CN112612993B - Evaluation method for monitoring sound environment quality - Google Patents
Evaluation method for monitoring sound environment quality Download PDFInfo
- Publication number
- CN112612993B CN112612993B CN202011415467.4A CN202011415467A CN112612993B CN 112612993 B CN112612993 B CN 112612993B CN 202011415467 A CN202011415467 A CN 202011415467A CN 112612993 B CN112612993 B CN 112612993B
- Authority
- CN
- China
- Prior art keywords
- monitoring
- quality
- acoustic environment
- environment
- evaluation
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 110
- 238000011156 evaluation Methods 0.000 title claims abstract description 51
- 238000004364 calculation method Methods 0.000 claims abstract description 11
- 238000013441 quality evaluation Methods 0.000 claims abstract description 11
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 8
- 230000003203 everyday effect Effects 0.000 claims abstract description 6
- 238000010606 normalization Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 18
- 238000005259 measurement Methods 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 abstract description 13
- 238000003933 environmental pollution control Methods 0.000 abstract 1
- 238000001303 quality assessment method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000011157 data evaluation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000010561 standard procedure Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Operations Research (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Pure & Applied Mathematics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Multimedia (AREA)
- General Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Quality & Reliability (AREA)
- Computational Linguistics (AREA)
- Human Computer Interaction (AREA)
- Algebra (AREA)
- Acoustics & Sound (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses an evaluation method for monitoring the quality of acoustic environment, which comprises the following five steps: (1) The noise standard limit value statistics is carried out on the sound environment function area category of the determined monitoring point position; (2) Acquiring noise detection results of the environment, road traffic and functional areas of the determined area; (3) Carrying out normalization processing on the monitoring result corresponding to the noise standard limit value of the obtained monitoring point, calculating the sound environment quality index (4) of each measuring point every day, and determining the single sound environment quality comprehensive indexes in different evaluation periods and areas according to the single-point sound environment quality index; (5) The classification is subjected to an arithmetic weighting calculation to determine an acoustic environment quality evaluation index. The invention synthesizes three indexes (regional environment, road traffic and functional area environmental noise) conventionally monitored in the urban acoustic environment functional area, can evaluate the quality condition of acoustic environment of each region more scientifically and accurately, and provides decision support for environmental pollution control.
Description
Technical Field
The invention belongs to the technical field of environmental protection, and particularly relates to a method for evaluating the quality of a noise environment.
Background
With the development of urban construction speed, the noise problem has become one of the non-negligible environmental pollution problems, and the conventional monitoring work of the sound environment quality in China is continued from the last 70 th century. The monitoring and evaluation are mainly based on the sound environment quality standard (GB 3096), the conventional monitoring technology of sound environment quality regulation (HJ 640) is promulgated in 2012, and the sound environment monitoring and evaluation work is further standardized.
Conventional monitoring of acoustic environment quality (also called routine monitoring) is mainly acoustic environment screening, and includes three parts of regional monitoring, road traffic monitoring and functional area monitoring, according to the HJ640 rule. The manual data of once-a-year monitoring is adopted as evaluation basic data for regional and road traffic monitoring; the functional area uses manual data for four days of one year monitoring (one day of each quarter) as the evaluation base data. The position and the monitoring time of the monitoring point are fixed as much as possible in the past year.
The regional monitoring generally adopts a census method, the whole urban area is divided into a plurality of square grids with the same area, and 1 monitoring point position is distributed in the center of each grid. The urban environmental noise overall level is evaluated, and the annual change rule and change trend of the urban acoustic environmental quality are analyzed.
The road traffic monitoring mainly detects noise emission characteristics of various roads (expressways, arterial roads, secondary arterial roads and the like) in cities; the characteristics of traffic noise emission of different road characteristics (traffic types, traffic flows, motor vehicle running speeds, road surface structures, road widths, sensitive building distribution and the like) are obtained. The method aims at analyzing the relation and the change rule of the noise level and the traffic flow and road conditions by acquiring the noise intensity of a road traffic noise source; and analyzing the annual change rule and change trend of urban road traffic noise.
The monitoring of the functional area adopts the general survey monitoring method in the annex B of the national standard GB3096-2008, and various functional areas roughly select a plurality of measuring points with equivalent sound levels which have no obvious difference from the average equivalent sound level of the functional area and can reflect the sound environment quality characteristics of the functional area.
The acoustic environment routine monitoring comprises three monitoring modes (areas, roads and functional areas), the corresponding evaluation methods also comprise three, the same area to be evaluated is evaluated by adopting the three evaluation methods, the contradiction of the evaluation results of the area to be evaluated is easy to cause, and the comprehensive comparison cannot be realized. For example, the average value of Leqa is used as an evaluation quantity in the regional monitoring data, the average sound level of road weighting is used as an evaluation quantity in the road traffic monitoring data, the standard rate is used as an evaluation quantity in the functional region monitoring result, the regional evaluation result is a first-level good level, the road traffic noise intensity is evaluated as a second-level good level, and the standard rate of the acoustic environment of the functional region is lower. Or the traffic flow and the urban automobile holding quantity are continuously increased, the road traffic noise is seriously influenced, and the functional area meets the standard. Therefore, the three evaluation results cannot truly reflect the quality condition of the regional sound environment. There is a need to develop new acoustic environment monitoring and evaluating methods to meet the requirements of accurate evaluation.
Disclosure of Invention
The invention aims to solve the defects of the existing acoustic environment quality evaluation method, and provides a more scientific acoustic environment quality evaluation method. According to the method, an SQI algorithm in an acoustic environment quality evaluation index calculation mode is developed according to the limit value of an acoustic environment quality evaluation standard and the acoustic environment quality monitoring method in the acoustic environment quality standard (GB 3096-2008) and the environmental noise monitoring technical specification, namely urban acoustic environment conventional monitoring, HJ640-2012, and the acoustic environment quality condition is comprehensively evaluated. The method specifically comprises the following steps:
(1) According to the category of the acoustic environment functional area where the determined monitoring point positions are located, carrying out noise standard limit value statistics;
(2) Acquiring detection results of regional environment noise, road traffic noise and functional region noise environments of the determined region;
(3) Referring to the noise standard limit value of the acoustic environment monitoring point obtained in the step (1), carrying out normalization processing corresponding to the detection result of each monitoring point, and calculating the acoustic environment quality index ISQI of each measuring point every day p single point ；
(4) Determining different evaluation periods according to the single-point sound environment quality index obtained in the step (3), and determining a single-point sound environment quality comprehensive index-ISQI (integrated service quality indicator) in different evaluation areas p Total ；
(5) ISQI obtained according to step (4) p Total The categories are arithmetically weighted to determine the acoustic environment quality assessment index SQI.
And uniformly evaluating detection results of three different modes of acoustic environment quality level, acoustic environment functional area category and acoustic environment monitoring according to the acoustic environment quality evaluation index, and performing evaluation and assessment ranking on each area.
The step (4) specifically includes:
counting monitoring frequencies of different acoustic environment monitoring types, wherein the calculation formula of single acoustic environment quality comprehensive indexes in different evaluation periods and evaluation areas is as follows:
wherein N: 1. 2,3 … …, each monitoring point is monitored for 24 hours in a period when monitoring the total frequency and the acoustic environment functional area, if the monitoring frequency is recorded as 2,3 functional area measuring points, each measuring point is measured for a period, n=6,
p=1 represents regional ambient noise monitoring; p=2 represents road traffic noise monitoring; p=3 indicates the functional area noise monitoring,
li: representing the length of a road measuring point section;
l: indicating the total length of the road measurement point segments within the evaluation area.
The invention has the advantages and positive effects that:
the method comprises the steps of comprehensively evaluating the sound environment quality through SQI, continuously performing single-point evaluation on the sound environment measurement result of a functional area in the process of environmental noise monitoring technical specification-urban sound environment conventional monitoring HJ640, comprehensively evaluating the overall regional environment noise, weighting and evaluating the road traffic noise, connecting the working requirements of automatic monitoring data evaluation of future functional area noise, and performing multidimensional processing on the evaluation result, wherein the multidimensional processing comprises measured value normalization processing, weighting dynamic assignment in different evaluation modes and weighted average of the evaluation result. The new evaluation method is more visual and scientific for evaluating the acoustic environment condition of a certain area, and a quantitative and accurate evaluation method is provided for the quality ranking and the assessment of the acoustic environment.
Drawings
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The specific steps of the method of the present invention are further described below with reference to the accompanying drawings.
(1) According to the category of the acoustic environment functional area where the determined monitoring point positions are located, carrying out noise standard limit value statistics;
(2) Acquiring detection results of regional environment noise, road traffic noise and functional region noise environments of the determined region;
(3) Referring to the noise standard limit value of the acoustic environment monitoring point obtained in the step (1), carrying out normalization processing corresponding to the detection result of each monitoring point, and calculating the acoustic environment quality index ISQI of each measuring point every day p single point ；
(4) Determining different evaluation periods according to the single-point sound environment quality index obtained in the step (3), and determining single-point sound environment quality comprehensive indexes ISQI in different evaluation areas p Total ；
(5) ISQI obtained according to step (4) p Total The categories are arithmetically weighted to determine the acoustic environment quality assessment index SQI.
And uniformly evaluating detection results of three different modes of acoustic environment quality level, acoustic environment functional area category and acoustic environment monitoring according to the acoustic environment quality evaluation index, and checking acoustic environment routine monitoring results of all areas according to the order of data from small to large.
In the step (3), the calculation formula of the mass fraction index of the acoustic environment of each measuring point per day is as follows:
wherein: p is 1, 2 and 3;1 represents regional environmental noise monitoring; 2 represents road traffic noise monitoring; 3 represents noise monitoring of the functional area, and when p selects 1 and 3, the value is taken according to the noise standard limit value corresponding to the category of the functional area where the monitoring point is located; when p selects 2, the standard value of the daytime is 70dB (A), and the standard value of the nighttime is 55dB (A).
The step (4) specifically comprises:
counting monitoring frequencies of different acoustic environment monitoring types, wherein the calculation formula of single acoustic environment quality comprehensive indexes in different evaluation periods and evaluation areas is as follows:
wherein N: 1. 2,3 … …, when the monitoring of the total frequency acoustic environment functional area is shown, each monitoring point is monitored for 24 hours in a period, if the monitoring frequency is recorded as 2,3 functional area measuring points, and each measuring point is measured for one period, n=6.
li: representing the length of a road measuring point section;
l: indicating the total length of the road measurement point segments within the evaluation area.
In the step (5), the acoustic environment quality evaluation index SQI is specifically divided into five levels: when the sound quality is less than or equal to 90, the sound environment quality is good; when the sound is positioned between 91 and 100, the sound environment quality is better; when located at 101-110, the quality corresponding to the acoustic environment is general; at 111-120, the quality corresponding to the acoustic environment is poor; above 121, the quality of the corresponding acoustic environment is poor.
The calculation formula for determining the sound environment quality index SQI is as follows:
in J p And evaluating the index weight for each monitoring type, and assigning values according to the quality condition of the acoustic environment in the evaluation area.
And (1) investigating the category of the acoustic environment functional area where each monitoring point is located, carrying out standard limit statistics, determining the type of the acoustic environment functional area where each monitoring point is located according to an acoustic environment functional area division scheme issued and implemented by the government of people above county level in an evaluation area, determining the execution standard value of each monitoring point according to the standard limit requirement in acoustic environment quality standard GB3096, and carrying out row table statistics.
Step (2) collecting monitoring results of regional environmental noise, road traffic noise and functional regional sound environment collection; the three monitoring result acquisition processes are carried out according to the standard method in the conventional monitoring of urban acoustic environment of environmental noise monitoring technical specification HJ640, and the monitoring results are counted respectively.
TABLE 1 regional environmental noise monitoring results for certain regions to be evaluated
Table 2 road traffic noise monitoring results
TABLE 3 functional zone acoustic environmental monitoring results
Step (3) referring to the noise standard limit value of the acoustic environment monitoring point position, carrying out normalization processing corresponding to the monitoring result of each monitoring point, and calculating the acoustic environment quality index ISQI of each measuring point every day p single point 。
For regional environmental noise and road traffic noise monitoring, if night monitoring is not performed, the night monitoring evaluation amount is 0, and the daytime monitoring evaluation amount of the functional regional acoustic environmental monitoring is the continuous equivalent sound level (L d ) The night monitoring evaluation amount is the night continuous equivalent sound level (L n )。
The step (4) specifically includes:
counting monitoring frequencies of different acoustic environment monitoring types, wherein the calculation formula of single acoustic environment quality comprehensive indexes in different evaluation periods and evaluation areas is as follows:
wherein N: 1. 2,3 … …, each monitoring point is monitored for 24 hours in a period when monitoring the total frequency and the acoustic environment functional area, if the monitoring frequency is recorded as 2,3 functional area measuring points, each measuring point is measured for a period, n=6,
p=1 represents regional ambient noise monitoring; p=2 represents road traffic noise monitoring; p=3 indicates the functional area noise monitoring,
li: representing the length of a road measuring point section;
l: indicating the total length of the road measurement point segments within the evaluation area.
Step (5) ISQI obtained according to step (4) p Total The classification performs an arithmetic weighted calculation to determine the acoustic environment quality index SQI.
Jp：Dynamic assignment coefficient matrixes of three types of monitoring results;
ISQI calculated according to step (3) 1 total of 0.9165, ISQI 2 total 0.9566, ISQI 3 Total In the form of 0.9479,
the coefficient region of the three evaluation methods was 1, namely
And (3) calculating: SQI is 94.
According to the evaluation result, the sound environment quality level was "good".
While the preferred embodiment of the present invention has been described above with reference to the accompanying drawings, the present invention is not limited to the above-described embodiment, which is merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the appended claims, which are to be construed as falling within the scope of the present invention.
Claims (3)
1. An evaluation method for monitoring the quality of acoustic environment is characterized in that: the method comprises the following steps:
(1) According to the category of the acoustic environment functional area where the determined monitoring point positions are located, carrying out noise standard limit value statistics;
(2) Acquiring the detection results of the environment noise, road traffic noise and functional area noise environment of the determined area;
(3) Referring to the noise standard limit value of the acoustic environment monitoring point obtained in the step (1), carrying out normalization processing corresponding to the detection result of each monitoring point, and calculating the acoustic environment quality index ISQI of each measuring point every day p single point ；
(4) Determining different evaluation periods according to the single-point sound environment quality index obtained in the step (3), and determining a single-point sound environment quality comprehensive index-ISQI (integrated service quality indicator) in different evaluation areas p Total ；
(5) According to the steps ofThe ISQI obtained in step (4) p Total The categories are arithmetically weighted to determine an acoustic environment quality evaluation index SQI,
according to the acoustic environment quality evaluation index, the detection results of three different modes of acoustic environment quality level, acoustic environment functional area category and acoustic environment monitoring are uniformly evaluated, each area evaluation and assessment ranking are carried out,
the step (4) specifically includes:
counting monitoring frequencies of different acoustic environment monitoring types, wherein the calculation formula of single acoustic environment quality comprehensive indexes in different evaluation periods and evaluation areas is as follows:
wherein N: 1. 2,3 … …, each monitoring point is monitored for 24 hours in a period when monitoring the total frequency and the acoustic environment functional area, if the monitoring frequency is recorded as 2,3 functional area measuring points, each measuring point is measured for a period, n=6,
p=1 represents regional ambient noise monitoring; p=2 represents road traffic noise monitoring; p=3 indicates the functional area noise monitoring,
li: representing the length of a road measuring point section;
l: indicating the total length of the road measurement point segments within the evaluation area.
2. A method of evaluating quality monitoring of an acoustic environment in accordance with claim 1, wherein: the calculation formula of the mass fraction index of the acoustic environment of each measuring point every day in the step (3) is as follows:
when p is 1 or 3, taking a value according to a noise standard limit value corresponding to the type of the functional area where the monitoring point is located; when p selects 2, the standard value of the daytime is 70dB (A), and the standard value of the nighttime is 55dB (A).
3. A method of evaluating quality monitoring of an acoustic environment in accordance with claim 1, wherein: the sound environment quality evaluation index SQI in the step (5) is specifically divided into five levels: when the sound quality is less than or equal to 90, the sound environment quality is good; when the sound is positioned between 91 and 100, the sound environment quality is better; when located at 101-110, the quality corresponding to the acoustic environment is general; at 111-120, the quality corresponding to the acoustic environment is poor; above 121, the quality corresponding to the acoustic environment is poor,
the calculation formula for determining the sound environment quality index SQI is as follows:
in J p And evaluating the index weight for each monitoring type, and assigning values by evaluating the quality condition of the regional acoustic environment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011415467.4A CN112612993B (en) | 2020-12-04 | 2020-12-04 | Evaluation method for monitoring sound environment quality |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011415467.4A CN112612993B (en) | 2020-12-04 | 2020-12-04 | Evaluation method for monitoring sound environment quality |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112612993A CN112612993A (en) | 2021-04-06 |
| CN112612993B true CN112612993B (en) | 2023-06-23 |
Family
ID=75229374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011415467.4A Active CN112612993B (en) | 2020-12-04 | 2020-12-04 | Evaluation method for monitoring sound environment quality |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112612993B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113782108B (en) * | 2021-11-11 | 2022-02-08 | 中国环境监测总站 | Surface water environment quality monitoring and evaluating method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440411A (en) * | 2013-08-15 | 2013-12-11 | 中山大学 | Traffic noise pollution model based on exposed crowd/area/acoustic environment functional area |
| CN104332050A (en) * | 2014-10-27 | 2015-02-04 | 浙江省环境保护科学设计研究院 | Intelligent environmental noise and vibration monitoring device and method |
| CN107066711A (en) * | 2017-03-29 | 2017-08-18 | 合肥工业大学 | The construction method of Traditional Architectures physical environment appraisement system |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5016724B1 (en) * | 2011-03-18 | 2012-09-05 | リオン株式会社 | Noise observation apparatus and noise observation method |
| CN202748126U (en) * | 2012-07-18 | 2013-02-20 | 北京市朝阳区环境保护学会 | Online traffic noise monitoring system |
| CN105737972A (en) * | 2016-02-03 | 2016-07-06 | 东南大学 | City noise environment multi-point sampling auxiliary measurement device and measurement method |
| CN108871552A (en) * | 2018-06-22 | 2018-11-23 | 哈尔滨工业大学（深圳） | A kind of noise monitoring method and system based on identification of sound source |
| CN109886502A (en) * | 2019-03-06 | 2019-06-14 | 北京工业大学 | A kind of routing method reducing night dispatching noise effect |
| CN111144766A (en) * | 2019-12-28 | 2020-05-12 | 东南大学 | Logistics park functional area layout evaluation method |
| 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 |
| CN111680940A (en) * | 2020-08-14 | 2020-09-18 | 北京全路通信信号研究设计院集团有限公司 | Regional rail transit network safety level evaluation method and system |
-
2020
- 2020-12-04 CN CN202011415467.4A patent/CN112612993B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103440411A (en) * | 2013-08-15 | 2013-12-11 | 中山大学 | Traffic noise pollution model based on exposed crowd/area/acoustic environment functional area |
| CN104332050A (en) * | 2014-10-27 | 2015-02-04 | 浙江省环境保护科学设计研究院 | Intelligent environmental noise and vibration monitoring device and method |
| CN107066711A (en) * | 2017-03-29 | 2017-08-18 | 合肥工业大学 | The construction method of Traditional Architectures physical environment appraisement system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112612993A (en) | 2021-04-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109685289B (en) | Method, device and system for forward prediction of blast furnace conditions | |
| CN114674988B (en) | Air on-line monitoring system based on wireless network | |
| CN108647805B (en) | Comprehensive testing method for critical rainfall of mountain torrent disasters | |
| CN112113911B (en) | Remote sensing big data detection method and system for automobile exhaust emission of ignition engine | |
| CN114168906B (en) | Mapping geographic information data acquisition system based on cloud computing | |
| CN112612993B (en) | Evaluation method for monitoring sound environment quality | |
| CN112347652B (en) | Heavy rain high risk division method based on linear moment frequency analysis of hydrological region | |
| CN115691120A (en) | Congestion identification method and system based on highway running water data | |
| CN113935090A (en) | Random traffic flow fine simulation method for bridge vehicle-induced fatigue analysis | |
| CN106526149A (en) | Method for predicting pavement performance on basis of transport durations and traffic volumes | |
| CN116739376A (en) | Highway pavement preventive maintenance decision method based on data mining | |
| CN114897378A (en) | Geological disaster refined meteorological risk early warning area evaluation method and device | |
| CN111680888A (en) | Method for determining road network capacity based on RFID data | |
| CN116739619A (en) | Energy power carbon emission monitoring analysis modeling method and device | |
| CN116681330A (en) | Road tunnel electromechanical system running state classification and comprehensive evaluation method | |
| Mazari et al. | Impact of geospatial classification method on interpretation of intelligent compaction data | |
| CN116681205A (en) | Method for evaluating and predicting development degree of rammed earth site gully disease | |
| CN114141017B (en) | Road toughness measuring method considering long-term and short-term road section performance | |
| CN115497306A (en) | Speed interval weight calculation method based on GIS data | |
| CN115526330A (en) | Organic matter navigation data calibration method and device, computer equipment and storage medium | |
| CN114814092A (en) | IP index measuring method based on BP neural network | |
| CN105528657A (en) | Building earthquake damage prediction method based on Beidou and vector machine | |
| CN112729863A (en) | Vehicle actual measurement road selection method | |
| CN113076693A (en) | Road surface compaction quality evaluation method based on support vector machine and hidden horse model | |
| CN113298148A (en) | Ecological environment evaluation-oriented unbalanced data resampling method |
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 |