WO2019036957A1 - 基于物联网的机房烟雾报警系统 - Google Patents

基于物联网的机房烟雾报警系统 Download PDF

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Publication number
WO2019036957A1
WO2019036957A1 PCT/CN2017/098706 CN2017098706W WO2019036957A1 WO 2019036957 A1 WO2019036957 A1 WO 2019036957A1 CN 2017098706 W CN2017098706 W CN 2017098706W WO 2019036957 A1 WO2019036957 A1 WO 2019036957A1
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smoke
data
room
times per
internet
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PCT/CN2017/098706
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English (en)
French (fr)
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付妍文
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深圳企管加企业服务有限公司
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Priority to PCT/CN2017/098706 priority Critical patent/WO2019036957A1/zh
Publication of WO2019036957A1 publication Critical patent/WO2019036957A1/zh

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00—Fire alarms; Alarms responsive to explosion
    • G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems

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  • the invention relates to the field of computer room monitoring, in particular to monitoring the computer room smoke based on sensor data to perform an alarm system.
  • the management equipment of the computer room is relatively backward. Some even adopt the mode of patrolling the computer room on a regular basis. This not only increases the burden on the management personnel, but also may result in false negatives reporting, and it is impossible to find security risks in a timely and accurate manner.
  • the object of the present invention is to solve the above problems, and provide a computer room smoke alarm system based on the Internet of Things, which is used for timely detecting the smoke hazard in the engine room and alarming to ensure the environmental safety of the equipment room.
  • the invention provides a computer room smoke alarm system based on the Internet of Things, comprising:
  • a smoke data collection module for collecting smoke data in a computer room environment
  • a data transmission module configured to transmit the smoke data
  • a data processing module configured to perform a judgment process on the received smoke data
  • a first alarm prompting module configured to notify the computer room management personnel immediately when the data processing module determines that smoke occurs in the equipment room
  • the second alarm prompting module is configured to: when the data processing module determines that the smoke concentration exceeds a certain threshold, send the dangerous situation to the fire rescue center and request rescue.
  • the smoke data includes the location where the smoke occurred, the smoke concentration, and the smoke photo.
  • the notification includes any one or any combination of a telephone, a short message, a mailbox, an instant messaging short message, or an instant messaging group message.
  • the instant messaging message is one or more of a WeChat message, a QQ message or a nail message.
  • the instant messaging group message is one or more of a WeChat group message, a QQ group message or a nail group message.
  • the frequency of collecting the smoke data is increased, and when the number of abnormalities is determined to be a preset number of times within a predetermined number of times, the abnormal alarm is issued to the engine room management personnel.
  • the frequency of collection of smoke data is increased by 1-3 orders of magnitude when it is first determined that an abnormality has occurred.
  • the collection frequency of the smoke data is once per second, 3 times per second, 5 times per second, 7 times per second, 9 times per second, 11 times per second, 10 per second, 10 per second Times, 50 times per second, 100 times per second, 500 times per second or 1000 times per second.
  • the threshold ranges from 500 ppm to 1000 ppm.
  • the smoke data acquisition module is an ion smoke sensor, a photoelectric smoke sensor and/or a gas sensitive smoke sensor.
  • the present invention Compared with the prior art, the present invention has the following beneficial effects: the present invention acquires the smoke data in the equipment room environment in real time by collecting the smoke data, and uploads it to the cloud for data processing, and immediately informs the engine room management personnel if the cloud determines the smoke in the equipment room, if the smoke The data exceeds the corresponding threshold and the danger is immediately sent to the fire rescue center.
  • the present invention performs two-level prompting and alarming, and can notify the computer room management personnel when the smoke is discovered, and immediately notify the fire rescue center when the dangerous situation may be serious, without waiting for the computer room management personnel to call again. Therefore, the fire rescue center can be prepared in advance to avoid accidents or dangers, so that the danger can be quickly resolved.
  • FIG. 1 shows a flow chart of an embodiment of an Internet of Things based room smoke alarm method of the present invention.
  • FIG. 2 is a block diagram of an embodiment of an Internet of Things based room smoke alarm system of the present invention.
  • the IoT-based room smoke alarm method of the present embodiment includes the following steps.
  • Step S10 collecting smoke data in the environment of the equipment room.
  • Step S12 Perform data processing on the collected smoke data.
  • the smoke data can be uploaded to a cloud server for data processing.
  • the smoke data includes the location where the smoke occurred, the smoke concentration, the smoke photo, and the like.
  • Step S14 Immediately notify the computer room management personnel when it is determined that smoke occurs in the equipment room.
  • the notification may be in any form or any combination of a telephone, a short message, a mailbox, an instant messaging short message, or an instant messaging group message. Since the smoke may also come in from other places outside the computer room, data processing needs to be judged after the smoke is collected. For example, it can be uploaded to a cloud server or a data processing center to determine whether the smoke is based on the smoke position, smoke concentration, and smoke photos. Produced in the machine room. If it is judged that the smoke is present in the equipment room, the computer room manager will be notified by telephone or other means in time. When the smoke is not dangerous, the engine room management personnel may be only a small amount of smoke generated by burning a certain equipment, or may be disposed of by the fire-fighting equipment when the danger is relatively small. The preferred form of the invention is to notify the room manager by telephone.
  • the instant messaging message is one or more of a WeChat message, a QQ message, or a nail message.
  • the instant messaging group message is one or more of a WeChat group message, a QQ group message or a nail group message.
  • Step S16 If the smoke concentration exceeds a certain threshold, the danger is sent to the fire rescue center and the rescue is requested.
  • the notification may be in the form of a telephone, a short message, a mailbox, an instant messaging short message or an instant messaging group message, or any combination thereof.
  • the best mode of the invention is to notify by phone and request assistance. When the smoke concentration reaches a certain threshold value, the invention judges that the dangerous situation is serious, and it is necessary to request professional firefighters to carry out dangerous situation control.
  • the threshold range of the present invention is from 500 ppm to 1000 ppm.
  • the frequency of collecting the smoke data is increased, and when the number of abnormalities is determined to be a preset number of times within a predetermined number of times, the abnormal alarm is issued to the engine room management personnel.
  • the frequency of collection of smoke data is increased by 1-3 orders of magnitude when it is first determined that an abnormality has occurred.
  • the acquisition frequency of the smoke data is once per second, 3 times per second, 5 times per second, 7 times per second, 9 times per second, 11 times per second, each time 10 times in a second, 50 times per second, 100 times per second, 500 times per second or 1000 times per second.
  • the Internet of Things-based room smoke alarm system of the present embodiment includes the following modules: a smoke data collection module 20, a data transmission module 21, a data processing module 22, a first alarm module 23, and a second alarm prompt module 24. .
  • the smoke data collection module 20 is configured to collect smoke data in a computer room environment.
  • the smoke data collection module 20 can employ various smoke sensors, such as an ion smoke sensor, a photoelectric smoke sensor, and/or a gas sensitive smoke sensor to obtain a smoke concentration, and at the same time, combine with the camera to obtain a smoke photo, and in addition, Smoke sensor settings tab for smoke location information.
  • various smoke sensors such as an ion smoke sensor, a photoelectric smoke sensor, and/or a gas sensitive smoke sensor to obtain a smoke concentration, and at the same time, combine with the camera to obtain a smoke photo, and in addition, Smoke sensor settings tab for smoke location information.
  • the data transmission module 21 uploads the collected smoke data to the data processing module 22.
  • the smoke data includes the location where the smoke occurred, the smoke concentration, the smoke photo, and the like.
  • the data transmission module 21 can perform communication transmission using a TCP/IP communication protocol.
  • the data processing module 22 performs a determination process on the received smoke data.
  • the data processing module 22 is typically disposed at the cloud server for determining based on receipt of the smoke data, including determining whether the smoke is present in the machine room and whether the smoke data exceeds a certain threshold.
  • the first alarm prompting module 23 immediately passes when the data processing module determines that smoke occurs in the equipment room. Know the computer room management staff.
  • the notification may be in the form of a telephone, a short message, a mailbox, an instant messaging short message or an instant messaging group message, or any combination thereof. Since the smoke may also come in from other places outside the machine room, the data processing module 22 needs to judge after collecting the smoke, and the cloud data processing module 22 can determine whether the smoke is in the machine room according to the smoke position, the smoke concentration, and the smoke photo. produce. If the data processing module 22 determines that the smoke is present in the equipment room, the computer room management personnel are notified in time by telephone or other means.
  • the engine room management personnel may be only a small amount of smoke generated by burning a certain equipment, or may be disposed of by the fire-fighting equipment when the danger is relatively small.
  • the preferred form of the invention is to notify the room manager by telephone.
  • the instant messaging message is one or more of a WeChat message, a QQ message, or a nail message.
  • the instant messaging group message is one or more of a WeChat group message, a QQ group message or a nail group message.
  • the second alarm prompting module 24 determines that the smoke concentration exceeds a certain threshold in the data processing module, sends the dangerous situation to the fire rescue center and requests rescue.
  • the notification may be in the form of a telephone, a short message, a mailbox, an instant messaging short message or an instant messaging group message, or any combination thereof.
  • the best mode of the invention is to notify by phone and request assistance.
  • the data processing module 22 determines that the smoke concentration reaches a certain threshold, the present invention judges that the dangerous situation is serious, and therefore requires professional firefighters to perform dangerous situation control.
  • the threshold range of the present invention is from 500 ppm to 1000 ppm.
  • the frequency of collecting the smoke data is increased, and when the number of abnormalities is determined to be a preset number of times within a predetermined number of times, the abnormal alarm is issued to the engine room management personnel.
  • the frequency of collection of smoke data is increased by 1-3 orders of magnitude when it is first determined that an abnormality has occurred.
  • the acquisition frequency of the smoke data is once per second, 3 times per second, 5 times per second, 7 times per second, 9 times per second, 11 times per second, each time 10 times in a second, 50 times per second, 100 times per second, 500 times per second or 1000 times per second.
  • the present invention acquires the smoke data in the equipment room environment by collecting the smoke data in real time, and uploads it to the cloud for data processing.
  • the cloud determines that smoke occurs in the equipment room
  • the cloud room management personnel are immediately notified, and if the smoke data exceeds the corresponding threshold, the dangerous situation is immediately sent.
  • the invention performs two-level prompting and alarming, and can notify the computer room management personnel when the smoke is discovered, and immediately notify the fire rescue center when the dangerous situation may be serious, without waiting for the computer room management personnel to call again, thereby allowing the fire rescue
  • the center is prepared in advance to avoid further accidents or dangers, so that the danger can be quickly resolved.
  • An embodiment of the present invention further provides an Internet of Things-based room smoke alarm device, including a memory and a processor, wherein the memory stores computer instructions executable on the processor, and the processor runs the computer instruction Any one of the Internet of Things-based room smoke alarm methods provided by the above embodiments of the present invention is executed.
  • the embodiment of the present invention further provides a computer readable storage medium, wherein the computer instruction is executed, and the computer instruction is executed to execute any one of the Internet of things-based room smoke alarm methods provided by the foregoing embodiments of the present invention.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: ROM, RAM, disk or CD.

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  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
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Abstract

一种基于物联网的机房烟雾报警系统，用于及时发现机房内烟雾险情并报警，以保障机房环境安全。其包括：烟雾数据采集模块（20），用于采集机房环境中的烟雾数据；数据传输模块（21），用于传输所述烟雾数据；数据处理模块（22），用于对接收到的烟雾数据进行判断处理；第一警报提示模块（23），用于在所述数据处理模块判断机房内出现烟雾时立即通知机房管理人员；以及第二警报提示模块（24），用于在所述数据处理模块（22）判断烟雾浓度超过一定阈值，将险情发送给消防救援中心并请求救援。通过进行两级提示和报警，使险情得到有效解决。

Description

基于物联网的机房烟雾报警系统 技术领域
本发明涉及机房监控领域，尤其涉及基于传感器数据对计算机机房烟雾进行监控从而进行报警系统。
背景技术
随着互联网技术的发展，尤其是近些年物联网概念愈来愈火热，数据中心机房数量越来越多。机房中存放大量的计算机系统、服务器等设备，充当着各个行业信息交换的枢纽。因此，对数据中心机房进行科学管理极其重要。
以前人们对机房监控的重点多集中在防止黑客入侵，电脑病毒、网络故障、数据备份等方面，而忽略了机房环境安全。不安全的机房环境可能对机房内的设备造成隐患或故障，这些隐患或故障可能是需要一段时间才被发现。而有些隐患可能对机房在短时间内造成毁灭性的损坏，比如火灾。机房火灾报道屡见不鲜，昂贵的机房设备在火灾中受到破坏，会导致巨额的经济损失。
目前机房管理设备比较落后，有些甚至还是采取专人值班定时巡查机房环境的方式，这不仅增加了管理人员的负担，而且还可能存在漏报误报的情况，无法及时和准确地发现安全隐患。
发明内容
本发明的目的在于解决上述问题，提供了一种基于物联网的机房烟雾报警系统，用于及时发现机房烟雾险情并报警，以保障机房环境安全。
本发明提供一种基于物联网的机房烟雾报警系统，包括：
烟雾数据采集模块，用于采集机房环境中的烟雾数据；
数据传输模块，用于传输所述烟雾数据；
数据处理模块，用于对接收到的烟雾数据进行判断处理；
第一警报提示模块，用于在所述数据处理模块判断机房内出现烟雾时立即通知机房管理人员；以及
第二警报提示模块，用于在所述数据处理模块判断烟雾浓度超过一定阈值，将险情发送给消防救援中心并请求救援。
所述烟雾数据包括烟雾发生的位置，烟雾浓度、烟雾照片。
所述通知包括以电话、短消息、邮箱、即时通讯短消息或即时通讯群组消息中的任一形式或任意组合形式。
优选地，上述的即时通讯消息为微信消息、QQ消息或钉钉消息中的一种或多种。
优选地，上述的即时通讯群组消息为微信群组消息、QQ群组消息或钉钉群组消息中的一种或多种。
优选地，在首次判断发生异常时，提高烟雾数据的采集频率，在预定次数内判断异常的次数多余设定次数时才向机房管理人员发出异常报警提示。
优选地，在首次判断发生异常时，烟雾数据的采集频率提高1-3个数量级。
优选地，上述烟雾数据的采集频率为每秒钟1次、每秒钟3次、每秒钟5次、每秒钟7次、每秒钟9次、每秒钟11次、每秒钟10次、每秒钟50次、每秒钟100次、每秒钟500次或每秒钟1000次。
优选地，所述阈值范围为500ppm～1000ppm。
优选地，所述烟雾数据采集模块为离子式烟雾传感器、光电式烟雾传感器和/或气敏式烟雾传感器。
本发明对比现有技术有如下的有益效果：本发明通过采集烟雾数据实时获取机房环境中的烟雾数据，并上传至云端进行数据处理，云端判断机房内出现烟雾时立即通知机房管理人员，如果烟雾数据超过对应的阈值，立即将险情发送给消防救援中心。对比现有技术，本发明进行两级提示和报警，可以在发现烟雾时先通知机房管理人员，并在险情时可能比较严重时立即通知消防救援中心，而无需等待机房管理人员再打电话联系，从而可以让消防救援中心提前做好准备避免事故或危险的进一步，使险情迅速得到解决。
附图说明
图1示出了本发明的基于物联网的机房烟雾报警方法的实施例的流程图。
图2示出了本发明的基于物联网的机房烟雾报警系统的实施例的模块图。
具体实施方式
下面结合附图和实施例对本发明作进一步的描述。
图1示出了本发明的基于物联网的机房烟雾报警方法的实施例的流程图。请参见图1，本实施例的基于物联网的机房烟雾报警方法包括如下的步骤。
步骤S10：采集机房环境中的烟雾数据。
步骤S12：将采集到的烟雾数据进行数据处理。
在一优选实施方式中，可以将烟雾数据上传到云端服务器进行数据处理。所述烟雾数据包括烟雾发生的位置，烟雾浓度、烟雾照片等。
步骤S14：判断机房内出现烟雾时立即通知机房管理人员。
所述通知可以以电话、短消息、邮箱、即时通讯短消息或即时通讯群组消息等任一形式或任意组合形式。由于烟雾也可能是从机房外部其他地方飘进来的，因此采集到烟雾之后需要进行数据处理判断，比如可上传至云端服务器或数据处理中心，根据烟雾位置，烟雾浓度以及烟雾照片等判断烟雾是否是机房内产生。如果判断烟雾出现在机房内，则及时以电话或其他形式通知机房管理人员。机房管理人员在烟雾并非是险情时比如可能只是某个设备烧了产生的少量烟雾，或是在险情比较小时可以通过消防设备自行处理。本发明最佳形式是以电话通知机房管理人员。
在一实施例中，上述的即时通讯消息为微信消息、QQ消息或钉钉消息中的一种或多种。上述的即时通讯群组消息为微信群组消息、QQ群组消息或钉钉群组消息中的一种或多种。
步骤S16：如果烟雾浓度超过一定阈值，将险情发送给消防救援中心并请求救援。
所述通知可以以电话、短消息、邮箱、即时通讯短消息或即时通讯群组消息任一形式或任意组合形式。本发明最佳方式以电话进行通知并请求救援。本发明在烟雾浓度达到一定阈值时，判断险情比较严重，需要请求专业消防人员进行险情控制。本发明所述阈值范围为500ppm～1000ppm。
在一实施例中，在首次判断发生异常时，提高烟雾数据的采集频率，在预定次数内判断异常的次数多余设定次数时才向机房管理人员发出异常报警提示。
在一实施例中，在首次判断发生异常时，烟雾数据的采集频率提高1-3个数量级。
在一实施例中，上述烟雾数据的采集频率为每秒钟1次、每秒钟3次、每秒钟5次、每秒钟7次、每秒钟9次、每秒钟11次、每秒钟10次、每秒钟50次、每秒钟100次、每秒钟500次或每秒钟1000次。
图2示出了本发明的基于物联网的机房烟雾报警系统的实施例的结构。请参见图2，本实施例的基于物联网的机房烟雾报警系统包括如下的模块：烟雾数据采集模块20、数据传输模块21，数据处理模块22、第一警报模块23、第二警报提示模块24。
所述烟雾数据采集模块20用于采集机房环境中的烟雾数据。所述烟雾数据采集模块20可以采用各种烟雾传感器，比如离子式烟雾传感器、光电式烟雾传感器和/或气敏式烟雾传感器，以获取烟雾浓度，同时与摄像头结合获取烟雾照片，另外，通过对烟雾传感器设置标签可获得烟雾位置信息。
所述数据传输模块21将采集到烟雾数据上传至数据处理模块22。所述烟雾数据包括烟雾发生的位置，烟雾浓度、烟雾照片等。所述数据传输模块21可采用TCP/IP通信协议进行通信传输。
所述数据处理模块22对接收到的烟雾数据进行判断处理。数据处理模块22通常设置在云端服务器，用于根据接收到烟雾数据进行判断，包括判断烟雾是否是在机房内出现，以及烟雾数据是否超过一定阈值。
所述第一警报提示模块23在数据处理模块判断机房内出现烟雾时立即通 知机房管理人员。所述通知可以以电话、短消息、邮箱、即时通讯短消息或即时通讯群组消息任一形式或任意组合形式。由于烟雾也可能是从机房外部其他地方飘进来的，因此采集到烟雾之后需要在数据处理模块22进行判断，云端数据处理模块22可以根据烟雾位置，烟雾浓度以及烟雾照片等判断烟雾是否是机房内产生。如果数据处理模块22判断烟雾出现在机房内，则及时以电话或其他形式通知机房管理人员。机房管理人员在烟雾并非是险情时比如可能只是某个设备烧了产生的少量烟雾，或是在险情比较小时可以通过消防设备自行处理。本发明最佳形式是以电话通知机房管理人员。在一实施例中，上述的即时通讯消息为微信消息、QQ消息或钉钉消息中的一种或多种。上述的即时通讯群组消息为微信群组消息、QQ群组消息或钉钉群组消息中的一种或多种。
所述第二警报提示模块24在数据处理模块判断烟雾浓度超过一定阈值，将险情发送给消防救援中心并请求救援。所述通知可以以电话、短消息、邮箱、即时通讯短消息或即时通讯群组消息任一形式或任意组合形式。本发明最佳方式以电话进行通知并请求救援。本发明在数据处理模块22判断烟雾浓度达到一定阈值时，判断险情比较严重，因此需要请求专业消防人员进行险情控制。本发明所述阈值范围为500ppm～1000ppm。
在一实施例中，在首次判断发生异常时，提高烟雾数据的采集频率，在预定次数内判断异常的次数多余设定次数时才向机房管理人员发出异常报警提示。
在一实施例中，在首次判断发生异常时，烟雾数据的采集频率提高1-3个数量级。
在一实施例中，上述烟雾数据的采集频率为每秒钟1次、每秒钟3次、每秒钟5次、每秒钟7次、每秒钟9次、每秒钟11次、每秒钟10次、每秒钟50次、每秒钟100次、每秒钟500次或每秒钟1000次。
因此，本发明通过采集烟雾数据实时获取机房环境中的烟雾数据，并上传至云端进行数据处理，云端判断机房内出现烟雾时立即通知机房管理人员，如果烟雾数据超过对应的阈值，立即将险情发送给消防救援中心。对比现有技术， 本发明进行两级提示和报警，可以在发现烟雾时先通知机房管理人员，并在险情时可能比较严重时立即通知消防救援中心，而无需等待机房管理人员再打电话联系，从而可以让消防救援中心提前做好准备避免事故或危险的进一步，使险情迅速得到解决。
本发明实施例还提供一种基于物联网的机房烟雾报警装置，包括存储器和处理器，所述存储器上存储有能够在所述处理器上运行的计算机指令，所述处理器运行所述计算机指令时执行本发明上述实施例提供的任一种基于物联网的机房烟雾报警方法。
本发明实施例还提供一种计算机可读存储介质，其上存储有计算机指令，所述计算机指令运行时执行本发明上述实施例提供的任一种基于物联网的机房烟雾报警方法。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储介质中，存储介质可以包括：ROM、RAM、磁盘或光盘等。
上述实施例是提供给本领域普通技术人员来实现或使用本发明的，本领域普通技术人员可在不脱离本发明的发明思想的情况下，对上述实施例做出种种修改或变化，因而本发明的保护范围并不被上述实施例所限，而应该是符合权利要求书提到的创新性特征的最大范围。

Claims (10)

  1. 一种基于物联网的机房烟雾报警系统，包括：
    烟雾数据采集模块，用于采集机房环境中的烟雾数据；
    数据传输模块，用于传输所述烟雾数据；
    数据处理模块，用于对接收到的烟雾数据进行判断处理；
    第一警报提示模块，用于在所述数据处理模块判断机房内出现烟雾时立即通知机房管理人员；以及
    第二警报提示模块，用于在所述数据处理模块判断烟雾浓度超过一定阈值，将险情发送给消防救援中心并请求救援。
  2. 根据权利要求1所述的基于物联网的机房烟雾报警系统，其特征在于，所述烟雾数据包括烟雾发生的位置，烟雾浓度、烟雾照片。
  3. 根据权利要求1所述的基于物联网的机房烟雾报警系统，其特征在于，所述通知包括以电话、短消息、邮箱、即时通讯短消息或即时通讯群组消息中的任一形式或任意组合形式。
  4. 根据权利要求3所述的基于物联网的机房烟雾报警系统，其特征在于，上述的即时通讯消息为微信消息、QQ消息或钉钉消息中的一种或多种。
  5. 根据权利要求3所述的基于物联网的机房烟雾报警系统，其特征在于，上述的即时通讯群组消息为微信群组消息、QQ群组消息或钉钉群组消息中的一种或多种。
  6. 根据权利要求1所述的基于物联网的机房烟雾报警系统，其特征在于，在首次判断发生异常时，提高烟雾数据的采集频率，在预定次数内判断异常的次数多余设定次数时才向机房管理人员发出异常报警提示。
  7. 根据权利要求6所述的基于物联网的机房烟雾报警系统，其特征在于，在首次判断发生异常时，烟雾数据的采集频率提高1-3个数量级。
  8. 根据权利要求7所述的基于物联网的机房烟雾报警系统，其特征在于，上述烟雾数据的采集频率为每秒钟1次、每秒钟3次、每秒钟5次、每秒钟7 次、每秒钟9次、每秒钟11次、每秒钟10次、每秒钟50次、每秒钟100次、每秒钟500次或每秒钟1000次。
  9. 根据权利要求5所述的基于物联网的机房烟雾报警系统，其特征在于，所述阈值范围为500ppm～1000ppm。
  10. 根据权利要求1所述的基于物联网的机房烟雾报警系统，其特征在于，所述烟雾数据采集模块为离子式烟雾传感器、光电式烟雾传感器和/或气敏式烟雾传感器。
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CN101847303A (zh) * 2009-03-26 2010-09-29 何玉玲 基于单片机语音数字联网火灾报警器设计
US20120171987A1 (en) * 2008-12-02 2012-07-05 Matthew James Newman Smoke or fire alarms
CN202711405U (zh) * 2012-08-01 2013-01-30 兰州商学院 一种多点分级火灾智能监测报警系统
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US20120171987A1 (en) * 2008-12-02 2012-07-05 Matthew James Newman Smoke or fire alarms
CN101847303A (zh) * 2009-03-26 2010-09-29 何玉玲 基于单片机语音数字联网火灾报警器设计
CN202711405U (zh) * 2012-08-01 2013-01-30 兰州商学院 一种多点分级火灾智能监测报警系统
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