CN213545079U - Intelligent multi-parameter monitoring intelligent pipe network - Google Patents
Intelligent multi-parameter monitoring intelligent pipe network Download PDFInfo
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- CN213545079U CN213545079U CN202120038014.8U CN202120038014U CN213545079U CN 213545079 U CN213545079 U CN 213545079U CN 202120038014 U CN202120038014 U CN 202120038014U CN 213545079 U CN213545079 U CN 213545079U
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Abstract
The utility model provides a multi-parameter intelligent monitoring intelligent pipe network, the measurement and control unit comprises a data preprocessing module, an abnormal data judging module and a control module; the pressure value, the water quality value, the water level value and the water flow value output by the data preprocessing module are used as the input of an abnormal data judgment module, and a convolutional neural network model is adopted to carry out abnormal judgment to obtain a judgment result; the control module controls the sampling frequency of the data acquisition unit, and when the abnormal data judgment module judges that the result is abnormal, the control module improves the sampling frequency. According to the invention, multiple sensors are used for collecting multiple parameters, and an artificial intelligence model is adopted for carrying out abnormity judgment, so that the accuracy of water quality abnormity detection is improved; and the sampling frequency is adjusted according to the abnormity judgment result, so that the abnormity judgment accuracy is further improved.
Description
Technical Field
The utility model relates to a wisdom pipe network field, concretely relates to multi-parameter intelligent monitoring's wisdom pipe network.
Background
The existing urban water supply network is buried underground deeply, has the problems of serious aging, frequent tube explosion, high water supply energy consumption and the like, and influences the service and management level of a water supply system to a certain extent. Therefore, a set of information, intelligent and networked monitoring system based on the Internet of things needs to be built urgently, the water quality of the pipe network and the water supply condition are effectively supervised, the normal water supply capacity and the water supply quality are ensured, and the occurrence of accidents of water quality pollution is reduced.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that to the not enough among the above-mentioned prior art, provide a multi-parameter intelligent monitoring's wisdom pipe network, the technical scheme of adoption is: the method comprises the following steps: the system comprises a data acquisition unit, a measurement and control unit, a communication unit, a display unit and a power supply unit; the measurement and control unit and the data acquisition unit realize data transmission through the communication unit; the measurement and control unit is respectively connected with the display unit and the power supply unit;
the data acquisition unit comprises a pressure transmitter, a water quality meter, a water level information collector and a water flow meter;
the measurement and control unit comprises a data preprocessing module, an abnormal data judging module and a control module; the data preprocessing module is used for carrying out filtering amplification and digital-to-analog conversion on the received acquired signals to obtain digital signals, and processing the digital signals to obtain data in a standard data format, wherein the data type comprises a pressure value, a water quality value, a water level value and a water flow value; the pressure value, the water quality value, the water level value and the water flow value output by the data preprocessing module are used as the input of an abnormal data judgment module, and a convolutional neural network model is adopted to carry out abnormal judgment to obtain a judgment result; the control module controls the sampling frequency of the data acquisition unit, and when the abnormal data judgment module judges that the result is abnormal, the control module increases the sampling frequency;
the communication unit adopts a GPS module to transmit the acquired signal to the measurement and control unit through a wireless communication network;
the display and operation unit can display the acquired data and the judgment result.
Further, the display and operation unit may modify the sampling frequency, sleep period.
The utility model has the advantages that:
a plurality of sensors are used for collecting various parameters, and an artificial intelligence model is adopted for carrying out abnormity judgment, so that the accuracy of water quality abnormity detection is improved; and the sampling frequency is adjusted according to the abnormity judgment result, so that the abnormity judgment accuracy is further improved.
Drawings
Fig. 1 is a schematic block diagram of the structure of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Referring to fig. 1, this embodiment provides a multi-parameter intelligent monitoring intelligent pipe network, and the technical scheme adopted is as follows: the method comprises the following steps: the system comprises a data acquisition unit, a measurement and control unit, a communication unit, a display unit and a power supply unit; the measurement and control unit and the data acquisition unit realize data transmission through the communication unit; the measurement and control unit is respectively connected with the display unit and the power supply unit;
the data acquisition unit comprises a pressure transmitter, a water quality meter, a water level information collector and a water flow meter;
the measurement and control unit comprises a data preprocessing module, an abnormal data judging module and a control module; the data preprocessing module is used for carrying out filtering amplification and digital-to-analog conversion on the received acquired signals to obtain digital signals, and processing the digital signals to obtain data in a standard data format, wherein the data type comprises a pressure value, a water quality value, a water level value and a water flow value; the pressure value, the water quality value, the water level value and the water flow value output by the data preprocessing module are used as the input of an abnormal data judgment module, and a convolutional neural network model is adopted to carry out abnormal judgment to obtain a judgment result; the control module controls the sampling frequency of the data acquisition unit, and when the abnormal data judgment module judges that the result is abnormal, the control module increases the sampling frequency;
the communication unit adopts a GPS module to transmit the acquired signal to the measurement and control unit through a wireless communication network;
the display and operation unit can display the acquired data and the judgment result, and can also modify the sampling frequency and the sleep cycle.
The power supply unit supports a commercial power supply module; the mains supply can meet the requirements of frequent data acquisition and real-time data reporting.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. The utility model provides a multi-parameter intelligent monitoring's wisdom pipe network which characterized in that includes: the system comprises a data acquisition unit, a measurement and control unit, a communication unit, a display unit and a power supply unit;
the measurement and control unit and the data acquisition unit realize data transmission through the communication unit;
the measurement and control unit is respectively connected with the display unit and the power supply unit; the data acquisition unit comprises a pressure transmitter, a water quality meter, a water level information collector and a water flow meter; the measurement and control unit comprises a data preprocessing module, an abnormal data judging module and a control module;
the data preprocessing module is used for carrying out filtering amplification and digital-to-analog conversion on the received acquired signals to obtain digital signals, and processing the digital signals to obtain data in a standard data format, wherein the data type comprises a pressure value, a water quality value, a water level value and a water flow value;
the pressure value, the water quality value, the water level value and the water flow value output by the data preprocessing module are used as the input of an abnormal data judgment module, and a convolutional neural network model is adopted to carry out abnormal judgment to obtain a judgment result;
the control module controls the sampling frequency of the data acquisition unit, and when the abnormal data judgment module judges that the result is abnormal, the control module increases the sampling frequency;
the communication unit adopts a GPS module to transmit the acquired signal to the measurement and control unit through a wireless communication network; the display and operation unit can display the acquired data and the judgment result.
2. The intelligent pipe network with multi-parameter intelligent monitoring as claimed in claim 1, wherein the display and operation unit can modify the sampling frequency and the sleep cycle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120038014.8U CN213545079U (en) | 2021-01-08 | 2021-01-08 | Intelligent multi-parameter monitoring intelligent pipe network |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202120038014.8U CN213545079U (en) | 2021-01-08 | 2021-01-08 | Intelligent multi-parameter monitoring intelligent pipe network |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114039745A (en) * | 2021-10-08 | 2022-02-11 | 中移（杭州）信息技术有限公司 | Method, device and medium for identifying abnormal flow of website |
| CN115060335A (en) * | 2022-01-19 | 2022-09-16 | 上海升川软件开发有限公司 | Anti-electromagnetic interference system and method for ultrasonic gas meter |
| CN115159284A (en) * | 2022-06-17 | 2022-10-11 | 杭州本系机电工程有限公司 | Short-circuit system and control method |
| CN114039745B (en) * | 2021-10-08 | 2024-06-04 | 中移（杭州）信息技术有限公司 | Method, equipment and medium for identifying abnormal traffic of website |
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2021
- 2021-01-08 CN CN202120038014.8U patent/CN213545079U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114039745A (en) * | 2021-10-08 | 2022-02-11 | 中移（杭州）信息技术有限公司 | Method, device and medium for identifying abnormal flow of website |
| CN114039745B (en) * | 2021-10-08 | 2024-06-04 | 中移（杭州）信息技术有限公司 | Method, equipment and medium for identifying abnormal traffic of website |
| CN115060335A (en) * | 2022-01-19 | 2022-09-16 | 上海升川软件开发有限公司 | Anti-electromagnetic interference system and method for ultrasonic gas meter |
| CN115159284A (en) * | 2022-06-17 | 2022-10-11 | 杭州本系机电工程有限公司 | Short-circuit system and control method |
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