A water quality monitoring system based on multi-source data perception

Abstract

The present invention relates to the technical field of water quality monitoring. The present invention provides a water quality monitoring system based on multi-source data perception, comprising an acquisition component, a circulation component, a feature parser, an analyzer, a controller and a display. The present invention acquires a surface image of a target water area through the acquisition component, analyzes image feature parameters through the feature parser, determines a water quality deterioration tendency characterization value through the analyzer, divides the water quality sensitive tendency period through the controller, and adopts different determination methods for different water quality sensitive tendency periods. The present invention timely discovers the risk of rapid deterioration of water quality and the impact of water quality changes on organisms through the impact of water quality changes on aquatic organisms, and timely starts a water circulation pump to adjust the water quality, thereby improving the reliability and accuracy of water quality detection and avoiding the impact of water quality deterioration on aquatic organisms.

Description

Technical Field

[0001] The present invention relates to the technical field of water quality monitoring, and in particular to a water quality monitoring system based on multi-source data perception. Background Art

[0002] Water quality monitoring is a key link in environmental protection work and is of great significance for protecting public health and promoting the sustainable use of water resources. By integrating modern sensors, remote sensing, big data and other advanced technologies, a full-coverage, high-precision water quality monitoring network is built to achieve real-time monitoring and early warning of water quality in the basin. The widespread use of intelligent sensors can accurately capture subtle changes in water quality parameters and provide reliable data support for scientific decision-making. At the same time, the introduction of big data analysis technology can deeply explore the laws and trends behind the monitoring data and provide forward-looking guidance for basin management. By establishing an emergency response mechanism, it is ensured that the emergency plan can be quickly activated when a sudden water pollution incident occurs, effectively curb the spread of pollution, and ensure the safety of the water environment.

[0003] The improvement of intelligence level is an obvious trend in the smart water industry. Smart water will accelerate its development with the advancement of new smart city construction, and will be deeply integrated with emerging technologies such as 5G and the Internet of Things to enhance the digitalization and intelligence of products. With the development of society, water quality monitoring has become more intelligent and automated. How to realize functions such as automatic identification, analysis, early warning and decision support, reduce manual intervention, and improve monitoring efficiency and accuracy has become increasingly important.

[0004] For example, Chinese patent publication number: CN111885534A, discloses a target water area water quality monitoring system based on a Zigbee wireless sensor network, including a terminal node and a coordinator node for serial communication; the terminal node includes a first microcontroller module, a monitoring module, and a first power module, the monitoring module is electrically connected to the first microcontroller module, and the first power module is electrically connected to the first microcontroller module and the monitoring module; the coordinator node includes a second microcontroller module, a 4G communication module, and a second power module, the second microcontroller module communicates with the first microcontroller module via serial port, and the 4G communication module is electrically connected to the second microcontroller module; the monitoring method of the above system includes the following steps: arranging the terminal node in the target water area; the coordinator node issues a detection instruction, the monitoring module detects the dissolved oxygen, pH value and water temperature data of the water quality, and sends the data to the second microcontroller module; the second microcontroller module processes the data using the PSO-BP algorithm and sends it to the remote terminal through the 4G communication module.

[0005] Chinese Patent Publication No.: CN118329110A, the invention relates to an artificial intelligence-based aquaculture monitoring and early warning method and system, including: water level and water quality monitoring sensors, optical monitoring cameras, infrared monitoring cameras, local meteorological service websites, PC system servers, and remote mobile terminals; water level and water quality monitoring sensors are used to collect water level depth data and water quality data of target water areas, optical monitoring cameras and infrared monitoring cameras are used to collect real-time on-site videos of target water areas, local meteorological service websites are used to provide local weather forecast data for the day, 7 days and 14 days, remote mobile terminals are used to display risk levels and specific risk information, and PC system servers are used to receive video images from optical monitoring cameras and infrared monitoring cameras. The invention combines the water level, water quality, environment, and meteorological data of the target water areas, calculates the risk index using the risk level formula, and pushes it through the WeChat public account, realizing a multi-dimensional early warning method for aquaculture monitoring.

[0006] However, the prior art still has the following problems:

[0007] The existing technology does not consider characterizing the changes in water quality based on the dynamic characteristics of the target objects in the water body, and is unable to accurately understand the impact of water quality changes on organisms, resulting in poor accuracy in water quality monitoring. Summary of the invention

[0008] To this end, the present invention provides a water quality monitoring system based on multi-source data perception, which is used to overcome the problem that the prior art does not consider the characterization of water quality changes based on the dynamic characteristics of targets in the water body, and cannot accurately know the impact of water quality changes on organisms, resulting in poor accuracy of water quality monitoring.

[0009] To achieve the above object, the present invention provides a water quality monitoring system based on multi-source data perception, comprising:

[0010] A collection component, comprising a plurality of image collection units arranged in the target water area for collecting images of the surface of the target water area;

[0011] A circulation component, comprising a plurality of water exchange circulation pumps arranged in the target water area for exchanging water in the target water area;

[0012] A feature analyzer connected to the acquisition component for analyzing image feature parameters based on the target water area surface image;

[0013] An analyzer connected to the feature analyzer for analyzing the water quality deterioration tendency characterization value of the target water area in each time period based on the image feature parameters;

[0014] A controller, which is connected to the acquisition component, the circulation component and the analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between a water quality sensitive tendency period and a water quality balance tendency period based on the water quality deterioration tendency characterization value corresponding to each time period;

[0015] The control unit monitors the water quality status of the target water area in response to the division result of the clustering unit, including determining whether there is a risk of rapid deterioration based on the change of the water quality deterioration tendency characterization value within a time period, so as to control the water exchange circulation pump to start;

[0016] Or, determine the video segments in the target water surface image where the target object contour exists, extract the activity representation value based on the video segments, and determine whether to control the water exchange circulation pump to start based on the average value of the activity representation in each video segment.

[0017] Furthermore, the feature analyzer is used to analyze image feature parameters based on the target water surface image, including:

[0018] Used to identify the number of times the target object surfaces in the target water area within a time period;

[0019] Used to identify the turbidity of the water surface in the target water area within a time period.

[0020] Furthermore, the analyzer is used to analyze the water quality deterioration tendency characterization value of the target water area in each time period based on the image characteristic parameters, including:

[0021] The ratio of the number of times the target object surfaces within a time period to a preset number threshold is used to determine the first deterioration influencing factor;

[0022] The ratio of the turbidity of the water surface of the target water area within the calculation time period to the preset turbidity standard threshold is determined as the second deterioration influencing factor;

[0023] The sum of the first deterioration influencing factor and the second deterioration influencing factor is used to calculate and determine as the water quality deterioration tendency characterization value.

[0024] Furthermore, the clustering unit distinguishes between water quality sensitive tendency periods and water quality balanced tendency periods based on the water quality deterioration tendency characterization values ​​corresponding to each time period, including:

[0025] If the water quality deterioration tendency characterization value is greater than or equal to the water quality deterioration tendency characterization value threshold, it is determined to be a water quality sensitive tendency period;

[0026] If the water quality deterioration tendency characterization value is less than the water quality deterioration tendency characterization value threshold, it is determined to be a water quality balance tendency period.

[0027] Furthermore, the control unit responds to the division result of the clustering unit, including:

[0028] If the division result is a water quality sensitive tendency period, then based on the change of the water quality deterioration tendency characterization value within the time period, determine whether there is a risk of rapid deterioration, so as to start the water exchange circulation pump accordingly;

[0029] If the division result is a water quality balance tendency period, the video segment in which the target object contour exists in the target water surface image is determined, so as to extract the activity representation value based on the video segment, and determine whether to start the water exchange circulation pump based on the mean value of the activity representation in each video segment.

[0030] Furthermore, the control unit is used to determine whether there is a risk of rapid deterioration based on the change of the water quality deterioration tendency characterization value within a time period, including:

[0031] To determine the variation range of the water quality deterioration tendency characterization value within a time period;

[0032] If the change amplitude is greater than or equal to a preset change amplitude threshold, it is determined that there is a risk of rapid deterioration, and the water exchange circulation pump is controlled to start.

[0033] Furthermore, the control unit is also used to determine whether to issue a warning signal based on the determination result of the rapid deterioration risk, including:

[0034] If the control unit determines that there is a risk of rapid deterioration, a warning signal is sent to the mobile terminal.

[0035] Further, determining a video segment in which a target object contour exists in the target water surface image, and extracting an activity representation value based on the video segment includes:

[0036] It is used to identify the contour of the target object in each video frame of the video segment and mark the center of the contour of the target object as the reference point;

[0037] To determine the moving speed of each reference point within the reference time;

[0038] It is used to determine the average moving speed corresponding to each reference point as the activity characterization value.

[0039] Furthermore, the control unit is used to determine whether to control the water exchange circulation pump to start based on the mean value of the activity representation in each video segment, including:

[0040] If the activity characterization mean value is less than a preset activity characterization threshold value, it is determined that the water exchange circulation pump is controlled to be turned on.

[0041] Furthermore, it also includes a display, which is connected to the acquisition component and is used to display the data collected by the acquisition component.

[0042] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention provides a water quality monitoring system based on multi-source data perception, including an acquisition component, a circulation component, a feature parser, an analyzer, a controller and a display. The present invention acquires the surface image of the target water area through the acquisition component, analyzes the image feature parameters through the feature parser, determines the water quality deterioration tendency characterization value through the analyzer, divides the water quality sensitive tendency period through the controller, and adopts different judgment methods for different water quality sensitive tendency periods. The present invention timely discovers the risk of rapid deterioration of water quality and the impact of water quality changes on organisms through the impact of water quality changes on aquatic organisms, and promptly starts the water circulation pump to adjust the water quality, thereby improving the reliability and accuracy of water quality detection and avoiding the impact of water quality deterioration on aquatic organisms.

[0043] In particular, the water quality deterioration tendency value can be determined by the change in the number of times the target object floats to the surface within a time period and the turbidity of the water surface of the target water area, thereby predicting the water quality deterioration tendency. In actual situations, if the water quality deteriorates, it is easy to cause the target object to float. For example, when there is competition among zooplankton or hypoxia, the target object will float to the water surface and briefly float to absorb oxygen. If pollutants increase, there is toxic stimulation to the target object, which can easily stimulate the target object to float to the surface. The present invention uses the water quality deterioration tendency value to comprehensively reflect the influence of parameters such as the change in the number of times the target object floats to the surface and the turbidity change amplitude of the water surface of the target water area on the water quality deterioration tendency in different time periods, which can more comprehensively reflect the water quality deterioration tendency of the target water area, further improve the accuracy of water quality monitoring, and reflect the impact of water quality on organisms.

[0044] In particular, for the situation of water quality sensitive tendency cycle, it is characterized that organisms are greatly affected by water quality. Therefore, it is necessary to consider whether there is a risk of rapid deterioration of water quality. From the perspective of changes in the water quality deterioration tendency characterization value, it is determined whether there may be a situation of rapid deterioration of water quality, leading to mass death. The water circulation pump should be turned on in time to change the water in the target water area to ensure the reliability of water quality monitoring.

[0045] In particular, the water quality balance tendency cycle indicates that organisms are less affected by water quality. At this time, normalized and continuous attention should be paid to the activity of the target objects. The activity characterization value represents the activity of the target objects. When the activity is low, the water circulation pump should be turned on in time to ensure the reliability of water quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a structural block diagram of a water quality monitoring system based on multi-source data perception according to an embodiment of the present invention;

[0047] Figure 2 A logic block diagram for distinguishing between a water quality sensitive tendency period and a water quality balanced tendency period according to an embodiment of the present invention;

[0048] Figure 3A logic block diagram for determining whether there is a risk of rapid deterioration according to an embodiment of the present invention;

[0049] Figure 4 This is a logic block diagram of an embodiment of the invention for determining whether to control the water exchange circulation pump to start based on the mean value of activity representation in each video segment. DETAILED DESCRIPTION

[0050] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0051] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0052] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0053] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0054] See also Figures 1 to 4 As shown, Figure 1 is a structural block diagram of a water quality monitoring system based on multi-source data perception according to an embodiment of the present invention, Figure 2 This is a logic block diagram for distinguishing between a water quality sensitive tendency period and a water quality balanced tendency period according to an embodiment of the present invention. Figure 3 This is a logic block diagram of determining whether there is a risk of rapid deterioration according to an embodiment of the present invention. Figure 4 This is a logic block diagram of an embodiment of the invention for determining whether to control the water exchange circulation pump to start based on the mean value of activity representation in each video segment. An embodiment of the invention provides a water quality monitoring system based on multi-source data perception, including:

[0055] A collection component, comprising a plurality of image collection units arranged in the target water area for collecting images of the surface of the target water area;

[0056] A circulation component, comprising a plurality of water exchange circulation pumps arranged in the target water area for exchanging water in the target water area;

[0057] A feature analyzer connected to the acquisition component for analyzing image feature parameters based on the target water surface image;

[0058] An analyzer connected to the feature analyzer for analyzing the water quality deterioration tendency characterization value of the target water area in each time period based on the image feature parameters;

[0059] A controller, which is connected to the acquisition component, the circulation component and the analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between a water quality sensitive tendency period and a water quality balance tendency period based on the water quality deterioration tendency characterization value corresponding to each time period;

[0060] The control unit monitors the water quality status of the target water area in response to the division result of the clustering unit, including determining whether there is a risk of rapid deterioration based on the change of the water quality deterioration tendency characterization value within a time period, so as to control the water exchange circulation pump to start;

[0061] Or, determine the video segments in the target water surface image where the target object contour exists, extract the activity representation value based on the video segments, and determine whether to control the water exchange circulation pump to start based on the average value of the activity representation in each video segment.

[0062] Specifically, the feature analyzer is used to analyze image feature parameters based on the target water surface image, including:

[0063] Used to identify the number of times the target object surfaces in the target water area within a time period;

[0064] Used to identify the turbidity of the water surface in the target water area within a time period.

[0065] It is understandable that the present invention does not limit the water exchange circulation pump for exchanging water in the target water area, and those skilled in the art can arrange the water exchange circulation pump at any position in the target water area as required, as long as the corresponding function can be achieved.

[0066] It can be understood that the collection component has the function of automatically collecting data, the analyzer automatically analyzes the data, and the controller can perform corresponding debugging. At the same time, it has the functions of monitoring data query, export, and automatic backup, and can record various data information of the water quality cycle.

[0067] It can be understood that the number of times the target object floats to the surface in the target water area within the time period of the present invention is the number of times the target object floats to the surface in the target water area every 4 to 10 hours. The time period is selected within 4 to 10 hours. Preferably, the target water area is a fish pond and the target object is fish.

[0068] With regard to the time period, technicians in this field can optimize it. For example, in the high temperature stage, due to the increase in water temperature and the decrease in dissolved oxygen in the water, the target object will float more frequently. Therefore, in the summer when the temperature is high, the monitoring frequency is increased and the monitoring time period is reduced from every 6 hours to every 4 hours.

[0069] It can be understood that the number of times the target object floats to the surface of the target water area within a time period and the turbidity of the water surface of the target water area can reflect the pH value, dissolved oxygen, permanganate index, chemical oxygen demand, five-day biochemical oxygen demand, ammonia nitrogen, total phosphorus, and total nitrogen parameters corresponding to the water quality of the target water area.

[0070] Specifically, there is no limitation on the method of identifying the turbidity of the water surface of the target water area. For example, the inverse of the grayscale value can be used to represent the turbidity. It is worth noting that before binarizing the surface image of the target water area to obtain the grayscale value, the image can be denoised, and the lighting correction and other operations can be performed to reduce the impact of lighting on the result. Of course, other methods can also be used to determine the turbidity, which will not be repeated here.

[0071] Specifically, there is no limitation on the specific structures of the feature resolver, analyzer, and controller, and they can all be composed of logic components, and the logic components include field programmable components, computers, or microprocessors in computers.

[0072] Specifically, there is no limitation on the method of identifying the number of times a target object surfaces in the water surface of the target water area. In implementation, the target object surfacing refers to the target object surfacing or jumping out of the water surface, which can be achieved by marking the target object contour in each video frame in the surface image of the target water area. The number of times the target object surfaces is recorded by marking the contour of each target object in the video frame, which will not be repeated here.

[0073] The analyzer is used to analyze the water quality deterioration tendency characterization value of the target water area in each time period based on the image characteristic parameters, including:

[0074] The ratio of the number of times the target object surfaces within a time period to a preset number threshold is used to determine the first deterioration influencing factor;

[0075] The ratio of the turbidity of the water surface of the target water area within the calculation time period to the preset turbidity standard threshold is determined as the second deterioration influencing factor;

[0076] The sum of the first deterioration influencing factor and the second deterioration influencing factor is used to calculate and determine as the water quality deterioration tendency characterization value.

[0077] It can be understood that in this embodiment, the number change threshold and the preset turbidity standard threshold are predetermined, wherein the average number of times the target object surfaces within a certain historical time period and the standard turbidity when the target water area is determined to be unpolluted by technicians in this field are pre-recorded, the average number is determined as the number threshold, and the product of the standard turbidity and the precision coefficient is determined as the turbidity standard threshold, and the precision coefficient is selected within the interval [1.15, 1.3].

[0078] Specifically, the clustering unit distinguishes the water quality sensitive tendency period and the water quality balanced tendency period based on the water quality deterioration tendency characterization value corresponding to each time period, including:

[0079] If the water quality deterioration tendency characterization value is greater than or equal to the water quality deterioration tendency characterization value threshold, it is determined to be a water quality sensitive tendency period;

[0080] If the water quality deterioration tendency characterization value is less than the water quality deterioration tendency characterization value threshold, it is determined to be a water quality balance tendency period.

[0081] Specifically, the threshold value of the water quality deterioration tendency characterization value is selected within the interval [2.25, 2.5].

[0082] The water quality deterioration tendency value can be determined by the change in the number of times the target object floats to the surface within a time period and the turbidity of the water surface in the target water area, thereby predicting the water quality deterioration tendency. In actual situations, if the water quality deteriorates, it is easy to cause the target object to float. For example, when there is competition among zooplankton or hypoxia, the target object will float to the water surface and briefly float to absorb oxygen. If pollutants increase, there is toxic stimulation to the target object, which can easily stimulate the target object to float to the surface. The present invention uses the water quality deterioration tendency value to comprehensively reflect the influence of parameters such as the change in the number of times the target object floats to the surface and the turbidity change amplitude of the water surface in the target water area on the water quality deterioration tendency in different time periods, which can more comprehensively reflect the water quality deterioration tendency of the target water area, further improve the accuracy of water quality monitoring, and reflect the impact of water quality on organisms.

[0083] Specifically, the control unit responds to the division result of the clustering unit, including:

[0084] If the division result is a water quality sensitive tendency period, then based on the change of the water quality deterioration tendency characterization value within the time period, determine whether there is a risk of rapid deterioration, so as to start the water exchange circulation pump accordingly;

[0085] If the division result is a water quality balance tendency period, the video segment in which the target object contour exists in the target water surface image is determined, so as to extract the activity representation value based on the video segment, and determine whether to start the water exchange circulation pump based on the mean value of the activity representation in each video segment.

[0086] Specifically, the control unit is used to determine whether there is a risk of rapid deterioration based on the change of the water quality deterioration tendency characterization value within a time period, including:

[0087] To determine the variation range of the water quality deterioration tendency characterization value within a time period;

[0088] If the change amplitude is greater than or equal to a preset change amplitude threshold, it is determined that there is a risk of rapid deterioration, and the water exchange circulation pump is controlled to start.

[0089] The change amplitude threshold is predetermined, wherein the change amplitude of the water quality deterioration tendency characterization value within several historical time periods is recorded, and the maximum change amplitude is determined, and the maximum change amplitude is determined as the change amplitude threshold.

[0090] Specifically, the control unit is further configured to determine whether to issue a warning signal based on the determination result of the risk of rapid deterioration, including:

[0091] If the control unit determines that there is a risk of rapid deterioration, a warning signal is sent to the mobile terminal.

[0092] The situation of water quality sensitive tendency cycle indicates that organisms are greatly affected by water quality. Therefore, it is necessary to consider whether there is a risk of rapid deterioration of water quality. From the perspective of changes in the water quality deterioration tendency characterization value, it is determined whether there may be a situation of rapid deterioration of water quality, leading to mass death. The water circulation pump should be turned on in time to change the water in the target water area to ensure the reliability of water quality monitoring.

[0093] Specifically, determining a video segment in which a target object contour exists in the target water surface image, and extracting an activity representation value based on the video segment includes:

[0094] It is used to identify the contour of the target object in each video frame of the video segment and mark the center of the contour of the target object as the reference point;

[0095] To determine the moving speed of each reference point within the reference time;

[0096] It is used to determine the average moving speed corresponding to each reference point as the activity characterization value.

[0097] Specifically, there is no limitation on the method of identifying the contour of the target object. An image processing algorithm that can implement the corresponding function can be pre-trained or a model can be imported into a logic component to implement the corresponding function, which will not be elaborated here.

[0098] Specifically, the control unit is used to determine whether to control the water exchange circulation pump to start based on the mean value of the activity representation in each video segment, including:

[0099] If the activity characterization mean value is less than a preset activity characterization threshold value, it is determined that the water exchange circulation pump is controlled to be turned on.

[0100] Specifically, the activity characterization threshold is predetermined, wherein the average value of the activity characterization in each historical time period is recorded, and the activity characterization threshold is set to be between 0.75 times and 0.85 times the average value of the activity characterization.

[0101] The water quality balance tendency cycle indicates that organisms are less affected by water quality. At this time, normalized and continuous attention is paid to the activity of the target objects. The activity characterization value represents the activity of the target objects. When the activity is low, the water circulation pump is turned on in time to ensure the reliability of water quality monitoring.

[0102] Specifically, it also includes a display, which is connected to the acquisition component and is used to display the data collected by the acquisition component.

[0103] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0104] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A water quality monitoring system based on multi-source data perception, characterized in that: include: A collection component, comprising a plurality of image collection units arranged in the target water area for collecting images of the surface of the target water area; A circulation component, comprising a plurality of water exchange circulation pumps arranged in the target water area for exchanging water in the target water area; A feature analyzer connected to the acquisition component is used to analyze image feature parameters based on the target water surface image. include, Used to identify the number of times the target object surfaces in the target water area within a time period; Used to identify the turbidity of the water surface of the target water area within a time period; An analyzer, which is connected to the feature analyzer, is used to analyze the water quality deterioration tendency characterization value of the target water area in each time period based on the image feature parameters, including: The ratio of the number of times the target object surfaces within a time period to a preset number threshold is used to determine the first deterioration influencing factor; The ratio of the turbidity of the water surface of the target water area within the calculation time period to the preset turbidity standard threshold is determined as the second deterioration influencing factor; The sum of the first deterioration influencing factor and the second deterioration influencing factor is calculated to be determined as the water quality deterioration tendency characterization value; A controller, which is connected to the acquisition component, the circulation component and the analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between a water quality sensitive tendency period and a water quality balance tendency period based on the water quality deterioration tendency characterization value corresponding to each time period; If the water quality deterioration tendency characterization value is greater than or equal to the water quality deterioration tendency characterization value threshold, it is determined to be a water quality sensitive tendency period; If the water quality deterioration tendency characterization value is less than the water quality deterioration tendency characterization value threshold, it is determined to be a water quality balance tendency period; The control unit monitors the water quality status of the target water area in response to the division result of the clustering unit. include, If the division result is a water quality sensitive tendency period, then based on the change of the water quality deterioration tendency characterization value within the time period, determine whether there is a risk of rapid deterioration, so as to start the water exchange circulation pump accordingly; If the division result is a water quality balance tendency period, the video segment in which the target object contour exists in the target water surface image is determined, so as to extract the activity representation value based on the video segment, and determine whether to start the water exchange circulation pump based on the mean value of the activity representation in each video segment.

2. The water quality monitoring system based on multi-source data perception according to claim 1 is characterized in that: The control unit is used to determine whether there is a risk of rapid deterioration based on the change of the water quality deterioration tendency characterization value within a time period, include, To determine the variation range of the water quality deterioration tendency characterization value within a time period; If the change amplitude is greater than or equal to a preset change amplitude threshold, it is determined that there is a risk of rapid deterioration, and the water exchange circulation pump is controlled to start.

3. The water quality monitoring system based on multi-source data perception according to claim 1 is characterized in that: The control unit is further configured to determine whether to issue a warning signal based on the determination result of the risk of rapid deterioration, including: If the control unit determines that there is a risk of rapid deterioration, a warning signal is sent to the mobile terminal.

4. The water quality monitoring system based on multi-source data perception according to claim 1 is characterized in that: Determining a video segment containing a target object contour in the target water surface image, and extracting an activity representation value based on the video segment includes: Used to identify the contour of the target object in each video frame of the video segment, and mark the center of the contour of the target object as a reference point; To determine the moving speed of each reference point within the reference time; It is used to determine the average moving speed corresponding to each reference point as the activity characterization value.

5. The water quality monitoring system based on multi-source data perception according to claim 1 is characterized in that: The control unit is used to determine whether to control the water exchange circulation pump to start based on the mean value of the activity representation in each video segment, including: If the activity characterization mean value is less than a preset activity characterization threshold value, it is determined that the water exchange circulation pump is controlled to be turned on.

6. The water quality monitoring system based on multi-source data perception according to claim 1 is characterized in that: It also includes a display, which is connected to the acquisition component and is used to display the data collected by the acquisition component.

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