CN204352301U - Based on the drop intelligent monitor system of Internet of Things - Google Patents
Based on the drop intelligent monitor system of Internet of Things Download PDFInfo
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- CN204352301U CN204352301U CN201420761558.7U CN201420761558U CN204352301U CN 204352301 U CN204352301 U CN 204352301U CN 201420761558 U CN201420761558 U CN 201420761558U CN 204352301 U CN204352301 U CN 204352301U
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- 238000004891 communication Methods 0.000 claims abstract description 26
- 238000000034 method Methods 0.000 claims abstract description 17
- 238000007689 inspection Methods 0.000 claims abstract description 7
- 230000003287 optical Effects 0.000 claims description 12
- 239000007788 liquid Substances 0.000 claims description 7
- 230000005484 gravity Effects 0.000 claims description 6
- 206010057071 Rectal tenesmus Diseases 0.000 claims description 4
- 239000003814 drug Substances 0.000 abstract description 5
- 239000000203 mixture Substances 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000000875 corresponding Effects 0.000 description 2
- 229920001276 Ammonium polyphosphate Polymers 0.000 description 1
- 210000004369 Blood Anatomy 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000001802 infusion Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000000474 nursing Effects 0.000 description 1
Abstract
The utility model proposes a kind of drop intelligent monitor system based on Internet of Things, comprise sensing layer, transport layer, application layer and high in the clouds, it is characterized in that: described sensing layer at least comprises by some the first sensing networks formed for the first sensing node obtaining transfusion bag weight change, and described first sensing node has the first unique geocoding; Described application layer at least comprises an Object node, and described Object node at least comprises nurse's platform computer; Described transport layer at least comprises the first communication network connecting sensing layer and high in the clouds, and connects the second communication network of high in the clouds and Object node; Calculation process is carried out from sensing layer image data in described high in the clouds, and described Object node obtains operation result from high in the clouds, reminds medical personnel's inspection in time.This utility model statistics a certain region of tracking in time or patient's drop process of floor, facilitate medical personnel once to get all the medicine needed for multiple patient ready, effectively reduce the number of times that medical personnel come and go, increase work efficiency.
Description
Technical field
This utility model belongs to medical apparatus field, is specifically related to a kind of drop intelligent monitor system based on Internet of Things.
Background technology
Medical infusion mostly is gravity type drop, is suspended on fixing shelf by liquid bag or liquid bottle, liquid is dripped due to natural gravity and enters in blood.Dropping speed then relies on the hand governor of adjustable clamp on disposable transfusion device to regulate, the adjustment of dropping speed can only rely on the experience of medical personnel, and accurate control cannot be realized, and dropping speed often changes along with the change of the relative medicine bottle position of syringe needle, dropping speed is often not easy to be stablized in whole drop process.At present, the mode of monitoring of drop process still adopts artificial monitoring; On the one hand, when find drop terminate or drop process exception time, need to press the alarm button that is arranged near sick bed or directly walk and notify that medical personnel come process to nurse's platform.Because drop process is more uninteresting, patient or retinue easily doze off, cannot Timeliness coverage drop terminate or drop process occur unusual condition and there is accident.When patient carries out drop alone, especially critically ill patient, it is independently pressed alarm button and sends to report to the police and very difficultly even may not complete, and increases the burden of patient and family members; On the other hand, medical personnel often need to look after multiple room, the transfusion patient of even multiple floor, work comprises pulls out tube for transfusion or changes transfusion bag etc., as learnt, the drop of each patient carries out situation, then often need repeatedly to come and go nurse's platform and multiple room fetches medicine, greatly increase the work load of medical personnel.In fact, by can add up patient's drop process of a certain region or floor to the monitoring of drop process, facilitate medical personnel once to get all the medicine needed for multiple patient ready, effectively reduce the number of times that medical personnel come and go, increase work efficiency.
Utility model content
For the problem mentioned in background technology, the utility model proposes a kind of drop intelligent monitor system based on Internet of Things, patient's drop process of the statistics a certain region of tracking in time or floor, medical personnel are facilitated once to get all the medicine needed for multiple patient ready, effectively reduce the number of times that medical personnel come and go, increase work efficiency.
This utility model adopts one of technical scheme as follows:
A kind of drop intelligent monitor system based on Internet of Things, comprise sensing layer, transport layer, application layer and high in the clouds, described sensing layer at least comprises by some the first sensing networks formed for the first sensing node obtaining transfusion bag weight change, and described first sensing node has the first unique geocoding; Described application layer at least comprises an Object node, and described Object node at least comprises nurse's platform computer; Described transport layer at least comprises the first communication network connecting sensing layer and high in the clouds, and connects the second communication network of high in the clouds and Object node; Calculation process is carried out from sensing layer image data in described high in the clouds, and described Object node obtains operation result from high in the clouds, reminds medical personnel's inspection in time.
In one or more embodiment of the present utility model, described sensing layer also comprises by some the second sensing networks formed for the second sensing node of test point drip speed, and described second sensing node has the second unique geocoding.
In one or more embodiment of the present utility model, described transport layer comprises some intermediate nodes for connecting each sensing node, adopts wired or wireless connection between described intermediate node with each sensing node.
In one or more embodiment of the present utility model, described first sensing node is gravity sensor or pressure transducer, and described second sensing node is the optical sensor with light emission end and optical receiving end.
In one or more embodiment of the present utility model, described first sensing node is connected with the hook of mounting transfusion bag, to the tenesmus stroke of high in the clouds feedback hook, is calculated the medicinal liquid surplus judged in transfusion bag by high in the clouds; Described second sensing node is arranged at the outlet of transfusion bag drop, to high in the clouds feedback dropping speed, calculates drop remaining time by high in the clouds; Described second sensing node has the clip structure that can be folded in the outlet of described transfusion bag drop, and its light emission end and optical receiving end are relative and establish on the clamping face of clip structure.
In one or more embodiment of the present utility model, described Object node also comprises handheld terminal, and described handheld terminal has the communication module with high in the clouds or nurse's platform compunlcation.
In one or more embodiment of the present utility model, described Object node also comprises the current velocity controller being arranged at tube for transfusion place, and described current velocity controller has the communication module with high in the clouds or nurse's platform compunlcation.
This utility model adopts the two as follows of technical scheme:
Based on a drop intelligent monitor system for Internet of Things, comprise sensing layer, transport layer, application layer and high in the clouds, described sensing layer at least comprises by some terminal nodes, and described terminal node at least has the first sensing node for obtaining transfusion bag weight change; Described application layer at least comprises an Object node, and described Object node at least comprises nurse's platform computer; Described transport layer at least comprises the first communication network connecting terminal node and high in the clouds, and connects the second communication network of high in the clouds and Object node; Calculation process is carried out from sensing layer image data in described high in the clouds, and described Object node obtains operation result from high in the clouds, reminds medical personnel's inspection in time.
In one or more embodiment of the present utility model, described terminal node has the second sensing node for test point drip speed; Described terminal node comprises microcontroller and communication unit, and described first sensing node, the second sensing node are connected with described microcontroller respectively with communication unit.
In one or more embodiment of the present utility model, described transport layer comprises some intermediate nodes for connecting each terminal node, adopts wired or wireless connection between described intermediate node with each terminal node.
This utility model advantageous exists:
1) based on the data interaction processing mode of Internet of Things and cloud, whole system is made to have high compatibility, do not need the hardware circuit condition relying on the nursing places such as hospital, only need corresponding sensing node and intermediate node are installed, add that a smart machine that can network just can light component monitor system, avoid unnecessary hardware cost.
2) high in the clouds is carried out Ding Zhi Kai Tong according to the demand of user and is changed corresponding function, is applicable to the requirement of user to application function and cost control;
3) be equipped with nurse's platform computer and handheld terminal, facilitated medical personnel to know up-to-date monitor message in time, adjustment job placement or personal scheduling;
4) system is to protecting dry platform computer and handheld terminal without too high hardware requirement, can according to practical situation adopt APP or directly WEB landing approach carry out monitor message acquisition, avoiding problems the high cost investment that HardwareUpgring or customization bring.
Such as above-mentioned advantage, this utility model no matter from economy, or practicality is seen, is all the products with brilliance, very applicablely promotes the use of.
Accompanying drawing explanation
Fig. 1 is the system composition block schematic illustration of this utility model embodiment one.
Fig. 2 is the enforcement structural representation of this utility model embodiment one.
Fig. 3 is the light sensing clamp minor structure schematic diagram of this utility model embodiment one.
Fig. 4 is the system composition block schematic illustration of this utility model embodiment two.
Fig. 5 is the system composition block schematic illustration of this utility model embodiment three.
Fig. 6 is the terminal node composition block schematic illustration of this utility model embodiment three.
Fig. 7 is the enforcement structural representation of this utility model embodiment four.
Detailed description of the invention
As follows by reference to the accompanying drawings, the application's scheme is further described:
As Figure 1-3, embodiment one of the present utility model:
A kind of drop intelligent monitor system based on Internet of Things, comprise sensing layer 1, transport layer 2, application layer 3 and high in the clouds 4, described sensing layer 1 at least comprises by some the first sensing networks formed for the first sensing node 102 obtaining transfusion bag weight change, and described first sensing node 102 has the first unique geocoding; Described application layer 3 at least comprises an Object node 30, and described Object node 30 at least comprises nurse's platform computer; Described transport layer 2 at least comprises the first communication network 201 connecting sensing layer 1 and high in the clouds 4, and connects the second communication network 202 of high in the clouds 4 and Object node 30; Calculation process is carried out from sensing layer 1 image data in described high in the clouds 4, and described Object node 30 obtains operation result from high in the clouds 4, reminds medical personnel's inspection in time.
Described sensing layer 1 also comprises by some the second sensing networks formed for the second sensing node 104 of test point drip speed, and described second sensing node 104 has the second unique geocoding.
Described first sensing node 102 is gravity sensor or pressure transducer, and described second sensing node 104 is for having the optical sensor of light emission end 104a and optical receiving end 104b.
Described first sensing node 102 is connected with the hook 12 of mounting transfusion bag 50, feeds back the tenesmus stroke of hook 12, calculated the medicinal liquid surplus judged in transfusion bag 50 by high in the clouds 4 to high in the clouds 4; Described second sensing node 104 is arranged at transfusion bag 50 drop outlet 501, feeds back dropping speed to high in the clouds 4, calculates drop remaining time by high in the clouds 4; Described second sensing node 104 has the clip structure 13 that can be folded in described transfusion bag 50 drop outlet 501, and its light emission end 104a and optical receiving end 104b are relative and establish on the clamping face of clip structure 13.
Described Object node 30 also comprises handheld terminal, and described handheld terminal has the communication module with high in the clouds 4 or nurse's platform compunlcation.
As shown in Figure 7, described Object node 30 also comprises the current velocity controller 502 being arranged at tube for transfusion place, described current velocity controller 502 has the communication module with high in the clouds 4 or nurse's platform compunlcation, for according to high in the clouds 4 operation result and the flow parameters preset, or drop flow speed control is carried out in the operation of nurse's platform computer.
As shown in Figure 4, embodiment two of the present utility model, is with the difference of above-mentioned embodiment one:
Described transport layer 2 comprises some intermediate nodes 20 for connecting each sensing node, and described intermediate node 20 adopts wired or wireless connection with between each sensing node.
As seen in figs. 5-6, embodiment three of the present utility model:
A kind of drop intelligent monitor system based on Internet of Things, comprise sensing layer 1, transport layer 2, application layer 3 and high in the clouds 4, described sensing layer 1 at least comprises by some terminal nodes 10, and described terminal node at least has the first sensing node 102 for obtaining transfusion bag weight change; Described application layer 3 at least comprises an Object node 30, and described Object node 30 at least comprises nurse's platform computer; Described transport layer 2 at least comprises the first communication network 201 connecting terminal node 10 and high in the clouds 4, and connects the second communication network 202 of high in the clouds 4 and Object node 30; Calculation process is carried out from sensing layer 1 image data in described high in the clouds 4, and described Object node 30 obtains operation result from high in the clouds 4, reminds medical personnel's inspection in time.
Described terminal node 10 has the second sensing node 104 for test point drip speed.
Described terminal node 10 comprises microcontroller 101 and communication unit 103, and described first sensing node 102, second sensing node 104 is connected with described microcontroller 101 respectively with communication unit 103.
Described transport layer 2 comprises some intermediate nodes 20 for connecting each terminal node 10, adopts wired or wireless connection between described intermediate node 20 with each terminal node 10.
As Figure 2-3, identical with the enforcement structure of above-mentioned embodiment one, described first sensing node 102 is gravity sensor or pressure transducer, and described second sensing node 104 is for having the optical sensor of light emission end 104a and optical receiving end 104b.
Described first sensing node 102 is connected with the hook 12 of mounting transfusion bag 50, feeds back the tenesmus stroke of hook 12, calculated the medicinal liquid surplus judged in transfusion bag 50 by high in the clouds 4 to high in the clouds 4; Described second sensing node 104 is arranged at transfusion bag 50 drop outlet 501, feeds back dropping speed to high in the clouds 4, calculates drop remaining time by high in the clouds 4; Described second sensing node 104 has the clip structure 13 that can be folded in described transfusion bag 50 drop outlet 501, and its light emission end 104a and optical receiving end 104b are relative and establish on the clamping face of clip structure 13.
Above-mentioned preferred implementation should be considered as illustrating of the application's scheme implementation mode, allly to duplicate with the application's scheme, technology that is approximate or that make based on this is deduced, replaces, improvement etc., all should be considered as the protection domain of this patent.
Claims (10)
1. the drop intelligent monitor system based on Internet of Things, comprise sensing layer, transport layer, application layer and high in the clouds, it is characterized in that: described sensing layer at least comprises by some the first sensing networks formed for the first sensing node obtaining transfusion bag weight change, and described first sensing node has the first unique geocoding; Described application layer at least comprises an Object node, and described Object node at least comprises nurse's platform computer; Described transport layer at least comprises the first communication network connecting sensing layer and high in the clouds, and connects the second communication network of high in the clouds and Object node; Calculation process is carried out from sensing layer image data in described high in the clouds, and described Object node obtains operation result from high in the clouds, reminds medical personnel's inspection in time.
2. the drop intelligent monitor system based on Internet of Things according to claim 1, it is characterized in that: described sensing layer also comprises by some the second sensing networks formed for the second sensing node of test point drip speed, and described second sensing node has the second unique geocoding.
3. the drop intelligent monitor system based on Internet of Things according to claim 2, is characterized in that: described transport layer comprises some intermediate nodes for connecting each sensing node, adopts wired or wireless connection between described intermediate node with each sensing node.
4. the drop intelligent monitor system based on Internet of Things according to any one of claim 1-3, it is characterized in that: described first sensing node is gravity sensor or pressure transducer, described second sensing node is the optical sensor with light emission end and optical receiving end.
5. the drop intelligent monitor system based on Internet of Things according to claim 4, it is characterized in that: described first sensing node is connected with the hook of mounting transfusion bag, to the tenesmus stroke of high in the clouds feedback hook, calculated the medicinal liquid surplus judged in transfusion bag by high in the clouds; Described second sensing node is arranged at the outlet of transfusion bag drop, to high in the clouds feedback dropping speed, calculates drop remaining time by high in the clouds; Described second sensing node has the clip structure that can be folded in the outlet of described transfusion bag drop, and its light emission end and optical receiving end are relative and establish on the clamping face of clip structure.
6. the drop intelligent monitor system based on Internet of Things according to claim 5, is characterized in that: described Object node also comprises handheld terminal, and described handheld terminal has the communication module with high in the clouds or nurse's platform compunlcation.
7. the drop intelligent monitor system based on Internet of Things according to claim 4, it is characterized in that: described Object node also comprises the current velocity controller being arranged at tube for transfusion place, described current velocity controller has the communication module with high in the clouds or nurse's platform compunlcation.
8. the drop intelligent monitor system based on Internet of Things, comprise sensing layer, transport layer, application layer and high in the clouds, it is characterized in that: described sensing layer at least comprises by some terminal nodes, described terminal node at least has the first sensing node for obtaining transfusion bag weight change; Described application layer at least comprises an Object node, and described Object node at least comprises nurse's platform computer; Described transport layer at least comprises the first communication network connecting terminal node and high in the clouds, and connects the second communication network of high in the clouds and Object node; Calculation process is carried out from sensing layer image data in described high in the clouds, and described Object node obtains operation result from high in the clouds, reminds medical personnel's inspection in time.
9. the drop intelligent monitor system based on Internet of Things according to claim 8, is characterized in that: described terminal node has the second sensing node for test point drip speed; Described terminal node comprises microcontroller and communication unit, and described first sensing node, the second sensing node are connected with described microcontroller respectively with communication unit.
10. the drop intelligent monitor system based on Internet of Things according to claim 9, is characterized in that: described transport layer comprises some intermediate nodes for connecting each terminal node, adopts wired or wireless connection between described intermediate node with each terminal node.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105521537A (en) * | 2016-01-17 | 2016-04-27 | 苏州摩比力特电子科技有限公司 | Intelligent system and mobile terminal with medical monitoring function |
CN105709298A (en) * | 2016-01-19 | 2016-06-29 | 沈益峰 | Cloud computing dropping management system |
CN107948264A (en) * | 2017-11-16 | 2018-04-20 | 芜湖市卓亚电气有限公司 | Power equipment signal wireless transmission system |
CN109381774A (en) * | 2018-08-27 | 2019-02-26 | 延安大学 | A kind of monitoring infusion and health management system arranged and method |
CN110548197A (en) * | 2018-06-04 | 2019-12-10 | 永磐科技股份有限公司 | infusion real-time monitoring system and method |
-
2014
- 2014-12-04 CN CN201420761558.7U patent/CN204352301U/en not_active Expired - Fee Related
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105521537A (en) * | 2016-01-17 | 2016-04-27 | 苏州摩比力特电子科技有限公司 | Intelligent system and mobile terminal with medical monitoring function |
CN105709298A (en) * | 2016-01-19 | 2016-06-29 | 沈益峰 | Cloud computing dropping management system |
CN107948264A (en) * | 2017-11-16 | 2018-04-20 | 芜湖市卓亚电气有限公司 | Power equipment signal wireless transmission system |
CN110548197A (en) * | 2018-06-04 | 2019-12-10 | 永磐科技股份有限公司 | infusion real-time monitoring system and method |
US10821227B2 (en) * | 2018-06-04 | 2020-11-03 | Mikotek Information Inc. | Intravenous drip real-time monitoring system and method |
CN109381774A (en) * | 2018-08-27 | 2019-02-26 | 延安大学 | A kind of monitoring infusion and health management system arranged and method |
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Address after: 528400 Guangdong city of Zhongshan Province Pearl Torch Development Zone yuan Yuanxi a west five street, Lane 120, C card Patentee after: Zhong Shanruntao Zhi Ke Technology Co., Ltd. Address before: Safety bar Road No. 90 on the third floor 8 card 528400 in Guangdong province Zhongshan City Shiqi District Patentee before: Zhong Shanruntao commerce and trade company limited |
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