CN105338661A - Environment monitoring method and device taking cloud computing as configuration and employing data fusion calculation design - Google Patents
Environment monitoring method and device taking cloud computing as configuration and employing data fusion calculation design Download PDFInfo
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- CN105338661A CN105338661A CN201510415208.4A CN201510415208A CN105338661A CN 105338661 A CN105338661 A CN 105338661A CN 201510415208 A CN201510415208 A CN 201510415208A CN 105338661 A CN105338661 A CN 105338661A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention provides an environment monitoring method and device taking cloud computing as configuration and employing a data fusion calculation design, and the method comprises the steps: distributing a plurality of sensor nodes in a to-be-monitored environment, so as to carry out the measurement of environment parameters and information; building a central monitoring system with a network server, so as to receive the data of sensor nodes and execute the alarm and storage operation; setting a plurality of convergence nodes in a sensor network, so as to receive and gather the sensing data of a plurality of sensor nodes with the same measurement target; integrating the sensing data and transmitting the data to a network server of a central monitoring system; carrying out the fusion of the un-transmitted data of at least one of the sensor nodes and convergence nodes through a local data fusion method, so as to remove redundant information, and to carry out transmission after the simplifying of transmission data volume; and transmitting the positioning information of the sensor nodes and the convergence nodes to a network server in real time through energy saving management and positioning calculation service and a sensing cloud computing method.
Description
Technical field
The present invention relates to a kind of environment control method and device thereof, refers to one especially with high in the clouds computing for body frame structure, and uses local data to merge the Newer designs of calculation design.
Background technology
Science and technology flourishing today is in social environment, every profession and trade all creates clear and definite demand in automation, real-time and wireless sensor controlling functions etc., environment wisdom (AmbientIntelligent) theory that people-oriented has more attracted the popular interest to this personal science and technology, and inspires the endless imagination.Wherein a wireless sensor network at home, outer application, initial stage is mainly based on ecological observation, environmental monitoring and warning function, the application of wireless sensor network, appear at the dozens of monitoring point that garden institute cloth that California Hang Ting pauses library is built the earliest, more expanded to afterwards in the farmland built in the monitoring of vineyard soil moisture and cloth near space shuttle launch site and greenhouse.With regard to domestic, the application of wireless sensor network in ecological observation tests the ecological graticule mesh of National Highway network center of institute participation for representative with forestry.
Sensor network covers monitored area by a large amount of sensor node and formed, at monitoring range and the limited reliability of single-sensor node, therefore need when on-premise network that sensor node is reached and determine density, with the accuracy of the robustness and monitoring information that strengthen whole network, sometimes very to needing the monitoring range making node to overlap each other; But the state that this kind of monitored area overlaps mutually, there is the redundancy of determining degree in the information reported causing neighbor node.Such as to the sensor network at monitor temperature, the temperature of each position may have multiple sensor node to monitor, these node institute report temperature information can closely or identical, when this degree of redundancy is very high, the data of these node reports is all sent to aggregation node and only sends compared with part data, except making network consumption more except multi-energy, aggregation node also fails to obtain more information.
In addition, sensor network is made up of sensor node cheap in a large number, is deployed in various environment, and the information obtained from sensor node also exists higher unreliability.These unreliable factors come comfortable several aspect, such as: limit by low cost and volume so that the sensor accuracy of Joint Enterprise is lower, wireless communication mechanism makes transmission data more easily be disturbed and go to pot, harsh environments is except affecting data and transmitting, the functional part that also can destroy node makes operation irregularity, the factors such as data report mistake; Can understand thus, only collect the sensor node data of a few dispersion, real difficulty guarantees the correctness of gained information.
Summary of the invention
Main purpose of the present invention, that a kind of environment control method and device that calculate design for framework usage data merges with high in the clouds computing are being provided, its the problem points for solving, be that target is thought breakthrough for how developing a kind of environment monitoring techniques having more desirable practicality;
The technical characterstic that the present invention deals with problems, mainly comprise: for laying most sensor nodes in monitoring environment with the surveying work of execution environment parameter with information, and be the sensor network that wireless network architecture construction formation has one or more measurement target projects with ZigBee; Set up the central monitoring system with the webserver, it is with the data of receiving sensor node and execution comprises the action of reporting to the police and storing, and can process data and print form according to customer demand; At the several aggregation node of this sensor network locations to receive the sense data of the identical sensor node of a remittance integer measurement target, then integrate the webserver being sent to central monitoring system; By local data fusion means, sensor node, one of them data not yet sent of aggregation node are merged, perform transmission again to remove after redundant information makes simplifying of transmitted data amount; By sensing high in the clouds computing means, the locating information of each sensor node, aggregation node is served by administration of energy conservation and location Calculation the webserver passing this central monitoring system in real time back.
This innovates unique design, object of the present invention is mainly the collection and analysis and processing module that develop and overlap from many sensing signals, and the position in real time each for network node sensed, various signal is collected and analyzing and processing by sensing high in the clouds and high in the clouds calculation mechanism, and result is transferred to the webserver by ZigBee-network, the present invention is merged means by local data and can be removed after redundant information makes simplifying of transmitted data amount and perform transmission again, this compares can to reach in known techniques and effectively saves energy, improve advantage and the progressive of precision of information and confidence level.
Accompanying drawing explanation
The text block diagram of Fig. 1 environment control method of the present invention.
The system schematic of Fig. 2 environmental monitoring installation of the present invention.
Embodiment
Referring to shown in Fig. 1, is preferred embodiment of the present invention, and these embodiments only for what illustrate, patent application are not subject to the restriction of this structure; Described with high in the clouds computing for framework usage data merge calculation design environment control method, be comprise following:
For laying most sensor nodes in monitoring environment with the surveying work of execution environment parameter with information, and be wireless network architecture with ZigBee, construction formation has the sensor network of one or more measurement target projects;
Set up the central monitoring system with the webserver, its function comprises the data receiving described sensor node, and performs the action comprising and report to the police and store, and can process data and print form according to customer demand;
At the several aggregation node of this sensor network locations, to receive the sense data of the identical sensor node of a remittance integer measurement target, then integrate the webserver being sent to this central monitoring system;
Merge means by local data, the data that sensor node and aggregation node not yet send are merged, perform transmission again to remove after redundant information makes simplifying of transmitted data amount;
By sensing high in the clouds (SensorsCloud) computing means, the locating information of each sensor node, aggregation node is served by administration of energy conservation and location Calculation the webserver passing this central monitoring system in real time back.
Wherein, the environmental parameter performed by this sensor node and information measurement work, comprise the meaning one such as electric power, temperature, humidity, brightness, acceleration, pressure, sound, cigarette, infrared ray, chemical substance or meaning combination.
Wherein, described local data fusion means are by carrying out data fusion to the data that gather of multiple sensor nodes of the identical measurement target project of monitoring, with effectively improve the accuracy and confidence of acquisition information.Described local data fusion means are except carrying out except the mode of data fusion by aforementioned to the data that multiple sensor nodes of the identical measurement target project of monitoring gather, more can for same measurement target project and belong to carry out data fusion in the data of multiple sensor node collections of same specified scope, described specified scope is the definition comprising any one scope of scope inside and outside regional extent, altitude range, space; This effectively can improve the accuracy and confidence of obtained information equally.
The present invention as shown in Figure 2, is comprise with regard to device surface:
A most sensor node 10, be laid in the surveying work with execution environment parameter and information in wish monitoring environment, and these sensor nodes take ZigBee as wireless network architecture, construction forms the sensor network 11 with one or more measurement target projects; There is the central monitoring system 20 of the webserver 21, be located in the radio transmission range of this sensor network 11, the function of this central monitoring system 20 comprises the data receiving described sensor node 10, and perform the action comprising and report to the police and store, and can process data and print form according to customer demand; A most aggregation node 30, is arranged in this sensor network 11, to receive the sense data of the identical sensor node 10 of a remittance integer measurement target, then integrates the webserver 21 being sent to this central monitoring system 20; Local data's integrated unit 40, is arranged in this sensor network 11, to merge sensor node 10, one of them data not yet sent of aggregation node 30, performs transmission again to remove after redundant information makes simplifying of transmitted data amount; Sensing high in the clouds (SensorsCloud) arithmetic element 50, be located in the radio transmission range of this sensor network 11, this sensing high in the clouds arithmetic element 50 has programmable signal processor 51 (can adopt DSPPACDSPV3) and secure localization computing function, the locating information of each sensor node 10, aggregation node 30 to be passed in real time back the webserver 21 of this central monitoring system 20 by administration of energy conservation and location Calculation function.
Described ZigBee is the communications protocol that one follows IEEE802.15.4 (IEEE2003), by Berkeley university of the U.S. is created.Zigbee is a kind of new short distance radio communication standards, and sharpest edges are low cost, low power consumption and applied range.This standard is main is used for improving the shortcoming of Bluetooth technology (802.15.1), and because Bluetooth technology can only gather seven wireless facilities, and ZigBee can control more than 60,000; Signal from unlatching bluetooth earphone to collection bluetooth cellular phone about 3 ~ 4 seconds, as long as but ZigBee interface transmission 30 milliseconds (ms).This 802.15.4/Zigbee can be arranged on mobile phone or on remote controller, can capture rapidly the wireless facilities signal of the same interface of multiple outfit in a space.
Described high in the clouds computing (CloudComputing) is a kind of business computation model, and it is distributed in calculating business in the resource of a large amount of calculator formation, enables user according to demand to obtain computing power, storage area and information service.Along with the development of world-wide web and web2.0 concept are suggested, the behavior of the network user also changes invention into by simple browsing and shares; In addition, the information equipment of mobile also gets more and more, and conveniently shares and takes, and users transfer to data the data center of web services provider from the computer of individual; And ISP serves more rapidly in order to provide more stable, also needing the service architecture that new, by the more efficient utilization of calculation resources and storage area, providing service developers more convenient development environment simultaneously.High in the clouds computing is exactly the concept aforementioned all demands be integrated into, and one, towards being allow user use in mode more easily and to obtain service, very being arrived and develops new service by the simplest mode.
High in the clouds (SensorsCloud) computing means are sensed described in the present invention, refer to high in the clouds computing another towards, also integrated tissue internal arithmetic resource is namely used for, with full blast, the easiest mode in management, the computing providing cloud service stable and energy storage.
Wherein, described data fusion means can be selected and anticipate a kind of algorithm from weighted mean method, Kalman filtering algorithm, Bayesian Estimation, D-S (Dempster-Shafter) evidence theory, fuzzy logic, neural net.Be described as follows for the progress of each data fusion means:
(1) weighted mean method: weighted average is the simplest and method intuitively of one, the redundant information provided by multiple transducer be weighted average after as fusion value.The method can process dynamic initial data in real time, but the determination that power is number has fixed subjectivity.
(2) Kalman filtering algorithm: Kalman filtering algorithm can merge dynamically rudimentary redundant data immediately, modeling can be carried out with white Gaussian noise to the system noise of linear system and sensor noise, then Kalman filtering can provide only statistical significance on optimum fusion value, and in filtering, do not need a large amount of memory spaces, can process in real time.
(3) Bayesian Estimation: Bayesian Estimation is that various uncertain information is expressed as probability, separate decision-making is regarded as the division of a sample space, use Bayes's condition probability formula to process, the decision-making of final system can be provided by some rule.Shortcoming needs the prior probability of target and calculation of complex.
(4) D-S (Dempster-Shafter) evidence theory: be a kind of method relatively conventional in current data fusion technology, the method is commonly used to represent to be inferred in size, the position and whether existing detecting target.According to the reasoning pattern of people, have employed probability interval and do not help the likelihood function determining to suppose under many evidences are decided in interval to carry out reasoning.The characteristic parameter of the information extraction detected by various transducer constitutes the evidence in this theory, utilizes these evidences to construct corresponding basic probability assignment function, gives a reliability in all propositions.Basic probability assignment function and corresponding resolution frame thereof are collectively referred to as an evidence body.Therefore, each transducer is just quite at an evidence body.Multiple Data Fusion of Sensor is exactly in fact under same resolution frame, utilizes Dempster to merge rule and each evidence body is merged into a new evidence body.The process producing fresh evidence body is exactly D-S method data fusion.
(5) fuzzy logic: the phenomenon for the target signature detected in data fusion with certain ambiguity, someone utilizes fuzzy logic method identify detection target and classify.Criterion detection target and detection order objective fuzzy subset to be identified are the Research foundations of the method.But the foundation of fuzzy subset needs various standard detection target, suitable membership function must be set up again simultaneously.And determine that membership function is cumbersome, also do not have the method for specification to follow at present.Be subject to again the restriction of various condition by the foundation in standard detection destination subset, often error is larger.The method of Process Based also has evidential reasoning, production rule etc.
(6) neural net: neural net is formed by connecting by a large amount of extensively interconnected processing unit, and it proposes on the basis of human information place achievement in research at modern neuro biology and cognitive science.In signal transacting mechanism, it and traditional digital computer have basic difference, and it has large-scale parallel simulation process, continuous time dynamics and feature such as network overall situation effect etc., memory and operate combined into.It is theoretical that neural net has very strong adaptive learning, thus can substitute the traditional algorithm of complicated and time consumption, makes signal processing closer to human thinking activities.Utilize the high-speed parallel operational capability of neural net, can real-time implementation be difficult to computer technology realize Optimal Signals Processing Algorithm; Utilize the feature of the storage of neural net distributed information and parallel processing, the process of modeling and feature extraction in mode identification method can be avoided, thus eliminate by not being inconsistent the improper impact brought with feature selecting at model, and realize Real time identification, to improve the performance of recognition system.The general principle of neural net just repeats no more here.According to data, neural net is existing many-sided application in data fusion, and the network model applied has knows reflection network, BP network, probabilistic neural network, fuzzy neural network, DIGNET network etc. from group, and effect is better.
Other data fusion methods also have quality factor, expert system, template method, poly-analysis, statistical decision theory etc.Normally used method is determined according to concrete application, and by the complementarity between various method, often two or more Combination of Methods is carried out data fusion during actual use.In sensor network of the present invention, data fusion step is important function very, is mainly manifested in the energy of whole network, strengthens the accuracy of collected information and improve aspects such as collecting information efficiency.
Suppose that each node in sensor network all has data perception, the function of pre-processing of the information and data fusion, each sensor node to data (comprise the perception of this sensor node institute own initial data (rawdata) and receive data (inputdata) from other nodes) processing procedure and the measurement of data fusion, before transmission data, first firsthand information own to be compressed, and then deliver to aggregation node (sink) along route (namely network to be transferred to information the activity of destination address from source address).If node receives the data from other node compression format, this node first to after the data decompression received again with data fusion own, the data after fusion pass to the lower skip floor in route equally again after overcompression.
Apparatus of the present invention system is mainly divided into three parts according to operation workflow: sensor node (as wireless smog, temperature, infrared ray sensor etc.) form sensor network, tool programmable signal processor (can DSPPACDSPV3 be adopted) function and the sensing high in the clouds arithmetic element of secure localization computing function, the web server host of central monitoring system.With regard to the embodiment of actual operation: this sensing high in the clouds arithmetic element detects whole various physical data and the geometry location information of converging collected by this sensor network, as smog, temperature and infrared sensing data, when this sensing high in the clouds arithmetic element detect the smog of determining concentration or temperature exceed setting door and have abnormal personnel to enter state time, through its security mechanism differentiate and carry out blocking-up infrared signal and send warning in real time at anchor point, simultaneously by wireless network transmissions to office terminal; After the data receiver that wireless sensor node sends by the webserver of this central monitoring system again, reported to the police to administrative staff on computers by software and demonstrate barrier point (as fire alarm or not clear personnel invasion) relevant position, and add other processing capacities a little (as online with automatic sprinkler by arranging, need not action comprehensively, only for certain area protection); Install communication module additional at client wireless Smoke Sensor and form terminal equipment, realize collection and the wireless transmission of data.Based on the low-power consumption feature of ZigBee, this terminal can adopt 9V powered battery.And the webserver major function of central monitoring system comprises the wireless smog sensor terminal data of reception and warning and storage, fixed process is made to data and prints various form according to customer demand.
Means core design of the present invention is especially merged in local data, and it converges. and poly-node, before forwarding sensor node data, first merges to remove redundant information to data, the data volume of needs transmission is minimized meeting under application demand prerequisite; In net, processing and utilizing is computational resource and the storage resources of node, and its energy ezpenditure can reduce many compared with transmission data; By local computing and fusion, significantly decrease volume of transmitted data, effectively can save energy, and initial data can obtain the process determining degree in multi-hop data transmitting procedure, only send useful information, reduce the data volume needing transmission, to alleviate the congested of Internet Transmission, effectively reduce data transfer delay phenomenon.Data again by gathering multiple sensor nodes of monitoring same object carry out comprehensively, effectively to improve the accuracy and confidence of obtained information.
The present invention is calculated as architecture with high in the clouds, and object is that an intelligent wireless electrical network and environmental monitoring system are developed in usage data fusion calculation.The present invention uses ZigBee technology to design high in the clouds environmental energy monitoring, the sensing high in the clouds (SensorsCloud) of wireless family intelligent grid and immediate addressing computing system is studied, object is develop the collection and analysis and processing module of overlapping from many sensing signals, and the position in real time each for network node sensed, antitheft taking precautions against natural calamities is collected and analyzing and processing by the chip (as DSPPACDSPV3) sensing high in the clouds and high in the clouds computing with the various signal such as electric power, and result is passed through the wireless device transmissions of ZigBee-network to web server host, and can improve by radio frequency identification system (RFID) Internet of Things administrative mechanism, by center control interface surveillance controlled state.
The person of showing shown in above-described embodiment illustrates the present invention, though and be described by specific term in literary composition, when not limiting the scope of the claims of the present invention with this; The personage being familiar with technique field reaches the object of equivalence when carrying out changing to it after understanding spirit of the present invention and principle and revise, and these change and amendment, and all the claim that should be encompassed in as described later defines in category.
Claims (10)
1. the environment control method designed for framework usage data fusion calculation with high in the clouds computing, comprise: for laying most sensor nodes in monitoring environment with the surveying work of execution environment parameter and information, and be wireless network architecture with ZigBee, construction forms the sensor network with one or more measurement target projects; Set up the central monitoring system with the webserver, its function comprises the data receiving described sensor node, and performs the action comprising and report to the police and store, and can process data and print form according to customer demand; At the several aggregation node of this sensor network locations, to receive the sense data of the identical sensor node of a remittance integer measurement target, then integrate the webserver being sent to this central monitoring system;
By local data fusion means, sensor node, one of them data not yet sent of aggregation node are merged, perform transmission again to remove after redundant information makes simplifying of transmitted data amount; By sensing high in the clouds computing means, the locating information of each sensor node, aggregation node is served by administration of energy conservation and location Calculation the webserver passing this central monitoring system in real time back.
2. according to claim 1 with the environment control method of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, environmental parameter performed by this sensor node and information measurement work, its measurement target project comprises the meaning one such as electric power, temperature, humidity, brightness, acceleration, pressure, sound, cigarette, infrared ray, chemical substance or meaning combination.
3. according to claim 1 with the environment control method of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, described local data fusion means select to anticipate a kind of algorithm from weighted mean method, Kalman filtering algorithm, Bayesian Estimation, D-S evidence theory, fuzzy logic, neural net.
4. according to claim 1 with the environment control method of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, means are merged in described local data, by carrying out data fusion to the data that gather of multiple sensor nodes of the identical measurement target project of monitoring, with effectively provide the accuracy and confidence of acquisition information.
5. according to claim 1 with the environment control method of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, described local data fusion means, by to monitoring identical measurement target project and carry out data fusion with the data that multiple sensor nodes of specified scope gather, with effectively improve the accuracy and confidence of acquisition information; Wherein said specified scope comprises the definition of any one scope of scope inside and outside regional extent, altitude range, space.
6. the environmental monitoring installation designed for framework usage data fusion calculation with high in the clouds computing, comprise: most sensor nodes, be laid in the surveying work with execution environment parameter and information in wish monitoring environment, and these sensor nodes take ZigBee as wireless network architecture, construction is formed has the sensing benefit network that one or more put survey destination item, there is the central monitoring system of the webserver, be located in the radio transmission range at this transducer networking, the function of this central monitoring system comprises the data receiving described sensor node, and perform the action comprising and report to the police and store, and can process data and print form according to customer demand, a most aggregation node, is arranged in this sensor network, to receive the sense data of the identical sensor node of a remittance integer measurement target, then integrates the webserver being sent to this central monitoring system, local data's integrated unit, be arranged in this sensor network, merge with the data not yet sent sensor node and aggregation node, transmission sensing high in the clouds arithmetic element is performed again to remove after redundant information makes simplifying of transmitted data amount, be located in the radio transmission range of this sensor network, this sensing high in the clouds arithmetic element has programmable signal processor and secure localization computing function, the locating information of each sensor node, aggregation node to be passed in real time back the webserver of this central monitoring system by administration of energy conservation and location Calculation function.
7. according to claim 6 with the environmental monitoring installation of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, described transducer comprises the combination of a kind of transducers of meaning such as electric power, temperature, humidity, brightness, acceleration, pressure, sound, cigarette, infrared ray, chemical substance or meaning sensor.
8. according to claim 7 with the environmental monitoring installation of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, described local data fusion unit selects to merge from weighted mean method, Kalman filtering algorithm, Bayesian Estimation, D-S (Dempster-Shafter) evidence theory, fuzzy logic, neural net a kind of algorithm of anticipating.
9. according to claim 8 with the environmental monitoring installation of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, described local data integrated unit, that data fusion is carried out to the data that gather of multiple sensor nodes of the identical measurement target project of monitoring, with effectively improve the accuracy and confidence of acquisition information.
10. according to claim 8 with the environmental monitoring installation of high in the clouds computing for framework usage data fusion calculation design, it is characterized in that, means are merged in described local data, by to monitoring identical measurement target project and carry out data fusion with the data that multiple sensor nodes of specified scope gather, with effectively improve the accuracy and confidence of acquisition information; Wherein said specified scope comprises the definition of any one scope of scope inside and outside regional extent, altitude range, space.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107222551A (en) * | 2017-06-23 | 2017-09-29 | 东软集团股份有限公司 | A kind of data transfer and processing method, equipment, information processing centre |
CN108492506A (en) * | 2018-04-20 | 2018-09-04 | 杨春明 | A kind of inside fire early warning method and system of multisource data fusion |
CN110944065A (en) * | 2019-12-13 | 2020-03-31 | 李炳勇 | Sensor data transmission method and system based on Internet of things |
CN112214505A (en) * | 2020-10-21 | 2021-01-12 | 北京金堤征信服务有限公司 | Data synchronization method and device, computer readable storage medium and electronic equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101715242A (en) * | 2009-06-26 | 2010-05-26 | 上海海洋大学 | Intensive aquaculture wireless transmission convergent node device and information fusion method |
CN101957600A (en) * | 2009-07-16 | 2011-01-26 | 上海海洋大学 | Water quality detection wireless transmission collection node device and information fusion method |
CN202206555U (en) * | 2011-04-29 | 2012-04-25 | 中国电子器材总公司 | Things interconnection sensing cloud platform |
CN103118439A (en) * | 2013-01-18 | 2013-05-22 | 中国科学院上海微系统与信息技术研究所 | Data fusion method based on sensor network node universal middleware |
CN204089885U (en) * | 2014-08-15 | 2015-01-07 | 长春理工大学 | Wireless sensing cloud network system under a kind of large data complicated applications environment |
-
2015
- 2015-07-13 CN CN201510415208.4A patent/CN105338661A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101715242A (en) * | 2009-06-26 | 2010-05-26 | 上海海洋大学 | Intensive aquaculture wireless transmission convergent node device and information fusion method |
CN101957600A (en) * | 2009-07-16 | 2011-01-26 | 上海海洋大学 | Water quality detection wireless transmission collection node device and information fusion method |
CN202206555U (en) * | 2011-04-29 | 2012-04-25 | 中国电子器材总公司 | Things interconnection sensing cloud platform |
CN103118439A (en) * | 2013-01-18 | 2013-05-22 | 中国科学院上海微系统与信息技术研究所 | Data fusion method based on sensor network node universal middleware |
CN204089885U (en) * | 2014-08-15 | 2015-01-07 | 长春理工大学 | Wireless sensing cloud network system under a kind of large data complicated applications environment |
Non-Patent Citations (4)
Title |
---|
唐海峰,张合,李豪杰: "D_S证据理论在多传感器目标识别中的应用", 《万方数据》 * |
焦俊,操俊,潘中等: "基于物联网的农田环境在线监测系统", 《万方数据》 * |
焦俊: "基于径向基函数(RBF)和D-S证据理论的循环营养液多组分在线检测系统的研究", 《中国优秀硕士学位论文全文数据库(电子期刊)》 * |
陈鸿杰: "物联网在煤矿安全生产应用中监测与控制技术研究", 《中国优秀硕士学位论文全文数据库(电子期刊)》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107222551A (en) * | 2017-06-23 | 2017-09-29 | 东软集团股份有限公司 | A kind of data transfer and processing method, equipment, information processing centre |
CN107222551B (en) * | 2017-06-23 | 2020-03-17 | 东软集团股份有限公司 | Data transmission and processing method, equipment and information processing center |
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