CN115439998B - Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse - Google Patents
Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse Download PDFInfo
- Publication number
- CN115439998B CN115439998B CN202210954899.5A CN202210954899A CN115439998B CN 115439998 B CN115439998 B CN 115439998B CN 202210954899 A CN202210954899 A CN 202210954899A CN 115439998 B CN115439998 B CN 115439998B
- Authority
- CN
- China
- Prior art keywords
- alarm information
- cloud platform
- alarm
- correct
- intelligent gateway
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 239000000126 substance Substances 0.000 title abstract description 7
- 230000007613 environmental effect Effects 0.000 claims abstract description 36
- 230000002159 abnormal effect Effects 0.000 claims abstract description 6
- 239000000383 hazardous chemical Substances 0.000 claims description 29
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 26
- 239000000779 smoke Substances 0.000 claims description 7
- 230000001960 triggered effect Effects 0.000 claims description 5
- 230000004927 fusion Effects 0.000 description 11
- 238000000034 method Methods 0.000 description 11
- 239000007789 gas Substances 0.000 description 9
- 238000004891 communication Methods 0.000 description 7
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 7
- 230000008569 process Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004880 explosion Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000000737 periodic effect Effects 0.000 description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 2
- 229910002091 carbon monoxide Inorganic materials 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 125000004435 hydrogen atom Chemical class [H]* 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
-
- 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
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
- G08B21/16—Combustible gas alarms
-
- 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
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Combustion & Propulsion (AREA)
- Health & Medical Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Health & Medical Sciences (AREA)
- Toxicology (AREA)
- Alarm Systems (AREA)
Abstract
Description
技术领域technical field
本发明涉及危化品监测技术领域,特别是涉及一种危化品仓库云数联动监测分级报警系统。The invention relates to the technical field of hazardous chemicals monitoring, in particular to a cloud-data linkage monitoring and grading alarm system for hazardous chemicals warehouses.
背景技术Background technique
危化品仓储是危险化学品全过程管理中的重要阶段,若发生化学品起火、渗漏和爆炸等事故会严重危害人员安全并导致经济损失。因此,实时监控危化品仓库中的有害或易燃气体浓度、温湿度等参数可以有效预防事故的发生。Hazardous chemical storage is an important stage in the whole process management of hazardous chemicals. If accidents such as chemical fire, leakage and explosion occur, it will seriously endanger the safety of personnel and cause economic losses. Therefore, real-time monitoring of parameters such as the concentration of harmful or flammable gases, temperature and humidity in hazardous chemical warehouses can effectively prevent accidents.
随着物联网技术研究的不断深入,信息的获取愈发便捷,数据传输量也不断增加。但现阶段通过无线传感网络获取到的原始信息因为信息形式和内容不统一、信息时空关系不一致,上报格式不统一等原因而具有显著的不确定性。此外,当事件判断形成结果时,工作人员难以在第一时间赶往现场,因此及时对事故现场的相关设备进行远程动作也尤为重要。With the continuous deepening of Internet of Things technology research, the acquisition of information has become more convenient, and the amount of data transmission has also continued to increase. However, at this stage, the original information obtained through the wireless sensor network has significant uncertainty due to the inconsistency of the form and content of the information, the inconsistency of the time-space relationship of the information, and the inconsistency of the reporting format. In addition, when the event judgment results, it is difficult for the staff to rush to the scene in the first time, so it is particularly important to perform remote actions on the relevant equipment at the accident site in a timely manner.
目前,危险化学品的常规监测方法主要是完成易燃易爆气体的周期监测,在发生异常情况下无明显的报警措施,需要大量人力物力开展定时观测,且监测设备由于来自不同的厂家导致报警的方式不同,无法形成统一的、简便的监控手段,急需一种支持事件型状态消息激活和多元融合综合信息采集报警系统。At present, the routine monitoring method of hazardous chemicals is mainly to complete the periodic monitoring of flammable and explosive gases. In the event of an abnormality, there is no obvious alarm measure. It requires a lot of manpower and material resources to carry out regular observation, and the monitoring equipment is from different manufacturers. The methods are different, and it is impossible to form a unified and simple monitoring method. There is an urgent need for an event-based status message activation and multiple fusion comprehensive information collection and alarm system.
发明内容Contents of the invention
本发明所要解决的技术问题是提供一种危化品仓库云数联动监测分级报警系统,通过两级报警判断,并在判断过程中进行融合分析,能够有效保证危化品仓库的安全。The technical problem to be solved by the present invention is to provide a cloud-data linkage monitoring and grading alarm system for hazardous chemical warehouses, which can effectively ensure the safety of hazardous chemical warehouses through two-level alarm judgment and fusion analysis during the judgment process.
本发明解决其技术问题所采用的技术方案是:提供一种危化品仓库云数联动监测分级报警系统,包括依次连接的前端传感器模组、若干智能网关、数据库和云平台,所述云平台和若干智能网关连接;所述前端传感器模组用于采集危化品仓库的环境数据并发送给每个智能网关,每个智能网关将接收到的环境数据进行格式统一后经由数据库发送至云平台;The technical solution adopted by the present invention to solve the technical problem is to provide a cloud-data linkage monitoring and grading alarm system for hazardous chemical warehouses, including sequentially connected front-end sensor modules, several intelligent gateways, databases and cloud platforms, the cloud platform Connect with several intelligent gateways; the front-end sensor module is used to collect environmental data of hazardous chemical warehouses and send them to each intelligent gateway, and each intelligent gateway will unify the format of the received environmental data and send it to the cloud platform via the database ;
当所述前端传感器模组采集的环境数据异常时则触发报警,并将报警信息发送至每个智能网关;每个智能网关根据接收到的环境数据判断报警信息是否正确,并将报警信息通过数据库发送至云平台;所述云平台根据接收到的环境数据再次判断报警信息是否正确。When the environmental data collected by the front-end sensor module is abnormal, an alarm is triggered, and the alarm information is sent to each intelligent gateway; each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and passes the alarm information through the database Send to the cloud platform; the cloud platform judges whether the alarm information is correct again according to the received environmental data.
所述每个智能网关根据接收到的环境数据判断报警信息是否正确,具体为:每个智能网关按预设权重由高到低判断前端传感器模组中各个传感器采集的环境数据是否超标,若至少一个传感器采集的环境数据超标,则所述智能网关判断前端传感器模组的报警信息正确,并发送报警信息至数据库形成前端报警。Each of the intelligent gateways judges whether the alarm information is correct according to the received environmental data, specifically: each intelligent gateway judges whether the environmental data collected by each sensor in the front-end sensor module exceeds the standard according to the preset weight from high to low, if at least If the environmental data collected by a sensor exceeds the standard, the intelligent gateway judges that the alarm information of the front-end sensor module is correct, and sends the alarm information to the database to form a front-end alarm.
所述每个智能网关根据接收到的环境数据判断报警信息是否正确,还包括:将温度传感器或湿度传感器采集的数据与图像传感器采集的图像数据进行联合分析,来判断前端传感器模组的报警信息是否正确。Each of the intelligent gateways judges whether the alarm information is correct according to the received environmental data, and further includes: jointly analyzing the data collected by the temperature sensor or the humidity sensor and the image data collected by the image sensor to judge the alarm information of the front-end sensor module is it right or not.
所述将温度传感器或湿度传感器采集的数据与图像传感器采集的图像数据进行联合分析,具体为:The joint analysis of the data collected by the temperature sensor or the humidity sensor and the image data collected by the image sensor is specifically:
若温度传感器采集的温度数据≥温度阈值、且图像传感器采集的图像数据检存在火焰或烟雾,则前端传感器模组的报警信息正确;If the temperature data collected by the temperature sensor is greater than or equal to the temperature threshold and there is flame or smoke in the image data collected by the image sensor, the alarm information of the front-end sensor module is correct;
若湿度传感器采集的湿度数据≥湿度阈值、且图像传感器采集的图像数据的地面湿度≥地面湿度阈值,则前端传感器模组的报警信息正确。If the humidity data collected by the humidity sensor ≥ the humidity threshold, and the ground humidity of the image data collected by the image sensor ≥ the ground humidity threshold, the alarm information of the front-end sensor module is correct.
所述云平台根据接收到的环境数据再次判断报警信息是否正确,还包括:所述云平台通过判别引起所述前端报警的智能网关数量是否超过预设数量,来判断报警信息是否正确。The cloud platform judges whether the alarm information is correct again according to the received environmental data, and further includes: the cloud platform judges whether the alarm information is correct by judging whether the number of intelligent gateways that cause the front-end alarm exceeds a preset number.
所述智能网关连接有设置在危化品仓库内的风机和水泵,当所述智能网关根据接收到的环境数据判断报警信息正确时,则控制所述风机或水泵启动。The intelligent gateway is connected with a fan and a water pump installed in the hazardous chemicals warehouse, and when the intelligent gateway judges that the alarm information is correct according to the received environmental data, it controls the start of the fan or the water pump.
当所述云平台根据接收到的环境数据再次判断报警信息正确时,则所述云平台启动后端报警。When the cloud platform again judges that the alarm information is correct according to the received environmental data, the cloud platform starts the backend alarm.
当所述云平台根据接收到的环境数据再次判断报警信息是否正确时,若所述云平台判断的报警信息和智能网关判断的报警信息不一致时,则所述云平台通过智能网关重新控制所述风机或水泵启动。When the cloud platform judges whether the alarm information is correct again according to the received environmental data, if the alarm information judged by the cloud platform is inconsistent with the alarm information judged by the intelligent gateway, the cloud platform re-controls the alarm information through the intelligent gateway. Fan or pump starts.
有益效果Beneficial effect
由于采用了上述的技术方案,本发明与现有技术相比,具有以下的优点和积极效果:本发明为危化品仓库的存储和管理提供了新的解决方案和手段,使各类敏感元件能够做到信息融合、统一管理,实现更高效的现场监控和调度;本发明通过云数联动综合信息判断,减少了事故误报的可能,同时提高了现场联动处置的效率和事故发生时的信息获取速度。Due to the adoption of the above-mentioned technical solution, the present invention has the following advantages and positive effects compared with the prior art: the present invention provides new solutions and means for the storage and management of hazardous chemical warehouses, making various sensitive components It can achieve information fusion and unified management, and realize more efficient on-site monitoring and dispatching; the present invention reduces the possibility of misreporting accidents through cloud-digital linkage comprehensive information judgment, and at the same time improves the efficiency of on-site linkage disposal and information when accidents occur Get speed.
附图说明Description of drawings
图1是本实施方式的系统总体架构示意图;FIG. 1 is a schematic diagram of the overall system architecture of the present embodiment;
图2是本实施方式的系统工作流程图;Fig. 2 is the system working flowchart of present embodiment;
图3是本实施方式的前端报警流程图;Fig. 3 is the front-end alarm flowchart of the present embodiment;
图4是本实施方式的后端报警流程图。FIG. 4 is a flowchart of the back-end alarm in this embodiment.
具体实施方式Detailed ways
下面结合具体实施例,进一步阐述本发明。应理解,这些实施例仅用于说明本发明而不用于限制本发明的范围。此外应理解,在阅读了本发明讲授的内容之后,本领域技术人员可以对本发明作各种改动或修改,这些等价形式同样落于本申请所附权利要求书所限定的范围。Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.
本发明的实施方式涉及一种危化品仓库云数联动监测分级报警系统,请参阅图1,包括互相连接的前端和后端,前端包括依次连接的前端传感器模组和智能网关,后端包括依次连接的数据库和云平台。前端传感器模组通过有线和无线通信方式集成温度、湿度、一氧化碳浓度、甲烷浓度、风速、风向、水压、图像等多类敏感元件,通过智能网关汇总数据、云平台融合判断及云数联动实现对监测库房内外环境、危险化学品堆放形态以及消防救援设施等安全监管数据在线采集以及多源数据本地融合分析报警。The embodiment of the present invention relates to a cloud-data linkage monitoring and grading alarm system for hazardous chemical warehouses. Please refer to Figure 1, which includes a front end and a back end connected to each other. The database and cloud platform connected in turn. The front-end sensor module integrates temperature, humidity, carbon monoxide concentration, methane concentration, wind speed, wind direction, water pressure, image and other sensitive elements through wired and wireless communication methods, and realizes data aggregation through intelligent gateway, cloud platform fusion judgment and cloud data linkage Online collection of safety supervision data such as monitoring the internal and external environment of the warehouse, the stacking form of hazardous chemicals, and fire rescue facilities, as well as local fusion analysis and alarm of multi-source data.
以下对本实施方式进行详细介绍:The present embodiment is introduced in detail as follows:
前端传感器模组用来感知仓库内各类环境数据,除风速、风向传感器外都具备事件触发功能;智能网关具备处理前后端通信、传感器不同数据格式的统一和前端报警功能。当传感器出现异常数据时会触发声光报警,智能网关经本地判决报警信息正确后可控制现场风机或水泵等设备启动,同时发送事件包(由报警信息生成)到数据库形成前端报警,由云平台执行进一步判决处理。智能网关判决的前端报警为一级报警,云平台判决的后端报警为二级报警。The front-end sensor module is used to perceive various environmental data in the warehouse, except for the wind speed and wind direction sensors, all have event triggering functions; the intelligent gateway has the functions of processing front-end and back-end communication, unifying different data formats of sensors, and front-end alarm functions. When the sensor has abnormal data, it will trigger an audible and visual alarm. After the local judgment of the alarm information is correct, the intelligent gateway can control the start-up of on-site fans or pumps and other equipment, and at the same time send the event package (generated from the alarm information) to the database to form a front-end alarm. The cloud platform Perform further decision processing. The front-end alarm judged by the smart gateway is a first-level alarm, and the back-end alarm judged by the cloud platform is a second-level alarm.
需要注意的是,智能网关会发送数据包给数据库,再由数据库传送至云平台。数据包包括事件包和周期包,事件包由智能网关的报警信息生成,能够即时上传云平台;周期包为正常的传感器数据采集信息,周期性地上传至云平台。It should be noted that the intelligent gateway will send data packets to the database, and then the database will transmit them to the cloud platform. The data package includes event package and period package. The event package is generated by the alarm information of the intelligent gateway and can be uploaded to the cloud platform immediately; the period package is the normal sensor data collection information, which is periodically uploaded to the cloud platform.
进一步地,每个智能网关按预设权重由高到低判断前端传感器模组中各个传感器采集的环境数据是否超标,若至少一个传感器采集的环境数据超标,则所述智能网关判断前端传感器模组的报警信息正确,并发送报警信息至数据库形成前端报警。Further, each intelligent gateway judges whether the environmental data collected by each sensor in the front-end sensor module exceeds the standard according to the preset weight from high to low. If the environmental data collected by at least one sensor exceeds the standard, the intelligent gateway judges whether the environmental data collected by the front-end sensor module exceeds the standard. The alarm information is correct, and the alarm information is sent to the database to form a front-end alarm.
进一步地,每个智能网关根据接收到的环境数据判断报警信息是否正确,还包括:将温度传感器或湿度传感器采集的数据与图像传感器采集的图像数据进行联合分析,具体如下:Further, each intelligent gateway judges whether the alarm information is correct according to the received environmental data, and also includes: jointly analyzing the data collected by the temperature sensor or the humidity sensor and the image data collected by the image sensor, as follows:
(1)若温度传感器采集的温度数据≥温度阈值、且图像传感器采集的图像数据检存在火焰或烟雾,则前端传感器模组的报警信息正确;(1) If the temperature data collected by the temperature sensor is greater than or equal to the temperature threshold, and the image data collected by the image sensor detects flame or smoke, the alarm information of the front-end sensor module is correct;
(2)若湿度传感器采集的湿度数据≥湿度阈值、且图像传感器采集的图像数据的地面湿度≥地面湿度阈值,则前端传感器模组的报警信息正确。(2) If the humidity data collected by the humidity sensor ≥ the humidity threshold, and the ground humidity of the image data collected by the image sensor ≥ the ground humidity threshold, the alarm information of the front-end sensor module is correct.
进一步地,云平台不仅能够按照智能网关判断的过程进行重新判断,还可以通过判别引起所述前端报警的智能网关数量是否超过预设数量,来判断报警信息是否正确。Furthermore, the cloud platform can not only re-judge according to the smart gateway judgment process, but also judge whether the alarm information is correct by judging whether the number of smart gateways that cause the front-end alarm exceeds a preset number.
进一步地,智能网关连接有设置在危化品仓库内的风机和水泵,当所述智能网关根据接收到的环境数据判断报警信息正确时,则控制所述风机或水泵启动。Further, the smart gateway is connected with a fan and a water pump installed in the hazardous chemical warehouse, and when the smart gateway judges that the alarm information is correct according to the received environmental data, it controls the fan or the water pump to start.
进一步地,当所述云平台根据接收到的环境数据再次判断报警信息是否正确时,若所述云平台判断的报警信息和智能网关判断的报警信息不一致时,则所述云平台通过智能网关重新控制所述风机或水泵启动。Further, when the cloud platform judges whether the alarm information is correct again according to the received environmental data, if the alarm information judged by the cloud platform is inconsistent with the alarm information judged by the intelligent gateway, then the cloud platform renews the alarm information through the intelligent gateway. Control the fan or water pump to start.
具体地,智能网关的本地判决为了更快的对突发事件进行响应只采集了接入自身的传感器的数据,云平台判决则是汇聚了更多其他智能网关数据的综合判决。若智能网关判断不需要打开水泵或风机而后续云平台判决需要打开,则会下发智能网关打开风机和水泵的命令;若智能网关判断需要打开水泵或风机而后续云平台判决不需要打开,则会下发智能网关关闭风机和水泵的命令。Specifically, the local judgment of the smart gateway only collects the data of the sensors connected to itself in order to respond to emergencies faster, while the judgment of the cloud platform is a comprehensive judgment that gathers more data from other smart gateways. If the smart gateway judges that the water pump or fan does not need to be turned on and the subsequent cloud platform judges that it needs to be turned on, it will issue a command to the smart gateway to turn on the fan and water pump; if the smart gateway judges that the water pump or fan needs to be turned on but the subsequent cloud platform judges that it does not need to be turned on, The smart gateway will issue commands to shut down the fans and water pumps.
上述云数联动即确定事件发生后,云平台迅速发送报警信息并将现场各项元器件参数值及视频推流给相关人员,根据事件类型远程使一个或多个智能网关下发控制命令给仓库风机、水泵或其他继电器可控设备进行响应动作。The above-mentioned cloud-digital linkage means that after the occurrence of an event is determined, the cloud platform quickly sends an alarm message and pushes the parameter values and videos of various components on site to relevant personnel, and remotely enables one or more intelligent gateways to issue control commands to the warehouse according to the type of event Fans, pumps, or other relay-controlled devices respond in response.
如图2所示,本实施方式包括以下步骤:As shown in Figure 2, this embodiment includes the following steps:
(a)前端传感器模组上报报警信息至智能网关;(a) The front-end sensor module reports alarm information to the intelligent gateway;
(b)智能网关判决报警信息、下发控制命令;(b) The intelligent gateway judges the alarm information and issues control commands;
(c)智能网关上报前端传感器报警信息(即事件包)至数据库;(c) The intelligent gateway reports the front-end sensor alarm information (that is, the event package) to the database;
(d)数据库接收前端传感器报警信息并发送至云平台;(d) The database receives the front-end sensor alarm information and sends it to the cloud platform;
(e)(f)云平台判决报警信息、联动控制;(e) (f) The cloud platform judges the alarm information and linkage control;
(g)后端报警和现场信息推送;(g) Back-end alarm and on-site information push;
(h)相关人员处理和反馈。(h) Relevant personnel processing and feedback.
所述步骤(b)还包括以下步骤:Described step (b) also comprises the following steps:
(b1)根据多传感器不同权重的数据进行融合判断;(b1) Carry out fusion judgment according to data with different weights from multiple sensors;
(b2)智能网关判断报警信息是否正确,若正确则执行步骤(b3)。若判断报警信息误报,则发送周期包至数据库。对于每个(a),重复执行步骤(b1)~(b2);(b2) The intelligent gateway judges whether the alarm information is correct, and if it is correct, executes step (b3). If it is judged that the alarm information is misreported, a periodic packet is sent to the database. For each (a), repeat steps (b1)~(b2);
(b3)发送事件包至数据库并通过下行接口输出控制水泵、风机或其他设备开启。(b3) Send the event packet to the database and output through the downlink interface to control the start of the water pump, fan or other equipment.
所述步骤(e)还包括以下步骤:Described step (e) also comprises the following steps:
(e1)查询历史数据,接入其他智能网关数据进行融合判断;(e1) Query historical data, access other intelligent gateway data for fusion judgment;
(e2)云平台判断报警信息是否正确,若正确则执行步骤(e3)。若判断报警信息误报,则对数据进行云平台展示。对于每个(d),重复执行步骤(e1)~(e2);(e2) The cloud platform judges whether the alarm information is correct, and if it is correct, executes step (e3). If it is judged that the alarm information is misreported, the data will be displayed on the cloud platform. For each (d), repeat steps (e1)~(e2);
(e3)通过云平台对比预设模型判别事故类型(如气体泄漏、爆炸、烟雾、火焰报警等)和处理措施。(e3) Distinguishing accident types (such as gas leaks, explosions, smoke, flame alarms, etc.) and handling measures by comparing preset models on the cloud platform.
所述步骤(f)还包括以下步骤:Described step (f) also comprises the following steps:
(f1)根据事故类型和处理措施下发数据包给一个或多个智能网关;(f1) Send data packets to one or more intelligent gateways according to the accident type and handling measures;
(f2)智能网关通过下行接口输出控制风机、水泵或其他设备开启。(f2) The intelligent gateway controls the fan, water pump or other equipment to be turned on through the output of the downlink interface.
进一步地,由于前端包括前端传感器模组和智能网关,为实现云数联动监测系统功能目标,智能网关提供多路模拟量采集端口和开关量输入输出端口,也可同时负责不同类型数字域信号通信方式,包括RS485协议、ModBus协议、TCP/IP协议等通信协议的消息解析,拆包获取关键的温度、湿度、CO/CH4浓度、风速、水压、图像等量化数据,通过约定的数据格式进行封包操作,为数据的转发提供统一的协议数据格式和对应的通信机制。对于存储不同危险化学品的仓库,前端也会配备不同传感器,其中,气体感知包括但不限于一氧化碳、甲烷和氢气传感器等;环境感知包括温湿度传感器和风速风向传感器;图像感知包括摄像头。模拟量传感器统一输出4~20mA信号至数据处理单元,经过公式转换形成数据,根据通信协议打包后通过RS485接口每隔20s发送至通信单元,摄像头以无线形式发送给云平台(摄像头内部有4G模块直接发送至云平台)。云平台反馈给智能网关的命令由8路下行端口通过继电器控制相应风机、水泵动作,达到联动控制的目的。Furthermore, since the front-end includes the front-end sensor module and the smart gateway, in order to realize the functional goal of the cloud-digital linkage monitoring system, the smart gateway provides multiple analog quantity acquisition ports and switch quantity input and output ports, and can also be responsible for different types of digital domain signal communication at the same time Method, including message analysis of communication protocols such as RS485 protocol, ModBus protocol, TCP/IP protocol, unpacking to obtain key quantitative data such as temperature, humidity, CO/CH4 concentration, wind speed, water pressure, images, etc., through the agreed data format Packet operation provides a unified protocol data format and corresponding communication mechanism for data forwarding. For warehouses that store different hazardous chemicals, the front end will also be equipped with different sensors, among which gas sensing includes but not limited to carbon monoxide, methane and hydrogen sensors, etc.; environmental sensing includes temperature and humidity sensors and wind speed and direction sensors; image sensing includes cameras. The analog sensor uniformly outputs a 4-20mA signal to the data processing unit, which is converted into data by a formula, and is packaged according to the communication protocol and sent to the communication unit through the RS485 interface every 20s, and the camera sends it to the cloud platform in a wireless form (there is a 4G module inside the camera sent directly to the cloud platform). The commands fed back from the cloud platform to the smart gateway are controlled by the 8 downlink ports through the relays to control the actions of the corresponding fans and water pumps to achieve the purpose of linkage control.
前端报警具体报警流程如图3所示。The specific alarm process of the front-end alarm is shown in Figure 3.
云数联动的融合判断由云平台进行多源数据融合,并和云平台中预设的判断策略进行比对,形成后端决策,并反馈给一个或多个智能网关对风机和水泵进行动作。对于不同仓库中存储的化学品不同,前端采样的特征值间的权重也不同,因此根据存储的化学品变化可以在前端进行事件判断权重更改。本实施方式以由安装CO、CH4气体传感器的仓库举例。For the fusion judgment of cloud-digital linkage, the cloud platform performs multi-source data fusion, and compares it with the preset judgment strategy in the cloud platform to form a back-end decision, and feeds back to one or more intelligent gateways to act on fans and water pumps. For different chemicals stored in different warehouses, the weights between the feature values sampled by the front end are also different, so the event judgment weight can be changed at the front end according to the changes of stored chemicals. In this embodiment, a warehouse installed with CO and CH4 gas sensors is taken as an example.
前端传感器模组报警后,智能网关根据预设的判决顺序对数据进行融合判断(需要注意,各个传感器的触发报警的标准和智能网关判定报警信息是否正确的标准不同):先判断CO浓度,若ppm≥30,则判断有气体泄露,触发前端报警并上报事件包至数据库;反之则继续判断CH4浓度,若%LEL≥25%,则判断有气体泄露,触发前端报警并上报事件包至数据库;反之则继续判断水压数据,若压力值≥1MPa则触发前端报警并上报事件包至数据库,反之则判断温湿度数据并接入摄像头画面进行经过图像算法对比联合判断,若温度≥45℃且图像检测到火焰或烟雾,则触发前端报警并上报事件包至数据库;若湿度≥80%且图像检测到地面湿润,则触发前端报警并上报事件包至数据库,若无异常则不触发报警。After the front-end sensor module alarms, the smart gateway performs fusion judgment on the data according to the preset judgment sequence (it should be noted that the triggering alarm standard of each sensor is different from the smart gateway’s standard for judging whether the alarm information is correct or not): judge the CO concentration first, if ppm≥30, it is judged that there is gas leakage, triggers the front-end alarm and reports the event packet to the database; otherwise, continues to judge the CH4 concentration, if %LEL≥25%, then judges that there is gas leakage, triggers the front-end alarm and reports the event packet to the database; Otherwise, it will continue to judge the water pressure data. If the pressure value is ≥ 1MPa, it will trigger the front-end alarm and report the event package to the database. Otherwise, it will judge the temperature and humidity data and access the camera screen for joint judgment through image algorithm comparison. When flame or smoke is detected, the front-end alarm is triggered and the event package is reported to the database; if the humidity is ≥80% and the image detects that the ground is wet, the front-end alarm is triggered and the event package is reported to the database. If there is no abnormality, no alarm is triggered.
数据库将事件包或周期包发送至云平台后,通过对历史数据和相邻点位的智能网关数据与报警数据进行融合判断:若一号智能网关上报温度和烟雾图像异常,二号智能网关上报正常,则考虑为违禁区吸烟,判决为误报。若判断为异常数据则继续判断事故类型(如气体泄漏、爆炸、烟雾、火焰报警等),确认事故类型后发送下行指令到智能网关,由智能网关控制继电器启动相应点水泵或风机以达到配合消防人员灭火或排出危化品泄露后产生气体的目的。此外,对于不经常进行搬运活动的危化品仓库,摄像头通过识别到物品变化后会单独产生事件报告。若某前端传感器多次误报,云平台会对比仓库内其他智能网关数据和历史数据,若确实存在异常则可降低其权重即判决顺序或增高其触发阈值。报警流程如图4所示。After the database sends the event package or periodic package to the cloud platform, it judges by fusing the historical data and the smart gateway data and alarm data of adjacent points: if the No. 1 smart gateway reports abnormal temperature and smoke images, the No. 2 smart gateway reports If it is normal, it is considered to be smoking in violation of the restricted area, and the judgment is false positive. If it is judged as abnormal data, continue to judge the type of accident (such as gas leakage, explosion, smoke, flame alarm, etc.), after confirming the type of accident, send a downlink command to the smart gateway, and the smart gateway controls the relay to start the corresponding water pump or fan to achieve fire protection The purpose of personnel extinguishing a fire or discharging the gas generated after the leakage of hazardous chemicals. In addition, for hazardous chemical warehouses that do not carry out frequent handling activities, the camera will generate an event report separately after identifying changes in items. If a front-end sensor makes false alarms many times, the cloud platform will compare the data of other intelligent gateways in the warehouse with historical data. If there is indeed an abnormality, its weight, that is, the order of judgment, can be reduced or its trigger threshold can be increased. The alarm process is shown in Figure 4.
由此可见,本发明面向危险化学品储存环节感知智能化和监管精细化应用需求,突破监测预警传感关键技术,通过多传感信息融合技术实现危险化学品特征抽取、识别或判断,能够有效保证危化仓库的安全。It can be seen that the present invention faces the application requirements of intelligent perception and refined supervision in the storage of hazardous chemicals, breaks through the key technology of monitoring and early warning sensing, and realizes feature extraction, identification or judgment of hazardous chemicals through multi-sensing information fusion technology, which can effectively Ensure the safety of hazardous chemical warehouses.
Claims (6)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210954899.5A CN115439998B (en) | 2022-08-10 | 2022-08-10 | Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210954899.5A CN115439998B (en) | 2022-08-10 | 2022-08-10 | Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115439998A CN115439998A (en) | 2022-12-06 |
CN115439998B true CN115439998B (en) | 2023-09-01 |
Family
ID=84243270
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210954899.5A Active CN115439998B (en) | 2022-08-10 | 2022-08-10 | Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115439998B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116403381B (en) * | 2023-06-08 | 2023-09-01 | 光交澳(上海)智能科技有限公司 | Smoke monitoring method and device, and smoke alarm method and system |
CN116989897B (en) * | 2023-09-26 | 2023-12-22 | 山东聚亨源环保科技有限公司 | Low-power-consumption vehicle-mounted remote abnormality monitoring system for dangerous waste warehouse |
Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205229792U (en) * | 2015-12-23 | 2016-05-11 | 吉林大学 | Dangerous monitored control system in chemicals warehouse |
CN108391086A (en) * | 2018-02-27 | 2018-08-10 | 山东大学 | Fusion event perceives the industrial video linkage analysis method and system with position sensing |
CN108519118A (en) * | 2018-02-13 | 2018-09-11 | 上海物联网有限公司 | A monitoring system for environmental parameters of hazardous chemicals storage |
CN108550205A (en) * | 2018-03-21 | 2018-09-18 | 安徽祥源科技股份有限公司 | A kind of harmful influence room |
CN109637076A (en) * | 2018-11-09 | 2019-04-16 | 无锡市安泰安全技术服务有限公司 | A kind of hazardous chemical major hazard source on-line monitoring pre-alarm system |
CN110001499A (en) * | 2019-04-15 | 2019-07-12 | 南京市锅炉压力容器检验研究院 | A kind of harmful influence haulage vehicle leakage detecting and emergency disposal intelligent decision system and its operation process |
CN110533231A (en) * | 2019-08-13 | 2019-12-03 | 四川科达乐气象科技有限公司 | Disaster-ridden kind of monitoring and warning and emergency commading system |
CN111109896A (en) * | 2020-01-16 | 2020-05-08 | 上海西斯贝尔工业科技有限公司 | Intelligent dangerous chemical storage system |
CN111222426A (en) * | 2019-12-27 | 2020-06-02 | 宁波国际投资咨询有限公司 | Dangerous chemical safe transportation monitoring method, storage medium and control terminal |
CN111744129A (en) * | 2020-06-09 | 2020-10-09 | 浙江新高包装有限公司 | Hazardous chemical warehouse capable of automatically repairing |
CN111854844A (en) * | 2020-07-31 | 2020-10-30 | 上海应用技术大学 | Regional hazardous chemicals safety monitoring system |
CN111882010A (en) * | 2020-07-21 | 2020-11-03 | 杭州电子科技大学 | Dangerous chemical cabinet management system |
CN212749901U (en) * | 2020-09-17 | 2021-03-19 | 深圳安志生态环境有限公司 | Dangerous waste storage management system |
CN214051112U (en) * | 2020-11-04 | 2021-08-27 | 郭晓东 | Dangerous chemical storage safety management device |
CN113763676A (en) * | 2020-06-05 | 2021-12-07 | 中国环境科学研究院 | Intelligent dangerous chemical online monitoring and early warning system based on Internet of things technology |
CN114582098A (en) * | 2021-12-15 | 2022-06-03 | 浙江九龙物联科技有限公司 | Kitchen safety coefficient that gas company linked and reported to police |
-
2022
- 2022-08-10 CN CN202210954899.5A patent/CN115439998B/en active Active
Patent Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN205229792U (en) * | 2015-12-23 | 2016-05-11 | 吉林大学 | Dangerous monitored control system in chemicals warehouse |
CN108519118A (en) * | 2018-02-13 | 2018-09-11 | 上海物联网有限公司 | A monitoring system for environmental parameters of hazardous chemicals storage |
CN108391086A (en) * | 2018-02-27 | 2018-08-10 | 山东大学 | Fusion event perceives the industrial video linkage analysis method and system with position sensing |
CN108550205A (en) * | 2018-03-21 | 2018-09-18 | 安徽祥源科技股份有限公司 | A kind of harmful influence room |
CN109637076A (en) * | 2018-11-09 | 2019-04-16 | 无锡市安泰安全技术服务有限公司 | A kind of hazardous chemical major hazard source on-line monitoring pre-alarm system |
CN110001499A (en) * | 2019-04-15 | 2019-07-12 | 南京市锅炉压力容器检验研究院 | A kind of harmful influence haulage vehicle leakage detecting and emergency disposal intelligent decision system and its operation process |
CN110533231A (en) * | 2019-08-13 | 2019-12-03 | 四川科达乐气象科技有限公司 | Disaster-ridden kind of monitoring and warning and emergency commading system |
CN111222426A (en) * | 2019-12-27 | 2020-06-02 | 宁波国际投资咨询有限公司 | Dangerous chemical safe transportation monitoring method, storage medium and control terminal |
CN111109896A (en) * | 2020-01-16 | 2020-05-08 | 上海西斯贝尔工业科技有限公司 | Intelligent dangerous chemical storage system |
CN113763676A (en) * | 2020-06-05 | 2021-12-07 | 中国环境科学研究院 | Intelligent dangerous chemical online monitoring and early warning system based on Internet of things technology |
CN111744129A (en) * | 2020-06-09 | 2020-10-09 | 浙江新高包装有限公司 | Hazardous chemical warehouse capable of automatically repairing |
CN111882010A (en) * | 2020-07-21 | 2020-11-03 | 杭州电子科技大学 | Dangerous chemical cabinet management system |
CN111854844A (en) * | 2020-07-31 | 2020-10-30 | 上海应用技术大学 | Regional hazardous chemicals safety monitoring system |
CN212749901U (en) * | 2020-09-17 | 2021-03-19 | 深圳安志生态环境有限公司 | Dangerous waste storage management system |
CN214051112U (en) * | 2020-11-04 | 2021-08-27 | 郭晓东 | Dangerous chemical storage safety management device |
CN114582098A (en) * | 2021-12-15 | 2022-06-03 | 浙江九龙物联科技有限公司 | Kitchen safety coefficient that gas company linked and reported to police |
Also Published As
Publication number | Publication date |
---|---|
CN115439998A (en) | 2022-12-06 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN116246407B (en) | An artificial intelligence-based early warning and supervision system for agricultural and forestry regional fires | |
CN115439998B (en) | Cloud number linkage monitoring and grading alarm system for dangerous chemical warehouse | |
CN112905666A (en) | Emergency prediction management system based on abnormal data analysis in public safety field | |
CN104574557B (en) | Alarm-based site polling method, alarm-based site polling manipulation device and alarm-based site polling system | |
CN102393706A (en) | Remote fire-fighting supervisory safety assessment system based on internet of things (IOT) and control method thereof | |
CN103310579B (en) | Electric power fire composite detecting device based on ZigBee radio communication | |
CN101251942A (en) | Method and device for intelligent detection, early warning and forecasting of fire in underground space | |
CN113763667B (en) | A device and method for fire early warning and status monitoring based on 5G edge computing | |
CN104850047A (en) | Safety monitoring system for electric power equipment | |
CN112150335A (en) | Intelligent fire-fighting data visual monitoring system and monitoring method thereof | |
CN116966468A (en) | Intelligent fire-fighting equipment supervision system | |
CN115190191B (en) | Power grid industrial control system and control method based on protocol analysis | |
CN107065980A (en) | Power distribution room on-line monitoring and accident pre-alarming system based on HT iBS Virtual Intelligent buses | |
CN116951328B (en) | Intelligent drainage pipeline operation monitoring system based on big data | |
CN113869712A (en) | Intelligent system for large-scale industrial gas production | |
CN104865918A (en) | GIS-based power monitoring system | |
CN115984067A (en) | Fire monitoring and early warning system for key region of urban underground space | |
CN115115117A (en) | Intelligent processing and analyzing system based on block chain | |
CN214409636U (en) | Control device of electronic equipment | |
CN204972764U (en) | Fire extinguishing system | |
CN118491019B (en) | Charging station fire extinguishing system and optimization method | |
CN211885100U (en) | Fire-fighting monitoring system | |
CN220526434U (en) | Gas leakage alarm based on internet of things | |
CN112652138B (en) | Large Transformer Fire Alarm Early Warning Method Based on Identical Comparison | |
CN118280090B (en) | Fire emergency monitoring alarm management system and method based on artificial intelligence |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |