TWI667896B - Wireless and personalized weather station system - Google Patents

Wireless and personalized weather station system Download PDF

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TWI667896B
TWI667896B TW107111677A TW107111677A TWI667896B TW I667896 B TWI667896 B TW I667896B TW 107111677 A TW107111677 A TW 107111677A TW 107111677 A TW107111677 A TW 107111677A TW I667896 B TWI667896 B TW I667896B
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environmental
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TW201943236A (en
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宋文財
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國立勤益科技大學
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Abstract

本發明係提供一種無線個人化監控氣象站系統,其主要包括:複數個環境感測模組,用以獲取多個地理位置的環境參數;一處理模組,與環境感測模組之間係以ZigBee無線傳輸協定來收發所述環境參數,再對應產生一氣象訊息;一UART介面電路,與處理模組電連接;一傳輸模組,與UART介面電路電連接,並藉由UART介面電路使傳輸模組受處理模組驅動整合;一雲端主機,係透過傳輸模組接受處理模組的氣象訊息,並建立有一雲端伺服器;以及一即需即用軟體,係掛載於雲端伺服器上,用以供一使用者透過一運算裝置造訪並讀取氣象訊息。The invention provides a wireless personalized monitoring weather station system, which mainly includes: a plurality of environmental sensing modules for acquiring environmental parameters of multiple geographical locations; a processing module, and a system between the environmental sensing modules. The ZigBee wireless transmission protocol is used to send and receive the environmental parameters, and a meteorological message is generated correspondingly; a UART interface circuit is electrically connected to the processing module; a transmission module is electrically connected to the UART interface circuit, and the UART interface circuit is used to enable The transmission module is driven and integrated by the processing module; a cloud host, which receives the weather information of the processing module through the transmission module, and establishes a cloud server; and an on-demand software, which is mounted on the cloud server , For a user to access and read weather information through a computing device.

Description

無線個人化監控氣象站系統Wireless personal monitoring weather station system

本發明係涉及一種監控氣象站系統;特別是指一種無線個人化監控氣象站系統之創新結構型態揭示者。The invention relates to a monitoring meteorological station system; in particular, it relates to an innovative structure type revealer of a wireless personalized monitoring meteorological station system.

目前世界各國的氣象觀測,都是以定點的觀測資料來代表其周圍某一範圍的氣象狀態,但是若要迅速及準確提供的相關資訊,有鑑於單一感測器節點的監測範圍與可靠性有限,因此必須在監測區域中設置大量的感測器,並視情況有時甚至需要使感測器之間的監測範圍互相交疊,形成一感測器監測網路,達到監測資訊的準確性。At present, the meteorological observations of various countries in the world do not represent the meteorological state of a certain range around them with fixed-point observation resources. However, for the relevant information to be provided quickly and accurately, the monitoring range and reliability of a single sensor node are limited. Therefore, a large number of sensors must be set in the monitoring area, and sometimes even the monitoring ranges of the sensors need to be overlapped with each other to form a sensor monitoring network to achieve the accuracy of the monitoring information.

然而,習知感測器監測網路通常以實體線路來連接,以台灣而言,由於地理環境複雜,地形特殊,難以依照前述方式來佈設感測器監測網路,而僅能設立少數幾個分散的感測器,實難確保所得資訊的正確性,故也不可能充分代表當前實際的氣象狀態,這正是目前氣象觀測方式的最大缺點。However, the conventional sensor monitoring network is usually connected by physical lines. For Taiwan, due to the complex geographical environment and the special terrain, it is difficult to arrange the sensor monitoring network in the manner described above, and only a few can be set up. Decentralized sensors are difficult to ensure the accuracy of the information obtained, so they may not fully represent the current actual meteorological state, which is the biggest disadvantage of the current meteorological observation methods.

本發明之主要目的,係在提供一種無線個人化監控氣象站系統。The main object of the present invention is to provide a wireless personalized monitoring weather station system.

基於前述目的,本發明無線個人化監控氣象站系統,主要包括:複數個環境感測模組,用以對應獲取多個地理位置的環境參數,各該環境感測模組分別具有一環境控制模組及一ZigBee無線傳輸模組,該環境控制模組用以接收匯整該環境感測模組之環境參數,而該ZigBee無線傳輸模組與該環境控制模組電連接,用以將該環境參數輸出;一處理模組,其為利用MSP430晶片之運算邏輯處理電路,該處理模組與該ZigBee無線傳輸模組之間係以ZigBee無線傳輸協定來收發所述環境參數,並利用一資料處理手段來運算其平均值,藉以提高相關數值的準確度,再對應產生一氣象訊息;一UART介面電路,與該處理模組電連接;一傳輸模組,與該UART介面電路電連接,並藉由該UART介面電路使該傳輸模組受該處理模組驅動整合;一雲端主機,係透過該傳輸模組接受該處理模組的氣象訊息,並建立有一雲端伺服器;以及一即需即用軟體,係掛載於該雲端伺服器上,用以供一使用者透過一運算裝置造訪並讀取該氣象訊息;其中,該即需即用軟體持續回傳使用者的所在地理位置至該雲端伺服器,而該雲端伺服器再經過運算而將對應其地理位置的氣象訊息傳送至該運算裝置,確保使用者所得資訊的正確性。Based on the foregoing objectives, the wireless personalized monitoring weather station system of the present invention mainly includes: a plurality of environmental sensing modules for correspondingly acquiring environmental parameters of multiple geographical locations, each of which has an environmental control module And a ZigBee wireless transmission module, the environmental control module is used to receive and aggregate the environmental parameters of the environmental sensing module, and the ZigBee wireless transmission module is electrically connected to the environmental control module to connect the environment Parameter output; a processing module, which is an arithmetic logic processing circuit using an MSP430 chip; the processing module and the ZigBee wireless transmission module use the ZigBee wireless transmission protocol to send and receive the environmental parameters, and use a data processing Means to calculate the average value, so as to improve the accuracy of the relevant values, and then generate a meteorological information correspondingly; a UART interface circuit is electrically connected to the processing module; a transmission module is electrically connected to the UART interface circuit, and The UART interface circuit enables the transmission module to be driven and integrated by the processing module; a cloud host receives the weather of the processing module through the transmission module A cloud server; and an on-demand software that is mounted on the cloud server for a user to access and read the weather information through a computing device; That is, the software continuously returns the user's geographic location to the cloud server, and the cloud server then calculates and sends the weather information corresponding to the geographic location to the computing device to ensure the correctness of the information obtained by the user.

藉此創新獨特設計,使本創作對照先前技術而言,各該環境感測模組所獲取的環境參數係透過無線傳輸至處理模組,二者之間可不受到地形及線路的阻礙,而可將該環境感測模組設置於任何位置,藉以擴大、增強其佈設的區域及密度,進而提高了該些環境參數準確性;並且針對使用者當前所在的地理位置,對應提供該地理位置的氣象訊息,確保使用者所得資訊的正確性,而特具實用進步性者。With this innovative and unique design, compared with the previous technology, the environment parameters obtained by each environmental sensing module are wirelessly transmitted to the processing module, and the two can be not obstructed by terrain and lines. The environment sensing module is set at any position, so as to expand and enhance the area and density of its deployment, thereby improving the accuracy of these environmental parameters; and according to the current geographical location of the user, correspondingly provide the weather of the geographical location. Information to ensure the correctness of the information users receive, and is particularly useful and progressive.

請參閱第1圖所示,係本發明無線個人化監控氣象站系統之較佳實施例,惟此等實施例僅供說明之用,在專利申請上並不受此結構之限制;所述無線個人化監控氣象站系統包括:複數個環境感測模組10,用以對應獲取多個地理位置的環境參數,各該環境感測模組10分別具有一環境控制模組20及一ZigBee無線傳輸模組30,該環境控制模組20用以接收匯整該環境感測模組10之環境參數,而該ZigBee無線傳輸模組30與該環境控制模組20電連接,用以將該環境參數輸出,而該環境控制模組20係利用電壓與轉換值的關係,進而求出所需的天氣數值,其公式為轉換電壓(Convertedvoltage)=轉換值(Converted value)×(參考電壓(Vref))/ (2^10-1);一處理模組40,其為利用MSP430晶片之運算邏輯處理電路,該處理模組40與該ZigBee無線傳輸模組30之間係以ZigBee無線傳輸協定來收發所述環境參數,並利用一資料處理手段來運算其平均值,藉以提高相關數值的準確度,再對應產生一氣象訊息;一UART介面電路,與該處理模組40電連接,其中,UART介面電路係採用一通用非同步收發傳輸器(Universal Asynchronous Receiver/Transmitter, UART),用來調控整合多個無線傳輸裝置之間的對應頻率,達到彈性動態地介接之效用。一傳輸模組50,與該UART介面電路電連接,並藉由該UART介面電路使該傳輸模組50受該處理模組40驅動整合;一雲端主機60,係透過該傳輸模組50接受該處理模組40的氣象訊息,並建立有一雲端伺服器;且其中,該傳輸模組50與該雲端主機60之間的發送及交換資訊係基於以下通訊協定中的一或多個:一通用串列匯流排(Universal Serial Bus, USB) 、一無線保真(Wireless Fidelity,WiFi)、一藍芽(Bluetooth)及一第四代行動通訊技術(fourth generation,4G);以及一即需即用軟體,係掛載於該雲端伺服器上,用以供一使用者透過一運算裝置70造訪並讀取該氣象訊息;其中,該即需即用軟體持續回傳使用者的所在地理位置至該雲端伺服器,而該雲端伺服器再經過運算而將對應其地理位置的氣象訊息傳送至該運算裝置70,確保使用者所得資訊的正確性。Please refer to FIG. 1, which are the preferred embodiments of the wireless personalized monitoring weather station system of the present invention, but these embodiments are for illustrative purposes only and are not limited by this structure in patent applications; the wireless The personalized monitoring weather station system includes: a plurality of environmental sensing modules 10 for correspondingly acquiring environmental parameters of multiple geographical locations, each of the environmental sensing modules 10 has an environmental control module 20 and a ZigBee wireless transmission, respectively. Module 30, the environmental control module 20 is used to receive and aggregate the environmental parameters of the environmental sensing module 10, and the ZigBee wireless transmission module 30 is electrically connected to the environmental control module 20 to use the environmental parameters Output, and the environmental control module 20 uses the relationship between voltage and converted value to obtain the required weather value. The formula is: Converted voltage = Converted value × (Reference voltage (Vref)) / (2 ^ 10-1); A processing module 40 is an arithmetic logic processing circuit using an MSP430 chip. The processing module 40 and the ZigBee wireless transmission module 30 use a ZigBee wireless transmission protocol to send and receive data to and from the office. Describe Environmental parameters, and use a data processing method to calculate the average value, so as to improve the accuracy of related values, and then generate a meteorological information correspondingly; a UART interface circuit is electrically connected to the processing module 40, wherein the UART interface circuit is A Universal Asynchronous Receiver / Transmitter (UART) is used to regulate and integrate the corresponding frequencies between multiple wireless transmission devices to achieve the effect of flexible and dynamic interfacing. A transmission module 50 is electrically connected to the UART interface circuit, and the transmission module 50 is driven and integrated by the processing module 40 through the UART interface circuit. A cloud host 60 receives the transmission through the transmission module 50 The weather information of the module 40 is processed, and a cloud server is established; and the sending and exchanging information between the transmission module 50 and the cloud host 60 is based on one or more of the following communication protocols: a universal string Universal Serial Bus (USB), a Wireless Fidelity (WiFi), a Bluetooth and a fourth generation (4G) mobile communication technology; and an on-demand software Is mounted on the cloud server for a user to access and read the weather information through a computing device 70; wherein the on-demand software continuously returns the user's geographic location to the cloud Server, and the cloud server then performs calculations to transmit weather information corresponding to its geographic location to the computing device 70 to ensure the correctness of the information obtained by the user.

其中,所述資料融合手段可選用自加權平均法、卡爾曼濾波演算法、貝葉斯估計、D-S(Dempster-Shafter)證據理論、模糊邏輯、神經網路任意一種演算法。茲針對各資料融合手段進一步說明如下:Among them, the data fusion means may be selected from a self-weighted average method, a Kalman filter algorithm, Bayesian estimation, D-S (Dempster-Shafter) evidence theory, fuzzy logic, and a neural network algorithm. The following is a further explanation of the means of data fusion:

(1)加權平均法:加權平均是一種最簡單和直觀的方法,即將多個感測器提供的冗餘資訊進行加權平均後作為融合值。該方法能即時處理動態的原始資料,但是權係數的確定具有一定的主觀性。例如對一個檢測目標進行N次檢測,其平均值 為: , kj為分配給第i次檢測的權數。 (1) Weighted average method: The weighted average method is the simplest and intuitive method. The redundant information provided by multiple sensors is weighted and averaged as the fusion value. This method can process dynamic raw data in real time, but the determination of the weight coefficient is subjective. For example, N detections are performed on a detection target, and the average value is for: , Kj is the weight assigned to the i-th detection.

(2)卡爾曼濾波演算法:卡爾曼濾波演算法可以即時融合動態低級的冗餘數據,對線性系統的系統雜訊和感測器雜訊可以用高斯白雜訊來建模,則卡爾曼濾波可以提供唯一的統計意義上的最優融合值,並且在濾波過程中不需要大量的存儲空間,可以即時處理。(2) Kalman filter algorithm: The Kalman filter algorithm can fuse dynamic low-level redundant data in real time. The system noise and sensor noise of a linear system can be modeled with Gaussian white noise. Then Kalman Filtering can provide a unique statistically optimal fusion value, and does not require a large amount of storage space in the filtering process, and can be processed immediately.

(3)貝葉斯估計:貝葉斯估計是將各種不確定資訊表示成概率,將相互獨立的決策看作一個樣本空間的劃分,使用貝葉斯條件概率公式進行處理,最後系統的決策可由某些規則給出。缺點是需要目標的先驗概率並且計算複雜。(3) Bayesian estimation: Bayesian estimation represents various uncertain information as probabilities, and treats independent decisions as a division of a sample space. It is processed using the Bayesian conditional probability formula. Some rules are given. The disadvantage is that the prior probability of the target is required and the calculation is complicated.

(4)D-S(Dempster-Shafter)證據理論:是目前資料融合技術中比較常用的一種方法,該方法通常用來表示對於檢測目標的大小、位置以及存在與否進行推斷。根據人的推理模式,採用了概率區間和不確定區間來決定多證據下假設的似然函數來進行推理。由各種感測器檢測到的資訊提取的特徵參數構成了該理論中的證據,利用這些證據構造相應的基本概率分佈函數,對於所有的命題賦予一個信任度。基本概率分佈函數及其相應的分辨框合稱為一個證據體。因此,每個感測器就相當於一個證據體。多個感測器資料融合,實質上就是在同一分辨框下,利用Dempster合併規則將各個證據體合併成一個新的證據體。產生新證據體的過程就是D-S法資料融合。(4) D-S (Dempster-Shafter) evidence theory: It is a commonly used method in current data fusion technology. This method is usually used to express the inference of the size, position and existence of the detection target. According to the human reasoning model, the probability interval and uncertainty interval are used to determine the likelihood function hypothesized under multiple evidence for reasoning. The feature parameters extracted from the information detected by various sensors constitute the evidence in this theory. These evidences are used to construct the corresponding basic probability distribution functions and give a degree of trust to all propositions. The basic probability distribution function and its corresponding resolution frame are called a body of evidence. Therefore, each sensor is equivalent to a body of evidence. The fusion of multiple sensor data is essentially a combination of each evidence body into a new evidence body using the Dempster merge rule under the same discrimination frame. The process of generating a new body of evidence is the D-S method data fusion.

(5)模糊邏輯:針對資料融合中所檢測的目標特徵具有某種模糊性的現象,有人利用模糊邏輯方法來對檢測目標進行識別和分類。建立標準檢測目標和待識別檢測目標的模糊子集是此方法的研究基礎。但模糊子集的建立需要有各種各樣的標準檢測目標,同時又必須建立合適的隸屬函數。而確定隸屬函數比較麻煩,目前還沒有規範的方法可遵循。又由於標準檢測目標子集的建立受到各種條件的限制,往往誤差較大。基於規則推理的方法還有證據推理、產生式規則等。(5) Fuzzy logic: For the phenomenon that the target features detected in data fusion have some ambiguity, some people use fuzzy logic methods to identify and classify detection targets. The establishment of fuzzy subsets of standard detection targets and detection targets to be identified is the research basis of this method. However, the establishment of fuzzy subsets requires various standard detection targets, and at the same time, appropriate membership functions must be established. It is more troublesome to determine the membership function, and there is no standard method to follow. And because the establishment of the standard detection target subset is restricted by various conditions, the error is often large. Rules-based reasoning methods also include evidence reasoning, production rules, and so on.

(6)神經網路:神經網路是由大量廣泛互聯的處理單元連接而成的,它是在現代神經生物學和認知科學對人類資訊處研究成果的基礎上提出的。在信號處理機制上,它與傳統的數位電腦有根本的區別,它具有大規模並行模擬處理,連續時間動力學和網路全局作用等特點,儲存體和操作合而為一。神經網路具有很強的自適應學習理論,從而可以替代複雜耗時的傳統演算法,使信號處理過程更接近人類思維活動。利用神經網路的高速並行運算能力,可以即時實現難以用電腦技術實現的最優信號處理演算法;利用神經網路分散式資訊存儲和並行處理的特點,可以避開模式識別方法中建模和特徵提取的過程,從而消除由於模型不符和特徵選擇不當帶來的影響,並實現即時識別,以提高識別系統的性能。神經網路的基本原理這裏就不再贅述。根據資料,神經網路在資料融合中已有多方面的應用,所應用的網路模型有自組織映射網路、BP網路、概率神經網路、模糊神經網路、DIGNET網路等,應用效果較好。(6) Neural network: The neural network is connected by a large number of widely interconnected processing units. It is based on the research results of modern neurobiology and cognitive science on the Human Information Service. In terms of signal processing mechanism, it is fundamentally different from traditional digital computers. It has the characteristics of large-scale parallel analog processing, continuous-time dynamics, and global network functions. The storage and operation are combined into one. The neural network has a strong adaptive learning theory, which can replace the complex and time-consuming traditional algorithms and make the signal processing process closer to human thinking activities. Utilizing the high-speed parallel computing capabilities of neural networks, real-time optimal signal processing algorithms that are difficult to achieve with computer technology can be realized; using the characteristics of neural network decentralized information storage and parallel processing, modelling and pattern recognition methods can be avoided. Feature extraction process, thereby eliminating the impact caused by model mismatch and improper feature selection, and real-time recognition to improve the performance of the recognition system. The basic principles of neural networks are not repeated here. According to the data, neural networks have been applied in many aspects in data fusion. The applied network models include self-organizing mapping networks, BP networks, probabilistic neural networks, fuzzy neural networks, and DIGNET networks. The effect is better.

其他資料融合方法還有品質因數、專家系統、範本方法、聚分析、統計決策理論等等。通常使用的方法依具體的應用而定,並且由於各種方法之間的互補性,實際使用時經常將兩種或兩種以上方法組合進行資料融合。本發明所述感測器網路中,資料融合步驟十分重要作用,主要表現在整個網路的能量、增強所收集資訊的準確性以及提高收集資訊效率等方面。Other data fusion methods include quality factor, expert system, template method, cluster analysis, statistical decision theory, and so on. The commonly used method depends on the specific application, and due to the complementarity between the various methods, two or more methods are often combined for data fusion in actual use. In the sensor network according to the present invention, the data fusion step plays a very important role, which is mainly reflected in the energy of the entire network, enhancing the accuracy of the collected information, and improving the efficiency of collecting information.

在本例中,各該環境感測模組10可為但不限於一溫濕度感測模組、一雨水感測模組、一紫外線感測模組或一風速感測模組其中一者或其組合。據此,該些環境參數所表示的數據可為下列方式:攝氏℃、相對溼度%、劃分為11個等級的紫外線輻射強度、風速 (Km/H)以及區分為沒下雨、小雨、大雨及豪雨四種等級的雨勢參數。In this example, each of the environmental sensing modules 10 may be, but is not limited to, one of a temperature and humidity sensing module, a rainwater sensing module, an ultraviolet sensing module, or a wind speed sensing module or Its combination. According to this, the data represented by these environmental parameters can be in the following ways: ° C, relative humidity%, ultraviolet radiation intensity divided into 11 levels, wind speed (Km / H), and divided into no rain, light rain, heavy rain and Heavy rain parameters for four levels of heavy rain.

此外,該傳輸模組50與該運算裝置70更可利用以下通訊協定中的一或多個來發送及交換資訊:一通用串列匯流排(Universal Serial Bus, USB) 、一無線保真(Wireless Fidelity,WiFi)、一藍芽(Bluetooth)及一第四代行動通訊技術(fourth generation,4G)。In addition, the transmission module 50 and the computing device 70 can use one or more of the following communication protocols to send and exchange information: a universal serial bus (USB), and a wireless fidelity (Wireless Fidelity (WiFi), a Bluetooth (Bluetooth) and a fourth generation mobile communication technology (fourth generation (4G).

藉由上述結構組成設計,茲就本發明之使用作動情形說明如下:(1)複數個環境感測模組10對應獲取多個地理位置的環境參數,該環境控制模組20用以接收匯整該環境感測模組10之環境參數,而該ZigBee無線傳輸模組30與該環境控制模組20電連接,用以將該環境參數輸出;(2)該ZigBee無線傳輸模組30與該處理模組40之間係以ZigBee無線傳輸協定來收發所述環境參數,而該處理模組40利用所述資料處理手段來運算其平均值,藉以提高相關數值的準確度,再對應產生氣象訊息;(3)該處理模組40電連接於所述UART介面電路,並藉由該UART介面電路使該傳輸模組50受該處理模組40驅動整合;(4)該傳輸模組50傳送該處理模組40的氣象訊息至該雲端主機60;(5)該雲端伺服器上掛載有該即需即用軟體,使用者透過運算裝置70造訪並讀取該氣象訊息;(6)該即需即用軟體持續回傳使用者的所在地理位置至該雲端伺服器,而該雲端伺服器再經過運算而將對應其地理位置的氣象訊息傳送至該 運算裝置70,確保使用者所得資訊的正確性。Based on the above structural composition design, the operation of the present invention is described as follows: (1) A plurality of environmental sensing modules 10 correspondingly acquire environmental parameters of multiple geographical locations, and the environmental control module 20 is configured to receive the aggregation The environmental parameters of the environmental sensing module 10, and the ZigBee wireless transmission module 30 is electrically connected to the environmental control module 20 for outputting the environmental parameters; (2) the ZigBee wireless transmission module 30 and the processing The modules 40 use the ZigBee wireless transmission protocol to send and receive the environmental parameters, and the processing module 40 uses the data processing means to calculate the average value, so as to improve the accuracy of the relevant values and generate corresponding meteorological information. (3) the processing module 40 is electrically connected to the UART interface circuit, and the transmission module 50 is driven and integrated by the processing module 40 through the UART interface circuit; (4) the transmission module 50 transmits the processing The weather information of the module 40 is sent to the cloud host 60; (5) The on-demand software is mounted on the cloud server, and the user accesses and reads the weather information through the computing device 70; (6) the on-demand Out-of-the-box software Continued return to the location where the user's cloud server, and the server cloud and then through a corresponding operation on its geographic location, weather message transmitted to the arithmetic unit 70, to ensure the correctness of the obtained user information.

10‧‧‧環境感測模組10‧‧‧Environmental Sensing Module

20‧‧‧環境控制模組20‧‧‧environment control module

30‧‧‧ZigBee無線傳輸模組30‧‧‧ZigBee wireless transmission module

40‧‧‧處理模組40‧‧‧Processing Module

50‧‧‧傳輸模組50‧‧‧Transmission Module

60‧‧‧雲端主機60‧‧‧ Cloud Hosting

70‧‧‧運算裝置70‧‧‧ computing device

第1圖係本創作較佳實施例之示意圖。FIG. 1 is a schematic diagram of a preferred embodiment of the present invention.

Claims (8)

一種無線個人化監控氣象站系統,其係用於針對使用者當前所在的地理位置及個人化需求,對應提供該地理位置的相應氣象訊息,以利於使用者針對氣象的變化,做出相對的因應措施;該無線個人化監控氣象站系統,包括:複數個環境感測模組,用以對應獲取多個地理位置的環境參數,各該環境感測模組分別具有一環境控制模組及一ZigBee無線傳輸模組,該環境控制模組用以接收匯整該環境感測模組之環境參數,而該ZigBee無線傳輸模組與該環境控制模組電連接,用以將該環境參數輸出;一處理模組,其為利用MSP430晶片之運算邏輯處理電路,該處理模組與該ZigBee無線傳輸模組之間係以ZigBee無線傳輸協定來收發所述環境參數,並利用一資料處理手段來運算其平均值,藉以提高相關數值的準確度,再對應產生一氣象訊息;一UART介面電路,與該處理模組電連接;一傳輸模組,與該UART介面電路電連接,並藉由該UART介面電路使該傳輸模組受該處理模組驅動整合;一雲端主機,係透過該傳輸模組接受該處理模組的氣象訊息,並建立有一雲端伺服器;以及一即需即用軟體,係掛載於該雲端伺服器上,用以供一使用者透過一運算裝置造訪並讀取該氣象訊息;其中,該即需即用軟體持續回傳使用者的所在地理位置至該雲端伺服器,而該雲端伺服器再經過運算而將對應其地理位置的氣象訊息傳送至該運算裝置,確保使用者所得資訊的正確性。A wireless personalized monitoring weather station system is provided for the user's current geographic location and personalized needs, and provides corresponding weather information for the geographic location, so that the user can respond to changes in the weather and respond accordingly. Measures; the wireless personalized monitoring weather station system includes: a plurality of environmental sensing modules for correspondingly acquiring environmental parameters of multiple geographical locations, each of which has an environmental control module and a ZigBee A wireless transmission module, the environmental control module is configured to receive and aggregate environmental parameters of the environmental sensing module, and the ZigBee wireless transmission module is electrically connected to the environmental control module to output the environmental parameters; A processing module is an arithmetic logic processing circuit using an MSP430 chip. The processing module and the ZigBee wireless transmission module use the ZigBee wireless transmission protocol to send and receive the environmental parameters, and use a data processing method to calculate the environmental parameters. The average value is used to improve the accuracy of related values, and a meteorological message is generated correspondingly; a UART interface circuit is electrically connected to the processing module A transmission module electrically connected to the UART interface circuit, and using the UART interface circuit to enable the transmission module to be driven and integrated by the processing module; and a cloud host to receive the processing module through the transmission module And a cloud server; and an on-demand software is mounted on the cloud server for a user to access and read the weather information through a computing device; wherein, the That is, the software needs to continuously return the user's geographic location to the cloud server, and the cloud server then calculates and sends the weather information corresponding to the geographic location to the computing device to ensure that the information obtained by the user is correct Sex. 如申請專利範圍第1項所述之無線個人化監控氣象站系統,其中所述資料處理手段係選用自加權平均法、卡爾曼濾波演算法、貝葉斯估計、D-S(Dempster-Shafter)證據理論、模糊邏輯、神經網路任意一種演算法。The wireless personalized monitoring weather station system described in the first item of the scope of the patent application, wherein the data processing means is a self-weighted average method, Kalman filter algorithm, Bayesian estimation, DS (Dempster-Shafter) evidence theory , Fuzzy logic, neural network algorithm. 如申請專利範圍第2項所述之無線個人化監控氣象站系統,其中各該環境感測模組可為但不限於一溫濕度感測模組、一雨水感測模組、一紫外線感測模組或一風速感測模組其中一者或其組合。According to the wireless personalized monitoring weather station system described in the second item of the patent application scope, each of the environmental sensing modules may be, but not limited to, a temperature and humidity sensing module, a rainwater sensing module, and an ultraviolet sensing device. One of the modules or a wind speed sensing module or a combination thereof. 如申請專利範圍第3項所述之無線個人化監控氣象站系統,其中該傳輸模組與該雲端主機之間的發送及交換資訊係基於以下通訊協定中的一或多個:一通用串列匯流排(Universal Serial Bus,USB)、一無線保真(Wireless Fidelity,WiFi)、一藍芽(Bluetooth)及一第四代行動通訊技術(fourth generation,4G)。The wireless personalized monitoring weather station system as described in item 3 of the scope of patent application, wherein the transmission and exchange information between the transmission module and the cloud host is based on one or more of the following communication protocols: a universal serial A bus (Universal Serial Bus (USB)), a wireless fidelity (WiFi), a Bluetooth (Bluetooth) and a fourth generation mobile communication technology (4G). 一種使用申請專利範圍第1項所述無線個人化監控氣象站系統執行的無線個人化監控氣象站之方法,包含下列步驟:(1)複數個環境感測模組對應獲取多個地理位置的環境參數,各該環境感測模組分別具有一環境控制模組及一ZigBee無線傳輸模組,該環境控制模組用以接收匯整該環境感測模組之環境參數,而該ZigBee無線傳輸模組與該環境控制模組電連接,用以將該環境參數輸出;(2)該ZigBee無線傳輸模組與一處理模組之間係以ZigBee無線傳輸協定來收發所述環境參數,而該處理模組利用一資料處理手段來運算其平均值,藉以提高相關數值的準確度,再對應產生一氣象訊息;(3)該處理模組電連接於一UART介面電路,並藉由該UART介面電路使一傳輸模組受該處理模組驅動整合;(4)該傳輸模組傳送該處理模組的氣象訊息至一雲端主機,而該雲端主機建立有一雲端伺服器;(5)該雲端伺服器上掛載有一即需即用軟體,供一使用者透過一運算裝置造訪並讀取該氣象訊息;(6)該即需即用軟體持續回傳使用者的所在地理位置至該雲端伺服器,而該雲端伺服器再經過運算而將對應其地理位置的氣象訊息傳送至該運算裝置,確保使用者所得資訊的正確性。A method for using a wireless personalized monitoring weather station implemented by the wireless personalized monitoring weather station system described in item 1 of the scope of patent application, comprising the following steps: (1) a plurality of environmental sensing modules corresponding to obtain the environment of multiple geographical locations Parameters, each environmental sensing module has an environmental control module and a ZigBee wireless transmission module, the environmental control module is used to receive and aggregate the environmental parameters of the environmental sensing module, and the ZigBee wireless transmission module The group is electrically connected to the environmental control module for outputting the environmental parameters; (2) The ZigBee wireless transmission module and a processing module use the ZigBee wireless transmission protocol to send and receive the environmental parameters, and the processing The module uses a data processing method to calculate its average value, so as to improve the accuracy of related values, and then generate a meteorological information correspondingly; (3) the processing module is electrically connected to a UART interface circuit, and the UART interface circuit is used A transmission module is driven and integrated by the processing module; (4) The transmission module transmits weather information of the processing module to a cloud host, and the cloud host establishes a cloud server ; (5) the cloud server has an on-demand software for a user to access and read the weather information through a computing device; (6) the on-demand software continuously returns the user's location To the cloud server, and the cloud server then calculates and sends the weather information corresponding to its geographic location to the computing device to ensure the correctness of the information obtained by the user. 如申請專利範圍第5項所述之無線個人化監控氣象站之方法,其中所述資料處理手段係選用自加權平均法、卡爾曼濾波演算法、貝葉斯估計、D-S(Dempster-Shafter)證據理論、模糊邏輯、神經網路任意一種演算法。The method for wirelessly monitoring a weather station as described in item 5 of the scope of the patent application, wherein the data processing method is a self-weighted average method, Kalman filter algorithm, Bayesian estimation, DS (Dempster-Shafter) evidence Any algorithm of theory, fuzzy logic, neural network. 如申請專利範圍第6項所述之無線個人化監控氣象站之方法,其中各該環境感測模組可為但不限於一溫濕度感測模組、一雨水感測模組、一紫外線感測模組或一風速感測模組其中一者或其組合。The method for wirelessly monitoring a weather station as described in item 6 of the scope of patent application, wherein each of the environmental sensing modules may be, but is not limited to, a temperature and humidity sensing module, a rainwater sensing module, and an ultraviolet sensor. One or a combination of a measurement module or a wind speed sensing module. 如申請專利範圍第7項所述之無線個人化監控氣象站之方法,其中該傳輸模組與該雲端主機之間的發送及交換資訊係基於以下通訊協定中的一或多個:一通用串列匯流排(Universal Serial Bus,USB)、一無線保真(Wireless Fidelity,WiFi)、一藍芽(Bluetooth)及一第四代行動通訊技術(fourth generation,4G)。The method for wirelessly monitoring a weather station as described in item 7 of the scope of patent application, wherein the transmission and exchange information between the transmission module and the cloud host is based on one or more of the following communication protocols: a universal string The bus (Universal Serial Bus (USB)), a wireless fidelity (WiFi), a Bluetooth (Bluetooth) and a fourth generation mobile communication technology (fourth generation (4G)).
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