TWI401624B - System for detecting and controlling multiple hazards and the method thereof - Google Patents
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Description
本發明係關於一種危害偵測及控制系統及其方法,特別涉及可偵測和控制多重危害態樣的系統及方法。The present invention relates to a hazard detection and control system and method thereof, and more particularly to a system and method for detecting and controlling multiple hazard patterns.
為因應居家及城市環境安全,監控系統的設置需求迅速地增加。在目前的數位監控系統中,主要分為以電腦伺服器操控為基礎之架構,以及單機型操作架構兩大類型。In response to the safety of home and urban environments, the demand for monitoring systems has increased rapidly. In the current digital monitoring system, it is mainly divided into two types: architecture based on computer server control and single-machine operation architecture.
前者易於開發與更新,加上網路功能及介面擴充功能強大,對於所監測到的資料通常具有基礎的內容分析能力,因此適於執行複雜而多樣化的監控作業。反之,後者則多以單晶片、專用電路或數位訊號處理器搭配韌體及其他儲存設備運作,具有結構簡單、效能穩定的特色,較適合長時間性、穩定性高的環境執行特定監控作業。The former is easy to develop and update, and with powerful network functions and interface expansion, it has basic content analysis capabilities for the monitored data, so it is suitable for performing complex and diverse monitoring operations. On the other hand, the latter is mostly operated by a single chip, a dedicated circuit or a digital signal processor with firmware and other storage devices. It has the characteristics of simple structure and stable performance, and is suitable for performing specific monitoring operations in an environment with long time and high stability.
本發明的目的係為了提供一種多重危害偵測系統及其方法,用以對同一個受偵測的地點,同時判斷多種不同危害態樣發生與否並加以警示,以便在不增加人力成本的前提下,全面性地保障受偵測地點的人身及財物安全。The purpose of the present invention is to provide a multiple hazard detection system and method for simultaneously detecting and detecting a plurality of different hazard situations for the same detected location, so as not to increase the labor cost. Under the full protection of the personal and property safety of the sites tested.
為了達成上述目的,根據本發明的其中一項方案,提供一種多重危害偵測及控制系統,用以控制防災設施執行防止危害的措施,防災設施包括一第一防災裝置及一第二防災裝置。該系統包括:一偵測裝置和一控制中心。偵測裝置包括:擷取受測地點之偵測影像的一影像擷取單元;一分析模組根據複數種影像分析邏輯分別分析偵測影像,並依照各影像分析邏輯分析的結果產生一影像分析資訊,用以指出受測地點是否發生危害態樣;其中,影像分析邏輯包括一人體影像分析邏輯,用以分析偵測影像是否包括人體影像,且影像分析資訊包括人體影像資訊,用以指示人體影像分析邏輯的分析結果;一警示單元,根據影像分析資訊,於受測地點發生危害態樣時,產生包括人體影像資訊的一警示訊息;及一傳輸單元輸出警示訊息。控制中心接收及解讀警示訊息,並根據警示訊息啟動防災設施。其中,人體影像資訊指示出偵測影像包括人體影像時,控制中心啟動第一防災裝置,反之則啟動第二防災裝置。In order to achieve the above object, according to one aspect of the present invention, a multiple hazard detection and control system for controlling a disaster prevention facility to perform a hazard prevention measure is provided. The disaster prevention facility includes a first disaster prevention device and a second disaster prevention device. The system includes: a detecting device and a control center. The detecting device comprises: an image capturing unit that captures the detected image of the tested location; and an analysis module separately analyzes the detected image according to the plurality of image analysis logics, and generates an image analysis according to the results of each image analysis logic analysis Information to indicate whether the tested location is in a hazardous state; wherein the image analysis logic includes a human body image analysis logic for analyzing whether the detected image includes a human body image, and the image analysis information includes human body image information for indicating the human body The analysis result of the image analysis logic; a warning unit, according to the image analysis information, generates a warning message including human body image information when a hazardous situation occurs at the tested place; and a transmission unit outputs a warning message. The control center receives and interprets the warning message and activates the disaster prevention facility based on the warning message. Wherein, when the human body image information indicates that the detected image includes the human body image, the control center starts the first disaster prevention device, and vice versa, activates the second disaster prevention device.
為了達成上述目的,根據本發明的另一項方案,提供另一種多重危害偵測及控制系統,用以控制一防災設施執行防止危害的措施,該防災設施包括一第一防災裝置及一第二防災裝置,該系統包括:一偵測裝置和一控制中心。In order to achieve the above object, according to another aspect of the present invention, another multi-hazard detection and control system is provided for controlling a disaster prevention facility to perform a hazard prevention measure, the disaster prevention facility including a first disaster prevention device and a second The disaster prevention device comprises: a detecting device and a control center.
其中,偵測裝置包括:擷取受測地點之偵測影像的一影像擷取單元、感測受測地點之環境變數的一感測單元,以及包括一影像分析模組及一變數分析模組的一分析模組。影像分析模組根據複數種影像分析邏輯分別分析偵測影像,並依照分析的結果產生一影像分析資訊;其中,影像分析邏輯包括一人體影像分析邏輯,用以分析該偵測影像是否包括一人體影像,且影像分析資訊包括一人體影像資訊,用以指示人體影像分析邏輯的分析結果;變數分析模組根據至少一變數分析邏輯分析環境變數,並依照分析的結果產生一變數分析資訊;其中,分析模組依據影像分析資訊及變數分析資訊產生一危害分析資訊,用以判斷受測地點是否發生一危害態樣。偵測裝置還包括:一警示單元,根據危害分析資訊,於受測地點發生危害態樣時,產生包括人體影像資訊的一警示訊息;及一傳輸單元,輸出警示單元發送之警示訊息到控制中心。控制中心接收及解讀警示訊息,以啟動防災設施。其中,人體影像資訊指示出偵測影像包括人體影像時,控制中心啟動第一防災裝置,反之則啟動第二防災裝置。The detecting device includes: an image capturing unit that captures the detected image of the tested site, a sensing unit that senses the environmental variable of the measured site, and includes an image analyzing module and a variable analysis module. An analysis module. The image analysis module separately analyzes the detected image according to the plurality of image analysis logics, and generates an image analysis information according to the analysis result; wherein the image analysis logic includes a human body image analysis logic for analyzing whether the detected image includes a human body The image analysis information includes a human body image information for indicating an analysis result of the human body image analysis logic; the variable analysis module analyzes the environmental variables according to the at least one variable analysis logic, and generates a variable analysis information according to the analysis result; wherein The analysis module generates a hazard analysis information based on the image analysis information and the variable analysis information to determine whether a hazardous situation occurs at the tested location. The detecting device further includes: a warning unit, according to the hazard analysis information, generating a warning message including human body image information when the dangerous situation occurs at the tested location; and a transmission unit outputting the warning message sent by the warning unit to the control center . The control center receives and interprets the warning message to activate the disaster prevention facility. Wherein, when the human body image information indicates that the detected image includes the human body image, the control center starts the first disaster prevention device, and vice versa, activates the second disaster prevention device.
為了達成上述目的,根據本發明的另一項方案,再提供一種多重危害偵測及控制方法,具有一偵測裝置及一控制中心,包括:偵測裝置接收一受測地點之偵測影像;偵測裝置以複數種影像分析邏輯分別分析偵測影像,其中,影像分析邏輯包括一人體影像分析邏輯,用以分析偵測影像是否包括一人體影像,且影像分析資訊包括一人體影像資訊,用以指示人體影像分析邏輯的分析結果;根據影像分析邏輯分別分析所獲得的結果,產生一影像分析資訊,用以指出受測地點是否發生一危害態樣,其中,影像分析資訊包括人體影像資訊;偵測裝置依據分析的結果判斷受測地點是否發生危害態樣;當偵測裝置判斷出受測地點發生危害態樣時,發送一警示訊息,警示訊息中包括人體影像資訊;控制中心接收及解讀警示訊息,並根據人體影像資訊而啟動一第一防災裝置或一第二防災裝置,以防止危害態樣。In order to achieve the above object, in accordance with another aspect of the present invention, a multi-hazard detection and control method is provided, including a detecting device and a control center, including: the detecting device receiving a detected image of a measured location; The detection device separately analyzes the detected image by using a plurality of image analysis logics, wherein the image analysis logic includes a human body image analysis logic for analyzing whether the detected image includes a human body image, and the image analysis information includes a human body image information, The analysis result of the human body image analysis logic is analyzed; the obtained result is separately analyzed according to the image analysis logic, and an image analysis information is generated to indicate whether a harmful state occurs in the tested place, wherein the image analysis information includes human body image information; The detecting device determines whether the tested location is in a hazardous state according to the result of the analysis; when the detecting device determines that the detected location is in a dangerous state, it sends a warning message, the warning message includes human body image information; the control center receives and interprets Alert messages and initiate a first disaster prevention based on human image information Disaster prevention means or a second device to prevent hazardous aspects.
關於本發明之技術手段的詳細說明,請參閱以下的實施方式,並配合所附圖式一併參照。For a detailed description of the technical means of the present invention, refer to the following embodiments, and refer to the accompanying drawings.
本發明係為了協助使用者偵測和防範威脅到一受測地點之安全的危害態樣,而提供一種可同時探測多種危害態樣的偵測及控制機制。The present invention provides a detection and control mechanism for simultaneously detecting multiple hazard situations in order to assist the user in detecting and preventing the hazard that threatens the safety of a tested location.
第一圖顯示了本發明的一種多重危害偵測及控制系統第一實施例方塊圖,所述的多重危害偵測及控制系統(以下簡稱偵測及控制系統)1包括:一偵測裝置10及一控制中心20。偵測裝置10可依照需要設置於每一個需要接收危害偵測和預警的受測地點,以偵測受測地點是否有至少一種危害態樣的產生,例如:水患、火災、非法入侵等。每一偵測裝置10皆連接到控制中心20,以便於偵測到危害的發生時,可通知控制中心20進行必要的應對措施。The first figure shows a block diagram of a first embodiment of a multiple hazard detection and control system of the present invention. The multiple hazard detection and control system (hereinafter referred to as a detection and control system) 1 includes: a detecting device 10 And a control center 20. The detecting device 10 can be disposed at each tested location that needs to receive the hazard detection and early warning as needed to detect whether the detected location has at least one hazard, such as a flood, a fire, an illegal intrusion, and the like. Each detecting device 10 is connected to the control center 20 to notify the control center 20 of the necessary countermeasures when the occurrence of the hazard is detected.
偵測裝置10包括:一影像擷取單元100、一分析模組102、一警示單元104、一傳輸單元106及一記憶單元108。影像擷取單元100可為一攝影裝置,用以定時或連續擷取一受測地點(如倉庫或廠房)的一偵測影像,傳送給分析模組102進行影像的分析辨識,以及將擷取到的偵測影像傳送到記憶單元108中記錄。分析模組102讀取記錄在記憶單元108中的複數種影像分析邏輯,分別將偵測影像套用各個影像分析邏輯進行分析和計算處理。影像分析邏輯中可包括:火災影像分析邏輯、水災影像分析邏輯及入侵影像分析邏輯等多種演算邏輯,分別用於辨識受測地點是否發生火災、水災或人員非法入侵等危害態樣。The detecting device 10 includes an image capturing unit 100, an analyzing module 102, an alerting unit 104, a transmitting unit 106, and a memory unit 108. The image capturing unit 100 can be a photographic device for periodically or continuously capturing a detected image of a measured location (such as a warehouse or a factory building), transmitting it to the analysis module 102 for image analysis and identification, and capturing the image. The detected image is transferred to the memory unit 108 for recording. The analysis module 102 reads a plurality of image analysis logics recorded in the memory unit 108, and respectively analyzes and calculates the detected images by using various image analysis logics. The image analysis logic may include various algorithms such as fire image analysis logic, flood image analysis logic and intrusion image analysis logic, which are used to identify whether a fire, flood or illegal invasion of a person is detected in the tested place.
分析模組102根據不同的影像分析邏輯一一對接收到的偵測影像進行運算處理後,將產生一影像分析資訊。影像分析資訊綜合所有執行過的分析邏輯的結論,用以判斷受測地點是否發生或即將發生偵測裝置10所偵測的其中任一種危害態樣。當分析模組102根據影像分析資訊判斷出該地點產生了至少一種危害態樣時,將控制警示單元104產生一個對應於影像分析資訊的警示訊息,再透過傳輸單元106,傳送到控制中心20以供處理。警示訊息中包括所產生的危害態樣的類別,用以供控制中心20決定啟動何種防災設施;此外還包括偵測裝置10的識別資訊,以供控制中心20確認偵測裝置10所偵測的受測地點所在。The analysis module 102 performs an operation process on a pair of received detection images according to different image analysis logics, and generates an image analysis information. The image analysis information synthesizes the conclusions of all the executed analysis logics to determine whether any of the hazard patterns detected by the detecting device 10 are occurring or are about to occur. When the analysis module 102 determines that the location has generated at least one hazard based on the image analysis information, the control alert unit 104 generates a warning message corresponding to the image analysis information, and transmits the signal to the control center 20 through the transmission unit 106. For processing. The warning message includes a category of the generated hazard type for the control center 20 to determine which disaster prevention facility to activate; and further includes the identification information of the detecting device 10 for the control center 20 to confirm that the detecting device 10 detects The location of the test site.
本例中的分析模組102係利用影像分析的技術,配合多種不同的影像分析邏輯,可對一張偵測影像中所呈現的圖像畫面進行多種演算,以偵知不同危害態樣;相較於已知用來偵測單一態樣的探測裝置,更能周延地維護受測地點的安全。The analysis module 102 in this example uses image analysis technology and a variety of different image analysis logics to perform various calculations on image images presented in a single detected image to detect different hazard patterns; Compared with the detection device known to detect a single aspect, it is more convenient to maintain the safety of the tested location.
控制中心20可連結同一區域(例如同一棟大樓)中設置在不同受測地點的偵測裝置10、以及設置在各個偵測裝置10附近的防災設備30。控制中心20根據警示訊息中所附的訊號及資訊內容,得知該區域中何處之偵測裝置探測到危害的發生,以便啟動設置在該探測裝置附近的防災設施30,例如用於撲滅火災的灑水器或滅火噴霧、防堵水災的防水閘門、或是蜂鳴器及警示燈等設備。此外,控制中心20也經常連接到一保全中心的監控主機40,以便保全人員也接收到相關的危害發生資訊,以進行必要的處置。The control center 20 can connect the detecting device 10 disposed at different tested locations in the same area (for example, the same building), and the disaster prevention device 30 disposed in the vicinity of each detecting device 10. The control center 20 knows, according to the signal and the information content attached to the warning message, where the detecting device in the area detects the occurrence of the hazard, so as to activate the disaster prevention facility 30 disposed near the detecting device, for example, to extinguish the fire. Sprinklers or fire-fighting sprays, waterproof gates to prevent flooding, or buzzers and warning lights. In addition, the control center 20 is also often connected to the monitoring host 40 of a security center, so that the security personnel also receive relevant hazard occurrence information to perform necessary disposal.
本例中,控制中心20包括一處理模組200、一設施控制模組202及一通訊單元204。處理單元200接收偵測裝置10的傳輸單元106所傳送的警示訊息,並解讀警示訊息中所指出的危害態樣的訊號、偵測裝置10的識別資訊等訊息內容後,產生控制命令,以使設施控制模組202啟動設置在受測地點附近的防災設施30,開始執行終止危害所需的行動,例如:啟動滅火器噴撒二氧化碳以撲滅火勢、關閉防水閘門阻檔水流,或是關閉受測地點的出入口以防止入侵人員逃脫。處理模組200解讀警示訊息完畢後,還可將所解讀的危害訊息透過有線或無線的通訊單元204傳送到監控主機40以通知保全人員。In this example, the control center 20 includes a processing module 200, a facility control module 202, and a communication unit 204. The processing unit 200 receives the warning message transmitted by the transmission unit 106 of the detecting device 10, and interprets the message content of the hazard state indicated in the warning message, the identification information of the detecting device 10, and the like, and generates a control command, so that the control command is generated. The facility control module 202 activates the disaster prevention facility 30 disposed near the location to be tested, and begins to perform actions required to terminate the hazard, such as starting a fire extinguisher to spray carbon dioxide to extinguish the fire, closing the waterproof gate to block the flow of water, or closing the site to be tested. The entrances and exits to prevent intruders from escaping. After the processing module 200 interprets the warning message, the interpreted hazard message can also be transmitted to the monitoring host 40 through the wired or wireless communication unit 204 to notify the security personnel.
在本實施例中,分析模組102還可在控制警示單元104產生警示訊息的同時,將記憶單元108記錄的偵測影像直接經由傳輸單元106發送到監控主機。舉例來說:傳輸單元106可包括有線或無線網路通訊單元1060,偵測裝置10將偵測影像從記憶單元108中讀取出來,以數位訊號的型態直接透過網路通訊單元1060傳送到監控主機40,以供位於監控主機40的保全人員以視覺辨識的方式,從偵測影像直接觀測到受測地點所發生的危害情狀,以利於相關人員追蹤危害態樣的發展或判斷危害的嚴重程度等情勢,採取有效的應對措施。In this embodiment, the analysis module 102 can also send the detected image recorded by the memory unit 108 to the monitoring host directly via the transmission unit 106 while the control alert unit 104 generates the alert message. For example, the transmission unit 106 can include a wired or wireless network communication unit 1060. The detection device 10 reads the detected image from the memory unit 108 and transmits the digital signal directly through the network communication unit 1060 to the digital signal. The monitoring host 40 is provided for the security personnel located in the monitoring host 40 to directly observe the hazard situation of the tested location from the detected image in a visually recognized manner, so as to facilitate the tracking of the development of the hazard or the seriousness of the hazard. Level and other situations, take effective measures.
在本實施例中,以影像分析邏輯分析各種危害態樣的原理,係利用在一個受測地點發生火災時,煙霧或熱度會使得光線的穿透率降低;或發生水災時,光線投射在積水的地面上,水流的波紋造成光線的折射角度改變等現象。而具有上述現象的受測地點被影像擷取單元100擷取為偵測影像後,在偵測影像的畫面中會反映出上述的特徵。因此,分析模組102即根據各種演算邏輯,計算偵測影像中是否有符合上述現象的特徵,以及該等特徵的分佈情形、遮蔽程度等,以判斷影像中是否有符合發生特定危害的情況。In the present embodiment, the principle of analyzing various hazard states by image analysis logic is that when a fire occurs at a test site, smoke or heat causes a decrease in the transmittance of light; or when a flood occurs, light is projected on the water. On the ground, the ripples of the water flow cause the angle of refraction of the light to change. After the image capturing unit 100 captures the detected image by the image capturing unit 100, the above-mentioned features are reflected in the image of the detected image. Therefore, the analysis module 102 calculates, according to various calculation logics, whether there are any features in the detected image that meet the above-mentioned phenomenon, as well as the distribution of the features, the degree of shielding, and the like, to determine whether there is a situation in the image that meets the specific hazard.
此種手段所達到的偵測效果,用於鮮少有人監控或看管的地下室、車庫或倉庫等地點時,可有效地避免水患造成的財物損失和災害。The detection effect achieved by such means can effectively avoid the loss of property and disaster caused by flooding when used in places such as basements, garages or warehouses where few people are monitored or supervised.
當然,有關火警和人員入侵的偵測,也有許多的演算手段可進行分析,如上述根據影像中的光線亮度、煙霧遮蔽物件的程度等條件,來判斷火警的發生與否。Of course, there are many calculation methods for the detection of fire and personnel intrusion, such as the above, based on the brightness of the image, the degree of smoke shielding objects, etc., to determine the occurrence of fire.
人員的入侵則已經有更多的演算邏輯可供分析模組102進行分析和辨識,例如根據人體影像的頭、身、四肢的比例,甚至是偵測影像中擷取到的人類五官的分佈比例(臉部辨識)等等,皆可用來判斷受測地點中的人體影像的身分;甚至可比對預先記錄在記憶單元108中的資料,以判斷人體影像是否為可被允許出現在該地點的人員。例如適用在家庭中時,用以分辨被偵測到的人員是否為該家庭的成員;或是適用在辦公處所時,判別被偵測到的人員是否在其被允許出現的時段內出現(如公司員工僅於上班時間出現)。The intrusion of personnel has more calculus logic for analysis and identification by the analysis module 102, for example, according to the ratio of the head, body, and limbs of the human body image, and even the distribution ratio of the human facial features captured in the detected image. (Face recognition), etc., can be used to determine the identity of the human body image in the tested location; even the data pre-recorded in the memory unit 108 can be compared to determine whether the human body image is a person who can be allowed to appear at the location. . For example, when it is used in the home, it is used to distinguish whether the detected person is a member of the family; or when it is applied to the office, it is determined whether the detected person appears within the time period during which it is allowed to appear (such as Company employees only appear during working hours).
此外,除了可從偵測影像中判斷出受測地點所發生的危害態樣外,更可利用影像分析技術精確地判斷受測地點中發生危害的區域,並將區域資訊也包含在警示訊息中傳送到控制中心20,以利控制中心20針對受測地點進行區域性的防災措施。例如發生火災時,根據影像分析可獲知在該地點中僅有局部區域發生火災時,控制中心20可單獨針對發生火災的區域灑水,防止其他未受火焰波及的部分也被淋溼。In addition, in addition to judging the hazard pattern of the tested location from the detected image, the image analysis technology can be used to accurately determine the hazard area in the tested location, and the regional information is also included in the warning message. The control center 20 is transmitted to the control center 20 to perform regional disaster prevention measures for the tested location. For example, in the event of a fire, it can be known from the image analysis that when only a local area of the place is involved in a fire, the control center 20 can separately sprinkle water on the area where the fire occurred, and prevent other parts that are not affected by the flame from being wetted.
由於上述各種偵測及辨識的影像分析邏輯係為該技術領域中之技術人員所可知悉之手段,因此即不再對詳細的演算方式進行贅述。然而,必須特別說明的是,上述所說明的各種影像分析邏輯所分析的危害態樣、對每一種危害態樣係根據何種特徵進行分析,以及所適用的分析演算方式,皆僅為實施方式的例示,本實施例中分析模組102所進行的分析作業,並不限於上述範例;設計者自然可視偵測的需求開發更多的影像判斷邏輯和演算方法,以使影像偵測的技術更臻至完美。Since the image analysis logic of the above various detection and identification is a means that can be known to those skilled in the art, the detailed calculation method will not be described again. However, it must be specifically stated that the hazard patterns analyzed by the various image analysis logics described above, the characteristics of each hazard pattern are analyzed, and the applicable analytical calculus is only an implementation method. For example, the analysis operation performed by the analysis module 102 in this embodiment is not limited to the above example; the designer develops more image judgment logic and calculation methods for the requirements of natural visual detection, so that the image detection technology is more Perfect to perfection.
考量到受測地點的性質、架設防災設施的成本等因素,每個受測地點所設置的各種防災設施及其啟用的優先順序可能都不同。例如:若受測地點為少有人員出入的倉庫,為了防止火災的發明,同時在該地點設置了撒水裝置及二氧化碳灌注裝置。當偵測到所述受測地點發生火災時,為了避免貨品被水淋溼而損壞,控制中心20可能設定優先啟動二氧化碳灌注裝置,讓火源缺乏助燃物而熄滅。但若火災發生時,受測地點正好有人員在內,使用此種防災設施雖可終止危害,但卻造成人員的生命危險。控制中心20在此種狀況下,則應適用對人體無害的防災設備來執行防災的措施。Considering the nature of the site being tested and the cost of setting up a disaster prevention facility, the various disaster prevention facilities set up at each site tested and their prioritization may be different. For example, if the site to be tested is a warehouse with few people entering and exiting, in order to prevent the invention of fire, a sprinkler device and a carbon dioxide perfusion device are installed at the site. When it is detected that a fire occurs in the tested site, in order to prevent the product from being damaged by the water being wet, the control center 20 may set a priority to activate the carbon dioxide perfusion device to extinguish the fire source without the combustion aid. However, in the event of a fire, the location of the test is just in the presence of personnel. The use of such a disaster prevention facility can end the hazard, but it is life-threatening. In such a situation, the control center 20 should apply disaster prevention equipment that is harmless to the human body to perform disaster prevention measures.
因此,在另一實施例中,複數影像分析邏輯當中還可包括一人體影像分析邏輯,用以分析偵測影像中是否具有人體影像,藉以判斷偵測影像被擷取的當時,是否有人員處於受測地點之內。同時,影像分析資訊中也可更進一步包括一人體影像資訊,其係為分析模組102執行人體影像分析邏輯後所產生的資訊,用以指示出受測地點有或無人體影像。當分析模組102根據影像分析資訊判斷出受測地點發生至少一種危害態樣而使警示單元104產生警示訊息時,警示訊息中亦包括所述的人體影像資訊,以供控制中心20依據此資訊為不同的處理。Therefore, in another embodiment, the plurality of image analysis logics may further include a human body image analysis logic for analyzing whether the detected image has a human body image, thereby determining whether the detected image is captured and whether a person is present. Within the location under test. At the same time, the image analysis information may further include a human body image information, which is information generated by the analysis module 102 after performing the human body image analysis logic, to indicate whether the measured site has or does not have a human body image. When the analysis module 102 determines, according to the image analysis information, that at least one of the hazard patterns is generated in the test location, and the alert unit 104 generates the alert message, the alert message also includes the human body image information for the control center 20 to use according to the information. For different treatments.
受控制中心20控制的防災設施30包括第一防災裝置300及第二防災裝置302。其中第一防災裝置300用以執行對人體無害的防災作業,例如:撒水裝置、乾粉滅火裝置、蜂鳴器或關閉出入口的柵欄。而第二防災裝置302則用以執行不易損壞受測地點財物的防災作業,例如:二氧化碳灌注裝置或氧氣抽取裝置等。The disaster prevention facility 30 controlled by the control center 20 includes a first disaster prevention device 300 and a second disaster prevention device 302. The first disaster prevention device 300 is configured to perform disaster prevention operations that are harmless to the human body, such as a sprinkler device, a dry powder fire extinguishing device, a buzzer, or a fence that closes the entrance and exit. The second disaster prevention device 302 is used to perform disaster prevention operations that are not easy to damage the property of the site under test, such as a carbon dioxide perfusion device or an oxygen extraction device.
當控制中心20接收到包含有人體影像資訊、危害態樣訊號及偵測裝置10識別資訊的警示訊息時,會先判斷人體影像資訊指出偵測影像中有無人體影像,若有,即表示當時有人員位在發生危害的受測地點,此時處理模組200將發出控制命令,使設施控制模組202選用及啟動防災設施30中的第一防災裝置300,以終止危害態樣的持續並保全人身安全;反之,若人體影像資訊指出並無人體影像存在,設施控制模組202則可根據控制命令啟動第二防災裝置302,快速終止危害態樣,控制財物損失到最小程度。When the control center 20 receives the warning message including the human body image information, the hazard mode signal and the detection device 10 identification information, it first determines that the human body image information indicates whether there is a human body image in the detected image, and if so, it indicates that there is The processing module 200 will issue a control command to enable the facility control module 202 to select and activate the first disaster prevention device 300 in the disaster prevention facility 30 to terminate the persistence and preservation of the hazardous situation. Personal safety; conversely, if the human body image information indicates that no human body image exists, the facility control module 202 can activate the second disaster prevention device 302 according to the control command to quickly terminate the hazardous situation and control the loss of property to a minimum.
第二圖展示了本發明提供的一種多重危害偵測及控制系統第二實施例的方塊圖。第二實施例中,偵測及控制系統1a的偵測裝置10a更包括一感測單元110;而分析模組102a則包括一影像分析模組1020及一變數分析模組1022。The second figure shows a block diagram of a second embodiment of a multiple hazard detection and control system provided by the present invention. In the second embodiment, the detecting device 10a of the detecting and controlling system 1a further includes a sensing unit 110. The analyzing module 102a includes an image analyzing module 1020 and a variable analyzing module 1022.
感測單元110可為煙霧感測單元、光線感測單元、溫度感測單元或紅外線感測單元等,分別用於感測受測地點的煙霧濃度或是溫度高低變化,而產生包括光線穿透率、溫度等環境變數。The sensing unit 110 can be a smoke sensing unit, a light sensing unit, a temperature sensing unit, or an infrared sensing unit, etc., for sensing the smoke concentration or the temperature change of the measured location, respectively, and generating light penetration. Environmental variables such as rate and temperature.
影像分析模組1020係用於執行多種影像分析邏輯,以分析影像擷取單元100所擷取到的偵測影像及產生影像分析資訊,細節請參照第一實施例所述。變數分析模組1022則接收感測單元110所感測到的一到多個環境變數,並從記憶單元108讀取相對應的變數分析邏輯來分析環境變數,以判斷受測地點是否發生感測單元110所用以感測的危害態樣。變數分析邏輯可包括溫度變數分析邏輯、溼度變數分析邏輯、煙霧濃度變數分析邏輯等。The image analysis module 1020 is configured to execute a plurality of image analysis logics to analyze the captured image captured by the image capturing unit 100 and generate image analysis information. For details, refer to the first embodiment. The variable analysis module 1022 receives one or more environmental variables sensed by the sensing unit 110, and reads corresponding variable analysis logic from the memory unit 108 to analyze the environmental variables to determine whether the sensing unit occurs at the measured location. The hazard that 110 uses to sense. The variable analysis logic may include temperature variable analysis logic, humidity variable analysis logic, smoke concentration variable analysis logic, and the like.
舉例來說,變數分析模組1022可執行該等變數分析邏輯,以利用一預設值和接收到的環境變數相比,根據環境變數與預設值的大小作為判斷是否發生危害態樣的基準。For example, the variable analysis module 1022 can perform the variable analysis logic to use a preset value and the received environment variable as a reference for determining whether a hazardous situation occurs according to the environment variable and the preset value. .
一種感測單元110通常用以感測一種環境變數,在實作上可設置多個不同的感測單元,以供變數分析模組1022分別以不同的變數分析邏輯分析不同感測單元所感測到的環境變數,以供偵測不同態樣的危害。A sensing unit 110 is generally configured to sense an environment variable, and a plurality of different sensing units may be disposed on the implementation, so that the variable analysis module 1022 analyzes different sensing units by different variable analysis logics. Environmental variables for detecting hazards in different situations.
變數分析模組1022利用變數分析邏輯將相對應的環境變數分析完成後,亦會產生一變數分析資訊,用以指示出變數分析模組1022的分析結果。After the variable analysis module 1022 analyzes the corresponding environment variables by using the variable analysis logic, a variable analysis information is also generated to indicate the analysis result of the variable analysis module 1022.
對於影像分析模組1020與變數分析模組1022分別產生的影像分析資訊與變數分析資訊,分析模組102a可採取不同的作法。For the image analysis information and the variable analysis information generated by the image analysis module 1020 and the variable analysis module 1022, the analysis module 102a can adopt different methods.
其中一個實施方式中,影像分析模組1020與變數分析模組1022分別分析相同的危害態樣,分析模組102a更比對影像分析資訊及變數分析資訊,以確認利用影像分析的結果和感測單元110感測的結果,是否都得到相同的結論,藉此以避免產生誤判的情形。In one embodiment, the image analysis module 1020 and the variable analysis module 1022 respectively analyze the same hazard situation, and the analysis module 102a compares the image analysis information and the variable analysis information to confirm the result and the sensing using the image analysis. Whether the results sensed by the unit 110 all result in the same conclusion, thereby avoiding a situation in which a false positive is generated.
例如:感測單元110係為用於偵測煙霧濃度的煙霧感測單元,變數分析模組1022執行濃度變數分析邏輯後,在變數分析資訊中包含受測地點是否發生火災的結論;而影像分析模組1020也在執行火災影像分析邏輯後,於影像分析資訊中記錄受測地點是否發生火災的結論。分析模組102a將影像和變數分析資訊中對於是否發生火災的結論進行比對,再產生最後的危害分析資訊。For example, the sensing unit 110 is a smoke sensing unit for detecting the smoke concentration, and the variable analysis module 1022 performs the concentration variable analysis logic, and the variable analysis information includes a conclusion that the fire is detected at the measured location; and the image analysis After executing the fire image analysis logic, the module 1020 also records in the image analysis information whether or not a fire has occurred at the tested location. The analysis module 102a compares the conclusions of the image and the variable analysis information regarding whether or not a fire has occurred, and generates the final hazard analysis information.
當二個分析資訊皆指示出受測地點發生火災時,分析模組102a才判斷受測地點確有火災發生;當二個分析資訊皆指出受測地點未發生火災時,分析模組102a則判斷受測地點並無火災發生。When the two analysis information indicates that the fire occurred at the test site, the analysis module 102a determines that the fire occurred at the test site; when the two analysis information indicates that the fire is not detected at the test site, the analysis module 102a determines There was no fire at the site tested.
分析模組102a比對影像分析資訊和變數分析資訊後,根據比對的結果產生危害分析資訊,警示單元104則根據危害分析資訊所指出的分析結果,於確認有危害態樣產生時,發送警示訊息到控制中心20。控制中心20的處理模組200接收及解讀警示訊息中的危害態樣訊號、偵測裝置10a識別資料及人體影像資訊後,再控制設施控制模組202啟動適當的防災設施30,以終止危害態樣的持續。After the analysis module 102a compares the image analysis information and the variable analysis information, the damage analysis information is generated according to the comparison result, and the warning unit 104 sends a warning when the hazardous situation is confirmed according to the analysis result indicated by the damage analysis information. The message goes to the control center 20. The processing module 200 of the control center 20 receives and interprets the hazard mode signal in the warning message, the identification device 10a identification data and the human body image information, and then controls the facility control module 202 to activate the appropriate disaster prevention facility 30 to terminate the hazard state. The continuity of the sample.
當分析模組102a比對影像分析資訊和變數分析資訊,發現對於同一種危害態樣的判斷結論不同時,分析模組102a可將偵測影像經由網路通訊單元1060輸出到監控主機或遠端電子裝置42(如行動電話、筆記型電腦),以供接收到偵測影像的人員目視判斷。When the analysis module 102a compares the image analysis information and the variable analysis information, and finds that the judgment conclusions of the same hazard are different, the analysis module 102a can output the detected image to the monitoring host or the remote terminal via the network communication unit 1060. The electronic device 42 (such as a mobile phone, a notebook computer) is visually judged by a person who receives the detected image.
而在另一個實施方式當中,影像分析模組1020及變數分析模組1022分別用以分析不同的危害態樣。分析模組102a除了接收偵測影像進行影像分析,以辨識特定的危害態樣之外,同時也接收感測單元110所擷取的環境變數,再分別根據相對應的影像及變數分析邏輯來判斷有無災害的發生。利用影像分析模組1020和變數分析模組1022分別判斷不同的危害態樣,減少分析模組102a進行影像分析的運算量,降低分析模組102a整體的運算負擔,同時也從許多精密度高的感測單元110獲取準確的環境變數,有助於對危害發生與否的判斷。In another embodiment, the image analysis module 1020 and the variable analysis module 1022 are respectively configured to analyze different hazard patterns. The analysis module 102a receives the detected image for image analysis to identify a specific hazard, and also receives the environmental variables captured by the sensing unit 110, and then determines according to the corresponding image and variable analysis logic. There is no disaster. The image analysis module 1020 and the variable analysis module 1022 respectively determine different hazard modes, reduce the calculation amount of the image analysis by the analysis module 102a, and reduce the computational burden of the analysis module 102a as a whole, and also from many precisions. The sensing unit 110 obtains accurate environmental variables and helps to judge whether a hazard occurs or not.
第二實施例中所未詳述的其他元件其特徵,請參照第一實施例之說明。For other features of the components not detailed in the second embodiment, please refer to the description of the first embodiment.
第三圖顯示一種多重危害偵測及控制方法第一實施例的流程圖。請同時參照第一圖所示之方塊圖。本例中,偵測裝置10以影像擷取單元100定時或連續擷取一受測地點的一偵測影像(S501),以供分析模組102讀取記憶單元108中的影像分析邏輯分析偵測影像。The third figure shows a flow chart of a first embodiment of a multiple hazard detection and control method. Please also refer to the block diagram shown in the first figure. In this example, the detecting device 10 captures a detected image of a measured location (S501) by the image capturing unit 100 for reading and analyzing the image analysis logic in the memory unit 108. Measure the image.
其中,分析模組102執行一人體影像分析邏輯分析偵測影像,用以判斷是否有人體影像存在偵測影像當中(S503);以及執行其他影像分析邏輯,以判斷受測地點是否發生至少一種態樣的危害(S505),例如火災影像分析邏輯、水災影像分析邏輯或入侵影像分析邏輯。複數種影像分析邏輯皆執行完畢後,分析模組102產生一影像分析資訊(S507),其中包括用以指示偵測影像中是否具有人體影像的人體影像資訊,以及執行其他影像分析邏輯之後的結果,用以指示出受測地點有無危害態樣發生。The analysis module 102 performs a human body image analysis logic to analyze the detected image to determine whether a human body image exists in the detected image (S503); and performs other image analysis logic to determine whether at least one state occurs at the measured location. Such hazards (S505), such as fire image analysis logic, flood image analysis logic, or intrusion image analysis logic. After the plurality of image analysis logics are executed, the analysis module 102 generates an image analysis information (S507), which includes body image information for indicating whether the image is detected in the image, and the result of executing other image analysis logic. To indicate the presence or absence of a hazardous situation at the site under test.
分析模組102依據影分析資訊判斷受測地點是否有被分析的危害態樣發生(S509):若影像分析資訊指出受測地點並任何受分析的危害態樣產生,即可返回步驟S501以下,擷取下一張偵測影像以繼續分析;若影像分析資訊指出任一影像分析邏輯分析出受測地點有危害態樣產生,警示單元104則產生一警示訊息,傳送到控制中心20(S511),警示訊息包括危害的態樣、人體影像資訊,以及偵測裝置10的識別資訊等,以供控制中心20進行適當的處置。The analysis module 102 determines, according to the image analysis information, whether the detected location has an analyzed hazardous situation (S509): if the image analysis information indicates the location to be tested and any of the analyzed hazardous states are generated, the process returns to step S501. The next detection image is taken to continue the analysis; if the image analysis information indicates that any image analysis logic analyzes that the detected location has a harmful situation, the warning unit 104 generates a warning message and transmits it to the control center 20 (S511). The warning message includes the state of the hazard, the human body image information, and the identification information of the detecting device 10, etc., for the control center 20 to perform appropriate disposal.
控制中心20接收到警示訊息時,將根據人體影像訊息判斷受測地點有無人員存在(S513),並根據危害的態樣與偵測裝置10的識別資訊,判斷應適用的防災設施30類別和地點。當人體影像訊息指出受測地點無人員存在時,控制中心20控制第二防災裝置302執行終止危害的作業(S515);反之,若當時有人員存在受測地點中,則控制第一防災裝置300執行終止危害的作業(S517),所述的第一防災裝置300將執行對人體無害的防災措施。When receiving the warning message, the control center 20 determines whether there is a presence or absence of a person according to the human body image information (S513), and determines the type and location of the disaster prevention facility 30 to be applied according to the hazard aspect and the identification information of the detecting device 10. . When the human body image information indicates that no person exists in the measured location, the control center 20 controls the second disaster prevention device 302 to perform the operation of terminating the damage (S515); otherwise, if there is a person present in the tested location, the first disaster prevention device 300 is controlled. The operation of terminating the hazard is performed (S517), and the first disaster prevention device 300 performs a disaster prevention measure that is harmless to the human body.
第四圖則顯示多重危害偵測及控制方法第二實施例的流程圖;請一併參閱第二圖所示之系統方塊圖。本實施例係由偵測裝置10a同時接收受測地點的偵測影像及感測單元110感測到的環境變數(S601);偵測裝置10a的影像分析模組1020根據偵測影像執行人體影像分析邏輯,產生一人體影像資訊,用以判斷偵測影像中是否包括人體影像(S603),此外還分別以其他的影像分析邏輯分析偵測影像,以及由變數分析模組1022執行至少一種變數分析邏輯(S605),以分別獲得影像分析資訊及變數分析資訊(S607),其中,影像分析資訊包括步驟S603所產生的人體影像資訊。The fourth diagram shows a flow chart of the second embodiment of the multiple hazard detection and control method; please refer to the system block diagram shown in the second figure. In this embodiment, the detecting device 10a simultaneously receives the detected image of the measured location and the environmental variable sensed by the sensing unit 110 (S601); the image analyzing module 1020 of the detecting device 10a executes the human body image according to the detected image. The analysis logic generates a human body image information for determining whether the detected image includes a human body image (S603), and further analyzing the detected image by other image analysis logic, and performing at least one variable analysis by the variable analysis module 1022 Logic (S605) to obtain image analysis information and variable analysis information (S607), wherein the image analysis information includes the human body image information generated in step S603.
分析模組102a更進一步比對影像分析資訊及變數分析資訊的內容,用以判斷二者對同種危害態樣是否有相同的分析結論(S609),包括:判斷影像與變數分析資訊是否對於同一種危害態樣都判斷為發生危害(S611),例如是否都判斷出發生火災;若否,則再分析二個分析資訊是否都判斷受測地點未發生特定危害(S613),例如皆判斷出受測地點無火災情況發生。當二個分析資訊皆分析出受測地點無危害態樣發生時,即返回步驟S601,繼續進行擷取影像與變數的步驟;反之,當二個分析資訊的結論不同,即對於同一種危害態樣,一者判斷為有危害發生、另一者則判斷為無危害發生時,分析模組102a則透過網路通訊單元1060,將偵測影像發送到遠端電子裝置42,以供接收者目測辨識(S615)。The analysis module 102a further compares the content of the image analysis information and the variable analysis information to determine whether the two have the same analysis conclusion for the same kind of harm state (S609), including: determining whether the image and the variable analysis information are the same type The hazard state is judged to be a hazard (S611), for example, whether a fire is judged; if not, then it is analyzed whether the two analysis information judges that the test site does not have a specific hazard (S613), for example, it is determined that the test is performed. There was no fire at the location. When the two analysis information analyzes that the tested location is harmless, the process returns to step S601, and the steps of capturing images and variables are continued; otherwise, when the conclusions of the two analysis information are different, that is, for the same hazardous state In the case that one of the determinations is that a hazard occurs and the other judges that no hazard occurs, the analysis module 102a transmits the detected image to the remote electronic device 42 through the network communication unit 1060 for visual inspection by the receiver. Identification (S615).
若在步驟S611中,分析模組102a判斷出二個分析資訊都分析出發生特定危害態樣,警示單元104則產生包括人體影像資訊的警示訊息,傳送到控制中心20(S617)。控制中心20先根據人體影像資訊判斷受測地點是否有人員在內(S619),若無,則啟動設置在受測地點附近、可終止危害態樣的第二防災裝置302以終止危害(S621);但若受測地點有人員在內,控制中心20則啟動設置在受測地點附近、可終止危害態樣且對人體無害的第一防災裝置300以終止危害(S623)。If the analysis module 102a determines in step S611 that the two analysis information are analyzed to generate a specific hazard, the alert unit 104 generates a warning message including the human body image information, and transmits the warning message to the control center 20 (S617). The control center 20 first determines whether there is a person at the tested location according to the human body image information (S619), and if not, starts the second disaster prevention device 302 that is disposed near the measured location and can terminate the hazardous aspect to terminate the hazard (S621) However, if there is a person at the place to be tested, the control center 20 activates the first disaster prevention device 300 disposed near the test site to terminate the hazard and is harmless to the human body to terminate the hazard (S623).
第五圖再提供多重危害偵測及控制方法第三實施例的流程圖,亦請同時參照第二圖。第三實施例亦由偵測裝置10a擷取偵測影像及接收環境變數(S701),並由影像分析模組1020以人體影像分析邏輯判斷受測地點有無人員存在(S703)。The fifth figure further provides a flowchart of the third embodiment of the multiple hazard detection and control method, and also refers to the second figure. The third embodiment also captures the detected image and the received environment variable by the detecting device 10a (S701), and the image analyzing module 1020 determines the presence or absence of the person at the tested location by the human body image analyzing logic (S703).
影像分析模組1020與變數分析模組1022分別根據偵測影像與環境變數,分析不同態樣的危害是否在受測地點發生(S705),例如影像分析模組1020利用水災影像分析邏輯與入侵影像分析邏輯分析分別判斷受測地點有無水災或人員入侵,另外由變數分析模組1022以煙霧濃度變數分析邏輯判斷受測地點有無火災;再分別產生影像分析資訊及變數分析資訊(S707)。The image analysis module 1020 and the variable analysis module 1022 respectively analyze whether the damage of different aspects occurs at the measured location according to the detected image and the environmental variable (S705), for example, the image analysis module 1020 uses the flood image analysis logic and the intrusion image. The analysis logic analysis determines that there is no water disaster or personnel invasion in the tested location, and the variable analysis module 1022 determines whether there is a fire in the tested location by using the smoke concentration variable analysis logic; and separately generates image analysis information and variable analysis information (S707).
分析模組102a根據影像及變數分析資訊的內容,判斷受測地點是否有任何一種危害態樣發生(S709):若無則返回步驟S701以下繼續執行偵測;若確實有危害態樣產生,則發送包括人體影像資訊的警示訊息到控制中心20(S711),控制中心20先識別受測地點有無人員在內(S713),若無,則啟動第二防災裝置302(S715);若有人員在內則啟動第一防災裝置300(S717),以終止危害的發生。The analysis module 102a determines, according to the content of the image and the variable analysis information, whether any of the damage scenes is detected (S709): if not, returning to step S701 to continue the detection; if there is a harmful situation, Sending a warning message including body image information to the control center 20 (S711), the control center 20 first identifying the presence or absence of the person at the site under test (S713), and if not, starting the second disaster prevention device 302 (S715); The first disaster prevention device 300 (S717) is activated to terminate the occurrence of the hazard.
本實施例中與第二實施例相同之處即不再重述,請參照第二實施例之說明。The same points in the embodiment as those in the second embodiment are not repeated, and the description of the second embodiment will be referred to.
綜合上述,已揭露出本發明所提供的多重危害偵測及控制系統和方法所使用的手段,利用影像分析的技術,同時可對一地點進行多重的危害偵測及警示,並且可彈性地調整偵測的方式、順序及對應偵測結果而提供不同的防災裝置終止危害。In summary, the method used in the multi-hazard detection and control system and method provided by the present invention has been disclosed, and the image analysis technology can be used to perform multiple hazard detection and warning on a location, and can be flexibly adjusted. The detection method, sequence and corresponding detection results provide different disaster prevention devices to terminate the hazard.
同時,還可與現行的各種探測系統整合,不但無需另行開發探測系統的硬體規格,更可配合現有的感測裝置做雙重的偵測結果確認,提高偵測結果的準確度、降低誤判率;此外,利用此種多重危害偵測的手段,更可長時間自動監控少有人煙的地點,減少以人力監控所需花費的成本。At the same time, it can be integrated with various existing detection systems. It not only does not need to develop the hardware specifications of the detection system, but also can confirm the double detection results with the existing sensing devices, improve the accuracy of detection results and reduce the false positive rate. In addition, the use of such multiple hazard detection means that it can automatically monitor the location of less smoke for a long time and reduce the cost of manpower monitoring.
然而,上述各實施例當中之項目及元件,僅係為闡述本發明所舉之例示,並無自限所請求保護之範圍之意圖。凡遵循本發明之精神及根據本發明所揭示之技術手段,而進行微幅之修飾或改變者,亦屬本發明所保護之範疇。However, the items and elements of the above-described embodiments are merely illustrative of the invention and are not intended to limit the scope of the claimed invention. It is also within the scope of the present invention to modify or modify the micro-frames in accordance with the spirit of the present invention and the technical means disclosed herein.
1,1a...多重危害偵測及控制系統1,1a. . . Multiple Hazard Detection and Control System
10,10a...偵測裝置10,10a. . . Detection device
100...影像擷取單元100. . . Image capture unit
102,102a...分析模組102,102a. . . Analysis module
1020...影像分析模組1020. . . Image analysis module
1022...變數分析模組1022. . . Variable analysis module
104...警示單元104. . . Warning unit
106...傳輸單元106. . . Transmission unit
1060...網路通訊單元1060. . . Network communication unit
108...記憶單元108. . . Memory unit
110...感測單元110. . . Sensing unit
20...控制中心20. . . control center
200...處理模組200. . . Processing module
202...設施控制模組202. . . Facility control module
204...通訊單元204. . . Communication unit
30...防災設施30. . . Disaster prevention facility
300...第一防災裝置300. . . First disaster prevention device
302...第二防災裝置302. . . Second disaster prevention device
40...監控主機40. . . Monitoring host
42...遠端電子裝置42. . . Remote electronic device
S501-S517...流程步驟S501-S517. . . Process step
S601-S623...流程步驟S601-S623. . . Process step
S701-S717...流程步驟S701-S717. . . Process step
第一圖:本發明所提供的一種多重危害偵測及控制系統第一實施例之方塊圖;First: a block diagram of a first embodiment of a multiple hazard detection and control system provided by the present invention;
第二圖:本發明所提供的一種多重危害偵測及控制系統第二實施例之方塊圖;Second: a block diagram of a second embodiment of a multiple hazard detection and control system provided by the present invention;
第三圖:本發明所提供的一種多重危害偵測及控制方法第一實施例之流程圖;Third: a flowchart of a first embodiment of a multiple hazard detection and control method provided by the present invention;
第四圖:本發明所提供的一種多重危害偵測及控制方法第二實施例之流程圖;及FIG. 4 is a flow chart of a second embodiment of a multiple hazard detection and control method provided by the present invention; and
第五圖:本發明所提供的一種多重危害偵測及控制方法第三實施例之流程圖。Figure 5 is a flow chart of a third embodiment of a multiple hazard detection and control method provided by the present invention.
1...多重危害偵測及控制系統1. . . Multiple Hazard Detection and Control System
10...偵測裝置10. . . Detection device
100...影像擷取單元100. . . Image capture unit
102...分析模組102. . . Analysis module
104...警示單元104. . . Warning unit
106...傳輸單元106. . . Transmission unit
1060...網路通訊單元1060. . . Network communication unit
108...記憶單元108. . . Memory unit
20...控制中心20. . . control center
200...處理模組200. . . Processing module
202...設施控制模組202. . . Facility control module
204...通訊單元204. . . Communication unit
30...防災設施30. . . Disaster prevention facility
300...第一防災裝置300. . . First disaster prevention device
302...第二防災裝置302. . . Second disaster prevention device
40...監控主機40. . . Monitoring host
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