CN114910556A - Noise control method and system for building curtain wall section bar processing - Google Patents
Noise control method and system for building curtain wall section bar processing Download PDFInfo
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Abstract
The invention provides a method and a system for controlling the processing noise of a building curtain wall section, wherein the method comprises the following steps: monitoring the waveform signal parameters of the processing noise of the building curtain wall profile in real time, and constructing a continuous noise propagation signal value calculation model; carrying out self-adaptive tracking adjustment on the obtained continuous noise propagation signal value to obtain an accurate noise propagation signal value for processing the building curtain wall section; calculating the noise of the section bar processing noise reflected into the environment after passing through the building curtain wall; and judging whether the environmental noise allowable threshold is reached, if so, stopping machining, and otherwise, repeating the steps. The method can effectively weaken the influence of the white Gaussian noise on the obtained continuous noise waveform signal parameters in the process of monitoring the parameters in real time, further effectively improve the accuracy and precision of the calculated value of the noise volume reflected to the environment in the process of processing the building curtain wall section, and avoid the situations of no-end shutdown or excessive noise emission caused by wrong control instructions due to calculation deviation of the control instructions.
Description
Technical Field
The invention belongs to the technical field of building processing noise pollution control, and particularly relates to a method and a system for controlling processing noise of a building curtain wall section.
Background
The glass curtain wall gains favor of people with the advantages of good indoor visual permeability, glittering and translucent glass panels, attractive and elegant appearance, earthquake resistance, wind resistance, good water tightness and air tightness, heat preservation, heat insulation, environmental protection, energy conservation and the like, is used as the facade decoration of buildings, is a remarkable performance characteristic of the combination of modern aesthetics and space art of high-rise buildings, and is increasingly displayed in various commercial buildings and public buildings.
But in the course of working at building curtain, because the glass section bar that adopts combines the cutting glass, welding, riveting, trompil, groove or mortise and tenon in-process with the building body, the operation workman and to the glass curtain wall additional installation transformation in-process of current building body, all have noise influence to building curtain construction practitioner and the staff or the resident family in the building.
In the prior art, chinese patent 201810891025.3 discloses a software system for managing a construction site including a noise monitoring unit using a weighted average method, which is used to collect and display smoke values, temperature values, humidity values and noise values of the construction site through a smoke monitoring unit, a temperature monitoring unit, a humidity monitoring unit and a noise monitoring unit, respectively, so as to determine various environmental indexes of the construction site, but a typical connection terminal controller of a main control computer of the system does not determine whether the system meets environmental allowable range parameters, and then controls whether each processing device of the construction site is turned on or turned off. Further, chinese patent 202010355846.2 discloses a method and system for determining that the environmental noise emission at a construction site is out of limits by collecting the noise level (i.e. instantaneous noise level) of a noise monitoring point at the construction site in real time, measuring the shortest distance between buildings of different types at the periphery of the construction site and the noise monitoring point at the construction site, calculating the influence value of the noise at the construction site on the buildings of different types at the periphery of the construction site according to the instantaneous noise level and the calculated shortest distance, calculating the continuous equivalent noise level of the building of the functional area corresponding to the shortest distance in continuous time according to the different influence values, determining whether the continuous equivalent noise level exceeds the noise equivalent noise level limit value to determine whether the noise level at the construction site is out of limits, defining the noise level only by the different noise values and noise distances and determining whether each noise equivalent exceeds the limit value to determine whether the noise level exceeds the noise level standard at the construction site, the collected noise parameters of the construction site are not subjected to noise elimination processing, and the real values reflected into the environment after being absorbed by the entity of the construction site are calculated, so that the calculated noise equivalent sound level cannot accurately reflect the real noise transmitted to the environment by the construction site, and further, the judgment is not accurate enough when exceeding the standard, and the judgment error is easily caused.
Therefore, a noise control method and a noise control system capable of monitoring whether noise reflected to the environment after being absorbed by part of building glass in a building curtain wall in the processing process of a building curtain wall profile exceeds an environment allowable range in real time, controlling whether a building curtain wall profile processing device is started or stopped and improving the judgment accuracy are urgently needed.
Disclosure of Invention
Aiming at the defects, the invention provides a method and a system for controlling the noise in the processing of a building curtain wall section. The method can effectively weaken the influence of the white Gaussian noise on the obtained parameters of the waveform signals of the continuous noises in the process of monitoring the parameters in real time, further effectively improve the accuracy and precision of the calculated value of the noise volume reflected to the environment in the process of processing the building curtain wall section bar, and avoid the situations of no-end shutdown or excessive noise emission caused by wrong control instructions due to calculation deviation of the control instructions.
The invention provides the following technical scheme: the noise control method for the building curtain wall section processing comprises the following steps:
s1: monitoring the waveform signal parameters of the processing noise of the building curtain wall profile in real time, and constructing a continuous noise propagation signal value calculation model;
s2: adopting a self-adaptive tracking adjustment algorithm to perform self-adaptive tracking adjustment on the continuous noise propagation signal value calculated by the continuous noise propagation signal value calculation model constructed in the step S1 to obtain an accurate noise propagation signal value for processing the building curtain wall section;
s3: adopting the accurate noise propagation signal value of the building curtain wall profile obtained by the adjustment in the step S2, and calculating the noise of the profile processing noise reflected to the environment after passing through the building curtain wall;
s4: and judging whether the noise reflected into the environment after the building curtain wall section is processed through the building curtain wall reaches an environment noise allowable threshold value or not, stopping processing if the noise reaches the threshold value, and otherwise, repeating the steps S1-S3.
Further, the continuous noise propagation signal value calculation model y (k) constructed in step S1 is as follows:
Y(k)＝X(k)+n(k)；
X(k)＝A(k)cos(Φ(k)k+ξ(k))；
wherein, Y (k) is a continuous noise propagation signal value calculation model with Gaussian white noise n (k) at the time k, X (k) is a continuous noise propagation real value model at the time k, A (k) is continuous noise real value amplitude at the time k, phi (k) is continuous noise real value frequency at the time k, and xi (k) is continuous noise real value phase at the time k,
further, the step S2 is to perform adaptive tracking adjustment on the continuous noise propagation signal value calculation model constructed in the step S1 to obtain an accurate noise propagation signal value for processing the section bar of the building curtain wall, and includes the following steps:
s21: according to the noise waveform signal parameters of the building curtain wall section bar processing obtained by the step S1 through real-time monitoring, a k moment noise waveform signal parameter characteristic matrix theta (k) ═ A (k) phi (k) xi (k) is constructed] T And constructing a prior estimation matrix of the k-time noise waveform signal parameter characteristic according to the k-1-time noise waveform signal parameter
wherein ,
from a priori estimates of the real-valued amplitudes of the noise at the time k-1 for the continuous real-valued amplitudes of the noise at the time kThe value of the one or more of the one,
for the prior estimation value of the k moment continuous noise real value frequency according to the k-1 moment noise real value frequency,
the prior estimation value of the k moment continuous noise real value phase according to the k-1 moment noise real value phase is obtained;
s22: according to the k-time noise waveform signal parameter feature matrix theta (k) and the k-time noise waveform signal parameter feature prior estimation matrix constructed in the step S21
The calculation model e of the amplitude and phase coupling deviation is constructed f (k) And frequency deviation calculation model e c (k)：
S23: calculating an amplitude and phase coupling deviation model e constructed according to the step S22 f (k) And frequency deviation calculation model e c (k) Construction of gradient vector matrix calculation model
S24: calculating updated value of waveform parameter prior estimated value of noise in processing of building curtain wall profile at k +1 moment
wherein ,W-1 (k) Continuously optimizing and iterating the updated value of the prior estimated value to obtain the accurate calculated value Y of the noise propagation signal of the adaptive tracking adjusted section bar processing of the building curtain wall a (k)。
Further, the gradient vector matrix calculation model in the step S23
The calculation formula of (a) is as follows:
further, the coefficient matrix W is calculated by updating in the step S24 -1 (k) The following were used:
further, the step of calculating the noise of the profile processing noise reflected into the environment after passing through the building curtain wall in the step of S3 is as follows:
s31: real-time monitoring of real-time displacement m of noise incident point at noise incident glass curtain wall in x-axis direction of cubic glass unit a (k) And real-time displacement m in the y-axis direction b (k) Real-time x-axis local curvature gamma of noise incident point due to vibration caused by noise a (k) And real-time y-axis local curvature gamma for noise induced vibrations b (k) And constructing a k-time noise incident point glass plate real-time noise absorption calculation model S w (k)：
wherein ,
x-axis freedom of vibration of a glass sheet with n being a free natural mode for absorbing an effective weight coefficient for noise of the glass sheetM is the degree of freedom of the glass plate in the free natural mode in the y axis, E is the elastic modulus of the glass plate, J is the bending deformation coefficient of the glass plate, i is a complex unit, epsilon is Poisson ratio, and q (k) is the difference of the normal vector displacement of a noise incidence point at the noise incidence glass curtain wall at the moment k in the thickness direction of the cubic glass unit;
s32: and calculating a model S of the real-time noise absorption amount of the glass plate at the k-time noise incident point constructed according to the step S31 w (k) And constructing a noise quantity calculation model S when the processing noise of the section reaches the glass curtain wall at the moment k ab (k)：
wherein ,Sa (k) Absorbing noise quantity, S, for air at time k a (k)＝ρ a c，ρ a Is the air density, c is the speed at which sound propagates in air;
s33: a noise quantity calculation model S constructed according to the step S32 when the profile machining noise reaches the glass curtain wall at the time k ab (k) Calculating the noise S of the section bar processing noise at the moment k, which is reflected into the environment through the building curtain wall e (k)：
S e (k)＝1-S ab (k)。
Further, the glass sheet noise absorption effective weight coefficient in the step S31
The following conditions are satisfied:
wherein Y (k) is a continuous noise propagation signal value with white Gaussian noise n (k) at time k, Y a (k) The noise propagation signal is accurately calculated for the building curtain wall section.
Further, the difference q (k) between the normal vector displacements of the noise incident point of the noise incident glass curtain wall at the time k in the thickness direction of the cubic glass unit satisfies the following condition:
where ρ is the glass sheet density.
Further, the environmental noise allowable threshold value is 0 < S e (k)≤0.35，S e (k) The noise of the section bar processing noise at the moment k is reflected into the environment after passing through the building curtain wall.
The invention also provides a noise control system for processing the building curtain wall section, which comprises a noise waveform signal parameter real-time monitoring module, a noise signal processing module and a noise processing control module;
the noise waveform signal parameter real-time monitoring module is used for monitoring the noise waveform signal parameters of the building curtain wall profile in real time;
the noise signal processing module is used for constructing a continuous noise propagation signal value calculation model, and performing self-adaptive tracking adjustment on the constructed continuous noise propagation signal value calculation model by adopting a self-adaptive tracking adjustment algorithm to obtain an accurate noise propagation signal value for processing the building curtain wall section; calculating the noise of the section bar processing noise reflected into the environment after passing through the building curtain wall by adopting the adjusted accurate noise propagation signal value of the section bar processing of the building curtain wall
And the processing noise main control module is used for judging whether the noise reflected into the environment after the building curtain wall section bar is processed through the building curtain wall reaches an environment noise allowable threshold value or not and controlling to send a processing instruction for stopping or starting the building curtain wall section bar.
The beneficial effects of the invention are as follows:
1. the invention provides a method for controlling the processing noise of a building curtain wall profile, which monitors the processing noise waveform signal parameters of the building curtain wall profile in real time through a noise waveform signal parameter real-time monitoring module: the amplitude, frequency and phase of sine wave noise, and constructing continuous noise propagation signal value calculation model Y (k) with Gaussian white noise n (k), and calculating true continuous noiseThe propagation signal values x (k) are expressed in terms of the expansion of the respective parameters: x (k) ═ a (k) cos (Φ (k) k + ξ (k)), and by constructing a noise waveform signal parameter feature matrix θ (k) at time k and a noise waveform signal parameter feature prior estimation matrix at time k constructed from the noise waveform signal parameters at time k-1
The amplitude and phase deviations from the true continuous noise propagation signal value x (k) due to the presence of white gaussian noise n (k), respectively, can be: amplitude versus phase coupling deviation and deviation from the frequency of the true continuous noise propagation signal value x (k): respectively constructing an amplitude and phase coupling deviation calculation model e by frequency deviation f (k) And frequency deviation calculation model e c (k) The respective calculations are performed to further resolve the deviation of each parameter from the true continuous noise propagation signal value x (k) due to the presence of white gaussian noise n (k).
2. After the deviation of each parameter relative to the real continuous noise propagation signal value X (k) caused by the existence of the white Gaussian noise n (k) is decomposed, the invention respectively utilizes the amplitude and phase coupling deviation to calculate a value e f (k) And frequency deviation calculation e c (k) Prior estimation matrix for k-time noise waveform signal parameter feature respectively
Calculating a second derivative, and multiplying the two second derivatives to obtain a gradient vector matrix calculation model
Thirdly, according to the k-1 moment noise waveform signal parameter prior estimation of the k moment noise waveform signal parameter characteristics, the prior estimation values of the k moment continuous noise real value amplitude, frequency and phase according to the k-1 moment noise real value amplitude, frequency and phase are obtained
And
establishing an updated calculation coefficient matrix W by using the prior estimated values of the parameters -1 (k) Calculating the model by means of a gradient vector matrix
And updating the calculation coefficient matrix W -1 (k) Deviation calculation e from amplitude and phase coupling f (k) And frequency deviation calculation e c (k) Formed 2 x 1 parameter deviation matrix
Multiplying, updating the deviation of each parameter relative to the real continuous noise propagation signal value X (k), then subtracting the updating deviation value by each parameter prior estimation matrix, and further obtaining the updated value of the waveform prior estimation value of the processing noise of the building curtain wall profile at the moment of k +1
Continuously updating and iteratively optimizing the prior estimated value of each parameter of the processing noise waveform of the building curtain wall profile, further accurately reducing the deviation of real-value amplitude, frequency and phase parameters of each continuous noise obtained by decomposition, and finally obtaining the accurate calculated value Y of the processing noise propagation signal of the building curtain wall profile after self-adaptive tracking adjustment a (k) The influence of white Gaussian noise on the obtained continuous noise waveform signal parameters in the process of monitoring the parameters in real time can be effectively weakened, the accuracy and the precision of the calculated value of the noise volume reflected to the environment in the process of processing the building curtain wall section are finally and effectively improved, and the problem that the construction period is delayed due to no end shutdown or the environmental noise exceeding the allowable noise threshold value of the actual environment and caused by the exceeding of the environmental noise caused by the fact that a control instruction is subjected to wrong control instructions caused by calculation deviation is avoided.
3. The invention utilizes the building curtain wall section bar processed noise transmission signal accurate calculation value Y after the self-adaptive adjustment and tracking a (k) Continuous with white Gaussian noise n (k) at time kThe noise propagation signal value Y (k) is compared, and the effective weight coefficient of noise absorption of the glass plate is constructed
And processing a cubic glass plate unit of glass at which a noise incidence point is positioned by constructing the building curtain wall section bar, and monitoring the vibration displacement normal vector of noise incidence reflection as q (k) and the real-time displacement m in the x-axis direction in the processing process of the building curtain wall section bar in real time a (k) And real-time displacement m in the y-axis direction b (k) Real-time x-axis local curvature gamma of noise incident point due to vibration caused by noise a (k) And real-time y-axis local curvature gamma for noise induced vibrations b (k) And constructing a k-time noise incident point glass plate real-time noise absorption calculation model S w (k) Then, the noise absorption quantity of the cubic glass unit where the noise incidence point is located caused by the real continuous noise propagation signal value is effectively calculated, and then the noise absorption quantity S in the air is calculated a (k) And constructing a noise quantity calculation model S when the processing noise of the section reaches the glass curtain wall at the moment k ab (k) And finally obtaining the noise S of the k-time section bar processing noise reflected into the environment through the building curtain wall e (k) And judging whether the environmental noise tolerance threshold value is exceeded or not, if the environmental noise tolerance threshold value is exceeded, stopping the building, if the environmental noise tolerance threshold value is not exceeded, continuing to monitor the waveform signal parameters of the processing noise of the building curtain wall profile in real time, further effectively controlling the influence of the noise caused in the process of processing the building curtain wall profile on the environment, controlling the environment within the environmental tolerance range, and ensuring the environmental health of building workers and workers in buildings such as office buildings or residential buildings.
4. The invention preprocesses the collected signal, reduces the white noise doped in the signal and obtains the real vibration signal condition as much as possible.
Drawings
The invention will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings. Wherein:
FIG. 1 is a schematic flow chart of a method for controlling noise in the processing of a section bar of a building curtain wall according to the present invention;
FIG. 2 is a side view of the noise control system for processing the section bar of the building curtain wall provided by the 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.
As shown in fig. 1, the method for controlling noise in processing of a building curtain wall profile provided by the invention comprises the following steps:
s1: monitoring the waveform signal parameters of the processing noise of the building curtain wall profile in real time, and constructing a continuous noise propagation signal value calculation model;
s2: adopting a self-adaptive tracking adjustment algorithm to perform self-adaptive tracking adjustment on the continuous noise propagation signal value calculated by the continuous noise propagation signal value calculation model constructed in the step S1 to obtain an accurate noise propagation signal value for processing the building curtain wall section;
s3: adopting the accurate noise propagation signal value of the building curtain wall profile obtained by the adjustment in the step S2, and calculating the noise of the profile processing noise reflected into the environment after passing through the building curtain wall;
s4: and judging whether the noise reflected into the environment after the building curtain wall section is processed through the building curtain wall reaches an environment noise allowable threshold value or not, stopping processing if the noise reaches the threshold value, and otherwise, repeating the steps S1-S3.
Wherein, the continuous noise propagation signal value calculation model y (k) constructed in the step S1 is as follows:
Y(k)＝X(k)+n(k)；
X(k)＝A(k)cos(Φ(k)k+ξ(k))；
wherein, Y (k) is a continuous noise propagation signal value calculation model with Gaussian white noise n (k) at the time k, and X (k) is a real value model of continuous noise propagation at the time k, namely a continuous noise propagation signal waveform at the time k, which is a positive typeSine wave waveform, A (k) is continuous noise real value amplitude at time k, phi (k) is continuous noise real value frequency at time k, xi (k) is continuous noise real value phase at time k,
i.e., white gaussian noise n (k), follows a normal distribution.
In the step S2, self-adaptive tracking adjustment is carried out on the continuous noise propagation signal value calculation model constructed in the step S1 to obtain an accurate noise propagation signal value for processing the building curtain wall section, and the method comprises the following steps:
s21: according to the noise waveform signal parameters of the building curtain wall section bar processing obtained by the step S1 through real-time monitoring, a k moment noise waveform signal parameter characteristic matrix theta (k) ═ A (k) phi (k) xi (k) is constructed] T And constructing a prior estimation matrix of the k-time noise waveform signal parameter characteristic according to the k-1-time noise waveform signal parameter
wherein ,
for the k-time continuous noise real value amplitude according to the prior estimation value of the k-1 time noise real value amplitude,
for the prior estimation value of the k moment continuous noise real value frequency according to the k-1 moment noise real value frequency,
the prior estimation value of the k moment continuous noise real value phase according to the k-1 moment noise real value phase is obtained;
s22: constructing a k-time noise waveform signal parameter characteristic matrix theta (k) and a k-time noise waveform signal parameter characteristic prior estimation matrix according to the step of S21
The calculation model e of the amplitude and phase coupling deviation is constructed f (k) Andfrequency deviation calculation model e c (k)：
S23: an amplitude and phase coupling deviation calculation model e constructed according to the step of S22 f (k) And frequency deviation calculation model e c (k) Construction of gradient vector matrix calculation model
To pair
And
respectively unfolded to obtain a gradient vector matrix calculation model
The calculation formula of (a) is as follows:
s24: calculating updated value of waveform parameter prior estimated value of noise in processing of building curtain wall profile at k +1 moment
wherein ,W-1 (k) For updating the calculation coefficient matrix, the calculation coefficient matrix W is updated -1 (k) The following were used:
continuously optimizing and iterating the updated value of the prior estimated value to obtain the accurate calculated value Y of the noise propagation signal of the building curtain wall profile after self-adaptive tracking adjustment a (k)。
In order to monitor the noise generated during the processing of a part of glass absorbed by the profile-glass of the building curtain wall during the processing of the profile of the building curtain wall, the noise of the profile processing noise reflected into the environment after passing through the building curtain wall is calculated in the step of S3 by adopting the following steps:
the noise can cause the up-and-down elastic bending of the noise incidence point of the glass curtain wall within the fluctuation range q (k), namely the distance between the highest point of upward elastic bending and the lowest point of downward elastic bending relative to the horizontal glass plate in the absence of noise vibration is q (k), namely the vibration displacement normal vector of the cubic glass plate unit of the noise incidence point of the monitored glass plate due to noise incidence reflection is q (k), the thickness of the quadrilateral glass plate unit is h, the length is a, the width is b, and the displacement of the glass plate in the x-axis direction of the cubic glass unit caused by noise incidence is m a Y-axis displacement of m b The difference in the displacement of the normal vector in the thickness direction is q (k).
S31: real-time monitoring of real-time displacement m of noise incident point at noise incident glass curtain wall in x-axis direction of cubic glass unit a (k) And real-time displacement m in the y-axis direction b (k) Real-time x-axis local curvature gamma of noise incident point due to vibration caused by noise a (k) And real-time y-axis local curvature gamma for noise induced vibrations b (k) And constructing a k-time noise incident point glass plate real-time noise absorption calculation model S w (k)：
wherein ,
absorbing an effective weight coefficient for the noise of the glass plate, wherein n is the x-axis freedom degree of the vibration of the glass plate in a free natural mode, m is the y-axis freedom degree of the vibration of the glass plate in the free natural mode, E is the elastic modulus of the glass plate, J is the bending deformation coefficient of the glass plate, i is a complex unit, epsilon is a Poisson ratio, and q (k) is the difference of the normal vector displacement of a noise incidence point at the moment k, where the noise is incident to the glass curtain wall, in the thickness direction of the cubic glass unit;
S w (k) Δ p (k)/v (k), where v (k) is the vibration rate of the glass curtain wall caused by noise at time k, and Δ p (k) is (p) i (k)+p r (k))-p t (k)，p i (k) Noise incident sound pressure, p, being the point of incidence of the noise at time k r (k) Reflecting sound pressure for noise incident point at time k t (k) The noise transmission sound pressure that is the noise incident point at the time k, that is,
s32: a model S for calculating the real-time noise absorption amount of the glass plate at the k-time noise incident point constructed according to the step S31 w (k) And constructing a noise quantity calculation model S when the processing noise of the section reaches the glass curtain wall at the moment k ab (k)：
wherein ,Sa (k) Absorbing noise quantity, S, for air at time k a (k)＝ρ a c，ρ a Is the air density, c is the speed at which sound propagates in air;
s33: a noise quantity calculation model S constructed according to the step S32 when the profile machining noise reaches the glass curtain wall at the time k ab (k) Calculating the noise S of the section bar processing noise at the moment k, which is reflected into the environment through the building curtain wall e (k)：
S e (k)＝1-S ab (k)。
As a preferred embodiment of the present invention, the glass sheet noise absorption effective weight coefficient in the step S31
The following conditions are satisfied:
wherein Y (k) is a continuous noise propagation signal value with white Gaussian noise n (k) at time k, Y a (k) The accurate calculation value of the noise propagation signal is processed for the building curtain wall section.
As another preferred embodiment of the present invention, the difference q (k) between the normal vector displacements of the noise incidence point at the noise incidence glass curtain wall at the time k in the thickness direction of the cubic glass unit satisfies the following condition:
where ρ is the glass sheet density.
As another preferred embodiment of the present invention, in the step S4 of the method, the allowable threshold of the environmental noise is 0 < S e (k)≤0.35，S e (k) And if the environmental noise allowable threshold range is exceeded, the processing noise main control module in the control system sends a stop instruction to the profile processing equipment to stop the profile processing of the building curtain wall, so that the noise influence on the environment is reduced.
The invention inputs the propagation parameters of the sectional material processing noise of the building curtain wall obtained by real-time monitoring to the sectional material processing noise at the time k obtained by forced learning, and the sectional material processing noise is reflected to a ring after passing through the building curtain wallNoise S within the environment e (k) In the calculation model, the monitoring accuracy of the building curtain wall section processing noise control method provided by the invention is 87.23%, the accuracy of the building curtain wall section processing noise control method based on the artificial neural network ANN is 74.68%, and the accuracy of the building curtain wall section processing noise control method based on the genetic algorithm is 69.78%.
As shown in FIG. 2, the invention also provides a noise control system for processing the section bar of the building curtain wall, which is characterized by comprising
The noise waveform signal parameter real-time monitoring module is used for monitoring the noise waveform signal parameters of the building curtain wall profile in real time; preferably, the noise waveform signal parameter real-time monitoring module can adopt a multifunctional sound level meter and a small vibration measuring sensor based on an MEMS sensor, and can monitor the vibration generated by building curtain wall glass caused by noise generated in the processing process of the building curtain wall and sound wave signal parameters such as the amplitude, the frequency and the phase of a sine wave waveform vibration wave in real time with low power consumption.
The noise signal processing module is used for constructing a continuous noise propagation signal value calculation model, and carrying out self-adaptive tracking adjustment on the constructed continuous noise propagation signal value calculation model by adopting a self-adaptive tracking adjustment algorithm to obtain an accurate noise propagation signal value for processing the building curtain wall section; calculating the noise of the profile processing noise reflected into the environment after passing through the building curtain wall by adopting the adjusted accurate noise propagation signal value of the profile processing of the building curtain wall;
and the processing noise main control module is used for judging whether the noise reflected into the environment after the building curtain wall section bar is processed through the building curtain wall reaches an environment noise allowable threshold value or not and controlling to send out a processing instruction for stopping or starting the building curtain wall section bar.
The noise waveform signal parameter real-time monitoring module may be a PC (Personal Computer), or a terminal device such as a smart phone, a tablet Computer, and a portable Computer, or may be a server.
The noise signal processing module includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The noise signal processing module may be an internal storage unit of the building curtain wall profile machining noise control system in some embodiments, for example, a hard disk of the building curtain wall profile machining noise control system. The noise signal processing module may also be an external storage device of the building curtain wall profile machining noise control system in other embodiments, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are equipped on the building curtain wall profile machining noise control system. Further, the noise signal processing module can also comprise both an internal storage unit and an external storage device of the building curtain wall profile processing noise control system. The noise signal processing module can be used for storing application software and various data installed in a noise control system for processing the building curtain wall section bar, and can also be used for temporarily storing data which is output or to be output.
The process noise master control module may be, in some embodiments, a Central Processing Unit (CPU), controller, microcontroller, microprocessor or other data processing chip, including a monitoring unit for running program code stored in the noise signal processing module or processing data.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method 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, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
While the invention has been described with reference to a preferred embodiment, various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the features mentioned in the various embodiments can be combined in any way, as long as there is no conflict between the technical solutions. It is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (10)
1. The method for controlling the noise generated by processing the building curtain wall section is characterized by comprising the following steps of:
s1: monitoring the waveform signal parameters of the processing noise of the building curtain wall profile in real time, and constructing a continuous noise propagation signal value calculation model;
s2: adopting a self-adaptive tracking adjustment algorithm to perform self-adaptive tracking adjustment on the continuous noise propagation signal value calculated by the continuous noise propagation signal value calculation model constructed in the step S1 to obtain an accurate noise propagation signal value for processing the building curtain wall section;
s3: adopting the accurate noise propagation signal value of the building curtain wall profile obtained by the adjustment in the step S2, and calculating the noise of the profile processing noise reflected into the environment after passing through the building curtain wall;
s4: and judging whether the noise reflected into the environment after the building curtain wall section is processed through the building curtain wall reaches an environment noise allowable threshold value or not, stopping processing if the noise reaches the threshold value, and otherwise, repeating the steps S1-S3.
2. The method for controlling noise in processing the section bar of the building curtain wall as claimed in claim 1, wherein the continuous noise propagation signal value calculation model Y (k) constructed in the step S1 is as follows:
Y(k)＝X(k)+n(k)；
X(k)＝A(k)cos(Φ(k)k+ξ(k))；
wherein T (k) is a continuous noise propagation signal value calculation model with white Gaussian noise n (k) at the time k, X (k) is a continuous noise propagation real value model at the time k, A (k) is continuous noise real value amplitude at the time k, phi (k) is continuous noise real value frequency at the time k, and xi (k) is continuous noise real value phase at the time k,
3. the method for controlling noise in processing sectional materials for building curtain walls according to claim 2, wherein the step of S2 is performed with adaptive tracking adjustment on the continuous noise propagation signal value calculation model constructed in the step of S1 to obtain an accurate noise propagation signal value in processing sectional materials for building curtain walls, and the method comprises the following steps:
s21: according to the noise waveform signal parameters of the building curtain wall section bar processing obtained by the step S1 through real-time monitoring, a k moment noise waveform signal parameter characteristic matrix theta (k) ═ A (k) phi (k) xi (k) is constructed] T And constructing a prior estimation matrix of the k-time noise waveform signal parameter characteristic according to the k-1-time noise waveform signal parameter
wherein ,
for the prior estimation value of the real-valued amplitude of the continuous noise at the moment k according to the real-valued amplitude of the noise at the moment k-1,
for the prior estimation value of the k moment continuous noise real value frequency according to the k-1 moment noise real value frequency,
the prior estimation value of the k moment continuous noise real value phase according to the k-1 moment noise real value phase is obtained;
s22: according to the k-time noise waveform signal parameter feature matrix theta (k) and the k-time noise waveform signal parameter feature prior estimation matrix constructed in the step S21
The calculation model e of the amplitude and phase coupling deviation is constructed f (k) And frequency deviation calculation model e c (k)：
S23: calculating an amplitude and phase coupling deviation model e constructed according to the step S22 f (k) And frequency deviation calculation model e c (k) Construction of gradient vector matrix calculation model
S24: calculating the prior estimated value of the waveform parameter of the noise generated in the process of processing the section bar of the building curtain wall at the moment of k +1
wherein ,W-1 (k) Continuously optimizing and iterating the updated value of the prior estimated value to obtain the accurate calculated value Y of the noise propagation signal of the adaptive tracking adjusted section bar processing of the building curtain wall a (k)。
4. The method for controlling noise generated during the processing of a profile for a construction curtain wall as claimed in claim 3, wherein the gradient vector matrix calculation model in the step S23
The calculation formula of (a) is as follows:
5. the method for controlling noise generated by processing the section bar of the building curtain wall as claimed in claim 3, wherein the coefficient matrix W is updated and calculated in the step S24 -1 (k) The following were used:
6. the method for controlling the profile processing noise of the building curtain wall as claimed in claim 1, wherein the step of calculating the noise of the profile processing noise reflected into the environment after passing through the building curtain wall in the step of S3 comprises the following steps:
s31: real-time monitoring of real-time displacement m of noise incident point at noise incident glass curtain wall in x-axis direction of cubic glass unit a (k) And real-time displacement m in the y-axis direction b (k) Real-time x-axis local curvature gamma of noise incident point due to vibration caused by noise a (k) And real-time y-axis local curvature gamma for noise induced vibrations b (k) And constructing a k-time noise incident point glass plate real-time noise absorption calculation model S w (k)：
wherein ,
absorbing an effective weight coefficient for the noise of the glass plate, wherein n is the x-axis freedom degree of the vibration of the glass plate in a free natural mode, m is the y-axis freedom degree of the vibration of the glass plate in the free natural mode, E is the elastic modulus of the glass plate, J is the bending deformation coefficient of the glass plate, i is a complex unit, epsilon is a Poisson ratio, and q (k) is the difference of the normal vector displacement of a noise incidence point at the moment k, where the noise is incident to the glass curtain wall, in the thickness direction of the cubic glass unit;
s32: and calculating a model S of the real-time noise absorption amount of the glass plate at the k-time noise incident point constructed according to the step S31 w (k) And constructing a noise quantity calculation model S when the processing noise of the section reaches the glass curtain wall at the moment k ab (k)：
wherein ,Sa (k) Absorbing noise quantity, S, for air at time k a (k)＝ρ a c，ρ a Is the air density, c is the speed of sound propagation in air;
s33: constructed according to the step of S32Noise quantity calculation model S for k-time section processing noise reaching glass curtain wall ab (k) Calculating the noise S of the k-time section processing noise reflected into the environment through the building curtain wall e (k)：
S e (k)＝1-S ab (k)。
7. The method for controlling noise generated by processing a profile for a construction curtain wall as claimed in claim 6, wherein the effective weight coefficient for absorbing noise of the glass plate in the step S31
The following conditions are satisfied:
wherein Y (k) is a continuous noise propagation signal value with white Gaussian noise n (k) at time k, Y a (k) The accurate calculation value of the noise propagation signal is processed for the building curtain wall section.
8. The method for controlling the noise generated by processing the section bar of the building curtain wall as claimed in claim 6, wherein the difference q (k) between the normal vector displacements of the noise incident point of the glass curtain wall at the time k in the thickness direction of the cubic glass unit satisfies the following condition:
where ρ is the glass sheet density.
9. The method for controlling noise generated during the processing of a profile for a construction curtain wall according to claim 1, wherein the allowable threshold for ambient noise is 0 < S e (k)≤0.35，S e (k) The noise of the section bar processing at the moment k is reflected to the environment after passing through the building curtain wall.
10. The building curtain wall section processing noise control system is characterized by comprising a noise waveform signal parameter real-time monitoring module, a noise signal processing module and a processing noise control module;
the noise waveform signal parameter real-time monitoring module is used for monitoring the noise waveform signal parameters of the building curtain wall profile in real time;
the noise signal processing module is used for constructing a continuous noise propagation signal value calculation model, and performing self-adaptive tracking adjustment on the constructed continuous noise propagation signal value calculation model by adopting a self-adaptive tracking adjustment algorithm to obtain an accurate noise propagation signal value for processing the building curtain wall section; calculating the noise of the section bar processing noise reflected into the environment after passing through the building curtain wall by adopting the adjusted accurate noise propagation signal value of the section bar processing of the building curtain wall
And the processing noise main control module is used for judging whether the noise reflected into the environment after the building curtain wall section bar is processed through the building curtain wall reaches an environment noise allowable threshold value or not and controlling to send a processing instruction for stopping or starting the building curtain wall section bar.
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