Water tower monitoring system

TWM688876UActive Publication Date: 2026-10-21王士荣
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Patent Information

Application Number
TW115206453
Authority / Receiving Office
TW · TW
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2026-07-09
Publication Date
2026-10-21
Estimated Expiration
2036-07-08

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Abstract

This invention discloses a water tower monitoring system, comprising: multiple detectors, a processing unit, and a remote monitoring module. The multiple detectors are used to detect the water in a water tower and generate corresponding detection information. The processing unit is electrically connected to each detector and can receive the detection information. Based on the detection information, when the water in the water tower meets one of the preset alarm conditions, the processing unit transmits a corresponding alarm message to a remote device. The remote monitoring module is used to execute on the remote device. The remote monitoring module can receive multiple detection messages transmitted to the remote device by the processing unit, and the remote monitoring module can generate water quality trend information based on the multiple detection messages.
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Claims

1. A water tower monitoring system, comprising: a plurality of detectors, each used to detect water in a water tower and generate corresponding detection information; a processing device electrically connected to each of the detectors, the processing device being able to receive each of the detection information; the processing device being able to transmit a corresponding alarm information to a remote device when the water in the water tower meets one of the preset alarm conditions based on the detection information; and a remote monitoring module for execution on the remote device, the remote monitoring module being able to receive multiple pieces of the detection information transmitted to the remote device by the processing device, and the remote monitoring module being able to generate water quality trend information based on the multiple pieces of the detection information.

2. The water tower monitoring system as described in claim 1, wherein, The remote monitoring module can transmit a corresponding early warning message to at least one terminal device when the water in the water tower meets one of the preset alarm conditions after a preset time, based on the water quality trend information; the terminal device is communicatively connected to the remote device.

3. The water tower monitoring system as described in claim 1, wherein, The processing device can acquire and analyze the corresponding detection information from at least one of the detectors at a preset frequency to determine whether the water in the water tower meets any of the preset alarm conditions.

4. The water tower monitoring system as described in claim 1, wherein, The plurality of detectors include at least one of a pH detector, a turbidity detector, a temperature detector, a total dissolved solids (TDS) detector, a dissolved oxygen detector, a conductivity detector, an oxidation-reduction potential (ORP) detector, and a water level detector.

5. The water tower monitoring system as described in claim 4, wherein, The water tower monitoring system also includes at least one stop module; the stop module is installed in a water outlet pipe connected to the water tower and is electrically connected to the processing device; the processing device can control the stop module according to the detection information when the water in the water tower meets any of the preset alarm conditions, so as to prevent the water in the water tower from flowing out of the water outlet pipe.

6. The water tower monitoring system as described in claim 5, wherein, The water tower monitoring system also includes at least one pumping motor controller, which is connected to a pumping motor, and the pumping motor is connected to the water tower. The processing device can control the stop module and the pumping motor controller according to the detection information when the water in the water tower meets any of the preset alarm conditions, so as to prevent the water in the water tower from flowing out of the outlet pipe and to stop the pumping motor.

7. The water tower monitoring system as described in claim 6, wherein, The water tower monitoring system also includes at least one pressurizing motor controller, which is connected to a pressurizing motor, which is connected to the water tower. The processing device can control the stop module and the pressurizing motor controller based on the detection information when the water in the water tower meets any of the preset alarm conditions, so as to prevent the water in the water tower from flowing out of the outlet pipe and to stop the pressurizing motor.

8. The water tower monitoring system as described in claim 1, wherein, The water tower monitoring system also includes at least one drainage module, which includes a control valve and a drainage pipe. The drainage pipe is connected to the water tower, the control valve is disposed on the drainage pipe, and the control valve is electrically connected to the processing device. The processing device can control the control valve according to the detection information when the water in the water tower meets any of the preset alarm conditions, so that the water in the water tower is discharged out through the drainage pipe.

9. The water tower monitoring system as described in claim 1, wherein, One of the detectors is a water level detector, which is used to detect the water level in the water tower; the processing device can send a water level anomaly information to the remote device when the water level meets a preset abnormal water level state or a leakage state, based on the detection information generated by the water level detector.

10. The water tower monitoring system as described in claim 1, wherein, The water tower monitoring system includes the remote device, which includes an AI computing unit. The AI ​​computing unit is used to execute a water quality trend prediction model, which generates water quality trend information based on multiple pieces of the detected information.