TW201820284A - Dynamic early-warning fire fighting device capable of reducing a probability of false alarms and increasing accuracy of predicting occurrence of fire situations - Google Patents
Dynamic early-warning fire fighting device capable of reducing a probability of false alarms and increasing accuracy of predicting occurrence of fire situations Download PDFInfo
- Publication number
- TW201820284A TW201820284A TW105138323A TW105138323A TW201820284A TW 201820284 A TW201820284 A TW 201820284A TW 105138323 A TW105138323 A TW 105138323A TW 105138323 A TW105138323 A TW 105138323A TW 201820284 A TW201820284 A TW 201820284A
- Authority
- TW
- Taiwan
- Prior art keywords
- warning
- early
- monitoring
- value
- fire
- Prior art date
Links
Landscapes
- Fire Alarms (AREA)
- Alarm Systems (AREA)
- Telephonic Communication Services (AREA)
Abstract
Description
本發明係有關於一種動態預警消防裝置,尤指涉及一種可依據所在環境之氣候與時間之不同而進行所需調整之預警值上限,特別係指可減少誤報之機率,並提高真正有火災情況之預報準確性者。The invention relates to a dynamic early-warning fire-fighting device, in particular to an upper-limit value of an early-warning value that can be adjusted according to the climate and time of the environment in which it is located, in particular, it can reduce the probability of false alarms and improve the real fire situation The accuracy of the forecast.
按,一般之消防警報裝置係廣泛設置於居家、大樓、及辦公室等建築物之相關環境中,作為火警之感知警報器材,以期可達到即時獲得火災初期之感知警報效用,防止火勢進一步擴散與漫延。 由於上述習用之消防警報裝置,其皆已依據法規之規定,而預設有溫度之設定值(例如:溫度為70°C時發出警報),可使偵測器偵測出所在環境中之溫度為70°C以上時發出警報。惟70°C之警報發布太慢,因此,各家廠商另外設定有預警之溫度(例如:溫度為45°C時發出預警),可使偵測器偵測出所在環境中之溫度為45°C以上時發出預警。 然,以習用之消防警報裝置而言,其警報發報門檻之溫度為人工預設之數值,無論是頂樓或地下室其預設標準都一樣,並無法依據所在環境之氣候或時間之不同而進行所需之調整,使得習用之消防警報裝置於不同之環境、氣候或時間之下易存在有誤差值,當設定數值太低容易產生誤報,設定數值太高則有發布太慢之疑慮,導致警報之靈敏度與準確度大幅降低。 因此,為改善上述之缺失,本案之發明人特潛心研究,開發出一種「動態預警消防裝置」,以期在法規規定與人工設定火災警報門檻前,先行發出預警,可有效改善習用之缺點。According to the general fire alarm devices are widely installed in the relevant environment of homes, buildings, offices and other buildings, as a fire alarm sensing device, in order to achieve the immediate effect of the early fire alarm, to prevent the fire from spreading and spreading further . As the above-mentioned conventional fire alarm devices have been in accordance with the regulations, preset temperature settings (such as an alarm when the temperature is 70 ° C) can make the detector detect the temperature in the environment. The alarm is issued when the temperature is above 70 ° C. However, the 70 ° C alarm is issued too slowly. Therefore, each manufacturer has set a warning temperature (for example, a warning is issued when the temperature is 45 ° C), so that the detector can detect that the temperature in the environment is 45 °. Issue a warning when C is above. However, in the case of a conventional fire alarm device, the temperature of the alarm threshold is an artificially preset value. The preset standard is the same whether it is in the top floor or the basement, and cannot be determined according to the climate or time of the environment. The necessary adjustments make the conventional fire alarm device prone to error values under different environments, climates, or times. When the setting value is too low, false alarms are likely to occur. When the setting value is too high, there is a concern that it will be issued too slowly, which will cause alarms. Sensitivity and accuracy are greatly reduced. Therefore, in order to improve the above-mentioned shortcomings, the inventor of this case has devoted himself to research and developed a "dynamic early-warning fire-fighting device", with a view to issuing an early warning in advance of regulations and manual setting of fire alarm thresholds, which can effectively improve the shortcomings of custom.
本發明之主要目的係在於,克服習知技藝所遭遇之上述問題並提供一種預警值上限係隨環境而調整之動態數值,可依據所在環境之氣候與時間之不同而進行所需調整,當發生不正常超過標準差之數值,亦即超過該預警值上限之時,即發出預警訊號,可減少誤報之機率,並提高真正有火災情況之預報準確性之動態預警消防裝置。 本發明之次要目的係在於,提供一種不同偵測單元都具有不同之預警曲線圖,可得到不同之預警動態曲線,使每個地方都有屬於自己之預警值,最後再以統計學之方式分析出標準差,取其三倍或三倍以上之標準差得到預警值上限之動態預警消防裝置。 為達以上之目的,本發明係一種動態預警消防裝置,係包括:數個監控端,每一監控端設置有一偵測單元、一感應單元及一第一通訊單元,係提供偵測一空間內之監視點狀況,並據以輸出一偵測資料;一雲端伺服器,係與該數個監控端連接,其設置有一統計分析單元、一第二通訊單元、數個雲端通訊模組及一雲端資料庫,且每一雲端通訊模組設有一用戶辨識單元(SIM卡),該雲端伺服器可接收不同偵測單元輸出之偵測資料以顯示不同監控端內之監視點狀況,且不同之監視點狀況係根據不同之預警值上限判斷其對應之監視點狀況是否異常,並於異常時傳送一預警訊號至發生異常之監控端之感應單元,以驅動該感應單元發出響音及燈號警示,再將該偵測資料與該預警訊號整合為一狀態訊息,並經編碼後,據以輸出一帶有定位座標之狀態訊息;以及一接收端,係與該雲端伺服器連接,其接收該雲端伺服器之狀態訊息,使該接收端可顯示出發生異常之監控端之監視點狀況與所在位置 ,讓使用者能即時獲知事件之狀況。 於本發明上述實施例中,該偵測單元係為溫度偵測器。 於本發明上述實施例中,該監視點狀況包含複合式溫度狀態與數值、警鈴狀態、以及警示燈狀態。 於本發明上述實施例中,該感應單元係為警鈴及警示燈。 於本發明上述實施例中,該接收端係為行動上網裝置,並可為Android 、iOS或Windows之智慧手機或平板電腦之任一種,藉以該行動上網裝置所接收到之狀態訊息進行後續處理。 於本發明上述實施例中,該雲端伺服器係可以電子郵件(E-mail)、簡訊、行動應用程式(App)、或社群網站之方式傳送該狀態訊息至使用者。 於本發明上述實施例中,該接收端之使用者係可為保全管理系統、防災應變中心、及客戶服務系統。 於本發明上述實施例中,該定位座標係儲存於該雲端通訊模組之用戶辨識單元中。 於本發明上述實施例中,該第一通訊單元與該第二通訊單元係以有線或無線傳輸之方式進行交握溝通。 於本發明上述實施例中,該雲端伺服器係以統計分析方式建立學習式預警,在設定之間隔時間內適時對不同偵測單元進行瞬間的偵測資料取樣,從該偵測資料中選取數個鄰近間隔樣本,計算該等鄰近間隔樣本之一平均值與一標準差,根據該平均值與該標準差,制定該預警值上限,並根據該等鄰近間隔樣本中之一樣本超過該預警值上限,發出該預警訊號。 於本發明上述實施例中,該間隔時間係以3分鐘為一個單位。 於本發明上述實施例中,該預警值上限係以三倍或三倍以上之標準差所設定。 於本發明上述實施例中,該預警值上限係為動態數值,係依據所在環境之氣候與時間之不同而進行所需調整之預警值。The main purpose of the present invention is to overcome the above-mentioned problems encountered in conventional techniques and provide a dynamic value of the upper limit of the early warning value, which can be adjusted according to the environment. The required adjustment can be made according to the climate and time of the environment. A dynamic early-warning fire-fighting device that can reduce the chance of false alarms and improve the accuracy of real-world fire conditions when abnormal values that exceed the standard deviation, that is, when the upper limit of the warning value is exceeded. The secondary objective of the present invention is to provide a different early warning curve diagram for different detection units, which can obtain different early warning dynamic curves, so that each place has its own early warning value, and finally in a statistical way Analyze the standard deviation, and take the standard deviation of three times or more to get the upper limit of the early warning value of the dynamic early warning fire protection device. In order to achieve the above object, the present invention is a dynamic early warning fire protection device, including: a plurality of monitoring terminals, each monitoring terminal is provided with a detection unit, a sensing unit and a first communication unit, which provides detection in a space Monitoring point status, and outputting a detection data based thereon; a cloud server connected to the monitoring terminals, which is provided with a statistical analysis unit, a second communication unit, several cloud communication modules and a cloud Database, and each cloud communication module is provided with a user identification unit (SIM card), the cloud server can receive detection data output by different detection units to display the status of monitoring points in different monitoring terminals, and different monitoring The point status is to determine whether the corresponding monitoring point status is abnormal according to different upper limit of the warning value, and send an early warning signal to the sensing unit of the monitoring end where the abnormality occurs to drive the sensing unit to emit a sound and a light warning when the abnormality occurs. The detection data and the warning signal are integrated into a status message, and after being encoded, a status message with positioning coordinates is output according to the code; and End, connected to the cloud-based server that receives the cloud server's status message, so that the receiver can display the status and location of the point end of the surveillance monitoring anomalies occur, allowing users to get real-time status of the event. In the above embodiment of the present invention, the detection unit is a temperature detector. In the above embodiment of the present invention, the monitoring point status includes a composite temperature state and value, a warning bell state, and a warning light state. In the above embodiment of the present invention, the sensing unit is a bell and a warning light. In the above-mentioned embodiment of the present invention, the receiving end is a mobile Internet device, and may be any one of Android, iOS, or Windows smartphones or tablets. The status information received by the mobile Internet device is used for subsequent processing. In the above embodiment of the present invention, the cloud server can send the status message to the user by means of email (E-mail), text message, mobile application (App), or social networking site. In the above embodiment of the present invention, the users of the receiving end may be a security management system, a disaster prevention and response center, and a customer service system. In the above embodiment of the present invention, the positioning coordinates are stored in a user identification unit of the cloud communication module. In the above embodiment of the present invention, the first communication unit and the second communication unit perform handshake communication through wired or wireless transmission. In the above-mentioned embodiment of the present invention, the cloud server establishes a learning-type early warning in a statistical analysis manner, and performs instantaneous detection data sampling of different detection units at a set interval in time, and selects data from the detection data. Adjacent interval samples, calculate an average value and a standard deviation of the adjacent interval samples, formulate the upper limit of the early warning value based on the average value and the standard deviation, and according to one of the adjacent interval samples, exceed the early warning value Upper limit, the warning signal is issued. In the above embodiment of the present invention, the interval time is in units of 3 minutes. In the above embodiment of the present invention, the upper limit of the early warning value is set by a standard deviation of three times or more. In the above embodiment of the present invention, the upper limit of the early warning value is a dynamic value, which is a warning value that needs to be adjusted according to the environment's climate and time.
請參閱「第1圖~第3圖」所示,係分別為本發明一較佳實施例之動態預警消防裝置之方塊示意圖、本發明之學習式預警與其他方式之比較示意圖、及本發明取其三倍之標準差得到預警值上限示意圖。如圖所示:本發明係一種動態預警消防裝置,係包括數個監控端1、一雲端伺服器2及一接收端3所構成。 上述所提之監控端1係設置有一偵測單元11、一感應單元12及一第一通訊單元13。該偵測單元11係為溫度偵測器,而該感應單元12係為警鈴及警示燈;因此,該監視點狀況包含複合式溫度狀態與數值、警鈴狀態、以及警示燈狀態。 該雲端伺服器2係與該數個監控端1連接,其設置有一統計分析單元21、一第二通訊單元22、數個雲端通訊模組23及一雲端資料庫24,且每一雲端通訊模組23設有一用戶辨識單元(SIM卡)231。而該第二通訊單元22係以有線或無線傳輸之方式與該第一通訊單元13進行交握溝通。 該接收端3係與該雲端伺服器2連接。該接收端3係為行動上網裝置 ,並可為Android、iOS或Windows之智慧手機或平板電腦之任一種,藉以該行動上網裝置所接收到之狀態訊息進行後續處理。如是,藉由上述揭露之結構構成一全新之動態預警消防裝置。 當本發明於運用時,係由數個監控端1各自提供一偵測一空間內之監視點狀況,並各自據以輸出一偵測資料至雲端伺服器2。該雲端伺服器2接收不同偵測單元11輸出之偵測資料以顯示不同監控端1內之監視點狀況,且不同之監視點狀況係根據不同之預警值上限判斷其對應之監視點狀況是否異常(如第2圖所示),並於異常時傳送一預警訊號至發生異常之監控端1之感應單元12,以驅動該感應單元12發出響音及燈號警示,再將此偵測資料與預警訊號整合為一狀態訊息,並經編碼後,據以輸出一帶有定位座標之狀態訊息至接收端3。該接收端3接收該雲端伺服器2之狀態訊息後,即可顯示出發生異常之監控端1之監視點狀況與所在位置,讓使用者能即時獲知事件之狀況。其中,該定位座標係儲存於該雲端通訊模組23之用戶辨識單元24中。 上述雲端伺服器2係以統計分析方式建立學習式預警,如第3圖所示 ,其在設定之間隔時間(例如:以3分鐘為一個單位)內適時對不同偵測單元11進行瞬間的偵測資料取樣,從該偵測資料中選取數個鄰近間隔樣本,計算該等鄰近間隔樣本之一平均值與一標準差,根據該平均值與三倍或三倍以上之標準差,制定該預警值上限,並根據該等鄰近間隔樣本中之一樣本超過該預警值上限,發出該預警訊號。 同時,本發明亦透過該雲端伺服器2將狀態訊息交由選定之雲端通訊模組23,利用每一雲端通訊模組23皆配備有用戶辨識模組231 ,可以電子郵件(E-mail)、簡訊、行動應用程式(App)、或社群網站之方式傳送該狀態訊息至接收端3,進而使包含保全管理系統(管理者、使用者)、防災應變中心(指揮官、應變小組)、及客戶服務系統等之使用者可以從遠端取得即時狀況,以在第一時間進行所需救護處理,進而達到快速救援之目的。 藉此,本發明可利用建築物本身既有之消防系統作為偵測單元,該些偵測單元遍布於各樓層各空間中,由每一偵測單元去搜集所處環境之背景資料,以統計分析單元在設定之間隔時間內進行取樣,所得資料數值會落在某一個範圍內形成預警值,因此每一偵測單元都具有不同之預警曲線圖,可得到不同之預警動態曲線,亦即地下室有屬於地下室之預警曲線圖、頂樓有屬於頂樓之預警曲線圖…等,使每個地方都有屬於自己之預警值,最後再以統計學之方式分析出標準差,取其三倍或三倍以上之標準差得到預警值上限。因此,本發明所提預警值上限係隨環境而調整之動態數值,可依據所在環境之氣候與時間之不同而進行所需調整,當發生不正常超過標準差之數值,亦即超過該預警值上限之時,即發出預警訊號,可減少誤報之機率,並提高真正有火災情況之預報準確性。 綜上所述,本發明係一種動態預警消防裝置,可有效改善習用之種種缺點,所提預警值上限係隨環境而調整之動態數值,可依據所在環境之氣候與時間之不同而進行所需調整,當發生不正常超過標準差之數值,亦即超過該預警值上限之時,即發出預警訊號,可減少誤報之機率,並提高真正有火災情況之預報準確性,進而使本發明之産生能更進步、更實用、更符合使用者之所須,確已符合發明專利申請之要件,爰依法提出專利申請。 惟以上所述者,僅為本發明之較佳實施例而已,當不能以此限定本發明實施之範圍;故,凡依本發明申請專利範圍及發明說明書內容所作之簡單的等效變化與修飾,皆應仍屬本發明專利涵蓋之範圍內。Please refer to "Figures 1 to 3", which are block diagrams of a dynamic early warning fire protection device according to a preferred embodiment of the present invention, a comparison diagram of the learning early warning of the present invention and other methods, and the present invention. An illustration of the upper limit of the early warning value for the standard deviation of three times. As shown in the figure, the present invention is a dynamic early warning fire protection device, which is composed of a plurality of monitoring terminals 1, a cloud server 2 and a receiving terminal 3. The monitoring terminal 1 mentioned above is provided with a detection unit 11, a sensing unit 12 and a first communication unit 13. The detection unit 11 is a temperature detector, and the induction unit 12 is an alarm bell and a warning light; therefore, the status of the monitoring point includes a composite temperature state and value, an alarm state, and a warning light state. The cloud server 2 is connected to the monitoring terminals 1. It is provided with a statistical analysis unit 21, a second communication unit 22, several cloud communication modules 23, and a cloud database 24, and each cloud communication module Group 23 is provided with a subscriber identification unit (SIM card) 231. The second communication unit 22 communicates with the first communication unit 13 in a wired or wireless transmission manner. The receiving end 3 is connected to the cloud server 2. The receiving end 3 is a mobile Internet device, and may be any one of Android, iOS, or Windows smartphones or tablets. The status information received by the mobile Internet device is used for subsequent processing. If so, a new dynamic early-warning fire fighting device is constituted by the above-disclosed structure. When the present invention is in use, a plurality of monitoring terminals 1 each provide a detection condition of a monitoring point in a space, and each output a detection data to the cloud server 2 accordingly. The cloud server 2 receives detection data output by different detection units 11 to display the status of the monitoring points in different monitoring terminals 1, and the status of the different monitoring points is to determine whether the status of the corresponding monitoring point is abnormal according to different upper limit of the warning value. (As shown in Figure 2), and send an early warning signal to the sensing unit 12 of the monitoring terminal 1 when the abnormality occurs to drive the sensing unit 12 to emit a sound and a light warning, and then use this detection data with The early warning signal is integrated into a status message, and after being encoded, a status message with positioning coordinates is output to the receiving end 3. After receiving the status message of the cloud server 2, the receiving end 3 can display the monitoring point status and location of the monitoring end 1 where the abnormality occurs, so that the user can know the status of the event in real time. The positioning coordinates are stored in the user identification unit 24 of the cloud communication module 23. The above-mentioned cloud server 2 establishes a learning-type early warning by statistical analysis. As shown in FIG. 3, it performs instant detection on different detection units 11 in a timely manner within a set interval (for example, in units of 3 minutes). Sampling test data, selecting several adjacent interval samples from the detection data, calculating one average and one standard deviation of the adjacent interval samples, and formulating the warning based on the average and three times or more standard deviations And the warning signal is issued based on that one of the samples in the adjacent interval exceeds the warning value upper limit. At the same time, the present invention also delivers the status information to the selected cloud communication module 23 through the cloud server 2. Each cloud communication module 23 is equipped with a user identification module 231, which can be E-mail, The status message is sent to the receiving end 3 by means of a short message, mobile application (App), or social networking site, so that it includes a security management system (manager, user), a disaster response center (commander, response team), and Users such as customer service systems can obtain real-time conditions from a remote location to perform the necessary rescue treatment at the first time, thereby achieving the purpose of rapid rescue. In this way, the present invention can use the existing fire protection system of the building as the detection unit. The detection units are located in each floor and each space. Each detection unit collects background information of the environment for statistical purposes. The analysis unit performs sampling within a set interval, and the obtained data value will fall within a certain range to form an early warning value. Therefore, each detection unit has a different early warning curve graph, and can obtain different early warning dynamic curves, that is, the basement. There is an early warning curve for the basement, an early warning curve for the top floor, etc., so that each place has its own early warning value. Finally, the standard deviation is analyzed statistically, which is three or three times. The above standard deviation gets the upper limit of the warning value. Therefore, the upper limit of the early warning value provided by the present invention is a dynamic value adjusted according to the environment. The required adjustment can be made according to the environment's climate and time. When an abnormal value exceeds the standard deviation, that is, the early warning value is exceeded. When the upper limit is reached, an early warning signal is issued, which can reduce the probability of false alarms and improve the accuracy of forecasting for real fire situations. In summary, the present invention is a dynamic early-warning fire fighting device, which can effectively improve various shortcomings. The upper limit of the early-warning value is a dynamic value that is adjusted according to the environment. It can be required according to the environment's climate and time. Adjustment. When an abnormal value exceeding the standard deviation occurs, that is, when the upper limit of the warning value is exceeded, an early warning signal is issued, which can reduce the probability of false alarms and improve the accuracy of the prediction of real fire situations, thereby making the invention It can be more advanced, more practical, and more in line with the needs of users. It has indeed met the requirements for patent applications for inventions and filed patent applications in accordance with the law. However, the above are only the preferred embodiments of the present invention, and the scope of implementation of the present invention cannot be limited by this; therefore, any simple equivalent changes and modifications made in accordance with the scope of the patent application and the contents of the invention specification of the present invention , All should still fall within the scope of the invention patent.
1‧‧‧監控端‧‧‧ monitor
11‧‧‧偵測單元 11‧‧‧ Detection Unit
12‧‧‧感應單元 12‧‧‧ induction unit
13‧‧‧第一通訊單元 13‧‧‧The first communication unit
2‧‧‧雲端伺服器 2‧‧‧ Cloud Server
21‧‧‧統計分析單元 21‧‧‧Statistical Analysis Unit
22‧‧‧第二通訊單元 22‧‧‧Second Communication Unit
23‧‧‧雲端通訊模組 23‧‧‧ Cloud Communication Module
231‧‧‧用戶辨識單元 231‧‧‧User Identification Unit
24‧‧‧雲端資料庫 24‧‧‧ Cloud Database
3‧‧‧接收端 ‧‧‧Receiving end
第1圖,係本發明一較佳實施例之動態預警消防裝置之方塊示意圖 。 第2圖,係本發明之學習式預警與其他方式之比較示意圖。 第3圖,係本發明取其三倍之標準差得到預警值上限示意圖。FIG. 1 is a block diagram of a dynamic early warning fire protection device according to a preferred embodiment of the present invention. Figure 2 is a comparison diagram of the learning-type early warning of the present invention and other methods. Figure 3 is a schematic diagram of the upper limit of the early warning value obtained by taking three times the standard deviation of the present invention.
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW105138323A TWI616852B (en) | 2016-11-22 | 2016-11-22 | Dynamic warning fire service |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW105138323A TWI616852B (en) | 2016-11-22 | 2016-11-22 | Dynamic warning fire service |
Publications (2)
Publication Number | Publication Date |
---|---|
TWI616852B TWI616852B (en) | 2018-03-01 |
TW201820284A true TW201820284A (en) | 2018-06-01 |
Family
ID=62189226
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW105138323A TWI616852B (en) | 2016-11-22 | 2016-11-22 | Dynamic warning fire service |
Country Status (1)
Country | Link |
---|---|
TW (1) | TWI616852B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109993950A (en) * | 2019-04-14 | 2019-07-09 | 杭州拓深科技有限公司 | A kind of big data fire prediction method based on fire protection warning equipment |
CN110751814A (en) * | 2019-10-16 | 2020-02-04 | 南京苏瑞科技实业有限公司 | Electrical fire monitoring system for rail transit and early warning analysis method thereof |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS61225169A (en) * | 1985-03-30 | 1986-10-06 | Nippon Tokushu Noyaku Seizo Kk | Novel benzoylurea, production thereof, and insecticide |
JP5190939B2 (en) * | 2008-03-31 | 2013-04-24 | ホーチキ株式会社 | Disaster prevention monitoring system |
JP2013134519A (en) * | 2011-12-26 | 2013-07-08 | Hitachi Ltd | Disaster monitoring network system and disaster monitoring method |
CN203396427U (en) * | 2013-08-28 | 2014-01-15 | 兰州大学 | Debris flow disaster-approaching monitoring system based on Internet of Things |
TWI537889B (en) * | 2014-06-25 | 2016-06-11 | 財團法人資訊工業策進會 | Disaster monitoring and pre-warning system and method thereof |
TWM500955U (en) * | 2014-10-17 | 2015-05-11 | Your Team Information Co Ltd | Intelligent disaster monitoring strained joint defense system |
-
2016
- 2016-11-22 TW TW105138323A patent/TWI616852B/en active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109993950A (en) * | 2019-04-14 | 2019-07-09 | 杭州拓深科技有限公司 | A kind of big data fire prediction method based on fire protection warning equipment |
CN110751814A (en) * | 2019-10-16 | 2020-02-04 | 南京苏瑞科技实业有限公司 | Electrical fire monitoring system for rail transit and early warning analysis method thereof |
Also Published As
Publication number | Publication date |
---|---|
TWI616852B (en) | 2018-03-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20220262221A1 (en) | Fire detection system | |
US9584773B2 (en) | Safety monitoring system capable of proactively detecting locations of terminal devices | |
KR101796945B1 (en) | Aspirating environmental sensor with webserver and email notification | |
CN105976116B (en) | Fire safety dynamic evaluation method and system based on Internet of things | |
KR101687477B1 (en) | A Method for Providing Event Occurrence Information Using Big Data and A System for the Same | |
KR20160085033A (en) | Learning type emergency detection system with multi-sensor and that method | |
WO2016026430A1 (en) | Smart alarm system | |
WO2022242253A1 (en) | Fire prevention monitoring method and apparatus for air conditioner, electronic device, and storage medium | |
TW201820284A (en) | Dynamic early-warning fire fighting device capable of reducing a probability of false alarms and increasing accuracy of predicting occurrence of fire situations | |
US20240161600A1 (en) | Self-testing fire sensing device for confirming a fire | |
JP2018506811A (en) | Multi-alarm remote monitoring system | |
KR101263291B1 (en) | Early warning system for disaster situation of wood traditional building | |
KR102473778B1 (en) | Artificial intelligence based smart fire detection device and non-fire alarm analysis system comprising the same | |
US11176799B2 (en) | Global positioning system equipped with hazard detector and a system for providing hazard alerts thereby | |
Mori et al. | Configuration-free propagation system for early fire alerts | |
TWI533261B (en) | A large number of obstacles to eliminate operating systems and methods | |
KR102407150B1 (en) | Emergency notification service system and method for Resident in House | |
CN114360194B (en) | Multi-point monitoring visual array type fire alarm system | |
US11836805B1 (en) | System and methods for detecting hazardous conditions | |
KR101675072B1 (en) | Data Processing System of Sensor Network System and Method thereof | |
KR20230079578A (en) | In the event of a fire, an on-site alarm system in a multi-living facility based on sensors and personal media | |
WO2019036957A1 (en) | Computer room smoke alarm system based on internet of things | |
CN113299033A (en) | System for determining and reporting field abnormal high temperature | |
TWM505031U (en) | Wireless security remote services device | |
TW201235981A (en) | Alarm system for remote emergency-viewing and method for the same |