Internet of Things water saving system based on AI big data and machine audition and vision

Abstract

The invention provides an Internet of Things water-saving system based on AI big data and machine audition and vision, and relates to the technical field of water-saving management, the Internet of Things water-saving system is characterized by comprising a remote control terminal, monitoring systems and a big data processing system, the remote control terminal can monitor and control each monitoring system through a line or a wireless signal, and the big data processing system is connected with the remote control terminal; the monitoring system comprises water consumption monitoring and information identification monitoring, the water consumption monitoring comprises pipeline flow monitoring and water consumption equipment monitoring, and the pipeline flow monitoring is convenient for quickly inquiring water leakage; the water utilization equipment monitoring comprises water outlet position video monitoring, the water outlet position video monitoring mainly aims at video and audio monitoring of water outlet nodes, and the big data processing system can confirm the actual use flow and position of water by combining a numerical value obtained through pipeline flow monitoring and water outlet equipment in a video image. Therefore, the water outlet position and the actual problem can be conveniently and quickly positioned. The system has the advantages that the water consumption monitoring precision is high, and regulation and control management can be conveniently and quickly carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of water-saving management, and in particular to an Internet of Things water-saving system based on AI big data and machine audio and vision. Background Art

[0002] In areas where water is used a lot, such as parks, office buildings or factories, the use and management of water resources is directly related to the overall water use scheduling, environment and economic development of the region. Water-saving management can effectively save water resources, reduce production and living costs, and also reduce damage to the environment. The current relevant water-saving technologies mainly analyze information on water use times and water flow. The measurement accuracy is low, and specific problems cannot be discovered. At the same time, it is also impossible to regulate and manage in the first time, which can easily lead to a lot of waste. Summary of the invention

[0003] The purpose of the present invention is to provide an Internet of Things water-saving system based on AI big data and machine audio and vision, which solves the technical problems of poor water use monitoring accuracy and inability to carry out timely regulation and management in the prior art, and realizes high-precision monitoring of water use and can achieve the technical effect of timely regulation and management.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] An Internet of Things water-saving system based on AI big data and machine audio-visual technology comprises a remote control terminal, a monitoring system and a big data processing system. The remote control terminal can monitor and control each monitoring system through lines or wireless signals. The monitoring system comprises water use monitoring and information identification monitoring. The water use monitoring comprises pipeline flow monitoring and water use equipment monitoring. The pipeline flow monitoring records the water flow in the pipeline by installing a flow counting device, and transmits the relevant information back to the big data processing system, thereby recording each water use section, which is convenient for rapid inquiry of water leakage; the water use equipment monitoring comprises water outlet position video monitoring, and the water outlet position video monitoring mainly performs video and audio monitoring on the water outlet node, and feeds back the water outlet to the big data processing system by cooperating with AI picture recognition technology. The big data processing system will confirm the actual water usage flow and position of the water outlet equipment in combination with the numerical value obtained by pipeline flow monitoring and the video image, thereby facilitating rapid positioning of the water outlet position and actual problems.

[0006] As an improvement, the monitoring system also includes a valve remote control system, which includes an information receiving device and an electromagnetic control valve. The remote control system is respectively arranged at the interface between the main pipe section of the measured water outlet section and the water-using equipment, and is used to close the problem node in time to avoid water waste.

[0007] As an improvement, the pipeline flow monitoring also includes a pipeline abnormal sound and vibration monitoring module. The pipeline abnormal sound and vibration monitoring module can monitor the pipeline status by placing an audio collection device and a vibration sensor in the middle section of the pipeline. The abnormal sound and vibration monitoring module uploads the information to the big data processing system via wireless information transmission or lines.

[0008] As an improvement, the big data processing system will summarize the corresponding water output information and then judge and derive specific water consumption data. The water consumption data will be uploaded to the AI ​​big data processing module, and abnormal data will be identified by combining other time periods with recent water consumption data. After identifying the abnormal data, the AI ​​big data processing module will filter out the corresponding location and specific information recorded in the big data storage module, and analyze the specific causes by combining video monitoring and pipeline abnormal noise and vibration monitoring data.

[0009] As an improvement, if the AI ​​big data processing module identifies that the abnormal data is caused by hardware facilities, the corresponding abnormal data and information on suspected problematic hardware facilities will be packaged and transmitted back to the remote control terminal. If it is identified as a human operation problem, such as the valve is not manually closed, the corresponding abnormal data and water outlet position video information will be transmitted back to the control terminal, and the corresponding valve will be automatically closed.

[0010] The beneficial effects of the present invention are as follows: by setting up pipeline flow monitoring and water use equipment monitoring, monitoring can be carried out at the transportation end and the use end respectively, thereby improving the monitoring accuracy and facilitating and quickly locating the problem location. By cooperating with pipeline abnormal noise and vibration monitoring, the pipeline can be monitored from multiple angles in conjunction with flow monitoring. By setting up video monitoring of the water outlet position, specific operating problems can be directly identified, and valve remote control can be used to close and start the valve, thereby reducing the waste of water resources. By using AI big data processing technology, the corresponding water use data can be monitored in real time, further improving the monitoring efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 This is a block diagram of an Internet of Things water-saving system based on AI big data and machine audio and vision of the present invention. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0013] It should be noted that the terms "first" and "second" in this application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" can explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0014] like Figure 1 As shown, an Internet of Things water-saving system based on AI big data and machine audio-visual includes a remote control terminal, a monitoring system and a big data processing system. The remote control terminal can monitor and control each monitoring system through lines or wireless signals. The monitoring system includes water use monitoring and information identification monitoring. The water use monitoring includes pipeline flow monitoring and water use equipment monitoring. The pipeline flow monitoring records the water flow in the pipeline by installing a flow counting device, and transmits the relevant information back to the big data processing system, so as to record each water use section, which is convenient for quick inquiry of water leakage; the water use equipment monitoring includes water outlet position video monitoring, and the water outlet position video monitoring mainly performs video and audio monitoring on the water outlet node, and feeds the water outlet back to the big data processing system by cooperating with AI picture recognition technology. The big data processing system will combine the numerical value obtained by pipeline flow monitoring with the water outlet equipment in the video image to confirm the actual water use flow and position, so as to facilitate quick positioning of the water outlet position and actual problems. The water outlet position video monitoring can mark the water outlet position by the operator and identify the coarse and fine picture of the water flow.

[0015] The monitoring system also includes a valve remote control system, which includes an information receiving device and an electromagnetic control valve. The remote control system is respectively arranged at the interface between the main section of the measured water outlet section and the water-using equipment, and is used to close the problem node in time to avoid water waste. The pipeline flow monitoring also includes a pipeline abnormal sound and vibration monitoring module. The pipeline abnormal sound and vibration monitoring module can monitor the pipeline status by placing an audio collection device and a vibration sensor in the middle section of the pipeline. The abnormal sound and vibration monitoring module uploads the information to the big data processing system through wireless information transmission or line. The water use monitoring can also be equipped with external environment monitoring equipment. The external environment monitoring equipment includes atmospheric pressure detection, temperature detection, light detection, etc., which is convenient for obtaining external environment information and eliminating the influence of interference factors on the data.

[0016] The big data processing system will summarize the corresponding water output information and then judge and obtain specific water consumption data. The water consumption data will be uploaded to the AI ​​big data processing module, and abnormal data will be identified in combination with other time periods and recent water consumption data. After identifying the abnormal data, the AI ​​big data processing module will filter out the corresponding location and specific information recorded in the big data storage module, and analyze the specific cause in combination with video monitoring and pipeline abnormal noise and vibration monitoring data. If the AI ​​big data processing module identifies that the abnormal data is caused by hardware facilities, the corresponding abnormal data and suspected problem hardware facility information will be packaged and sent back to the remote control terminal. If it is identified as a human operation problem such as the valve is not manually closed, the corresponding abnormal data and water outlet position video information will be sent back to the control terminal, and the corresponding valve will be automatically closed at the same time. After the valve is closed, the video monitoring identifies that others are using it normally, and the valve will be automatically opened to ensure normal use. When a speaker device is added, a voice prompt can be given that the water-using equipment has not been turned off, thereby urging the user to turn off the equipment to achieve a water-saving effect.

[0017] When in use, after the centralized pipeline laying is completed, flow valves and remote control valves are added to the corresponding joint nodes, and then pipeline abnormal noise and vibration monitoring are installed in the middle position. Then, remote control valves are added to the main pipeline at the corresponding water use position, and the video monitoring device is aimed at the water outlet position such as faucets, sprinkler pipes, etc. After testing the information transmission between each device and the data monitoring terminal, it can be put into use.

[0018] When abnormal noise or vibration is detected inside the pipeline, the relevant detection device will upload the relevant abnormal information to the big data processing system. At this time, the big data processing system will retrieve the flow data of the abnormal information pipeline and the specific water consumption data of the water-using equipment connected to it. If the pipeline is abnormal after combining the video information, it will send information to the control terminal to inform the operator to perform manual inspection and maintenance. If it is identified that the water-using equipment is leaking, or the relevant faucet equipment is not closed normally, the remote control valve will be activated to close it, thereby stopping the water supply to the water-using equipment to avoid waste.

[0019] The AI ​​data processing can be combined with the recorded big data to identify the approximate water demand in each time period. When it exceeds a certain amount, the AI ​​data processing module will retrieve the overall water consumption changes and identify special changes in the specific location. After further image recognition and flow monitoring, the abnormal information will be transmitted back to the terminal; if the abnormal data information change range is within the preset range, it can be automatically ignored.

[0020] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. An IoT water-saving system based on AI big data and machine audio and vision, characterized in that: It includes a remote control terminal, a monitoring system and a big data processing system. The remote control terminal can monitor and control each monitoring system through lines or wireless signals. The monitoring system includes water use monitoring and information identification monitoring. The water use monitoring includes pipeline flow monitoring and water use equipment monitoring. The pipeline flow monitoring records the water flow in the pipeline by installing a flow counting device, and transmits the relevant information back to the big data processing system, so as to record each water use section, which is convenient for quick inquiry of water leakage; the water use equipment monitoring includes water outlet position video monitoring. The water outlet position video monitoring mainly performs video and audio monitoring on the water outlet node, and feeds back the water outlet to the big data processing system by cooperating with AI picture recognition technology. The big data processing system will combine the numerical value obtained by pipeline flow monitoring with the water outlet equipment in the video image to confirm the actual water usage flow and position, so as to facilitate quick positioning of the water outlet position and actual problems.

2. According to claim 1, the IoT water-saving system based on AI big data and machine audio-visual is characterized in that: The monitoring system also includes a valve remote control system, which includes an information receiving device and an electromagnetic control valve. The remote control system is respectively arranged at the interface between the main pipe section of the measured water outlet section and the water-using equipment, and is used to close the problem node in time to avoid water waste.

3. According to claim 1, the IoT water-saving system based on AI big data and machine audio-visual is characterized in that: The pipeline flow monitoring also includes a pipeline abnormal sound and vibration monitoring module. The pipeline abnormal sound and vibration monitoring module can monitor the pipeline status by placing an audio collection device and a vibration sensor in the middle section of the pipeline. The abnormal sound and vibration monitoring module uploads the information to the big data processing system via wireless information transmission or lines.

4. The IoT water-saving system based on AI big data and machine audio-visual technology according to claim 3 is characterized in that: The big data processing system summarizes the corresponding water output information and determines and obtains specific water consumption data. The water consumption data will be uploaded to the AI ​​big data processing module, and abnormal data will be identified by combining other time periods with recent water consumption data. After identifying the abnormal data, the AI ​​big data processing module will filter out the corresponding location and specific information recorded in the big data storage module, and analyze the specific causes by combining video monitoring and pipeline abnormal noise and vibration monitoring data.

5. The IoT water-saving system based on AI big data and machine audio-visual technology according to claim 4 is characterized in that: If the AI ​​big data processing module identifies that the abnormal data is caused by hardware facilities, it will package the corresponding abnormal data and the information of the suspected problematic hardware facilities and transmit them back to the remote control terminal. If it is identified as a human operation problem, such as the valve is not manually closed, the corresponding abnormal data and the video information of the water outlet position will be transmitted back to the control terminal, and the corresponding valve will be automatically closed.

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