CN114910556B - Method and system for controlling processing noise of building curtain wall section bar - Google Patents
Method and system for controlling processing noise of building curtain wall section bar Download PDFInfo
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Abstract
The invention provides a method and a system for controlling processing noise of a building curtain wall section bar, wherein the method comprises the following steps: monitoring the processing noise waveform signal parameters of the building curtain wall section bar in real time, and constructing a continuous noise propagation signal value calculation model; performing self-adaptive tracking adjustment on the obtained continuous noise propagation signal value to obtain an accurate construction curtain wall profile processing noise propagation signal value; calculating noise reflected to the environment after the section bar processing noise passes through the building curtain wall; judging whether the environmental noise allowable threshold is reached, if so, stopping processing, otherwise, repeating the steps. The method can effectively weaken the influence of Gaussian white noise on the obtained continuous noise waveform signal parameters in the process of monitoring the parameters in real time, further finally and 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 condition of endless shutdown or out-of-standard noise emission caused by error control instructions caused by calculation deviation of control instructions.
Description
Technical Field
The invention belongs to the technical field of noise pollution control in building processing, and particularly relates to a method and a system for controlling noise in building curtain wall section bar processing.
Background
The glass curtain wall gains the advantages of good indoor visual permeability, crystal and transparent glass panel, attractive and elegant appearance, earthquake resistance, wind resistance, good water tightness, air tightness, heat preservation, heat insulation, environmental protection, energy conservation and the like, is popular as the outer facade decoration of a building, is a remarkable expression characteristic of combining the modern aesthetics and the space art of a high-rise building, and is increasingly shown in various commercial buildings and public buildings.
However, in the processing process of the building curtain wall, operators and the glass curtain wall additionally installing and reforming process of the existing building body have noise influence on building curtain wall construction staff and staff or households in the building due to the cutting glass, welding, riveting, perforating, grooving or mortise and tenon processes in the combining process of the adopted glass profile and the building body.
In the prior art, chinese patent 201810891025.3 discloses a building site management software system including a noise monitoring unit with a weighted average method, where the smoke monitoring unit, the temperature monitoring unit, the humidity monitoring unit and the noise monitoring unit are used to collect and display smoke values, temperature values, humidity values and noise values of a building site, so as to further judge various environmental indexes of the building site, but a main control computer is typically connected with a terminal controller and does not judge whether the environmental allowable range parameters are met, so as to further control whether each processing device of the building site is started or stopped. In addition, chinese patent 202010355846.2 discloses a method and a system for determining that the noise emission of a construction site exceeds the standard, which are implemented by collecting the noise values (i.e., instantaneous sound levels) of noise monitoring points of the construction site in real time, measuring the shortest distances between the construction site and the noise monitoring points of different types of functional area surrounding the construction site, calculating the influence values of the construction site noise on the construction site buildings of different types around the construction site according to the instantaneous sound levels and the calculated shortest distances, calculating the continuous equivalent sound levels of the functional area buildings corresponding to the shortest distances in continuous time according to the different influence values, determining whether the continuous equivalent sound levels exceed the noise equivalent sound level limit value to determine whether the construction site noise exceeds the standard, and determining whether the noise equivalent sound levels exceed the standard of the construction site by defining the noise levels and determining whether the noise equivalent sound levels exceed the limit value only through different noise values and not carrying out denoising treatment on the collected noise parameters of the construction site and calculating the actual values reflected into the environment after being absorbed by the entity of the construction site.
Therefore, there is an urgent need for a noise control method and system that can monitor in real time whether noise reflected to the environment after being absorbed by a portion of building glass in a building curtain wall during a building curtain wall profile processing process exceeds an environmental allowable range, thereby controlling whether a building curtain wall profile processing device is started or stopped and improving judgment accuracy.
Disclosure of Invention
The invention provides a method and a system for controlling processing noise of a building curtain wall section bar aiming at the defects. The method can effectively weaken the influence of Gaussian white noise on the obtained continuous noise waveform signal parameters in the process of monitoring the parameters in real time, further finally and 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 condition of endless shutdown or out-of-standard noise emission caused by error control instructions caused by calculation deviation of control instructions.
The invention provides the following technical scheme: the method for controlling the processing noise of the building curtain wall section bar comprises the following steps:
s1: monitoring the processing noise waveform signal parameters of the building curtain wall section bar in real time, and constructing a continuous noise propagation signal value calculation model;
s2: adopting a self-adaptive tracking adjustment algorithm to carry out 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, so as to obtain an accurate construction curtain wall section processing noise propagation signal value;
s3: adopting the S2 step to adjust the obtained accurate construction curtain wall section bar processing noise propagation signal value, and calculating noise reflected to the environment after the section bar processing noise passes through the construction curtain wall;
s4: and judging whether noise reflected into the environment after the building curtain wall section is processed reaches an environmental noise allowable threshold, if so, stopping processing, otherwise, repeating the steps S1-S3.
Further, 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 moment k, X (k) is a continuous noise propagation real value model at the moment k, A (k) is a continuous noise real value amplitude at the moment k, phi (k) is a continuous noise real value frequency at the moment k, and xi (k) is a continuous noise real value phase at the moment k,
further, in the step S2, adaptive tracking adjustment is performed on the continuous noise propagation signal value calculation model constructed in the step S1, so as to obtain an accurate noise propagation signal value for processing the building curtain wall section bar, and the method comprises the following steps:
s21: constructing a k moment noise waveform signal parameter characteristic matrix theta (k) = [ A (k) phi (k) ζ (k) according to the construction curtain wall section processing noise waveform signal parameters obtained by the real-time monitoring in the step S1] T Constructing a k-moment noise waveform signal parameter prior estimation matrix according to the k-1 moment noise waveform signal parameters wherein ,/>For the continuous noise real value amplitude at k time instant, according to the a priori estimate of the noise real value amplitude at k-1 time instant +.>For the continuous noise real value frequency at k time according to the prior estimated value of the noise real value frequency at k-1 time,/>The real-value phase of continuous noise at the moment k is an priori estimated value of the real-value phase of the continuous noise at the moment k-1;
s22: the k moment noise waveform signal parameter characteristic matrix theta (k) constructed according to the S21 step and the k moment noise waveform signal parameter characteristic priori estimation matrixThe parameter in (2) is used for constructing an amplitude and phase coupling deviation calculation model e f (k) And frequency deviation calculation model e c (k)：
S23: an amplitude and phase coupling deviation calculation model e constructed according to the step S22 f (k) And frequency deviation calculation model e c (k) Constructing a gradient vector matrix calculation model
S24: calculating the prior estimated value updating value of the waveform parameter of the processing noise of the building curtain wall section at the moment k+1 wherein ,W-1 (k) To update the calculation coefficient matrix, continuously optimizing and iterating the prior estimated value update value to obtain an accurate calculation value Y of the construction curtain wall profile processing noise propagation signal after self-adaptive tracking adjustment a (k)。
Further, the gradient vector matrix calculation model in the step S23The calculation formula of (2) is as follows:
further, the updating in the step S24 calculates a coefficient matrix W -1 (k) The following are provided:
further, the step of calculating the noise reflected into the environment by the section bar processing noise after passing through the building curtain wall in the step S3 is as follows:
s31: real-time monitoring of real-time displacement m of noise incidence point at noise incidence glass curtain wall in x-axis direction of cube glass unit a (k) And real-time displacement m in y-axis direction b (k) Real-time x-axis local curvature gamma of noise incidence point vibration caused by noise a (k) And real-time y-axis local curvature gamma of noise-induced vibration b (k) Construction of a real-time noise absorption amount calculation model S of a glass plate at a noise incidence point at the moment k w (k)：
wherein ,for the effective weight coefficient of glass plate noise absorption, n is the x-axis degree of freedom of the glass plate vibration of the free natural mode, m is the y-axis degree of freedom of the glass plate vibration of 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, E is Poisson's ratio, q (k) is the difference of 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 cube glass unit;
s32: the real-time noise absorption amount calculation model S of the glass plate at the k moment noise incidence point constructed according to the step S31 w (k) Construction of a noise quantity calculation model S when k-moment section processing noise reaches a glass curtain wall ab (k)：
wherein ,Sa (k) Noise amount is absorbed for air at k time S a (k)＝ρ a c，ρ a For air density, c is the speed at which sound propagates in air;
s33: noise quantity calculation model S constructed according to S32 and when k-moment profile processing noise reaches glass curtain wall ab (k) Building curtain wall through which k-moment section bar processing noise is calculatedNoise S reflected back into the environment e (k)：
S e (k)＝1-S ab (k)。
Further, the glass plate noise absorption effective weight coefficient in the step S31The following conditions are satisfied:
wherein Y (k) is a continuous noise propagation signal value with Gaussian white noise n (k) at time k, Y a (k) And accurately calculating a noise propagation signal for the building curtain wall section bar processing.
Further, the difference q (k) between the normal vector displacement of the noise incidence point at the k-moment noise incidence glass curtain wall in the thickness direction of the cubic glass unit satisfies the following conditions:
where ρ is the glass plate density.
Further, the ambient noise allowable threshold is 0 < S e (k)≤0.35，S e (k) Noise generated by processing k-moment sectional materials is reflected to the environment after passing through a building curtain wall.
The invention also provides a system for controlling the processing noise of the building curtain wall section, which comprises 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 processing 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 construction curtain wall section processing noise propagation signal value; calculating noise reflected to environment after profile processing noise passes through building curtain wall by adopting accurate building curtain wall profile processing noise propagation signal value obtained through adjustment
The processing noise main control module is used for judging whether noise reflected into the environment after the processing of the building curtain wall section bar reaches an environmental noise allowable threshold value or not and controlling to send out a command for stopping or starting the processing of the building curtain wall section bar.
The beneficial effects of the invention are as follows:
1. according to the method for controlling the processing noise of the building curtain wall section bar, provided by the invention, the real-time monitoring module of the noise waveform signal parameters is used for monitoring the processing noise waveform signal parameters of the building curtain wall section bar in real time: amplitude, frequency, phase of sine wave waveform noise, and constructing a continuous noise propagation signal value calculation model Y (k) with Gaussian white noise n (k), and performing expansion expression of each parameter on a real continuous noise propagation signal value X (k): x (k) =a (k) cos (Φ (k) k+ζ (k)), by constructing a noise waveform signal parameter feature matrix θ (k) at the k-time and a k-time noise waveform signal parameter prior estimation matrix constructed from the noise waveform signal parameters at the k-1 timeThe deviation of the amplitude from the phase with respect to the true continuous noise propagation signal value X (k) due to the presence of gaussian white noise n (k) can be separately corrected: amplitude-to-phase coupling bias and bias with respect to frequency of the true continuous noise propagation signal value X (k): frequency deviation respectively constructing an amplitude and phase coupling deviation calculation model e f (k) And frequency deviation calculation model e c (k) The respective calculations are performed, and deviations of the respective parameters from the true continuous noise propagation signal value X (k) due to the presence of the gaussian white noise n (k) are decomposed.
2. The present invention decomposes the deviation of each parameter relative to the true continuous noise propagation signal value X (k) due to the existence of Gaussian white noise n (k), and then calculates the value e by using the amplitude and phase coupling deviation f (k) And frequency deviation calculated value e c (k) Matrix for estimating parameter characteristic priori of noise waveform signal at k moment respectivelyPerforming second derivative calculation, and multiplying the two second derivatives to obtain a gradient vector matrix calculation model ++>Thirdly, the prior estimated value of the real-value amplitude, the prior estimated value of the frequency and the prior estimated value of the phase of the k-moment continuous noise according to the real-value amplitude, the prior estimated value of the frequency and the prior estimated value of the phase of the k-moment continuous noise are obtained by estimating the parameter characteristics of the k-moment noise waveform signal according to the parameter prior of the k-1 moment noise waveform signal and />Constructing and updating a coefficient matrix W by using the prior estimated values of the parameters -1 (k) Computing a model by means of a gradient vector matrix>And updating the calculation coefficient matrix W -1 (k) Calculated value e of the coupling deviation from amplitude and phase f (k) And frequency deviation calculated value e c (k) The formed 2X 1 parameter deviation matrix +.>Multiplying, updating the deviation of each parameter relative to the real continuous noise propagation signal value X (k), and subtracting the updated deviation value by each parameter prior estimation matrix to obtain the prior estimated value of the building curtain wall section processing noise waveform at the moment k+1The prior estimated values of all parameters of the building curtain wall profile processing noise waveform are updated and iterated and optimized continuously, so that deviations of continuous noise real value amplitude, frequency and phase parameters obtained through decomposition can be reduced continuously, and finally, the self-adaption is obtainedAccurate calculated value Y of construction curtain wall profile processing noise propagation signal after tracking and adjusting a (k) The influence of Gaussian white noise on the obtained continuous noise waveform signal parameters in the process of monitoring the parameters in real time can be effectively reduced, 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 are finally and effectively improved, and the problem that the control instruction is wrong due to calculation deviation, the construction period is delayed due to endless shutdown or the environment noise exceeding standard emission caused by no shutdown exceeding the actual environment allowable noise threshold is avoided.
3. The invention utilizes the self-adaptive adjustment and tracking to accurately calculate the value Y of the noise propagation signal processed by the building curtain wall section bar a (k) The glass plate noise absorption effective weight coefficient is constructed by comparing the continuous noise propagation signal value Y (k) with Gaussian white noise n (k) at the moment kAnd by constructing a cube glass plate unit of the glass where the noise incidence point is processed by the building curtain wall section bar, and monitoring the vibration displacement normal vector of the noise incidence reflection is q (k) and the real-time displacement m in the x-axis direction in the building curtain wall section bar processing process in real time a (k) And real-time displacement m in y-axis direction b (k) Real-time x-axis local curvature gamma of noise incidence point vibration caused by noise a (k) And real-time y-axis local curvature gamma of noise-induced vibration b (k) Construction of a real-time noise absorption amount calculation model S of a glass plate at a noise incidence point at the moment k w (k) Further effectively calculating the noise absorption amount S of the cube glass unit where the noise incidence point is caused by the real continuous noise propagation signal value, and then calculating the absorption amount S of the noise in the air a (k) Construction of a noise quantity calculation model S when k-moment section processing noise reaches a glass curtain wall ab (k) And finally obtaining noise S of the k-moment section processing noise reflected to the environment after passing through the building curtain wall e (k) Judging whether the noise exceeds the environmental noise allowable threshold, if so, stopping the operation, and if not, continuing to process the noise wave of the real-time building curtain wall section barThe shape signal parameters are monitored, so that the influence of noise brought in the process of processing the profile of the building curtain wall on the environment is effectively controlled, the influence is controlled within the environment allowable range, and the environmental health of workers and living persons in buildings such as building workers, office buildings or residential buildings is guaranteed.
4. The invention pre-processes the collected signals, reduces white noise doped in the signals, and obtains real vibration signals 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 the processing noise of a building curtain wall section bar provided by the invention;
fig. 2 is a side view of a construction noise control system for processing a construction curtain wall profile provided by the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the method for controlling the processing noise of the building curtain wall section bar provided by the invention comprises the following steps:
s1: monitoring the processing noise waveform signal parameters of the building curtain wall section bar in real time, and constructing a continuous noise propagation signal value calculation model;
s2: adopting a self-adaptive tracking adjustment algorithm to carry out 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, so as to obtain an accurate construction curtain wall section processing noise propagation signal value;
s3: s2, adjusting the obtained accurate construction curtain wall section bar processing noise propagation signal value, and calculating noise reflected to the environment after the section bar processing noise passes through the construction curtain wall;
s4: and judging whether noise reflected into the environment after the building curtain wall section is processed reaches an environmental noise allowable threshold, if so, stopping processing, otherwise, repeating the steps S1-S3.
Wherein, 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 moment k, X (k) is a continuous noise propagation real value model at the moment k, namely a continuous noise propagation signal waveform at the moment k, which is a sine wave waveform, A (k) is a continuous noise real value amplitude at the moment k, phi (k) is a continuous noise real value frequency at the moment k, and xi (k) is a continuous noise real value phase at the moment k,i.e. gaussian white noise n (k) corresponds to 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, so as to obtain an accurate construction curtain wall section processing noise propagation signal value, and the method comprises the following steps:
s21: according to the noise waveform signal parameters of the building curtain wall section processed by the real-time monitoring in the step S1, constructing a k moment noise waveform signal parameter characteristic matrix theta (k) = [ A (k) phi (k) xi (k)] T Constructing a k-moment noise waveform signal parameter prior estimation matrix according to the k-1 moment noise waveform signal parameters wherein ,/>For the continuous noise real value amplitude at k time instant, according to the a priori estimate of the noise real value amplitude at k-1 time instant +.>At time kThe continuous noise real value frequency is estimated according to the prior value of the noise real value frequency at the moment k-1, +.>The real-value phase of continuous noise at the moment k is an priori estimated value of the real-value phase of the continuous noise at the moment k-1;
s22: k-moment noise waveform signal parameter feature matrix theta (k) constructed according to S21 step and k-moment noise waveform signal parameter feature priori estimation matrixThe parameter in (2) is used for constructing an amplitude and phase coupling deviation calculation model e f (k) And frequency deviation calculation model e c (k)：
S23: the amplitude and phase coupling deviation calculation model e constructed according to the step S22 f (k) And frequency deviation calculation model e c (k) Constructing a gradient vector matrix calculation model
For a pair of and />Respectively expanding to obtain a gradient vector matrix calculation model +.>The calculation formula of (2) is as follows:
s24: calculating the prior estimated value updating value of the waveform parameter of the processing noise of the building curtain wall section at the moment k+1 wherein ,W-1 (k) To update the calculated coefficient matrix, the calculated coefficient matrix W is updated -1 (k) The following are provided:
continuously optimizing and iterating the prior estimated value updating value to obtain an accurate calculated value Y of the building curtain wall profile processing noise propagation signal after self-adaptive tracking and adjustment a (k)。
As a preferred embodiment of the present invention, in order to monitor noise generated during the processing of a building curtain wall profile, a portion of the glass processing absorbed by the building curtain wall profile-glass, the noise reflected into the environment after the processing noise of the profile is reflected through the building curtain wall in step S3 is calculated by the following steps:
the noise can cause the up-and-down elastic bending of the fluctuation range q (k) at the noise incidence point of the glass curtain wall, namely the distance between the highest point of upward elastic bending and the lowest point of downward elastic bending of the glass plate relative to the horizontal glass plate in the absence of noise vibration is q (k), namely the normal vector of vibration displacement of the cube 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 caused by noise incidence in the x-axis direction of the cube glass unit is m a The displacement in the y-axis direction is m b The difference between the displacement of the normal vector in the thickness direction is q (k).
S31: real-time monitoring of real-time displacement m of noise incidence point at noise incidence glass curtain wall in x-axis direction of cube glass unit a (k) And real-time displacement m in y-axis direction b (k) Due to the incidence point of noiseReal-time x-axis local curvature gamma of noise-induced vibration a (k) And real-time y-axis local curvature gamma of noise-induced vibration b (k) Construction of a real-time noise absorption amount calculation model S of a glass plate at a noise incidence point at the moment k w (k)：
wherein ,for the effective weight coefficient of glass plate noise absorption, n is the x-axis degree of freedom of the glass plate vibration of the free natural mode, m is the y-axis degree of freedom of the glass plate vibration of 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, E is Poisson's ratio, q (k) is the difference of 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 cube glass unit;
S w (k) =Δp (k)/v (k), v (k) is the vibration rate of the glass curtain wall caused by noise at time k, Δp (k) = (p) i (k)+p r (k))-p t (k)，p i (k) The noise incident sound pressure of the noise incident point at the k moment, p r (k) The noise reflection sound pressure is the noise incidence point noise at the moment k, p t (k) The noise transmission sound pressure, which is the noise incident point at the k time, that is,
s32: real-time noise absorption amount calculation model S of k-moment noise incidence point glass plate constructed according to S31 w (k) Construction of a noise quantity calculation model S when k-moment section processing noise reaches a glass curtain wall ab (k)：
wherein ,Sa (k) Is thatAir absorption noise amount at time k, S a (k)＝ρ a c，ρ a For air density, c is the speed at which sound propagates in air;
s33: noise quantity calculation model S constructed according to S32 and when k-moment profile processing noise reaches glass curtain wall ab (k) Calculating noise S of k-moment profile processing noise reflected to environment after passing through building curtain wall e (k)：
S e (k)＝1-S ab (k)。
As a preferred embodiment of the present invention, the glass plate noise absorption effective weight coefficient in the S31 stepThe following conditions are satisfied:
wherein Y (k) is a continuous noise propagation signal value with Gaussian white noise n (k) at time k, Y a (k) And accurately calculating a noise propagation signal for the building curtain wall section bar processing.
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 moment k in the thickness direction of the cubic glass unit satisfies the following condition:
where ρ is the glass plate density.
As another preferred embodiment of the present invention, in the step S4 of the above method, the ambient noise allowable threshold is 0 < S e (k)≤0.35，S e (k) For the noise that k moment section bar processing noise reflects to the environment after building curtain, if this environment noise allowed threshold range is not exceeded, processing noise master control module in control system can not send out the instruction of stopping work to section bar processing equipment, if this environment noise allowed threshold range is exceeded, controlAnd a processing noise main control module in the system sends a stop working 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 construction curtain wall profile processing noise propagation parameter obtained by real-time monitoring to the noise S in the environment of the k-time profile processing noise obtained by forced learning and reflected to the environment after passing through the construction curtain wall e (k) In the calculation model, the monitoring accuracy of the method for controlling the processing noise of the building curtain wall section bar provided by the invention is 87.23%, the accuracy of the method for controlling the processing noise of the building curtain wall section bar based on the artificial neural network ANN is 74.68%, and the accuracy of the method for controlling the processing noise of the building curtain wall section bar based on the genetic algorithm is 69.78%, so that the method for controlling the processing noise of the building curtain wall section bar provided by the invention has higher accuracy.
As shown in FIG. 2, the invention also provides a noise control system for processing the building curtain wall profile, which is characterized by comprising
The real-time monitoring module of the noise waveform signal parameter is used for monitoring the processing noise waveform signal parameter of the building curtain wall section bar 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 vibration generated by building curtain wall glass caused by noise generated in the building curtain wall processing process in real time with low power consumption, and the vibration wave signal parameters such as amplitude, frequency and phase of a vibration wave of a sine wave waveform.
The noise signal processing module is used for constructing a continuous noise propagation signal value calculation model, and adopting a self-adaptive tracking adjustment algorithm to perform self-adaptive tracking adjustment on the constructed continuous noise propagation signal value calculation model to obtain an accurate building curtain wall section processing noise propagation signal value; calculating noise reflected to the environment after profile processing noise passes through the building curtain wall by adopting the adjusted accurate building curtain wall profile processing noise propagation signal value;
and the processing noise main control module is used for judging whether noise reflected into the environment after the building curtain wall profile is processed reaches an environmental noise allowable threshold value or not, and controlling to send out a command for stopping or starting the processing of the building curtain wall profile.
The noise waveform signal parameter real-time monitoring module can be a PC (Personal Computer ), or a terminal device such as a smart phone, a tablet personal computer, a portable computer, or a server.
The noise signal processing module comprises at least one type of readable storage medium including flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The noise signal processing module may in some embodiments be an internal memory unit of a building curtain wall profile machining noise control system, such as 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 architectural curtain wall profile processing 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 Card (Flash Card) and the like, which are provided on the architectural curtain wall profile processing noise control system. Further, the noise signal processing module may also include both an internal memory unit and an external memory device of the architectural curtain wall profile machining noise control system. The noise signal processing module not only can be used for storing application software and various data installed in a building curtain wall profile processing noise control system, but also can be used for temporarily storing data which are output or are to be output.
The process noise master control module may in some embodiments be a Central processing unit (Central ProcessingUnit, CPU), controller, microcontroller, microprocessor or other data processing chip, including a monitoring unit for running program code or process data stored in the noise signal processing module.
It should be noted that, the foregoing reference numerals of the embodiments of the present invention are merely for describing the embodiments, and do not represent the advantages and disadvantages 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 one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no conflict in the technical solutions. It is intended that the invention not be limited to the particular embodiments disclosed herein, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (4)
1. The method for controlling the processing noise of the building curtain wall section bar is characterized by comprising the following steps of:
s1: monitoring the processing noise waveform signal parameters of the building curtain wall section bar in real time, and constructing a continuous noise propagation signal value calculation model;
s2: adopting a self-adaptive tracking adjustment algorithm to carry out 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, so as to obtain an accurate construction curtain wall section processing noise propagation signal value;
s3: adopting the S2 step to adjust the obtained accurate construction curtain wall section bar processing noise propagation signal value, and calculating noise reflected to the environment after the section bar processing noise passes through the construction curtain wall;
s4: judging whether noise reflected into the environment after the building curtain wall section is processed reaches an environmental noise allowable threshold, if so, stopping processing, otherwise, repeating the steps S1-S3;
the continuous noise propagation signal value calculation model constructed in the step S1The following are provided:
；
；
wherein ,with gaussian white noise +.>Is a continuous noise propagation signal value calculation model, +.>For k moment continuous noise propagation real value model, < >>For k moment continuous noise real value amplitude +.>For k moment continuous noise real value frequency, +.>For k moment continuous noise real value phase, +.>，/>，/>；
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, so as to obtain an accurate construction curtain wall section bar processing noise propagation signal value, 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 real-time monitoring in the step S1, constructing a k moment noise waveform signal parameter feature matrixConstructing a k-moment noise waveform signal parameter prior estimation matrix according to the k-1 moment noise waveform signal parameters, wherein ,/>For the continuous noise real value amplitude at k time instant, according to the a priori estimate of the noise real value amplitude at k-1 time instant +.>Continuous noise at time kThe real value frequency is based on a priori estimate of the real value frequency of the noise at time k-1 +.>The real-value phase of continuous noise at the moment k is an priori estimated value of the real-value phase of the continuous noise at the moment k-1;
s22: the k moment noise waveform signal parameter characteristic matrix constructed according to the step S21And k moment noise waveform signal parameter prior estimation matrix>In (a) constructing an amplitude and phase coupling deviation calculation model +.>And frequency deviation calculation model->：
；
；
S23: an amplitude and phase coupling deviation calculation model constructed according to the step S22And frequency deviation calculation model->Constructing a gradient vector matrix calculation model>：
S24: calculating the prior estimated value updating value of the waveform parameter of the processing noise of the building curtain wall section at the moment k+1, wherein ,/>For updating the calculation coefficient matrix, continuously optimizing and iterating the prior estimated value updating value to obtain the accurate calculated value of the construction curtain wall profile processing noise propagation signal after self-adaptive tracking adjustment>；
The gradient vector matrix calculation model in the step S23The calculation formula of (2) is as follows:
；
the update in the step S24 calculates coefficient matrixThe following are provided:
；
and S3, the step of calculating noise reflected into the environment after the section bar processing noise passes through the building curtain wall is as follows:
s31: real-time monitoring of real-time displacement of noise incidence point at noise incidence glass curtain wall in x-axis direction of cube glass unitAnd real-time displacement in the y-axis direction +.>Real-time x-axis local curvature of noise incident point due to noise-induced vibrationAnd real-time y-axis local curvature +.>Constructing a k-moment noise incidence point glass plate real-time noise absorption amount calculation model>：
wherein ,effective weighting coefficients for glass plate noise absorption,nthe x-axis degree of freedom of the glass plate vibration which is a free natural mode,mthe y-axis degree of freedom of the vibration of the glass plate in the free natural mode,Eis the modulus of elasticity of the glass sheet,Jis the bending deformation coefficient of the glass plate,iis a complex unit of->Poisson's ratio->The difference of normal vector displacement of a noise incidence point at the glass curtain wall of the noise incidence glass at the moment k in the thickness direction of the cube glass unit;
s32: real-time noise absorption amount calculation model of glass plate at k moment of noise incidence point constructed according to the step S31Constructing a noise quantity calculation model when k-moment profile processing noise reaches a glass curtain wall>：
wherein ,air absorption noise quantity at time k +.>，/>For air density, c is the speed at which sound propagates in air;
s33: noise quantity calculation model constructed according to S32 and used when k-moment section processing noise reaches glass curtain wallCalculating noise +.f. of k moment section bar processing noise reflected to environment after passing through building curtain wall>：
；
The effective weight coefficient of the noise absorption of the glass plate in the step S31The following conditions are satisfied:
；
wherein ,with Gaussian white noise +.>Continuous noise propagation signal value of>And accurately calculating a noise propagation signal for the building curtain wall section bar processing.
2. The method for controlling noise in processing building curtain wall profiles according to claim 1, wherein the difference between normal vector displacement of noise incidence points at the k-time noise incidence glass curtain wall in the thickness direction of the cubic glass unitThe following conditions are satisfied:
wherein ,ρis the density of the glass plate.
3. The method for controlling the processing noise of the building curtain wall profile according to claim 1, wherein the environmental noise allowable threshold is 0 <≤0.35，/>Noise generated by processing k-moment sectional materials is reflected to the environment after passing through a building curtain wall.
4. A building curtain wall profile machining noise control system adopting the method as claimed in any one of claims 1 to 3, which is characterized by comprising a noise waveform signal parameter real-time monitoring module, a noise signal processing module and a machining 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 processing 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 construction curtain wall section processing noise propagation signal value; calculating noise reflected to environment after profile processing noise passes through building curtain wall by adopting accurate building curtain wall profile processing noise propagation signal value obtained through adjustment
The processing noise main control module is used for judging whether noise reflected into the environment after the processing of the building curtain wall section bar reaches an environmental noise allowable threshold value or not and controlling to send out a command for stopping or starting the processing of the building curtain wall section bar.
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