Urban sound environment quality monitoring system and method based on Internet of Things

Abstract

The present invention discloses a city sound environment quality monitoring system and method based on the Internet of Things, including a bus collection point, which is set on the bus and used to collect sound information around the bus; a bus stop collection point, which is set on the top of the bus stop and used to collect sound information collected by the bus collection point; and a server, which receives sound information collected from the bus stop collection point. The present invention designs a noise sensor on the bus to collect sound data along the route through the driving of the bus, and designs a collection point at the bus stop to collect the collection data of the passing bus collection point, which has a large range and low cost; designs a collection drone on the bus stop, divides the entire city into several triangles with the bus stop as a point, and the collection drone on each bus stop collects the corresponding area, and the collection drone collection area on the three vertices of the triangle covers the triangle, and all triangles are combined into the entire city area to monitor the environmental sound of the entire city.

Description

Technical Field

[0001] The present invention relates to the field of environmental monitoring, and in particular to an urban acoustic environment quality monitoring system and method based on the Internet of Things. Background Art

[0002] Noise mainly comes from traffic, industry, construction, and social life, such as vehicles, high-speed machines, power machinery, and entertainment venues. Noise is harmful in many ways. It not only interferes with rest and sleep, reduces work efficiency, but also damages hearing and visual organs, and even seriously affects people's physiological health, such as damaging cardiovascular and cerebrovascular vessels, and causing irregular menstruation in women. The key to controlling noise is to control the source of noise, cut off the spread of noise, and reduce noise at the human ear, such as reducing the noise of the sound source, blocking the noise with sound-absorbing equipment, and wearing earplugs or helmets to reduce the noise heard by the human ear. Noise refers to the sound made by the sound-generating body when it vibrates irregularly. Sound is generated by the vibration of an object and propagates in a certain medium (such as solid, liquid, gas) in the form of waves. The so-called noise pollution usually refers to man-made noise. From a physiological point of view, any sound that interferes with people's rest, study and work and interferes with the sound you want to hear, that is, unwanted sound, is collectively referred to as noise. When noise has an adverse effect on people and the surrounding environment, noise pollution is formed. Since the Industrial Revolution, the creation and use of various mechanical equipment has brought prosperity and progress to mankind, but at the same time, it has also produced more and stronger noise. Noise not only damages hearing, but also induces a variety of cancer-causing and fatal diseases, and also interferes with people's lives and work.

[0003] Noise pollution monitoring is a monitoring activity for the sounds and their sources that interfere with people's study, work and life. The main work content of the activity is noise monitoring in various functional areas of the city, road traffic noise monitoring, regional environmental noise monitoring and noise source monitoring. The noise monitoring results are generally expressed in A-weighted sound level (abbreviated as A sound level), which is calculated as dBA.

[0004] Existing noise monitoring generally involves setting up noise decibel sensors at fixed locations to collect surrounding sounds and then wirelessly transmit them to a server. However, this method is only applicable to small areas. If it is used in an entire city, the number of collection points to be laid in the entire city will be very large and the cost will be high. Summary of the invention

[0005] The purpose of the present invention is to provide an urban sound environment quality monitoring system and method based on the Internet of Things to solve the above problems.

[0006] In order to achieve these objects and other advantages according to the present invention:

[0007] In the first aspect, an urban sound environment quality monitoring system based on the Internet of Things comprises:

[0008] The bus collection point is set on the bus to collect the sound information around the bus;

[0009] The bus stop collection point is set on the top of the bus stop and is used to collect the sound information collected by the bus collection point;

[0010] The server receives the sound information collected from the bus station collection point.

[0011] In a possible design, the bus collection point includes a noise sensor, a positioning module and a bus wireless transmission module, and the bus wireless transmission module sends the data collected by the noise sensor and the positioning module to the bus stop collection point.

[0012] In one possible design, the bus stop collection point includes a short-range wireless transceiver module and a long-range wireless transceiver module.

[0013] In one possible design, a data collection drone is also included, which is set up at the collection point of the bus stop and starts collecting data at a fixed time.

[0014] In a second aspect, a method for monitoring urban sound environment quality based on the Internet of Things comprises the following steps:

[0015] S100: The bus collection point follows the bus and collects surrounding sound information along the way, and collects all sound information of the bus during its movement;

[0016] S200: When the bus arrives at the station, the bus collection point sends the collected information to the bus station collection point;

[0017] S300: The bus station collection point starts the collection program regularly, starts the collection drone, and collects the sound information of the surrounding area;

[0018] S400: The bus station collection point sends the collected information to the server at a regular interval.

[0019] In one possible design, in step S3, the collection procedure of the bus station collection point includes:

[0020] S301: The city area includes a number of bus station collection points, which are connected to form a number of triangles. All the triangular areas do not include other bus station collection points except the bus station collection points with three vertices, and all the triangular areas are combined into a city area;

[0021] S302: Take any bus stop collection point, which is the vertex of multiple triangles, and use a collection drone to patrol the multiple triangle areas along a set route in a loop to collect sound information.

[0022] In a possible design, in step S302, the bus stop collection point is the vertices of N triangles, where N is a natural number. The collection drone is started to patrol the first triangle area. After the collection drone completes the patrol, it returns to the bus stop collection point and waits for the set time.

[0023] The collection drone is started again to patrol the second triangular area. After the patrol is completed, the collection drone returns to the collection point at the bus stop and waits for the set time;

[0024] Similarly, the collection drone at the collection point of the bus station completes the patrol of all triangular areas; and after waiting for the set time, it cycles through the patrol of 1-n triangular areas again.

[0025] In a possible design, in step S302, the route planning of the drone patrolling in the triangular area is collected:

[0026] Get the inner point of the triangle, calculate the distance between the inner point and the three sides as R, and obtain the collection radius r of the collection drone;

[0027] When r is greater than R, the drone flies straight to the inner point and then returns;

[0028] When r is less than R, calculate R=nr+X, where n is a natural number. The vertical line segment from the inner point to the three sides is called the midline, and each midline is divided into n+1 segments, that is, each midline obtains n midpoints. Obtain two midlines corresponding to the vertex where the collection drone is located, named the first midline and the second midline. The first midline is set with the first midpoint, the second midpoint, ..., the n-1th midpoint and the nth midpoint, and the midpoints on the second midline correspond to the midpoints on the first midline one by one. The collection drone flies straight to the first midpoint of the first midline. point, the collection drone flies again to the midpoint on the second midline corresponding to the first midpoint, and then the collection drone flies straight back to the vertex again; the collection drone flies straight back to the second midpoint on the first midline again, and then flies again to the midpoint on the second midline corresponding to the second midpoint, and then the collection drone flies straight back to the vertex again; and so on, the collection drone flies straight back to the nth midpoint on the first midline, and then the collection drone flies again to the midpoint on the second midline corresponding to the nth midpoint, and then the collection drone flies straight back to the vertex again.

[0029] The present invention has at least the following beneficial effects: the present invention adopts a noise sensor designed on a bus to collect sound data along the route through the running of the bus, with a large range and low cost;

[0030] The present invention designs a collection point at a bus stop to collect the collection data of the passing bus collection points, and then sends it to the server through a remote transmission module. It is not necessary to design a remote transmission module at the bus collection point, thus saving costs.

[0031] The present invention designs a collection drone on the bus stop to collect the surroundings, and divides the entire city into several triangles with the bus stop as the point. The collection drone on each bus stop collects the corresponding area, but the areas collected by the collection drones on the three vertices of the triangle are combined to include all the areas of the triangle, and all the triangles are combined to form the entire city area, so the present invention can monitor the environmental sound of the entire city.

[0032] Other advantages, objectives and features of the present invention will be embodied in part through the following description, and in part will be understood by those skilled in the art through study and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0034] Figure 2 It is a schematic diagram of the process of the present invention;

[0035] Figure 3 It is a schematic diagram of a certain number of triangles filling the area at the known points;

[0036] Figure 4 Schematic diagram of the drone patrol points in the triangle. DETAILED DESCRIPTION

[0037] The present invention is described in further detail below.

[0038] The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present specification. Instead, they are merely examples of devices and methods consistent with some aspects of the present specification as detailed in the appended claims.

[0039] The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit this specification. The singular forms "a", "the" and "the" used in this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0040] It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0041] First, as Figure 1 , an urban sound environment quality monitoring system based on the Internet of Things, comprising:

[0042] The bus collection point is set on the bus to collect the sound information around the bus;

[0043] The bus stop collection point is set on the top of the bus stop and is used to collect the sound information collected by the bus collection point;

[0044] The server receives the sound information collected from the bus station collection point.

[0045] In the present invention, the bus collection point includes a noise sensor, a positioning module and a bus wireless transmission module. The bus wireless transmission module sends the data collected by the noise sensor and the positioning module to the bus stop collection point. It is generally designed on the top of the bus to collect sound information on the street. Of course, it also includes a battery. It is integrated into a square box shape and can be connected to the bus power supply system to be powered by the bus. The bus stop collection point includes a short-range wireless transceiver module and a long-range wireless transceiver module. It is generally designed on the top of the platform. A battery is also designed and powered by the platform's power supply system. The server is a computer designed with a wireless receiving module for receiving data sent by all bus stops.

[0046] Among them, at the bus collection point, the real-time sound information collected by the noise sensor is inserted with location information and time information. After being transmitted to the server, the server can obtain the sound information at the corresponding time and location. That is, the noise sensor not only has data collection function, but also has data processing function. The model adopts CRY2110, and there is an acquisition memory for storing information. The positioning module and the wireless transmission module are both commonly used electronic components, which will not be described here.

[0047] At the collection point of the bus station, a short-range wireless transceiver module is designed for data communication with the bus collection point. Both the short-range wireless transceiver module and the bus wireless transmission module use the NRF2401AG RF transceiver, and the long-range wireless transceiver module uses a 4G module. Generally, a processor and a collection memory are also provided. After receiving the information from the bus collection point, it is first temporarily stored in the collection memory, and all the information is sent to the server at a fixed time according to the set program, and the collection memory is stored in the case.

[0048] A drone warehouse is designed at the collection point of the bus stop. The collection drone is placed in the drone warehouse, and it can start collection at a scheduled time. The design of the bus stop is generally to set up a corresponding platform on each side of the street. When designing, it is only necessary to design a drone warehouse in one of the corresponding platforms.

[0049] The collection drone is an existing technology. A drone noise sensor is designed under the rotor drone to collect sound information. A drone positioning module and a drone controller are also designed, as well as a drone wireless transceiver module. The drone positioning module is an existing locator, and the drone controller also uses an existing processor. The drone wireless transceiver module uses a 4G module. When the collection drone is parked in the drone warehouse, it can be charged, either wirelessly or wired.

[0050] Second, as Figure 2 , a method for monitoring urban sound environment quality based on the Internet of Things, comprising the following steps:

[0051] S100: The bus collection point follows the bus and collects surrounding sound information along the way, and collects all sound information of the bus during its movement;

[0052] S200: When the bus arrives at the station, the bus collection point sends the collected information to the bus station collection point;

[0053] S300: The bus station collection point starts the collection program regularly, starts the collection drone, and collects the sound information of the surrounding area;

[0054] S400: The bus station collection point sends the collected information to the server at a regular interval.

[0055] For monitoring of the urban sound environment, the existing bus network is relatively rich. By using collection points on the buses, we can collect sound information from all streets. Combined with collection drones on bus stops, we can collect data within a radius of 1 kilometer, which is enough to monitor the sound environment of the entire city.

[0056] However, the above method cannot guarantee collection in all areas because the distance between bus stops and the design of the streets are uncontrollable.

[0057] Therefore, the present invention also ensures the integrity of the collection by designing a patrol method. First, the regional layout is described. In step S3, the collection procedure of the bus station collection point includes:

[0058] S301: The city area includes a number of bus station collection points, which are connected to form a number of triangles. All the triangular areas do not include other bus station collection points except the bus station collection points with three vertices, and all the triangular areas are combined into a city area;

[0059] After designing several points in an area, several triangles can be formed by connecting adjacent points, and these triangles can fill the entire area. This is common sense and will not be elaborated. Figure 3 shown.

[0060] S302: Take any bus stop collection point, which is the vertex of multiple triangles, and use a collection drone to patrol the multiple triangle areas along a set route in a loop to collect sound information.

[0061] In step S302, the bus stop collection point is the vertices of N triangles, where N is a natural number. The collection drone is started to patrol the first triangle area. After the collection drone completes the patrol, it returns to the bus stop collection point and waits for the set time.

[0062] The collection drone is started again to patrol the second triangular area. After the patrol is completed, the collection drone returns to the collection point at the bus stop and waits for the set time;

[0063] Similarly, the collection drone at the collection point of the bus station completes the patrol of all triangular areas; and after waiting for the set time, it cycles through the patrol of 1-n triangular areas again.

[0064] When all triangular areas are patrolled, the entire city area is also patrolled. Figure 3 , there are six triangles at point A, then the collection drone patrols these six triangles, and randomly marks the six triangles with numbers 1-6, and patrols in the order of 1-6. Generally, the numbers are not randomly marked, and they are sorted counterclockwise or clockwise. Of course, this patrol method is still relatively random and has overlap. Let's design the patrol rules within the triangle:

[0065] In step S302, the route planning of the drone patrolling in the triangular area is collected:

[0066] Get the inner point of the triangle, calculate the distance between the inner point and the three sides as R, and obtain the collection radius r of the collection drone; the inner point of the triangle is the center of the inscribed circle. Figure 3 In triangle ABC, the interior point is O, Ox=Oy=Oz=R.

[0067] When r is greater than R, the drone flies straight to the inner point and then returns; Figure 4 In the figure, taking point A as an example, the drone can clearly collect the sound within a radius of r. AOx and AOy are both right triangles, so when r is greater than R, the drone can collect sound information in all areas of AOx and AOy when moving along the AO straight line.

[0068] When r is less than R, calculate R=nr+X, where n is a natural number. The vertical line segment from the inner point to the three sides is called the midline, and each midline is divided into n+1 segments, that is, each midline obtains n midpoints. Obtain two midlines corresponding to the vertex where the collection drone is located, named the first midline and the second midline. The first midline is set with the first midpoint, the second midpoint, ..., the n-1th midpoint and the nth midpoint, and the midpoints on the second midline correspond to the midpoints on the first midline one by one. The collection drone flies straight to the first midpoint of the first midline. point, the collection drone flies again to the midpoint on the second midline corresponding to the first midpoint, and then the collection drone flies straight back to the vertex again; the collection drone flies straight back to the second midpoint on the first midline again, and then flies again to the midpoint on the second midline corresponding to the second midpoint, and then the collection drone flies straight back to the vertex again; and so on, the collection drone flies straight back to the nth midpoint on the first midline, and then the collection drone flies again to the midpoint on the second midline corresponding to the nth midpoint, and then the collection drone flies straight back to the vertex again.

[0069] When r is less than R, such as Figure 4 In the figure, n=3, Ox is divided into 4 segments with 3 midpoints, x1, x2 and x3. x1 can be set as the first midpoint, x2 as the second midpoint, and x3 as the third midpoint. Oy is also divided into 4 segments with 3 midpoints, y1, y2 and y3, where y1 corresponds to x1, y2 corresponds to x2, and y3 corresponds to x3. The specific route of the collection drone is Ax1→x1y1→y1A→Ax2→x2y2→y2A→Ax3→x3y3→y3A.

[0070] Among them, Ox1=x1x2=x2x3=x3x=Oy1=y1y2=y2y3=y3y=R / 4≤r, so the collection drone can cover AOx and AOy in the moving collection area.

[0071] This setting ensures coverage and also avoids excessive overlap when drone patrols depart from three points ABC.

[0072] Although the embodiments of the present invention have been disclosed as above, they are not limited to the applications listed in the specification and the implementation modes, and they can be fully applied to various fields suitable for the present invention. For those familiar with the art, additional modifications can be easily implemented. Therefore, without departing from the general concept defined by the claims and the scope of equivalents, the present invention is not limited to the specific details and the illustrations shown and described herein.

Claims

1. A method for monitoring urban acoustic environment quality based on the Internet of Things, characterized in that: The following steps are involved: S100: The bus collection point follows the bus and collects surrounding sound information along the way, and collects all sound information of the bus during its movement; S200: When the bus arrives at the station, the bus collection point sends the collected information to the bus station collection point; S300: The bus station collection point starts the collection program regularly, starts the collection drone, and collects the sound information of the surrounding area; S400: The bus station collection point sends the collected information to the server at a regular interval; In step S300, the collection procedure of the bus station collection point includes: S301: The city area includes a number of bus station collection points, which are connected to form a number of triangles. All the triangular areas do not include other bus station collection points except the bus station collection points with three vertices. All the triangular areas are combined into a city area. S302: Take any bus station collection point, which is the vertex of multiple triangles, and patrol the multiple triangle areas along a set route through a collection drone to collect sound information; In step S302, the bus station collection point is the vertices of N triangles, where N is a natural number. The collection drone is started to patrol the first triangle area. After the patrol is completed, the collection drone returns to the bus station collection point and waits for the set time. The collection drone is started again to patrol the second triangle area. After the patrol is completed, the collection drone returns to the bus station collection point and waits for the set time. By analogy, the collection drone in the bus station collection point completes the patrol of all triangle areas. After waiting for the set time, the patrol of triangle areas 1-n is cycled again. In step S302, the route planning of the drone patrolling in the triangular area is collected: Get the inner point of the triangle, calculate the distance between the inner point and the three sides as R, and obtain the collection radius r of the collection drone; When r is greater than R, the drone flies straight to the inner point and then returns; When r is less than R, calculate R=nr+X, where n is a natural number. The vertical line segment from the inner point to the three sides is called the midline, and each midline is divided into n+1 segments, that is, each midline obtains n midpoints. Obtain two midlines corresponding to the vertex where the collection drone is located, named the first midline and the second midline. The first midline is set with the first midpoint, the second midpoint, ..., the n-1th midpoint and the nth midpoint, and the midpoints on the second midline correspond to the midpoints on the first midline one by one. The collection drone flies straight to the first midpoint of the first midline. point, the collection drone flies again to the midpoint on the second midline corresponding to the first midpoint, and then the collection drone flies straight back to the vertex again; the collection drone flies straight back to the second midpoint on the first midline again, and then flies again to the midpoint on the second midline corresponding to the second midpoint, and then the collection drone flies straight back to the vertex again; and so on, the collection drone flies straight back to the nth midpoint on the first midline, and then the collection drone flies again to the midpoint on the second midline corresponding to the nth midpoint, and then the collection drone flies straight back to the vertex again.

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