CN202395819U - Motion analysis system based on cloud computation - Google Patents
Motion analysis system based on cloud computation Download PDFInfo
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- CN202395819U CN202395819U CN2011205313199U CN201120531319U CN202395819U CN 202395819 U CN202395819 U CN 202395819U CN 2011205313199 U CN2011205313199 U CN 2011205313199U CN 201120531319 U CN201120531319 U CN 201120531319U CN 202395819 U CN202395819 U CN 202395819U
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Abstract
The utility model discloses a motion analysis system based on cloud computation, comprising an acquirer and a cloud server, wherein the acquirer comprises a sensor which is used for acquiring motion data, a controller which is connected with the sensor and is used for transmitting the motion data to a network communication chip; the network communication chip is connected with the controller, the network communication chip is used for transmitting the motion data to the cloud server; and the cloud server comprises a calculation unit used for calculating the motion data and a display unit connected with the calculation unit, wherein the display unit is used for displaying a result calculated by the calculation unit. Compared with the prior art, the scheme provided by the utility model has the advantages that the network communication chip can feed back the motion data acquired by the sensor to the cloud server in real time and the motion data is calculated and displayed by virtue of the cloud server. Thus, the motion analysis system disclosed by the utility model can feed back the calculated motion data to a user in real time, is simple in structure and is convenient to operate.
Description
Technical field
The utility model relates to communication technical field, in particular, relates to the MAS based on cloud computing.
Background technology
Along with the increasing concern of modern crowd to health, relevant healthy electronic product is more and more, and how comprehensive and accurate data during human body motion become the problem that present people need solve.Mostly existing product is pedometer, and the normal acceleration value of human body is carried out the leg speed that human body is advanced when walking about through human body.
In research and practice process to prior art, the inventor of the utility model finds that there is following problem in prior art:
Because existing pedometer is subject to memory space and device hardware disposal ability,, just can see the details of storage behind the derived data so need the data derivation of timing with storage inside.Long when service time, when exercise data exceeds the memory space of device, then can't continue to write down new data, can only delete old data and store new data later on again, so existing pedometer uses relative complex.And existing pedometer is subject to the memory space operational capability, so the motion leg speed can only be provided, can not satisfy the higher demand that people individual understands amount of exercise, motion process details.
The utility model content
In view of this, the purpose of design of the utility model is, a kind of MAS based on cloud computing is provided, and is simple with implementation structure, easy to operate, advantages such as instant playback.
The utility model embodiment is achieved in that
A kind of MAS based on cloud computing comprises collector and Cloud Server;
Said collector comprises:
Obtain the transducer of exercise data;
With the controller that said transducer is connected, said controller is sent to the network service chip with said exercise data;
Said network service chip is connected with said controller, and said network service chip is sent to said exercise data in the said Cloud Server;
Said Cloud Server comprises:
Calculate the computing unit of said exercise data;
With the display unit that said computing unit is connected, said display unit demonstrates the result that said computing unit calculates.
Preferably, in the above-mentioned MAS based on cloud computing, said transducer is specially 3-axis acceleration sensor.
Preferably, in the above-mentioned MAS based on cloud computing, said network service chip is specially Bluetooth chip.
Preferably, in the above-mentioned MAS based on cloud computing, said network service chip is specially the 3g module.
Preferably, in the above-mentioned MAS based on cloud computing, said network service chip is specially the WIFI chip.
Preferably, in above-mentioned MAS, also comprise the power module that is connected with said transducer, controller and network service chip respectively based on cloud computing.
Compared with prior art, the technical scheme that provides of the utility model embodiment has the following advantages and characteristics:
In the scheme that the utility model provides; Obtain the exercise data of human body through the transducer of collector, and this exercise data is sent in the network service chip through controller, utilize the network service chip that this exercise data is sent in the Cloud Server again; The computing unit of Cloud Server calculates this exercise data; And result of calculation is presented in the display unit, so the utility model can calculate the exercise data of human body, and can feed back to the user timely.Compared with prior art, the scheme that the utility model provides can feed back to Cloud Server through the instant exercise data that transducer is got access to of network service chip, and shows after through the Cloud Server end exercise data being calculated.Therefore, the exercise data that the utility model not only can be instant after will calculating feeds back to the user, and, simple in structure, easy to operate.
Description of drawings
In order to be illustrated more clearly in the utility model or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiment of the utility model, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is for the utility model provided based on the module map of the MAS of cloud computing.
Embodiment
To combine the accompanying drawing among the utility model embodiment below, the technical scheme among the utility model embodiment is carried out clear, intactly description, obviously, described embodiment only is the utility model part embodiment, rather than whole embodiment.Based on the embodiment in the utility model, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the utility model protection.
The utility model embodiment provides a kind of MAS based on cloud computing, comprises collector and Cloud Server; Said collector comprises: the transducer that obtains exercise data; With the controller that said transducer is connected, said controller is sent to the network service chip with said exercise data; Said network service chip is connected with said controller, and said network service chip is sent to said exercise data in the said Cloud Server; Said Cloud Server comprises: the computing unit that calculates said exercise data; With the display unit that said computing unit is connected, said display unit demonstrates the result that said computing unit calculates.
Because there is multiple mode in the concrete realization of above-mentioned MAS based on cloud computing, is elaborated through specific embodiment below:
See also shown in Figure 1ly, shown in Figure 1 is a kind of MAS based on cloud computing, comprises collector 1 and Cloud Server 2; Said collector 1 comprises: the transducer 11 that obtains exercise data; With the controller 12 that said transducer 11 is connected, said controller 12 is sent to network service chip 13 with said exercise data; Said network service chip 13 is connected with said controller 12, and said network service chip 13 is sent to said exercise data in the said Cloud Server 2; Said Cloud Server 2 comprises: the computing unit 21 that calculates said exercise data; With the display unit 22 that said computing unit 21 is connected, said display unit 22 demonstrates the result that said computing unit 21 calculates.
In the embodiment shown in fig. 1; Obtain the exercise data of human body through the transducer 11 of collector 1; And this exercise data is sent in the network service chip 13 through controller 12; Utilize network service chip 13 that this exercise data is sent in the Cloud Server 2 again, 21 pairs of these exercise datas of the computing unit of Cloud Server 2 calculate, and result of calculation is presented in the display unit 22; So the utility model can calculate the exercise data of human body, and can feed back to the user timely.Compared with prior art, the scheme that the utility model provides can feed back to Cloud Server 2 through the network service chip 13 instant exercise datas that transducer 11 is got access to, and shows after through Cloud Server 2 ends exercise data being calculated.Therefore, the exercise data that the utility model not only can be instant after will calculating feeds back to the user, and, simple in structure, easy to operate.
In the embodiment shown in fig. 1, said transducer 11 specifically can be 3-axis acceleration sensor.Said network service chip 13 both can be Bluetooth chip, also can be the 3g module, can also be the WIFI chip, can carry out concrete setting according to different purposes.If network service chip 13 is set to Bluetooth chip, the exercise data that then can earlier transducer 11 be obtained sends to mobile phone through Bluetooth chip, utilizes mobile phone that exercise data is sent to Cloud Server 2 again; If network service chip 13 is set to the 3g module, then can the exercise data that transducer 11 obtains directly be sent to Cloud Server 2 through the 3g module; If network service chip 13 is set to the WIFI chip, the exercise data that then can earlier transducer 11 be obtained sends to wireless router through the WIFI chip, utilizes wireless router through network exercise data to be sent to server 2 again.In addition, in the present embodiment, can also comprise respectively the power module 14 that is connected with network service chip 13 with said transducer 11, controller 12, so that power module 14 provides electric weight for transducer 11, controller 12 and network service chip 13.
In sum; Can gather human body movement data in real time through collector 1; Send in real time on the Cloud Server 2 through Bluetooth technology; Utilize the powerful storage operational capability of Cloud Server 2, data are carried out analytical calculation and turned back to user side, user side can make data terminals such as user's mobile phone, PDA, computer.The utility model can provide more comprehensively somatic data analysis, comprises information such as motion frequency, step number, motion consumption.
Need to prove that embodiment shown in Figure 1 is the preferred embodiment that the utility model is introduced, those skilled in the art can design more embodiment on this basis fully, therefore do not give unnecessary details herein.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the utility model.Multiple modification to these embodiment will be conspicuous concerning those skilled in the art, and defined General Principle can realize under the situation of spirit that does not break away from the utility model or scope in other embodiments among this paper.Therefore, the utility model will can not be restricted to these embodiment shown in this paper, but will meet and principle disclosed herein and features of novelty the wideest corresponding to scope.
Claims (6)
1. the MAS based on cloud computing is characterized in that, comprises collector and Cloud Server;
Said collector comprises:
Obtain the transducer of exercise data;
With the controller that said transducer is connected, said controller is sent to the network service chip with said exercise data;
Said network service chip is connected with said controller, and said network service chip is sent to said exercise data in the said Cloud Server;
Said Cloud Server comprises:
Calculate the computing unit of said exercise data;
With the display unit that said computing unit is connected, said display unit demonstrates the result that said computing unit calculates.
2. the MAS based on cloud computing according to claim 1 is characterized in that said transducer is specially 3-axis acceleration sensor.
3. the MAS based on cloud computing according to claim 1 is characterized in that, said network service chip is specially Bluetooth chip.
4. the MAS based on cloud computing according to claim 1 is characterized in that, said network service chip is specially the 3g module.
5. the MAS based on cloud computing according to claim 1 is characterized in that, said network service chip is specially the WIFI chip.
6. the MAS based on cloud computing according to claim 1 is characterized in that, also comprises the power module that is connected with said transducer, controller and network service chip respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011205313199U CN202395819U (en) | 2011-12-16 | 2011-12-16 | Motion analysis system based on cloud computation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011205313199U CN202395819U (en) | 2011-12-16 | 2011-12-16 | Motion analysis system based on cloud computation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202395819U true CN202395819U (en) | 2012-08-22 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011205313199U Expired - Fee Related CN202395819U (en) | 2011-12-16 | 2011-12-16 | Motion analysis system based on cloud computation |
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| Country | Link |
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| CN (1) | CN202395819U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103530978A (en) * | 2013-10-18 | 2014-01-22 | 南京大学 | Special population-oriented danger sensing and alarming system |
| CN104717256A (en) * | 2013-12-12 | 2015-06-17 | 杨岚 | Measured data cloud storage system and work procedure thereof |
| CN107591191A (en) * | 2017-09-29 | 2018-01-16 | 广州市香港科大霍英东研究院 | The analysis storage method and system of exercise data |
| CN107945849A (en) * | 2017-11-17 | 2018-04-20 | 长沙瑞晓知识产权服务有限公司 | A kind of motion analysis system based on cloud computing |
-
2011
- 2011-12-16 CN CN2011205313199U patent/CN202395819U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103530978A (en) * | 2013-10-18 | 2014-01-22 | 南京大学 | Special population-oriented danger sensing and alarming system |
| CN103530978B (en) * | 2013-10-18 | 2015-11-04 | 南京大学 | A kind of dangerous criminal towards special population and warning system |
| CN104717256A (en) * | 2013-12-12 | 2015-06-17 | 杨岚 | Measured data cloud storage system and work procedure thereof |
| CN107591191A (en) * | 2017-09-29 | 2018-01-16 | 广州市香港科大霍英东研究院 | The analysis storage method and system of exercise data |
| WO2019061552A1 (en) * | 2017-09-29 | 2019-04-04 | 广州市香港科大霍英东研究院 | Motion data analysis and storage method and system |
| CN107945849A (en) * | 2017-11-17 | 2018-04-20 | 长沙瑞晓知识产权服务有限公司 | A kind of motion analysis system based on cloud computing |
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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 |
Granted publication date: 20120822 Termination date: 20141216 |
|
| EXPY | Termination of patent right or utility model |