Water quality meteorological automatic monitoring and early warning system based on buoy

Abstract

The invention relates to the technical field of environment monitoring, in particular to a buoy-based water quality meteorological automatic monitoring and early warning system, which comprises a sensor module, a data processing module and a data processing module, the data acquisition and transmission module is used for acquiring sensor data and transmitting the sensor data to the monitoring and early warning module; the monitoring and early warning module is used for analyzing and predicting the sensor data based on the cloud platform and sending out standard exceeding early warning; the anti-interference module is used for providing electromagnetic interference shielding for information transmission among the sensor module, the data acquisition and transmission module and the monitoring and early warning module by adopting an anti-interference algorithm; the power supply module is used for providing continuous power supply for the sensor module, the data acquisition and transmission module and the monitoring and early warning module; the sensor module, the data acquisition and transmission module, the anti-interference module and the power supply module are integrated on the buoy main body. According to the invention, the cruising ability, the expansibility and the data stability of water quality meteorological monitoring can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of environmental monitoring, and in particular to a buoy-based automatic water quality and meteorological monitoring and early warning system. Background Art

[0002] In the field of water quality and meteorological monitoring, the existing monitoring technologies are mainly based on land-based monitoring stations and manual sampling, which have certain limitations. Land-based monitoring stations usually only cover a limited area of ​​water and cannot conduct comprehensive real-time monitoring of large lakes or rivers; manual sampling is difficult to provide continuous real-time data due to its long periodicity. At the same time, due to the complex and changeable water environment, the time and location of manual sampling may also affect the accuracy and representativeness of the data.

[0003] In the prior art, buoy-type water quality monitoring devices have been used in some water monitoring projects. These devices usually integrate water quality sensors and data acquisition systems, and use wireless communication technology to achieve data transmission. However, existing buoy monitoring devices still have problems in some aspects, such as:

[0004] High power consumption of equipment: Many existing equipment are limited by battery power supply when operating in the field for a long time. They are often difficult to work stably for a long time in rainy weather or insufficient light in winter.

[0005] Poor scalability of sensors: Some monitoring devices only support a single or a few types of sensors, making it difficult to quickly expand monitoring parameters according to actual needs and unable to fully capture the dynamic changes in water quality.

[0006] Insufficient anti-interference ability: In the complex environment of some reservoirs or river basins, electromagnetic interference, wind and waves and other external factors may affect the stability and accuracy of monitoring data.

[0007] These problems in the existing technology affect the efficiency and accuracy of water quality meteorological monitoring. Therefore, there is an urgent need for a more stable, low-power, easy-to-expand, and anti-interference-capable automated monitoring system to meet the monitoring needs in complex water environments. Summary of the invention

[0008] The purpose of the present invention is to provide a buoy-based automatic water quality and meteorological monitoring and early warning system to improve the endurance, scalability and data stability of water quality and meteorological monitoring and adapt to a wider range of environmental application needs.

[0009] To achieve the above object, the present invention provides the following solutions:

[0010] The buoy-based water quality and meteorological automatic monitoring and early warning system includes: sensor module, data acquisition and transmission module, monitoring and early warning module, anti-interference module and power supply module;

[0011] The sensor module is used to detect water quality and meteorological data through a number of sensors;

[0012] The data acquisition and transmission module is used to collect sensor data and transmit it to the monitoring and early warning module;

[0013] The monitoring and early warning module is used to analyze and predict the sensor data based on the cloud platform and issue an excessive warning;

[0014] The anti-interference module is used to provide electromagnetic interference shielding for information transmission between the sensor module, the data acquisition and transmission module, and the monitoring and early warning module by using an anti-interference algorithm;

[0015] The power supply module is used to provide continuous power supply to the sensor module, data acquisition and transmission module, and monitoring and early warning module;

[0016] The sensor module, data acquisition and transmission module, anti-interference module and power supply module are integrated into the buoy body.

[0017] Optionally, the buoy body includes several spherical floats, which are fixed to the periphery of the power supply module. The sensor module, data acquisition and transmission module, and monitoring and early warning module are connected in sequence and respectively connected to the power supply module to form a stable system.

[0018] Optionally, the sensor module includes an underwater sensor unit and an above-water sensor unit, wherein the underwater sensor unit is arranged underwater at a preset water depth distance for collecting water quality data at different water depths; the above-water sensor unit is arranged above the water relative to the arrangement position of the underwater sensor unit for collecting meteorological data.

[0019] Optionally, the underwater sensor unit and the above-water sensor unit are both connected to the data acquisition and transmission module via RS485 / MODBUS-RTU communication protocol.

[0020] Optionally, the data acquisition and transmission module includes a data acquisition unit and a data transmission unit, wherein the data acquisition unit is used to acquire the sensor data using a data collector; and the data transmission unit is used to transmit the sensor data to the cloud platform via wireless communication.

[0021] Optionally, the monitoring and early warning module includes a data analysis unit, a monitoring and early warning unit, and a visualization unit, wherein the data analysis unit is used to analyze, predict and detect anomalies on the sensor data in time series through the cloud platform to obtain data analysis results; the monitoring and early warning unit is used to issue excessive warning information based on the data analysis results; and the visualization unit is used to generate a visualization report based on the data analysis results and the excessive warning information and send it to the user.

[0022] Optionally, the anti-interference module includes an algorithm storage unit and an intelligent scheduling unit, wherein the anti-interference algorithm storage unit is used to store multiple anti-interference algorithms, and the intelligent scheduling unit is used to select at least one of the multiple anti-interference algorithms for electromagnetic interference shielding based on the actual water environment in which the buoy body is located.

[0023] Optionally, the power supply module adopts a power supply mode combining a solar panel and a lithium battery, and adopts a multi-stage charging strategy, a low voltage protection and a load priority management strategy for power supply management.

[0024] The beneficial effects of the present invention are:

[0025] The system provided by the present invention can collect water quality and meteorological parameters in real time, with a data delay of less than 1 minute, ensuring the timeliness of the data; through the electromagnetic shielding design, it can maintain the stability of the monitoring data in complex environments (such as strong electromagnetic interference areas). The system also supports flexible expansion of sensors. When it is necessary to monitor other parameters (such as meteorological parameters: wind speed, air pressure, rainfall), it can be achieved by adding corresponding sensors. Users only need to configure new sensors on the data collector to collect more parameters. The system has low power consumption in the field environment, and the power supply capacity of the solar panel is sufficient to support the system to run continuously for more than 5 days on rainy days.

[0026] Compared with traditional water quality monitoring methods, the system of the present invention realizes real-time and continuous water quality and meteorological monitoring, with timely data transmission and low equipment maintenance requirements, saving a lot of manpower and time costs, and significantly improving the efficiency and accuracy of water quality and meteorological monitoring. It is suitable for environmental monitoring needs in complex waters such as various lakes, rivers and reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1This is a schematic diagram of the structure of a buoy-based automatic water quality and meteorological monitoring and early warning system according to an embodiment of the present invention;

[0029] Figure 2 This is a schematic diagram of the layout and dimensions of the buoy body and power supply module according to an embodiment of the present invention;

[0030] Figure 3 This is a physical picture of the buoy body and power supply module of an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0033] This embodiment provides a buoy-based automatic water quality and weather monitoring and early warning system. Figure 1 As shown, it includes: sensor module, data acquisition and transmission module, monitoring and early warning module, anti-interference module and power supply module;

[0034] A sensor module for detecting water quality and meteorological data through several sensors;

[0035] Data collection and transmission module, used to collect sensor data and transmit it to the monitoring and early warning module;

[0036] Monitoring and early warning module, used to analyze and predict sensor data based on the cloud platform and issue warnings of exceeding standards;

[0037] The anti-interference module is used to provide electromagnetic interference shielding for information transmission between the sensor module, the data acquisition and transmission module, and the monitoring and early warning module by using an anti-interference algorithm;

[0038] Power supply module, used to provide continuous power supply for sensor module, data acquisition and transmission module, monitoring and early warning module;

[0039] The sensor module, data acquisition and transmission module, anti-interference module and power supply module are integrated into the buoy body.

[0040] Specifically, the system provided by this implementation can collect water quality and meteorological parameters in real time, with a data delay of less than 1 minute, ensuring the timeliness of the data; through the electromagnetic shielding design, it can maintain the stability of the monitoring data in complex environments (such as strong electromagnetic interference areas). The system also supports flexible expansion of sensors. When it is necessary to monitor other parameters (such as meteorological parameters: wind speed, air pressure, rainfall), it can be achieved by adding corresponding sensors. Users only need to configure new sensors on the data collector to collect more parameters. In areas with weak network signals, the system can use satellite communication instead of 2G / 4G communication to ensure remote transmission of data. The system has low power consumption in the field environment, and the power supply capacity of the solar panel is sufficient to support the system to run continuously for more than 5 days on rainy days. For energy consumption requirements in different environments, the system can also be configured with higher-power solar panels or larger-capacity batteries to meet long-term continuous operation requirements.

[0041] Compared with traditional water quality monitoring methods, the system of the present invention realizes real-time and continuous water quality and meteorological monitoring, with timely data transmission and low equipment maintenance requirements, saving a lot of manpower and time costs, and significantly improving the efficiency and accuracy of water quality and meteorological monitoring. It is suitable for environmental monitoring needs in complex waters such as various lakes, rivers and reservoirs.

[0042] Furthermore, the buoy body includes several spherical floats, which are fixed to the periphery of the power supply module. The sensor module, the data acquisition and transmission module, and the monitoring and early warning module are connected in sequence and respectively connected to the power supply module to form a stable system.

[0043] Specifically, the buoy body in this embodiment is made of ultra-high molecular polyethylene material, which has the characteristics of anti-corrosion, anti-biological attachment, non-fading, anti-collision and anti-lightning, and is suitable for complex water environments such as reservoirs and lakes. Figure 2 , Figure 3 As shown, the buoy is designed as a spherical structure with a float diameter of 414 mm. The stability of the entire equipment is supported by four floats, and the four floats are fixedly connected to the four corners of the power supply model.

[0044] Furthermore, the sensor module includes an underwater sensor unit and an above-water sensor unit, wherein the underwater sensor unit is arranged underwater at a preset water depth distance for collecting water quality data at different water depths; the above-water sensor unit is arranged above the water relative to the arrangement position of the underwater sensor unit for collecting meteorological data.

[0045] Specifically, the sensor module in this embodiment is equipped with a variety of water quality and meteorological sensors, including water temperature, pH, dissolved oxygen, conductivity, ammonia nitrogen, turbidity, salinity and other sensors. All sensors are connected to the data acquisition device of the data acquisition and transmission module through a unified RS485 / MODBUS-RTU communication protocol, supporting the simultaneous acquisition of multiple parameters. It can be flexibly expanded according to monitoring needs, and users can quickly replace or add other types of sensors, such as meteorological sensors such as air pressure, wind speed, rainfall, etc., to achieve more comprehensive monitoring.

[0046] Furthermore, the data acquisition and transmission module includes a data acquisition unit and a data transmission unit, wherein the data acquisition unit is used to acquire sensor data using a data collector; and the data transmission unit is used to transmit the sensor data to the cloud platform via wireless communication.

[0047] Specifically, in this embodiment, the data acquisition and transmission module uses a high-precision data collector, supports multi-channel RS485 / MODBUS-RTU communication protocols, and collects data from multiple sensors. The collected data is transmitted to the cloud platform in real time via wireless communication (2G / 4GGPRS), and users can access the data remotely through PC or mobile phone. It supports functions such as data storage, real-time push, and over-standard alarm to ensure the real-time and integrity of the data.

[0048] Furthermore, the monitoring and early warning module includes a data analysis unit, a monitoring and early warning unit, and a visualization unit, wherein the data analysis unit is used to analyze and predict the sensor data in time series and detect anomalies through the cloud platform to obtain data analysis results; the monitoring and early warning unit is used to issue excessive warning information based on the data analysis results; the visualization unit is used to generate a visualization report based on the data analysis results and the excessive warning information and send it to the user.

[0049] Specifically, in this embodiment, the monitoring and early warning module is combined with the cloud platform, and all monitoring data are transmitted to the cloud platform wirelessly. Users can log in through mobile phones or computers to view various monitoring data in real time. The cloud platform also provides data analysis functions. The buoy monitoring system realizes real-time data cleaning and multi-dimensional visualization through the cloud platform. Historical data analysis includes trend analysis, anomaly detection and data comparison to help users identify long-term change patterns. The system uses machine learning algorithms for trend prediction and provides intelligent early warning and over-standard reminders. Users can customize report templates, automatically generate monthly reports, quarterly reports, etc., and attach data interpretation and optimization suggestions. Through these analysis strategies, users are provided with accurate environmental monitoring and scientific decision-making support. Users can further analyze and process historical data to generate reports and charts. In addition, it supports over-standard SMS alarm function. When the monitoring data exceeds the preset range, an alarm message is automatically sent to relevant users.

[0050] Furthermore, the anti-interference module includes an algorithm storage unit and an intelligent scheduling unit, wherein the algorithm storage unit is used to store a plurality of anti-interference algorithms, and the intelligent scheduling unit is used to select at least one of the plurality of anti-interference algorithms for electromagnetic interference shielding based on the actual water environment in which the buoy body is located.

[0051] Specifically, in this embodiment, the anti-interference module adopts an electromagnetic interference shielding design to ensure the stability and reliability of data in complex hydrological environments (such as near high-voltage power lines and microwave radio transmission channels). At the same time, a variety of anti-interference algorithms are built in, and the organic combination of each algorithm is realized through the intelligent scheduling unit to adapt to the interference characteristics and environmental changes in different scenarios. Specifically, the anti-interference module adopts a combination strategy of adaptive filtering algorithm, multimodal signal fusion technology, intelligent signal separation algorithm and deep learning noise reduction model: the adaptive filtering algorithm is used in a high-noise and rapidly changing environment, and the filtering parameters are adjusted in real time to cope with the fluctuation of electromagnetic wave frequency; the multimodal signal fusion technology is suitable for an environment with relatively stable signals, and the overall accuracy of the measurement data is improved by weighted fusion of multi-source data; the intelligent signal separation algorithm achieves efficient isolation by separating useful signals and noise when a specific interference frequency band is known; the deep learning noise reduction model automatically identifies and suppresses various types of electromagnetic interference in a complex and unknown interference environment, especially for situations with complex noise sources. In addition, the intelligent scheduling unit in the anti-interference module can dynamically analyze the interference characteristics of the current environment and automatically select the appropriate algorithm combination. For example, in a strong interference environment, adaptive filtering and deep learning noise reduction models work together; in a stable scenario, multimodal signal fusion algorithms are used for data processing, thereby effectively improving the stability and accuracy of the data.

[0052] Furthermore, the power supply module adopts a power supply mode combining solar panels and lithium batteries, and adopts a multi-stage charging strategy, low voltage protection and load priority management strategy for power supply management.

[0053] Specifically, in this embodiment, the power supply module provides continuous power supply through solar panels (22.1V / 50W) and large-capacity lithium batteries (12VDC, 20AH). Intelligent management technology is adopted, specifically a multi-stage charging strategy (pre-charging, constant current, constant voltage, floating charge), combined with low voltage protection and load priority management to prevent battery overcharging or over-discharging. Through dynamic power scheduling and load adaptive adjustment, efficient energy utilization and extended battery life are achieved. At the same time, it has an energy recovery mechanism and intelligent monitoring functions, and can remotely adjust parameters and strategies to adapt to environmental changes, and optimize charging and discharging efficiency and battery life. It can effectively manage the charging and discharging of the battery to ensure that it can continue to operate for more than 5 days in insufficient light or rainy weather, reduce energy consumption, and extend the battery life of the equipment.

[0054] System working process:

[0055] After the system is started, it runs automatically through the power supply module without manual supervision. The sensor collects water quality and meteorological parameters every 5 minutes. The data is summarized by the data collector and transmitted to the cloud platform through wireless communication for data analysis. Warning information is sent based on the analysis results. Users can log in to the cloud platform remotely through mobile phones or computers to view real-time monitoring data and historical data.

[0056] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. The buoy-based water quality and meteorological automatic monitoring and early warning system is characterized by: include: Sensor module, data acquisition and transmission module, monitoring and early warning module, anti-interference module and power supply module; The sensor module is used to detect water quality and meteorological data through a number of sensors; The data acquisition and transmission module is used to collect sensor data and transmit it to the monitoring and early warning module; The monitoring and early warning module is used to analyze and predict the sensor data based on the cloud platform and issue an excessive warning; The anti-interference module is used to provide electromagnetic interference shielding for information transmission between the sensor module, the data acquisition and transmission module, and the monitoring and early warning module by using an anti-interference algorithm; The power supply module is used to provide continuous power supply to the sensor module, data acquisition and transmission module, and monitoring and early warning module; The sensor module, data acquisition and transmission module, anti-interference module and power supply module are integrated into the buoy body.

2. The buoy-based automatic water quality and meteorological monitoring and early warning system according to claim 1 is characterized in that: The buoy body includes a plurality of spherical floats, which are fixed to the periphery of the power supply module. The sensor module, the data acquisition and transmission module, and the monitoring and early warning module are connected in sequence and respectively connected to the power supply module to form a stable system.

3. The buoy-based automatic water quality and meteorological monitoring and early warning system according to claim 1 is characterized in that: The sensor module includes an underwater sensor unit and an above-water sensor unit, wherein the underwater sensor unit is arranged underwater at a preset water depth distance for collecting water quality data at different water depths; the above-water sensor unit is arranged above the water relative to the arrangement position of the underwater sensor unit for collecting meteorological data.

4. The buoy-based water quality and meteorological automatic monitoring and early warning system according to claim 3 is characterized in that: The underwater sensor unit and the above-water sensor unit are both connected to the data acquisition and transmission module via RS485 / MODBUS-RTU communication protocol.

5. The buoy-based automatic water quality and meteorological monitoring and early warning system according to claim 1 is characterized in that: The data acquisition and transmission module includes a data acquisition unit and a data transmission unit, wherein the data acquisition unit is used to acquire the sensor data using a data collector; and the data transmission unit is used to transmit the sensor data to the cloud platform via wireless communication.

6. The buoy-based automatic water quality and meteorological monitoring and early warning system according to claim 1 is characterized in that: The monitoring and early warning module includes a data analysis unit, a monitoring and early warning unit, and a visualization unit, wherein the data analysis unit is used to analyze, predict and detect anomalies on the sensor data in time series through the cloud platform to obtain data analysis results; the monitoring and early warning unit is used to issue excessive warning information based on the data analysis results; the visualization unit is used to generate a visualization report based on the data analysis results and the excessive warning information and send it to the user.

7. The buoy-based automatic water quality and meteorological monitoring and early warning system according to claim 1 is characterized in that: The anti-interference module includes an algorithm storage unit and an intelligent scheduling unit, wherein the algorithm storage unit is used to store multiple anti-interference algorithms, and the intelligent scheduling unit is used to select at least one of the multiple anti-interference algorithms for electromagnetic interference shielding based on the actual water environment where the buoy body is located.

8. The buoy-based automatic water quality and meteorological monitoring and early warning system according to claim 1 is characterized in that: The power supply module adopts a power supply mode combining solar panels and lithium batteries, and adopts a multi-stage charging strategy, low voltage protection and load priority management strategy for power supply management.

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