CN220603730U

CN220603730U - Monitoring data preprocessing system

Info

Publication number: CN220603730U
Application number: CN202321981287.1U
Authority: CN
Inventors: 刘玉霜; 解书凯; 彭娟; 勾越; 李川; 何晶晶; 吴洪; 杨茜; 向俊成; 徐国超; 何柬柯; 秦久康
Original assignee: Mianyang Polytechnic
Current assignee: Mianyang Polytechnic
Priority date: 2023-07-26
Filing date: 2023-07-26
Publication date: 2024-03-15
Anticipated expiration: 2033-07-26

Abstract

The utility model discloses a monitoring data preprocessing system, which comprises a server and a plurality of preprocessing controllers, wherein the preprocessing controllers are connected with a storage module, a communication module and a monitoring sensor; the monitoring sensor acquires rainfall data of the underground pipe network and uploads the rainfall data to the preprocessing controller; the preprocessing controller preprocesses the rainfall data uploaded by the monitoring sensor and generates early warning information, and the preprocessed data and the early warning information are uploaded to the server through the communication module; the server distributes and displays the obtained data and the early warning data through the terminal display screen. And the set preprocessing controller is utilized, and the acquired rainfall monitoring data is preprocessed by the built-in algorithm model and then uploaded to the server, so that the server does not need to process front-end data, the cloud computing flow in the server is removed, the pressure of the server is reduced, the server only distributes and displays the acquired data, and the response speed of the server is improved.

Description

Monitoring data preprocessing system

Technical Field

The utility model relates to the technical field of intelligent control, in particular to a monitoring data preprocessing system.

Background

In a rainfall and underground drainage pipe network data acquisition system, the system relies on wireless rainfall to measure base points and record rainfall data, and reports the rainfall data to a server, the server processes the reported rainfall data according to weather bureau early warning standards to obtain early warning information, and distributes and displays the early warning information.

Disclosure of Invention

The utility model aims to provide a monitoring data preprocessing system which is used for preprocessing rainfall data by performing edge calculation at the front end, reducing the cloud computing flow of a server, reducing the pressure of the server and improving the response speed of the server.

The aim of the utility model is achieved by the following technical scheme:

the monitoring data preprocessing system comprises a server and a plurality of preprocessing controllers, wherein the preprocessing controllers are connected with a storage module, a communication module and a monitoring sensor;

the monitoring sensor acquires rainfall data of the underground pipe network and uploads the rainfall data to the preprocessing controller;

the preprocessing controller preprocesses the rainfall data uploaded by the monitoring sensor and generates early warning information, and the preprocessed data and the early warning information are uploaded to the server through the communication module;

and the server distributes and displays the obtained data and the early warning data through the terminal display screen.

Further, the communication module comprises a lora communication module and an nb-iot communication module, wherein the nb-iot communication module is used for uploading the data and the early warning information processed by the preprocessing controller to a server.

Further, data interaction is performed between adjacent preprocessing controllers through the lora communication module.

Further, the monitoring sensor comprises a plurality of rain sensors, flow sensors and liquid level sensors.

The utility model has the following advantages:

and the set preprocessing controller is utilized, and the acquired rainfall monitoring data is preprocessed by the built-in algorithm model and then uploaded to the server, so that the server does not need to process front-end data, the cloud computing flow in the server is removed, the pressure of the server is reduced, the server only distributes and displays the acquired data, and the response speed of the server is improved.

Drawings

Fig. 1 is a schematic structural view of the present utility model.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present utility model more apparent, the technical solutions of the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model, and it is apparent that the described embodiments are some embodiments of the present utility model, but not all embodiments. The components of the embodiments of the present utility model generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.

Thus, the following detailed description of the embodiments of the utility model, as presented in the figures, is not intended to limit the scope of the utility model, as claimed, but is merely representative of selected embodiments of the utility model. All other embodiments, based on the embodiments of the utility model, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the utility model.

In addition, the embodiments of the present utility model and the features of the embodiments may be combined with each other without collision.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.

In the description of the present utility model, it should be noted that, directions or positional relationships indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., are directions or positional relationships based on those shown in the drawings, or are directions or positional relationships conventionally put in use of the inventive product, or are directions or positional relationships conventionally understood by those skilled in the art, are merely for convenience of describing the present utility model and for simplifying the description, and are not to indicate or imply that the apparatus or element to be referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present utility model. Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.

In the description of the present utility model, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art.

Referring to fig. 1, one embodiment of the present utility model is:

the monitoring sensor comprises a plurality of rainfall sensors, flow sensors and liquid level sensors which are connected with the pretreatment controller, and rainfall data of the underground pipe network are obtained through the sensors distributed in the underground pipe network and are uploaded to the pretreatment controller;

the preprocessing module stores the obtained original rainfall data into a connected storage module, an algorithm model is built in the preprocessing module, and the algorithm model performs early warning according to an early warning standard (blue early warning: yellow warning that the rainfall will be more than 50 mm within 6 hours, or more than 50 mm and the rainfall may be sustained, orange warning that the rainfall will be more than 50 mm within 3 hours, or more than 50 mm and the rainfall may be sustained, red warning that the rainfall will be more than 100 mm within 3 hours, or more than 100 mm and the rainfall may be sustained).

The preprocessing controller transfers the rainfall data uploaded by the monitoring sensor to the storage module, and after reaching a preset time, the rainfall data stored in the storage module is called to preprocess the rainfall data according to the algorithm model and generate early warning information, and the preprocessed data and the early warning information are uploaded to the server through the communication module;

Specifically, the communication module comprises a lora communication module and an nb-iot communication module, wherein the nb-iot communication module is used for uploading the data and the early warning information processed by the preprocessing controller to a server.

The lora communication module is connected to the pretreatment controller and used for waking up the adjacent pretreatment controller during rainfall, so that the rainfall monitoring range is enlarged, rainfall information is calibrated, and the accuracy of a monitoring structure is improved.

The arrangement of the lora communication module is also used for quickly positioning adjacent to the preprocessing module so as to be beneficial to quickly determining equipment fault points in an underground pipe network and reducing the fault removal time.

The method comprises the steps that a preset preprocessing controller is utilized, an algorithm model is built in the preprocessing controller to preprocess acquired rainfall monitoring data, and then the acquired rainfall monitoring data is uploaded to a server, so that the server does not need to process front-end data, the cloud computing flow in the server is removed, the pressure of the server is reduced, the server only distributes and displays the acquired data, and the response speed of the server is improved; and the adjacent pretreatment controller is awakened by the lora communication module, so that the rainfall monitoring range is enlarged, and the rainfall monitoring accuracy is improved.

Although the present utility model has been described with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements and changes may be made without departing from the spirit and principles of the present utility model.

Claims

1. A monitoring data preprocessing system, characterized in that: the system comprises a server and a plurality of preprocessing controllers, wherein the preprocessing controllers are connected with a storage module, a communication module and a monitoring sensor;

the monitoring sensor acquires rainfall data of the underground pipe network and uploads the rainfall data to the preprocessing controller; the preprocessing controller preprocesses the rainfall data uploaded by the monitoring sensor and generates early warning information, and the preprocessed data and the early warning information are uploaded to the server through the communication module;

2. A monitored data preprocessing system as claimed in claim 1, wherein: the communication module comprises a lora communication module and an nb-iot communication module, and the nb-iot communication module is used for uploading the data and the early warning information processed by the preprocessing controller to a server.

3. A monitoring data preprocessing system according to claim 2, characterized in that: and carrying out data interaction between adjacent pretreatment controllers through the lora communication module.

4. A monitored data preprocessing system as claimed in claim 1, wherein: the monitoring sensor comprises a plurality of rainfall sensors, a flow sensor and a liquid level sensor.