A waterway monitoring method and system

Abstract

The present application belongs to the technical field of water area monitoring, and particularly relates to a water system monitoring method and system. The method comprises determining an upstream waterway of a current waterway according to water system distribution, acquiring a water area image of the current waterway, acquiring water quality change data of the upstream waterway, selecting a corresponding image processing model, and outputting specified water system monitoring data based on the water area image and the image processing model. According to the water system distribution, the upstream waterway of the current waterway is determined, the judgment range is expanded to the entire water system, the judgment accuracy and range can be improved, the water area image of the current waterway is acquired to facilitate data collection in the current area, the water quality change data of the upstream waterway is acquired, the corresponding image processing model is selected, the data processing efficiency and accuracy can be improved, and the specified water system monitoring data is output based on the water area image and the image processing model, the water system monitoring capability and efficiency can be improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of water area monitoring, and particularly relates to a water system monitoring method and system. BACKGROUND

[0002] Water disaster is one of the natural disasters, which can destroy soil and vegetation, and further affect human activities, so it is necessary to pay attention to weather, rivers and soil and other factors to prevent or reduce the occurrence of water disaster.

[0003] The occurrence of water disaster is caused by multiple factors such as weather, rivers and soil, and the existing monitoring means mainly measures various parameters of waterways and weather by artificial method to determine whether water disaster occurs, the process of the determination is delayed and the determination result is mainly in the current area, which has high limitations. SUMMARY

[0004] In order to solve or improve the above problems, the present application provides a water system monitoring method and system, and the specific technical scheme is as follows:

[0005] The present application provides a water system monitoring method, comprising: determining an upstream waterway of a current waterway according to water system distribution, and acquiring a water area image of the current waterway; acquiring water quality change data of the upstream waterway, and selecting a corresponding image processing model; and outputting specified water system monitoring data based on the water area image and the image processing model.

[0006] Preferably, the method further comprises: filtering branch waterways according to water injection amount and corresponding geographical parameters of the upstream waterway and giving corresponding water quality weight values; and correspondingly, the acquiring of the water quality change data of the upstream waterway comprises: acquiring water quality change data of the branch waterways, and selecting a corresponding image processing model in combination with the water quality weight values.

[0007] Preferably, the geographical parameters include geographical types, vegetation data and soil data; the water quality weight values are obtained by processing the geographical parameters and the water injection amount based on preset parameter weight values, wherein the parameter weight values are used to describe the effect and degree of the influence of the geographical parameters on the color of water.

[0008] Preferably, the image processing model is based on a neural network and is used to identify waterway shape and waterway color in the water area image, and output the water system monitoring data according to the waterway shape and the waterway color; and an injection threshold value is set according to the water injection amount of the current waterway, so as to filter the branch waterways with water injection amount greater than the injection threshold value from the upstream waterway.

[0009] Preferably, the water system monitoring data comprises water level information; the water quality change data comprises types and contents of dissolved substances, types and amounts of floating substances, and types and proportions of mixtures; correspondingly, the image processing model is configured to determine corresponding image feature data according to the water quality change data, identify waterway shapes and colors in the water area image based on the image feature data, and output the water level information according to the waterway shapes and the waterway colors.

[0010] The application provides a water system monitoring system, comprising: a first module configured to determine an upstream waterway of a current waterway according to water system distribution, and acquire a water area image of the current waterway; a second module configured to acquire water quality change data of the upstream waterway, and select a corresponding image processing model; and a third module configured to output specified water system monitoring data based on the water area image and the image processing model.

[0011] Preferably, the second module is further configured to filter branch waterways according to water injection amounts of the upstream waterway and corresponding geographical parameters, and assign corresponding water quality weights to the branch waterways; correspondingly, the acquisition of the water quality change data of the upstream waterway comprises: acquiring water quality change data of the branch waterways, and selecting a corresponding image processing model in combination with the water quality weights.

[0012] Preferably, the geographical parameters comprise geographical types, vegetation data, and soil data; the water quality weights are obtained by processing the geographical parameters and the water injection amounts based on preset parameter weights, wherein the parameter weights are used to describe effects and degrees of influences of the geographical parameters on colors of water.

[0013] Preferably, the image processing model is based on a neural network, is configured to identify waterway shapes and colors in the water area image, and output the water system monitoring data according to the waterway shapes and the waterway colors; and an injection threshold is set according to a water injection amount of the current waterway, so as to filter the branch waterways with water injection amounts greater than the injection threshold from the upstream waterway.

[0014] Preferably, the water system monitoring data comprises water level information; the water quality change data comprises types and contents of dissolved substances, types and amounts of floating substances, and types and proportions of mixtures; correspondingly, the image processing model is configured to determine corresponding image feature data according to the water quality change data, identify waterway shapes and colors in the water area image based on the image feature data, and output the water level information according to the waterway shapes and the waterway colors.

[0015] The beneficial effects of the present application are: according to the water system distribution, the upstream waterway of the current waterway is determined, the judgment range can be expanded to the entire water system, the judgment accuracy and range can be improved, and the water area image of the current waterway is obtained to facilitate data collection of the current area; the water quality change data of the upstream waterway is obtained, and the corresponding image processing model is selected, which can improve the efficiency and accuracy of data processing; based on the water area image and the image processing model, the specified water system monitoring data is output, which can improve the ability and efficiency of monitoring the water system. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 is a schematic diagram of a water system monitoring method according to the present application;

[0017] Figure 2 is a schematic diagram of a water system monitoring system according to the present application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0019] It should be understood that when used in the specification and the appended claims, the terms "comprise" and "include" indicate the presence of described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0020] It should also be understood that the terms used in the present application specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the present application specification and the appended claims, unless otherwise clearly indicated by the context, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0021] It should be further understood that the term "and / or" used in the present application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0022] To solve or improve the problems raised in the background, the present application provides a water system monitoring method as follows Figure 1The water system monitoring method shown includes: S1, determining an upstream waterway of a current waterway according to water system distribution, and acquiring a water area image of the current waterway; S2, acquiring water quality change data of the upstream waterway, and selecting a corresponding image processing model; and S3, outputting specified water system monitoring data based on the water area image and the image processing model.

[0023] A water network system composed of all rivers, lakes and various water bodies in a drainage basin is referred to as a water system. The water system may include individual lakes, i.e. dead water formed by underground water and rainwater alone. Such individual lakes are basically only affected by heavy rain, so whether a flood will occur can be determined by artificial monitoring alone.

[0024] Because rivers and other water systems are live water, the water changes will be affected by the upstream. In order to improve the disaster prediction capability of complex water systems, it is not possible to only focus on a point. According to the water system distribution, the geographical form of the current river can be determined so as to determine the local from the whole. The water system distribution is the position and connection relationship of the water flow channel obtained according to field measurement and aerial measurement; the current waterway is a live water such as a river, a lake or the like which is a monitoring target; the upstream waterway is a river, a lake or the like which injects water into the current position; and the current water area image is an image of an area through which water flows.

[0025] The water quality change data is water-related measurement data, which can include water flow, evaporation, water mixture, dissolved matter and the like. The hazards caused by floods include changes in topography and changes in soil properties. The causes may not be the same, for example, too fast water flow speed can cause soil erosion; too high water level can cause sudden bulk density changes; too much water evaporation can cause drought; different mixtures can change the soil composition or affect the soil erosion speed when they are precipitated; and different dissolved substances can change the structure and composition of the soil. Different water quality change data has different appearances, for example, water mixed with branches and other debris will float on the water surface; when pollution occurs, the color of the water is different and there may be foam. The phenomena caused by different water quality changes are quite different, and different image processing models can improve the accuracy and efficiency of identification.

[0026] The method further includes: filtering branch waterways according to the water injection amount of the upstream waterway and corresponding geographical parameters, and assigning corresponding water quality weights; and correspondingly, the acquiring of the water quality change data of the upstream waterway includes: acquiring the water quality change data of the branch waterways, and selecting a corresponding image processing model in combination with the water quality weights.

[0027] Taking a river as an example, the current river section can be a plurality of upstream waterways, and the water injection amount of different upstream waterways into the current river section is different. Generally speaking, the greater the water injection amount, the greater the influence on the current river section. In addition, the water injection amount is not constant. In practice, factors affecting the water injection amount include not only the precipitation amount encountered by the upstream waterway itself, but also the water storage capacity of the upstream waterway itself. For example, the A region is a mountainous area without vegetation, and the B region is a plain with more vegetation. When the same precipitation is encountered, the change in water injection amount into the downstream will be different. Generally speaking, the water storage capacity of the A region is low, and the water storage capacity of the B region is relatively high. For example, the C region is an industrial region, and the D region is an agricultural region. Different regions can produce different types of pollution. Specifically, geographical parameters including topography, ecological environment, and human activity types are factors that affect water storage capacity or water quality. According to the influence ability of the current river section, the water quality weight value is set, the influence ability of the upstream on the downstream can be determined, and by combining the water quality weight value, a suitable image processing model can be selected to improve the recognition efficiency.

[0028] The geographical parameters include geographical types, vegetation data, and soil data. The water quality weight value is obtained by processing the geographical parameters and the water injection amount based on a preset parameter weight value. The parameter weight value is used to describe the effect and degree of the geographical parameters on the color of water.

[0029] The geographical types include the location of the water area and the type of its shape, such as being located in a mountainous area, a plain, a valley, etc. The shape includes a straight line, a Z shape, and a curve, etc. Under different geographical types, the color of the liquid flowing through will be different. For example, in a mountainous area, there are more rocks and less soil, so the color of the water remains clear. In a plain, there is more soil, so the color of the water will be turbid, appearing yellow, green, gray, etc. In a straight line case, the impact of the water flow on the river bank is less, so the color of the water remains clear. In a Z shape or a curve case, the impact of the water flow on the river bank is greater, which is easy to cause soil erosion. The more vegetation, the clearer the water. The soil data includes soil types, soil structure, soil and rock combination, etc. The parameter weight value can be set for these geographical parameters and their combinations according to experiments or experience to calculate the water quality weight value.

[0030] The image processing model is based on a neural network and is used to identify the shape of the waterway and the color of the waterway in the water area image. According to the shape of the waterway and the color of the waterway, the water system monitoring data is output. According to the water injection amount of the current waterway, an injection threshold is set to screen the branch waterways with a water injection amount greater than the injection threshold from the upstream waterways.

[0031] Excluding waterways with too small water injection amounts can reduce the amount of data processing.

[0032] The water system monitoring data includes water level information, and the water quality change data includes dissolved substance type and content, floating substance type and quantity, and mixture type and proportion.

[0033] Changes in water level will cause changes in waterway shape, and changes in waterway shape and surrounding reference objects can be used to calculate changes in water level.

[0034] The present application provides a water system monitoring system as shown in Figure 2 The first module 1 is configured to determine an upstream waterway of a current waterway according to water system distribution, and obtain a water area image of the current waterway.

[0035] The second module is further configured to filter branch waterways according to water injection amount of the upstream waterway and corresponding geographical parameters, and assign corresponding water quality weights.

[0036] The geographical parameters include geographical types, vegetation data and soil data.

[0037] The image processing model is based on a neural network and is configured to identify waterway shape and waterway color in the water area image, and output the water system monitoring data according to the waterway shape and the waterway color.

[0038] The water system monitoring data includes water level information; the water quality change data includes dissolved matter type and content, floating matter type and quantity, and mixture type and proportion; correspondingly, the image processing model is configured to determine corresponding image feature data according to the water quality change data, identify waterway shape and waterway color in the water area image based on the image feature data, and output the water level information according to the waterway shape and the waterway color.

[0039] Those skilled in the art can realize that the units of each example described in combination with the embodiments disclosed in the present embodiment can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components of each example have been described in the above description in general terms. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0040] In the embodiments provided in the present application, it should be understood that the division of units is only a logical functional division, and actual implementation can have another division manner. For example, multiple units can be combined as one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0041] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application.

Claims

1. A water system monitoring method characterized by, The method comprises: According to the water system distribution, the upstream waterway of the current waterway is determined, and the water area image of the current waterway is obtained; Obtain the water quality change data of the upstream waterway, and select the corresponding image processing model; Based on the water area image and the image processing model, output the specified water system monitoring data; According to the water injection amount of the upstream waterway and the corresponding geographical parameters, the branch waterway is filtered and the corresponding water quality weight is given; Correspondingly, the water quality change data of the branch waterway is obtained, and the corresponding image processing model is selected in combination with the water quality weight; The water system monitoring data includes water level information; The water quality change data includes dissolved substance type and content, floating substance type and quantity, and mixture type and proportion; Correspondingly, the image processing model is used to determine the corresponding image feature data according to the water quality change data, identify the waterway shape and the waterway color in the water area image based on the image feature data, and output the water level information according to the waterway shape and the waterway color. The geographical parameters include geographical type, vegetation data and soil data; 2. The water system monitoring method of claim 1, wherein, Based on the preset parameter weight processing of the geographical parameters and the water injection amount, the water quality weight is obtained, wherein the parameter weight is used to describe the effect and degree of the geographical parameters on the color of water. The image processing model is based on neural network, which is used to identify the waterway shape and the waterway color in the water area image, and output the water system monitoring data according to the waterway shape and the waterway color; 3. The water system monitoring method of claim 2, wherein, According to the water injection amount of the current waterway, the injection threshold is set to filter the branch waterway with water injection amount greater than the injection threshold from the upstream waterway. Including:

4. A waterway monitoring system characterized by, The first module is used for determining the upstream waterway of the current waterway according to the water system distribution, and obtaining the water area image of the current waterway; The second module is used for obtaining the water quality change data of the upstream waterway, and selecting the corresponding image processing model; The third module is used for outputting the specified water system monitoring data based on the water area image and the image processing model; The second module is also used for filtering the branch waterway and giving the corresponding water quality weight according to the water injection amount of the upstream waterway and the corresponding geographical parameters; Correspondingly, the water quality change data of the branch waterway is obtained, and the corresponding image processing model is selected in combination with the water quality weight; The water system monitoring data includes water level information; The water quality change data includes dissolved substance type and content, floating substance type and quantity, and mixture type and proportion; Correspondingly, the image processing model is used to determine the corresponding image feature data according to the water quality change data, identify the waterway shape and the waterway color in the water area image based on the image feature data, and output the water level information according to the waterway shape and the waterway color. The geographical parameters include geographical type, vegetation data and soil data; Based on the preset parameter weight processing of the geographical parameters and the water injection amount, the water quality weight is obtained, wherein the parameter weight is used to describe the effect and degree of the geographical parameters on the color of water.

5. The waterway monitoring system of claim 4, wherein, ​ The water quality weight is obtained by processing the geographical parameter and the water injection amount based on a preset parameter weight, wherein the parameter weight is used to describe an effect and a degree of the geographical parameter on a color of water.

6. The waterway monitoring system of claim 5, wherein, The image processing model is based on a neural network, and is used to identify a waterway shape and a waterway color in the water area image, and output the water system monitoring data according to the waterway shape and the waterway color. An injection threshold is set according to the water injection amount of the current waterway, so as to screen the branch waterways with water injection amounts greater than the injection threshold from the upstream waterways.

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