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CN102313793A - Monitoring system of multi-component gas pollutants in air of chemical industrial park - Google Patents

Monitoring system of multi-component gas pollutants in air of chemical industrial park
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CN102313793A
CN102313793ACN201110263041ACN201110263041ACN102313793ACN 102313793 ACN102313793 ACN 102313793ACN 201110263041 ACN201110263041 ACN 201110263041ACN 201110263041 ACN201110263041 ACN 201110263041ACN 102313793 ACN102313793 ACN 102313793A
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air
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pollutant
industrial park
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CN102313793B (en
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韩璐
宋永会
俞博凡
袁鹏
彭剑峰
许伟宁
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Chinese Research Academy of Environmental Sciences
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Abstract

Translated fromChinese

本发明公开了一种化工园区空气中多组分气体污染物监控系统,包括:PID传感器、电化学传感器、催化燃烧传感器、地理信息确定装置、信号转换装置、存储器、控制器、声光报警装置。其中,PID传感器、电化学传感器、催化燃烧传感器共同构成了监控系统前端污染物采集与检测部分,用于污染物种类确定与各参数耦合分析。PID传感器包括气体采集装置,过滤装置,光离子化传感器检测装置;电化学传感器包括气体采集装置,除尘装置,电化学传感器检测仪;催化燃烧传感器包括气体采集装置,催化燃烧传感器检测仪,超量程、反极性保护装置。本发明还包括控制装置,用于对检测结果进行统计和分析;声光报警装置,用于对污染物气体浓度超标进行报警。The invention discloses a monitoring system for multi-component gas pollutants in the air of a chemical industry park, comprising: a PID sensor, an electrochemical sensor, a catalytic combustion sensor, a geographical information determination device, a signal conversion device, a memory, a controller, and an acousto-optic alarm device . Among them, the PID sensor, electrochemical sensor, and catalytic combustion sensor together constitute the front-end pollutant collection and detection part of the monitoring system, which is used for the determination of pollutant types and the coupling analysis of various parameters. PID sensor includes gas collection device, filter device, photoionization sensor detection device; electrochemical sensor includes gas collection device, dust removal device, electrochemical sensor detector; catalytic combustion sensor includes gas collection device, catalytic combustion sensor detector, over-range , Reverse polarity protection device. The invention also includes a control device used for statistics and analysis of the detection results; an audible and visual alarm device used for alarming the pollutant gas concentration exceeding the standard.

Description

Translated fromChinese
一种化工园区空气中多组分气体污染物的监控系统A monitoring system for multi-component gas pollutants in the air of a chemical industrial park

技术领域technical field

本发明涉及一种监控系统,尤其涉及一种化工园区空气中多组分气体污染物的监控系统。The invention relates to a monitoring system, in particular to a monitoring system for multi-component gas pollutants in the air of a chemical industrial park.

背景技术Background technique

近年来我国重大环境污染事件频繁发生,对生态环境、人民健康及社会安全产生严重影响。从我国当前重大环境污染事件发生的实际状况出发,结合国际环境科学技术发展前沿,研究开发适合我国国情的重大环境污染事件监控技术系统,是提升我国环境保护技术水平,推进环境友好型社会发展的迫切要求。In recent years, major environmental pollution incidents have occurred frequently in my country, which have seriously affected the ecological environment, people's health and social security. Starting from the actual situation of major environmental pollution incidents in my country, combined with the frontiers of international environmental science and technology development, research and development of a major environmental pollution incident monitoring technology system suitable for my country's national conditions is to improve the level of environmental protection technology in my country and promote the development of an environmentally friendly society. Urgent request.

其中,“风险源监控”主要针对历次重大环境污染事件中的典型污染物,选择满足监控指标的在线监测设备,集成在线监测、数据处理与传输技术,构建重点风险源动态监控平台,开展不同规模的监测监控示范。Among them, "risk source monitoring" mainly focuses on typical pollutants in previous major environmental pollution incidents, selects online monitoring equipment that meets the monitoring indicators, integrates online monitoring, data processing and transmission technologies, and builds a dynamic monitoring platform for key risk sources. Demonstration of monitoring and monitoring.

随着人类生产和使用化学品的种类、数量不断增加,大量有机污染物、有毒有害污染物进入环境,容易引发环境污染事故,其潜在的健康和生态风险已经成为人们关注的焦点。挥发性有机物(volatile organic compounds,VOCs)被世界卫生组织定义为沸点在50~260℃、室温下饱和蒸气压>133.322Pa的易挥发性化合物。其主要成分为脂肪烃、芳香烃、卤代烃、氧烃、氮烃、硫烃和一些醛、酮、醚、酯类化合物,部分已被列为致癌物(如苯和氯乙烯)。As the types and quantities of chemicals produced and used by humans continue to increase, a large number of organic pollutants and toxic and harmful pollutants enter the environment, which may easily cause environmental pollution accidents, and their potential health and ecological risks have become the focus of attention. Volatile organic compounds (volatile organic compounds, VOCs) are defined by the World Health Organization as volatile compounds with a boiling point of 50-260°C and a saturated vapor pressure of >133.322Pa at room temperature. Its main components are aliphatic hydrocarbons, aromatic hydrocarbons, halogenated hydrocarbons, oxygen hydrocarbons, nitrogen hydrocarbons, sulfur hydrocarbons, and some aldehydes, ketones, ethers, and esters, some of which have been listed as carcinogens (such as benzene and vinyl chloride).

一氧化碳、硫化氢、氨气、氯气等有毒气体,甲烷、氯甲烷、丁烷、氢气等可燃气体广泛应用于石油、化工、冶金、电力等行业。VOCs是石油、化工、制药、印刷、建材、喷涂等企业经常使用和排放的物质。特别要强调的是,许多VOCs有易燃易爆特性,这些爆炸品、泄露品进入环境,将对环境造成很大的污染,对人类生命财产造成重大损失。相关企业在这些物质的储存、生产和运输环节若存在安全管理隐患,极易酿成重大环境污染事故。如世界有名的环境污染事件马斯河谷事件,马斯河谷工业区炼焦、炼钢、电力、玻璃、炼锌、硫酸、化肥等工厂排放的大量烟雾弥漫在河谷上空无法扩散,有害气体积存量接近危害健康的极限。一个星期内就有60多人死亡,是同期正常死亡人数的十多倍。印度博帕尔毒气泄漏事件,该厂的一个储料罐进水,罐中的化学原料发生剧烈的化学反应,储料罐爆炸,41吨异氰酸甲酯泄漏到居民区,酿成迄今世界最大的化学污染事件。Carbon monoxide, hydrogen sulfide, ammonia, chlorine and other toxic gases, methane, methyl chloride, butane, hydrogen and other combustible gases are widely used in petroleum, chemical, metallurgy, electric power and other industries. VOCs are substances frequently used and emitted by enterprises such as petroleum, chemical, pharmaceutical, printing, building materials, and spraying. In particular, it should be emphasized that many VOCs are flammable and explosive. These explosives and leaks will cause great pollution to the environment and cause great losses to human life and property when they enter the environment. If relevant enterprises have hidden dangers in safety management in the storage, production and transportation of these substances, it is very easy to cause major environmental pollution accidents. For example, the Maas Valley incident, a world-famous environmental pollution incident, a large amount of smoke emitted by factories such as coking, steelmaking, electricity, glass, zinc smelting, sulfuric acid, and chemical fertilizers in the Maas Valley Industrial Zone filled the valley and could not be diffused, and the volume of harmful gas was close to Health hazard limit. More than 60 people died within a week, more than ten times the normal death toll during the same period. In the Bhopal poisonous gas leakage incident in India, water entered a storage tank of the plant, and the chemical raw materials in the tank had a violent chemical reaction. The storage tank exploded, and 41 tons of methyl isocyanate leaked into residential areas, causing the world Largest chemical pollution incident.

发明内容Contents of the invention

针对上述情况,本发明设计开发了一种化工园区空气中多组分气体污染物的监控系统,以及时发现工业园区空气中气体污染物的变化趋势,实现化学工业园区空气中气体污染物监测数据的实时采集、传输、存储功能,实现环境污染的预警与监管。In view of the above situation, the present invention designs and develops a monitoring system for multi-component gas pollutants in the air of chemical industrial parks, so as to timely discover the changing trend of gas pollutants in the air of industrial parks and realize the monitoring data of gas pollutants in the air of chemical industrial parks. Real-time collection, transmission, and storage functions to realize early warning and supervision of environmental pollution.

为此,本发明公开了一种化工园区空气中多组分气体污染物的监控系统,包括:PID传感器的气体采集装置,其与所述工业园区大气连接,用于间歇性地从大气中采集气体;过滤装置,与所述PID传感器气体采集装置连接,用于过滤气体样品中的水分;光离子化传感器检测装置,其与所述过滤装置连接,用于接收过滤后的挥发性有机污染物,并对过滤后的后的挥发性有机污染物气体进行定量检测;电化学传感器的括泵吸式气体采集装置,内置强力吸气泵,用于将空气中的气体吸入气体采集装置;除尘装置,与所述电化学传感器的气体采集装置连接,用于过滤去除空气中的灰尘;电化学传感器检测仪,与所述除尘装置连接,用于接收除尘处理后的有毒气体,并对除尘后的有毒气体进行定量检测;催化燃烧传感器的气体采集装置,泵吸式气体采集方式,用于将空气中的气体送入采集装置;催化燃烧传感器检测仪,与所述催化燃烧传感器的气体采集装置连接,用于定量检测可燃性气体;超量程保护、反极性保护装置,与所述催化燃烧传感器检测仪连接,用于监测气体污染物浓度超出量程、外加电源电压与设定电压不匹配时保护仪器的装置;PID传感器、电化学传感器、催化燃烧传感器共同构成了多组分气体污染物的监控系统的前端污染物采集检测部分,用于监控系统的污染物种类确定与各参数耦合分析;地理信息确定装置,其与所述各气体采集装置相连,用于测定所述气体采集装置在进行气体采集操作时,所处的地理位置信息;信号转换装置,用于对检测结果进行信号转换和无线方式数据传输;存储器,其与信号转换装置连接,用于存储有各组分气体污染物的安全数值范围,以及存储有各监控点位采集到的工业园区空气中的气体污染物的检测历史数据;控制器,其与所述气体采集装置、存储器连接,用于设定气体采集装置的采集频率,以及用于将传感器检测仪检测的污染物气体的数据与存储器中的安全数值范围进行比较,并且根据比较结果,调整气体采集装置在不同地理位置的采集频率;报警装置,其与所述控制器连接,用于显示和记录每台检测仪的检测数据和触发报警的状况,当监测到的气体污染物浓度超过了设定的环境阈值,报警装置就会发出光信号和鸣响声进行报警。To this end, the present invention discloses a monitoring system for multi-component gas pollutants in the air of a chemical industry park, including: a gas collection device of a PID sensor, which is connected to the atmosphere of the industrial park for intermittently collecting Gas; filter device, connected with the PID sensor gas collection device, for filtering the moisture in the gas sample; photoionization sensor detection device, connected with the filter device, for receiving filtered volatile organic pollutants , and quantitatively detect the filtered volatile organic pollutant gas; the electrochemical sensor includes a pump-suction gas collection device with a built-in powerful suction pump for sucking the gas in the air into the gas collection device; dust removal device , connected with the gas collection device of the electrochemical sensor, used to filter and remove the dust in the air; the electrochemical sensor detector, connected with the dust removal device, used to receive the toxic gas after the dust removal treatment, and detect the dust after the dust removal Toxic gas is quantitatively detected; the gas collection device of the catalytic combustion sensor is a pump-suction gas collection method, which is used to send the gas in the air into the collection device; the catalytic combustion sensor detector is connected to the gas collection device of the catalytic combustion sensor , for quantitative detection of flammable gases; over-range protection, reverse polarity protection device, connected with the catalytic combustion sensor detector, used to monitor the concentration of gas pollutants beyond the range, when the external power supply voltage and the set voltage do not match the protection The device of the instrument; PID sensor, electrochemical sensor, and catalytic combustion sensor together constitute the front-end pollutant collection and detection part of the multi-component gas pollutant monitoring system, which is used for the determination of pollutant types and the coupling analysis of various parameters in the monitoring system; An information determination device, which is connected to each of the gas collection devices, and is used to determine the geographic location information of the gas collection device when performing a gas collection operation; mode data transmission; the memory, which is connected with the signal conversion device, is used to store the safe value range of each component gas pollutant, and store the detection history data of the gas pollutants in the air of the industrial park collected by each monitoring point a controller, which is connected to the gas collection device and the memory, is used to set the collection frequency of the gas collection device, and is used to compare the data of the pollutant gas detected by the sensor detector with the safe numerical range in the memory, And according to the comparison result, adjust the collection frequency of the gas collection device in different geographical locations; the alarm device, which is connected with the controller, is used to display and record the detection data of each detector and the status of triggering the alarm, when the detected When the concentration of gas pollutants exceeds the set environmental threshold, the alarm device will send out a light signal and sound to alarm.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,还包括:风险地图绘制模块,其与所述存储器、以及与所述控制器连接,用于根据所述存储器中存储的各监控点位地理位置采集到的园区空气中的气体污染物的检测历史数据,在控制器的控制下,绘制园区各监控点位空气中气体污染物的检测结果风险地图。Preferably, the monitoring system for multi-component gaseous pollutants in the air of an industrial park further includes: a risk map drawing module connected to the memory and the controller for The detection history data of gaseous pollutants in the air of the park collected by the geographic location of each monitoring point stored in the park, under the control of the controller, draws the risk map of the detection results of gaseous pollutants in the air of each monitoring point in the park.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,还包括:趋势分析模块,其与所述风险地图绘制模块相连,根据定性或定量采集的监测数据等信息,进行污染趋势动态分析,并在GIS地图中形成动态推演扩散模型,预测污染扩散状况。同时,系统可通过现场及时传回的各种气体污染物监测数据、气象资料、危险源数量,进行动态校正,为决策提供辅助参考。Preferably, in the monitoring system of multi-component gas pollutants in the air of the industrial park, it also includes: a trend analysis module, which is connected to the risk map drawing module, and according to information such as qualitative or quantitative monitoring data collected, Carry out dynamic analysis of pollution trends, and form a dynamic derivation and diffusion model in the GIS map to predict the status of pollution diffusion. At the same time, the system can perform dynamic corrections through the monitoring data of various gas pollutants, meteorological data, and the number of hazards sent back in time from the site to provide auxiliary reference for decision-making.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,还包括:报告生成模块,其与所述趋势分析模块相连,用于将传感器类型、监控点位信息、采集的气体污染物浓度信息,历史数据、实时数据、报警的安全阈值、污染物浓度超标级别等关键信息生成报告,供管理者参考。Preferably, in the monitoring system of multi-component gas pollutants in the air of the industrial park, it also includes: a report generation module, which is connected with the trend analysis module, and is used for sensor type, monitoring point information, collection The gas pollutant concentration information, historical data, real-time data, alarm safety threshold, pollutant concentration exceeding level and other key information generate reports for the reference of managers.

优选的是,传递模块,其与所述报告生成模块相连,用于将生成的报告传递給监控中心。Preferably, the delivery module is connected to the report generation module and used to deliver the generated report to the monitoring center.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,所述关键信息为关键词。Preferably, in the monitoring system for multi-component gas pollutants in the air of industrial parks, the key information is keywords.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,所述关键信息为所述报告生成的过程中,根据设定的规则所标记的特殊符号。Preferably, in the monitoring system for multi-component gas pollutants in the air of industrial parks, the key information is a special symbol marked according to the set rules during the report generation process.

优选的是,所述特殊符号为根据不同规则采用的传感器检测仪对应的图标。Preferably, the special symbols are icons corresponding to sensor detectors adopted according to different rules.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,所述设定的规则为根据不同地理位置的不同状态的空气选用不同类的传感器检测仪。Preferably, in the monitoring system for multi-component gas pollutants in the air of industrial parks, the set rule is to select different types of sensor detectors according to different states of air in different geographical locations.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,所述不同状态的空气包括化学工业园区空气和化工园区周边缓冲区域的空气。Preferably, in the monitoring system for multi-component gas pollutants in the air of an industrial park, the air in different states includes the air in the chemical industrial park and the air in the buffer area around the chemical industrial park.

优选的是,所述的工业园区空气中多组分气体污染物的监控系统中,所述传递模块为无线信号传递装置。Preferably, in the monitoring system for multi-component gaseous pollutants in the air of industrial parks, the transmission module is a wireless signal transmission device.

具体实施方式Detailed ways

下面对本发明做进一步的详细说明,以令本领域技术人员参照说明书文字能够据以实施。The present invention will be described in further detail below, so that those skilled in the art can implement it with reference to the description.

本发明提供一种化工园区空气中多组分气体污染物的监控系统,包括:PID传感器的气体采集装置,其与所述工业园区大气连接,用于间歇性地从大气中采集气体;过滤装置,与所述PID传感器气体采集装置连接,用于过滤气体样品中的水分;光离子化传感器检测装置,其与所述过滤装置连接,用于接收过滤后的挥发性有机污染物,并对过滤后的后的挥发性有机污染物气体进行定量检测;电化学传感器的括泵吸式气体采集装置,内置强力吸气泵,用于将空气中的气体吸入气体采集装置;除尘装置,与所述电化学传感器的气体采集装置连接,用于过滤去除空气中的灰尘;电化学传感器检测仪,与所述除尘装置连接,用于接收除尘处理后的有毒气体,并对除尘后的有毒气体进行定量检测;催化燃烧传感器的气体采集装置,泵吸式气体采集方式,用于将空气中的气体送入采集装置;催化燃烧传感器检测仪,与所述催化燃烧传感器的气体采集装置连接,用于定量检测可燃性气体;超量程保护、反极性保护装置,与所述催化燃烧传感器检测仪连接,用于监测气体污染物浓度超出量程、外加电源电压与设定电压不匹配时保护仪器的装置;PID传感器、电化学传感器、催化燃烧传感器共同构成了多组分气体污染物监控系统的前端污染物采集检测部分,用于监控系统的污染物种类确定与各参数耦合分析。地理信息确定装置,其与所述气体采集装置相连,用于测定所述气体采集装置在进行气体采集操作时,所处的地理位置信息。The invention provides a monitoring system for multi-component gas pollutants in the air of a chemical industry park, comprising: a gas collection device of a PID sensor connected to the atmosphere of the industrial park for intermittently collecting gas from the atmosphere; a filter device , connected with the PID sensor gas collection device, used to filter the moisture in the gas sample; photoionization sensor detection device, connected with the filter device, used to receive the filtered volatile organic pollutants, and filter The final volatile organic pollutant gas is quantitatively detected; the electrochemical sensor includes a pump-suction gas collection device with a built-in powerful suction pump for sucking the gas in the air into the gas collection device; the dust removal device is compatible with the described The gas collection device of the electrochemical sensor is connected to filter and remove dust in the air; the electrochemical sensor detector is connected to the dust removal device to receive the toxic gas after dust removal and quantify the toxic gas after dust removal Detection; the gas collection device of the catalytic combustion sensor, the pump suction gas collection method, used to send the gas in the air into the collection device; the catalytic combustion sensor detector, connected with the gas collection device of the catalytic combustion sensor, for quantitative Detect combustible gas; over-range protection, reverse polarity protection device, connected with the catalytic combustion sensor detector, used to monitor the device for protecting the instrument when the concentration of gas pollutants exceeds the range, and the external power supply voltage does not match the set voltage; PID sensors, electrochemical sensors, and catalytic combustion sensors together constitute the front-end pollutant collection and detection part of the multi-component gas pollutant monitoring system, which is used for the determination of pollutant types and the coupling analysis of various parameters in the monitoring system. The geographical information determination device is connected with the gas collection device and is used to determine the geographic location information of the gas collection device when the gas collection operation is performed.

上述内容是对气体的采集和对化工园区气体污染物的测量。将气体的采集与地理信息确定结合在一起,有利于实现采集结果和检测结果的自动分析。而且通过地理信息与气体在该地理位置的实际状况的预先调查数据,在确定了所取气体的地理信息的情况下,就可以确定此处空气的状态,例如,此处的空气为高风险区的空气,例如工业园区内化工企业周边的空气,还是缓冲区域的空气,例如化工园区周围的空气;那么根据不同的种类的空气,会有不同的污染物标准参数范围,会有不同的对应检测仪器。The above content is the collection of gas and the measurement of gas pollutants in the chemical industry park. The combination of gas collection and geographic information determination is conducive to the automatic analysis of collection results and detection results. And through the pre-investigation data of geographical information and the actual situation of the gas in the geographical location, after determining the geographical information of the gas taken, the state of the air here can be determined, for example, the air here is a high-risk area For example, the air around the chemical enterprises in the industrial park, or the air in the buffer area, such as the air around the chemical park; then according to different types of air, there will be different pollutant standard parameter ranges, and there will be different corresponding detections instrument.

信号转换装置,用于对检测结果进行信号转换和无线方式数据传输;存储器,其与信号转换装置连接,用于存储有各组分气体污染物的安全数值范围,以及存储有各监控点位采集到的工业园区空气中的气体污染物的检测历史数据;控制器,其与所述气体采集装置、存储器连接,用于设定气体采集装置的采集频率,以及用于将传感器检测仪检测的污染物气体的数据与存储器中的安全数值范围进行比较,并且根据比较结果,调整气体采集装置在不同地理位置的采集频率;风险地图绘制模块,其与所述存储器、以及与所述控制器连接,用于根据所述存储器中存储的各监控点位地理位置采集到的园区空气中的气体污染物的检测历史数据,在控制器的控制下,绘制园区各监控点位空气中气体污染物的检测结果风险地图;趋势分析模块,其与所述风险地图绘制模块相连,根据定性或定量采集的监测数据等信息,进行污染趋势动态分析,并在GIS地图中形成动态推演扩散模型,预测污染扩散状况。同时,系统可通过现场及时传回的各种气体污染物监测数据、气象资料、危险源数量,进行动态校正,为决策提供辅助参考。The signal conversion device is used for signal conversion and wireless data transmission of the detection results; the memory, which is connected with the signal conversion device, is used to store the safe value range of each component gas pollutant, and to store the data collected by each monitoring point. The detected historical data of the gas pollutants in the air of the industrial park; the controller, which is connected with the gas collection device and the memory, is used to set the collection frequency of the gas collection device, and is used to detect the pollution detected by the sensor detector Compare the data of the object gas with the safe numerical range in the memory, and adjust the collection frequency of the gas collection device in different geographical locations according to the comparison result; the risk map drawing module is connected with the memory and the controller, It is used to draw the detection history data of gaseous pollutants in the air of the park collected by the geographic location of each monitoring point stored in the memory, under the control of the controller, to draw the detection of the gaseous pollutants in the air of each monitoring point in the park Result risk map; trend analysis module, which is connected to the risk map drawing module, performs dynamic analysis of pollution trends according to information such as qualitative or quantitative monitoring data, and forms a dynamic derivation diffusion model in the GIS map to predict pollution diffusion status . At the same time, the system can perform dynamic corrections through the monitoring data of various gas pollutants, meteorological data, and the number of hazards sent back in time from the site to provide auxiliary reference for decision-making.

上述内容是对污染物检测和预警控制过程进行的说明。信号转换装置能同时转换多台传感器的标准模拟输出信号,通过数字输入输出端口对传感器进行控制和管理,在数据采集现场实现数据采集、处理和报告显示及打印,也可以通过电话线、GSM无线通信网或局域网等多种通讯方式与监控可视化平台连接。控制器根据污染物的检测数据调整不同位置的气体采集装置的采集频率,对于检测数据邻近高危值的,提高采集频率,对于检测数据远离高危值的,降低采集频率。对污染物的定性检测主要是指检测污染物的危害程度,而定量检测主要是指检测污染物的含量。风险地图绘制模块、趋势分析模块可以通过考虑污染物爆炸的高斯烟团扩散模型,来分析污染物的变化趋势,这种变化趋势不仅仅是某个地理位置单独的纵向历史检测数据变化趋势,还包括各个地理位置之间横向变化趋势,例如,对于整个园区不同地理位置的检测数据的比较,根据数据的变化,分析出污染源的可能位置,以及可能的发展趋势。The above content is an explanation of the process of pollutant detection and early warning control. The signal conversion device can convert the standard analog output signals of multiple sensors at the same time, control and manage the sensors through the digital input and output ports, and realize data collection, processing, report display and printing at the data collection site, or through telephone lines, GSM wireless Various communication methods such as communication network or local area network are connected with the monitoring and visualization platform. The controller adjusts the collection frequency of the gas collection devices at different locations according to the detection data of pollutants, increases the collection frequency for detection data close to high-risk values, and reduces the collection frequency for detection data far away from high-risk values. The qualitative detection of pollutants mainly refers to the detection of the harmfulness of pollutants, while the quantitative detection mainly refers to the detection of the content of pollutants. The risk map drawing module and the trend analysis module can analyze the change trend of pollutants by considering the Gaussian puff diffusion model of pollutant explosion. Including the horizontal change trend among various geographical locations, for example, comparing the detection data of different geographical locations in the entire park, and analyzing the possible locations of pollution sources and possible development trends according to the changes in the data.

所述的工业园区空气中多组分气体污染物的监控系统中,还包括:报告生成模块,用于将传感器类型、监控点位信息、采集的气体污染物浓度信息,历史数据、实时数据、报警的安全阈值、污染物浓度超标级别等关键信息生成报告。In the monitoring system of multi-component gas pollutants in the air of the industrial park, it also includes: a report generation module, which is used to combine the sensor type, monitoring point information, collected gas pollutant concentration information, historical data, real-time data, Generate reports for key information such as the safety threshold of the alarm and the level of pollutant concentration exceeding the standard.

所述的工业园区空气中多组分气体污染物的监控系统中,还包括:传递模块,其与所述报告生成模块相连,用于将生成的报告传递給监控中心。The monitoring system for multi-component gaseous pollutants in the air of an industrial park further includes: a delivery module connected to the report generation module and used to deliver the generated report to the monitoring center.

所述的工业园区空气中多组分气体污染物的监控系统中,所述报告生成过程中的关键信息为关键词。例如,一些有区分意义的关键词,能够对应到不同的检测仪器。所述关键信息为所述报告生成的过程中,根据设定的规则所标记的特殊符号。而所述的规则为根据不同地理位置的不同状态的空气选用不同类的传感器检测仪。所述不同状态的空气包括化学工业园区空气和化工园区周边缓冲区域的空气。In the monitoring system for multi-component gas pollutants in the air of an industrial park, the key information in the report generation process is a keyword. For example, some distinguishing keywords can correspond to different testing instruments. The key information is a special symbol marked according to a set rule during the report generation process. And described rule is to select different types of sensor detectors for use according to the air of different states in different geographical locations. The air in different states includes the air in the chemical industrial park and the air in the buffer area around the chemical industrial park.

所述传递模块为无线信号传递装置,每个传感器检测仪采集到的信号通过GPRS网络传输到可视化控制平台,在控制平台对气体污染物进行实时监控。所述报警装置为声光报警装置,报警装置,其与所述控制器连接,用于显示和记录每台检测仪的检测数据和触发报警的状况,以对空气中气体污染物浓度超标进行报警,当监控数值因污染事件而超出报警阈值/动态阈值时发出数据超标报警,其中超标报警采用声、光两种提示方式,报警级别对应于特征污染物危害级别。The transmission module is a wireless signal transmission device, and the signal collected by each sensor detector is transmitted to the visual control platform through the GPRS network, and the gas pollutants are monitored in real time on the control platform. The alarm device is an acousto-optic alarm device, an alarm device, which is connected with the controller, and is used to display and record the detection data of each detector and the status of triggering the alarm, so as to give an alarm to the excessive concentration of gas pollutants in the air , when the monitoring value exceeds the alarm threshold/dynamic threshold due to a pollution event, a data over-standard alarm is issued. The over-standard alarm uses sound and light prompts, and the alarm level corresponds to the hazard level of the characteristic pollutants.

尽管本发明的实施方案已公开如上,但其并不仅仅限于说明书和实施方式中所列运用,它完全可以被适用于各种适合本发明的领域,对于熟悉本领域的人员而言,可容易地实现另外的修改,因此在不背离权利要求及等同范围所限定的一般概念下,本发明并不限于特定的细节和这里示出与描述的图例。Although the embodiment of the present invention has been disclosed as above, it is not limited to the use listed in the specification and implementation, it can be applied to various fields suitable for the present invention, and it can be easily understood by those skilled in the art Therefore, the invention is not limited to the specific details and examples shown and described herein without departing from the general concept defined by the claims and their equivalents.

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Cited By (33)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN103149335A (en)*2013-01-252013-06-12中国环境科学研究院Aquatic volatile organic contaminant sample pretreatment (VOC) system
CN103793591A (en)*2013-01-272014-05-14辽宁工程技术大学Meshing-based poison gas diffusion simulating method
CN103984310A (en)*2014-05-122014-08-13华迪计算机集团有限公司Chemical industry park environment pollution detection method and device based on multi-source remote sensing data
CN104049006A (en)*2013-03-122014-09-17罗伯特·博世有限公司Functional element for arrangement in front of an active measuring region of a sensor element
CN104090071A (en)*2014-06-202014-10-08广西小草信息产业有限责任公司Air quality monitoring system and method
CN104599446A (en)*2015-01-292015-05-06北京华清能源科技有限公司Dangerous gas intelligent monitoring and emergency early warning system
CN104849330A (en)*2015-05-122015-08-19东华大学Wearable apnea prewarning system
CN104950084A (en)*2015-07-012015-09-30北京奇虎科技有限公司Method and device for air data prewarning
CN106383205A (en)*2016-10-132017-02-08北京伟瑞迪科技有限公司VOCs (Volatile Organic Compounds) region on-line monitoring and early warning system
CN106441449A (en)*2016-11-172017-02-22江苏智石科技有限公司Method for controlling industrial environment air pollution monitoring system
CN106441450A (en)*2016-11-172017-02-22江苏智石科技有限公司Monitoring system for air pollution of industrial environment
CN106483060A (en)*2016-09-222017-03-08国网山东省电力公司电力科学研究院A kind of dynamic atmospheric corrosion area map data processing method, apparatus and system
CN106526075A (en)*2016-10-102017-03-22中国神华能源股份有限公司Flue gas monitoring method and apparatus
CN103914622B (en)*2014-04-042017-07-07清华大学A kind of chemical leakage fast prediction alarm emergency response decision-making method
CN106935019A (en)*2017-04-202017-07-07张红新A kind of danger signal gathers identifying system
CN107085071A (en)*2017-03-232017-08-22重庆蓝岸通讯技术有限公司Environmental monitoring air all-in-one
CN107179371A (en)*2017-08-012017-09-19苏州市光生环境科技有限公司A kind of VOC on-line checkings instrument instrumentation control system
CN107218966A (en)*2016-03-212017-09-29深圳市兴源智能仪表股份有限公司Water supply network data intelligence acquisition method
CN107228920A (en)*2017-05-262017-10-03成都润泰茂成科技有限公司A kind of air-quality monitoring system for being capable of detecting when pollution type
CN107271613A (en)*2017-07-312017-10-20合肥桥旭科技有限公司A kind of chemical plant environment pollution detection cleaning system
CN107438766A (en)*2014-12-292017-12-05霍尼韦尔国际公司 Image Based Surveillance System
CN108716967A (en)*2018-06-262018-10-30山东睿益环境技术有限公司A kind of leakage accident source tracing method
CN108762164A (en)*2018-06-262018-11-06山东睿益环境技术有限公司A kind of industrial park management method and its application
CN108896713A (en)*2018-06-262018-11-27珠海市万顺睿通科技有限公司For the method for governing pollution and governing system in gaseous contamination source
CN109002380A (en)*2018-06-262018-12-14山东睿益环境技术有限公司A kind of Historical Monitoring data readback method and its application
CN110531030A (en)*2019-08-162019-12-03北京慧辰资道资讯股份有限公司A kind of method and device based on the analysis of Internet of Things big data atmosphere pollution
CN110658306A (en)*2019-09-242020-01-07北京承天示优科技有限公司Gas detection system
CN112229952A (en)*2020-09-302021-01-15重庆科技学院 A method for detecting toxic and harmful gases in chemical industry parks
CN112437876A (en)*2017-07-292021-03-02山东诺方电子科技有限公司Method and system for improving objectivity of atmospheric pollutant monitoring data
CN112524733A (en)*2020-12-072021-03-19南京千里行测控技术有限公司Intelligent detection air purifier and air purification system thereof
CN113514533A (en)*2020-04-102021-10-19中国石油化工股份有限公司Volatile dangerous chemical leakage detector
CN115208054A (en)*2022-06-062022-10-18汇网电气有限公司Intelligent management system for dry-type transformer
CN116795008A (en)*2023-06-192023-09-22深圳市骏业建筑科技有限公司Photovoltaic module cleaning control method, system, equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
JPH01269017A (en)*1988-04-211989-10-26Furukawa Electric Co Ltd:TheMethod for inspecting product
US5206818A (en)*1991-09-191993-04-27International Business Machines CorporationFugitive emissions monitoring system including integrated fugitive emissions analyzer and source identifier
US5832411A (en)*1997-02-061998-11-03Raytheon CompanyAutomated network of sensor units for real-time monitoring of compounds in a fluid over a distributed area

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
JPH01269017A (en)*1988-04-211989-10-26Furukawa Electric Co Ltd:TheMethod for inspecting product
US5206818A (en)*1991-09-191993-04-27International Business Machines CorporationFugitive emissions monitoring system including integrated fugitive emissions analyzer and source identifier
US5832411A (en)*1997-02-061998-11-03Raytheon CompanyAutomated network of sensor units for real-time monitoring of compounds in a fluid over a distributed area

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
NEKTARIOS CHRYSOULAKIS等: "Detecting and monitoring plumes caused by major industrial accidents with JPLUME, a new software tool for low-resolution image analysis", 《ENVIRONMENTAL MODELLING & SOFTWARE》, vol. 20, 27 July 2005 (2005-07-27), pages 1486 - 1494*
温丽丽等: "《重大环境污染事件风险源监控技术规范》总体设计", 《环境科学研究》, vol. 24, no. 3, 31 March 2011 (2011-03-31), pages 347 - 353*

Cited By (40)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN103149335B (en)*2013-01-252015-07-08中国环境科学研究院Aquatic volatile organic contaminant sample pretreatment (VOC) system
CN103149335A (en)*2013-01-252013-06-12中国环境科学研究院Aquatic volatile organic contaminant sample pretreatment (VOC) system
CN103793591A (en)*2013-01-272014-05-14辽宁工程技术大学Meshing-based poison gas diffusion simulating method
CN103793591B (en)*2013-01-272017-02-08辽宁工程技术大学Meshing-based poison gas diffusion simulating method
CN104049006A (en)*2013-03-122014-09-17罗伯特·博世有限公司Functional element for arrangement in front of an active measuring region of a sensor element
CN103914622B (en)*2014-04-042017-07-07清华大学A kind of chemical leakage fast prediction alarm emergency response decision-making method
CN103984310A (en)*2014-05-122014-08-13华迪计算机集团有限公司Chemical industry park environment pollution detection method and device based on multi-source remote sensing data
CN104090071A (en)*2014-06-202014-10-08广西小草信息产业有限责任公司Air quality monitoring system and method
CN107438766A (en)*2014-12-292017-12-05霍尼韦尔国际公司 Image Based Surveillance System
CN107438766B (en)*2014-12-292020-06-30霍尼韦尔国际公司Image-based monitoring system
CN104599446A (en)*2015-01-292015-05-06北京华清能源科技有限公司Dangerous gas intelligent monitoring and emergency early warning system
CN104849330A (en)*2015-05-122015-08-19东华大学Wearable apnea prewarning system
CN104950084A (en)*2015-07-012015-09-30北京奇虎科技有限公司Method and device for air data prewarning
CN107218966A (en)*2016-03-212017-09-29深圳市兴源智能仪表股份有限公司Water supply network data intelligence acquisition method
CN106483060A (en)*2016-09-222017-03-08国网山东省电力公司电力科学研究院A kind of dynamic atmospheric corrosion area map data processing method, apparatus and system
CN106526075A (en)*2016-10-102017-03-22中国神华能源股份有限公司Flue gas monitoring method and apparatus
CN106383205A (en)*2016-10-132017-02-08北京伟瑞迪科技有限公司VOCs (Volatile Organic Compounds) region on-line monitoring and early warning system
CN106441449A (en)*2016-11-172017-02-22江苏智石科技有限公司Method for controlling industrial environment air pollution monitoring system
CN106441450A (en)*2016-11-172017-02-22江苏智石科技有限公司Monitoring system for air pollution of industrial environment
CN107085071A (en)*2017-03-232017-08-22重庆蓝岸通讯技术有限公司Environmental monitoring air all-in-one
CN106935019A (en)*2017-04-202017-07-07张红新A kind of danger signal gathers identifying system
CN107228920A (en)*2017-05-262017-10-03成都润泰茂成科技有限公司A kind of air-quality monitoring system for being capable of detecting when pollution type
CN112437876A (en)*2017-07-292021-03-02山东诺方电子科技有限公司Method and system for improving objectivity of atmospheric pollutant monitoring data
CN107271613A (en)*2017-07-312017-10-20合肥桥旭科技有限公司A kind of chemical plant environment pollution detection cleaning system
CN107179371A (en)*2017-08-012017-09-19苏州市光生环境科技有限公司A kind of VOC on-line checkings instrument instrumentation control system
CN108896713B (en)*2018-06-262021-04-23湖南凯迪工程科技有限公司Pollution treatment method and treatment system for gas pollution source
CN108762164A (en)*2018-06-262018-11-06山东睿益环境技术有限公司A kind of industrial park management method and its application
CN108716967A (en)*2018-06-262018-10-30山东睿益环境技术有限公司A kind of leakage accident source tracing method
CN109002380A (en)*2018-06-262018-12-14山东睿益环境技术有限公司A kind of Historical Monitoring data readback method and its application
CN108896713A (en)*2018-06-262018-11-27珠海市万顺睿通科技有限公司For the method for governing pollution and governing system in gaseous contamination source
CN110531030A (en)*2019-08-162019-12-03北京慧辰资道资讯股份有限公司A kind of method and device based on the analysis of Internet of Things big data atmosphere pollution
CN110531030B (en)*2019-08-162021-11-12北京慧辰资道资讯股份有限公司Method and device for analyzing atmospheric pollutants based on Internet of things big data
CN110658306B (en)*2019-09-242021-02-12北京承天示优科技有限公司Gas detection system
CN110658306A (en)*2019-09-242020-01-07北京承天示优科技有限公司Gas detection system
CN113514533A (en)*2020-04-102021-10-19中国石油化工股份有限公司Volatile dangerous chemical leakage detector
CN112229952A (en)*2020-09-302021-01-15重庆科技学院 A method for detecting toxic and harmful gases in chemical industry parks
CN112229952B (en)*2020-09-302022-11-15重庆科技学院Method for monitoring toxic and harmful gases in chemical industrial park
CN112524733A (en)*2020-12-072021-03-19南京千里行测控技术有限公司Intelligent detection air purifier and air purification system thereof
CN115208054A (en)*2022-06-062022-10-18汇网电气有限公司Intelligent management system for dry-type transformer
CN116795008A (en)*2023-06-192023-09-22深圳市骏业建筑科技有限公司Photovoltaic module cleaning control method, system, equipment and storage medium

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