein the second preset value, the third preset value and the fourth preset value are constants preset in the database.
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