Water environment dynamic monitoring method based on Internet of Things

Abstract

The invention relates to a water environment dynamic monitoring method based on the Internet of Things. The method comprises the following steps: S1, delimiting the radiation range and spacing of a single monitoring point in a monitored water area; s2, setting monitoring data indexes including monitoring indexes and standard value ranges of the indexes; s3, configuring a floating monitoring device at the initial monitoring point in the step S1, and additionally installing a water flow direction detection device, a depth detection device and a river section detection device; s4, performing real-time position adjustment on the floating monitoring equipment according to the water flow direction and the water surface width and depth data; and S5, dynamically receiving the returned data, and recording and analyzing the returned data. The method has the advantages of dynamic adjustment and small detection data error.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality detection, and in particular to a method for dynamic monitoring of water environment based on the Internet of Things. Background Art

[0002] Water environment refers to the space where water is formed, distributed and transformed in nature. It refers to the natural environment surrounding human space and water bodies that can directly or indirectly affect human life and development, and the overall natural factors and related social factors of its normal function. Some also refer to the space where relatively stable natural water bodies with land as their boundaries are located.

[0003] Water environment monitoring can obtain water quality data in real time, quickly identify pollution and its source, and determine the direction of subsequent water application and treatment. Therefore, monitoring is very necessary. At present, most water environment detections are carried out by placing the detection equipment fixedly in the water to be tested, and the purpose of monitoring is achieved through real-time data transmission. However, for flowing water bodies, there are dynamic changes in the width, depth and flow direction of the water body. The data deviations of the monitoring points are often large or temporarily unable to work, and the purpose of dynamic detection cannot be achieved. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by this patent application is how to provide a dynamic monitoring method for water environment based on the Internet of Things with dynamic adjustment and small detection data error.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0006] A method for dynamic monitoring of water environment based on the Internet of Things, comprising the following steps:

[0007] S1: Delineate the radiation range and spacing of individual monitoring points in the monitoring waters;

[0008] S2: Setting monitoring data indicators, including monitoring indicators and standard numerical ranges of indicators;

[0009] S3: Configuring a floating monitoring device at the initial monitoring point in step S1, and installing a water flow direction detection device, a depth detection device, and a river section detection device;

[0010] S4: Real-time position adjustment of floating monitoring equipment according to water flow direction, water surface width and depth data;

[0011] S5: Dynamically receive the returned data and record and analyze it.

[0012] As an optimization, in step S1, the radiation range is defined with the monitoring point as the center; the spacing is the distance between two monitoring points, and the spacing is greater than the radiation radius.

[0013] As an optimization, in step S2, the standard value range is mainly based on national standards and industry standards, and a data comparison library is established. The values ​​are compared synchronously through real-time monitoring. If the threshold is exceeded, a prompt reminder is given, and dynamic real-time monitoring is carried out within the threshold range.

[0014] As an optimization, the floating monitoring equipment in step S3 is a data collector installed on an unmanned boat, the unmanned boat is equipped with a lifting anchor, the depth detection equipment is an ultrasonic water level depth detector, and the river section detection equipment is two image collectors installed on the unmanned boat. The two image collectors are in opposite directions, and the water surface width of the monitoring point location is determined through image processing based on the data collected in real time.

[0015] As an optimization, in step S3, the water flow direction detection device is a water flow indicator installed at a downstream position of the unmanned boat.

[0016] As an optimization, in step S4, when adjusting the position in real time, the main detection line is adjusted and set along the water flow direction according to the direction of the water flow indicator, that is, the dynamic monitoring points are set along the water flow direction, marked as main 1, main 2, main 3...main n, and auxiliary monitoring points are adjusted and set on both sides of any monitoring point of the main detection line, marked as auxiliary n1 and auxiliary n2 respectively.

[0017] As an optimization, in step S4, if the distance between auxiliary monitoring points on one side of any main monitoring point makes it impossible for them to be located on the water surface, the distance can be dynamically adjusted.

[0018] As an optimization, in step S4, if any main monitoring point is too close to the shore, the two auxiliary monitoring points can be located on the same side, but the spacing between them must be uniform.

[0019] As an optimization, in step S5, the received data, for any detection position, simultaneously receives the data of the main monitoring point and the auxiliary monitoring point and calculates the weighted average, and compares it with the data comparison library.

[0020] The present invention has the following advantages:

[0021] This solution can complete dynamic real-time monitoring of flowing waters. Since the flow direction of flowing water often changes, this solution adds flow direction detection and dynamically adjusts the position of monitoring points to realize data collection along the flow direction. In order to address the lack of representativeness caused by the radiation range of the sampling points, auxiliary monitoring points are added on the basis of the main line, and the data of the unified section are averaged and determined, which reduces data interference and ensures the numerical reliability of dynamic monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a method for dynamic monitoring of water environment based on the Internet of Things described in the present invention.

[0023] Figure 2 This is a layout diagram of a floating detection device in a water environment dynamic monitoring method based on the Internet of Things described in the present invention. DETAILED DESCRIPTION

[0024] The present invention is further described in detail below in conjunction with the accompanying drawings. In the description of the present invention, it should be understood that the directions or positional relationships indicated by directional words such as "upper, lower" and "top, bottom" are usually based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description. Unless otherwise stated, these directional words do not indicate or imply that the devices or components referred to must have a specific direction or be constructed and operated in a specific direction, and therefore cannot be understood as limiting the scope of protection of the present invention; the directional words "inside and outside" refer to the inside and outside relative to the contours of each component itself.

[0025] like Figure 1-2 As shown, a method for dynamic monitoring of water environment based on the Internet of Things includes the following steps: S1: defining the radiation range and spacing of a single monitoring point in the monitoring water area; S2: setting monitoring data indicators, including monitoring indicators and standard numerical ranges of indicators; S3: configuring a floating monitoring device at the initial monitoring point in step S1, and additionally installing a water flow direction detection device, a depth detection device and a river section detection device; S4: adjusting the position of the floating monitoring device in real time according to the water flow direction, water surface width and depth data; S5: dynamically receiving the returned data, and recording and analyzing it.

[0026] In this embodiment, in step S1, the radiation range is defined with the monitoring point as the center; the spacing is the distance between two monitoring points, and the spacing is greater than the radiation radius.

[0027] In this embodiment, in step S2, the standard numerical range is mainly based on national standards and industry standards, and a data comparison library is established. The values ​​are monitored in real time and compared synchronously. If the threshold is exceeded, a prompt reminder is given, and dynamic real-time monitoring is performed within the threshold range.

[0028] In this embodiment, the floating monitoring equipment in step S3 is a data collector installed on an unmanned boat, and the unmanned boat is equipped with a lifting anchor. The depth detection equipment is an ultrasonic water level depth detector. The river section detection equipment is two image collectors installed on the unmanned boat. The two image collectors are oriented in opposite directions. The water surface width of the monitoring point location is determined through image processing based on the data collected in real time.

[0029] In this embodiment, in step S3, the water flow direction detection device is a water flow indicator installed at a downstream position of the unmanned boat.

[0030] In this embodiment, in step S4, when adjusting the position in real time, the main detection line is adjusted and set along the water flow direction according to the direction of the water flow indicator, that is, the dynamic monitoring points are set along the water flow direction and marked as main 1, main 2, main 3...main n, and auxiliary monitoring points are adjusted and set on both sides of any monitoring point of the main detection line and marked as auxiliary n1 and auxiliary n2 respectively.

[0031] In this embodiment, in step S4, if the distance between auxiliary monitoring points on one side of any main monitoring point makes it impossible for them to be located on the water surface, the distance can be dynamically adjusted.

[0032] In this embodiment, in step S4, if any main monitoring point is too close to the shore, the two auxiliary monitoring points may be located on the same side, but the spacing between them must be uniform.

[0033] In this embodiment, in step S5, the received data, for any detection position, simultaneously receives the data of the main monitoring point and the auxiliary monitoring point and calculates the weighted average, and compares it with the data comparison library.

[0034] The present invention has the following advantages:

[0035] This solution can complete dynamic real-time monitoring of flowing waters. Since the flow direction of flowing water often changes, this solution adds flow direction detection and dynamically adjusts the position of monitoring points to realize data collection along the flow direction. In order to address the lack of representativeness caused by the radiation range of the sampling points, auxiliary monitoring points are added on the basis of the main line, and the data of the unified section are averaged and determined, which reduces data interference and ensures the numerical reliability of dynamic monitoring.

[0036] Finally, it should be noted that those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for dynamic monitoring of water environment based on the Internet of Things, characterized in that: The following steps are involved: S1: Delineate the radiation range and spacing of individual monitoring points in the monitoring waters; S2: Setting monitoring data indicators, including monitoring indicators and standard numerical ranges of indicators; S3: Configuring a floating monitoring device at the initial monitoring point in step S1, and installing a water flow direction detection device, a depth detection device, and a river section detection device; S4: Real-time position adjustment of floating monitoring equipment according to water flow direction, water surface width and depth data; S5: Dynamically receive the returned data and record and analyze it.

2. A method for dynamic monitoring of water environment based on Internet of Things according to claim 1, characterized in that: In step S1, the radiation range is defined with the monitoring point as the center; the spacing is the distance between two monitoring points, and the spacing is greater than the radiation radius.

3. A method for dynamic monitoring of water environment based on Internet of Things according to claim 2, characterized in that: In step S2, the standard value range is mainly based on national standards and industry standards, and a data comparison library is established. The values ​​are compared synchronously through real-time monitoring. If the threshold is exceeded, a prompt reminder is given, and dynamic real-time monitoring is performed within the threshold range.

4. A method for dynamic monitoring of water environment based on Internet of Things according to claim 3, characterized in that: The floating monitoring equipment in step S3 is a data collector installed on an unmanned boat, and the unmanned boat is equipped with a lifting anchor. The depth detection equipment is an ultrasonic water level depth detector. The river section detection equipment is two image collectors installed on the unmanned boat. The two image collectors are in opposite directions. The water surface width of the monitoring point location is determined through image processing based on the data collected in real time.

5. A method for dynamic monitoring of water environment based on Internet of Things according to claim 4, characterized in that: In step S3, the water flow direction detection device is a water flow indicator installed at a downstream position of the unmanned boat.

6. A method for dynamic monitoring of water environment based on Internet of Things according to claim 5, characterized in that: In step S4, when adjusting the position in real time, the main detection line is adjusted and set along the water flow direction according to the direction of the water flow indicator, that is, the dynamic monitoring points are set along the water flow direction and marked as main 1, main 2, main 3...main n. Auxiliary monitoring points are adjusted and set on both sides of any monitoring point of the main detection line and marked as auxiliary n1 and auxiliary n2 respectively.

7. A method for dynamic monitoring of water environment based on Internet of Things according to claim 6, characterized in that: In step S4, if the distance between auxiliary monitoring points on one side of any main monitoring point makes it impossible for them to be located on the water surface, the distance can be dynamically adjusted.

8. The method for dynamic monitoring of water environment based on Internet of Things according to claim 7 is characterized in that: In step S4, if any main monitoring point is too close to the shore, the two auxiliary monitoring points can be located on the same side, but the spacing between them must be uniform.

9. The method for dynamic monitoring of water environment based on Internet of Things according to claim 8, characterized in that: In step S5, the received data, for any detection position, are simultaneously received from the main monitoring point and the auxiliary monitoring point, and weighted average calculation is performed, and then compared with the data comparison library.

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