CN117727829A - Preparation method and system of photoelectric curtain wall - Google Patents

Preparation method and system of photoelectric curtain wall Download PDF

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Publication number
CN117727829A
CN117727829A CN202311428328.9A CN202311428328A CN117727829A CN 117727829 A CN117727829 A CN 117727829A CN 202311428328 A CN202311428328 A CN 202311428328A CN 117727829 A CN117727829 A CN 117727829A
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actual
similarity
standard
value
echo signal
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路伟伟
左伦源
周伟光
韩冰
李琪
许厚材
储著京
田冬立
贺高生
刘少伟
刘柯彤
苏林星
曹伟赞
黄江涛
王真
田志伟
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Beijing Urban Construction Group Co Ltd
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Beijing Urban Construction Group Co Ltd
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Priority to CN202311428328.9A priority Critical patent/CN117727829A/en
Publication of CN117727829A publication Critical patent/CN117727829A/en
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Abstract

The invention relates to the technical field of new energy, in particular to a preparation method and a system of a photoelectric curtain wall, wherein the method comprises the following steps: receiving a test echo signal, acquiring the actual time length of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual time length with a preset standard time length, and if the actual time length is longer than the standard time length, segmenting the actual time length to obtain a plurality of test echo signal segments; judging whether quality qualified information is sent or not according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function, acquiring a Bluetooth address of a target test echo signal to be detected by utilizing the quality qualified information, and determining transmitted feedback information according to the size relation; and establishing connection according to the quality qualified information, and receiving the feedback information after establishing connection. The invention improves the accuracy deficiency of echo identification.

Description

Preparation method and system of photoelectric curtain wall
Technical Field
The invention relates to the technical field of new energy, in particular to a preparation method and a preparation system of a photoelectric curtain wall.
Background
The photoelectric curtain wall is a solar photoelectric curtain wall which is stuck on glass, is inlaid between two pieces of glass and can convert light energy into electric energy through a battery. The solar energy photovoltaic cell is a photovoltaic cell technology and a photovoltaic panel technology, and the key technology is a solar photovoltaic cell technology. Solar cells are devices that use the photon energy of sunlight to move electrons of an irradiated electrolyte or semiconductor material, thereby generating a voltage, which is called a photovoltaic effect.
Patent document publication No. CN113062504a discloses a solar photoelectric curtain wall and a method for manufacturing the same, the method comprising: step one: weighing starch, deionized water, nano silicon powder, nano lanthanum oxide, magnetic polystyrene nanospheres, silica sol and epoxy resin according to the weight percentages; step two: mixing the nano silicon powder in the first step with one fifth of starch, deionized water and epoxy resin, and then carrying out ultrasonic vibration dispersion treatment for 20-30 min to obtain a composite base material A; step three: mixing the nano lanthanum oxide in the first step with one fifth of starch, deionized water and epoxy resin, and then carrying out ultrasonic vibration dispersion treatment for 20-30 min to obtain a composite base material B; step four: mixing the magnetic polystyrene nanospheres in the first step with one fifth of starch, deionized water and epoxy resin, and then carrying out ultrasonic vibration dispersion treatment for 20-30 min to obtain a composite base material C; step five: mixing the silica sol in the first step with one fifth of starch, deionized water and epoxy resin, and then carrying out ultrasonic vibration dispersion treatment for 20-30 min to obtain a composite base material D; step six: mechanically mixing the composite base material A prepared in the second step, the composite base material B prepared in the third step, the composite base material C prepared in the fourth step and the composite base material D prepared in the fifth step, and performing ultrasonic vibration dispersion treatment for 50-60 min to obtain a composite base material E; step seven: mechanically mixing the starch, deionized water and epoxy resin which are remained in the first step with the composite base material E, and carrying out ultrasonic vibration dispersion treatment for 40-50 min to obtain a film base material; step eight: dividing the film base material prepared in the step seven into two parts equally to obtain a film base material a and a film base material b, and preparing the film base material a into a film by using a tape casting method; step nine: and (3) spraying the film base material b in the step (eight) on the outer walls of the inner glass plate and the outer glass plate by adopting a vacuum plasma spraying technology, finishing a first-layer vacuum film coating treatment on the outer walls of the inner glass plate and the outer glass plate, and after the first-layer vacuum film coating treatment is finished, vacuum-pasting the film prepared in the step (eight) on the outer walls of the inner glass plate and the outer glass plate, finishing a second-layer vacuum film coating treatment on the outer walls of the inner glass plate and the outer glass plate to obtain the inner glass plate and the inner glass plate subjected to vacuum film coating treatment, then installing a solar module in a hollow cavity, and finally sequentially installing the inner glass plate and the outer glass plate on the outer side of a solar module to obtain the solar photoelectric curtain wall.
However, in the prior art, the film is not detected in the processing process of the light curtain wall in the process of preparing the light curtain wall, so that the processing precision is reduced, the bad film is applied to the processing process of the solar photoelectric curtain wall, and the processing yield of the photoelectric curtain wall is low.
Disclosure of Invention
Therefore, the invention provides a preparation method and a preparation system of a photoelectric curtain wall, which can solve the technical problem of low preparation yield of the photoelectric curtain wall due to lack of detection on the middle process of processing the photoelectric curtain wall in the prior art.
In order to achieve the above object, the present invention provides a method for preparing a photoelectric curtain wall, comprising:
receiving a test echo signal in the preparation process of the photoelectric curtain wall, acquiring the actual time length of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual time length with a preset standard time length, and if the actual time length is longer than the standard time length, segmenting the actual time length to obtain a plurality of test echo signal segments;
judging whether quality qualified information is sent or not according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function, acquiring a Bluetooth address of a target test echo signal device to be detected by utilizing the quality qualified information, determining a target transmission address if the Bluetooth address belongs to a pre-stored Bluetooth address, judging the magnitude relation between the actual number and the pre-stored Bluetooth address number, and determining transmitted feedback information according to the magnitude relation;
establishing connection according to the quality qualified information, and receiving the feedback information after establishing connection;
the step of judging whether to send quality qualified information according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function comprises the following steps:
for any test echo signal segment, framing the test echo signal segment to obtain a plurality of frames to be detected, and extracting cepstrum domain characteristic parameters of each frame to be detected according to a cross-correlation function;
calculating an actual similarity value of a frame to be detected and a preset standard frame based on the cepstrum domain characteristic parameter, and judging the actual similarity value and the preset standard similarity value to obtain a judging result;
counting the actual duty ratio of the frame to be detected, which accords with the judging result, and determining whether to calculate the actual similarity average value of the frame to be detected according to the actual duty ratio and the preset standard duty ratio;
and determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value.
Further, when calculating the actual similarity value between the frame to be detected and the preset standard frame based on the cepstrum domain characteristic parameter, calculating according to a formula (1):
E=λ1×R1+λ2×R2;
wherein λ1 represents a first weight coefficient, λ2 represents a second weight coefficient, R1 represents a mel-frequency cepstrum coefficient sequence similarity value, R2 represents a linear prediction cepstrum coefficient sequence similarity value, and E represents an actual similarity value, wherein 0< λ1< λ 2<1, λ1+λ2=1.
Further, determining whether to calculate an actual similarity average value of the to-be-detected sub-frame according to the actual duty ratio and a preset standard duty ratio includes:
if the actual duty ratio of the frame to be detected, which accords with the first judging result, is larger than or equal to the standard duty ratio, the average value of the actual similarity of the frame to be detected in any test echo signal section is not calculated;
if the actual duty ratio of the frame to be detected, which accords with the first judging result, is smaller than the standard duty ratio, or if the actual duty ratio of the frame to be detected, which accords with the second judging result, is larger than or equal to the standard duty ratio, calculating the average value of the actual similarity of the frame to be detected in any test echo signal section;
the first determination result is that the actual similarity value is greater than or equal to a standard similarity value, and the second determination result is that the actual similarity value is smaller than the standard similarity value.
Further, determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value comprises the following steps:
if the actual similarity average value is smaller than the standard similarity average value, comparing the actual similarity average value with a preset standard similarity average value to obtain a comparison result, and adjusting the standard similarity value according to the comparison result;
and if the actual similarity average value is greater than or equal to the preset standard similarity average value, sending quality qualified information to the Bluetooth transmission terminal.
Further, comparing the actual similarity average value with a preset standard similarity average value to obtain a comparison result, and adjusting the standard similarity value according to the comparison result comprises:
setting a first standard similarity difference value and a second standard similarity difference value,
and if the actual similarity average value is smaller than the standard similarity average value, reversely adjusting the standard similarity value according to a first adjusting parameter, a second adjusting parameter or a third adjusting parameter determined according to the relationship between the actual similarity difference value and a preset first standard similarity difference value and a second standard similarity difference value.
Further, if the actual similarity difference is smaller than the first standard similarity value, selecting a first adjustment parameter to adjust the standard similarity value to the first standard similarity value;
if the actual similarity difference value is larger than or equal to the first standard similarity value and smaller than the second standard similarity value, selecting a second adjusting parameter to adjust the standard similarity value to the second standard similarity value;
and if the actual similarity difference value is greater than or equal to the second standard similarity value, selecting a third adjusting parameter to adjust the standard similarity value to a third standard similarity value.
Further, if the standard similarity average value of the similarity is greater than or equal to the standard similarity average value, when quality qualified information is sent to the bluetooth transmission terminal, the quality qualified information is sent to the bluetooth transmission terminal in a coverage area of the bluetooth transmission terminal to establish bluetooth connection, the bluetooth transmission terminal obtains a bluetooth address of a device for receiving a target test echo signal to be detected, the bluetooth address of the test echo signal is a bluetooth address of a slave device, the slave device is used for receiving the test echo signal, the bluetooth transmission terminal is used for feeding back information, and the bluetooth address is pre-stored in a connection list of the master device.
Further, determining a size relation between the actual number and a standard number of preset standard transmission addresses, and determining the transmitted feedback information according to the size relation includes:
if the actual number is greater than or equal to the standard number of the preset standard transmission addresses, determining to transmit first feedback information;
if the actual number is smaller than the standard number of the preset standard transmission addresses, determining to transmit second feedback information;
the first feedback content is file information which cannot be transmitted due to the fact that the transmission address is missing in a large quantity; and the second feedback content is that the Bluetooth transmission terminal does not leave the coverage area of the Bluetooth transmission terminal, and the file transmission is started after one minute.
Further, when the feedback information is transmitted, the bluetooth transmission terminal is provided with a transmission period, and if file transmission is not completed in the transmission period, detection and confirmation of the test echo signal are required to be performed again.
On the other hand, the embodiment of the invention also provides an information feedback system based on user echo identification, which comprises:
the echo receiving module is used for receiving a test echo signal in the preparation process of the photoelectric curtain wall, acquiring the actual duration of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual duration with a preset standard duration, and if the actual duration is longer than the standard duration, segmenting the actual duration to obtain a plurality of test echo signal segments;
the echo judging module is connected with the echo receiving module and is used for judging whether quality qualified information is sent according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function, so as to acquire the Bluetooth address of the target test echo signal to be detected by utilizing the quality qualified information, if the Bluetooth address belongs to a pre-stored Bluetooth address, the Bluetooth address is determined to be a target transmission address, the size relation between the actual number and the pre-stored Bluetooth address number is judged, and the transmitted feedback information is determined according to the size relation;
the information receiving module is connected with the echo judgment module, and is used for establishing connection according to the quality qualified information and receiving the feedback information after establishing connection;
the echo judging module comprises a segmentation unit, a judging unit, a calculating unit and a determining unit,
the segmentation unit is used for carrying out framing processing on any test echo signal segment to obtain a plurality of frames to be detected, and extracting cepstrum domain characteristic parameters of each frame to be detected according to a cross-correlation function;
the judging unit is connected with the segmentation unit and is used for calculating the actual similarity value of the frame to be detected and the preset standard frame based on the cepstrum domain characteristic parameter, and judging the actual similarity value and the preset standard similarity value to obtain a judging result;
the calculating unit is connected with the judging unit and is used for counting the actual duty ratio of the frame to be detected, which accords with the judging result, and determining whether to calculate the actual similarity average value of the frame to be detected according to the actual duty ratio and the preset standard duty ratio;
the determining unit is connected with the calculating unit and used for determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value.
Compared with the prior art, the method has the beneficial effects that the method realizes the segmentation of the test echo signals by comparing the actual time length of the test echo signals with the preset standard time length, so as to obtain a plurality of test echo signal segments, reduce the calculated carrying and improve the processing efficiency; the method comprises the steps of processing a frame to be detected to obtain a plurality of frames to be detected, calculating actual similarity values of the frames to be detected and preset standard frames by extracting cepstrum domain characteristic parameters of the frames to be detected, judging the actual similarity values and the preset standard similarity values to obtain judging results, obtaining and actually judging a similarity average value, determining an executing mode according to the relation between the actual similarity average value and the preset standard similarity average value to judge whether quality qualified information is transmitted or not, and judging that the quality qualified information is transmitted by a host computer of the echo signal to be detected, so that a transmitted target is more accurate; according to the method, the Bluetooth address of the target test echo signal to be detected is obtained according to the quality qualified information, the target transmission address is determined according to the relation between the Bluetooth address and the preset Bluetooth address, the actual number of the target transmission addresses is counted, the difference value between the actual number and the number of the pre-stored Bluetooth addresses is calculated to determine the transmitted feedback information, the judgment of the Bluetooth address of the target test echo signal device to be detected is received through superposition on the basis of echo identification, the determination of the transmission address is further improved, the information feedback is improved, and the accuracy and the comprehensiveness of the information feedback are improved.
In particular, according to the actual duty ratio of the to-be-detected frame and the preset standard duty ratio which accord with the judging result, the accurate judgment of the calculation of the average value of the actual similarity of the to-be-detected frame is realized.
In particular, by setting the first standard similarity difference value and the second standard similarity difference value, the purpose of reversely adjusting the standard similarity value by the first adjusting parameter, the second adjusting parameter or the third adjusting parameter determined according to the relation between the actual similarity difference value and the preset first standard similarity difference value and second standard similarity difference value is achieved, so that the adjusted standard similarity value accords with a judging range more, and the accuracy of echo identification is improved.
In particular, by judging the size relation between the actual number and the standard number of the preset standard transmission addresses, the purpose of determining the transmitted feedback information according to the size relation is achieved, omission of information transmission is avoided, and comprehensiveness of information transmission is improved.
In particular, by setting a similarity value calculation formula, calculation of the mel frequency cepstrum coefficient sequence similarity value and the linear prediction cepstrum coefficient sequence similarity value contained in the cepstrum domain characteristic parameter is realized.
Drawings
Fig. 1 is a schematic flow chart of a first process for preparing a photoelectric curtain wall according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a second flow of a method for manufacturing a photoelectric curtain wall according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a first structure of a system for manufacturing a photoelectric curtain wall according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a second structure of a system for manufacturing a photoelectric curtain wall according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; 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 invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It is noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and in the foregoing figures, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1-2, a method for manufacturing a photoelectric curtain wall according to an embodiment of the present invention includes:
step S100: receiving a test echo signal in the preparation process of the photoelectric curtain wall, acquiring the actual time length of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual time length with a preset standard time length, and if the actual time length is longer than the standard time length, segmenting the actual time length to obtain a plurality of test echo signal segments;
step S200: judging whether quality qualified information is sent or not according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function, acquiring a Bluetooth address of a target test echo signal to be detected by utilizing the quality qualified information, determining a target transmission address if the Bluetooth address belongs to a pre-stored Bluetooth address, judging the magnitude relation between the actual number and the pre-stored Bluetooth address number, and determining transmitted feedback information according to the magnitude relation;
step S300: establishing connection according to the quality qualified information, and receiving the feedback information after establishing connection;
in step S200, determining whether to send quality qualified information according to the cepstrum domain feature parameters of the to-be-detected sub-frames in each of the test echo signal segments extracted by the cross-correlation function includes:
step S201: for any test echo signal segment, framing the test echo signal segment to obtain a plurality of frames to be detected, and extracting cepstrum domain characteristic parameters of each frame to be detected according to a cross-correlation function;
step S202: calculating an actual similarity value of a frame to be detected and a preset standard frame based on the cepstrum domain characteristic parameter, and judging the actual similarity value and the preset standard similarity value to obtain a judging result;
step S203: counting the actual duty ratio of the frame to be detected, which accords with the judging result, and determining whether to calculate the actual similarity average value of the frame to be detected according to the actual duty ratio and the preset standard duty ratio;
step S204: and determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value.
Specifically, when the test echo signal segment is subjected to framing processing to obtain a plurality of frames to be detected, the test echo signal segment is subjected to framing processing through preset standard framing parameters, the standard framing parameters comprise standard framing duration and standard frame shift duration, the extracted cepstrum domain characteristic parameters comprise a Mel frequency cepstrum coefficient sequence and a linear prediction cepstrum coefficient sequence, a similarity value R1 of the Mel frequency cepstrum coefficient sequence and a similarity value R2 of the linear prediction cepstrum coefficient sequence are obtained through a cross-correlation function,
wherein H is the number of Mel filters, i.e. [1, m ]]L represents a first integer, R i (l) Representing a first cross-correlation function mfcc i (n) represents a sequence of mel-frequency cepstral coefficients, R i (l) max Represents the maximum value of the first cross-correlation function, R1 represents the similarity value of the sequence of Mel frequency cepstrum coefficients, p is the channel model order, n represents the second integer, R i (n) represents a second cross-correlation function, R i (n) max Represents the maximum value of the second cross-correlation function, R2 represents the similarity value of the linear prediction cepstrum coefficient sequence, m represents the number of frames to be detected, and alpha i (r) represents a linear predictive cepstral coefficient sequence, α i * Complex conjugate function and r e 1, p]I represents the ith frame, and x represents the conjugate.
Specifically, the standard similarity value is denoted as E0, and the skilled person can set the value range of the standard similarity value E0 within the range of [0.95,0.97 ].
Specifically, the standard framing duration can be set by those skilled in the art within the range of [20, 50], in dimension milliseconds; the standard frame is set in the range of [10, 15] by a person skilled in the art, the dimension millisecond is usually 20-50 milliseconds for one frame, and meanwhile, overlapping redundancy exists between frames to avoid that the signal of the frame is weakened at two ends to affect the identification precision, for example, the frame length is 25 milliseconds, the overlapping between two frames is 15 milliseconds, that is, the frame is moved to 10 milliseconds when one frame is taken every 10 milliseconds.
Specifically, in the embodiment of the invention, the actual duration of the test echo signal is compared with the preset standard duration, so that the test echo signal is segmented to obtain a plurality of test echo signal segments, the calculated carrying is reduced, and the processing efficiency is improved; the method comprises the steps of processing a frame to be detected to obtain a plurality of frames to be detected, calculating actual similarity values of the frames to be detected and preset standard frames by extracting cepstrum domain characteristic parameters of the frames to be detected, judging the actual similarity values and the preset standard similarity values to obtain judging results, obtaining and actually judging a similarity average value, determining an executing mode according to the relation between the actual similarity average value and the preset standard similarity average value to judge whether quality qualified information is transmitted or not, and judging that the quality qualified information is transmitted by a host computer of the echo signal to be detected, so that a transmitted target is more accurate; according to the method, the Bluetooth address of the target test echo signal to be detected is obtained according to the quality qualified information, the target transmission address is determined according to the relation between the Bluetooth address and the preset Bluetooth address, the actual number of the target transmission addresses is counted, the difference value between the actual number and the number of the pre-stored Bluetooth addresses is calculated to determine the transmitted feedback information, the judgment of the Bluetooth address of the target test echo signal device to be detected is received through superposition on the basis of echo identification, the determination of the transmission address is further improved, and the accuracy and the comprehensiveness of information feedback are improved.
Specifically, when calculating the actual similarity value between the frame to be detected and the preset standard frame based on the cepstrum domain characteristic parameter, calculating by the formula (1):
E=λ1×R1+λ2×R2;
wherein λ1 represents a first weight coefficient, λ2 represents a second weight coefficient, R1 represents a mel-frequency cepstrum coefficient sequence similarity value, R2 represents a linear prediction cepstrum coefficient sequence similarity value, and E represents an actual similarity value, wherein 0< λ1< λ 2<1, λ1+λ2=1.
Specifically, in the embodiment of the invention, through setting a similarity value calculation formula, the calculation of the mel frequency cepstrum coefficient sequence similarity value and the linear prediction cepstrum coefficient sequence similarity value contained in the cepstrum domain characteristic parameter is realized.
Specifically, determining whether to calculate an actual similarity average value of the to-be-detected sub-frame according to the actual duty ratio and a preset standard duty ratio includes:
if the actual duty ratio of the frame to be detected, which accords with the first judging result, is larger than or equal to the standard duty ratio, the average value of the actual similarity of the frame to be detected in any test echo signal section is not calculated;
if the actual duty ratio of the frame to be detected, which accords with the first judging result, is smaller than the standard duty ratio, or if the actual duty ratio of the frame to be detected, which accords with the second judging result, is larger than or equal to the standard duty ratio, calculating the average value of the actual similarity of the frame to be detected in any test echo signal section;
the first determination result is that the actual similarity value is greater than or equal to a standard similarity value, and the second determination result is that the actual similarity value is smaller than the standard similarity value.
Specifically, in the embodiment of the invention, according to the actual duty ratio of the frame to be detected, which accords with the judging result, and the preset standard duty ratio, the accurate judgment of the calculation of the average value of the actual similarity of the frame to be detected is realized.
Specifically, the standard similarity average value is denoted as P0, and the skilled person can set the value range of the standard similarity value P0 within the range of [0.95,0.97 ].
Specifically, determining the execution mode according to the relation between the actual similarity average value and the preset standard similarity average value includes:
if the actual similarity average value is smaller than the standard similarity average value, comparing the actual similarity average value with a preset standard similarity average value to obtain a comparison result, and adjusting the standard similarity value according to the comparison result;
and if the actual similarity average value is greater than or equal to the preset standard similarity average value, sending quality qualified information to the Bluetooth transmission terminal.
Specifically, to ensure accuracy of echo similarity, the value of the standard similarity average value set in the embodiment of the invention is larger, if the actual similarity average value is smaller than the standard similarity average value, it is indicated that the similarity between the echo in the test echo signal section and the preset standard echo is smaller, and a comparison result is needed to be obtained by comparing the actual similarity average value with the preset standard similarity average value, and whether to finely adjust the standard similarity value is judged according to the comparison result; if the actual similarity average value is greater than or equal to the preset standard similarity average value, the fact that the similarity between the echo in the test echo signal section and the preset standard echo accords is indicated, and quality qualified information can be sent to the Bluetooth transmission terminal.
Specifically, in the embodiment of the invention, the determination of the execution mode is realized according to the magnitude relation between the actual similarity average value and the preset standard similarity average value.
Specifically, comparing the actual similarity average value with a preset standard similarity average value to obtain a comparison result, and adjusting the standard similarity value according to the comparison result includes:
setting a first standard similarity difference value and a second standard similarity difference value,
and if the actual similarity average value is smaller than the standard similarity average value, reversely adjusting the standard similarity value according to a first adjusting parameter, a second adjusting parameter or a third adjusting parameter determined according to the relationship between the actual similarity difference value and a preset first standard similarity difference value and a second standard similarity difference value.
Specifically, if the actual similarity difference is smaller than the first standard similarity value, selecting a first adjustment parameter to adjust the standard similarity value to the first standard similarity value;
if the actual similarity difference value is larger than or equal to the first standard similarity value and smaller than the second standard similarity value, selecting a second adjusting parameter to adjust the standard similarity value to the second standard similarity value;
and if the actual similarity difference value is greater than or equal to the second standard similarity value, selecting a third adjusting parameter to adjust the standard similarity value to a third standard similarity value.
Specifically, the actual similarity average value is marked as P, the standard similarity average value is marked as P0, if the actual similarity average value P is smaller than the standard similarity average value P0, an actual similarity difference value Δpa is obtained according to the actual similarity average value P, and Δpa=p-P0 is set; when Δpa < Δp1, selecting a first adjustment parameter α1 to adjust the standard similarity value C to a first standard similarity value c1= (1- α1) C; when DeltaP 1 is less than or equal to DeltaPA < DeltaP2, a second adjustment parameter alpha 2 is selected to adjust the standard similarity value C to a second standard similarity value C2= (1-alpha 2) C, and when DeltaPA is more than or equal to DeltaP 2, a third adjustment parameter alpha 3 is selected to adjust the standard similarity value C to a third standard similarity value C3= (1-alpha 3) C, wherein 0.1 < alpha 1< alpha 2< alpha 3 < 0.15.
Specifically, in the embodiment of the invention, by setting the first standard similarity difference value and the second standard similarity difference value, the purpose of reversely adjusting the standard similarity value by the first adjusting parameter, the second adjusting parameter or the third adjusting parameter determined according to the relation between the actual similarity difference value and the preset first standard similarity difference value and the second standard similarity difference value is realized, so that the adjusted standard similarity value accords with a judging range more, and the accuracy of echo identification is improved.
Specifically, if the standard similarity average value of the similarity is greater than or equal to the standard similarity average value, when quality qualified information is sent to a bluetooth transmission terminal, the quality qualified information is sent to the bluetooth transmission terminal in a coverage area of the bluetooth transmission terminal to establish bluetooth connection, the bluetooth transmission terminal obtains a bluetooth address of a device for receiving a target test echo signal to be detected, the bluetooth address of the test echo signal is a bluetooth address of a slave device, the slave device is used for receiving the test echo signal, the bluetooth transmission terminal is used for feeding back information, and the bluetooth address is pre-stored in a connection list of a master device.
Specifically, determining the size relation between the actual number and the standard number of the preset standard transmission addresses, and determining the transmitted feedback information according to the size relation includes:
if the actual number is greater than or equal to the standard number of the preset standard transmission addresses, determining to transmit first feedback information;
if the actual number is smaller than the standard number of the preset standard transmission addresses, determining to transmit second feedback information;
the first feedback content is file information which cannot be transmitted due to the fact that the transmission address is missing in a large quantity; and the second feedback content is that the Bluetooth transmission terminal does not leave the coverage area of the Bluetooth transmission terminal, and the file transmission is started after one minute.
Specifically, in the embodiment of the invention, the purpose of determining the transmitted feedback information according to the size relation is realized by judging the size relation between the actual number and the standard number of the preset standard transmission addresses, so that omission of information transmission is avoided, and the comprehensiveness of information transmission is improved.
Specifically, when the feedback information is transmitted, the bluetooth transmission terminal is provided with a transmission period, and if file transmission is not completed in the transmission period, detection and confirmation of the test echo signal need to be performed again.
Specifically, the transmission period can be set within the range of [10, 20] in the dimension of minutes by those skilled in the art.
Referring to fig. 3 to 4, an information feedback system based on user echo identification according to an embodiment of the present invention includes:
the echo receiving module 10 is used for receiving a test echo signal in the preparation process of the photoelectric curtain wall, acquiring the actual time length of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual time length with a preset standard time length, and if the actual time length is longer than the standard time length, segmenting the actual time length to obtain a plurality of test echo signal segments;
the echo judging module 20 is connected with the echo receiving module 10, and is configured to judge whether to send quality qualified information according to the cepstrum domain characteristic parameters of the to-be-detected frames in each test echo signal segment extracted by the cross correlation function, so as to obtain a bluetooth address of a to-be-detected target test echo signal by using the quality qualified information, determine that the bluetooth address is a target transmission address if the bluetooth address belongs to a pre-stored bluetooth address, judge a magnitude relation between the actual number and the pre-stored bluetooth address number, and determine transmitted feedback information according to the magnitude relation;
the information receiving module 30 is connected with the echo judging module 20, and is used for establishing connection according to the quality qualified information and receiving the feedback information after establishing connection;
the echo judging module 20 comprises a slicing unit 21, a judging unit 22, a calculating unit 23 and a determining unit 24,
the slicing unit 21 is configured to process the test echo signal segment in frames to obtain a plurality of frames to be detected for any test echo signal segment, and extract cepstrum domain feature parameters of each frame to be detected according to a cross-correlation function;
the judging unit 22 is connected with the segmentation unit 21, and is configured to calculate an actual similarity value between a frame to be detected and a preset standard frame based on the cepstrum domain characteristic parameter, and judge the actual similarity value and the preset standard similarity value to obtain a judging result;
the calculating unit 23 is connected with the judging unit 22, and is configured to count an actual duty ratio of the frame to be detected, which accords with a judging result, and determine whether to calculate an actual similarity average value of the frame to be detected according to the actual duty ratio and a preset standard duty ratio;
the determining unit 24 is connected to the calculating unit 23, and is configured to determine an execution mode according to a relationship between the actual similarity average value and a preset standard similarity average value.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The preparation method of the photoelectric curtain wall is characterized by comprising the following steps:
receiving a test echo signal in the preparation process of the photoelectric curtain wall, acquiring the actual time length of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual time length with a preset standard time length, and if the actual time length is longer than the standard time length, segmenting the actual time length to obtain a plurality of test echo signal segments;
judging whether quality qualified information is sent or not according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function, acquiring a Bluetooth address of a target test echo signal device to be detected by utilizing the quality qualified information, determining a target transmission address if the Bluetooth address belongs to a pre-stored Bluetooth address, judging the magnitude relation between the actual number and the pre-stored Bluetooth address number, and determining transmitted feedback information according to the magnitude relation;
establishing connection according to the quality qualified information, and receiving the feedback information after establishing connection;
the step of judging whether to send quality qualified information according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function comprises the following steps:
for any test echo signal segment, framing the test echo signal segment to obtain a plurality of frames to be detected, and extracting cepstrum domain characteristic parameters of each frame to be detected according to a cross-correlation function;
calculating an actual similarity value of a frame to be detected and a preset standard frame based on the cepstrum domain characteristic parameter, and judging the actual similarity value and the preset standard similarity value to obtain a judging result;
counting the actual duty ratio of the frame to be detected, which accords with the judging result, and determining whether to calculate the actual similarity average value of the frame to be detected according to the actual duty ratio and the preset standard duty ratio;
and determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value.
2. The method for preparing a photoelectric curtain wall according to claim 1, wherein,
when calculating the actual similarity value between the frame to be detected and the preset standard frame based on the cepstrum domain characteristic parameters, calculating according to a formula (1):
E=λ1×R1+λ2×R2;
wherein λ1 represents a first weight coefficient, λ2 represents a second weight coefficient, R1 represents a mel-frequency cepstrum coefficient sequence similarity value, R2 represents a linear prediction cepstrum coefficient sequence similarity value, and E represents an actual similarity value, wherein 0< λ1< λ 2<1, λ1+λ2=1.
3. The method for preparing a photoelectric curtain wall according to claim 2, wherein,
determining whether to calculate an actual similarity average value of the to-be-detected frame according to the actual duty ratio and a preset standard duty ratio comprises:
if the actual duty ratio of the frame to be detected, which accords with the first judging result, is larger than or equal to the standard duty ratio, the average value of the actual similarity of the frame to be detected in any test echo signal section is not calculated;
if the actual duty ratio of the frame to be detected, which accords with the first judging result, is smaller than the standard duty ratio, or if the actual duty ratio of the frame to be detected, which accords with the second judging result, is larger than or equal to the standard duty ratio, calculating the average value of the actual similarity of the frame to be detected in any test echo signal section;
the first determination result is that the actual similarity value is greater than or equal to a standard similarity value, and the second determination result is that the actual similarity value is smaller than the standard similarity value.
4. The method for preparing a photoelectric curtain wall according to claim 3, wherein,
determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value comprises the following steps:
if the actual similarity average value is smaller than the standard similarity average value, comparing the actual similarity average value with a preset standard similarity average value to obtain a comparison result, and adjusting the standard similarity value according to the comparison result;
and if the actual similarity average value is greater than or equal to the preset standard similarity average value, sending quality qualified information to the Bluetooth transmission terminal.
5. The method for preparing a photoelectric curtain wall according to claim 4, wherein,
comparing the actual similarity average value with a preset standard similarity average value to obtain a comparison result, and adjusting the standard similarity value according to the comparison result comprises:
setting a first standard similarity difference value and a second standard similarity difference value,
and if the actual similarity average value is smaller than the standard similarity average value, reversely adjusting the standard similarity value according to a first adjusting parameter, a second adjusting parameter or a third adjusting parameter determined according to the relationship between the actual similarity difference value and a preset first standard similarity difference value and a second standard similarity difference value.
6. The method for preparing a photoelectric curtain wall according to claim 5, wherein,
if the actual similarity difference is smaller than the first standard similarity value, selecting a first adjusting parameter to adjust the standard similarity value to the first standard similarity value;
if the actual similarity difference value is larger than or equal to the first standard similarity value and smaller than the second standard similarity value, selecting a second adjusting parameter to adjust the standard similarity value to the second standard similarity value;
and if the actual similarity difference value is greater than or equal to the second standard similarity value, selecting a third adjusting parameter to adjust the standard similarity value to a third standard similarity value.
7. The method for preparing a photoelectric curtain wall according to claim 6, wherein,
when quality qualified information is sent to a Bluetooth transmission terminal, the quality qualified information is sent to the Bluetooth transmission terminal in the coverage area of the Bluetooth transmission terminal to be used for establishing Bluetooth connection, the Bluetooth transmission terminal obtains a Bluetooth address of a target test echo signal device to be detected, the Bluetooth address of the test echo signal is a Bluetooth address of a slave device, the slave device is used for receiving the test echo signal, the Bluetooth transmission terminal is used for feeding back information, and the Bluetooth address is prestored in a connection list of a master device.
8. The method for preparing a photoelectric curtain wall according to claim 7, wherein,
judging the size relation between the actual number and the standard number of the preset standard transmission addresses, and determining the transmitted feedback information according to the size relation comprises the following steps:
if the actual number is greater than or equal to the standard number of the preset standard transmission addresses, determining to transmit first feedback information;
if the actual number is smaller than the standard number of the preset standard transmission addresses, determining to transmit second feedback information;
the first feedback content is file information which cannot be transmitted due to the fact that the transmission address is missing in a large quantity; and the second feedback content is that the Bluetooth transmission terminal does not leave the coverage area of the Bluetooth transmission terminal, and the file transmission is started after one minute.
9. The method for preparing a photoelectric curtain wall according to claim 8, wherein,
when the feedback information is transmitted, the Bluetooth transmission terminal is provided with a transmission period, and if the file transmission is not completed in the transmission period, the detection and confirmation of the test echo signal are required to be carried out again.
10. A system for applying to a method for manufacturing a photovoltaic curtain wall according to any one of claims 1 to 9, characterized in that it comprises:
the echo receiving module is used for receiving the test echo signal, acquiring the actual time length of the test echo signal according to a time domain diagram of the test echo signal, comparing the actual time length with a preset standard time length, and if the actual time length is longer than the standard time length, segmenting the actual time length to obtain a plurality of test echo signal segments;
the echo judging module is connected with the echo receiving module and is used for judging whether quality qualified information is sent according to the cepstrum domain characteristic parameters of the frames to be detected in each test echo signal segment extracted by the cross-correlation function, so as to acquire the Bluetooth address of the target test echo signal to be detected by utilizing the quality qualified information, if the Bluetooth address belongs to a pre-stored Bluetooth address, the Bluetooth address is determined to be a target transmission address, the size relation between the actual number and the pre-stored Bluetooth address number is judged, and the transmitted feedback information is determined according to the size relation;
the information receiving module is connected with the echo judgment module, and is used for establishing connection according to the quality qualified information and receiving the feedback information after establishing connection;
the echo judging module comprises a segmentation unit, a judging unit, a calculating unit and a determining unit,
the segmentation unit is used for carrying out framing processing on any test echo signal segment to obtain a plurality of frames to be detected, and extracting cepstrum domain characteristic parameters of each frame to be detected according to a cross-correlation function;
the judging unit is connected with the segmentation unit and is used for calculating the actual similarity value of the frame to be detected and the preset standard frame based on the cepstrum domain characteristic parameter, and judging the actual similarity value and the preset standard similarity value to obtain a judging result;
the calculating unit is connected with the judging unit and is used for counting the actual duty ratio of the frame to be detected, which accords with the judging result, and determining whether to calculate the actual similarity average value of the frame to be detected according to the actual duty ratio and the preset standard duty ratio;
the determining unit is connected with the calculating unit and used for determining an execution mode according to the relation between the actual similarity average value and a preset standard similarity average value.
CN202311428328.9A 2023-10-31 2023-10-31 Preparation method and system of photoelectric curtain wall Pending CN117727829A (en)

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