CN202815546U - Cold-chain logistics monitoring system based on could computing - Google Patents
Cold-chain logistics monitoring system based on could computing Download PDFInfo
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- CN202815546U CN202815546U CN2012204535793U CN201220453579U CN202815546U CN 202815546 U CN202815546 U CN 202815546U CN 2012204535793 U CN2012204535793 U CN 2012204535793U CN 201220453579 U CN201220453579 U CN 201220453579U CN 202815546 U CN202815546 U CN 202815546U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The utility model discloses a cold-chain logistics monitoring system based on could computing. The cold-chain logistics monitoring system comprises a could computing network center, a vehicle-mounted analysis device, a data acquiring device, and an application client. The data acquiring device acquires real-time data of a cold-chain vehicle and transmits the data to the vehicle-mounted analysis device to analyze the data. Analysis results are fed back to the could computing network center through the vehicle-mounted analysis device for the application client to check. Instructions sent out by the application client are executed by the vehicle-mounted analysis device. The cold-chain logistics monitoring system is advantaged in that real-time and seamless remote control and management of operating states of the cold-chain vehicles are realized, using a could computing data processing technology, data transmission and computing and analyzing efficiency are greatly improved, operating cost of cold-chain logistics is reduced, and the vehicle-mounted analysis device is compatible to various sensors so that expansibility is very good.
Description
Technical field
The utility model relates to a kind of cold chain belt line, particularly a kind of Cold Chain Logistics monitoring system based on cloud computing.
Background technology
" Cold Chain Logistics " refers to be in all the time under the low temperature environment of regulation in the links of refrigerating based food before producing, preserve, transport, be sold to consumption, to guarantee food quality, reduces a systematic engineering of business of food loss.China's Cold Chain Logistics industry falls behind at present, and the rotten loss rate of the process of circulation is high, and the proportion that greengrocery enters cold chain system only has 5%.
Freezing based food especially quick-frozen food is very strict to the storage movement requirement, must guarantee subzero below 18 degrees centigrade.But the at present domestic Food Cold Chain distribution system that not yet forms specialized socialization and the continuous adaptation to market variations of energy can't realize the real-time inspection and control to whole logistics progress.
Traditional simple and crude food transport that does not have cold chain to guarantee can't have been satisfied people for the growing demand of food security, and because the singularity of cold chain car,, road and vehicle conditions variation more strict such as temperature control waits greatly, therefore has been difficult to ready-made system and cold chain car coupling.And the development of Internet of Things cloud computing, for the realization of Cold Chain Logistics Real Time Monitoring provides technical support.
The utility model content
The utility model purpose: for the problems referred to above, the purpose of this utility model provides a kind of Cold Chain Logistics monitoring system based on cloud computing, reaching the purpose of Real Time Monitoring, and is convenient to Long-distance Control.
Technical scheme: a kind of Cold Chain Logistics monitoring system based on cloud computing, comprise system for cloud computing center, vehicle-mounted analytical equipment, data collector, application end, described data collector transfers to described vehicle-mounted analytical equipment after with cold chain car real-time data acquisition and analyzes, analysis result feeds back to described system for cloud computing center by described vehicle-mounted analytical equipment and consults for described application end, and the instruction that described application end is sent is carried out by described vehicle-mounted analytical equipment.
Be provided with some Monitoring Data real-time interfaces, some executive component interfaces, wireless transmission receiver, vehicle power, CPU processor in the described vehicle-mounted analytical equipment, described data collector is connected with described Monitoring Data real-time interface, described executive component interface attended operation button, described CPU processor docks with described Monitoring Data real-time interface and described executive component interface by described wireless transmission receiver, and described CPU processor carries out the feedback of analysis result to described system for cloud computing center.
Also be provided with the RFID identification card in the described vehicle-mounted analytical equipment, described RFID identification card is connected with described CPU processor, identifying operation person identity.
Beneficial effect: compared with prior art, the utility model has the advantages that cold chain car running status is realized real-time, seamless Long-distance Control and management, use the data processing technique of cloud computing, data transmission, operational analysis efficient improve greatly, reduce the operation cost of cold logistics, the compatible various kinds of sensors of simultaneously vehicle-mounted analytical equipment, extendability is very big.
Description of drawings
Fig. 1 is the utility model schematic diagram;
Fig. 2 is the vehicle-mounted analytical equipment structural representation of the utility model;
Fig. 3 is the vehicle-mounted embedded type server architecture synoptic diagram of vehicle-mounted analytical equipment among Fig. 2.
Embodiment
Below in conjunction with the drawings and specific embodiments, further illustrate the utility model, should understand these embodiment only is used for explanation the utility model and is not used in restriction scope of the present utility model, after having read the utility model, those skilled in the art all fall within the application's claims limited range to the modification of the various equivalent form of values of the present utility model.
As shown in Figure 1, a kind of Cold Chain Logistics monitoring system based on cloud computing is comprised of system for cloud computing center, vehicle-mounted analytical equipment, data collector, application end.Data collector is various kinds of sensors, and dynamic acquisition cold chain car real time data is such as temperature, GPS position, the speed of a motor vehicle etc.Be provided with some Monitoring Data real-time interfaces in the vehicle-mounted analytical equipment, some executive component interfaces, the wireless transmission receiver, vehicle power, the CPU processor, the RFID identification card, data collector is connected with the Monitoring Data real-time interface, the executive component interface connects sound and light alarm, refrigerated storage temperature is set, the action buttons such as spare interface, the CPU processor docks with Monitoring Data real-time interface and executive component interface by the wireless transmission receiver, and the CPU processor carries out the feedback of analysis result to the system for cloud computing center, the RFID identification card is connected with described CPU processor, identifying operation person identity, and by the control of man-machine interaction realization to data.Application end can be smart mobile phone, panel computer, PC etc.
Data collector transfers to vehicle-mounted analytical equipment after with cold chain car real-time data acquisition and analyzes, analysis result feeds back to the system for cloud computing central supply by vehicle-mounted analytical equipment and consults with end, and the instruction that described application end is sent is carried out by described vehicle-mounted analytical equipment.
Have the distributed data base group between system for cloud computing center and the application end, store the analysis result of vehicle-mounted analytical equipment, for the application end inquiry.
In the utility model system, the superiors are the application controls layer, will be delivered to from the analysis result of vehicle-mounted analytical equipment in the distributed data base group on the one hand, inquire about vehicle condition for the operator.On the other hand, also operator's instruction can be delivered in the vehicle-mounted analytical equipment of lower floor by wireless network, thereby play the effect of Long-distance Control.Hardware provides data acquisition and transmission, software provides the realization of main management function, a plurality of modules such as management function includes basic function, VCM Vehicle Condition Monitoring, remote diagnosis, waybill management, information management, GPS monitoring, vehicle-mountedly orders, vehicle-mounted dispensing, food materials management, consumption card management, safe tracing, place of production management, logistics distribution, electronics rope ticket, delivery inspection.
Provided a kind of concrete structure synoptic diagram of vehicle-mounted analytical equipment shown in the accompanying drawing 2, its core is vehicle-mounted embedded type server KF868, be its main operational unit of whole vehicle-mounted analytical equipment, it is responsible for battery voltage detection, gate inhibition's switch, warning LED lamp, conversation alarm button, pilothouse loudspeaker, pilothouse microphone, antenna, color touch screen, vehicle-mounted U-disk video recording machine etc.In addition, it accesses respectively CAN Bus bus, RS485 bus and RS232 power interface.
In this vehicle-mounted analytical equipment, built-in two class antennas are respectively the gps antenna of location usefulness and GPRS or the 3G antenna that communication is used.The color touch screen can expand to smart mobile phone or PAD.The vehicle-mounted U-disk video recording machine uses the KF461U module, mainly is responsible for the data transmission tasks of rearview camera, forward sight camera, driver's camera, these four cameras of freight house camera.Various kinds of sensors is carried out data communication by RS485 bus and CPU (central processing unit), sensor includes fuel contents gauge, thermometer, hygrometer, pressure gauge etc., in order to make the data that collect more accurate, so each attribute has all used a plurality of sensors to measure.Use the RS232 serial communication interface, and fingerprint module is reserved.CAN Bus bus is the CAN Bus bus of ISO11898CAN standard, CAN Bus system connects commercial unit by corresponding CAN interface, such as limit switch, photoelectric sensor, pipeline valve, motor starter, process sensor, frequency converter, display board, PLC and PCI workstation etc., consist of low-cost network.Directly connection not only provides the device level method for diagnosing faults, and has improved the interchangeability of communication efficiency and equipment.
Provided a kind of concrete structure synoptic diagram of vehicle-mounted embedded type server KF868 in the vehicle-mounted analytical equipment shown in the accompanying drawing 3, it mainly is made of: ARM11 dual core processor, SMT32F101MCU, SMT32F103MCU, 3G communication module EVDO.Wherein, the ARM11 dual core processor is in the computing, it is positioned on the vehicle-mounted embedded type server master board, is responsible for incoming communication module, SMT32F101MCU and SMT32F103MCU, also is responsible for simultaneously output, warning and the Network Personal Video Recorder of man-machine interactive screen, the access of SD draw-in groove etc.SMT32F101MCU mainly is responsible for transmitting-receiving, touch-screen communication and the fingerprint module etc. of CAN bus.SMT32F103MCU mainly is responsible for GPS, sensor RS485 carry and voice, communication with GPRS etc.3G communication module EVDO mainly is responsible for the data transmission of 3G network.
Claims (3)
1. Cold Chain Logistics monitoring system based on cloud computing, it is characterized in that: comprise system for cloud computing center, vehicle-mounted analytical equipment, data collector, application end, described data collector transfers to described vehicle-mounted analytical equipment after with cold chain car real-time data acquisition and analyzes, analysis result feeds back to described system for cloud computing center by described vehicle-mounted analytical equipment and consults for described application end, and the instruction that described application end is sent is carried out by described vehicle-mounted analytical equipment.
2. the Cold Chain Logistics monitoring system based on cloud computing according to claim 1, it is characterized in that: be provided with some Monitoring Data real-time interfaces in the described vehicle-mounted analytical equipment, some executive component interfaces, the wireless transmission receiver, vehicle power, the CPU processor, described data collector is connected with described Monitoring Data real-time interface, described executive component interface attended operation button, described CPU processor docks with described Monitoring Data real-time interface and described executive component interface by described wireless transmission receiver, and described CPU processor carries out the feedback of analysis result to described system for cloud computing center.
3. the Cold Chain Logistics monitoring system based on cloud computing according to claim 2, it is characterized in that: also be provided with the RFID identification card in the described vehicle-mounted analytical equipment, described RFID identification card is connected with described CPU processor, identifying operation person identity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012204535793U CN202815546U (en) | 2012-09-06 | 2012-09-06 | Cold-chain logistics monitoring system based on could computing |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012204535793U CN202815546U (en) | 2012-09-06 | 2012-09-06 | Cold-chain logistics monitoring system based on could computing |
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| CN202815546U true CN202815546U (en) | 2013-03-20 |
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| CN2012204535793U Expired - Lifetime CN202815546U (en) | 2012-09-06 | 2012-09-06 | Cold-chain logistics monitoring system based on could computing |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102902247A (en) * | 2012-09-06 | 2013-01-30 | 南京物泰信息科技有限公司 | Cloud computing based cold-chain logistics monitoring system |
| CN107833159A (en) * | 2017-11-16 | 2018-03-23 | 四川长虹智能制造技术有限公司 | A kind of intelligent food and drink cloud system |
| US11833886B2 (en) | 2018-09-17 | 2023-12-05 | Carrier Corporation | Systems and methods of distributing cold chain diagnostics to own and third party cold chain, trucking and refrigeration solution providers |
-
2012
- 2012-09-06 CN CN2012204535793U patent/CN202815546U/en not_active Expired - Lifetime
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102902247A (en) * | 2012-09-06 | 2013-01-30 | 南京物泰信息科技有限公司 | Cloud computing based cold-chain logistics monitoring system |
| CN107833159A (en) * | 2017-11-16 | 2018-03-23 | 四川长虹智能制造技术有限公司 | A kind of intelligent food and drink cloud system |
| US11833886B2 (en) | 2018-09-17 | 2023-12-05 | Carrier Corporation | Systems and methods of distributing cold chain diagnostics to own and third party cold chain, trucking and refrigeration solution providers |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20130320 |