CN116202590A - Urban river channel big data monitoring liquid level alarm system and method - Google Patents
Urban river channel big data monitoring liquid level alarm system and method Download PDFInfo
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Abstract
The invention discloses a system and a method for monitoring liquid level and alarming big data of a river channel in an urban area, wherein the system comprises a monitoring database building module, a river channel data acquisition control module, an image data analysis module and an abnormality analysis module; the monitoring database establishing module establishes a monitoring database in advance, the river channel data acquisition control module acquires an area image of a certain area acquired in the monitoring process of the river channel, and the image data analysis module is used for analyzing a river channel top view and acquiring the river channel width ratio of a first-level river channel area in the area image; the anomaly analysis module is used for setting a corresponding area in the monitoring image as a suspected dangerous area when a river channel area with a river channel dam water mark difference value larger than or equal to a river channel dam water mark threshold value exists in the monitoring area image after the river channel dam partial image is acquired, analyzing the suspected dangerous area, and judging whether alarm information is transmitted or not.
Description
Technical Field
The invention relates to the technical field of liquid level alarm systems, in particular to a system and a method for monitoring liquid level alarm of urban river channel big data.
Background
At present, the river channels in urban areas of China are complicated, some river channels are blocked by trees, the change of the liquid level in the river channels is not easy to observe, and on some non-blocked river channels, the change of the liquid level in the river channels is not easy to monitor in real time due to wide water surface and the winding and complicated trend of the extending river channels; in addition, the short-time liquid level of the river channel, which is easily caused by the uncertainty of the water flow, is increased but is not seriously influenced, and at the moment, excessive monitoring load is brought to monitoring staff, so that the situation that the actual liquid level of the river channel is abnormally changed cannot be actually mastered.
Disclosure of Invention
The invention aims to provide a system and a method for monitoring liquid level and alarming large data of urban river channels, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a urban river channel big data monitoring liquid level warning system comprises a monitoring database building module, a river channel data acquisition control module, an image data analysis module and an abnormality analysis module;
the monitoring database establishing module is used for establishing a monitoring database in advance, wherein the monitoring database is used for storing a monitoring area, the monitoring area comprises a river channel open line area and a river channel dark line area, the river channel open line area comprises a primary river channel area and a secondary river channel area, the river channel open line area is a river channel area with no shielding above, and the river channel dark line area is a river channel area with shielding above; the river data acquisition control module acquires an area image of a certain area acquired by a river in the monitoring process, wherein the area image comprises a river top view and a river dam local image, the image data analysis module is used for analyzing the river top view and acquiring the river width ratio of a first-stage river area in the area image, if the river width ratio is greater than or equal to an average river width ratio threshold value, the liquid level alarm system continuously monitors the liquid level change of the area and acquires image data in a first-stage duration, and if the river width ratio is less than the average river width ratio threshold value, the liquid level alarm system continuously monitors the liquid level change of the area in a second-stage duration and acquires the image data; wherein the primary time length is longer than the secondary time length; the anomaly analysis module is used for setting a corresponding area in the monitoring area image as a suspected dangerous area when the river channel dam water mark difference value in the monitoring area image is larger than or equal to the river channel dam water mark threshold value after the river channel dam partial image is obtained, analyzing the suspected dangerous area, and judging whether alarm information is transmitted or not.
Further, the abnormality analysis module comprises a region position judgment module, a depth analysis module and an alarm transmission module; the regional position judging module is used for acquiring the affiliated position of the suspected dangerous region, and transmitting alarm information to enable the alarm transmission module to work when the affiliated position of the suspected dangerous region is a primary river region or a secondary river region; when the regional position judging module judges that the suspected dangerous region is a river course dark line region, the depth analyzing module monitors river course dam water mark difference values of the region and growth changes of plants around the river course to judge whether to transmit alarm information so as to enable the alarm transmitting module to work.
Further, the monitoring database building module comprises a region dividing module, a liquid level factor index calculation and comparison module, a beast flow index calculation and comparison module and a color index calculation and comparison module;
the area dividing module is used for dividing the river channel open line area into a plurality of monitoring areas in advance, the liquid level factor index calculating and comparing module is used for calculating the quantity p of the liquid level factors in each monitoring area and the average distance q among the liquid level factors, and then the liquid level factor index e=p/q in any monitoring area, wherein the liquid level factors comprise but are not limited to factors which influence the liquid level of the river channel by reservoirs and snow; when the liquid level factor index in a certain monitoring area is greater than or equal to the reference liquid level factor index threshold value, the monitoring area is made to be a primary river area;
when the liquid level factor index in a certain monitoring area is smaller than the reference liquid level factor index threshold value; the bird and animal flow index calculation and comparison module acquires bird and animal flow conditions above the river channel in the monitoring area in unit monitoring time and calculates bird and animal flow index
Wherein k represents the number of birds and beasts whose distance from the water surface is 0 or less in unit monitoring timeX represents the number of birds and beasts appearing above the monitored river in unit monitoring time, i represents the number of birds and beasts appearing above the river in unit monitoring time, w i Indicating the stay time of the ith beast above the river channel, and enabling the monitoring area to be a first-stage river channel area when the beast flow index of the monitoring area is greater than or equal to the beast flow reference threshold value;
when the bird and beast flux index of the monitoring area is smaller than the bird and beast flux reference threshold value, the color index calculation and comparison module acquires image data in the monitoring area, and carries out gray value processing on the colors of the river in the river channel in the image data, the gray value is set as an original gray value, the difference value between the gray value and the original gray value in adjacent interval time in unit monitoring time is acquired by the color index calculation and comparison module as a gray value difference value set, if the numerical value in the gray value difference value set is larger than 0, the monitoring area is a primary river channel area, and otherwise, the monitoring area is a secondary river channel area.
Further, the deep analysis module comprises a first width acquisition comparison module, a plant inclination angle monitoring module, a duration setting module and a width difference comparison module;
the first width acquisition and comparison module acquires the river channel width of the suspected dangerous area as a first width g 0 When the first width is larger than a dangerous width threshold, the plant inclination angle monitoring module identifies whether trees exist around a suspected dangerous area, when the trees exist, the inclination angles of the trees and the vertical direction are obtained to be initial angles, after two-stage time intervals, the plant inclination angle monitoring module obtains whether the inclination angles of other trees exist in an area with unchanged river width or not, if the inclination angles of the other trees exist are smaller than or equal to the inclination angle threshold, the liquid level monitoring system collects image information of the next monitoring area, otherwise, the duration setting module sets the monitoring duration to be the area image of the area continuously monitored by the first-stage duration; the width difference comparison module obtains that the river width of the area, of which the river dam water mark difference value is greater than or equal to the river dam water mark difference value threshold value after the interval one-stage duration, is a second width g 1 If the difference g between the values of the second width and the first width 0 -g 1 Greater than the width difference threshold, an alarm message is transmitted.
A method for monitoring liquid level and alarming big data of urban river channel includes the following steps:
a monitoring database is established in advance and used for storing a monitoring area, the monitoring area comprises a river channel open line area and a river channel dark line area, the river channel open line area comprises a primary river channel area and a secondary river channel area, the river channel open line area is a river channel area with no shielding above, and the river channel dark line area is a river channel area with shielding above;
the urban river is complex and various in distribution, some river is wide and large in size without shielding objects, so that the urban river is easy to analyze and observe, but the urban river is also rich in plants such as trees around the river, and the river is not easy to form a dark line due to the fact that the width of the river is insufficient;
acquiring an area image of a certain area acquired in a river channel monitoring process, wherein the area image comprises a river channel top view and a river channel dyke partial image; the image width of the river channel and whether birds exist above the river channel can be obtained through the river channel top view, and traces left by beating two banks when the water quantity in the river channel is increased can be obtained through the river channel dam partial view.
Analyzing a river top view and acquiring the river width ratio of a first-stage river region in a region image, continuously monitoring the liquid level change of the region and acquiring image data by using a first-stage duration if the river width ratio is larger than or equal to an average river width ratio threshold value, continuously monitoring the liquid level change of the region by using a second-stage duration and acquiring the image data if the river width ratio is smaller than the average river width ratio threshold value; wherein the primary time length is longer than the secondary time length;
the obtained river channel width ratio reflects that the water amounts contained in the river channels with different widths are different when the river channel liquid level is abnormal, and the severity of the influence caused by the difference is also different; therefore, the abnormality of the river liquid level can be rapidly and effectively found by monitoring the river channels with different widths by using different time lengths.
After the river dike partial graph is obtained, when a river region with the river dike water mark difference value larger than or equal to the river dike water mark threshold value exists in the monitoring region image, the corresponding region in the monitoring region image is set as a suspected dangerous region, and the suspected dangerous region is analyzed to judge whether alarm information is transmitted or not. The larger the river dike water mark difference value is, the change of the water quantity in the river is indicated, and the possibility of the elevation of the river liquid level is indirectly indicated as the mark caused by the unstable water surface condition due to the sudden increase of the water quantity.
Further, analyzing the suspected hazardous area includes:
acquiring the position of the suspected dangerous area, and transmitting alarm information when the position of the suspected dangerous area is a primary river area or a secondary river area;
when the suspected dangerous area is a river course dark line area, monitoring a river course dam water mark difference value of the area and growth change of plants around the river course, and judging whether alarm information is transmitted or not.
Further, monitoring the river dike water mark difference value of the area and the growth change of plants around the river comprises the following steps:
acquiring the river channel width of a suspected dangerous area as a first width g 0 When the first width is larger than a dangerous width threshold, identifying whether trees exist around a suspected dangerous area, and when the trees exist, acquiring the inclination angle of the trees and the vertical direction as an initial angle; when the liquid level of the small hidden line river changes, the water level of a point can be obviously increased, the higher the recognition possibility is, the faster the abnormal speed is detected by monitoring, and the lower the danger is caused.
After the interval of the second-stage duration, acquiring whether the inclination angle of other trees in the area with unchanged river channel width is smaller than or equal to an inclination angle threshold value, and acquiring the image information of the next monitoring area if the inclination angle of the other trees is smaller than or equal to the inclination angle threshold value;
otherwise, setting the monitoring time length as the first-level time length to continuously monitor the area image of the area;
the river width of the area with the river dike water mark difference value larger than or equal to the river dike water mark difference value threshold value after the interval primary time length is obtained to be the second width g 1 Such asThe difference g between the values of the second width and the first width 0 -g 1 Greater than the width difference threshold, an alarm message is transmitted.
Because the tree on both sides of the river always has a growth trend similar to the situation of water-oriented property in the process of growing the tree on both sides of the river, if the tree inclination angle on both sides of the river changes within a certain time range within a threshold range, the tree growing place has no obvious water level change in the river; therefore, the change of the water mark difference value corresponding to the river channel width is further determined while the change of the tree inclination angle is monitored, and because the tree inclination is sometimes subjected to other factors, such as centralized farmland wastewater discharge, the tree inclination angle and the river channel dam water mark difference value change, but the abnormality or serious influence of the whole river channel cannot be caused at the moment, the river channel width corresponding to the further obtained water mark difference value change can be determined to be the local factor influence or the wide serious river channel water level abnormality.
Further, pre-establishing the monitoring database includes:
dividing a river channel open line area into a plurality of monitoring areas on average in advance;
acquiring the number p of liquid level factors in each monitoring area and the average distance q between the liquid level factors, wherein the liquid level factor index e=p/q in any monitoring area, and the liquid level factors comprise, but are not limited to, factors which influence the liquid level of a river channel by reservoirs and snow;
if reservoirs are distributed around the river channel, the topography of easy storage of snow can possibly cause abnormal change of the liquid level of the river channel;
when the liquid level factor index in a certain monitoring area is greater than or equal to the reference liquid level factor index threshold value, the monitoring area is made to be a primary river area;
when the liquid level factor index in a certain monitoring area is smaller than the reference liquid level factor index threshold value;
collecting the flow condition of birds and beasts above the river channel in the monitoring area in unit monitoring time, and calculating the flow index of birds and beasts
Wherein k represents the number of birds and beasts with a distance from the water surface of 0 or less in unit monitoring time, x represents the number of birds and beasts above the monitored river in unit monitoring time, i represents the number of birds and beasts above the river in unit monitoring time, and w i Indicating the stay time of the ith beast above the river channel, and enabling the monitoring area to be a first-stage river channel area when the beast flow index of the monitoring area is greater than or equal to the beast flow reference threshold value;
in some cases, when the water level in the river rises, a lot of aquatic organisms, such as fish and algae, are bred in the river; at this time, the possibility that some beasts living through fishing are caught above the river channel is further increased;
when the bird and beast flow index of the monitoring area is smaller than a bird and beast flow reference threshold value, acquiring image data in the monitoring area, and carrying out gray value processing on the colors of the river in the river channel in the image data to set the gray value as an original gray value; and obtaining the difference value between the gray value and the original gray value in the adjacent interval time in the unit monitoring time as a gray value difference value set, wherein if the numerical value in the gray value difference value set is larger than 0, the monitoring area is a primary river area, otherwise, the monitoring area is a secondary river area.
When the water quantity in the river channel is increased, the sediment of some silt and algae is often accompanied, the water quantity in the river channel is increased to generally change the color of the water body to a certain extent, and according to the related literature 'great lake water transparency, water level and relation analysis between the great lake water transparency and the water level', the great lake water transparency and the water level are obviously related; scientific exploration by world science release: the color of the river can display the change of the river, which shows that the color of the river has a certain relation with the water level;
therefore, the gray value is set according to the processing of the color of the image, no matter the initial gray value is, the gray value is changed when the color is changed, so that the gray value of the image is regularly increased or decreased under the condition that the color of the water body is changed gradually along with the change of time.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the liquid level of the river channel is analyzed and monitored from multiple aspects, the brightness of the river channel is distinguished, different analysis means are carried out on the wide and easily-observed river channel to obtain important areas for monitoring, and peripheral influence factors are analyzed on the river channel with dark lines to determine the liquid level change of the river channel; the monitoring of the river channel is performed with targeted analysis according to different special properties of the river channel, so that the monitoring efficiency of the liquid level monitoring system is improved, and the authenticity of the abnormal liquid level is determined.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a system for monitoring liquid level and alarming big data in urban river channels;
FIG. 2 is a flow chart of a method for monitoring liquid level and alarming in urban river course big data.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a urban river channel big data monitoring liquid level warning system comprises a monitoring database building module, a river channel data acquisition control module, an image data analysis module and an abnormality analysis module;
the monitoring database establishing module is used for establishing a monitoring database in advance, wherein the monitoring database is used for storing a monitoring area, the monitoring area comprises a river channel open line area and a river channel dark line area, the river channel open line area comprises a primary river channel area and a secondary river channel area, the river channel open line area is a river channel area with no shielding above, and the river channel dark line area is a river channel area with shielding above; the river data acquisition control module acquires an area image of a certain area acquired by a river in the monitoring process, wherein the area image comprises a river top view and a river dam local image, the image data analysis module is used for analyzing the river top view and acquiring the river width ratio of a first-stage river area in the area image, if the river width ratio is greater than or equal to an average river width ratio threshold value, the liquid level alarm system continuously monitors the liquid level change of the area and acquires image data in a first-stage duration, and if the river width ratio is less than the average river width ratio threshold value, the liquid level alarm system continuously monitors the liquid level change of the area in a second-stage duration and acquires the image data; wherein the primary time length is longer than the secondary time length; the anomaly analysis module is used for setting a corresponding area in the monitoring area image as a suspected dangerous area when the river channel dam water mark difference value in the monitoring area image is larger than or equal to the river channel dam water mark threshold value after the river channel dam partial image is obtained, analyzing the suspected dangerous area, and judging whether alarm information is transmitted or not.
The abnormality analysis module comprises a region position judgment module, a depth analysis module and an alarm transmission module; the regional position judging module is used for acquiring the affiliated position of the suspected dangerous region, and transmitting alarm information to enable the alarm transmission module to work when the affiliated position of the suspected dangerous region is a primary river region or a secondary river region; when the regional position judging module judges that the suspected dangerous region is a river course dark line region, the depth analyzing module monitors river course dam water mark difference values of the region and growth changes of plants around the river course to judge whether to transmit alarm information so as to enable the alarm transmitting module to work.
The monitoring database building module comprises a region dividing module, a liquid level factor index calculation and comparison module, a beast flow index calculation and comparison module and a color index calculation and comparison module;
the area dividing module is used for dividing the river channel open line area into a plurality of monitoring areas in advance, the liquid level factor index calculating and comparing module is used for calculating the quantity p of the liquid level factors in each monitoring area and the average distance q among the liquid level factors, and then the liquid level factor index e=p/q in any monitoring area, wherein the liquid level factors comprise but are not limited to factors which influence the liquid level of the river channel by reservoirs and snow; when the liquid level factor index in a certain monitoring area is greater than or equal to the reference liquid level factor index threshold value, the monitoring area is made to be a primary river area;
when the liquid level factor index in a certain monitoring area is smaller than the reference liquid level factor index threshold value; the bird and animal flow index calculation and comparison module acquires bird and animal flow conditions above the river channel in the monitoring area in unit monitoring time and calculates bird and animal flow index
Wherein k represents the number of birds and beasts with a distance from the water surface of 0 or less in unit monitoring time, x represents the number of birds and beasts above the monitored river in unit monitoring time, i represents the number of birds and beasts above the river in unit monitoring time, and w i Indicating the stay time of the ith beast above the river channel, and enabling the monitoring area to be a first-stage river channel area when the beast flow index of the monitoring area is greater than or equal to the beast flow reference threshold value;
when the bird and beast flux index of the monitoring area is smaller than the bird and beast flux reference threshold value, the color index calculation and comparison module acquires image data in the monitoring area, and carries out gray value processing on the colors of the river in the river channel in the image data, the gray value is set as an original gray value, the difference value between the gray value and the original gray value in adjacent interval time in unit monitoring time is acquired by the color index calculation and comparison module as a gray value difference value set, if the numerical value in the gray value difference value set is larger than 0, the monitoring area is a primary river channel area, and otherwise, the monitoring area is a secondary river channel area.
The deep analysis module comprises a first width acquisition and comparison module, a plant inclination angle monitoring module, a duration setting module and a width difference comparison module;
the first width acquisition and comparison module acquires the river channel width of the suspected dangerous area as a first width g 0 When the first width is larger than a dangerous width threshold, the plant inclination angle monitoring module identifies whether trees exist around a suspected dangerous area, when the trees exist, the inclination angles of the trees and the vertical direction are obtained to be initial angles, after two-stage time intervals, the plant inclination angle monitoring module obtains whether the inclination angles of other trees exist in an area with unchanged river width or not, if the inclination angles of the other trees exist are smaller than or equal to the inclination angle threshold, the liquid level monitoring system collects image information of the next monitoring area, otherwise, the duration setting module sets the monitoring duration to be the area image of the area continuously monitored by the first-stage duration; the width difference comparison module obtains that the river width of the area, of which the river dam water mark difference value is greater than or equal to the river dam water mark difference value threshold value after the interval one-stage duration, is a second width g 1 If the difference g between the values of the second width and the first width 0 -g 1 Greater than the width difference threshold, an alarm message is transmitted.
A method for monitoring liquid level and alarming big data of urban river channel includes the following steps:
a monitoring database is established in advance and used for storing a monitoring area, the monitoring area comprises a river channel open line area and a river channel dark line area, the river channel open line area comprises a primary river channel area and a secondary river channel area, the river channel open line area is a river channel area with no shielding above, and the river channel dark line area is a river channel area with shielding above;
the urban river is complex and various in distribution, some river is wide and large in size without shielding objects, so that the urban river is easy to analyze and observe, but the urban river is also rich in plants such as trees around the river, and the river is not easy to form a dark line due to the fact that the width of the river is insufficient;
acquiring an area image of a certain area acquired in a river channel monitoring process, wherein the area image comprises a river channel top view and a river channel dyke partial image; the image width of the river channel and whether birds exist above the river channel can be obtained through the river channel top view, and traces left by beating two banks when the water quantity in the river channel is increased can be obtained through the river channel dam partial view.
Analyzing a river top view and acquiring the river width ratio of a first-stage river region in a region image, continuously monitoring the liquid level change of the region and acquiring image data by using a first-stage duration if the river width ratio is larger than or equal to an average river width ratio threshold value, continuously monitoring the liquid level change of the region by using a second-stage duration and acquiring the image data if the river width ratio is smaller than the average river width ratio threshold value; wherein the primary time length is longer than the secondary time length;
the obtained river channel width ratio reflects that the water amounts contained in the river channels with different widths are different when the river channel liquid level is abnormal, and the severity of the influence caused by the difference is also different; therefore, the abnormality of the river liquid level can be rapidly and effectively found by monitoring the river channels with different widths by using different time lengths.
After the river dike partial graph is obtained, when a river region with the river dike water mark difference value larger than or equal to the river dike water mark threshold value exists in the monitoring region image, the corresponding region in the monitoring region image is set as a suspected dangerous region, and the suspected dangerous region is analyzed to judge whether alarm information is transmitted or not. The larger the river dike water mark difference value is, the change of the water quantity in the river is indicated, and the possibility of the elevation of the river liquid level is indirectly indicated as the mark caused by the unstable water surface condition due to the sudden increase of the water quantity.
The analysis of the suspected hazardous area includes:
acquiring the position of the suspected dangerous area, and transmitting alarm information when the position of the suspected dangerous area is a primary river area or a secondary river area;
when the suspected dangerous area is a river course dark line area, monitoring a river course dam water mark difference value of the area and growth change of plants around the river course, and judging whether alarm information is transmitted or not.
Monitoring river dike water mark difference values of the area and growth changes of plants around the river comprise the following processes:
acquiring the river channel width of a suspected dangerous area as a first width g 0 When the first width is larger than a dangerous width threshold, identifying whether trees exist around a suspected dangerous area, and when the trees exist, acquiring the inclination angle of the trees and the vertical direction as an initial angle; when the liquid level of the small hidden line river changes, the water level of a point can be obviously increased, the higher the recognition possibility is, the faster the abnormal speed is detected by monitoring, and the lower the danger is caused.
After the interval of the second-stage duration, acquiring whether the inclination angle of other trees in the area with unchanged river channel width is smaller than or equal to an inclination angle threshold value, and acquiring the image information of the next monitoring area if the inclination angle of the other trees is smaller than or equal to the inclination angle threshold value;
otherwise, setting the monitoring time length as the first-level time length to continuously monitor the area image of the area;
the river width of the area with the river dike water mark difference value larger than or equal to the river dike water mark difference value threshold value after the interval primary time length is obtained to be the second width g 1 If the difference g between the values of the second width and the first width 0 -g 1 Greater than the width difference threshold, an alarm message is transmitted.
Because the tree on both sides of the river always has a growth trend similar to the situation of water-oriented property in the process of growing the tree on both sides of the river, if the tree inclination angle on both sides of the river changes within a certain time range within a threshold range, the tree growing place has no obvious water level change in the river; therefore, the change of the water mark difference value corresponding to the river channel width is further determined while the change of the tree inclination angle is monitored, and because the tree inclination is sometimes subjected to other factors, such as centralized farmland wastewater discharge, the tree inclination angle and the river channel dam water mark difference value change, but the abnormality or serious influence of the whole river channel cannot be caused at the moment, the river channel width corresponding to the further obtained water mark difference value change can be determined to be the local factor influence or the wide serious river channel water level abnormality.
Pre-establishing a monitoring database includes:
dividing a river channel open line area into a plurality of monitoring areas on average in advance;
acquiring the number p of liquid level factors in each monitoring area and the average distance q between the liquid level factors, wherein the liquid level factor index e=p/q in any monitoring area, and the liquid level factors comprise, but are not limited to, factors which influence the liquid level of a river channel by reservoirs and snow;
if reservoirs are distributed around the river channel, the topography of easy storage of snow can possibly cause abnormal change of the liquid level of the river channel;
when the liquid level factor index in a certain monitoring area is greater than or equal to the reference liquid level factor index threshold value, the monitoring area is made to be a primary river area;
when the liquid level factor index in a certain monitoring area is smaller than the reference liquid level factor index threshold value;
collecting the flow condition of birds and beasts above the river channel in the monitoring area in unit monitoring time, and calculating the flow index of birds and beasts
Wherein k represents the number of birds and beasts with a distance from the water surface of 0 or less in unit monitoring time, x represents the number of birds and beasts above the monitored river in unit monitoring time, i represents the number of birds and beasts above the river in unit monitoring time, and w i Indicating the stay time of the ith beast above the river channel, and enabling the monitoring area to be a first-stage river channel area when the beast flow index of the monitoring area is greater than or equal to the beast flow reference threshold value;
in some cases, when the water level in the river rises, a lot of aquatic organisms, such as fish and algae, are bred in the river; at this time, the possibility that some beasts living through fishing are caught above the river channel is further increased;
when the bird and beast flow index of the monitoring area is smaller than a bird and beast flow reference threshold value, acquiring image data in the monitoring area, and carrying out gray value processing on the colors of the river in the river channel in the image data to set the gray value as an original gray value; and obtaining the difference value between the gray value and the original gray value in the adjacent interval time in the unit monitoring time as a gray value difference value set, wherein if the numerical value in the gray value difference value set is larger than 0, the monitoring area is a primary river area, otherwise, the monitoring area is a secondary river area.
If the original gray value of the image data is set to be 255, when the color of the river gradually deepens, the gray values in adjacent time intervals may exist as 248, 237, 179 and 102, the gray value difference sets are {7, 11, 58 and 77}, and the numerical values in the gray value difference sets are all larger than 0; the monitoring area is a first-level river area.
When the water quantity in the river channel increases, some sludge and algae are often precipitated, and the color of the water body is changed to a certain extent by increasing the water quantity in the river channel; according to the related literature 'transparency of great lake water body, water level and relation analysis between the great lake water body and the water level', the transparency of great lake water body and the water level are obviously related; scientific exploration by world science release: the color of the river can display the change of the river, which shows that the color of the river has a certain relation with the water level;
therefore, the gray value is set according to the processing of the color of the image, no matter the initial gray value is, the gray value is changed when the color is changed, so that the gray value of the image is regularly increased or decreased under the condition that the color of the water body is changed gradually along with the change of time.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The urban river channel big data monitoring liquid level warning system is characterized by comprising a monitoring database building module, a river channel data acquisition control module, an image data analysis module and an abnormality analysis module;
the monitoring database establishing module is used for establishing a monitoring database in advance, wherein the monitoring database is used for storing a monitoring area, the monitoring area comprises a river channel open line area and a river channel dark line area, the river channel open line area comprises a primary river channel area and a secondary river channel area, the river channel open line area is a river channel area with no shielding above, and the river channel dark line area is a river channel area with shielding above; the river data acquisition control module acquires an area image of a certain area acquired by a river in the monitoring process, the area image comprises a river top view and a river dam local image, the image data analysis module is used for analyzing the river top view and acquiring the river width proportion of a first-level river area in the area image, if the river width proportion is greater than or equal to an average river width proportion threshold value, the liquid level warning system continuously monitors the liquid level change of the area in a first-level time period and acquires image data, and if the river width proportion is smaller than the average river width proportion threshold value, the liquid level warning system continuously monitors the liquid level change of the area in a second-level time period and acquires image data; wherein the primary time length is longer than the secondary time length; the anomaly analysis module is used for setting a corresponding area in the monitoring area image as a suspected dangerous area when the river channel dam water mark difference value in the monitoring area image is larger than or equal to the river channel dam water mark threshold value after the river channel dam partial image is obtained, analyzing the suspected dangerous area and judging whether alarm information is transmitted or not.
2. The urban river course big data monitoring liquid level warning system of claim 1, wherein: the abnormality analysis module comprises a region position judgment module, a depth analysis module and an alarm transmission module; the regional position judging module is used for acquiring the position of the suspected dangerous region, and transmitting alarm information to enable the alarm transmission module to work when the position of the suspected dangerous region is a primary river region or a secondary river region; when the regional position judging module judges that the suspected dangerous region is a river course dark line region, the depth analyzing module monitors a river course dam water mark difference value of the region and growth change of plants around the river course to judge whether to transmit alarm information so as to enable the alarm transmitting module to work.
3. The urban river course big data monitoring liquid level warning system of claim 2, wherein: the monitoring database building module comprises a region dividing module, a liquid level factor index calculation and comparison module, a beast flow index calculation and comparison module and a color index calculation and comparison module;
the area dividing module is used for dividing the river channel open line area into a plurality of monitoring areas in advance, the liquid level factor index calculating and comparing module is used for calculating the number p of liquid level factors in each monitoring area and the average distance q among the liquid level factors, and then the liquid level factor index e=p/q in any monitoring area, wherein the liquid level factors comprise but are not limited to factors which affect the liquid level of the river channel, such as reservoirs and snow; when the liquid level factor index in a certain monitoring area is greater than or equal to the reference liquid level factor index threshold value, the monitoring area is made to be a primary river area;
when the liquid level factor index in a certain monitoring area is smaller than the reference liquid level factor index threshold value; calculating the flow index of the beastsThe comparison module collects the flow conditions of birds and beasts above the river channel in the monitoring area in unit monitoring time and calculates the flow index of the birds and beasts
Wherein k represents the number of birds and beasts with a distance from the water surface of 0 or less in unit monitoring time, x represents the number of birds and beasts above the monitored river in unit monitoring time, i represents the number of birds and beasts above the river in unit monitoring time, and w i Indicating the stay time of the ith beast above the river channel, and enabling the monitoring area to be a first-stage river channel area when the beast flow index of the monitoring area is greater than or equal to the beast flow reference threshold value;
when the bird and beast flow index of the monitoring area is smaller than the bird and beast flow reference threshold value, the color index calculation and comparison module acquires image data in the monitoring area, and carries out gray value processing on the colors of the river in the river channel in the image data, the gray value is set as an original gray value, the difference value between the gray value and the original gray value in adjacent interval time in unit monitoring time is acquired by the color index calculation and comparison module as a gray value difference value set, and if the numerical value in the gray value difference value set is larger than 0, the monitoring area is a primary river channel area, otherwise, the monitoring area is a secondary river channel area.
4. A urban river course big data monitoring liquid level warning system according to claim 3, characterized in that: the deep analysis module comprises a first width acquisition comparison module, a plant inclination angle monitoring module, a duration setting module and a width difference comparison module;
the first width acquisition and comparison module acquires the river channel width of the suspected dangerous area as a first width g 0 When the first width is larger than a dangerous width threshold value, the plant inclination angle monitoring module identifies whether trees exist around a suspected dangerous area, when the trees exist, the inclination angle between the trees and the vertical direction is obtained to be an initial angle, and after two-stage duration is separated, the plant inclination angle monitoring module obtains whether the river width is unchanged in the areaIf the inclination angle of other trees is smaller than or equal to the inclination angle threshold, acquiring image information of a next monitoring area by the liquid level monitoring system, otherwise, setting the monitoring time length as a first-level time length and continuously monitoring area images of the area by the time length setting module; the width difference comparison module obtains that the river width of the area, which is greater than or equal to the river dam water mark difference value threshold value after the interval one-stage duration, is the second width g 1 If the difference g between the values of the second width and the first width 0 -g 1 Greater than the width difference threshold, an alarm message is transmitted.
5. A urban river channel big data monitoring liquid level warning method is characterized in that: the alarm method comprises the following steps:
a monitoring database is established in advance and used for storing a monitoring area, the monitoring area comprises a river channel open line area and a river channel dark line area, the river channel open line area comprises a primary river channel area and a secondary river channel area, the river channel open line area is a river channel area with no shielding above, and the river channel dark line area is a river channel area with shielding above;
acquiring an area image of an area acquired in a monitoring process of a river channel, wherein the area image comprises a river channel top view and a river channel dyke partial image;
analyzing a river top view and acquiring the river width ratio of a first-stage river region in a region image, continuously monitoring the liquid level change of the region and acquiring image data by using a first-stage duration if the river width ratio is larger than or equal to an average river width ratio threshold value, continuously monitoring the liquid level change of the region by using a second-stage duration and acquiring the image data if the river width ratio is smaller than the average river width ratio threshold value; wherein the primary time length is longer than the secondary time length;
after the river dike partial graph is obtained, when a river region with the river dike water mark difference value larger than or equal to the river dike water mark threshold value exists in the monitoring region image, the corresponding region in the monitoring region image is set as a suspected dangerous region, and the suspected dangerous region is analyzed to judge whether alarm information is transmitted or not.
6. The urban river course big data monitoring liquid level warning method according to claim 5, wherein the method comprises the following steps: the analysis of the suspected hazardous area includes:
acquiring the position of the suspected dangerous area, and transmitting alarm information when the position of the suspected dangerous area is a primary river area or a secondary river area;
when the suspected dangerous area is a river course dark line area, monitoring a river course dam water mark difference value of the area and growth change of plants around the river course, and judging whether alarm information is transmitted or not.
7. The urban river course big data monitoring liquid level warning method according to claim 6, wherein the method comprises the following steps: the monitoring of the river dike water mark difference value of the area and the growth change of plants around the river comprise the following processes:
acquiring the river channel width of a suspected dangerous area as a first width g 0 When the first width is larger than a dangerous width threshold, identifying whether trees exist around a suspected dangerous area, and when the trees exist, acquiring the inclination angle of the trees and the vertical direction as an initial angle;
after the interval of the second-stage duration, acquiring whether the inclination angle of other trees in the area with unchanged river channel width is smaller than or equal to an inclination angle threshold value, and acquiring the image information of the next monitoring area if the inclination angle of the other trees is smaller than or equal to the inclination angle threshold value;
otherwise, setting the monitoring time length as the first-level time length to continuously monitor the area image of the area;
the river width of the area with the river dike water mark difference value larger than or equal to the river dike water mark difference value threshold value after the interval primary time length is obtained to be the second width g 1 If the difference g between the values of the second width and the first width 0 -g 1 Greater than the width difference threshold, an alarm message is transmitted.
8. The urban river course big data monitoring liquid level warning method according to claim 6, wherein the method comprises the following steps: the pre-establishing the monitoring database includes:
dividing a river channel open line area into a plurality of monitoring areas on average in advance;
acquiring the number p of liquid level factors in each monitoring area and the average distance q between the liquid level factors, and then obtaining a liquid level factor index e=p/q in any monitoring area, wherein the liquid level factors comprise, but are not limited to, factors which influence the liquid level of a river channel by reservoirs and snow;
when the liquid level factor index in a certain monitoring area is greater than or equal to the reference liquid level factor index threshold value, the monitoring area is made to be a primary river area;
when the liquid level factor index in a certain monitoring area is smaller than the reference liquid level factor index threshold value;
collecting the flow condition of birds and beasts above the river channel in the monitoring area in unit monitoring time, and calculating the flow index of birds and beasts
i= {1,2,3. Once again the number of times t, wherein k represents the number that the distance between the beast and the water surface is less than or equal to 0 in unit monitoring time, x represents the number of birds and beasts appearing above the monitored river in unit monitoring time, i represents the number of birds and beasts appearing above the river in unit monitoring time, and w i Indicating the stay time of the ith beast above the river channel, and enabling the monitoring area to be a first-stage river channel area when the beast flow index of the monitoring area is greater than or equal to the beast flow reference threshold value;
when the bird and beast flow index of the monitoring area is smaller than a bird and beast flow reference threshold value, acquiring image data in the monitoring area, and carrying out gray value processing on the colors of the river in the river channel in the image data to set the gray value as an original gray value; and obtaining the difference value between the gray value and the original gray value in the adjacent interval time in the unit monitoring time as a gray value difference value set, wherein if the numerical value in the gray value difference value set is larger than 0, the monitoring area is a primary river area, otherwise, the monitoring area is a secondary river area.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116681307A (en) * | 2023-06-15 | 2023-09-01 | 黑龙江省水利科学研究院 | River four-disorder supervision traceability display method and system based on multi-terminal fusion feedback |
| CN116777122A (en) * | 2023-08-21 | 2023-09-19 | 安徽塔联智能科技有限责任公司 | Digital rural comprehensive treatment AI early warning platform |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116681307A (en) * | 2023-06-15 | 2023-09-01 | 黑龙江省水利科学研究院 | River four-disorder supervision traceability display method and system based on multi-terminal fusion feedback |
| CN116681307B (en) * | 2023-06-15 | 2023-11-14 | 黑龙江省水利科学研究院 | River four-disorder supervision traceability display method and system based on multi-terminal fusion feedback |
| CN116777122A (en) * | 2023-08-21 | 2023-09-19 | 安徽塔联智能科技有限责任公司 | Digital rural comprehensive treatment AI early warning platform |
| CN116777122B (en) * | 2023-08-21 | 2023-11-03 | 安徽塔联智能科技有限责任公司 | Digital rural comprehensive treatment AI early warning platform |
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