Recent advancements in satellite technologies and the declining cost of access to space have led to the emergence of large satellite constellations in Low Earth Orbit(LEO).However,these constellations often rely on be...Recent advancements in satellite technologies and the declining cost of access to space have led to the emergence of large satellite constellations in Low Earth Orbit(LEO).However,these constellations often rely on bent-pipe architecture,resulting in high communication costs.Existing onboard inference architectures suffer from limitations in terms of low accuracy and inflexibility in the deployment and management of in-orbit applications.To address these challenges,we propose a cloud-native-based satellite design specifically tailored for Earth Observation tasks,enabling diverse computing paradigms.In this work,we present a case study of a satellite-ground collaborative inference system deployed in the Tiansuan constellation,demonstrating a remarkable 50%accuracy improvement and a substantial 90%data reduction.Our work sheds light on in-orbit energy,where in-orbit computing accounts for 17%of the total onboard energy consumption.Our approach represents a significant advancement of cloud-native satellite,aiming to enhance the accuracy of in-orbit computing while simultaneously reducing communication cost.展开更多
Lanzhou Institute of Physics, a subsidiary of CAST, conducted ground testing on its newly developed eddy current nondestructive testing equipment, demonstrating an important breakthrough had been made with the nondest...Lanzhou Institute of Physics, a subsidiary of CAST, conducted ground testing on its newly developed eddy current nondestructive testing equipment, demonstrating an important breakthrough had been made with the nondestructive testing of orbital spacecraft. The equipment works steadily and has met the design requirements for space applications. It was also announced by the Institute that the equipment would be used during the next lunar exploration mission to detect the status of展开更多
根据NB-IoT(narrow band internet of things)技术广覆盖、低功耗、低成本的优势,该文研制基于NB-IoT的低功耗温湿度采集器。该采集器以低功耗、性能良好的STM8L微控制器作为主控芯片,搭配低功耗的NB-IOT模组BC28和高精度温湿度传感器SH...根据NB-IoT(narrow band internet of things)技术广覆盖、低功耗、低成本的优势,该文研制基于NB-IoT的低功耗温湿度采集器。该采集器以低功耗、性能良好的STM8L微控制器作为主控芯片,搭配低功耗的NB-IOT模组BC28和高精度温湿度传感器SHT20以及具有看门狗功能的低功耗外部定时器TPL5010,定时将MCU从休眠状态唤醒并将数据上传至监测系统,在一定程度上解决传统的GPRS、ZigBee等通信技术功耗大、成本高、组网复杂的问题。为检验系统的可靠性,将采集器置于室内数周进行了空气温湿度实验,实验结果显示其具有较高的可靠性,监测数据有效上传率达99.72%。为测试系统的功耗,通过Fluke8845A数字万用表对采集器进行功耗实验,实验数据显示其功耗较低,可以实现一节锂离子电池供电长达3年以上的目标。展开更多
在人类的生产生活之中,水资源是必不可少的物质.在环境问题备受关注的现在,人们对于水质安全问题特别在意,生活用水的安全质量问题也受到了社会各界的广泛关注.为了使人们能更加直观地、简便地得知生活用水的水质状态,本文提供了一个基...在人类的生产生活之中,水资源是必不可少的物质.在环境问题备受关注的现在,人们对于水质安全问题特别在意,生活用水的安全质量问题也受到了社会各界的广泛关注.为了使人们能更加直观地、简便地得知生活用水的水质状态,本文提供了一个基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的家庭水质检测系统,并给出了该系统的整体设计方案、硬件设计、软件设计和测试结果.本系统能实时的检测家庭用水的酸碱度(pH值)、温度值和溶解性固体总量(TDS值),并通过NB-IoT通信技术实时同步到云平台.该系统功能明确、操作简洁、便于观测,具有良好的用户体验和产品商用化的应用价值.展开更多
为解决土壤重金属检测准确度较低、实时性差以及数据分散的问题,该研究设计了一种基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的土壤重金属检测仪。自主研发高准确度能量色散X射线荧光光谱仪,将测量得到的数据通过NB-Io...为解决土壤重金属检测准确度较低、实时性差以及数据分散的问题,该研究设计了一种基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的土壤重金属检测仪。自主研发高准确度能量色散X射线荧光光谱仪,将测量得到的数据通过NB-IoT实时上传到数据集成云平台。设计试验探究了该设备的最佳测试时间、预热时间。结果显示:在预热30 min后以180 s的测试时间测量样品,仪器具有最佳重复性。设计试验验证该设备的准确度,使用该设备、奥林巴斯Vanta Element-S、实验室化学方法针对同一批四川土壤进行了多次采样比较研究,结果显示:Cd、Hg、As、Pb、Zn、Cu测量值都具有较高准确度,测量As、Cr、Hg、Pb元素时比Vanta Element-S更接近真实值。测量国家标准土样,对比样品标准值,7种元素中Cr、Cu、Pb、Zn的平均相对误差非常小,分别为4.6%、7.5%、3.8%、14.2%。其余3种元素As、Cd、Hg相对误差分别为55.5%,55.7%,37.2%。该设备能够准确、稳定、实时的检测出土壤较高含量的重金属元素含量值并且将数据汇总到云平台,具有较为优异的实时性及数据集成能力,在大规模土壤检测分析场合具有一定的推广价值。展开更多
One of the most indispensable needs of life is food and its worldwide availability endorsement has made agriculture an essential sector in recent years. As the technology evolved, the need to maintain a good and suita...One of the most indispensable needs of life is food and its worldwide availability endorsement has made agriculture an essential sector in recent years. As the technology evolved, the need to maintain a good and suitable climate in the greenhouse became imperative to ensure that the indoor plants are more productive hence the agriculture sector was not left behind. That notwithstanding, the introduction and deployment of IoT technology in agriculture solves many problems and increases crop production. This paper focuses mainly on the deployment of the Internet of Things (IoT) in acquiring real- time data of environmental parameters in the greenhouse. Various IoT technologies that can be applicable in greenhouse monitoring system was presented and in the proposed model, a method is developed to send the air temperature and humidity data obtained by the DHT11 sensor to the cloud using an ESP8266-based NodeMCU and firstly to the cloud platform Thing- Speak, and then to Adafruit.IO in which MQTT protocol was used for the reception of sensor data to the application layer referred as Human-Machine Interface. The system has been completely implemented in an actual prototype, allowing the acquiring of data and the publisher/subscriber concept used for communication. The data is published with a broker’s aid, which is responsible for transferring messages to the intended clients based on topic choice. Lastly, the functionality testing of MQTT was carried out and the results showed that the messages are successfully published.展开更多
物联网(IoT)的飞速发展,使得远程抄表技术得到更进一步的发展。针对远程抄表这一问题,采用了蜂窝窄带物联网NB-IoT(Narrow Band Internet of Things)技术,解决远程抄表中吞吐率、广覆盖、低功耗、低成本、高可靠等实际问题,并对NB-IoT...物联网(IoT)的飞速发展,使得远程抄表技术得到更进一步的发展。针对远程抄表这一问题,采用了蜂窝窄带物联网NB-IoT(Narrow Band Internet of Things)技术,解决远程抄表中吞吐率、广覆盖、低功耗、低成本、高可靠等实际问题,并对NB-IoT模块进行射频测试与上位机软件设计。展开更多
Much of our daily tasks have been computerized by machines and sensors communicating with each other in real-time.There is a reasonable risk that something could go wrong because there are a lot of sensors producing a...Much of our daily tasks have been computerized by machines and sensors communicating with each other in real-time.There is a reasonable risk that something could go wrong because there are a lot of sensors producing a lot of data.Combinatorial testing(CT)can be used in this case to reduce risks and ensure conformance to specifications.Numerous existing metaheuristic-based solutions aim to assist the test suite generation for combinatorial testing,also known as t-way testing(where t indicates the interaction strength),viewed as an optimization problem.Much previous research,while helpful,only investigated a small number of interaction strengths up to t=6.For lightweight applications,research has demonstrated good fault-finding ability.However,the number of interaction strengths considered must be higher in the case of interactions that generate large amounts of data.Due to resource restrictions and the combinatorial explosion challenge,little work has been done to produce high-order interaction strength.In this context,the Whale Optimization Algorithm(WOA)is proposed to generate high-order interaction strength.To ensure that WOA conquers premature convergence and avoids local optima for large search spaces(owing to high-order interaction),three variants of WOA have been developed,namely Structurally Modified Whale Optimization Algorithm(SWOA),Tolerance Whale Optimization Algorithm(TWOA),and Tolerance Structurally Modified Whale Optimization Algorithm(TSWOA).Our experiments show that the third strategy gives the best performance and is comparable to existing state-of-thearts based strategies.展开更多
基金supported by National Natural Science Foundation of China(62032003).
文摘Recent advancements in satellite technologies and the declining cost of access to space have led to the emergence of large satellite constellations in Low Earth Orbit(LEO).However,these constellations often rely on bent-pipe architecture,resulting in high communication costs.Existing onboard inference architectures suffer from limitations in terms of low accuracy and inflexibility in the deployment and management of in-orbit applications.To address these challenges,we propose a cloud-native-based satellite design specifically tailored for Earth Observation tasks,enabling diverse computing paradigms.In this work,we present a case study of a satellite-ground collaborative inference system deployed in the Tiansuan constellation,demonstrating a remarkable 50%accuracy improvement and a substantial 90%data reduction.Our work sheds light on in-orbit energy,where in-orbit computing accounts for 17%of the total onboard energy consumption.Our approach represents a significant advancement of cloud-native satellite,aiming to enhance the accuracy of in-orbit computing while simultaneously reducing communication cost.
文摘Lanzhou Institute of Physics, a subsidiary of CAST, conducted ground testing on its newly developed eddy current nondestructive testing equipment, demonstrating an important breakthrough had been made with the nondestructive testing of orbital spacecraft. The equipment works steadily and has met the design requirements for space applications. It was also announced by the Institute that the equipment would be used during the next lunar exploration mission to detect the status of
文摘根据NB-IoT(narrow band internet of things)技术广覆盖、低功耗、低成本的优势,该文研制基于NB-IoT的低功耗温湿度采集器。该采集器以低功耗、性能良好的STM8L微控制器作为主控芯片,搭配低功耗的NB-IOT模组BC28和高精度温湿度传感器SHT20以及具有看门狗功能的低功耗外部定时器TPL5010,定时将MCU从休眠状态唤醒并将数据上传至监测系统,在一定程度上解决传统的GPRS、ZigBee等通信技术功耗大、成本高、组网复杂的问题。为检验系统的可靠性,将采集器置于室内数周进行了空气温湿度实验,实验结果显示其具有较高的可靠性,监测数据有效上传率达99.72%。为测试系统的功耗,通过Fluke8845A数字万用表对采集器进行功耗实验,实验数据显示其功耗较低,可以实现一节锂离子电池供电长达3年以上的目标。
文摘在人类的生产生活之中,水资源是必不可少的物质.在环境问题备受关注的现在,人们对于水质安全问题特别在意,生活用水的安全质量问题也受到了社会各界的广泛关注.为了使人们能更加直观地、简便地得知生活用水的水质状态,本文提供了一个基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的家庭水质检测系统,并给出了该系统的整体设计方案、硬件设计、软件设计和测试结果.本系统能实时的检测家庭用水的酸碱度(pH值)、温度值和溶解性固体总量(TDS值),并通过NB-IoT通信技术实时同步到云平台.该系统功能明确、操作简洁、便于观测,具有良好的用户体验和产品商用化的应用价值.
文摘为解决土壤重金属检测准确度较低、实时性差以及数据分散的问题,该研究设计了一种基于窄带物联网(Narrow Band Internet of Things,NB-IoT)技术的土壤重金属检测仪。自主研发高准确度能量色散X射线荧光光谱仪,将测量得到的数据通过NB-IoT实时上传到数据集成云平台。设计试验探究了该设备的最佳测试时间、预热时间。结果显示:在预热30 min后以180 s的测试时间测量样品,仪器具有最佳重复性。设计试验验证该设备的准确度,使用该设备、奥林巴斯Vanta Element-S、实验室化学方法针对同一批四川土壤进行了多次采样比较研究,结果显示:Cd、Hg、As、Pb、Zn、Cu测量值都具有较高准确度,测量As、Cr、Hg、Pb元素时比Vanta Element-S更接近真实值。测量国家标准土样,对比样品标准值,7种元素中Cr、Cu、Pb、Zn的平均相对误差非常小,分别为4.6%、7.5%、3.8%、14.2%。其余3种元素As、Cd、Hg相对误差分别为55.5%,55.7%,37.2%。该设备能够准确、稳定、实时的检测出土壤较高含量的重金属元素含量值并且将数据汇总到云平台,具有较为优异的实时性及数据集成能力,在大规模土壤检测分析场合具有一定的推广价值。
文摘One of the most indispensable needs of life is food and its worldwide availability endorsement has made agriculture an essential sector in recent years. As the technology evolved, the need to maintain a good and suitable climate in the greenhouse became imperative to ensure that the indoor plants are more productive hence the agriculture sector was not left behind. That notwithstanding, the introduction and deployment of IoT technology in agriculture solves many problems and increases crop production. This paper focuses mainly on the deployment of the Internet of Things (IoT) in acquiring real- time data of environmental parameters in the greenhouse. Various IoT technologies that can be applicable in greenhouse monitoring system was presented and in the proposed model, a method is developed to send the air temperature and humidity data obtained by the DHT11 sensor to the cloud using an ESP8266-based NodeMCU and firstly to the cloud platform Thing- Speak, and then to Adafruit.IO in which MQTT protocol was used for the reception of sensor data to the application layer referred as Human-Machine Interface. The system has been completely implemented in an actual prototype, allowing the acquiring of data and the publisher/subscriber concept used for communication. The data is published with a broker’s aid, which is responsible for transferring messages to the intended clients based on topic choice. Lastly, the functionality testing of MQTT was carried out and the results showed that the messages are successfully published.
文摘物联网(IoT)的飞速发展,使得远程抄表技术得到更进一步的发展。针对远程抄表这一问题,采用了蜂窝窄带物联网NB-IoT(Narrow Band Internet of Things)技术,解决远程抄表中吞吐率、广覆盖、低功耗、低成本、高可靠等实际问题,并对NB-IoT模块进行射频测试与上位机软件设计。
基金This work was supported by the Ministry of Education,Malaysia(FRGS/1/2019/ICT02/UKM/01/1)the Universiti Kebangsaan Malaysia(DIP-2016-024).
文摘Much of our daily tasks have been computerized by machines and sensors communicating with each other in real-time.There is a reasonable risk that something could go wrong because there are a lot of sensors producing a lot of data.Combinatorial testing(CT)can be used in this case to reduce risks and ensure conformance to specifications.Numerous existing metaheuristic-based solutions aim to assist the test suite generation for combinatorial testing,also known as t-way testing(where t indicates the interaction strength),viewed as an optimization problem.Much previous research,while helpful,only investigated a small number of interaction strengths up to t=6.For lightweight applications,research has demonstrated good fault-finding ability.However,the number of interaction strengths considered must be higher in the case of interactions that generate large amounts of data.Due to resource restrictions and the combinatorial explosion challenge,little work has been done to produce high-order interaction strength.In this context,the Whale Optimization Algorithm(WOA)is proposed to generate high-order interaction strength.To ensure that WOA conquers premature convergence and avoids local optima for large search spaces(owing to high-order interaction),three variants of WOA have been developed,namely Structurally Modified Whale Optimization Algorithm(SWOA),Tolerance Whale Optimization Algorithm(TWOA),and Tolerance Structurally Modified Whale Optimization Algorithm(TSWOA).Our experiments show that the third strategy gives the best performance and is comparable to existing state-of-thearts based strategies.
