Intelligent water pumping device based on Internet of Things and control method thereof

Abstract

The embodiment of the invention discloses an intelligent water pumping device based on the Internet of Things and a control method thereof, and relates to the technical field of electric power intelligent control, the intelligent water pumping device based on the Internet of Things comprises a core control module, a data acquisition unit and a communication unit; the core control module is electrically connected with the data acquisition unit and the communication unit, and is used for scheduling data and driving the water pumping equipment to operate; the data acquisition unit is used for acquiring a power supply parameter, a fluid parameter, a working condition state parameter and an environment triggering parameter in the operation process of the water pumping equipment, and transmitting the acquired data to the core control module; the communication unit establishes network connection with a remote monitoring platform, and the cloud control instruction is executed prior to the local control instruction. Digital collection, remote control, automatic operation and standardized management of water pumping operation are achieved, the labor cost is reduced, and the operation efficiency and reliability are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent power control technology, and in particular to an intelligent water pumping device based on the Internet of Things and its control method. Background Technology

[0002] Existing pumping equipment largely relies on manual on-site operation. Basic products lack electronic sensing and communication functions, and key data such as operating status, pumping volume, and energy consumption need to be manually judged and recorded, resulting in extensive management. Some products with local instrument indicators cannot achieve remote data transmission and analysis, and traditional equipment is difficult to start and stop automatically according to operating conditions, requiring dedicated personnel to operate, which leads to high labor costs. Intelligent solutions using general controllers or IoT modules suffer from poor system compatibility, long development cycles, high maintenance costs, and insufficient reliability, hindering the popularization of intelligent pumping equipment. Summary of the Invention

[0003] The technical problem to be solved by the embodiments of the present invention is that the operation of existing pumping equipment relies on manual labor.

[0004] To address the aforementioned problems, this invention discloses an intelligent pumping device based on the Internet of Things (IoT). This device enables digital data collection, remote control, automated operation, and standardized management of pumping operations, reducing labor costs and improving operational efficiency and reliability.

[0005] On one hand, the present invention provides an IoT-based intelligent pumping device, which includes a core control module, a data acquisition unit, and a communication unit. The core control module is electrically connected to the data acquisition unit and the communication unit, and is used to schedule data and drive the operation of the pumping equipment. The data acquisition unit is used to collect power parameters, fluid parameters, operating status parameters, and environmental trigger parameters during the operation of the pumping equipment, and transmits the collected data to the core control module. The communication unit establishes a network connection with a remote monitoring platform, and cloud control commands are executed before local control commands.

[0006] A further technical solution is that the core control module integrates a drive circuit, which is used to control the power supply of the pumping equipment.

[0007] A further technical solution is that the core control module integrates a data management circuit, which is used to monitor changes in the status signals of the pumping equipment, record start and stop timestamps, accumulate running time, and can be combined with power parameters to assist in verifying the operating status.

[0008] A further technical solution is that the core control module integrates a mode control circuit, which supports automatic control mode and at least one local manual control mode. Each mode can be switched through local operation or remote command.

[0009] A further technical solution is that the data acquisition unit includes: a power monitoring module for acquiring current, voltage, power and cumulative power consumption data; a flow detection module for acquiring instantaneous flow rate and cumulative flow rate data of the fluid; and an environmental trigger sensor for acquiring environmental state parameters related to the pumping operation.

[0010] A further technical solution is that the flow detection module uses an intelligent detection device with a communication interface, which is connected in series in the fluid delivery pipeline of the pumping equipment, and calculates the fluid flow rate based on the pulse detection principle.

[0011] A further technical solution is that the environmental trigger sensor is an electrode sensor, which is installed in the operation-related area of ​​the pumping equipment.

[0012] A further technical solution is that the communication unit supports the MQTT communication protocol and reports the structured data processed by the core control module to the remote monitoring platform in a standardized format. The structured data is parsed, formatted, checked for integrity, and merged and cached before being encapsulated and transmitted.

[0013] On the other hand, the present invention also provides a control method for an IoT-based intelligent pumping device as described in any of the above embodiments, comprising the following steps: The receiving data acquisition unit collects operating data during the operation of the pumping equipment. The collected data includes power parameters, fluid parameters, operating condition parameters, and environmental triggering parameters. The operational data is reported to the remote monitoring platform, and cloud control commands issued by the remote monitoring platform are received. Prioritize executing cloud control commands. If no cloud control commands are received, continue to drive the pumping equipment and dynamically adjust its operating status based on local preset logic and real-time parameter data from the data acquisition unit.

[0014] Compared with the prior art, the technical effects achieved by the embodiments of the present invention include: This invention achieves comprehensive data collection, remote real-time monitoring, and intelligent control of pumping equipment operation through the coordinated operation of a core control module, data acquisition unit, and remote communication unit. The design of prioritizing cloud-based command execution ensures the effectiveness and flexibility of remote management. The core control module integrates execution drive, data management, and mode control circuits, simplifying the system structure and improving operational reliability and integration. The standardized interface design and communication protocol adaptation lower the application threshold, enabling it to be widely adapted to pumping operation needs in different scenarios, significantly reducing manual intervention, improving operational efficiency, and lowering maintenance costs and failure risks. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic diagram of an intelligent water pumping device based on the Internet of Things provided in an embodiment of the present invention; Figure 2 A flowchart illustrating a control method for an IoT-based intelligent pumping device provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of a sub-process of a control method for an IoT-based intelligent pumping device provided in an embodiment of the present invention.

[0017] Figure Labels 1. Core control module; 2. Data acquisition unit; 3. Communication unit; 21. Power monitoring module; 22. Flow detection module; 23. Environmental trigger sensor. Detailed Implementation

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Similar component reference numerals in the drawings represent similar components. Obviously, the embodiments described below are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0019] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0020] It should also be understood that the terminology used in this specification of embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of the invention. As used in this specification of embodiments of the invention and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0021] See Figure 1This invention provides an IoT-based intelligent pumping device. The IoT-based intelligent pumping device includes a core control module, a data acquisition unit, and a communication unit. The core control module is electrically connected to both the data acquisition unit and the communication unit, and is used to schedule data and drive the pumping equipment. The data acquisition unit collects power parameters, fluid parameters, operating status parameters, and environmental trigger parameters during the operation of the pumping equipment, and transmits the collected data to the core control module. The communication unit establishes a network connection with a remote monitoring platform, and cloud-based control commands take precedence over local control commands. Specific descriptions of each component are as follows: In this embodiment, the core control module, as the core processing unit of the device, undertakes functions such as data scheduling, equipment driving, and logic operations, and serves as the control center for the collaborative work of various units. The data acquisition unit is responsible for collecting key parameters of the entire pumping operation process, including power parameters (current, voltage, etc.), fluid parameters (flow rate, etc.), operating status parameters (equipment operating status, etc.), and environmental triggering parameters (water level, etc.), providing data support for control decisions. The remote communication unit realizes the network connection between the device and the remote monitoring platform, and completes data uploading and command reception.

[0022] An STM32 series embedded industrial-grade controller is selected as the core control module. This controller establishes electrical connections with each module of the data acquisition unit through the GPIO interface and connects to the remote communication unit (using a 4G communication module) through the UART interface. The data acquisition unit is deployed near the power supply circuit, outlet pipe, and suction port of the pumping equipment. The remote communication unit establishes a connection with the cloud platform through the 4G network. During actual operation, the data acquisition unit continuously collects relevant parameters and transmits them to the core control module. After preliminary processing of the data, the core control module uploads it to the cloud platform through the remote communication unit. The start and stop commands issued by the management personnel through the cloud platform can be executed in priority over local operations, directly controlling the operation of the pumping equipment.

[0023] It breaks through the limitations of traditional pumping equipment that requires local operation and manual judgment, and constructs a complete architecture of "data acquisition-remote management-intelligent control", realizing the digitalization and remote operation of pumping operations.

[0024] In this embodiment, the core control module integrates a drive circuit, which is used to control the power supply of the pumping equipment.

[0025] Specifically, the drive circuit is integrated into the core control module, including a digital output interface, a digital input interface, and related control logic circuits. The digital output interface is used to connect external drive components such as relays and contactors, while the digital input interface is used to receive feedback signals from the equipment's operating status. Action commands are sent to external drive components (such as relays or contactors) through the drive circuit's digital output interface, thereby directly controlling the power supply to the water pump motor and completing the "drive water pump motor" operation.

[0026] Furthermore, the core control module integrates a data management circuit, which is used to monitor changes in the status signals of the pumping equipment, record start and stop timestamps, accumulate running time, and can be combined with power parameters to assist in verifying the operating status.

[0027] Specifically, the data management circuit acquires the water pump's operating status signal and detects the pump's start and stop times through state machine logic. When a change from 0 to 1 is detected, a start timestamp is recorded; when the water pump is running, the running time of the current session is calculated in real time. This data management circuit uses system context persistent storage of timing states to ensure that data is not lost after device restart. The running time calculation function is embedded in the main controller's firmware as a software algorithm, and is calculated by processing the status signals provided by the IO signal data acquisition module. This module solves the problem of automatically and accurately recording the water pump's cumulative running time, replacing traditional manual timing. The running time calculation can be supplemented by the current value of the power monitoring module (the water pump is considered to be running when the current is greater than a threshold), serving as a redundant backup in case of status signal failure, thereby improving system reliability.

[0028] Furthermore, the core control module integrates a mode control circuit, which supports automatic control mode and at least one local manual control mode. Each mode can be switched through local operation or remote command.

[0029] Specifically, unlike conventional water pumps where control is entirely fixed to a local physical switch, the mode control circuit is configured with "priority and coverage of cloud commands." Specifically, even if the physical switch at the pump site is set to "manual" or "automatic" mode, authorized users can still remotely issue control policies through the cloud platform to dynamically reconfigure its operating mode (such as forcibly switching to automatic, manual, or standby), or directly execute start / stop commands.

[0030] Furthermore, the data acquisition unit includes: a power monitoring module for acquiring current, voltage, power and cumulative power consumption data; a flow detection module for acquiring instantaneous flow rate and cumulative flow rate data of the fluid; and an environmental trigger sensor for acquiring environmental state parameters related to the pumping operation.

[0031] Specifically, when the data acquisition unit is deployed, the power monitoring module is connected in series in the power supply circuit of the pumping equipment, the flow detection module is connected in series on the outlet pipe of the water pump, and the environmental trigger sensor is installed at the lowest water level monitoring point below the pump body's suction port. During operation, the power monitoring module collects parameters such as current and voltage of the power supply circuit in real time, the flow detection module collects instantaneous flow and cumulative flow, and the environmental trigger sensor collects water level status. All parameters are transmitted to the core control module in real time.

[0032] Furthermore, the flow detection module employs an intelligent detection device with a communication interface, which is connected in series with the fluid delivery pipeline of the pumping equipment to calculate the fluid flow rate based on the pulse detection principle.

[0033] Specifically, the flow detection module includes an intelligent flow meter with an RS-485 communication interface. This flow meter detects the pulse frequency generated by fluid flow using a Hall sensor and calculates the real-time flow rate according to the formula "Instantaneous Flow Rate (LPM) = Input Frequency / K Value × 60". The pulses are then accumulated to obtain the total flow rate. Its core parameter, the K value, can be calibrated and set by the user to adapt to different pipe diameters and fluid characteristics. Measurement data is transmitted to the system's main controller via the RS-485 interface, following the Modbus-RTU communication protocol. During installation, this module must be connected in series in the pump's outlet pipe, ensuring sufficient straight pipe sections (typically 10 times and 5 times the pipe diameter, respectively) at both the inlet and outlet ends to guarantee measurement accuracy and consistency. Its power supply (10-30VDC) and communication line (RS-485+ / -) must be connected to the system's power circuit and the main controller's RS-485 communication interface, respectively. This module solves the problem of accurate and reliable acquisition and remote transmission of water flow data, providing a crucial data source for the system to achieve pumping volume statistics and efficiency analysis.

[0034] Furthermore, the environmental trigger sensor is an electrode-type sensor, installed in the operation-related area of ​​the pumping equipment.

[0035] Specifically, the environmental trigger sensor includes an electrode-type water immersion sensor, which operates based on the conductivity of liquids. When the sensor probe electrode comes into contact with water, the circuit is activated, and a level change signal is output to the controller. This sensor is installed near the lowest monitored liquid level near the pump's suction port and connects to the main controller's digital input port via a standard interface (such as a digital output interface). It provides the system with crucial water level status information and is the core basis for intelligently controlling the pump's start and stop in "automatic mode."

[0036] Furthermore, the core control module adopts an embedded industrial-grade controller, which is electrically connected to each unit through an onboard general interface, including GPIO and ADC.

[0037] Specifically, the GPIO interface is used for digital signal input and output, and the ADC interface is used to convert analog sensor signals into digital signals, realizing electrical connection and signal transmission with each unit.

[0038] The controller connects to the control pins of the remote communication unit and the control terminals of the execution drive circuit through the onboard GPIO interface to realize the transmission of digital signals; it connects to the analog signal output terminal of the power monitoring module through the ADC interface to convert the collected analog electrical parameters into digital signals for processing, ensuring stable communication and signal interaction between each unit and the core control module.

[0039] Furthermore, the communication unit supports the MQTT communication protocol, which reports the structured data processed by the core control module to the remote monitoring platform in a standardized format. The structured data is parsed, formatted, checked for integrity, and cached before being encapsulated and transmitted.

[0040] Specifically, the MQTT communication protocol has the advantages of being lightweight and having low bandwidth consumption, making it suitable for data transmission in IoT devices.

[0041] In one embodiment, the core control module parses and formats the collected parameter data, then performs an integrity check (verifies whether key parameters are missing), merges and caches the complete data (temporarily stored in the local storage unit, triggering an upload every 5 seconds), and finally encapsulates the data in JSON format and publishes it to the remote monitoring platform via the MQTT protocol. After receiving the data, the platform stores and analyzes it, and administrators can view real-time and historical data through the platform.

[0042] Furthermore, the communication unit supports wired Ethernet, Wi-Fi, or cellular mobile network communication methods.

[0043] Specifically, the support for multiple communication methods enables the device to adapt to different application scenarios, solving the application limitations caused by traditional devices only supporting a single communication method. Users can flexibly choose according to the on-site network conditions, reducing deployment costs and difficulties, and improving the device's versatility and market applicability.

[0044] See Figure 2 The present invention also provides a control method for an IoT-based intelligent pumping device as described in any of the above embodiments, comprising steps S1-S3: S1, receiving data acquisition unit to collect operating data during the operation of the pumping equipment, the collected data including power parameters, fluid parameters, operating condition parameters and environmental trigger parameters.

[0045] S2, the operation data is reported to the remote monitoring platform, and cloud control instructions are received from the remote monitoring platform.

[0046] S3 prioritizes executing cloud control commands. If no cloud control commands are received, it continuously drives the pumping equipment to operate and dynamically adjusts its operating status based on local preset logic and real-time parameter data from the data acquisition unit.

[0047] In a specific embodiment, the preset data acquisition cycle is 5 seconds. Data collected by each module is transmitted to the core control module in real time via GPIO and ADC interfaces. After receiving the data, the core control module performs scheduling processing through built-in logic algorithms: First, it verifies the validity of the data (e.g., whether the current data is within the normal range of 0-50A) and removes outliers; then, it judges the equipment operating status according to the preset control logic: if the environmental trigger sensor outputs a low level (water level meets the standard) and there is no local manual command, the core control module generates a "pump start" control command, drives the relay to engage through the drive circuit, and powers on the pump motor; during operation, the motor operating power is adjusted in real time according to the flow data (e.g., when the flow rate is lower than 10L / min, the power is appropriately increased to ensure pumping efficiency). Data is reported to the platform every 5 seconds through the remote communication unit, while the communication unit continuously listens for cloud control commands issued by the platform (e.g., "stop running" or "switch to manual mode"). When both cloud control commands and local operation commands are received simultaneously, the cloud command is executed first. For example, on-site operators select "manual operation" mode (local command) via a local button, but the remote platform issues a "stop operation" command (cloud command) due to job scheduling. Upon receiving the command, the core control module immediately interrupts the execution of the local manual command, cuts off the power supply to the water pump motor through the execution drive circuit, and reports the feedback information "cloud stop command executed" to the platform. If no cloud command is received, the system continues to dynamically adjust the equipment's operating status based on the local preset logic in step S2 and real-time collected data (e.g., automatically generating a "stop" command when the water level drops to a waterless state).

[0048] This control method clarifies the collaborative operation process of each unit, and ensures the timeliness and accuracy of control through periodic data collection and real-time scheduling. The logic of prioritizing cloud-based commands ensures the authority of remote management and solves the problem of conflict between remote control and local operation of traditional equipment. The data verification and dynamic adjustment mechanism improves the reliability of control and avoids misoperation due to abnormal data. Compared with the traditional control method of "fixed logic + manual intervention", it realizes the automation, intelligence and remote operation of pumping operations, significantly reduces labor costs and improves operational efficiency and scheduling flexibility.

[0049] In one embodiment, see Figure 3 The above step S1 includes steps S11-S14: S11, preset the data acquisition cycle and acquisition thresholds for each parameter, and multiple acquisition modules of the data acquisition unit start acquisition work synchronously.

[0050] In a specific embodiment, the core control module sends preset parameters to the data acquisition unit through the communication link: the data acquisition cycle is set to 5 seconds, the power parameter acquisition threshold (current 0-50A, voltage 200-240V), the flow acquisition threshold (instantaneous flow 0-100L / min), and the environmental trigger parameter threshold (low-level trigger of water level sensor is effective); after receiving the configuration parameters, each acquisition module (power monitoring module, flow detection module, and environmental trigger sensor) completes initialization and synchronously waits for the acquisition trigger signal.

[0051] S12, the power monitoring module collects the current, voltage, power and cumulative power consumption data of the pumping equipment, the flow detection module collects the instantaneous flow and cumulative flow data of the fluid based on the pulse detection principle, and the environmental trigger sensor collects the environmental status parameters of the working area based on the conductivity of the medium.

[0052] In a specific embodiment, the core control module sends a data acquisition trigger signal every 5 seconds, and all modules synchronously start data acquisition: The power monitoring module (RS-485 intelligent power acquisition module) is connected in series in the power supply circuit. It collects current and voltage analog signals through the built-in ADC chip and converts them into digital power and cumulative power consumption data through the module's internal algorithm. The flow detection module (Hall effect intelligent flow meter) is connected in series in the horizontal section of the outlet pipe. The fluid drives the impeller to rotate and generate pulse signals. The module counts the pulse frequency (range 0-1000Hz) and calculates the instantaneous flow rate using the formula "instantaneous flow rate = pulse frequency / K value × 60" (K value is calibrated to 1200 pulses / L). The total flow rate is obtained by accumulating the number of pulses. The environmental trigger sensor (electrode-type water level sensor) is installed 10cm below the water inlet. When the water level touches the probe, the circuit is turned on and outputs a low level (0V). When there is no water, it outputs a high level (3.3V) to collect environmental status parameters.

[0053] S13, each acquisition module performs preliminary filtering on the acquired raw data to remove abnormal data, and then performs standardized encapsulation according to the preset data format.

[0054] In a specific embodiment, each acquisition module performs preliminary filtering on the raw data: a moving average filtering algorithm is used to remove sudden abnormal values ​​(such as an instantaneous current of 500A collected by the power monitoring module, which exceeds a preset threshold and is therefore judged as abnormal and removed, while the previous valid data is used); then, the data is standardized and encapsulated according to a preset format, unifying the data type and unit identifier. For example, power data is encapsulated as "Current: 12.3A, Voltage: 220.5V, Power: 2.67kW, Cumulative Power Consumption: 15.8kWh", and flow data is encapsulated as "Instantaneous Flow Rate: 35.6L / min, Cumulative Flow Rate: 128.5m³ / min". 3The environmental parameter is encapsulated as "water level status: high (low level)".

[0055] S14 transmits the encapsulated standardized data to the core control module through a preset communication link.

[0056] In a specific embodiment, the data acquisition unit establishes a communication link with the core control module through onboard GPIO and ADC interfaces to transmit the packaged standardized data in real time. At the same time, the data acquisition unit has a built-in 16GB local storage chip to cache and back up the standardized data transmitted each time. The cache data retention period is set to 30 days. After the period expires, the oldest data is automatically overwritten to ensure data traceability.

[0057] In one embodiment, the data acquisition unit has built-in transmission status detection logic. It determines whether the transmission is successful by receiving the "data reception confirmation signal" from the core control module. If no confirmation signal is received, a retry mechanism is triggered, and the transmission is repeated after 1 second, with the number of retries set to 3. If the transmission is still unsuccessful after 3 retries, the data acquisition unit records the fault information (including the fault time and the identifier of the untransmitted data) and sends "transmission fault" feedback to the core control module through an independent signal pin. After receiving the feedback, the core control module includes the fault information in the reported data and synchronizes it to the remote monitoring platform to remind the management personnel to check the communication link (such as checking the wiring and network status).

[0058] This data acquisition and operation logic method standardizes acquisition parameters through preset configuration, and synchronous acquisition by multiple modules ensures data consistency over time. Data filtering and standardization improve data accuracy and readability, avoiding processing difficulties caused by messy raw data. Local caching and retry mechanisms solve potential data loss problems during data transmission, and fault feedback functions facilitate rapid problem location. Compared with the traditional data acquisition method of "no preprocessing, no backup, and no fault feedback," this method significantly improves the reliability, integrity, and traceability of data acquisition, providing high-quality data support for the logical decision-making of the core control module and the data analysis of the remote monitoring platform.

[0059] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0060] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0061] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0062] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. The illustrative expressions of the above terms in this specification should not be construed as necessarily referring to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. In addition, those skilled in the art can combine and integrate the different embodiments or examples described in this specification.

[0063] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Since these modifications and variations fall within the scope of the claims and their equivalents, this invention also intends to include these modifications and variations.

[0064] The above description describes specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An Internet of Things based smart water pumping device, characterized in that, The core control module, the data acquisition unit and the communication unit are electrically connected, and the core control module is used for scheduling data and driving the pumping equipment to operate. The data acquisition unit is used for collecting power supply parameters, fluid parameters, working condition state parameters and environmental trigger parameters in the operation process of the pumping equipment, and transmitting the collected data to the core control module. The communication unit is connected with a remote monitoring platform, and a cloud control instruction is executed preferentially to a local control instruction. The core control module integrates a driving circuit, and the driving circuit is used for controlling the power on-off of the pumping equipment.

2. The IoT based smart water tapping device as claimed in claim 1 wherein, The core control module integrates a data management circuit, and the data management circuit is used for monitoring the state signal change of the pumping equipment, recording start and stop time stamps, accumulating running time, and assisting in verifying the running state in combination with power supply parameters.

3. The IoT based smart water tapping device as claimed in claim 1 wherein, The core control module integrates a mode control circuit, and the mode control circuit supports an automatic control mode and at least one local manual control mode, and each mode can be switched through local operation or remote instruction.

4. The IoT based smart water tapping device as claimed in claim 1 wherein, The data acquisition unit comprises:

5. The IoT based smart water tapping device as claimed in claim 1 wherein, A power supply monitoring module is used for collecting current, voltage, power and cumulative power consumption data. A flow detection module is used for collecting instantaneous flow and cumulative flow data of fluid. An environmental trigger sensor is used for collecting environmental state parameters related to pumping operation. The flow detection module adopts an intelligent detection device with a communication interface, which is installed in series in the fluid conveying pipeline of the pumping equipment and calculates the fluid flow based on the pulse detection principle.

6. The IoT based smart water abstraction device as claimed in claim 5, wherein, The environmental trigger sensor is an electrode type sensor installed in the operation related area of the pumping equipment.

7. The IoT based smart water tapping device as claimed in claim 5, wherein, The communication unit supports MQTT communication protocol, and the structured data processed by the core control module is reported to the remote monitoring platform in a standardized format.

8. The IoT based smart water tapping device as claimed in claim 1 wherein, The following steps are included:

9. A control method of the smart water pumping device based on the Internet of Things according to any one of claims 1-8, characterized in that, Receiving operation data collected by the data acquisition unit in the operation process of the pumping equipment, wherein the collected data includes power supply parameters, fluid parameters, working condition state parameters and environmental trigger parameters; Reporting the operation data to the remote monitoring platform and receiving the cloud control instruction issued by the remote monitoring platform; Executing the cloud control instruction preferentially, and if no cloud control instruction is received, continuously driving the pumping equipment to operate and dynamically adjusting the operation state according to the local preset logic and real-time parameter data of the data acquisition unit. The step of collecting operation data by the data acquisition unit in the operation process of the pumping equipment comprises: 10.The control method of the IoT-based smart water drawing device according to claim 9, wherein, Presetting data acquisition period and parameter acquisition threshold, and synchronously starting the collection work of multiple acquisition modules of the data acquisition unit; The power supply monitoring module collects current, voltage, power and cumulative power consumption data of the pumping equipment, the flow detection module collects instantaneous flow and cumulative flow data of fluid based on the pulse detection principle, and the environmental trigger sensor collects environmental state parameters of the operation area based on the medium conductivity; Each acquisition module performs preliminary filtering processing on the collected raw data, eliminates abnormal data, and then standardizes and encapsulates according to the preset data format; The encapsulated standardized data is transmitted to the core control module through the preset communication link. ​

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