CN113516449B - Information processing method and device for reducing building noise - Google Patents
Information processing method and device for reducing building noise Download PDFInfo
- Publication number
- CN113516449B CN113516449B CN202110731242.8A CN202110731242A CN113516449B CN 113516449 B CN113516449 B CN 113516449B CN 202110731242 A CN202110731242 A CN 202110731242A CN 113516449 B CN113516449 B CN 113516449B
- Authority
- CN
- China
- Prior art keywords
- information
- noise
- obtaining
- user
- construction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 27
- 238000003672 processing method Methods 0.000 title claims abstract description 19
- 238000010276 construction Methods 0.000 claims abstract description 95
- 238000000034 method Methods 0.000 claims abstract description 25
- 230000009471 action Effects 0.000 claims abstract description 8
- 238000012549 training Methods 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 9
- 239000012533 medium component Substances 0.000 claims description 9
- 238000012423 maintenance Methods 0.000 description 15
- 230000000694 effects Effects 0.000 description 14
- 238000013528 artificial neural network Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 9
- 238000011161 development Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 238000003062 neural network model Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 230000004075 alteration Effects 0.000 description 2
- 239000000306 component Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000009440 infrastructure construction Methods 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000002238 attenuated effect Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 230000003925 brain function Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000013028 medium composition Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
Abstract
The invention discloses an information processing method and device for reducing building noise, wherein the method comprises the following steps: obtaining a first construction noise source; obtaining volume information of the first building noise source; obtaining location information of the first construction noise source; obtaining a preset area according to the volume information of the first building noise source and the position information; acquiring first user information in the preset area; obtaining the information of the action and rest laws of the first user information; grading the volume information of the first building noise source according to the volume, and obtaining a first noise level and a second noise level; and respectively obtaining the first construction time information of the first noise level and the second construction time information of the second noise level according to the work and rest rule information of the first user information. The technical problem that construction noise affects the work, study and life of people during construction is solved.
Description
Technical Field
The present invention relates to the field of noise processing technologies, and in particular, to an information processing method and apparatus for reducing building noise.
Background
In recent years, with the continuous increase of the dynamics of infrastructure construction, real estate development and old city transformation, the modern development of cities is greatly promoted, the development level of cities is improved, and opportunities are provided for personal development.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
the problem of environmental noise pollution on the construction site is increasingly outstanding, and the normal life of nearby residents is seriously influenced.
Disclosure of Invention
According to the information processing method and device for reducing the construction noise, the technical problem that the construction noise affects the work, the study and the life of people during construction is solved, the noise during construction is controlled or weakened, and further the technical effect that the work, the life and the study of people are not affected is achieved.
The embodiment of the application provides an information processing method for reducing building noise, wherein the method further comprises the following steps: obtaining a first construction noise source; obtaining volume information of the first building noise source; obtaining location information of the first construction noise source; obtaining a preset area according to the volume information of the first building noise source and the position information; acquiring first user information in the preset area; obtaining the information of the action and rest laws of the first user information; grading the volume information of the first building noise source according to the volume, and obtaining a first noise level and a second noise level; and respectively obtaining the first construction time information of the first noise level and the second construction time information of the second noise level according to the work and rest rule information of the first user information.
In another aspect, the present application also provides an information processing apparatus for reducing construction noise, wherein the apparatus includes: a first obtaining unit: the first obtaining unit is used for obtaining a first building noise source; a second obtaining unit: the second obtaining unit is used for obtaining volume information of the first building noise source; a third obtaining unit: the third obtaining unit is used for obtaining the position information of the first building noise source; fourth obtaining unit: the fourth obtaining unit is used for obtaining a preset area according to the volume information of the first building noise source and the position information; fifth obtaining unit: the fifth obtaining unit is configured to obtain first user information in the predetermined area; sixth obtaining unit: the sixth obtaining unit is used for obtaining the information of the action and rest laws of the first user information; a first dividing unit: the first dividing unit is used for carrying out grade division on the volume information of the first building noise source according to the volume size to obtain a first noise grade and a second noise grade; seventh obtaining unit: the seventh obtaining unit is configured to obtain first construction time information of the first noise level and second construction time information of the second noise level according to the information of the work and rest law of the first user information, respectively.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
through obtaining the noise volume size of job site, and then according to noise volume size different grades, be first noise level, second noise level etc. respectively, and then according to different noise level matching different engineering time, reached and effectively avoided the normal work of user to study the time and be under construction, and then reduced the technical effect that the construction noise produced the influence to the user.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a flow chart of an information processing method for reducing building noise according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an information processing apparatus for reducing construction noise according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a first dividing unit 17, a seventh obtaining unit 18, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
According to the information processing method and device for reducing the construction noise, the technical problem that the construction noise affects the work, the study and the life of people during construction is solved, the noise during construction is controlled or weakened, and further the technical effect that the work, the life and the study of people are not affected is achieved.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Summary of the application
In recent years, with the continuous increase of the dynamics of infrastructure construction, real estate development and old city transformation, the modern development of cities is greatly promoted, the development level of cities is improved, and opportunities are provided for personal development. The problem of environmental noise pollution on the construction site is increasingly outstanding, and the normal life of nearby residents is seriously influenced.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the embodiment of the application provides an information processing method for reducing building noise, wherein the method further comprises the following steps: obtaining a first construction noise source; obtaining volume information of the first building noise source; obtaining location information of the first construction noise source; obtaining a preset area according to the volume information of the first building noise source and the position information; acquiring first user information in the preset area; obtaining the information of the action and rest laws of the first user information; grading the volume information of the first building noise source according to the volume, and obtaining a first noise level and a second noise level; and respectively obtaining the first construction time information of the first noise level and the second construction time information of the second noise level according to the work and rest rule information of the first user information.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Example 1
As shown in fig. 1, an embodiment of the present application provides an information processing method for reducing building noise, where the method further includes:
step S100: obtaining a first construction noise source;
specifically, the first construction noise source is a source of noise generated during the first construction, and may be further understood as assembly noise during assembly of the fitting, welding noise during fixing of the fitting, and the like, which are not particularly limited herein.
Step S200: obtaining volume information of the first building noise source;
specifically, the volume information of the first building noise source is volume information of noise generated during construction of the first building, and the volume information of the first building noise source can have a certain influence on work, study and life of nearby residents.
Step S300: obtaining location information of the first construction noise source;
specifically, the position information of the first construction noise source is specific position information at the time of the first construction operation where noise is generated, and the influence of the noise generation can be further determined by determining that the position information is around a residential area, business district, school, or the like.
Step S400: obtaining a preset area according to the volume information of the first building noise source and the position information;
specifically, the predetermined area is a peripheral area of the first construction noise source, the determination can be made based on the sound volume information and the position information of the first construction noise source, and the noise influence generated during the construction can be further determined by obtaining the predetermined area.
Step S500: acquiring first user information in the preset area;
specifically, the first user information is user information of a predetermined area generated by the noise source, and it is further understood that when the predetermined area is a residential area, the first user information is a community resident, and when the predetermined area is a business district, the first user information is a office worker or the like.
Step S600: obtaining the information of the action and rest laws of the first user information;
specifically, the rest time and other non-rest time of the first user information may be further understood that when the first user is a office worker, the rest time is a normal general office time, a normal rest time, and the like.
Step S700: grading the volume information of the first building noise source according to the volume, and obtaining a first noise level and a second noise level;
specifically, the first noise level and the second noise level are divided according to the volume of the noise, the first noise level can be understood as the generated noise with larger volume, the second noise level is generated with smaller volume, and then different construction times are matched according to different noise levels, so that the influence of the noise is reduced to the minimum.
Step S800: and respectively obtaining the first construction time information of the first noise level and the second construction time information of the second noise level according to the work and rest rule information of the first user information.
Specifically, the first construction time information can be understood as the work and rest time of a combined user, the construction time of the first noise level is the same as the first construction time information is the construction time of the second noise level, and further can be understood as the first user is a residential user, the influence of noise is smaller when the user is at home in daytime to carry out leisure activities, the first construction time information can be used for carrying out the construction of the first noise level, the corresponding time is the first construction time, the influence of noise is larger when the user needs to rest in the evening, the second construction time information can be used for carrying out the construction of the second noise level, and the technical effect of effectively avoiding the influence of noise generated by construction on the life of the user is achieved by matching the construction time according to the work and rest time of the user.
The step S400 further includes:
step S410: inputting the volume information and the position information into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of the multiple sets of training data comprises: volume information and the position information and identification information identifying a predetermined area;
step S420: obtaining a first output result of the first training model, wherein the first output result comprises the preset area.
Specifically, the output training result can be more accurate by inputting the volume information and the position information into the first training model to train continuously. The training model is a Neural network model, namely a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by a large number of simple processing units (called neurons) widely connected with each other, reflects many basic characteristics of brain functions of a human, and is a highly complex nonlinear power learning system. The neural network model is described based on a mathematical model of neurons. An artificial neural network (Artificial Neural Networks) is a description of the first order nature of the human brain system. In brief, it is a mathematical model. In the embodiment of the application, the volume information and the position information are input into a first training model, and the neural network model is trained by using the identified preset area information.
Further, the process of training the neural network model is essentially a process of supervised learning. The plurality of sets of training data specifically comprises: volume information and the position information and identification information identifying a predetermined area. The neural network model outputs the preset area by inputting the volume information and the position information, the output information is verified with the preset area information with the identification function, and if the output information is consistent with the preset area information with the identification function, the data supervision learning is completed, and the next group of data supervision learning is performed; and if the output information is inconsistent with the requirement of the preset area information with the identification function, the neural network learning model adjusts itself until the output result of the neural network learning model is consistent with the requirement of the preset area information with the identification function, and then supervised learning of the next group of data is performed. The neural network learning model is continuously corrected and optimized through training data, the accuracy of the neural network learning model for processing the information is improved through the process of supervised learning, and further the technical effect that the information of the preset area is more accurate is achieved.
The step S600 further includes:
step S610: obtaining the position information of the first user;
step S620: judging whether the position information is a residential area according to the position information of the first user;
step S630: if the location information is a residential area, obtaining age information of a first user;
step S640: if the location information is not a residential area, judging whether the location information is an office area;
step S650: and if the position information is an office area, obtaining first work and rest rule information.
Specifically, the information of the first user information about the work and rest law is needed to be obtained, the information of the first user can be obtained first, the information of the first user is the information of the first user, whether the information of the first user is the residence area is judged, namely whether the first user is resident in the residence area is judged, if the information of the first user is the residence area, age information of the first user is obtained, the age information is related to the information of the work and rest law, when the age of the first user is relatively large, the work and rest time is relatively regular, when the age of the first user is relatively small, the work and rest time is relatively flexible, in addition, if the information of the first user is not the residence area, whether the information of the first user is the office area is judged, if the information of the first user is the office area, the first work and rest law information is the information of the office area, the general office area is on the friday to friday, the work and rest is carried out on the friday, the special office area is not the work and rest law, the corresponding time is not set, and the time is not reasonably adjusted according to the work and rest law, and the corresponding time is not suitable for the user, and the noise is reasonably achieved.
If the location information is a residential area, after obtaining the age information of the first user, step S630 further includes:
step S631: obtaining a predetermined age threshold;
step S632: judging whether the age information of the first user exceeds the preset age threshold value or not;
step S633: if the age information of the first user exceeds the preset age threshold value, second work and rest rule information is obtained;
step S634: and if the age information of the first user does not exceed the preset age threshold value, obtaining third information of the work and rest.
In particular, after obtaining the age information of the first user, a predetermined age threshold may also be obtained, which is a set one of the age limits, herein understood as working retirement age, current legal retirement age: the male is 60 years old, the female is 55 years old, and then whether the age information of the first user exceeds the preset age threshold value is judged, namely whether the age information of the first user exceeds legal retirement age, if the age information of the first user exceeds the preset age threshold value, namely the first user is retired, second work and rest rule information is obtained, the second work and rest rule is work and rest rule after the first user is retired, if the age information of the first user does not exceed the preset age threshold value, namely the first user is not retired yet, normal work and rest rule information is obtained, and the third work and rest rule is work and rest rule of the first user which is normally work and rest is performed, and due to the fact that the difference of the work and rest rule of the first user is different, the corresponding construction time can be matched according to actual conditions, so that scientific and reasonable construction time is achieved, and the technical effect of reducing influence of construction noise on the user is achieved.
In order to further determine the influence of noise on the user, the embodiment of the application further includes:
step S910: obtaining the position information of the first user;
step S920: obtaining distance information between the first user and the first construction noise source according to the position information of the first user and the position information of the first construction noise source;
step S930: according to the distance information, first noise attenuation degree information is obtained;
step S940: and adjusting the first noise level and/or the second noise level according to the first noise attenuation degree information.
Specifically, in order to further judge the influence of noise on the user, the position information of the first user can be obtained, namely, the position of the first user is located, further, according to the position information of the first user and the position information of the first building noise source, the distance information of the first user and the first building noise source is obtained, because the noise can be attenuated in the transmission process, according to the distance information, the first noise attenuation degree information is obtained, when the distance is far, the attenuation degree is also larger, when the distance is near, the attenuation degree is smaller, then when the noise is transmitted from the noise source to the first user, the noise received by the first user and the noise of the noise source are not generally large, further, according to the first noise attenuation degree information, the first noise level, the second noise level and the first noise level and the second noise level are regulated, it is required to be clear, the attenuation degree information is obtained in the noise transmission process, when the distance is far, the noise level is more than the noise is received by the user, the noise level is reasonably reduced according to the sound volume, the noise level is further, the noise is further reduced according to the sound volume of the user, and the noise level is reasonably reduced, and the noise level is further, the noise level is not influenced by the sound level is further, and the sound level is more than the sound level.
In order to determine the effect of height on the attenuation level in the noise propagation process, embodiments of the present application further include:
step S1010: acquiring the height information of the first building noise source according to the position information of the first building noise source;
step S1020: obtaining noise propagation medium component information according to the height information;
step S1030: obtaining second noise attenuation degree information according to the noise propagation medium component information;
step S1040: and adjusting the first noise level and/or the second noise level according to the second noise attenuation degree information.
Specifically, when sound propagates in air, the sound is affected by the atmospheric temperature and the density respectively, so that the noise is also affected by the two factors in the propagation process, the height information of the first building noise source can be obtained according to the position information of the first building noise source, the height information is the height information of the first building noise source, the noise propagation medium component information is obtained according to the height information, the noise propagation medium component information is the atmospheric component information with a relative height, and further, the second noise attenuation degree information is obtained according to the noise propagation medium component information, the second noise attenuation degree information is the influence of the components of the propagation medium on the attenuation degree, specifically, when the noise source of the first building is higher, the surrounding air is thinner than the ground air, the gas density is smaller, the noise propagation speed is relatively slower, the noise attenuation degree is higher, the noise attenuation degree in the noise propagation process is adjusted according to the second noise attenuation degree information, the noise level, the first noise level and the first noise level are reasonably arranged, and the noise level is reasonably influenced by the sound level, and the sound level is reasonably measured.
The step S1040 further includes:
wherein,information about the second degree of noise attenuation;
for the first noise level and/or the second noise level;
for the adjusted first noise level and/or the second noise level;
is constant.
Specifically, to scientifically and reasonably adjust the first noise level and/or the second noise level, the first noise level and/or the second noise level may be adjusted according to the formula
An adjustment is made, wherein,for said second noise attenuation level information, < > and>for the first noise level and/or the second noise level, +.>For the first noise level and/or the second noise level after adjustment,/->The second noise attenuation degree information is known as a constant, and the adjusted first noise level and/or second noise level can be obtained according to formula calculation, so that the technical effect of scientifically and reasonably adjusting the first noise level and/or the second noise level is achieved.
In order to further reduce the influence of building noise, the embodiment of the application further comprises:
obtaining the operation condition of the first mechanical equipment;
judging whether the operation condition meets a preset operation threshold value or not;
if the operation condition does not meet the preset operation threshold, obtaining first maintenance time of the first mechanical equipment, wherein the first maintenance time is the one-time maintenance time closest to the current time;
judging whether the first maintenance time meets a preset maintenance time threshold value or not;
if the first maintenance time does not meet the preset maintenance time threshold, a first maintenance instruction is obtained;
and maintaining the first mechanical equipment according to the first maintenance instruction.
Specifically, in order to further reduce the influence of construction noise, the on-time maintenance of various mechanical equipment can be ensured, overload or running with diseases can be prevented, and further abnormal noise can be avoided. The method comprises the steps of obtaining the operation condition of first mechanical equipment, wherein the first mechanical equipment is equipment such as a stirrer and an electric saw used for construction, judging whether the operation condition meets a preset operation threshold or not, namely judging whether the operation is normal or not, obtaining first maintenance time of the first mechanical equipment when the operation is abnormal, judging whether the first maintenance time meets the preset maintenance time threshold or not, namely, maintaining the mechanical equipment within the preset time or not, if the maintenance is not performed in time, obtaining a first maintenance instruction, maintaining the first mechanical equipment so as to ensure abnormal noise generated due to abnormal operation of the mechanical equipment, and achieving the technical effect of further reducing the influence of building noise.
In summary, the information processing method and the device for reducing the building noise provided by the embodiments of the present application have the following technical effects:
1. through obtaining the noise volume size of job site, and then according to noise volume size different grades, be first noise level, second noise level etc. respectively, and then according to different noise level matching different engineering time, reached and effectively avoided the normal work of user to study the time and be under construction, and then reduced the technical effect that the construction noise produced the influence to the user.
2. Through based on the distance information and the noise propagation medium composition information of user and building noise source, obtain the first noise attenuation degree information and the second noise attenuation degree information of noise propagation in-process respectively, and then adjust first noise level and second noise level according to first noise attenuation degree information and second noise attenuation degree information, reached scientific and reasonable measurement noise and to the influence that people produced, and then rationally arrange the technological effect of engineering time.
Example two
Based on the same inventive concept as the information processing method for reducing construction noise in the foregoing embodiments, the present invention also provides an information processing apparatus for reducing construction noise, as shown in fig. 2, the apparatus comprising:
the first obtaining unit 11: the first obtaining unit 11 is configured to obtain a first construction noise source;
the second obtaining unit 12: the second obtaining unit 12 is configured to obtain volume information of the first construction noise source;
the third obtaining unit 13: the third obtaining unit 13 is configured to obtain position information of the first construction noise source;
fourth obtaining unit 14: the fourth obtaining unit 14 is configured to obtain a predetermined area according to the volume information of the first construction noise source and the position information;
fifth obtaining unit 15: the fifth obtaining unit 15 is configured to obtain first user information in the predetermined area;
sixth obtaining unit 16: the sixth obtaining unit 16 is configured to obtain information about a work and rest rule of the first user information;
the first dividing unit 17: the first dividing unit 17 is configured to grade the volume information of the first building noise source according to the volume size, so as to obtain a first noise level and a second noise level;
seventh obtaining unit 18: the seventh obtaining unit 18 is configured to obtain first construction time information of the first noise level and second construction time information of the second noise level according to the information of the work and rest law of the first user information, respectively.
Further, the device further comprises:
a first input unit: the first input unit is used for inputting the volume information and the position information into a first training model, the first training model is obtained through training of multiple sets of training data, and each set of training data comprises: volume information and the position information and identification information identifying a predetermined area;
eighth obtaining unit: the eighth obtaining unit is configured to obtain a first output result of the first training model, where the first output result includes the predetermined area.
Further, the device further comprises:
a ninth obtaining unit: the ninth obtaining unit is configured to obtain location information of the first user;
a first judgment unit: the first judging unit is used for judging whether the position information is a residential area according to the position information of the first user;
tenth obtaining unit: the tenth obtaining unit is configured to obtain age information of a first user if the location information is a residential area;
a second judgment unit: the second judging unit is used for judging whether the position information is an office area or not if the position information is not a residential area;
eleventh obtaining unit: the eleventh obtaining unit is configured to obtain first information about a first work and rest rule if the location information is an office area.
Further, the device further comprises:
a twelfth obtaining unit: the twelfth obtaining unit is used for obtaining a predetermined age threshold value;
a third judgment unit: the third judging unit is used for judging whether the age information of the first user exceeds the preset age threshold value;
thirteenth obtaining unit: the thirteenth obtaining unit is configured to obtain second work and rest rule information if the age information of the first user exceeds the predetermined age threshold;
fourteenth obtaining unit: the fourteenth obtaining unit is configured to obtain third information about a work and rest law if the age information of the first user does not exceed the predetermined age threshold.
Further, the device further comprises:
fifteenth obtaining unit: the fifteenth obtaining unit is configured to obtain location information of the first user;
sixteenth obtaining unit: the sixteenth obtaining unit is used for obtaining distance information between the first user and the first building noise source according to the position information of the first user and the position information of the first building noise source;
seventeenth obtaining unit: the seventeenth obtaining unit is used for obtaining first noise attenuation degree information according to the distance information;
a first adjusting unit: the first adjusting unit is used for adjusting the first noise level and/or the second noise level according to the first noise attenuation degree information.
Further, the device further comprises:
eighteenth obtaining unit: the eighteenth obtaining unit is used for obtaining the height information of the first building noise source according to the position information of the first building noise source;
nineteenth obtaining unit: the nineteenth obtaining unit is configured to obtain noise propagation medium component information according to the height information;
a twentieth obtaining unit: the twentieth obtaining unit is configured to obtain second noise attenuation degree information according to the noise propagation medium component information;
a second adjusting unit: the second adjusting unit is used for adjusting the first noise level and/or the second noise level according to the second noise attenuation degree information.
The various modifications and embodiments of the aforementioned information processing method for reducing construction noise in the first embodiment of fig. 1 are equally applicable to the information processing apparatus for reducing construction noise in this embodiment, and those skilled in the art will be aware of the implementation method of the information processing apparatus for reducing construction noise in this embodiment through the foregoing detailed description of the information processing method for reducing construction noise, so that the details will not be repeated for brevity of description.
Example III
An electronic device of an embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of an information processing method for reducing construction noise as in the previous embodiments, the present invention also provides an information processing apparatus for reducing construction noise, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the above-described information processing methods for reducing construction noise.
Where in FIG. 3 a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The embodiment of the application provides an information processing method for reducing building noise, wherein the method further comprises the following steps: obtaining a first construction noise source; obtaining volume information of the first building noise source; obtaining location information of the first construction noise source; obtaining a preset area according to the volume information of the first building noise source and the position information; acquiring first user information in the preset area; obtaining the information of the action and rest laws of the first user information; grading the volume information of the first building noise source according to the volume, and obtaining a first noise level and a second noise level; and respectively obtaining the first construction time information of the first noise level and the second construction time information of the second noise level according to the work and rest rule information of the first user information.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. An information processing method for reducing construction noise, wherein the method comprises:
obtaining a first construction noise source;
obtaining volume information of the first building noise source;
obtaining location information of the first construction noise source;
obtaining a preset area according to the volume information of the first building noise source and the position information;
acquiring first user information in the preset area;
obtaining the information of the action and rest laws of the first user information;
grading the volume information of the first building noise source according to the volume, and obtaining a first noise level and a second noise level;
according to the information of the work and rest laws of the first user information, first construction time information of the first noise level and second construction time information of the second noise level are respectively obtained;
acquiring the height information of the first building noise source according to the position information of the first building noise source;
obtaining noise propagation medium component information according to the height information;
obtaining second noise attenuation degree information according to the noise propagation medium component information;
adjusting the first noise level and/or the second noise level according to the second noise attenuation degree information;
wherein, according to the second noise attenuation degree information, the first noise level and/or the second noise level are adjusted, specifically:
；
wherein,information about the second degree of noise attenuation;
for the first noise level and/or the second noise level;
for the adjusted first noise level and/or the second noise level;
is constant.
2. The method of claim 1, wherein the obtaining a predetermined area from the volume information of the first construction noise source and the location information comprises:
inputting the volume information and the position information into a first training model, wherein the first training model is obtained through training of multiple sets of training data, and each set of the multiple sets of training data comprises: volume information and the position information and identification information identifying a predetermined area;
obtaining a first output result of the first training model, wherein the first output result comprises the preset area.
3. The method of claim 1, wherein the obtaining information of the first user information comprises:
obtaining the position information of the first user;
judging whether the position information is a residential area according to the position information of the first user;
if the location information is a residential area, obtaining age information of a first user;
if the location information is not a residential area, judging whether the location information is an office area;
and if the position information is an office area, obtaining first work and rest rule information.
4. A method as claimed in claim 3, wherein, if the location information is a residential area, after obtaining age information of the first user, comprising:
obtaining a predetermined age threshold;
judging whether the age information of the first user exceeds the preset age threshold value or not;
if the age information of the first user exceeds the preset age threshold value, second work and rest rule information is obtained;
and if the age information of the first user does not exceed the preset age threshold value, obtaining third information of the work and rest.
5. The method of claim 1, wherein the method comprises:
obtaining the position information of the first user;
obtaining distance information between the first user and the first construction noise source according to the position information of the first user and the position information of the first construction noise source;
according to the distance information, first noise attenuation degree information is obtained;
and adjusting the first noise level and/or the second noise level according to the first noise attenuation degree information.
6. An information processing apparatus for reducing construction noise, implementing the information processing method for reducing construction noise according to any one of claims 1 to 5, wherein the apparatus comprises:
a first obtaining unit: the first obtaining unit is used for obtaining a first building noise source;
a second obtaining unit: the second obtaining unit is used for obtaining volume information of the first building noise source;
a third obtaining unit: the third obtaining unit is used for obtaining the position information of the first building noise source;
fourth obtaining unit: the fourth obtaining unit is used for obtaining a preset area according to the volume information of the first building noise source and the position information;
fifth obtaining unit: the fifth obtaining unit is configured to obtain first user information in the predetermined area;
sixth obtaining unit: the sixth obtaining unit is used for obtaining the information of the action and rest laws of the first user information;
a first dividing unit: the first dividing unit is used for carrying out grade division on the volume information of the first building noise source according to the volume size to obtain a first noise grade and a second noise grade;
seventh obtaining unit: the seventh obtaining unit is configured to obtain first construction time information of the first noise level and second construction time information of the second noise level according to the information of the work and rest law of the first user information, respectively.
7. An information processing apparatus for reducing construction noise comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1-5 when the program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110731242.8A CN113516449B (en) | 2021-06-30 | 2021-06-30 | Information processing method and device for reducing building noise |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110731242.8A CN113516449B (en) | 2021-06-30 | 2021-06-30 | Information processing method and device for reducing building noise |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113516449A CN113516449A (en) | 2021-10-19 |
| CN113516449B true CN113516449B (en) | 2023-12-22 |
Family
ID=78066357
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110731242.8A Active CN113516449B (en) | 2021-06-30 | 2021-06-30 | Information processing method and device for reducing building noise |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113516449B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116389981B (en) * | 2023-05-13 | 2023-09-19 | 恩平市唐成电声科技有限公司 | Power amplifier control system and method based on artificial intelligence |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR960043485A (en) * | 1995-05-19 | 1996-12-23 | 김태구 | Volume control device of noise-adaptive car audio device |
| JP2000114893A (en) * | 1998-10-02 | 2000-04-21 | Fujitsu Ten Ltd | Volume controller |
| JP2001156563A (en) * | 1999-11-25 | 2001-06-08 | Matsushita Electric Ind Co Ltd | Sound volume controller and sound volume control method |
| JP2008298568A (en) * | 2007-05-31 | 2008-12-11 | Tobishima Corp | System for analyzing degree of effect of noise source |
| JP2011237856A (en) * | 2010-05-06 | 2011-11-24 | Panasonic Electric Works Co Ltd | Noise detection system and noise detection method |
| FR2969742A1 (en) * | 2010-12-28 | 2012-06-29 | Oze En | Installation for control and regulation of heating, air treatment and cooling devices in e.g. residential building, has information capture and analysis unit to capture and analyze information relating to weather forecasts in building site |
| KR101428961B1 (en) * | 2014-01-28 | 2014-08-14 | 엠넥스텍 주식회사 | Integrated energy operation management system of building and operating method thereof |
| KR20160047143A (en) * | 2014-10-22 | 2016-05-02 | (주)대우건설 | Construction noise monitoring system and method of managing construction noise using the same |
| CN106338992A (en) * | 2016-09-26 | 2017-01-18 | 海尔优家智能科技（北京）有限公司 | Noise processing method and device |
| CN107195162A (en) * | 2017-07-17 | 2017-09-22 | 太仓红码软件技术有限公司 | A kind of noise intelligent detecting method and its system for skyscraper |
| JP2018040603A (en) * | 2016-09-06 | 2018-03-15 | 三菱電機株式会社 | Noise management device, electric apparatus, noise management system, noise management method, and program |
| CN109886502A (en) * | 2019-03-06 | 2019-06-14 | 北京工业大学 | A kind of routing method reducing night dispatching noise effect |
| CN110460900A (en) * | 2019-08-16 | 2019-11-15 | 深圳创维－Rgb电子有限公司 | Volume adjusting method, display device and the storage medium of display device |
| CN111504451A (en) * | 2020-04-29 | 2020-08-07 | 湖南建工集团有限公司 | Method and system for judging standard exceeding of environmental noise emission of construction site |
| CN111539630A (en) * | 2020-04-23 | 2020-08-14 | 顾晓东 | Building engineering construction operation environment intelligent monitoring system based on big data |
| CN212232180U (en) * | 2020-01-09 | 2020-12-29 | 甘肃正兴园林绿化工程有限公司 | Novel lawn mower for afforestation |
| CN112376912A (en) * | 2020-11-19 | 2021-02-19 | 中铁建工集团山东有限公司 | Environment-friendly construction method and device |
| CN112530393A (en) * | 2020-12-05 | 2021-03-19 | 周卜琼 | Vibration and noise reduction method for low-frequency noise of urban residential district |
| KR20210062789A (en) * | 2019-11-21 | 2021-06-01 | 현대건설주식회사 | Construction scheduling method of an construction fields concerning background noise |
| CN112926532A (en) * | 2021-04-01 | 2021-06-08 | 深圳前海微众银行股份有限公司 | Information processing method, device, equipment, storage medium and computer program product |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190215460A1 (en) * | 2018-01-09 | 2019-07-11 | Osram Sylvania Inc. | User Interface for Control of Building System Components |
| US11450303B2 (en) * | 2019-11-12 | 2022-09-20 | Sony Corporation | Unmanned aerial vehicle (UAV) based noise cancellation in physical area |
-
2021
- 2021-06-30 CN CN202110731242.8A patent/CN113516449B/en active Active
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR960043485A (en) * | 1995-05-19 | 1996-12-23 | 김태구 | Volume control device of noise-adaptive car audio device |
| JP2000114893A (en) * | 1998-10-02 | 2000-04-21 | Fujitsu Ten Ltd | Volume controller |
| JP2001156563A (en) * | 1999-11-25 | 2001-06-08 | Matsushita Electric Ind Co Ltd | Sound volume controller and sound volume control method |
| JP2008298568A (en) * | 2007-05-31 | 2008-12-11 | Tobishima Corp | System for analyzing degree of effect of noise source |
| JP2011237856A (en) * | 2010-05-06 | 2011-11-24 | Panasonic Electric Works Co Ltd | Noise detection system and noise detection method |
| FR2969742A1 (en) * | 2010-12-28 | 2012-06-29 | Oze En | Installation for control and regulation of heating, air treatment and cooling devices in e.g. residential building, has information capture and analysis unit to capture and analyze information relating to weather forecasts in building site |
| KR101428961B1 (en) * | 2014-01-28 | 2014-08-14 | 엠넥스텍 주식회사 | Integrated energy operation management system of building and operating method thereof |
| KR20160047143A (en) * | 2014-10-22 | 2016-05-02 | (주)대우건설 | Construction noise monitoring system and method of managing construction noise using the same |
| JP2018040603A (en) * | 2016-09-06 | 2018-03-15 | 三菱電機株式会社 | Noise management device, electric apparatus, noise management system, noise management method, and program |
| CN106338992A (en) * | 2016-09-26 | 2017-01-18 | 海尔优家智能科技（北京）有限公司 | Noise processing method and device |
| CN107195162A (en) * | 2017-07-17 | 2017-09-22 | 太仓红码软件技术有限公司 | A kind of noise intelligent detecting method and its system for skyscraper |
| CN109886502A (en) * | 2019-03-06 | 2019-06-14 | 北京工业大学 | A kind of routing method reducing night dispatching noise effect |
| CN110460900A (en) * | 2019-08-16 | 2019-11-15 | 深圳创维－Rgb电子有限公司 | Volume adjusting method, display device and the storage medium of display device |
| KR20210062789A (en) * | 2019-11-21 | 2021-06-01 | 현대건설주식회사 | Construction scheduling method of an construction fields concerning background noise |
| CN212232180U (en) * | 2020-01-09 | 2020-12-29 | 甘肃正兴园林绿化工程有限公司 | Novel lawn mower for afforestation |
| CN111539630A (en) * | 2020-04-23 | 2020-08-14 | 顾晓东 | Building engineering construction operation environment intelligent monitoring system based on big data |
| CN111504451A (en) * | 2020-04-29 | 2020-08-07 | 湖南建工集团有限公司 | Method and system for judging standard exceeding of environmental noise emission of construction site |
| CN112376912A (en) * | 2020-11-19 | 2021-02-19 | 中铁建工集团山东有限公司 | Environment-friendly construction method and device |
| CN112530393A (en) * | 2020-12-05 | 2021-03-19 | 周卜琼 | Vibration and noise reduction method for low-frequency noise of urban residential district |
| CN112926532A (en) * | 2021-04-01 | 2021-06-08 | 深圳前海微众银行股份有限公司 | Information processing method, device, equipment, storage medium and computer program product |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113516449A (en) | 2021-10-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112347476B (en) | Data protection method, device, medium and equipment | |
| CN111986191B (en) | Building construction acceptance method and system | |
| CN113516449B (en) | Information processing method and device for reducing building noise | |
| CN111950068A (en) | Method and device for maintaining building equipment based on Bim | |
| CN106097043A (en) | The processing method of a kind of credit data and server | |
| CN110991568A (en) | Target identification method, device, equipment and storage medium | |
| CN112085560A (en) | Intelligent education method and system based on cloud computing | |
| CN111832059B (en) | Space big data management method and system based on cloud service | |
| CN113570096A (en) | Intelligent trip method and device based on big data | |
| CN114510867A (en) | 3D simulation power distribution cabinet circuit wiring method and system | |
| CN112712264B (en) | Intelligent community information sharing method and system | |
| CN112017462B (en) | Method, apparatus, electronic device, and medium for generating scene information | |
| CN113705074A (en) | Chemical accident risk prediction method and device | |
| CN112597615A (en) | BIM-based sewer pipeline management and control method and system | |
| Shmelova | Integration Deterministic, Stochastic and Non-Stochastic Uncertainty Models in Conflict Situations. | |
| CN112116515A (en) | Community big health information processing method and system after epidemic situation | |
| RU2665096C1 (en) | Method for two-level management and system for its implementation (options) | |
| CN111694902A (en) | Difference path identification method and device, electronic equipment and computer storage medium | |
| CN112311839B (en) | Information pushing method, device, equipment and readable medium | |
| US20190205802A1 (en) | Information processing device, information processing method and computer readable medium | |
| CN114066322A (en) | Method for evaluating unmanned station operation management and risk prevention and control capacity of oil and gas pipeline | |
| CN109996274B (en) | Method, device, equipment and medium for adjusting LTE cell parameters | |
| CN112104706A (en) | Method, device, equipment and storage medium for releasing model in distributed system | |
| CN112308278A (en) | Method, device, equipment and medium for optimizing prediction model | |
| CN113112102A (en) | Priority determination method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |