CN204089885U - Wireless sensing cloud network system under a kind of large data complicated applications environment - Google Patents
Wireless sensing cloud network system under a kind of large data complicated applications environment Download PDFInfo
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- CN204089885U CN204089885U CN201420459784.XU CN201420459784U CN204089885U CN 204089885 U CN204089885 U CN 204089885U CN 201420459784 U CN201420459784 U CN 201420459784U CN 204089885 U CN204089885 U CN 204089885U
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Abstract
Wireless sensing cloud network system under a kind of large data complicated applications environment, belong to information transmission and processing technology field, wireless sensor network, convergence routing node and wireless sensing cloud service subsystem is adopted to connect and compose successively, wireless sensor network is made up of transducer, front end microprocessor, front end wireless transceiver, converge routing node by intermediary wireless transceiver, middle microprocessor and middle WiFi module composition, wireless sensing cloud service subsystem comprises rear end WiFi module and cloud service subsystem.Wireless sensor network is responsible for data acquisition, be sent to convergence routing node again, wireless sensing cloud service subsystem receives data by rear end WiFi module, and data are deposited into MySQL database, intelligent sensing Cloud Server is called, the accurate process of complete paired data and analysis by hardware resource.The utility model effectively can solve wireless sensor network to be existed generating date and the strong shortcoming with not realizing the storage of large data of analysis ability, has expanded popularization and the application further of this technology.
Description
Technical field
The utility model belongs to information transmission and processing technology field, relates to a kind of wireless sensor network system.
Background technology
Along with the development of short-distance wireless communication technology, wireless sensor network is used widely in various fields.But due to the restriction of wireless sensing node in memory space, disposal ability and energy ezpenditure, wireless sensor network can not meet transfer of data under large data complicated applications environment and processing demands in communication stability and large data management, because sensor node self does not possess large memory space and high-performance calculation ability.So current wireless sensor network exists generating date and the strong shortcoming with not realizing the storage of large data of analysis ability, limits popularization and the application further of this technology.
Summary of the invention
The technical problems to be solved in the utility model is to provide wireless sensing cloud network system under a kind of large data complicated applications environment.
The scheme of the utility model technical solution problem adopts wireless sensor network, convergence routing node and wireless sensing cloud service subsystem to connect and compose successively, wireless sensor network is made up of transducer, front end microprocessor, front end wireless transceiver, transducer is connected with SS is corresponding with front end micro processor leg SCLK, SDI, SDO and SS by pin SCLK, SDO, SDI, and pin PE0 with PE1 of front end microprocessor is corresponding with pin UART_TX and UART_RX of front end wireless transceiver to be connected; Converge routing node by intermediary wireless transceiver, middle microprocessor and middle WiFi module composition, pin RF_P and RF_N of front end wireless transceiver and the pin RF_P of intermediary wireless transceiver and RF_N wireless connections, pin UART_TX and UART_RX of intermediary wireless transceiver and pin UART_TX and UART_RX of middle microprocessor is connected respectively, and middle microprocessor is connected by Ethernet interface with middle WiFi module; Wireless sensing cloud service subsystem comprises rear end WiFi module and cloud service subsystem, and rear end WiFi module is connected by Ethernet interface with cloud service subsystem, middle WiFi module and rear end WiFi module interconnected.
Wherein front end microprocessor can be Atmega128, and front end wireless transceiver and intermediary wireless transceiver are CC1180, and middle microprocessor can be OMAP-L138, and middle WiFi module and rear end WiFi module are M600.
Cloud service subsystem software resource comprises three parts altogether: intelligent sensing Cloud Server primary responsibility is towards the management of different application wireless sensor network data and analysis; The storage of MySQL database primary responsibility data message, Web server mainly completes web front end display and man-machine interaction.Intelligent sensing Cloud Server is as data processing and analyze core, and the major function completed has that client-side management, Web are mutual, data dispatch process and other miscellaneous functions; In order to real-time perception controls them without the state of wireless sensor network, intelligent sensing Cloud Server must set up TCP with the wireless sensor network of different application and be connected and carry out real-time bidirectional data transfers; In order to realize the control of Web end to end wireless sensor network, the communication link between Web server and intelligent sensing Cloud Server must be set up, and then forward the request of Web server by intelligent scheduling server.
Wireless sensor network is responsible for data acquisition, wireless sensor node by the data that collect after the microprocessor Atmega128 preliminary treatment of front end, directly data are sent to convergence routing node by the front end wireless transceiver CC1180 based on 6LoWPAN agreement, thus access is based on the Internet of IPv6 agreement.After convergence routing node receives data by intermediary wireless transceiver CC1180, data are sent to middle microprocessor OMAP-L138 by UART, after OMAP-L138 data compression and grouping encapsulation, by middle WiFi module M600, Packet Generation is gone out.Wireless sensing cloud service subsystem receives data by rear end WiFi module M600, and data are deposited into MySQL database, calls intelligent sensing Cloud Server, the accurate process of complete paired data and analysis by hardware resource.
Data are after treatment shown by Web server front end, realize man-machine interaction.
The utility model, by making each node directly be connected into cloud service platform based on the wireless sensor network of 6LoWPAN agreement, without the need to processing data in front end and storing, reduces the energy ezpenditure of wireless sensor network.
The utility model utilizes the IT resource of sensing cloud platform to process related data, improves computational efficiency and the reliability of data, can provide more accurate Data support for user.
The utility model is intercommunication system, and user can propose service request according to demands of individuals to wireless sensing cloud service subsystem, the wireless sensor network that sensing cloud platform is met consumers' demand according to physical application address active activation.
The utility model effectively can solve wireless sensor network to be existed generating date and the strong shortcoming with not realizing the storage of large data of analysis ability, has expanded popularization and the application further of this technology.
Accompanying drawing explanation
Fig. 1 is the utility model general route block diagram;
Fig. 2 is wireless sensor network line map;
Fig. 3 is for converging routing node line map;
Fig. 4 is wireless sensing cloud service subsystem theory diagram.
Embodiment
The utility model is connected and composed successively by wireless sensor network 1, convergence routing node 2 and wireless sensing cloud service subsystem 3, wireless sensor network is made up of transducer 4, front end microprocessor 5, front end wireless transceiver 6, transducer 4 is connected with SS is corresponding with front end microprocessor 5 pin SCLK, SDI, SDO and SS by pin SCLK, SDO, SDI, and pin PE0 with PE1 of front end microprocessor 5 is corresponding with pin UART_TX and UART_RX of front end wireless transceiver 6 to be connected; Converge routing node 2 to be made up of intermediary wireless transceiver 7, middle microprocessor 8 and middle WiFi module 9, pin RF_P and RF_N of front end the wireless transceiver 6 and pin RF_P of intermediary wireless transceiver 7 and RF_N wireless connections, pin UART_TX and UART_RX of intermediary wireless transceiver 7 and pin UART_TX and UART_RX of middle microprocessor 8 is connected respectively, and middle microprocessor 8 is connected by Ethernet interface with middle WiFi module 9; Wireless sensing cloud service subsystem 3 comprises rear end WiFi module 10 and cloud service subsystem 11, and rear end WiFi module 10 is connected by Ethernet interface with cloud service subsystem 11, and middle WiFi module 9 is interconnected with rear end WiFi module 10.
Wherein front end microprocessor 5 is Atmega128, and front end wireless transceiver 6 and intermediary wireless transceiver 7 are CC1180, and middle microprocessor 8 is OMAP-L138, and middle WiFi module 9 is M600 with rear end WiFi module 10.
Claims (2)
1. wireless sensing cloud network system under a large data complicated applications environment, it is characterized in that: it is connected and composed successively by wireless sensor network, convergence routing node and wireless sensing cloud service subsystem, wireless sensor network is made up of transducer, front end microprocessor, front end wireless transceiver, transducer is connected with SS is corresponding with front end micro processor leg SCLK, SDI, SDO and SS by pin SCLK, SDO, SDI, and pin PE0 with PE1 of front end microprocessor is corresponding with pin UART_TX and UART_RX of front end wireless transceiver to be connected; Converge routing node by intermediary wireless transceiver, middle microprocessor and middle WiFi module composition, pin RF_P and RF_N of front end wireless transceiver and the pin RF_P of intermediary wireless transceiver and RF_N wireless connections, pin UART_TX and UART_RX of intermediary wireless transceiver and pin UART_TX and UART_RX of middle microprocessor is connected respectively, and middle microprocessor is connected by Ethernet interface with middle WiFi module; Wireless sensing cloud service subsystem comprises rear end WiFi module and cloud service subsystem, and rear end WiFi module is connected by Ethernet interface with cloud service subsystem, middle WiFi module and rear end WiFi module interconnected.
2. wireless sensing cloud network system according to claim 1, it is characterized in that: front end microprocessor is Atmega128, front end wireless transceiver and intermediary wireless transceiver are CC1180, and middle microprocessor is OMAP-L138, and middle WiFi module and rear end WiFi module are M600.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420459784.XU CN204089885U (en) | 2014-08-15 | 2014-08-15 | Wireless sensing cloud network system under a kind of large data complicated applications environment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201420459784.XU CN204089885U (en) | 2014-08-15 | 2014-08-15 | Wireless sensing cloud network system under a kind of large data complicated applications environment |
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| CN204089885U true CN204089885U (en) | 2015-01-07 |
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| CN201420459784.XU Expired - Fee Related CN204089885U (en) | 2014-08-15 | 2014-08-15 | Wireless sensing cloud network system under a kind of large data complicated applications environment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105338661A (en) * | 2015-07-13 | 2016-02-17 | 安徽农业大学 | Environment monitoring method and device taking cloud computing as configuration and employing data fusion calculation design |
| CN106570513A (en) * | 2015-10-13 | 2017-04-19 | 华为技术有限公司 | Fault diagnosis method and apparatus for big data network system |
-
2014
- 2014-08-15 CN CN201420459784.XU patent/CN204089885U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105338661A (en) * | 2015-07-13 | 2016-02-17 | 安徽农业大学 | Environment monitoring method and device taking cloud computing as configuration and employing data fusion calculation design |
| CN106570513A (en) * | 2015-10-13 | 2017-04-19 | 华为技术有限公司 | Fault diagnosis method and apparatus for big data network system |
| US10255129B2 (en) | 2015-10-13 | 2019-04-09 | Huawei Technologies Co., Ltd. | Fault diagnosis method and apparatus for big-data network system |
| CN106570513B (en) * | 2015-10-13 | 2019-09-13 | 华为技术有限公司 | The method for diagnosing faults and device of big data network system |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150107 Termination date: 20160815 |