阅读说明：本技术 基于大数据服务的黄沙预警方法 (Yellow sand early warning method based on big data service ) 是由 杨文娟 于 2020-03-17 设计创作，主要内容包括：本发明涉及一种基于大数据服务的黄沙预警方法,所述方法包括使用基于大数据服务的黄沙预警平台以在大数据服务的基础上对预设城市区域内未执行黄沙覆盖的区域执行预警操作。(The invention relates to a yellow sand early warning method based on big data service, which comprises the step of using a yellow sand early warning platform based on big data service to carry out early warning operation on an area which is not covered by yellow sand in a preset urban area on the basis of the big data service.)

1. A big data service-based yellow sand early warning method comprises the step of using a big data service-based yellow sand early warning platform to perform early warning operation on areas which are not covered by yellow sand in a preset urban area on the basis of a big data service, wherein the big data service-based yellow sand early warning platform comprises the following steps:

the data receiving and transmitting mechanism is arranged at the top of a building with the height exceeding a preset height threshold value in a city and is used for regularly receiving weather information of the area where the building is located;

the big data server is arranged in a city, is connected with a plurality of data receiving and transmitting mechanisms in the city through a network and is used for providing weather information of the areas where the data receiving and transmitting mechanisms are respectively positioned for the data receiving and transmitting mechanisms in the city;

the content judgment equipment is arranged near the data transceiving mechanism, is connected with the data transceiving mechanism and is used for sending a first driving command when the wind speed level in the received weather information exceeds the limit, or sending a second driving command;

the panoramic capturing device is arranged at the top of the building where the data transceiver is located, connected with the content judgment device and used for starting an image capturing action on a scene below the building where the data transceiver is located to output a below panoramic image when receiving the first driving command;

the signal sharpening device is connected with the panoramic capturing device and is used for carrying out edge sharpening processing on the received lower panoramic image so as to obtain and output a corresponding signal sharpened image;

the yellow sand detection device is connected with the signal sharpening device and used for judging whether each pixel point in the signal sharpened image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component;

the pixel fitting equipment is connected with the yellow sand detection equipment and used for performing fitting processing on each yellow sand pixel point in the signal sharpened image to obtain a corresponding yellow sand imaging area;

and the data transceiver is further used for wirelessly sending a yellow sand uncovered signal to a server of a public management center in the area of the building where the data transceiver is located when the area percentage of the received yellow sand imaging area occupying the signal sharpened image is greater than or equal to a preset percentage, and otherwise, sending a yellow sand uncovered signal.

2. The method of claim 1, wherein the platform further comprises:

a concentration detection device disposed at the top of the building for measuring a real-time dust concentration near the top of the building;

the data transceiver is also connected with the concentration detection equipment and used for sending the real-time dust concentration to a server of a public management center of an area where the building where the data transceiver is located.

3. The method of claim 2, wherein:

judging whether each pixel point in the signal sharpening image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component comprises the following steps: and when the color component value of the pixel point in the signal sharpening image falls within the distribution range of the yellow sand color component, judging that the pixel point is a yellow sand pixel point.

4. The method of claim 3, wherein:

judging whether each pixel point in the signal sharpening image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component comprises the following steps: and when the color component value of the pixel point in the signal sharpening image does not fall within the distribution range of the yellow sand color component, judging that the pixel point is a non-yellow sand pixel point.

5. The method of claim 4, wherein:

the distribution range of the yellow sand color component is one or more of a distribution range of a yellow sand red component, a distribution range of a yellow sand green component or a distribution range of a yellow sand blue component.

6. The method of claim 5, wherein:

the yellow-sand-red component distribution range is numerically defined by a preset red upper-limit threshold and a preset red lower-limit threshold, the preset red upper-limit threshold is larger than the preset red lower-limit threshold, and the values of the preset red upper-limit threshold and the preset red lower-limit threshold are both 0-255;

the distribution range of the yellow sand blue component is numerically defined by a preset blue upper limit threshold and a preset blue lower limit threshold, the preset blue upper limit threshold is larger than the preset blue lower limit threshold, and the values of the preset blue upper limit threshold and the preset blue lower limit threshold are both 0-255;

the distribution range of the yellow sand green components is numerically defined by a preset green upper limit threshold and a preset green lower limit threshold, the preset green upper limit threshold is larger than the preset green lower limit threshold, and values of the preset green upper limit threshold and the preset green lower limit threshold are both 0-255.

7. The method of claim 6, wherein:

the panoramic capturing device is further used for stopping image capturing action on a scene under the building where the data transceiver is located when the second driving command is received.

8. The method of claim 7, wherein:

the data transceiver comprises a timer and a frequency division communication device, and the frequency division communication device is connected with the timer;

the timer is used for providing a clock reference for the data transceiver to receive the weather information of the area where the building is located in a timing mode.

9. The method of claim 8, wherein:

the frequency division communication equipment is connected with the big data server through a network and is used for receiving weather information of the area where the building is located at regular time;

the data receiving and sending mechanism receives weather information of the area where the building is located at regular time, wherein the weather information comprises a wind speed grade, an air temperature, humidity and a haze grade.

Technical Field

The invention relates to the field of big data service, in particular to a yellow sand early warning method based on big data service.

Background

The dust is an open pollution source which enters the atmosphere due to the fact that dust on the ground is driven by wind power, people and the like to fly, and is an important component of total suspended particles in the ambient air.

The method utilizes rainwater resources to immediately clean and wash muddy water accumulated on roads after rainfall, is the most effective means for avoiding dust repeatedly formed after the soil on the roads is dried by air, can avoid dust formed by cleaning in sunny days, can greatly save cleaning water, and is a measure to be immediately taken in vast towns.

When the design and the construction of hardened road, pay attention to and strictly adopt reasonable horizontal slope of road surface and road edge drainage design, utilize natural rainfall runoff to erode clean road surface dust, can play the effect of doing half the effort doubly to reduce the raise dust pollution, be the important long-term measure of administering the raise dust pollution.

In rapidly developing domestic cities, like large industrial areas, construction site dust emission increasingly becomes an important factor harming air quality of cities. Through special research, 10 g of soil can pollute a place with 200 square meters at least through repeated rolling and driving of air flow.

However, because there are many cities and there are multiple sites in each city, the previous monitoring mechanism has not been able to meet the requirement of sand blowing monitoring at the sites of the cities, and a hardware facility like a big data server is needed to provide corresponding big data support.

Disclosure of Invention

In order to solve the technical problems in the related field, the invention provides a yellow sand early warning method based on big data service, which can adopt a distributed management mode to carry out instant detection and early warning on the yellow sand coverage condition of each area in a city, and more importantly, adopts a big data supply mode and a wind speed-based detection trigger mode, thereby improving the intelligent level of city management.

Therefore, the invention at least needs to have the following two key points:

(1) by adopting a mode of urban distributed high-rise detection, when the wind speed in the weather information of the local area is acquired to exceed the limit, the yellow sand coverage condition in the area below the high-rise corresponding to the area is started to be detected, so that the urban management level is improved;

(2) the big data server arranged in the city is introduced to be connected with a plurality of data transceiver mechanisms in the city through a network and is used for providing weather information of the region where the data transceiver mechanisms are respectively arranged for the plurality of data transceiver mechanisms in the city.

According to an aspect of the present invention, there is provided a big data service-based yellow sand early warning method, the method including using a big data service-based yellow sand early warning platform to perform early warning operations on an area not covered by yellow sand in a preset urban area on the basis of a big data service, the big data service-based yellow sand early warning platform including:

the data receiving and transmitting mechanism is arranged at the top of a building with the height exceeding a preset height threshold value in a city and is used for regularly receiving weather information of the area where the building is located;

the big data server is arranged in a city, is connected with a plurality of data receiving and transmitting mechanisms in the city through a network and is used for providing weather information of the areas where the data receiving and transmitting mechanisms are respectively positioned for the data receiving and transmitting mechanisms in the city;

the content judgment equipment is arranged near the data transceiving mechanism, is connected with the data transceiving mechanism and is used for sending a first driving command when the wind speed level in the received weather information exceeds the limit, or sending a second driving command;

the panoramic capturing device is arranged at the top of the building where the data transceiver is located, connected with the content judgment device and used for starting an image capturing action on a scene below the building where the data transceiver is located to output a below panoramic image when receiving the first driving command;

the signal sharpening device is connected with the panoramic capturing device and is used for carrying out edge sharpening processing on the received lower panoramic image so as to obtain and output a corresponding signal sharpened image;

the yellow sand detection device is connected with the signal sharpening device and used for judging whether each pixel point in the signal sharpened image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component;

the pixel fitting equipment is connected with the yellow sand detection equipment and used for performing fitting processing on each yellow sand pixel point in the signal sharpened image to obtain a corresponding yellow sand imaging area;

and the data transceiver is further used for wirelessly sending a yellow sand uncovered signal to a server of a public management center in the area of the building where the data transceiver is located when the area percentage of the received yellow sand imaging area occupying the signal sharpened image is greater than or equal to a preset percentage, and otherwise, sending a yellow sand uncovered signal.

The yellow sand early warning method based on big data service is convenient to manage and wide in application. The yellow sand coverage state of each region of the city is effectively monitored and early warned on the basis of big data service, so that a scene with serious dust emission in the city is avoided.

Drawings

Embodiments of the invention will now be described with reference to the accompanying drawings, in which:

fig. 1 is a schematic diagram of a working environment of a yellow sand early warning method based on big data service according to the present invention.

Fig. 2 is a block diagram illustrating a structure of a big data service-based yellow sand early warning platform according to a first embodiment of the present invention.

Fig. 3 is a block diagram illustrating a structure of a big data service-based yellow sand early warning platform according to a second embodiment of the present invention.

Detailed Description

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

Currently, in some countries and regions, especially in developing countries and regions, construction sites are distributed in various regions within cities, where yellow sand on construction sites is an important factor in urban air pollution. However, on one hand, due to the wide distribution area and the difficulty in monitoring, and on the other hand, it is sometimes unnecessary to maintain uninterrupted monitoring operation, for example, in the absence of wind, so there is a need for a city yellow sand area monitoring mechanism with a high intelligence level to perform effective synchronous monitoring operation on uncovered yellow sand in each area in the city.

In order to overcome the defects, the invention builds a yellow sand early warning method based on big data service, the method comprises the step of using a yellow sand early warning platform based on big data service to carry out early warning operation on the area which is not covered by yellow sand in the preset urban area on the basis of big data service, and the yellow sand early warning platform based on big data service can effectively solve the corresponding technical problem.

Fig. 1 is a schematic diagram of a working environment of a yellow sand early warning method based on big data service according to the present invention, and the technical content of the present invention will be further embodied by using one or more embodiments.

< first embodiment >

Fig. 2 is a block diagram illustrating a structure of a big data service-based yellow sand early warning platform according to a first embodiment of the present invention, where the platform includes:

the data receiving and transmitting mechanism is arranged at the top of a building with the height exceeding a preset height threshold value in a city and is used for regularly receiving weather information of the area where the building is located;

the big data server is arranged in a city, is connected with a plurality of data receiving and transmitting mechanisms in the city through a network and is used for providing weather information of the areas where the data receiving and transmitting mechanisms are respectively positioned for the data receiving and transmitting mechanisms in the city;

the content judgment equipment is arranged near the data transceiving mechanism, is connected with the data transceiving mechanism and is used for sending a first driving command when the wind speed level in the received weather information exceeds the limit, or sending a second driving command;

the panoramic capturing device is arranged at the top of the building where the data transceiver is located, connected with the content judgment device and used for starting an image capturing action on a scene below the building where the data transceiver is located to output a below panoramic image when receiving the first driving command;

the signal sharpening device is connected with the panoramic capturing device and is used for carrying out edge sharpening processing on the received lower panoramic image so as to obtain and output a corresponding signal sharpened image;

the yellow sand detection device is connected with the signal sharpening device and used for judging whether each pixel point in the signal sharpened image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component;

the pixel fitting equipment is connected with the yellow sand detection equipment and used for performing fitting processing on each yellow sand pixel point in the signal sharpened image to obtain a corresponding yellow sand imaging area;

and the data transceiver is further used for wirelessly sending a yellow sand uncovered signal to a server of a public management center in the area of the building where the data transceiver is located when the area percentage of the received yellow sand imaging area occupying the signal sharpened image is greater than or equal to a preset percentage, and otherwise, sending a yellow sand uncovered signal.

< second embodiment >

Fig. 3 is a block diagram illustrating a structure of a big data service-based yellow sand early warning platform according to a second embodiment of the present invention, where the platform includes:

a concentration detection device disposed at a top of a building for measuring a real-time dust concentration near the top of the building;

the data receiving and transmitting mechanism is arranged at the top of a building with the height exceeding a preset height threshold value in a city and is used for regularly receiving weather information of the area where the building is located;

the big data server is arranged in a city, is connected with a plurality of data receiving and transmitting mechanisms in the city through a network and is used for providing weather information of the areas where the data receiving and transmitting mechanisms are respectively positioned for the data receiving and transmitting mechanisms in the city;

the content judgment equipment is arranged near the data transceiving mechanism, is connected with the data transceiving mechanism and is used for sending a first driving command when the wind speed level in the received weather information exceeds the limit, or sending a second driving command;

the panoramic capturing device is arranged at the top of the building where the data transceiver is located, connected with the content judgment device and used for starting an image capturing action on a scene below the building where the data transceiver is located to output a below panoramic image when receiving the first driving command;

the signal sharpening device is connected with the panoramic capturing device and is used for carrying out edge sharpening processing on the received lower panoramic image so as to obtain and output a corresponding signal sharpened image;

the yellow sand detection device is connected with the signal sharpening device and used for judging whether each pixel point in the signal sharpened image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component;

the pixel fitting equipment is connected with the yellow sand detection equipment and used for performing fitting processing on each yellow sand pixel point in the signal sharpened image to obtain a corresponding yellow sand imaging area;

the data receiving and sending mechanism is further used for wirelessly sending a yellow sand uncovered signal to a server of a public management center in the area of the building where the data receiving and sending mechanism is located when the area percentage of the received yellow sand imaging area occupying the signal sharpened image is larger than or equal to a preset percentage, otherwise, sending a yellow sand uncovered signal;

the data transceiver is also connected with the concentration detection equipment and used for sending the real-time dust concentration to a server of a public management center of an area where the building where the data transceiver is located.

Next, the detailed structure of the yellow sand early warning platform based on big data service of the present invention will be further described.

In the yellow sand early warning platform based on big data service:

judging whether each pixel point in the signal sharpening image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component comprises the following steps: and when the color component value of the pixel point in the signal sharpening image falls within the distribution range of the yellow sand color component, judging that the pixel point is a yellow sand pixel point.

In the yellow sand early warning platform based on big data service:

judging whether each pixel point in the signal sharpening image belongs to a yellow sand pixel point forming a yellow sand imaging area or not based on the distribution range of the yellow sand color component comprises the following steps: and when the color component value of the pixel point in the signal sharpening image does not fall within the distribution range of the yellow sand color component, judging that the pixel point is a non-yellow sand pixel point.

In the yellow sand early warning platform based on big data service:

the distribution range of the yellow sand color component is one or more of a distribution range of a yellow sand red component, a distribution range of a yellow sand green component or a distribution range of a yellow sand blue component.

In the yellow sand early warning platform based on big data service:

the yellow-sand-red component distribution range is numerically defined by a preset red upper-limit threshold and a preset red lower-limit threshold, the preset red upper-limit threshold is larger than the preset red lower-limit threshold, and the values of the preset red upper-limit threshold and the preset red lower-limit threshold are both 0-255;

the distribution range of the yellow sand blue component is numerically defined by a preset blue upper limit threshold and a preset blue lower limit threshold, the preset blue upper limit threshold is larger than the preset blue lower limit threshold, and the values of the preset blue upper limit threshold and the preset blue lower limit threshold are both 0-255;

the distribution range of the yellow sand green components is numerically defined by a preset green upper limit threshold and a preset green lower limit threshold, the preset green upper limit threshold is larger than the preset green lower limit threshold, and values of the preset green upper limit threshold and the preset green lower limit threshold are both 0-255.

In the yellow sand early warning platform based on big data service:

the panoramic capturing device is further used for stopping image capturing action on a scene under the building where the data transceiver is located when the second driving command is received.

In the yellow sand early warning platform based on big data service:

the data transceiver comprises a timer and a frequency division communication device, and the frequency division communication device is connected with the timer;

the timer is used for providing a clock reference for the data transceiver to receive the weather information of the area where the building is located in a timing mode.

In the yellow sand early warning platform based on big data service:

the frequency division communication equipment is connected with the big data server through a network and is used for receiving weather information of the area where the building is located at regular time;

the data receiving and sending mechanism receives weather information of the area where the building is located at regular time, wherein the weather information comprises a wind speed grade, an air temperature, humidity and a haze grade.

In addition, in the yellow sand early warning platform based on the big data service, a CPLD device can be adopted to realize the signal sharpening device.

The Complex Programmable Logic Device (CPLD) is developed from PAL and GAL devices, and is relatively large in scale and complex in structure, belonging to the field of large scale integrated circuit. The digital integrated circuit is a digital integrated circuit which is used by a user to construct logic functions according to respective needs. The basic design method is to generate corresponding target files by means of an integrated development software platform and methods such as schematic diagrams, hardware description languages and the like, and to transmit codes to a target chip through a download cable (programming in the system) so as to realize the designed digital system.

CPLDs are mainly composed of programmable interconnected matrix cells surrounded by programmable logic Macro cells (MC, Macro cells). The MC structure is complex and has a complex I/O unit interconnection structure, and a user can generate a specific circuit structure according to the requirement to complete a certain function. Because the CPLD adopts metal wires with fixed length to interconnect each logic block, the designed logic circuit has time predictability, and the defect of incomplete time sequence prediction of a sectional type interconnection structure is avoided.

Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.