Intelligent hyperspectral water quality monitoring all-in-one machine

Abstract

This utility model discloses an intelligent hyperspectral water quality monitoring integrated machine, which includes a data acquisition unit, a data processing module, and various external sensors. The data acquisition unit is equipped with various types of sensor interfaces. The data processing module includes at least a main controller, a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit. The main controller is connected to the data acquisition unit, the remote communication unit, the human-machine interaction unit, and the local communication unit respectively. The data acquisition unit is connected to various external sensors through various types of sensor interfaces.

Description

Technical Field

[0001] This utility model relates to the field of water quality monitoring technology, and more specifically, to an intelligent hyperspectral water quality monitoring all-in-one machine. Background Technology

[0002] With the acceleration of industrialization and urbanization, water pollution has become increasingly serious, posing a severe threat to people's health and living environment. Therefore, water quality monitoring has become an important means to ensure water resource security and prevent water pollution incidents.

[0003] Traditional water quality monitoring methods often rely on manual sampling and laboratory analysis. This method is not only time-consuming and labor-intensive, resulting in low efficiency in water quality monitoring, but also makes it difficult to achieve real-time monitoring and early warning of water quality.

[0004] Therefore, how to improve the efficiency of water quality monitoring and achieve real-time monitoring and early warning of water quality are the problems that this application urgently needs to solve. Utility Model Content

[0005] In view of this, the present invention discloses an intelligent hyperspectral water quality monitoring integrated machine, which aims to improve the efficiency of water quality monitoring, as well as the real-time monitoring and early warning of water quality.

[0006] To achieve the above objectives, the disclosed technical solution is as follows:

[0007] This utility model discloses an intelligent hyperspectral water quality monitoring integrated machine, which includes a data acquisition unit, a data processing module, and various external sensors; the data acquisition unit is equipped with various types of sensor interfaces;

[0008] The data processing module includes at least a main controller, a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit;

[0009] The main controller is connected to the data acquisition unit, the remote communication unit, the human-computer interaction unit, and the local communication unit, respectively.

[0010] The data acquisition unit is connected to the various external sensors through the various types of sensor interfaces.

[0011] Preferably, the plurality of external sensors include at least a flow monitoring sensor, a polluted gas monitoring module, a rainfall monitoring sensor, a spectral sensor, and a video sensor.

[0012] Preferably, the data acquisition unit is connected to various external sensors through extended physical access interfaces for multiple types of sensors.

[0013] Preferably, it also includes a direct memory access controller; the direct memory access controller is connected to the main controller.

[0014] Preferably, it also includes an interface protection module; the interface protection module is connected to the remote communication unit, the power management unit, the human-machine interaction unit and the local communication unit respectively.

[0015] Preferably, it also includes a millimeter-wave radar; the millimeter-wave radar is connected to the data acquisition unit.

[0016] Preferably, it also includes a local display screen; the local display screen is connected to the data processing module.

[0017] Preferably, it also includes a power consumption control unit; the power consumption control unit is connected to the data processing module.

[0018] Preferably, it also includes dual built-in cameras; the dual built-in cameras are connected to the data acquisition unit.

[0019] As can be seen from the above technical solution, this utility model discloses an intelligent hyperspectral water quality monitoring integrated machine. The intelligent hyperspectral water quality monitoring integrated machine includes a data acquisition unit, a data processing module, and various external sensors. The data acquisition unit is equipped with various types of sensor interfaces. The data processing module includes at least a main controller, a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit. The main controller is connected to the data acquisition unit, the remote communication unit, the human-machine interaction unit, and the local communication unit respectively. The data acquisition unit is connected to various external sensors through various types of sensor interfaces.

[0020] This solution utilizes an intelligent hyperspectral water quality monitoring system to monitor changes in various factors such as water quality, flow rate, pollutant concentration, and rainfall in real time through multiple external sensors and hyperspectral imaging technology. By employing both built-in and external sensors, it rapidly detects various parameters in the water. This real-time monitoring capability allows the device to promptly perceive and detect water quality issues from multiple dimensions. Compared to traditional water quality monitoring methods such as manual sampling, laboratory testing, and automatic water quality monitoring stations, this intelligent hyperspectral water quality monitoring system, through its multiple external sensors and hyperspectral imaging technology, enables rapid real-time monitoring of water quality. Furthermore, the built-in data processing module automatically preprocesses and analyzes the collected data, reducing manual intervention and improving the efficiency of water quality monitoring. The system also monitors water flow, pollutant concentration, and rainfall through its various external sensors, achieving real-time monitoring and early warning of water quality issues. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the internal structure of the intelligent hyperspectral water quality monitoring integrated machine disclosed in this utility model.

[0023] Figure 2 The schematic diagram of the main controller disclosed in this utility model;

[0024] Figure 3 The schematic diagram of the remote communication unit disclosed in this utility model;

[0025] Figure 4 The schematic diagram of the power management unit disclosed in this utility model;

[0026] Figure 5 The schematic diagram of the human-computer interaction unit disclosed in this utility model;

[0027] Figure 6 The schematic diagram of the local communication unit disclosed in this utility model;

[0028] Figure 7 This utility model discloses an application diagram of an integrated intelligent hyperspectral water quality monitoring device. Detailed Implementation

[0029] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0030] In this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0031] As the background technology shows, traditional water quality monitoring methods often rely on manual sampling and laboratory analysis. This method is not only time-consuming and labor-intensive, resulting in low efficiency, but also makes it difficult to achieve real-time monitoring and early warning of water quality. Therefore, how to improve the efficiency of water quality monitoring and achieve real-time monitoring and early warning of water quality is an urgent problem to be solved in this application.

[0032] To address this problem, this utility model discloses an intelligent hyperspectral water quality monitoring integrated machine. The intelligent hyperspectral water quality monitoring integrated machine includes a data acquisition unit, a data processing module, and various external sensors. The data acquisition unit is equipped with various types of sensor interfaces. The data processing module includes at least a main controller, a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit. The main controller is connected to the data acquisition unit, the remote communication unit, the human-machine interaction unit, and the local communication unit, respectively. The data acquisition unit is connected to various external sensors through various types of sensor interfaces.

[0033] This solution utilizes an intelligent hyperspectral water quality monitoring unit to monitor changes in various factors such as water quality, flow rate, pollutant concentration, and rainfall in real time through multiple external sensors and hyperspectral imaging technology. By employing built-in or external sensors, it rapidly detects various parameters in the water. This real-time monitoring capability allows the device to promptly perceive and detect water quality problems from multiple dimensions. Compared to traditional water quality monitoring methods such as manual sampling, laboratory testing, and automatic water quality monitoring stations, this intelligent hyperspectral water quality monitoring unit, through multiple external sensors and hyperspectral imaging technology, enables rapid real-time monitoring of water quality. Furthermore, the built-in data processing module of the intelligent hyperspectral water quality monitoring unit automatically preprocesses and analyzes the collected data, reducing manual intervention and improving the efficiency of water quality monitoring. The unit also monitors water flow, pollutant concentration, and rainfall through multiple external sensors, thus achieving real-time monitoring and early warning of water quality. The specific implementation method is illustrated in the following embodiments.

[0034] like Figure 1 The diagram shown is an internal structure schematic of an intelligent hyperspectral water quality monitoring integrated machine disclosed in an embodiment of this utility model. The intelligent hyperspectral water quality monitoring integrated machine includes a data acquisition unit, a data processing module, and various external sensors.

[0035] The data acquisition unit is equipped with various types of sensor interfaces; the various external sensors include at least a flow monitoring sensor, a polluted gas monitoring module, a rainfall monitoring sensor, a spectral sensor, and a video sensor.

[0036] It should be noted that the spectral sensor adopts a maintenance-free design, eliminating the need for frequent sensor replacement or cleaning, which significantly reduces the user's maintenance costs and workload.

[0037] The expansion of multiple physical interfaces enables this product to accommodate the extended access of various peripheral sensors in different application scenarios, enabling additional data monitoring such as sewage flow, environmental pollutant gas concentration, and local rainfall.

[0038] The data processing module includes at least a main controller (Microcontroller Unit, MCU), a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit.

[0039] The specific connection relationships between the data acquisition unit, data processing module, and various external sensors are as follows:

[0040] The main controller is connected to the data acquisition unit, remote communication unit, human-machine interaction unit, and local communication unit. The main controller is used for unified scheduling, data storage management, and processing of the acquired data across all modules of the system. Its principle is as follows: Figure 2 As shown.

[0041] Figure 2 It consists of an MCU, a real-time clock, a ferroelectric RAM (FRAM), a flash memory (FLASH), an RS485 communication interface, and a serial wire debug (SWD) module. The MCU performs power optimization management for the entire system.

[0042] The data acquisition unit connects to various external sensors through multiple types of sensor interfaces. It is a data acquisition and processing module that integrates functions such as spectral collection, millimeter-wave radar signal detection, video acquisition, and analysis calculations.

[0043] Specifically, the data processing module connects to various external sensors through multiple types of physical sensor access interfaces extended on the data acquisition unit. These physical interfaces include RS485, RS232, DI, and PI. The MCU utilizes these interfaces to connect to different types of sensors, establishing base values ​​for each sensor based on their attributes. For sensors of the same type, a frequency adjustment range is set, and the acquisition frequency is dynamically increased or decreased based on changes in the acquired values. These changes can be customized, such as decreasing the acquisition frequency when the acquired value exceeds a preset threshold (the preset threshold is set according to actual conditions and is not specifically limited in this application), and increasing the acquisition frequency when the acquired value is less than or equal to the preset threshold.

[0044] The data processing module can dynamically adjust the acquisition frequency based on the acquired current water quality data or pollutant gas concentration. When the data approaches the warning value (the warning value is set according to the actual situation, and this utility model does not specifically limit it), the acquisition frequency gradually increases, and vice versa. Simultaneously, as a battery-powered device, the data processing module controls the system to enter a low-power sleep state during idle periods when the device is not acquiring or transmitting data, thereby maximizing power consumption and extending battery life.

[0045] The intelligent hyperspectral water quality monitoring unit also includes a Direct Memory Access (DMA) controller; the DMA controller is connected to the MCU. The MCU dynamically adjusts its operating frequency according to the complexity of the current task to reduce power consumption; the power supply to physical peripherals that have not started tasks will be temporarily cut off; after all tasks are completed, the system automatically enters a sleep state to further reduce power consumption; the DMA controller can reduce the number of times the MCU is woken up, thereby reducing power consumption.

[0046] The intelligent hyperspectral water quality monitoring integrated unit also includes an interface protection module; this module is connected to the remote communication unit, power management unit, human-machine interaction unit, and local communication unit. The main purpose of the interface protection design is to isolate dangerous external signals. The interface protection module protects the internal circuitry, preventing external interference from entering the system's core sensitive circuits, thereby avoiding damage to the internal circuitry and ensuring the stability and security of data transmission.

[0047] The remote communication unit is used to complete data transmission and serves as the physical bridge connecting the main controller and the back-end monitoring center. The remote communication unit can exchange data between the main controller and the back-end monitoring center via 4G wireless or wired Ethernet, etc. Its principle is as follows: Figure 3 As shown.

[0048] The power management unit is responsible for voltage monitoring, current monitoring, power consumption control, etc. of the entire system. Its schematic diagram is shown in Figure 4. Figure 4 In this system, the power management unit includes an external power interface, a battery interface, and a motherboard (MAIN) interface.

[0049] The human-machine interface unit provides on-site operators with functions such as local parameter setting and querying, real-time querying of monitoring data for various elements, battery voltage, 4G signal strength, date and time, and local system upgrades. Its schematic diagram is shown below. Figure 5 As shown.

[0050] The local communication unit is used to enable the intelligent hyperspectral water quality monitoring all-in-one machine to perform functions such as hardware access to various sensors and configuration of equipment parameters locally. The principle of the local communication unit is as follows: Figure 6 As shown.

[0051] The intelligent hyperspectral water quality monitoring system also includes a millimeter-wave radar, which is connected to the data acquisition unit. Millimeter-wave radar offers several significant advantages, including high precision, all-weather operation, strong penetration, and excellent environmental adaptability. It can penetrate atmospheric interference such as rain, snow, and fog, exhibiting good anti-interference capabilities, allowing it to maintain high performance even in complex environments. Furthermore, millimeter-wave radar is not limited by weather conditions and can operate stably and maintain good performance in complex environments such as rain, fog, and dust.

[0052] The intelligent hyperspectral water quality monitoring all-in-one unit also includes a local display screen, which is connected to the data processing module. The high-definition display screen can show monitoring data and water quality status in real time. This intuitiveness allows users to quickly understand the current water quality, flow rate, pollutant concentration, channel water level, rainfall, and other conditions without relying on external equipment or software. Data from various sensor elements, signal strength, power supply status, and system operating status can be displayed in real time on the local display screen in various formats such as images, graphics, and text. Users can browse, select, and operate the displayed content through interactive methods such as screen touch, swiping, and clicking, without the need for third-party tools or remote operation platforms.

[0053] The intelligent hyperspectral water quality monitoring unit also includes a power consumption control unit, which is connected to the data processing module. Through optimized circuit design and operating modes, the power consumption control unit significantly reduces the device's power consumption. It typically features self-diagnostic and fault detection functions, providing timely warnings when system malfunctions occur, thereby improving system reliability and stability.

[0054] The intelligent hyperspectral water quality monitoring all-in-one device also includes dual built-in cameras; these cameras are connected to the data acquisition unit. The built-in dual high-definition cameras enable panoramic video acquisition. The intelligent hyperspectral water quality monitoring all-in-one device possesses all the functions of a hyperspectral water quality camera, namely, using hyperspectral inversion technology to achieve real-time monitoring of multiple water quality factors.

[0055] Applications of intelligent hyperspectral water quality monitoring integrated machines, such as Figure 7 As shown. Figure 7 The system topology diagram of the intelligent hyperspectral water quality monitoring integrated machine is shown.

[0056] Figure 7The intelligent hyperspectral water quality monitoring all-in-one machine, equipped with a built-in hyperspectral sensor, utilizes hyperspectral multidimensional sensing technology to detect water quality in different water areas. It achieves panoramic video acquisition using built-in dual-channel high-definition cameras and obtains data from various external front-end sensors (such as spectral sensors, water level sensors, flow sensors, and gas sensors) to monitor environmental elements such as rainfall, flow rate, and pollutants.

[0057] The raw collected data (data collected without any processing) is then processed, analyzed, and transmitted to a data center (GPRS CDMA) via 4G, Ethernet, or other communication networks. The data center then processes the data uniformly. Intelligent hyperspectral water quality monitoring can automatically preprocess and analyze the collected data, reducing manual intervention and improving work efficiency. At the same time, through intelligent means such as local display and remote transmission, users can collect and manage data on water quality, flow rate, pollutant concentration, rainfall, etc., anytime and anywhere.

[0058] The intelligent hyperspectral water quality monitoring all-in-one machine is a device that integrates multiple functions such as water quality monitoring, flow monitoring, pollutant gas monitoring, and rainfall monitoring. Its core strength lies in solving the following technical problems:

[0059] 1) High efficiency and low maintenance of water quality monitoring

[0060] The intelligent hyperspectral water quality monitoring integrated machine, by adopting hyperspectral imaging technology, can achieve rapid real-time monitoring of water quality compared with traditional water quality monitoring methods such as manual laboratory testing and automatic water quality monitoring stations. This is of great significance for timely detection of water quality anomalies and prevention of environmental pollution incidents.

[0061] The spectral sensor in the intelligent hyperspectral water quality monitoring all-in-one machine adopts a maintenance-free spectral sensor design, which eliminates the need for frequent sensor replacement or cleaning, greatly reducing the user's maintenance costs and workload.

[0062] 2) Miniaturization of equipment

[0063] Traditional water quality monitoring equipment is often bulky and complex to operate, while the intelligent hyperspectral water quality monitoring integrated machine is small in size, lightweight and easy to operate, and can be easily deployed at various monitoring sites.

[0064] 3) Intelligent and automated data processing

[0065] The built-in data processing module of the intelligent hyperspectral water quality monitoring unit can automatically preprocess and analyze the collected data, reducing manual intervention and improving work efficiency. Simultaneously, through intelligent methods such as local display and remote transmission, users can collect and manage data on water quality, flow rate, pollutant concentration, rainfall, and other parameters anytime, anywhere.

[0066] 4) Accuracy of flow monitoring

[0067] By integrating an advanced external flow monitoring sensor, the hyperspectral intelligent water quality monitoring system can achieve precise monitoring of water flow. This is of great significance for assessing the amount of pollution and the utilization of water resources.

[0068] 5) Real-time monitoring of pollutant gases

[0069] Polluting gases pose a threat to the environment and human health. Intelligent hyperspectral water quality monitoring systems can integrate external pollutant monitoring modules, enabling real-time monitoring of pollutant gas concentrations in water bodies or the surrounding environment, timely warnings, and prevention of safety accidents.

[0070] 6) Automation and intelligentization of rainfall monitoring

[0071] Rainfall monitoring is crucial for weather forecasting and water resource management. The intelligent hyperspectral water quality monitoring system, by integrating rainfall monitoring sensors, can automatically record and analyze rainfall data, providing a scientific basis for relevant decision-making.

[0072] The advantages of this utility model are as follows:

[0073] 1) Real-time monitoring and efficient response of multiple factors

[0074] The intelligent hyperspectral water quality monitoring all-in-one machine can monitor changes in various factors such as water quality, flow rate, pollutant gas concentration, and rainfall in real time. It uses built-in or external sensors to quickly detect various parameters in the water. This real-time monitoring capability allows the device to promptly and multi-dimensionally detect water quality problems, thereby ensuring water safety. At the same time, its high-efficiency response speed also enhances emergency response capabilities.

[0075] 2) Easy to operate and intelligent

[0076] The intelligent hyperspectral water quality monitoring all-in-one machine is equipped with a local visual user interface and an intelligent data acquisition, measurement, and transmission process, enabling even non-professionals to easily master its operation. Simple settings via the touchscreen allow for detection, analysis, and data recording, greatly reducing the complexity of manual operation.

[0077] 3) Energy conservation, emission reduction and environmental protection

[0078] The intelligent hyperspectral water quality monitoring all-in-one machine effectively reduces energy consumption and the battery discharge rate during operation by optimizing the system power supply, thus extending battery life. This not only reduces the frequency of battery replacement but also reduces the environmental pollution caused by waste batteries.

[0079] The beneficial effects of this embodiment are as follows: An intelligent hyperspectral water quality monitoring integrated machine includes a data acquisition unit, a data processing module, and various external sensors. The data acquisition unit is equipped with various types of sensor interfaces. The data processing module includes at least a main controller, a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit. The main controller is connected to the data acquisition unit, the remote communication unit, the human-machine interaction unit, and the local communication unit, respectively. The data acquisition unit is connected to various external sensors through various types of sensor interfaces. This solution utilizes an intelligent hyperspectral water quality monitoring system to monitor changes in various factors such as water quality, flow rate, pollutant concentration, and rainfall in real time through multiple external sensors and hyperspectral imaging technology. By employing both built-in and external sensors, it rapidly detects various parameters in the water. This real-time monitoring capability allows the device to promptly perceive and detect water quality issues from multiple dimensions. Compared to traditional water quality monitoring methods such as manual sampling, laboratory testing, and automatic water quality monitoring stations, this intelligent hyperspectral water quality monitoring system, through its multiple external sensors and hyperspectral imaging technology, enables rapid real-time monitoring of water quality. Furthermore, the built-in data processing module automatically preprocesses and analyzes the collected data, reducing manual intervention and improving the efficiency of water quality monitoring. The system also monitors water flow, pollutant concentration, and rainfall through its various external sensors, achieving real-time monitoring and early warning of water quality issues.

[0080] The features described above in the disclosed embodiments can be substituted or combined with each other, enabling those skilled in the art to implement or use this application. The above description is merely a preferred embodiment of the present utility model and is not intended to limit the present utility model in any way. Although the present utility model has been disclosed above with reference to preferred embodiments, it is not intended to limit the present utility model. Any person skilled in the art can make many possible variations and modifications to the technical solution of the present utility model using the disclosed methods and techniques, or modify it into equivalent embodiments with equivalent changes, without departing from the scope of the technical solution of the present utility model. Therefore, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present utility model without departing from the content of the technical solution of the present utility model shall still fall within the protection scope of the technical solution of the present utility model.

Claims

1. An intelligent hyperspectral water quality monitoring integrated machine, characterized in that, The intelligent hyperspectral water quality monitoring integrated machine includes a data acquisition unit, a data processing module, and various external sensors; the data acquisition unit is equipped with various types of sensor interfaces; The data processing module includes at least a main controller, a remote communication unit, a power management unit, a human-machine interaction unit, and a local communication unit; The main controller is connected to the data acquisition unit, the remote communication unit, the human-computer interaction unit, and the local communication unit, respectively. The data acquisition unit is connected to the various external sensors through the various types of sensor interfaces.

2. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, The various external sensors include at least a flow monitoring sensor, a polluted gas monitoring module, a rainfall monitoring sensor, a spectral sensor, and a video sensor.

3. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, The data acquisition unit is connected to various external sensors through expanded physical access interfaces for multiple types of sensors.

4. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, It also includes a direct memory access controller; the direct memory access controller is connected to the main controller.

5. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, It also includes an interface protection module; the interface protection module is connected to the remote communication unit, the power management unit, the human-machine interaction unit and the local communication unit respectively.

6. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, It also includes a millimeter-wave radar; the millimeter-wave radar is connected to the data acquisition unit.

7. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, It also includes a local display screen; the local display screen is connected to the data processing module.

8. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, It also includes a power consumption control unit; the power consumption control unit is connected to the data processing module.

9. The intelligent hyperspectral water quality monitoring integrated machine according to claim 1, characterized in that, It also includes dual built-in cameras; the dual built-in cameras are connected to the data acquisition unit.

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