CN211018866U - Gas pipe network monitoring system based on big data - Google Patents
Gas pipe network monitoring system based on big data Download PDFInfo
- Publication number
- CN211018866U CN211018866U CN201922211628.7U CN201922211628U CN211018866U CN 211018866 U CN211018866 U CN 211018866U CN 201922211628 U CN201922211628 U CN 201922211628U CN 211018866 U CN211018866 U CN 211018866U
- Authority
- CN
- China
- Prior art keywords
- big data
- module
- unit
- pipe network
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The utility model relates to a gas pipe network monitoring system based on big data, including gas data acquisition and washing terminal, peak load shifting distributed communication terminal and big data processing center, big data processing center connects a plurality of peak load shifting distributed communication terminals, and a peak load shifting distributed communication terminal is connected with a plurality of gas data acquisition and washing terminals; the big data processing center comprises a big data processing unit, a big data receiving unit, a big data compression unit, a big data storage unit and a model training unit; the big data receiving unit, the big data compression unit and the model training unit are electrically connected with the big data processing unit, and the big data compression unit is electrically connected with the big data storage unit; the model training unit can utilize the data after the analysis and processing of the big data processing unit to train a big data model, and the model can intelligently adjust the mode selection of the peak-shifting access module. The utility model discloses can carry out real time monitoring and intelligent management to gas pipe network running state.
Description
Technical Field
The utility model belongs to the technical field of the gas pipe network information ization, especially, relate to a gas pipe network monitoring system based on big data.
Background
With the continuous acceleration of urban construction pace and the increasing expansion of urban scale, the rapid development of town gas business and the increasingly complex management work of gas facilities, a gas pipe network becomes one of important infrastructures for economic development and is related to the daily life of people. Because the gas pipe network monitoring points are numerous and extremely wide in distribution, the collected data are large in quantity, difficult to process and poor in monitoring effect, operation data such as pipe network pressure, pipe network flow and accumulated water height in a gate well need to be mastered in real time; and the big data technology is adopted, so that extensive data monitoring and intelligent analysis and decision can be realized, the overall operation condition of the urban gas pipe network can be mastered in time, and the safe operation of the urban gas pipe network is improved.
Therefore, based on the problems, the intelligent gas pipe network monitoring system based on the big data for monitoring and intelligently managing the operation state of the gas pipe network in real time has important practical significance.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to overcome prior art's is not enough, provide a gas pipe network monitoring system based on big data that carries out real time monitoring and intelligent management to gas pipe network running state.
The utility model provides a its technical problem take following technical scheme to realize:
a gas pipe network monitoring system based on big data comprises a gas data acquisition and cleaning terminal, peak staggering distributed communication terminals and a big data processing center, wherein the big data processing center is connected with a plurality of peak staggering distributed communication terminals; the peak-shifting distributed communication terminal transmits the data acquired by the gas data acquisition and cleaning terminal to the big data processing center, and the big data processing center is used for processing, analyzing and training the acquired gas pipe network data to realize real-time monitoring of the gas pipe network;
the big data processing center comprises a big data processing unit, a big data receiving unit, a big data compression unit, a big data storage unit and a model training unit; the big data receiving unit, the big data compression unit and the model training unit are electrically connected with the big data processing unit, and the big data compression unit is electrically connected with the big data storage unit; the big data receiving unit transmits the received data to the big data processing unit, the big data compression unit can compress the data analyzed and processed by the big data processing unit and transmit the compressed data to the big data storage unit, the model training unit can train a big data model by using the data analyzed and processed by the big data processing unit, and the model can intelligently adjust the mode selection of the off-peak access module.
Furthermore, the gas data acquisition and cleaning terminal comprises a sensor module, a data cleaning module, a first processor module, a first power supply module, a first communication module and a positioning module, wherein the sensor module is electrically connected with an amplifier, the amplifier is electrically connected with an A/D (analog/digital) converter, the A/D converter is electrically connected with the data cleaning module, the first power supply module and the first communication module are respectively electrically connected with the first processor module, and the positioning module is electrically connected with the first communication module.
Further, the sensor module includes a pressure sensor, a water level sensor, and a gas sensor.
Furthermore, the peak shifting distributed communication terminal comprises a second communication module, a peak shifting access module, a second processor module, a second power supply module and a transmission module, wherein the second communication module is electrically connected with the peak shifting access module; the peak staggering access module, the second power supply module and the transmission module are respectively electrically connected with the second processor module; the second communication module is in wireless connection with the first communication module of the gas data acquisition and cleaning terminal, and wireless data transmission is achieved.
Further, the transmission module is a 2G module or a 5G module based on NB-IoT terminals.
Furthermore, the big data receiving unit comprises a baseband processing module and a radio frequency processing module, and is connected with the transmission module of the peak-shifting distributed communication terminal through the radio frequency processing module to realize data transmission.
The utility model has the advantages that:
1. the utility model discloses based on big data processing technique, gather, unified analysis handles and model training with the data that numerous gas pipe network data acquisition and cleaning terminal gathered, can carry out data analysis and utilize, improve the monitoring ability to the gas pipe network, it is intelligent convenient, use manpower sparingly; the monitoring personnel can conveniently master the whole operation condition of the urban gas pipe network in time, and the safe operation management level of the urban gas pipe network is improved;
2. the utility model discloses utilize peak shifting access algorithm to carry out the peak shifting transmission of data, can solve and surpass network side capacity when the concurrent access volume at terminal, the noise promotes at the bottom of the communication environment, inserts the condition that the environment worsened.
Drawings
The technical solution of the present invention will be described in further detail with reference to the accompanying drawings and examples, but it should be understood that these drawings are designed for illustrative purposes only and thus are not intended to limit the scope of the present invention. Furthermore, unless otherwise indicated, the drawings are intended to be illustrative of the structural configurations described herein and are not necessarily drawn to scale.
Fig. 1 is a system structure diagram of a gas pipe network monitoring system based on big data provided by the embodiment of the present invention;
fig. 2 is a connection structure diagram of a gas data acquisition and cleaning terminal of a gas pipe network monitoring system based on big data provided by the embodiment of the utility model;
fig. 3 is a connection structure diagram of peak shifting distributed communication terminals of the gas pipe network monitoring system based on big data provided by the embodiment of the present invention;
fig. 4 is a connection structure diagram of a big data processing center of a gas pipe network monitoring system based on big data provided by the embodiment of the utility model;
fig. 5 is a coverage diagram of the peak load shifting distributed communication terminal of the gas pipe network monitoring system based on big data provided by the embodiment of the present invention;
Detailed Description
First, it should be noted that the specific structures, features, advantages, etc. of the present invention will be described in detail below by way of example, but all the descriptions are only for illustrative purpose and should not be construed as forming any limitation to the present invention. Furthermore, any single feature described or implicit in any embodiment or any single feature shown or implicit in any drawing may still be combined or subtracted between any of the features (or equivalents thereof) to obtain still further embodiments of the invention that may not be directly mentioned herein. In addition, for the sake of simplicity, the same or similar features may be indicated in only one place in the same drawing.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The present invention will be described in detail with reference to fig. 1 to 5.
As shown in fig. 1 to 5, the gas pipe network monitoring system based on big data provided in this embodiment includes, as shown in fig. 1, a big data processing center 1 for performing data analysis and model training module, peak-shifting distributed communication terminals 2 for performing data transmission, and gas data acquisition and cleaning terminals 3 distributed at each gas pipe network monitoring point of an urban pipe network, where each peak-shifting distributed communication terminal 2 is connected with a plurality of gas data acquisition and cleaning terminals 3, and the big data processing center 1 is connected with a plurality of peak-shifting distributed communication terminals 2; one big data processing center 1 is connected with X peak shifting distributed communication terminals 2, in the embodiment, the peak shifting distributed communication terminals 2 are connected with all Y fuel gas data acquisition and cleaning terminals 3 in the regular hexagonal coverage area, wherein X, Y are all natural numbers.
As shown in fig. 2, the gas data acquisition and cleaning terminal 3 includes a sensor module 4, a data cleaning module 5, a first processor module 6, a first power supply module 7, a first communication module 8 and a positioning module 9, the data cleaning module 5, the first power supply module 7, the first communication module 8 and the positioning module 9 are respectively electrically connected to the first processor module 6, the first power supply module 7 is used as a power supply of the first processor module 6 for supplying power, and the first communication module can adopt an existing wireless radio frequency transceiver module in the market and is used for transmitting gas pipe network monitoring data to the peak-staggering distributed communication terminal 2; the sensor module includes a pressure sensor, a water level sensor, and a gas sensor.
As shown in fig. 2, the gas data collecting and cleaning terminal 3 further includes an amplifier 10 and an a/D converter 11, the sensor module 4 is electrically connected to the amplifier 10, the amplifier 10 is electrically connected to the a/D converter 11, the a/D converter 11 is electrically connected to the data cleaning module 5, the gas pipe network data collected by the sensor module 4 is amplified by the amplifier 10, the a/D converter 11 converts an analog signal into a digital signal, and then transmits the digital signal to the data cleaning module 5 for cleaning and filtering of the data, the cleaned data is transmitted to the first processor module 6, and the first processor module 6 performs analysis processing on the data and then encapsulates the data into a message load in a standard data format; the positioning module 9 processes longitude and latitude information and coordinate data into a standard data format in real time through the first processor module 6, can provide data support for a GIS system, then carries out secondary packaging on a load through the first communication module 8, and transmits the data modulated format to a peak-shifting distributed communication terminal through the first communication module.
As shown in fig. 3, the peak shifting distributed communication terminal includes a second communication module 12, a peak shifting access module 13, a second processor module 14, a second power supply module 15 and a transmission module 16, wherein the second communication module 12 is electrically connected with the peak shifting access module 13; the peak staggering access module 13, the second power supply module 15 and the transmission module 16 are electrically connected with the second processor module 14 respectively; the second communication module 12 is wirelessly connected with the first communication module 8 of the gas data acquisition and cleaning terminal 3 to realize wireless data transmission; the second communication module 12 of this embodiment may adopt an existing wireless radio frequency transceiver module on the market, including a radio frequency transceiver module and an antenna terminal, the second communication module 12 receives a modulation signal transmitted by the first communication module 8 of the gas data acquisition and cleaning terminal 3, converts the signal into a baseband signal after demodulation and transmits the baseband signal to the peak staggering access module 13, the data is peak staggering transmitted to the second processor module 14 through a peak staggering algorithm, the second processor module 14 processes the acquired gas pipe network data and transmits the data to the transmission module 16, and the transmission module 16 transmits the data to the background big data processing center 1 by using a wireless network or a limited optical fiber network.
It is possible to consider: the transmission module 16 adopts a 2G module or a 5G module based on an NB-IoT terminal; the transmission module of this embodiment is the 5G module, and second processor module 14 transmits the data after handling for big data processing center 1 through the 5G module, and big data processing center 1 carries out data analysis and the real-time supervision of pipe network to all gas official business networking data that pass into.
As shown in fig. 4, the big data processing center 1 includes a big data processing unit 17, a big data receiving unit 18, a big data compressing unit 19, a big data storage unit 20, and a model training unit 21, the big data receiving unit 18, the big data compressing unit 19, and the model training unit 21 are electrically connected to the big data processing unit 17, and the big data compressing unit 19 is electrically connected to the big data storage unit 20; the big data receiving unit 18 transmits the received data to the big data processing unit 17, the big data compressing unit 19 can compress the data analyzed and processed by the big data processing unit 17 and transmit the compressed data to the big data storage unit 20, the model training unit 21 can train a big data model by using the data analyzed and processed by the big data processing unit 17, and the model can intelligently adjust the mode selection of the off-peak access module.
The model training unit 21 of this embodiment trains and optimizes the model by using a random forest algorithm.
The big data receiving unit 18 is connected with the transmission module 16 of the peak-shifting distributed communication terminal 2 through a remote communication module (not shown) to realize data receiving.
As shown in fig. 5, which is a coverage diagram of a peak shifting distributed communication terminal, a coverage area of a peak shifting distributed communication terminal is a regular hexagon, and a side length of the regular hexagon is an optimal distance for 5G signal transmission.
In this embodiment, the gas data acquisition and cleaning terminal is used as a tip of the gas pipe network data acquisition, see the coverage map of the peak-shifting distributed communication terminal in fig. 5, one peak-shifting distributed communication terminal transmits and gathers all the data transmitted by the gas data acquisition and cleaning terminal in the coverage area to the big data processing center, the big data processing center performs data analysis and model training, and the multi-directional monitoring of the gas pipe network is realized based on the big data processing technology.
The above embodiments are described in detail, but the above description is only for the preferred embodiments of the present invention, and should not be construed as limiting the scope of the present invention. All the equivalent changes and improvements made according to the application scope of the present invention should still fall within the patent coverage of the present invention.
Claims (5)
1. The utility model provides a gas pipe network monitoring system based on big data which characterized in that: the large data processing center is connected with a plurality of peak-shifting distributed communication terminals, and one peak-shifting distributed communication terminal is connected with a plurality of gas data acquisition and cleaning terminals; the peak-shifting distributed communication terminal transmits the data acquired by the gas data acquisition and cleaning terminal to the big data processing center, and the big data processing center is used for processing, analyzing and training the acquired gas pipe network data to realize real-time monitoring of the gas pipe network;
the big data processing center comprises a big data processing unit, a big data receiving unit, a big data compression unit, a big data storage unit and a model training unit; the big data receiving unit, the big data compression unit and the model training unit are electrically connected with the big data processing unit, and the big data compression unit is electrically connected with the big data storage unit; the big data receiving unit transmits the received data to the big data processing unit, the big data compression unit can compress the data analyzed and processed by the big data processing unit and transmit the compressed data to the big data storage unit, the model training unit can train a big data model by using the data analyzed and processed by the big data processing unit, and the model can intelligently adjust the mode selection of the off-peak access module.
2. The intelligent gas pipe network monitoring system based on big data according to claim 1, characterized in that: the gas data acquisition and cleaning terminal comprises a sensor module, a data cleaning module, a first processor module, a first power supply module, a first communication module and a positioning module, wherein the sensor module is electrically connected with an amplifier, the amplifier is electrically connected with an A/D (analog/digital) converter, the A/D converter is electrically connected with the data cleaning module, the first power supply module and the first communication module are respectively electrically connected with the first processor module, and the positioning module is electrically connected with the first communication module.
3. The intelligent gas pipe network monitoring system based on big data according to claim 2, characterized in that: the sensor module includes a pressure sensor, a water level sensor, and a gas sensor.
4. The intelligent gas pipe network monitoring system based on big data according to claim 1, characterized in that: the peak shifting distributed communication terminal comprises a second communication module, a peak shifting access module, a second processor module, a second power supply module and a transmission module, wherein the second communication module is electrically connected with the peak shifting access module; the peak staggering access module, the second power supply module and the transmission module are respectively electrically connected with the second processor module; the second communication module is in wireless connection with the first communication module of the gas data acquisition and cleaning terminal, and wireless data transmission is achieved.
5. The intelligent gas pipe network monitoring system based on big data according to claim 4, characterized in that: the transmission module is a 2G module or a 5G module based on an NB-IoT terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922211628.7U CN211018866U (en) | 2019-12-11 | 2019-12-11 | Gas pipe network monitoring system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922211628.7U CN211018866U (en) | 2019-12-11 | 2019-12-11 | Gas pipe network monitoring system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN211018866U true CN211018866U (en) | 2020-07-14 |
Family
ID=71474568
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201922211628.7U Active CN211018866U (en) | 2019-12-11 | 2019-12-11 | Gas pipe network monitoring system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN211018866U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113641118A (en) * | 2021-06-28 | 2021-11-12 | 朱磊 | Intrinsic safety type high-precision data acquisition terminal for gas pipe network and internet of things |
-
2019
- 2019-12-11 CN CN201922211628.7U patent/CN211018866U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113641118A (en) * | 2021-06-28 | 2021-11-12 | 朱磊 | Intrinsic safety type high-precision data acquisition terminal for gas pipe network and internet of things |
| CN113641118B (en) * | 2021-06-28 | 2024-04-26 | 上海叁零肆零科技有限公司 | Intrinsic safety type gas pipe network internet-of-things high-precision data acquisition terminal |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201955884U (en) | Multi-parameter water quality monitoring wireless sensor | |
| CN106373356A (en) | Big data technology-based sewage pipe network monitoring system | |
| CN201937603U (en) | Electricity information acquisition system and concentrator | |
| CN211018866U (en) | Gas pipe network monitoring system based on big data | |
| CN106990217A (en) | sewage monitoring system based on wireless sensor network | |
| CN101744606A (en) | Basic human body physiological data remote detecting system and method thereof | |
| CN106370289A (en) | WiFi-based noise monitoring system | |
| CN103892823A (en) | Dynamic electrocardiograph monitoring system based on internet of things | |
| CN209878127U (en) | Urban environmental noise monitoring device based on wireless sensor network | |
| CN207752324U (en) | A kind of long range Agricultural Information acquisition gateway system based on LoRa | |
| CN206478455U (en) | A kind of gas ductwork monitoring system based on big data | |
| CN207852074U (en) | A kind of automatic data logging harvester | |
| CN208172993U (en) | A kind of building construction process monitoring system based on LoRa | |
| CN204856862U (en) | Wireless monitoring devices based on GSM SMS | |
| CN201035723Y (en) | Remote intelligent meter reading system | |
| CN111325961A (en) | Wireless data transmission equipment based on NB-IOT water gauge | |
| CN208509281U (en) | A kind of wireless sensing system based on the radio station NB-LoT and VHF | |
| CN205486755U (en) | Electricity force information gather and management platform | |
| CN203134098U (en) | Wireless low-power consumption temperature and humidity acquirer | |
| CN206421193U (en) | A kind of Environment of Reservoirs amount monitoring system | |
| CN206058499U (en) | The digital-to-analog amount acquisition control device that a kind of GPRS is wirelessly transferred | |
| CN202102441U (en) | Remote intelligent management system for medical centralized gas supply system | |
| CN216290330U (en) | Fault diagnosis and analysis system based on big data of power grid secondary equipment | |
| CN211555103U (en) | Device for wireless data acquisition and reception | |
| CN111289850A (en) | Partial discharge acquisition system based on LoRa technology and communication method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |