Water ecological environment intelligent monitoring, operation and maintenance management and early warning system based on Internet of Things

Abstract

The invention belongs to the technical field of water ecological environment monitoring, and particularly relates to a water ecological environment intelligent monitoring operation and maintenance management and early warning system based on the Internet of Things, which comprises a shell, a floating plate is fixedly connected to the bottom surface of the shell, a winding wheel is rotatably connected to an inner cavity of the shell, and a hollow hose is connected to the side wall of the winding wheel in a winding manner. A motor is fixedly installed on the inner wall of the shell, the output end of the motor is fixedly connected with a rotating shaft, and the other end of the rotating shaft is fixedly connected with a winding wheel. A wire assembly is arranged at the position, close to the bottom face, of an inner cavity of the shell, a mounting plate is arranged on the lower side of the shell, a plurality of sensors are assembled on the top face of the mounting plate, a through hole is formed in the bottom face of the shell, and the end face of the hollow hose penetrates through the through hole and is fixedly connected with the mounting plate. According to the system, various sensors, the data acquisition module, the communication module and the early warning module can be integrated, and the functions of real-time monitoring, data analysis and early warning of the ecological environment of the lake water body are achieved.

Description

Technical Field

[0001] This invention belongs to the field of water ecological environment monitoring technology, specifically involving an intelligent monitoring, operation and maintenance management and early warning system for water ecological environment based on the Internet of Things. Background Technology

[0002] Lake water ecological environment monitoring and early warning refers to the continuous monitoring and assessment of lake water quality, water quantity, biological and hydrological environment, so as to grasp the ecological environment status of lakes in real time and predict possible environmental problems in advance through data analysis and early warning systems.

[0003] By monitoring indicators such as temperature, dissolved oxygen, turbidity, pH value, and nutrients in lake water, the degree of pollution and nutrient status of the water body can be assessed. Water samples can be collected periodically for laboratory analysis using automated monitoring equipment and sampling instruments, or online monitoring and data acquisition can be achieved using technologies such as remote sensors.

[0004] However, current methods for collecting lake water environment data are relatively simple, often only able to monitor the water quality of the lake surface or shallow layers, making it difficult to effectively monitor the deep water of the lake. The lack of sufficient data will reduce the accuracy of assessing the ecological environment status of the lake and make it impossible to fully understand the complexity of the lake ecosystem. In addition, when the ecological environment deteriorates or problems occur, such as water quality deterioration or biological mortality, if timely monitoring data is lacking, the monitoring and alarm system may not be able to issue accurate warnings, thus delaying the implementation of necessary countermeasures. Summary of the Invention

[0005] The purpose of this invention is to provide an IoT-based intelligent monitoring, operation and maintenance management and early warning system for the aquatic ecological environment, which can integrate multiple sensors, data acquisition modules, communication modules and early warning modules to realize real-time monitoring, data analysis and early warning functions for the aquatic ecological environment of lakes.

[0006] The specific technical solution adopted by this invention is as follows:

[0007] A smart monitoring, operation and maintenance management and early warning system for water ecological environment based on the Internet of Things includes a shell, a float plate fixedly connected to the bottom surface of the shell, a winding wheel rotatably connected to the inner cavity of the shell, a hollow hose wound around the side wall of the winding wheel, a motor fixedly installed on the inner wall of the shell, a rotating shaft fixedly connected to the output end of the motor, and the other end of the rotating shaft fixedly connected to the winding wheel.

[0008] A wire assembly is provided near the bottom of the inner cavity of the housing. A mounting plate is provided on the lower side of the housing. Several sensors are mounted on the top surface of the mounting plate. A through hole is opened on the bottom surface of the housing. The end face of the hollow flexible tube passes through the through hole and is fixedly connected to the mounting plate.

[0009] A data acquisition module is installed on the top surface of the inner cavity of the housing.

[0010] The lead assembly includes a reciprocating lead screw rotatably connected to the inner wall of the housing. A threaded sleeve is fitted on the side wall of the reciprocating lead screw. A limit ring is fixedly connected to the side wall of the threaded sleeve. The hollow flexible tube passes through the limit ring. A transmission assembly is provided on the side wall of the reciprocating lead screw.

[0011] A positioning rod is fixedly connected to the inner wall of the housing above the reciprocating lead screw, and a positioning plate is fixedly connected to the side wall of the screw sleeve. The positioning rod passes through the positioning plate and is movably connected to it.

[0012] The transmission assembly includes a first grooved wheel fixedly connected to the side wall of the rotating shaft, a second grooved wheel fixedly connected to the side wall of the reciprocating lead screw, and a belt drivingly connecting the first grooved wheel and the second grooved wheel.

[0013] Several counterweights are fixedly connected to the bottom surface of the mounting plate.

[0014] Two traction rings are fixedly connected to the left and right side walls of the housing, respectively.

[0015] The acquisition module includes a data analysis module, a communication module, an early warning module, and a mobile application. The acquisition module is connected to the data analysis module, the early warning module, the communication module, and the sensor, respectively. The early warning information and analysis data are wirelessly transmitted to the mobile application.

[0016] The number of sensors is several;

[0017] Sensors need to be deployed at multiple locations in the lake to collect water parameters in different water areas. The collected data will be wirelessly transmitted to the back-end data center via a communication module, and then analyzed in real time by a data analysis module.

[0018] When the analyzed water quality parameters exceed the predetermined threshold, an early warning message is issued through the early warning module. The early warning message is sent to the background data center for real-time monitoring of water body data and response to the early warning message.

[0019] When the analyzed water quality parameters are within the normal threshold, the sensor continues to monitor in real time and synchronizes the warning information and monitoring data to the mobile application.

[0020] The sensor monitors HP value, dissolved oxygen, temperature, and turbidity.

[0021] The technical effects achieved by this invention are as follows:

[0022] The IoT-based intelligent monitoring, operation and maintenance management and early warning system for the aquatic ecological environment of this invention, through the design of the shell, groove wheel, hollow hose, mounting plate and sensor, can facilitate the placement of multiple sensors of different models and functions into the deeper water of the lake, to efficiently collect and process deep water quality data, and improve the range and accuracy of water quality collection.

[0023] The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for the aquatic ecological environment of this invention enables real-time monitoring, data analysis, and early warning of the excellent aquatic ecological environment of lakes, improving monitoring efficiency and early warning accuracy. Simultaneously, a mobile application allows users to conveniently view the ecological environment status of lakes at any time and take timely measures. Furthermore, this system has good scalability and can be applied to the monitoring of the aquatic ecological environment of lakes of different sizes. Attached Figure Description

[0024] Figure 1 This is a perspective view of an embodiment of the present invention;

[0025] Figure 2 This is a cross-sectional structural diagram of an embodiment of the present invention;

[0026] Figure 3 This is a schematic diagram of the mounting plate according to an embodiment of the present invention;

[0027] Figure 4 This is an embodiment of the present invention. Figure 2 Enlarged view of point A in the image;

[0028] Figure 5 This is a block diagram of the data acquisition module according to an embodiment of the present invention;

[0029] Figure 6 This is a flowchart of the water quality collection process according to an embodiment of the present invention.

[0030] The attached diagram lists the components represented by each number as follows:

[0031] 1. Housing; 2. Float; 3. Rewinding wheel; 4. Hollow hose; 5. Motor; 6. Shaft; 7. First grooved wheel; 8. Second grooved wheel; 9. Belt; 10. Mounting plate; 11. Sensor; 12. Counterweight; 13. Through hole; 14. Reciprocating screw; 15. Screw sleeve; 16. Limiting ring; 17. Positioning rod; 18. Positioning plate; 19. Data acquisition module; 20. Traction ring. Detailed Implementation

[0032] To make the objectives and advantages of this invention clearer, the invention will be specifically described below with reference to embodiments. It should be understood that the following text is merely used to describe one or more specific embodiments of the invention and does not strictly limit the scope of protection specifically claimed by the invention.

[0033] like Figures 1-6 As shown, the IoT-based intelligent monitoring, operation and maintenance management and early warning system for water ecological environment includes a shell 1, a float 2 fixedly connected to the bottom surface of the shell 1, a winding wheel 3 rotatably connected to the inner cavity of the shell 1, a hollow hose 4 wound around the side wall of the winding wheel 3, a motor 5 fixedly installed on the inner wall of the shell 1, a rotating shaft 6 fixedly connected to the output end of the motor 5, and the other end of the rotating shaft 6 fixedly connected to the winding wheel 3.

[0034] The housing 1 can be fitted with a sealing cover to seal the motor 5 and prevent water from splashing in and affecting the service life of the motor 5.

[0035] Specifically, in addition to traction, the hollow hose 4 can also be used to power the sensor 11. Multiple cables can be assembled inside the hollow hose 4, with one end of the cable connected to the power supply and the other end set as multiple terminals to facilitate independent power supply for different models of the sensor 11. In addition, the power supply for the motor 5 and the sensor 11 can be provided by various power supply methods such as batteries or photovoltaic panels.

[0036] A wire assembly is provided in the inner cavity of the housing 1 near the bottom surface. A mounting plate 10 is provided on the lower side of the housing 1. Several sensors 11 are mounted on the top surface of the mounting plate 10. A through hole 13 is opened on the bottom surface of the housing 1. The end face of the hollow flexible tube 4 passes through the through hole 13 and is fixedly connected to the mounting plate 10.

[0037] Specifically, the parameters monitored by the multiple sensors 11 are as follows:

[0038] Temperature sensor: Used to measure the temperature of lake water. Lake temperature is an important parameter for aquatic biological activity and nutrient cycling, and can reflect seasonal variations, vertical stratification, and heat balance.

[0039] pH sensor: Used to measure the acidity or alkalinity of lake water. pH value is an indicator of the acidity or alkalinity of water, and has an important impact on the biodiversity and ecological balance of lakes, significantly affecting the species and growth of organisms in the water.

[0040] Dissolved oxygen sensor: Used to measure the dissolved oxygen content in lake water. Dissolved oxygen is an essential substance for the respiration and oxygen metabolism of organisms in lake water, and has a significant impact on the growth of aquatic organisms and the stability of the ecosystem.

[0041] Turbidity sensor: Used to measure the concentration of suspended particulate matter in lake water. Turbidity reflects the transparency of water. High turbidity is usually related to the presence of suspended matter (such as silt, suspended microorganisms, etc.) in the water and has a significant impact on the water quality and aquatic ecosystem of lakes.

[0042] Ammonia nitrogen sensor: Used to measure the ammonia nitrogen content in lake water. Ammonia nitrogen is an important nutrient in water bodies. Excessively high ammonia nitrogen concentrations can lead to eutrophication and cyanobacterial blooms, negatively impacting lake ecosystems and water quality.

[0043] In addition, multiple mounting holes are reserved on the mounting plate 10, allowing different sensors 11 to be installed or replaced according to actual data collection needs, which makes the system highly expandable and adaptable to the collection of ecological environment data in different waters.

[0044] A data acquisition module 19 is installed on the top surface of the inner cavity of the housing 1.

[0045] like Figure 2 As shown, the wire assembly includes a reciprocating lead screw 14 rotatably connected to the inner wall of the housing 1. A threaded sleeve 15 is mounted on the side wall of the reciprocating lead screw 14. A limit ring 16 is fixedly connected to the side wall of the threaded sleeve 15. A hollow flexible tube 4 passes through the limit ring 16. A transmission assembly is provided on the side wall of the reciprocating lead screw 14.

[0046] like Figure 4 As shown, a positioning rod 17 is fixedly connected to the inner wall of the housing 1 on the upper side of the reciprocating lead screw 14, and a positioning plate 18 is fixedly connected to the side wall of the screw sleeve 15. The positioning rod 17 passes through the positioning plate 18 and is movably connected to it.

[0047] Specifically, by setting up a wire assembly, the hollow hose 4 can be limited during winding or unwinding, and the wound hollow hose 4 is in a neat state, effectively preventing the hollow hose 4 from tangling.

[0048] like Figure 2 As shown, the transmission assembly includes a first grooved pulley 7 fixedly connected to the side wall of the rotating shaft 6, and a second grooved pulley 8 fixedly connected to the side wall of the reciprocating screw 14. A belt 9 is connected between the first grooved pulley 7 and the second grooved pulley 8. The transmission assembly facilitates the linkage of the power output from the rotating shaft 6 to the reciprocating screw 14, achieving the purpose of reasonable power distribution and effectively saving energy and costs.

[0049] like Figure 2 As shown, several counterweights 12 are fixedly connected to the bottom surface of the mounting plate 10. The counterweights 12 are all rectangular and are horizontally fixed to the bottom of the mounting plate 10, so that the mounting plate 10 is in a balanced state when it sinks, thus preventing the mounting plate 10 and the sensor 11 from being overturned or tilted underwater.

[0050] like Figure 2 As shown, two traction rings 20 are fixedly connected to the left and right side walls of the housing 1, respectively.

[0051] Specifically, the traction ring 20 can facilitate the connection of multiple shells 1 in series, allowing multiple shells 1 to float in the designated water area on the lake surface. On the other hand, it can facilitate the fixing of shells 1 to both banks by traction ropes, keeping shells 1 in the designated position in the lake and preventing shells 1 from floating away from the collection point due to water flow.

[0052] like Figure 5 and Figure 6 As shown, the acquisition module 19 includes a data analysis module, a communication module, an early warning module, and a mobile application. The acquisition module 19 is connected to the data analysis module, the early warning module, the communication module, and the sensor 11, respectively. The early warning information and analysis data are wirelessly transmitted to the mobile application.

[0053] The data analysis module plays a crucial role in monitoring the ecological environment of lakes. This module is responsible for receiving, processing, and analyzing large amounts of monitoring data collected from sensors 11, monitoring equipment, or other data sources to obtain information and insights about the lake's environmental conditions. The data analysis module typically includes the following functions:

[0054] Data preprocessing: The raw data collected from sensor 11 and monitoring equipment is processed, including data cleaning, removal of outliers and noise, data interpolation and filling in missing values, to ensure data quality and continuity;

[0055] Data integration and storage: Data from different sensors or monitoring devices is integrated and stored in a structured manner in a database or data warehouse. This facilitates subsequent data retrieval and analysis.

[0056] Data analysis and statistics: Utilizing statistical methods and algorithms to analyze data and discover potential patterns, trends, and anomalies. Common analytical methods include correlation analysis, regression analysis, cluster analysis, and time series analysis. These analyses can reveal the dynamic changes, trends, and key influencing factors of lake water bodies.

[0057] Visualization and Reporting: Presenting analysis results in a visual format, such as charts, maps, and heatmaps, makes the data easier to understand and interpret. Simultaneously, generating detailed reports and summaries provides them to relevant researchers, administrators, and policymakers to support decision-making and management actions.

[0058] Forecasting and Early Warning: Based on historical data and model building, forecasts and early warnings are conducted. By establishing relevant models, the future water quality, environmental conditions, or potential risks of lakes can be predicted, anomalies can be detected in a timely manner, and early warning information can be provided so that corresponding measures can be taken. Relevant personnel can be notified via SMS, email, etc.

[0059] The number of sensors 11 is several;

[0060] Sensor 11 needs to be deployed at multiple locations in the lake to collect water parameters in different water areas. The collected data is wirelessly transmitted to the back-end data center via a communication module and analyzed in real time using a data analysis module.

[0061] When the analyzed water quality parameters exceed the predetermined threshold, an early warning message is issued through the early warning module. The early warning message is sent to the background data center for real-time monitoring of water body data and response to the early warning message.

[0062] When the analyzed water quality parameters are within the normal threshold, sensor 11 continues to monitor in real time and synchronizes the warning information and monitoring data to the mobile application.

[0063] Sensor 11 monitors HP value, dissolved oxygen, temperature, and turbidity.

[0064] The communication module uses wireless communication technologies (such as LoRa, NB-IoT, etc.) to transmit data to a remote data center, enabling remote data transmission and storage;

[0065] Mobile Application: Develop a mobile application that allows users to view the ecological environment status of the lake at any time and receive early warning information.

[0066] The working principle of this invention is as follows: First, a specified number of shells 1 are placed in a lake, and the buoyancy of the float plate 2 is used to make them float on the water surface. At the same time, the sensors 11 are all located in the lower layer of the water surface. At this time, the sensors 11 can collect water quality data of shallow layers. When it is necessary to collect water quality data of deep layers, the motor 5 can be started. The output end of the motor 5 drives the winding wheel 3 to rotate through the rotating shaft 6. The winding wheel 3 performs a pipe laying operation on the hollow hose 4. At this time, the mounting plate 10 begins to sink underwater using the gravity of the counterweight 12. When the mounting plate 10 drives the sensor 11 to sink to a suitable depth, the sensor 11 begins to collect water quality data of deep layers. The collected water quality signal is sent out through the communication module in the acquisition module 19. The data is processed by the background data center and a warning is determined.

[0067] When the sensor 11 needs to be retracted, the motor 5 drives the take-up wheel 3 to start reversing to rewind. At the same time, the shaft 6 drives the first grooved wheel 7 to rotate. The first grooved wheel 7 drives the reciprocating screw 14 to rotate through the belt 9 and the second grooved wheel 8. The reciprocating screw 14 drives the screw sleeve 15 and the limit ring 16 to reciprocate, so that the hollow hose 4 is evenly wound on the take-up wheel 3, which effectively improves its ease of use.

[0068] The above description is merely a preferred embodiment of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention. Structures, devices, and operating methods not specifically described or explained in this invention are implemented according to conventional methods in the art unless otherwise specified or limited.

Claims

1. A smart monitoring, operation, maintenance management, and early warning system for the water ecological environment based on the Internet of Things, characterized by: Includes a housing (1), a float plate (2) is fixedly connected to the bottom surface of the housing (1), a winding wheel (3) is rotatably connected to the inner cavity of the housing (1), a hollow hose (4) is wound around the side wall of the winding wheel (3), a motor (5) is fixedly installed on the inner wall of the housing (1), a rotating shaft (6) is fixedly connected to the output end of the motor (5), and the other end of the rotating shaft (6) is fixedly connected to the winding wheel (3); A wire assembly is provided in the inner cavity of the housing (1) near the bottom surface. A mounting plate (10) is provided on the lower side of the housing (1). Several sensors (11) are mounted on the top surface of the mounting plate (10). A through hole (13) is opened on the bottom surface of the housing (1). The end face of the hollow flexible tube (4) passes through the through hole (13) and is fixedly connected to the mounting plate (10). A data acquisition module (19) is installed on the top surface of the inner cavity of the housing (1).

2. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 1, characterized in that: The wire assembly includes a reciprocating screw (14) rotatably connected to the inner wall of the housing (1), a threaded sleeve (15) is fitted on the side wall of the reciprocating screw (14), a limiting ring (16) is fixedly connected to the side wall of the threaded sleeve (15), the hollow hose (4) passes through the limiting ring (16), and a transmission assembly is provided on the side wall of the reciprocating screw (14).

3. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 2, characterized in that: The inner wall of the housing (1) is fixedly connected to the upper side of the reciprocating screw (14) with a positioning rod (17), and the side wall of the screw sleeve (15) is fixedly connected to a positioning plate (18). The positioning rod (17) passes through the positioning plate (18) and is movably connected to it.

4. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 2, characterized in that: The transmission assembly includes a first grooved wheel (7) fixedly connected to the side wall of the rotating shaft (6), a second grooved wheel (8) fixedly connected to the side wall of the reciprocating screw (14), and a belt (9) drivingly connecting the first grooved wheel (7) and the second grooved wheel (8).

5. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 1, characterized in that: The mounting plate (10) has several counterweights (12) fixedly connected to its bottom surface.

6. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 1, characterized in that: Two traction rings (20) are fixedly connected to the left and right side walls of the housing (1).

7. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 1, characterized in that: The acquisition module (19) includes a data analysis module, a communication module, an early warning module, and a mobile application. The acquisition module (19) is connected to the data analysis module, the early warning module, the communication module, and the sensor (11) respectively. The early warning information and analysis data are wirelessly sent to the mobile application.

8. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 1, characterized in that: The number of sensors (11) is several; Sensor (11) needs to be deployed at multiple locations in the lake to collect water parameters of different water areas. The collected data is wirelessly transmitted to the back-end data center using a communication module and analyzed in real time using a data analysis module. When the analyzed water quality parameters exceed the predetermined threshold, an early warning message is issued through the early warning module. The early warning message is sent to the background data center for real-time monitoring of water body data and response to the early warning message. When the analyzed water quality parameters are within the normal threshold, the sensor (11) continues to monitor in real time and synchronizes the warning information and monitoring data to the mobile application.

9. The IoT-based intelligent monitoring, operation and maintenance management, and early warning system for water ecological environment as described in claim 8, characterized in that: The sensor (11) monitors HP value, dissolved oxygen, temperature, and turbidity.

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