TWI881407B - IoT SMART UNDERWATER VALVE SYSTEM - Google Patents

Abstract

This present invention provides an IoT smart underwater valve system including a server module, a control module, a motor module, a switch module, and a valve module. The valve module has multiple valves, and every valve has multiple sensors, and every valve is connected mutually and connected to the switch module; the switch module is also connected with the motor module, wherein the switch module is powered by the motor module; the control module controls the output of the motor module and connects to the server module; and the server module can receive inputs for a user and send them to the control module to adjust the motor module and the switch module.

Description

IoT Smart Subsea Valve System

A valve system, especially a subsea valve system.

Submerged valve systems are widely used in different fields, especially in the agricultural field. In agriculture, underwater valve systems can be used to manage irrigation or fertilization to achieve control and water-saving benefits. Through the installation and operation of underwater valve systems, farmers can adjust the amount of water, fertilizer or irrigation time according to the needs of plants to ensure that crops get enough water and nutrients, while avoiding the waste of water resources and fertilizers. However, due to the particularity of the underwater environment, existing underwater valves can often only achieve basic opening and closing functions, and cannot be accurately adjusted according to actual needs, nor can they be intelligently controlled and adjusted according to the needs of plants or users.

In addition, existing subsea valve systems face some difficulties in monitoring, diagnosis and maintenance, and also have problems with poor reliability. Due to the limitations of the underwater environment, the operating status and internal conditions of the valve cannot be directly observed. In addition, the diagnosis and fault detection of subsea valves are also difficult. In the underwater environment, special underwater operation techniques and equipment are required to inspect and repair valves, which increases costs and difficulties. Diagnosing valve failures usually requires professional technicians to perform underwater inspections and tests, which may result in downtime and high repair costs.

In view of this, developing a subsea valve system that can be conveniently and accurately controlled has become an urgent development goal in related fields.

In order to solve the problem that the existing underwater valve technology cannot be accurately adjusted according to actual needs and has poor reliability, the present invention provides an Internet of Things smart underwater valve system, which includes a servo module, a control module, a motor module, a switch module and a valve module, wherein: the valve module includes a plurality of valves, each of which includes a plurality of sensors, and each of the valves is signal-connected to each other and is connected to the switch module; the switch module is also connected to the motor module. The module is connected to the control module, wherein the switch module is driven by the motor module and can determine whether each valve is opened and the opening size according to the instructions provided by the control module; the control module can control the output of the motor module and is connected to the servo module signal; and the servo module can be input by a user and set conditions to the control module to adjust the motor module and the switch module, wherein the servo module has a high-throughput and low-latency hardware architecture.

The control module is signal-connected to the valve module, and the control module slightly adjusts the switch module and the motor module according to the signal transmitted by the valve module.

Among them, a terminal device is signal-connected to the servo module and the control module. The user can directly transmit instructions to the control module through the terminal device and obtain the operating status information of the IoT smart underwater valve system displayed on the terminal device.

The terminal equipment includes a mobile device, a smart phone, a notebook computer, an automatic service machine and other human-machine interfaces.

The sensor includes a pressure sensor, a humidity sensor and a leakage sensor.

The servo module includes a vector database and a converter. The vector database is used to access state data of the IoT smart underwater valve system. The state data includes the state and operation history data of the control module, the motor module, the switch module, the valve module and the terminal device. The vector database converts the state data into vector data for storage through a clustering extraction process through the converter.

The converter converts and processes the state data and the vector data by means of a recurrent neural network (RNN), a long short-term memory network (LSTM), and a gated recurrent unit (GRU).

The terminal device can transmit and provide a training data required by the converter, and provide an update of an algorithm model of the converter.

Each of the signal connections transmits signals through a wireless connection using a wireless transmission protocol.

Among them, the wireless transmission protocols include Long Term Evolution (LTE), 5G NR, millimeter wave protocol (mmWave), multiple-input multiple-output system protocol (MIMO), and Bluetooth protocol.

From the above description, it can be seen that the present invention has the following features:

1. The present invention connects the components of each system through the Internet of Things technology, which can ensure smooth communication between components, enhance the synergy effect, make the control of each valve more precise, and also ensure smooth operation between components, avoiding the problem of delayed fault detection caused by the difficulty of underwater equipment inspection in previous technologies.

2. The present invention is equipped with a servo module with a vector database and a converter, and achieves more accurate valve control and fault warning and diagnosis through machine learning and artificial intelligence, solving the difficulties faced by previous technologies in diagnosis and fault prediction, achieving the unexpected effects of real-time warning and diagnosis, and significantly reducing labor costs.

3. This invention greatly automates valve control and uses machine learning to reduce manual decision-making errors and improve valve control accuracy through data analysis of the converter algorithm and close connections between components.

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction of the drawings required for the description of each embodiment. Obviously, the drawings described below are only some examples or embodiments of the present invention. For ordinary technicians in this field, the present invention can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

As shown in the present invention and claims, unless the context clearly indicates an exception, the words "a", "an", "an" or "the" do not refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or apparatus may also include other steps or elements.

Flowcharts are used in the present invention to illustrate the operations performed by the system according to the embodiments of the present invention. It should be understood that the preceding or succeeding operations are not necessarily performed in exact order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may be added to these processes, or one or more operations may be removed from these processes.

Please refer to FIG. 1, which is an IoT smart underwater valve system provided by the present invention. The IoT smart underwater valve system can partially operate under the liquid surface, and includes a servo module 100, a control module 200, a motor module 300, a switch module 400, and a valve module 500. The valve module 500 includes a plurality of valves, each of which is connected to each other by signals and each of which is connected to the switch module 400, and the switch module 400 is connected to the motor module 300 and the control module 200. Preferably, each of the valves is connected via a wireless transmission protocol signal. The switch module 400 is driven by the motor module 300 and can determine whether each valve is opened and the opening size according to the instruction provided by the control module 200. Preferably, each valve includes a plurality of sensors, including a pressure sensor, a humidity sensor and a leakage sensor.

In a preferred embodiment, the valve module 500 includes three valves, namely a first valve 501, a second valve 502 and a third valve 503. The first valve 501 is used to control the flow and pressure of water so as to accurately irrigate the required amount of water to the plants and avoid water waste caused by a large amount of water supply at one time; the second valve 502 is used to control the flow of plant nutrients and plant protection products, and then output them to the required area through the pipeline system for fertilization and plant protection; and the third valve 503 is used to control the flow and pressure of gas to assist plant growth. In the preferred embodiment, the third valve 503 is used to control the transmission concentration of carbon dioxide gas and ethylene gas in the greenhouse, wherein the carbon dioxide gas can use carbon dioxide obtained from carbon capture technology. Carbon dioxide can increase the photosynthesis efficiency of plants and accelerate plant growth, while ethylene gas can help accelerate the ripening of fruits.

The control module 200 can control the output of the motor module 300, such as the torque and speed of the motor, and provide the switch module 400 with instructions for adjusting the size of each valve switch. The control module 200 is connected to the servo module 100 by signal. The servo module 100 can adjust the motor module 300 and the switch module 400 according to the instructions and setting conditions input by the user, thereby achieving the effect of accurately controlling the valve. Among them, the servo module 100 is a server specially designed and optimized for running artificial intelligence work. The servo module 100 has a high-throughput and low-latency hardware architecture. Preferably, the control module 200 is signal-connected to the valve module 500. In addition to obtaining instructions from the servo module 100 to adjust the motor module 300 and the switch module 400, the control module 200 can also analyze the signals transmitted by the sensors of the valve module 500, such as whether the valves have been opened to a specified size or angle, the pressure values of the environment and the valve, etc., to provide feedback and further accurately adjust the motor module 300 and the switch module 400 until the valves are correctly opened to the specified size or correctly closed.

In a preferred embodiment, the valves can also communicate with each other to transmit valve status information, and can mutually adjust and coordinate the opening amount of each valve through the information communicated with each other and return it to the control module 200. Among them, each valve transmits the information for mutual communication in the manner of long-term evolution technology (LTE), 5G NR, millimeter wave protocol (mmWave), multiple input multiple output system protocol (MIMO), Bluetooth protocol, etc. For example, when the opening amount of the first valve 501 is greater than the optimal value, the valve status information of the value obtained by the sensor will be transmitted to the second valve 502. When the first valve 501 transmits to the control module 200 a notification to reduce the opening amount, the second valve 502 also receives the status information of the first valve 501 and transmits to the control module 200 a notification to reduce the opening amount to prevent the water in the plant nutrient solution from causing the plant to obtain too much water. Through the mutual communication between the valves, the accumulated error is dynamically eliminated and reduced to a large extent, so as to achieve the effect of precise regulation.

In addition to being controlled by the servo module 100 and the motor module 300 and the switch module 400 being regulated by the feedback of the valve module 500, the control module 200 can also be connected to a terminal device A of a user by signal. The user can directly transmit instructions to the control module 200 through the terminal device A and obtain the operation status information of the IoT smart underwater valve system displayed on the terminal device A. Preferably, the terminal device A is connected to the control module 200 by signal through a wireless transmission protocol signal connection in the manner of long term evolution technology (LTE), 5G NR, millimeter wave protocol (mmWave), multiple input multiple output system protocol (MIMO), Bluetooth protocol, etc.

In a preferred embodiment, the terminal device A includes the user's mobile device, such as a smart phone, a laptop, etc. The terminal device A can also be a kiosk or any human-machine interface to help the user understand the operation status of the IoT smart underwater valve system in real time and control the delivery status of the valve module 500.

Please refer to FIG. 2 , the servo module 100 is a servo system designed for artificial intelligence applications, and the servo module 100 includes a vector database 110 and a converter 120. The vector database 110 is used to access a state data of the IoT smart underwater valve system, and the state data includes the state and operation history data of the control module 200, the motor module 300, the switch module 400, the valve module 500, and the terminal device A, especially the data transmitted by each sensor of the valve module 500. The vector database 110 converts the state data into a vector data storage through the converter 120 through the process of grouping extraction. The converter 120 can efficiently process and query a large amount of vector data, and perform feature extraction and vectorization processing on the state data to convert it into the vector data for storage. Preferably, the converter 120 converts and processes the state data and the vector data by means of a recurrent neural network (RNN), a long short-term memory network (LSTM), and a gated recurrent unit (GRU), so that the converter 120 can perform analysis and prediction of control according to the analysis of the item database 110 and the state data and the vector data currently input by the control module 200. The servo module 100 can also be connected to the terminal device A signal, so that the user can input or obtain the state data and provide the training data required by the converter 120.

In a preferred embodiment, the converter 120 uses a long-term and short-term memory network and a gated loop unit to determine the importance weight of the state data and the vector data through a plurality of gated units to make an analysis, and analyzes and provides precise control through the current operating state in the state data and the past operating state of the IoT smart underwater valve system. In the initial stage, the converter 120 first uses part of the state data and the vector data as a training data, another part as a verification data, and the rest as a validation data. Part of it is used as a test data, and after determining the number of layers or units of the network of the recurrent neural network, the long short-term memory network, and the gated recurrent unit, the model is trained and verified. After adjusting the number of layers or the number of units of the model, the above steps are repeated to confirm that the algorithm used by the converter 120 can enable the control module 200 to accurately regulate the valve module 500, and then the optimized algorithm is used to analyze the state data to provide regulation, state prediction, and fault diagnosis for the IoT smart underwater valve system. For example, the calculation model of the converter 120 extracts the characteristics of the state data of the valve module 500 regarding the plurality of sensors regarding the hydraulic pressure, analyzes the correlation between the hydraulic pressure and the plurality of flow rates that the valve module 500 wants to output, and outputs a correction instruction to the control module 200 when the hydraulic pressure does not meet the flow rate. The converter 120 can also be connected to the terminal device A by signal, so that the user can input or obtain the state data and provide the training data required by the converter 120, and can obtain the analysis and diagnosis results generated by the converter 120 on the state data and the vector data, and provide the artificial intelligence algorithm model required by the converter 120, that is, the update of the long short-term memory network and the gated loop unit model. Preferably, the terminal device A is connected to the servo module 100 by signal through a wireless transmission protocol signal connection in the manner of long-term evolution technology (LTE), 5G NR, millimeter wave protocol (mmWave), multiple input multiple output system protocol (MIMO), Bluetooth protocol, etc.

From the above description, it can be seen that the present invention achieves the following effects:

1. The present invention connects the components of each system through the Internet of Things technology, which can ensure smooth communication between components, enhance the synergy effect, make the control of each valve more precise, and also ensure smooth operation between components, avoiding the problem of delayed fault detection caused by the difficulty of underwater equipment inspection in previous technologies.

2. The present invention is equipped with a servo module with a vector database and a converter, and achieves more accurate valve control and fault warning and diagnosis through machine learning and artificial intelligence, solving the difficulties faced by previous technologies in diagnosis and fault prediction, achieving the unexpected effects of real-time warning and diagnosis, and significantly reducing labor costs.

3. This invention greatly automates valve control and uses machine learning to reduce manual decision-making errors and improve valve control accuracy through data analysis of the converter algorithm and close connections between components.

It should be noted that, according to the explanation and elaboration of the above specification, the technical personnel in the field to which the present disclosure belongs can also change and modify the above implementation. Therefore, the present disclosure is not limited to the specific implementation disclosed and described above, and some equivalent modifications and changes to the present disclosure should also be within the scope of protection of the claims of the present disclosure. In addition, although this specification uses some specific terms, these terms are only for the convenience of explanation and do not constitute any limitation to the invention.

100: Servo module 110: Vector database 120: Converter 200: Control module 300: Motor module 400: Switch module 500: Valve module 501: First valve 502: Second valve 503: Third valve A: Terminal device

FIG1 is a system block diagram of a preferred embodiment of the present invention; and FIG2 is a system block diagram of a servo module of a preferred embodiment of the present invention.

100:Servo module

200: Control module

300: Motor module

400: switch module

500: Valve module

501: First valve

502: Second valve

503: The third valve

A:Terminal device

Claims (8)

An Internet of Things smart underwater valve system includes a servo module, a control module, a motor module, a switch module and a valve module, wherein: the valve module includes a plurality of valves, each of which includes a plurality of sensors, wherein the sensors include a pressure sensor, a humidity sensor and a leakage sensor, and each of the valves is connected to each other by signals, and the opening amount of each valve is mutually adjusted by signals and returned to the control module, wherein each valve is connected to the switch module; the switch module is also connected to the motor module and the control module, and the valve module ... the valves are connected to each other by signals, and the opening amount of each valve is mutually adjusted by signals and returned to the control module, wherein each valve is connected to the switch module; the switch module is also connected to the motor module and the control module, and the valve module includes a plurality of sensors, wherein the sensors include a pressure sensor, a humidity sensor and a leakage sensor, and the valves are connected to each other by signals, and the opening amount of each valve is mutually adjusted by signals and returned to the control module, and the valve module includes a plurality of sensors, wherein the sensors include a pressure sensor, a humidity sensor and a leakage sensor, and the valves are connected to each other by signals, and the opening amount of each valve is mutually adjusted by signals and returned to the control module, and the valve module includes a plurality of sensors, wherein the sensors include a pressure sensor, a humidity sensor and a leakage sensor, and the valves are connected to each other by signals, and the opening amount of each valve is mutually adjusted by signals, and the opening amount of each valve is returned to the control module, and the valve module includes a plurality of sensors, wherein the sensors include a pressure sensor, a humidity sensor and a leakage sensor, and the valves are connected to each other by signals, and the The switch module is driven by the motor module and can determine whether each valve is opened and the opening size according to the instructions provided by the control module; the control module can control the output of the motor module and is connected to the servo module and the valve module signal, wherein the control module can slightly adjust the switch module and the motor module according to the signal of the sensor of the valve module; and the servo module can be input by a user The command and setting conditions are sent to the control module to adjust the motor module and the switch module, wherein the servo module has a high-throughput and low-latency hardware architecture. As described in claim 1, a terminal device is connected to the servo module and the control module by signal, and the user can directly transmit instructions to the control module through the terminal device and obtain the operating status information of the IoT smart underwater valve system displayed on the terminal device. The IoT smart underwater valve system as described in claim 2, wherein the terminal device includes a human-machine interface such as a mobile device, a smart phone, a notebook computer, and an automatic service machine. The IoT smart underwater valve system as described in claim 2, wherein the servo module includes a vector database and a converter, the vector database is used to access a state data of the IoT smart underwater valve system, the state data includes the state and operation history data of the control module, the motor module, the switch module, the valve module and the terminal device, wherein the vector database converts the state data into a vector data storage through the process of grouping extraction through the converter. The IoT smart underwater valve system as described in claim 4, wherein the converter converts and processes the state data and the vector data by means of a recurrent neural network (RNN), a long short-term memory network (LSTM), and a gated recurrent unit (GRU). The IoT smart underwater valve system as described in claim 4, wherein the terminal device can transmit and provide a training data required by the converter, and provide an update of an algorithm model of the converter. An IoT smart underwater valve system as described in any one of claim items 1 to 4, wherein each signal connection transmits a signal via a wireless connection using a wireless transmission protocol. The IoT smart underwater valve system as described in claim 7, wherein the wireless transmission protocol includes Long Term Evolution (LTE), 5G NR, millimeter wave protocol (mmWave), multiple input multiple output system protocol (MIMO), and Bluetooth protocol.

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