A method and system for integrating noise map and automatic monitoring data

Abstract

The present invention discloses a method and system for integrating and fusing noise maps and automatic monitoring data, including the following steps: noise monitoring data and noise map basic data are processed to generate noise map data, and the data is published on a map interface to realize the integration of noise map and noise online automatic monitoring system; noise monitoring data, sound source attribute data, and noise map layers are associated using a database format, and a format in which data points and data contents are separated is adopted, and multi-level noise data is added to meet the requirement of segmenting and calculating data after the noise map and noise online automatic monitoring system are integrated; after the noise map and noise online automatic monitoring system are integrated, the noise map is corrected by automatic updating. The present invention has the following advantages and effects: the noise map and noise online automatic monitoring system are integrated, and the noise map can be continuously corrected by automatic updating.

Description

Technical Field

[0001] The invention relates to the field of noise processing, and in particular to an integrated fusion method and system of noise maps and automatic monitoring data. Background Art

[0002] To improve the level of acoustic environment quality monitoring, my country is currently vigorously promoting the automatic monitoring technology of acoustic environment, and further promoting the visualization and business application of automatic monitoring data. In recent years, the application of noise map technology has become more and more extensive. By integrating the noise diffusion attenuation model, the simulation analysis of noise conditions in different spatial locations can be realized, and intuitive three-dimensional visualization effects can be achieved. However, in actual application scenarios, the integration and fusion of noise automatic monitoring technology and noise maps is still an urgent problem to be solved. At present, the automatic noise monitoring data usually only realizes the display of terminal location and measurement data on the GIS map, but due to the lack of support for noise map data, especially the support of the noise online calculation and analysis module, it is not possible to realize the online drawing of noise monitoring data, noise inversion calculation, spatial visualization analysis and dynamic update of maps. Existing noise maps are usually based on noise source data simulated by activity levels. Due to the lack of correction of measured data and fusion of map data, it is difficult to actually reflect the real situation of the noise environment, and there is some deviation from the actual situation.

[0003] A Chinese patent application with application number CN201810578423 discloses a noise map drawing method for use in urban planning and construction project environmental impact assessment. It has preliminarily proposed an idea of ​​determining whether to update the noise map by comparing automatic monitoring data, but has not yet proposed how to integrate the automatic monitoring data into the system structure of the noise map platform and the technical implementation method for achieving real-time updating of the noise map based on the automatic noise monitoring data. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for integrating noise maps and automatic monitoring data to solve the problems raised in the background technology.

[0005] The above technical objectives of the present invention are achieved through the following technical solutions:

[0006] In order to achieve the above object, the present invention provides an integrated fusion method of noise map and automatic monitoring data, comprising the following steps:

[0007] Step S1, using scenario analysis tools or online calculation models, the noise monitoring data and noise map basic data are processed to generate noise map data, which are then processed by graphical tools and data analysis tools and published on the map interface to achieve the integration of the noise map and the noise online automatic monitoring system;

[0008] Step S2, the noise monitoring data, the sound source attribute data, and the noise map layer are associated using a database format, and a format in which data points and data contents are separated is adopted, and multi-level noise data is added to meet the requirements of data segmentation and calculation after the noise map and the noise online automatic monitoring system are integrated;

[0009] Step S3: After the noise map and the online automatic noise monitoring system are integrated, the noise map is corrected by automatic updating.

[0010] It is further configured that step S3 includes the following sub-steps:

[0011] Step S31, constructing a noise map layer;

[0012] Step S32, triggering update information calculation;

[0013] Step S33, obtaining automatic monitoring data and information;

[0014] Step S34, updating and generating a new map area;

[0015] Step S35, updating calculation of noise map;

[0016] Step S36: Update and output the noise map.

[0017] It is further configured that the specific steps of step S31 are: installing the noise source of the automatic noise monitoring equipment, calculating and generating a sound source attenuation data table under the noise map model, and the sound source attenuation data table corresponds to a fixed noise map data point; the correction data of all sound sources are placed in the same sound source attenuation data table, and the sound source attenuation data table is stored according to the sound source ID and the correction point ID, and the corresponding data information is extracted for calculation when needed.

[0018] A further configuration is that the specific steps of step S32 are: based on the set automatic update starting point, after reading the actual noise data of the noise source in the sound source attenuation data table, the update calculation of the noise map system can be manually or automatically triggered, thereby driving the automatic processing of subsequent data.

[0019] It is further configured that the specific steps of step S33 are as follows: the automatic update calculation of the noise map is implemented based on the online automatic noise monitoring system, so the automatic monitoring site information with valid sound source automatic monitoring data is first read, mainly including the sound source ID of the monitored object and the noise automatic monitoring data value.

[0020] It is further configured that the specific steps of step S34 are: screening the corresponding sound source data according to the effective sound source automatic monitoring data, retrieving the corresponding noise map points and noise feature fields from the sound source attenuation data table, and using the noise map points as the map update area; comparing the calculated value and the actual value of the sound source according to the sound source data changes obtained by the noise online automatic monitoring system, and extending the interpolation between them to all data points under the unified sound source attributes in the entire sound source attenuation data table, so as to realize local update of the noise map based on the measured data.

[0021] It is further configured that the specific steps of step S35 are: updating the regional point data according to the noise map, and superimposing the noise map layer data of the corresponding point number, so as to realize the superposition analysis of noises from different sources and different time periods in the local area of ​​the noise map.

[0022] A further configuration is that the specific steps of step S36 are: after the update calculation of the noise map is completed, a data processing module is added to convert it into a raster image; based on the time period data calculation, the noise map calculation results can be arranged and displayed in time series, that is, to achieve a dynamic display of noise data in a four-dimensional space-time sequence.

[0023] In order to achieve the above-mentioned object, the present invention also provides an integrated fusion system of noise maps and automatic monitoring data, which is composed of at least environmental and population data, noise source data, noise map data, Figure 2 The system consists of two-dimensional and three-dimensional grid data, noise map calculation software, noise monitoring data, two-dimensional and three-dimensional noise map basic data, scenario analysis tools, online calculation modules, noise map publishing data, noise map data graphics tools and data analysis tools, and WebGIS map publishing and interaction modules.

[0024] The present invention has the following beneficial effects:

[0025] 1. Process the noise monitoring data and noise map basic data to generate noise map data, and publish it on the map interface to update the map data and expand the application function; after integrating the noise map data according to the above architecture, the noise monitoring data, sound source attribute data, and noise map layers are associated using the database format, and a format that separates data points and data content is adopted, and multi-level noise data is added to meet the requirements for data segmentation and calculation after the noise map is integrated with the noise online automatic monitoring system.

[0026] 2. After the noise map and the online automatic noise monitoring system are integrated, the noise map is corrected through automatic updates; the update of the noise map can effectively improve the accuracy, and can follow the changes in time and location, effectively achieve synchronization, and provide convenience for the demanders. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A schematic diagram of a process for automatically updating a noise map in an embodiment;

[0028] Figure 2 Schematic diagram of the module composition of the integrated fusion system of noise map and automatic monitoring data in the embodiment;

[0029] Figure 3 Schematic diagram of the relationship between the position of the noise monitoring point and the sound source in the embodiment. DETAILED DESCRIPTION

[0030] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0031] This embodiment discloses a method for integrating noise maps and automatic monitoring data, including the following steps:

[0032] Step S1, using scenario analysis tools or online calculation models, noise monitoring data and noise map basic data are processed to generate noise map data, which are then processed by graphical tools and data analysis tools and published on the map interface to achieve integration of noise maps and noise online automatic monitoring systems, and complete map data update and application function expansion;

[0033] Step S2, the noise monitoring data, the sound source attribute data, and the noise map layer are associated using a database format, and a format in which data points and data contents are separated is adopted, and multi-level noise data is added to meet the requirements of data segmentation and calculation after the noise map and the noise online automatic monitoring system are integrated;

[0034] Step S3: After the noise map and the online automatic noise monitoring system are integrated, the noise map is corrected by automatic updating.

[0035] Wherein, step S3 includes the following sub-steps:

[0036] Step S31, constructing a noise map layer;

[0037] Step S32, triggering update information calculation;

[0038] Step S33, obtaining automatic monitoring data and information;

[0039] Step S34, updating and generating a new map area;

[0040] Step S35, updating calculation of noise map;

[0041] Step S36: Update and output the noise map.

[0042] Among them, the specific steps of step S31 are: installing the noise source of the automatic noise monitoring equipment, calculating and generating a sound source attenuation data table under the noise map model, and the sound source attenuation data table corresponds to a fixed noise map data point; the correction data of all sound sources are placed in the same sound source attenuation data table, and the sound source attenuation data table is stored according to the sound source ID and the correction point ID, and the corresponding data information is extracted for calculation when needed.

[0043] The sound source attenuation data table is the most important data table after the noise map is integrated with the online automatic detection system. By updating and optimizing this data table, the noise map parameters can be updated and optimized.

[0044] Among them, the specific steps of step S32 are: based on the set automatic update starting point, after reading the actual noise data of the noise source with the sound source attenuation data table, the update calculation of the noise map system can be manually or automatically triggered, thereby driving the automatic processing of subsequent data.

[0045] Among them, the specific steps of step S33 are: the automatic update calculation of the noise map is implemented based on the online automatic noise monitoring system, so the automatic monitoring site information with valid sound source automatic monitoring data is first read, mainly including the sound source ID of the monitored object and the noise automatic monitoring data value.

[0046] Among them, the specific steps of step S34 are: screening the corresponding sound source data according to the effective sound source automatic monitoring data, retrieving the corresponding noise map points and noise feature fields from the sound source attenuation data table, and using the noise map points as the map update area; according to the sound source data changes obtained by the noise online automatic monitoring system, comparing the calculated value and the actual value of the sound source, and extending the interpolation between them to all data points under the unified sound source attributes in the entire sound source attenuation data table, so as to realize the local update of the noise map based on the measured data.

[0047] Among them, the specific steps of step S35 are: updating the regional point data according to the noise map, superimposing the noise map layer data corresponding to the point number, so as to realize the superposition analysis of noise from different sources and different time periods in the local area of ​​the noise map.

[0048] Among them, the specific steps of step S36 are: after the update calculation of the noise map is completed, add a data processing module to convert it into a raster image; based on the time period data calculation, the noise map calculation results can be arranged and displayed in time series, that is, to achieve dynamic display of noise data in a four-dimensional space-time sequence.

[0049] The specific process of the above steps is:

[0050] The calculation of each attenuation parameter on the sound propagation path is separated and calculated. Different attenuations are realized through different calculation methods. The geometric divergence attenuation, atmospheric absorption attenuation, green belt noise and other attenuations are all implemented in the noise map for calculation. Therefore, it can be inferred that for a specific sound source and grid point, the geometric divergence attenuation A div , atmospheric absorption attenuation A atm and green belts and other attenuation A misc When the scene conditions do not change significantly, it is basically fixed. The change of the sound level at the receiving point A is mainly affected by the sound level of the sound source.

[0051] The noise map is calculated in the following steps:

[0052] L A (r) =L A (r0)–(A div +A atm +A misc )-A bar -A gr

[0053] or

[0054] L A (r) =L P (r0)–(A div +A atm +A misc +ΔL A )-A bar -A gr

[0055] Among them, A bar is the obstacle attenuation, A gr is the ground effect attenuation, ΔL A For L A The change value at the next moment.

[0056] After the noise map is constructed according to the above principle, the automatic monitoring data is integrated and fused, and then automatically updated in the following way:

[0057] According to the requirements of the noise source monitoring specification, the monitoring point of the noise source is used as the sound source reference point r0 for attenuation calculation, and the correlation between the basic parameters of the sound source and the equivalent continuous A sound level of the reference point is established. Then, the monitoring data can be substituted into the noise map to update the map data. For the relationship between the location of the noise monitoring point and the sound source, refer to Figure 3 Perform the corresponding inversion.

[0058] The noise map is realized by calculating the attenuation value of the radiated sound level of the sound source to the calculation point, that is, the ambient sound pressure level is calculated from the radiated sound power of the sound source. Based on the above principle, the sound pressure level of ambient noise is obtained through integrated automatic monitoring data, while the sound power level of the sound source is difficult to measure. It is obtained by reverse calculation through the noise map based on the analysis of the propagation characteristics of the sound source, so as to realize the correction and update of the noise map.

[0059] In addition, this embodiment also discloses an integrated fusion system of noise maps and automatic monitoring data, which is composed of at least environmental and population data, noise source data, noise map data, Figure 2 The system consists of two-dimensional and three-dimensional grid data, noise map calculation software, noise monitoring data, two-dimensional and three-dimensional noise map basic data, scenario analysis tools, online calculation modules, noise map publishing data, noise map data graphics tools and data analysis tools, and WebGIS map publishing and interaction modules.

[0060] Among them, environmental and population data include urban buildings, topography, greening, land use, pollution sources, population distribution and other data;

[0061] The integrated fusion system of noise maps and automatic monitoring data also includes other environmental modules related to environmental factors, such as soil, water sources, organisms, etc.

[0062] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. A method for integrating noise maps and automatic monitoring data, characterized in that , including the following steps: Step S1, using scenario analysis tools or online calculation models, the noise monitoring data and noise map basic data are processed to generate noise map data, which are then processed by graphical tools and data analysis tools and published on the map interface to achieve the integration of the noise map and the noise online automatic monitoring system; Step S2, the noise monitoring data, the sound source attribute data, and the noise map layer are associated using a database format, and a format in which data points and data contents are separated is adopted, and multi-level noise data is added to meet the requirements of data segmentation and calculation after the noise map and the noise online automatic monitoring system are integrated; Step S3: After the noise map and the online noise automatic monitoring system are integrated, the noise map is corrected by automatic updating; The step S3 includes the following sub-steps: Step S31, constructing a noise map layer; Step S32, triggering update information calculation; Step S33, obtaining automatic monitoring data and information; Step S34, updating and generating a new map area; Step S35, updating calculation of noise map; Step S36, updating and outputting the noise map; The specific steps of step S31 are: installing the noise source of the automatic noise monitoring device, calculating and generating a sound source attenuation data table under the noise map model, and the sound source attenuation data table corresponds to a fixed noise map data point; The correction data of all sound sources are placed in the same sound source attenuation data table. The sound source attenuation data table is stored according to the sound source ID and the correction point ID. The corresponding data information is extracted for calculation when needed. The specific steps of step S32 are: based on the set automatic update starting point, after reading the noise measured data of the noise source in the sound source attenuation data table, manually or automatically triggering the update calculation of the noise map system, thereby driving the automatic processing of subsequent data; The specific steps of step S33 are as follows: the noise map automatic update calculation is implemented based on the noise online automatic monitoring system, so the automatic monitoring site information with valid sound source automatic monitoring data is first read, including the monitoring object sound source ID and the noise automatic monitoring data value; The specific steps of step S34 are: screening corresponding sound source data according to the effective sound source automatic monitoring data, retrieving corresponding noise map points and noise feature fields from the sound source attenuation data table, and using the noise map points as map update areas; According to the changes in the sound source data obtained by the online automatic noise monitoring system, the calculated value and the actual value of the sound source are compared, and the interpolation between them is extended to all data points under the unified sound source attribute in the entire sound source attenuation data table to achieve local update of the noise map based on the measured data; The specific steps of step S35 are: updating the regional point data according to the noise map, superimposing the noise map layer data corresponding to the point number, so as to realize the superposition analysis of noise from different sources and different time periods in the local area of ​​the noise map.

2. The method for integrating noise maps and automatic monitoring data according to claim 1, characterized in that: The specific steps of step S36 are: after the update calculation of the noise map is completed, add a data processing module to convert it into a raster image; based on the time period data calculation, arrange the noise map calculation results in time series and display them to achieve dynamic display of noise data in a four-dimensional space-time sequence.

3. An integrated fusion system of noise maps and automatic monitoring data, applied to the integrated fusion method of noise maps and automatic monitoring data according to any one of claims 1-2, characterized in that: It is composed of at least environmental and population data, noise source data, two-dimensional and three-dimensional grid data of noise maps, noise map calculation software, noise monitoring data, two-dimensional and three-dimensional noise map basic data, scenario analysis tools, online calculation modules, noise map publishing data, noise map data graphics tools, data analysis tools, and WebGIS map publishing and interaction modules.

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