CN112326583A - Intelligent toxic gas detection system and method based on Internet of things - Google Patents
Intelligent toxic gas detection system and method based on Internet of things Download PDFInfo
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
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Abstract
The invention provides an intelligent toxic gas detection system and method based on the Internet of things, which relate to the technical field of gas detection and comprise a monitoring module, an edge calculation module and an Internet of things monitoring terminal, wherein the monitoring module is used for acquiring original monitoring data of air in a plurality of measured points and transmitting the original monitoring data to the edge calculation module; the edge calculation module is used for carrying out data analysis according to the original monitoring data and transmitting the result of the data analysis to the monitoring terminal of the Internet of things; and the monitoring terminal of the Internet of things is used for early warning the measured point with toxic gas according to the result of data analysis. The invention utilizes the Internet of things architecture of the edge calculation to intelligently analyze the air environment, effectively detects and pre-warns the toxic gas according to the intelligent analysis result, achieves the aims of accurate detection, real-time analysis and quick pre-warning, and efficiently ensures the safety of the air environment.
Description
Technical Field
The invention relates to the technical field of gas detection, in particular to an intelligent toxic gas detection system and method based on the Internet of things.
Background
With the rapid development of economy, the construction of every aspect of China has gained remarkable results, wherein the construction of subways becomes the key point of urban development.
In the existing gas detection system, only the environmental gas data is collected and displayed, and a plurality of disadvantages exist. On one hand, the existing gas detection system is not efficient enough in processing environmental gas data and is difficult to analyze in real time; on the other hand, the existing detection system lacks an intelligent early warning mode and cannot reflect dangerous situations to related personnel quickly and in time. In conclusion, the existing gas detection system lacks a mechanism for real-time analysis and rapid early warning, so that the safety requirements of subways cannot be fully met.
Disclosure of Invention
In view of the above, the present invention is directed to solving, at least to some extent, the technical problems in the related art. In order to achieve the above object, in a first aspect, the present invention provides an intelligent toxic gas detection system based on the internet of things, which includes a monitoring module, an edge calculation module, and an internet of things monitoring terminal, wherein:
the monitoring module is in communication connection with the edge calculation module and is used for acquiring original monitoring data of air in a plurality of measured points and transmitting the original monitoring data to the edge calculation module;
the edge calculation module is in communication connection with the Internet of things monitoring terminal and is used for performing data analysis according to the original monitoring data and transmitting the result of the data analysis to the Internet of things monitoring terminal;
and the Internet of things monitoring terminal is used for early warning the measured point with toxic gas according to the data analysis result.
Therefore, the system and the method utilize the Internet of things architecture of the edge computing, carry out data acquisition on the air through the monitoring module, carry out intelligent analysis on the air environment through the edge computing module, effectively warn relevant workers about the toxic and harmful gas conditions through the monitoring terminal of the Internet of things according to the intelligent analysis result, achieve the purposes of accurate detection, real-time analysis and quick early warning, and efficiently ensure the safety of the gas environment.
Further, the monitoring module includes a gas receiving device and an infrared gas tester, the raw monitoring data includes gas composition data and infrared image data, wherein:
the gas receiving device is in communication connection with the edge calculation module and is used for acquiring the air of the corresponding measured point, acquiring the gas composition data of the measured point and transmitting the gas composition data to the edge calculation module;
the infrared gas tester is in communication connection with the edge calculation module and is used for performing infrared imaging on the air of the corresponding measured point, collecting the infrared image data of the measured point and transmitting the infrared image data to the edge calculation module.
From this, through setting up gaseous receiving arrangement and infrared gas tester, accomplish the data acquisition process, through the data acquisition means of difference, guarantee the comprehensiveness and the accuracy of data collection to the analysis field gas environment condition promotes overall system's operational reliability.
Further, the monitoring module further comprises a fault detection unit, wherein:
the fault detection unit is in communication connection with the edge calculation module and is used for detecting working parameters of the gas receiving device and the infrared gas tester and transmitting the working parameters to the edge calculation module, wherein the edge calculation module judges a fault condition according to the working parameters and transmits the fault condition to the Internet of things monitoring terminal for displaying.
Therefore, the fault diagnosis is carried out on the gas receiving device and the infrared gas tester through the fault judgment unit, and the accuracy of data acquisition is more efficiently ensured.
Further, the edge calculation module comprises a data concentration unit, a data analysis unit and a database unit, wherein:
the data centralizing unit is respectively in communication connection with the monitoring module and the data analyzing unit and is used for performing data centralizing processing on the original monitoring data of the plurality of measured points, determining overall system measuring data and transmitting the overall system measuring data to the data analyzing unit;
the data analysis unit is used for carrying out data analysis on the measurement data of the whole system, determining air analysis data of the measured point and early warning information of the measured point with toxic gas, and transmitting the early warning information to the monitoring terminal of the Internet of things, wherein the data analysis mode comprises big data analysis and learning, building and training of various deep learning models;
the database unit is used for storing the original monitoring data, the air analysis data and the early warning information of each measured point.
Therefore, the original monitoring data of the multiple measured points are effectively concentrated through the data concentration unit so as to be integrated and analyzed, the data are effectively stored through the database unit, the data are intelligently processed and analyzed through the data analysis unit, the air analysis data and the early warning information are quickly obtained, a reliable basis is provided for operators, and the real-time early warning effect is achieved.
Further, the data analysis unit comprises an analysis unit and an early warning unit, the air analysis data comprises chart data and gas index data, and the early warning information comprises positioning data of the measured point with toxic gas and corresponding protective measures, wherein:
the analyzing unit is respectively in communication connection with the data concentrating unit, the early warning unit and the internet of things monitoring terminal, and is used for performing data analysis on the overall system measurement data, determining the chart data and the gas index data of each measured point, and respectively transmitting the chart data and the gas index data to the internet of things monitoring terminal and the early warning unit;
the early warning unit is in communication connection with the analysis unit and the Internet of things monitoring terminal respectively, and is used for determining the positioning data according to the chart data and the gas index data, matching the positioning data in a preset intelligent management strategy, determining the corresponding protective measures, and transmitting the positioning data and the corresponding protective measures to the Internet of things monitoring terminal so as to early warn the measured points with toxic and harmful gases.
Therefore, the gas environment condition of each measured point is analyzed in real time through the analysis unit, the positioning data of the measured point with toxic gas is determined through the positioning unit, and corresponding protective measures are determined through the early warning unit, so that the purposes of real-time analysis, quick positioning and timely early warning are achieved.
Further, the analysis unit includes a chart analysis unit and an index analysis unit, wherein:
the chart analysis unit is in communication connection with the data concentration unit, the early warning unit and the internet of things monitoring terminal, and is used for performing data analysis on the overall system measurement data to generate an analysis image of each measured point, wherein the analysis image comprises a gas environment history curve and a gas composition histogram of the measured point:
the index analysis unit is in communication connection with the data concentration unit, the early warning unit and the internet of things monitoring terminal, and is used for performing data analysis on the whole system measurement data to generate index data of each measured point, wherein the index data comprise real-time gas data of the measured point, the line to which the measured point belongs and the transformer substation to which the measured point belongs.
Therefore, the invention determines the charting data of each measured point by arranging the chart analysis unit so as to facilitate the visual display of the Internet of things monitoring terminal, and simultaneously, the index analysis unit is arranged so as to more clearly and objectively display the environmental index of the measured point, thereby being convenient for visually showing the environmental index to related personnel and enhancing the real-time property of the system.
Further, thing networking monitor terminal includes data analysis display element and early warning display element, wherein:
the data display unit is in communication connection with the analysis unit and is used for displaying the chart data and the gas index data of each measured point;
the early warning display unit is in communication connection with the early warning unit and is used for displaying the positioning data and the corresponding protective measures when the measured point with toxic gas appears so as to position the measured point with toxic gas and remind related personnel of taking protective measures.
Therefore, the intelligent analysis system is provided with the corresponding data display unit to display the intelligent analysis result to relevant personnel in real time, and meanwhile, the corresponding early warning display unit is arranged to give early warning to the relevant personnel in time, so that the relevant personnel can take protective measures quickly, and the safety of the system is enhanced.
Further, the internet of things monitoring terminal further comprises an operation management unit, wherein:
and the operation management unit is used for setting system operation parameters according to an operation instruction issued by the user, wherein the system operation parameters comprise the acquisition time of the monitoring module and/or a gas alarm threshold value and/or the distribution position of the measuring point and/or personnel permission.
Therefore, the operation management unit is arranged on the monitoring terminal of the Internet of things, so that the operation management of related personnel is facilitated, and the flexibility and the practicability of the system are enhanced.
Further, gaseous intelligent detection system poisons based on thing networking still includes early warning device, wherein:
the early warning equipment is in communication connection with the edge calculation module and is used for early warning the measured point with toxic gas in an acoustic and optical mode according to the data analysis result of the edge calculation module.
Therefore, acousto-optic early warning is carried out on the measured point with toxic gas through the early warning equipment, so that early warning is carried out on people nearby the measured point in real time, and the running safety of the system is fully enhanced.
In order to achieve the above object, in a second aspect, the present invention provides an intelligent toxic gas detection method based on the internet of things, which is used for controlling the intelligent toxic gas detection system based on the internet of things, and includes:
collecting original monitoring data of air in a plurality of measured points;
performing data analysis according to the original monitoring data;
and according to the data analysis result, early warning is carried out on the measured point with toxic gas.
The invention provides an intelligent toxic gas detection method based on the Internet of things based on the intelligent toxic gas detection system based on the Internet of things, which utilizes an Internet of things architecture of edge computing, carries out data acquisition on air through a monitoring module, carries out intelligent analysis on the air environment through the edge computing module, effectively warns the toxic gas condition to related workers through an Internet of things monitoring terminal according to the intelligent analysis result, achieves the purposes of accurate detection, real-time analysis and quick warning, and efficiently ensures the safety of the gas environment.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent toxic gas detection system based on the internet of things according to an embodiment of the invention;
FIG. 2 is a schematic structural diagram of a monitoring module according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an edge calculation module according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a data analysis unit according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of an analysis unit according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a monitoring terminal of the internet of things according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a monitoring terminal of the internet of things according to an embodiment of the present invention;
fig. 8 is a schematic flow chart of an intelligent toxic gas detection method based on the internet of things according to an embodiment of the invention;
fig. 9 is a schematic flow chart of data analysis according to an embodiment of the present invention.
Reference numerals:
101-a monitoring module, 1011-a gas receiving device, 1012-an infrared gas tester, 1013-a fault judgment unit, 102-an edge calculation module, 1021-a data concentration unit, 1022-a data analysis unit, 10221-an analysis unit, 102211-a chart analysis unit, 102212-an index analysis unit, 10222-an early warning unit, 1023-a database unit, 103-an internet of things monitoring terminal, 1031-a data display unit, 1032-an early warning display unit and 1033-an operation management unit.
Detailed Description
Embodiments in accordance with the present invention will now be described in detail with reference to the drawings, wherein like reference numerals refer to the same or similar elements throughout the different views unless otherwise specified. It is to be noted that the embodiments described in the following exemplary embodiments do not represent all embodiments of the present invention. They are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the claims, and the scope of the present disclosure is not limited in these respects. Features of the various embodiments of the invention may be combined with each other without departing from the scope of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the existing gas detection system, only the environmental gas data is collected and displayed, and a plurality of disadvantages exist. On one hand, the existing gas detection system is not efficient enough in processing environmental gas data and is difficult to analyze in real time; on the other hand, the existing detection system lacks an intelligent early warning mode and cannot reflect dangerous situations to related personnel quickly and in time. In conclusion, the existing gas detection system lacks a mechanism for real-time analysis and rapid early warning, so that the safety requirements of subways cannot be fully met.
The embodiment of the first aspect of the invention provides an intelligent toxic gas detection system based on the Internet of things. Fig. 1 is a schematic structural diagram of an intelligent toxic gas detection system based on the internet of things according to an embodiment of the present invention, including a monitoring module 101, an edge calculation module 102, and an internet of things monitoring terminal 103, where:
the monitoring module 101 is in communication connection with the edge calculation module 102, and is configured to collect original monitoring data of air in a plurality of measured points, and transmit the original monitoring data to the edge calculation module 102. The original monitoring data comprises monitoring data of PM2.5, PM10, PM100, sulfur dioxide, nitrogen dioxide, ozone, oxygen, carbon monoxide, carbon dioxide, methane, hydrogen sulfide and other gases accumulated in the track in the air of the measured point, so that the aim of efficiently monitoring the gas environment is fulfilled.
The edge calculation module 102 is in communication connection with the internet of things monitoring terminal 103, and is configured to perform data analysis according to the original monitoring data, and transmit a result of the data analysis to the internet of things monitoring terminal 103. In the embodiment of the invention, data analysis is performed in various forms, including but not limited to big data analysis, and learning, building and training of a monitoring data calibration model, so that the high efficiency and the real-time performance of data analysis are ensured.
Specifically, the edge computing module 102 is composed of a high-reliability computer (Server, workstation or industrial personal computer), a Windows operating system (Server version is recommended), SQL Server database management software, and Server version master station system software, collects all the original monitoring data detected by the monitoring module 101 through various networking methods (ethernet, RS-485, GPRS, wireless ad hoc network, etc.), stores the collected data into a database according to set grouping logic and policies through a series of data analysis processes, and provides complete setting functions, and display, analysis, event generation and viewing functions.
And the Internet of things monitoring terminal 103 is used for early warning the measured point with toxic gas according to the data analysis result. The embodiment of the invention adopts a terminal early warning mode to quickly remind relevant personnel of the existence of a measured point with toxic and harmful gas so that the relevant personnel can take measures in time.
Specifically, the internet of things monitoring terminal 103 includes client version master station software, and can be installed on any computer based on a Windows operating system belonging to the same local area network, and is used for viewing all data, events and states of the system, so as to facilitate operations of related personnel.
In the embodiment of the invention, the internet of things architecture of edge computing is utilized, the monitoring module 101 is used for acquiring data of air, the edge computing module 102 is used for intelligently analyzing the air environment, and the condition of toxic and harmful gas is effectively pre-warned to relevant workers through the internet of things monitoring terminal 103 according to the intelligent analysis result, so that the aims of accurate detection, real-time analysis and quick pre-warning are fulfilled, and the safety of the gas environment is efficiently ensured.
Fig. 2 is a schematic structural diagram of a monitoring module according to an embodiment of the present invention, where the monitoring module 101 includes a gas receiving device 1011 and an infrared gas tester 1012, and the original monitoring data includes gas composition data and infrared image data of a measured point, where:
and the gas receiving device 1011 is in communication connection with the edge calculation module 102, and is used for acquiring the air of the corresponding measured point, collecting the gas composition data of the measured point and transmitting the data to the edge calculation module 102. The gas composition data includes, among other things, composition data such as sulfur dioxide, nitrogen dioxide, ozone, oxygen, carbon monoxide, carbon dioxide in the air environment.
And the infrared gas tester 1012 is in communication connection with the edge calculation module 102 and is used for performing infrared imaging on the air of the corresponding measured point so as to acquire infrared image data of the measured point.
In the embodiment of the invention, the gas receiving device 1011 and the infrared gas tester 1012 are arranged to complete the data acquisition process, and the comprehensiveness and accuracy of the acquired data are ensured by different data acquisition means, so that the field gas environment condition can be analyzed, and the operation reliability of the whole system is improved.
Optionally, as seen in fig. 2, the monitoring module 101 further includes a failure determination unit 1013, where:
and the fault judgment unit 1013 is in communication connection with the edge calculation module 102, and is configured to detect working parameters of the gas receiving device 1011 and the infrared gas tester 1012, and transmit the working parameters to the edge calculation module 102, where the edge calculation module 102 judges a fault condition according to the working parameters, and transmits the fault condition to the internet of things monitoring terminal 103 for display. Therefore, fault diagnosis is performed on the gas receiving device 1011 and the infrared gas tester 1012 through the fault judgment unit, and relevant information is sent to the internet of things monitoring terminal 103 in time, so that relevant personnel can take measures and the accuracy of data acquisition is guaranteed more efficiently.
Fig. 3 is a schematic structural diagram of an edge calculation module according to an embodiment of the present invention, and referring to fig. 3, the edge calculation module 102 includes a data concentration unit 1021, a data analysis unit 1022, and a database unit 1023, wherein:
and the data centralizing unit 1021 is in communication connection with the monitoring module 101, the data analyzing unit 1022 and the database unit 1023 respectively, and is used for performing data centralizing processing on the raw monitoring data of the plurality of measured points, determining overall system measurement data, and transmitting the overall system measurement data to the data analyzing unit 1022. Thus, the raw detection data of each measured point is efficiently transmitted in a concentrated manner by the data concentration unit 1021.
Specifically, the data concentration unit 1021 includes a plurality of gateway devices, and centrally transmits raw monitoring data of each measured point corresponding to each measured point, so that the data analysis unit 1022 performs integrated analysis on the raw monitoring data of the plurality of measured points, and ensures the accuracy of data processing.
And the data analysis unit 1022 is in communication connection with the data concentration unit 1021 and the database unit 1023 respectively, and is used for performing data analysis on the measurement data of the whole system, determining air analysis data of the measured point and early warning information of the measured point with toxic gas, and transmitting the early warning information to the internet of things monitoring terminal 103, wherein the data analysis mode comprises big data analysis and establishment and training of various deep learning models.
Specifically, the data analysis unit 1022 includes a cloud computing center, which performs various data analyses on the measurement data of the whole system. For example, whole system measurement data is processed using big data analysis; or, a deep learning algorithm is utilized, various models are established according to the collected overall system measurement data, a set of complete monitoring and evaluation closed-loop system with real-time perception, big data analysis, autonomous learning and self evolution is formed, and the accuracy of the collected data is continuously improved along with the accumulation of the operation of the system. It is understood that the data parsing of the present invention includes, but is not limited to, the above processing manner, as long as the fast and accurate real-time requirement is satisfied.
And the database unit 1023 is in communication connection with the data centralizing unit 1021 and the data analyzing unit 1022 respectively and is used for storing the raw monitoring data, the air analyzing data and the early warning information of each measured point. Therefore, the invention can store the collected data in the system for a long time, and can inquire the data at any time according to the selected group or the specific sensor.
In the embodiment of the invention, the original monitoring data of a plurality of measured points are effectively concentrated by the data concentration unit 1021 so as to be integrated and analyzed, the effective storage of the data is completed by the database unit 1023, the intelligent processing and analysis of the data are completed by the data analysis unit 1022, the air analysis data and the optimal early warning strategy are rapidly obtained, a reliable basis is provided for operators, and the effect of real-time early warning is achieved.
Fig. 4 is a schematic structural diagram of a data analysis unit according to an embodiment of the present invention, and referring to fig. 4, the data analysis unit 1022 includes an analysis unit 10221 and an early warning unit 10222, the air analysis data includes graph data and gas index data, and the early warning information includes positioning data of a measured point where toxic gas exists and corresponding protective measures, where:
the analyzing unit 10221 is in communication connection with the data concentrating unit 1021, the early warning unit 10222 and the internet of things monitoring terminal 103, and is configured to perform data analysis on the measurement data of the whole system, determine chart data and gas index data of each measured point, and transmit the chart data and the gas index data to the internet of things monitoring terminal 103 and the early warning unit 10222 respectively. Therefore, the analysis unit 10221 processes the measurement data of the whole system by using various algorithms, determines the chart data and the gas index data of each measured point, transmits the chart data and the gas index data to the early warning unit 10222 for further analysis and early warning, improves the real-time performance of the early warning, and transmits the data to the monitoring terminal 103 of the internet of things for visualization processing, so that the related personnel can conveniently check the data, and the convenience of the system is improved.
The early warning unit 10222 is in communication connection with the analysis unit 10221 and the internet of things monitoring terminal 103, and is configured to determine positioning data according to the chart data and the gas index data, match the positioning data in a preset intelligent management strategy, determine corresponding protective measures, and transmit the positioning data and the corresponding protective measures to the internet of things monitoring terminal 103, so as to perform early warning on a measured point where toxic gas exists. Therefore, the invention further analyzes and processes the chart data and the gas index data by using the early warning unit 10222, determines the positioning data of the measured point with toxic gas and the corresponding protective measures in time, and sends the positioning data and the corresponding protective measures to the monitoring terminal 103 of the internet of things for accurate and timely early warning.
In the embodiment of the invention, the gas environment condition of each measured point is analyzed in real time by the analysis unit 10221, and the positioning data and corresponding protective measures of toxic gas are determined by the early warning unit 10222, so as to achieve the purposes of real-time analysis, quick positioning and timely early warning.
Fig. 5 is a schematic structural diagram of an analysis unit according to an embodiment of the present invention, and when viewed in conjunction with fig. 5, the analysis unit 10221 includes a graph analysis unit 102211 and an index analysis unit 102212, wherein:
and the chart analysis unit 102211 is in communication connection with the data concentration unit 1021, the early warning unit 10222 and the internet of things monitoring terminal 103, and is used for performing data analysis on the measurement data of the whole system to generate an analysis image of each measured point, wherein the analysis image comprises a gas environment history curve and a gas composition histogram of the measured point.
Specifically, the gas environment historical curve of the measured point comprises historical change curves of various gas contents in the environment of the measured point. The gas composition histogram of the measured point comprises histograms of various gas contents in the environment of the measured point, such as a gas content maximum value histogram and a gas content minimum value histogram, wherein the histogram is set to be green when the gas content is at a normal value, and the histogram is set to be red when the gas content is at an abnormal value. Thus, the graph analyzing unit 102211 performs data analysis on the entire system measurement data, determines an analysis image to quickly reflect the gas environment characteristics of the measured point, and performs corresponding warning marking.
Optionally, the chart analysis unit 102211 is further configured to perform data analysis on the measurement data of the whole system to generate an operation image and a fault detection image of the measured point. The operation image comprises an output electrical equipment working condition practical graphic report, an output real-time power meter and an electrical node historical curve, so that the operation condition of each measured point is directly displayed; the fault detection image comprises an abnormal quantity chart of the electrical equipment component, so that when the chart analysis unit 102211 analyzes that a certain measured point has a fault, the abnormal chart can be provided according to the result of data analysis, and the adjustment and improvement of the measured point by related personnel are facilitated.
And the index analysis unit 102212 is in communication connection with the data concentration unit 1021, the early warning unit 10222 and the internet of things monitoring terminal 103, and is used for performing data analysis on the measurement data of the whole system to generate index data of each measured point, wherein the index data comprises real-time gas data of the measured point, the line to which the measured point belongs and the substation to which the measured point belongs.
Specifically, the index data further includes maximum gas data, minimum gas data, multiple gas indexes, a switch cabinet to which the measured point belongs, and a circuit to which the measured point belongs, and it is understood that the index data in the embodiment of the present invention includes, but is not limited to, the above listed data as long as the gas environment characteristics and the system operation characteristics of the measured point can be effectively reflected.
Fig. 6 is a schematic structural diagram of the internet of things monitoring terminal 103 according to the embodiment of the present invention, and referring to fig. 6, the internet of things monitoring terminal 103 includes a data analysis display unit 1031 and an early warning display unit 1032, where:
the data display unit 1031 is in communication connection with the analysis unit 10221 and is used for displaying the chart data and the gas index data of each measured point, so that the data are displayed to related personnel intuitively, and the visualization of the data is ensured;
and the early warning display unit 1032 is in communication connection with the early warning unit 10222 and is used for displaying positioning data and corresponding protective measures when a measured point with toxic gas appears, so as to position the measured point with toxic gas and remind related personnel of taking protective measures.
In the embodiment of the invention, the corresponding data display unit is arranged to display the intelligent analysis result to the relevant personnel in real time, and meanwhile, the corresponding early warning display unit is arranged to give early warning to the relevant personnel in time, so that the relevant personnel can take protective measures quickly and the safety of the system is enhanced.
Optionally, the monitoring terminal 103 of the internet of things further includes a fault display unit (not shown in the figure) for displaying fault conditions of the monitoring module 101, wherein the edge calculation module 102 determines fault conditions of the monitoring module 101, including fault points, fault reasons, fault devices, and the like, by performing data analysis on original detection data of the monitoring module 101, and transmits the relevant fault conditions to the fault display unit for displaying, so that the relevant personnel can overhaul the system, and the normal operation of the system is ensured.
Fig. 7 is a schematic structural diagram of the internet of things monitoring terminal 103 according to the embodiment of the present invention, and the internet of things monitoring terminal 103 further includes an operation management unit 1033, where:
and the operation management unit 1033 is configured to set system operation parameters according to an operation instruction issued by a user, where the system operation parameters include acquisition time of the monitoring module 101, and/or a gas alarm threshold value, and/or a distribution position of a measurement point, and/or a personnel right.
Optionally, the operation management unit 1033 is specifically configured to set configuration parameters of the sensor group and the sensor individual of each measured point, including naming, pairing, positioning, parameter setting, and the like. Therefore, the configuration of the sensor is effectively completed, and the accurate acquisition of data is ensured. Therefore, the operation management unit is arranged on the internet of things monitoring terminal 103, so that the operation management can be conveniently carried out by related personnel, and the flexibility and the practicability of the system are enhanced.
Optionally, the operation management unit 1033 is further specifically configured to set an excess and release of the measurement point, set and release of a sensor fault, and set an online and offline of the network device. Therefore, relevant personnel can conveniently select measuring points, timely deal with faults, adjust networks and the like, flexibility and practicability of the system are enhanced, and operation of the relevant personnel is facilitated.
Optionally, the operation management unit 1033 is specifically configured to set a person authority. All the operation data setting, modification and the like need to be operated by personnel with set authorities, and the safety of system operation is enhanced by distributing authorities.
Optionally, the operation management unit 1033 is specifically further configured to set a gas alarm threshold. Therefore, when the edge calculation module 102 finds that the content of toxic gas of a certain measured point is higher than the gas alarm threshold value through data analysis, the toxic gas content of the certain measured point is sent to the monitoring terminal 103 of the internet of things for early warning, and the safety of the system is guaranteed.
Optionally, the operation management unit 1033 is specifically further configured to monitor the acquisition time of the module 101. Therefore, the relevant personnel can manage the relevant acquisition time by operating the management unit 1033, and the flexibility of the system is enhanced.
Optionally, the system for intelligently detecting a toxic gas based on the internet of things in the embodiment of the present invention further includes an early warning device (not shown in the figure), which is in communication connection with the edge computing module 102, and is configured to perform early warning on a measured point where the toxic gas exists in an acoustic or optical manner according to a result of data analysis performed by the edge computing module 102. Therefore, acousto-optic early warning is carried out on the measured point with toxic gas through the early warning equipment, so that early warning is carried out on people nearby the measured point in real time, and the running safety of the system is fully enhanced.
The embodiment of the first aspect of the invention utilizes the Internet of things architecture of edge computing to intelligently analyze the air environment, effectively detects and pre-warns toxic gas according to the intelligent analysis result, achieves the purposes of accurate detection, real-time analysis and quick pre-warning, and efficiently ensures the safety of the air environment.
The embodiment of the second aspect of the invention provides an intelligent toxic gas detection method based on the internet of things, which is based on the intelligent toxic gas detection system based on the internet of things. Fig. 8 is a schematic flow chart of an intelligent toxic gas detection method based on the internet of things according to an embodiment of the present invention, and when viewed in conjunction with fig. 8, the method includes steps S1 to S3, where:
in step S1, raw monitoring data of the air in a plurality of measured points is collected. Thereby, effective data monitoring is performed.
In step S2, data analysis is performed based on the raw monitoring data. The embodiment of the invention adopts various forms for data analysis, including but not limited to big data analysis, and learning, establishing and training of a monitoring data calibration model, so as to ensure the high efficiency and real-time performance of data analysis.
In step S3, a measured point with toxic gas is warned according to the result of data analysis. Therefore, the invention adopts a terminal early warning mode to quickly remind relevant personnel of the existence of the measured point with toxic gas, so that the relevant personnel can take measures in time.
In the embodiment of the invention, the air environment is intelligently analyzed by utilizing the Internet of things architecture of the edge calculation, toxic gas is effectively detected and early warned according to the intelligent analysis result, the aims of accurate detection, real-time analysis and quick early warning are fulfilled, and the safety of the air environment is efficiently ensured.
Fig. 9 is a schematic flow chart illustrating data analysis according to an embodiment of the present invention, and when viewed in conjunction with fig. 9, step S2 includes steps S21 to S23, wherein:
in step S21, the raw monitoring data of the plurality of measured points are collectively processed to determine the overall system measurement data. Thus, the raw monitoring data is effectively concentrated for subsequent integrated analysis.
In step S22, the data of the whole system measurement data is analyzed, the graph data and the air index data of the measured point are determined, and the graph data and the air index data are transmitted to the internet of things monitoring terminal 103 for display. The data analysis mode comprises big data analysis, deep learning model establishment and application. Therefore, chart data and air index data are effectively visualized, and analysis and checking of related personnel are facilitated.
In step S23, positioning data is determined according to the chart data and the air index data, matching is performed in a preset intelligent management strategy, a corresponding safeguard measure is determined, and the positioning data and the corresponding safeguard measure are transmitted to the internet of things monitoring terminal 103 for display. When toxic gas occurs, a window pops up at the monitoring terminal 103 of the internet of things to prompt positioning data of a measured point where the toxic gas occurs and corresponding protective measures. Therefore, accurate and timely early warning is guaranteed to be carried out in the system operation process.
In the embodiment of the invention, the original monitoring data of a plurality of measured points are processed in a centralized way, then the measured data of the whole system is analyzed, and the positioning data and related protective measures of toxic and harmful gases are determined, so that the data analysis result can be conveniently checked by related personnel, the early warning can be timely carried out on the related personnel, and the convenience and the safety of the system are improved.
The more specific implementation manner of each step in the intelligent toxic gas detection method based on the internet of things provided by the invention can be referred to the description of the intelligent toxic gas detection system based on the internet of things, and has similar beneficial effects, and the detailed description is omitted here.
Although the present disclosure has been described above, the scope of the present disclosure is not limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present disclosure, and such changes and modifications will fall within the scope of the present invention.
Claims (10)
1. The utility model provides a poison gas intelligent detection system based on thing networking, which comprises a monitoring module (101), an edge calculation module (102) and a thing networking monitor terminal (103), wherein:
the monitoring module (101) is in communication connection with the edge computing module (102) and is used for collecting original monitoring data of air in a plurality of measured points and transmitting the original monitoring data to the edge computing module (102);
the edge computing module (102) is in communication connection with the internet of things monitoring terminal (103), and is used for performing data analysis according to the original monitoring data and transmitting a data analysis result to the internet of things monitoring terminal (103);
and the Internet of things monitoring terminal (103) is used for early warning the measured point with toxic gas according to the data analysis result.
2. The intelligent toxic gas detection system based on the internet of things as claimed in claim 1, wherein the monitoring module (101) comprises a gas receiving device (1011) and an infrared gas tester (1012), the raw monitoring data comprises gas composition data and infrared image data, and wherein:
the gas receiving device (1011) is in communication connection with the edge calculation module (102) and is used for acquiring the air of the corresponding measured point, acquiring the gas composition data of the measured point and transmitting the data to the edge calculation module (102);
the infrared gas tester (1012) is in communication connection with the edge calculation module (102) and is used for performing infrared imaging on the air of the corresponding measured point, acquiring the infrared image data of the measured point and transmitting the infrared image data to the edge calculation module (102).
3. The intelligent toxic gas detection system based on the internet of things as claimed in claim 2, wherein the monitoring module (101) further comprises a fault detection unit (1013), wherein:
the fault detection unit (1013) is in communication connection with the edge calculation module (102) and is configured to detect working parameters of the gas receiving device (1011) and the infrared gas tester (1012) and transmit the working parameters to the edge calculation module (102), wherein the edge calculation module (102) determines a fault condition according to the working parameters and transmits the fault condition to the internet of things monitoring terminal (103) for display.
4. The intelligent toxic gas detection system based on the internet of things as claimed in claim 1, wherein the edge computing module (102) comprises a data centralizing unit (1021), a data analyzing unit (1022) and a database unit (1023), wherein:
the data centralizing unit (1021) is respectively in communication connection with the monitoring module (101), the data analyzing unit (1022) and the database unit (1023), and is used for performing data centralizing processing on the raw monitoring data of a plurality of measured points, determining overall system measurement data and transmitting the overall system measurement data to the data analyzing unit (1022);
the data analysis unit (1022) is in communication connection with the data concentration unit (1021), the database unit (1023) and the internet of things monitoring terminal (103), and is used for performing data analysis on the overall system measurement data, determining air analysis data of the measured point and early warning information of the measured point with toxic gas, and transmitting the air analysis data and the early warning information to the internet of things monitoring terminal (103) and the database unit (1023), wherein the data analysis mode comprises big data analysis and establishment and application of various deep learning models;
the database unit (1023) is in communication connection with the data concentration unit (1021), the data analysis unit (1022) and the internet of things monitoring terminal (103) respectively and is used for storing the original monitoring data, the air analysis data and the early warning information of each measured point.
5. The intelligent detecting system for poisonous gas based on internet of things as claimed in claim 4, wherein the data analyzing unit (1022) comprises an analyzing unit (10221) and an early warning unit (10222), the air analyzing data comprises graph data and gas index data, and the early warning information comprises positioning data of the measured points with poisonous gas and corresponding protective measures, wherein:
the analyzing unit (10221) is in communication connection with the data concentration unit (1021), the early warning unit (10222) and the internet of things monitoring terminal (103), and is used for performing data analysis on the overall system measurement data, determining the graph data and the gas index data of each measured point, and transmitting the graph data and the gas index data to the internet of things monitoring terminal (103) and the early warning unit (10222) respectively;
the early warning unit (10222) is in communication connection with the analysis unit (10221) and the internet of things monitoring terminal (103), and is configured to determine the positioning data according to the chart data and the gas index data, perform matching in a preset intelligent management strategy, determine the corresponding safeguard measure, and transmit the positioning data and the corresponding safeguard measure to the internet of things monitoring terminal (103), so as to early warn the measured point with toxic and harmful gas.
6. The intelligent toxic gas detection system based on the internet of things as claimed in claim 5, wherein the analysis unit (10221) comprises a chart analysis unit (102211) and an index analysis unit (102212), wherein:
the chart analysis unit (102211) is in communication connection with the data concentration unit (1021), the early warning unit (10222) and the internet of things monitoring terminal (103), and is used for performing data analysis on the overall system measurement data to generate an analysis image of each measured point, wherein the analysis image comprises a gas environment history curve and a gas composition histogram of the measured point:
the index analysis unit (102212) is in communication connection with the data concentration unit (1021), the early warning unit (10222) and the internet of things monitoring terminal (103), and is used for performing data analysis on the overall system measurement data to generate index data of each measured point, wherein the index data comprises real-time gas data, line data and substation data of the measured point.
7. The intelligent toxic gas detection system based on the Internet of things of claim 5, wherein the Internet of things monitoring terminal (103) comprises a data analysis display unit (1031) and an early warning display unit (1032), wherein:
the data display unit is in communication connection with the analysis unit (10221) and is used for displaying the chart data and the gas index data of each measured point;
the early warning display unit (1032) is in communication connection with the early warning unit (10222) and is used for displaying the positioning data and the corresponding protective measures when the measured point with toxic gas appears, so as to position the measured point with toxic gas and remind related personnel of taking protective measures.
8. The intelligent toxic gas detection system based on the internet of things as claimed in claim 7, wherein the internet of things monitoring terminal (103) further comprises an operation management unit (1033), wherein:
the operation management unit (1033) is configured to set system operation parameters according to the issued operation instruction, where the system operation parameters include acquisition time of the monitoring module (101) and/or a gas alarm threshold value and/or a distribution position of the measurement point and/or a personnel right.
9. The intelligent toxic gas detection system based on the internet of things as claimed in any one of claims 1-8, further comprising an early warning device, wherein:
the early warning equipment is in communication connection with the edge calculation module (102) and is used for early warning the measured point with toxic gas in a sound and light mode according to the data analysis result of the edge calculation module (102).
10. An intelligent toxic gas detection method based on the Internet of things, which is used for controlling the intelligent toxic gas detection system based on the Internet of things as claimed in any one of claims 1 to 9, and is characterized by comprising the following steps:
collecting original monitoring data of air in a plurality of measured points;
performing data analysis according to the original monitoring data;
and according to the data analysis result, early warning is carried out on the measured point with toxic gas.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545875A (en) * | 2022-01-06 | 2022-05-27 | 泰州威绿环保科技有限公司 | Waste gas pollution treatment system for stainless steel product centralized cleaning workshop |
| CN115396476A (en) * | 2022-09-28 | 2022-11-25 | 广西自贸区见炬科技有限公司 | Thermoelectric internet of things system with high precision |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114545875A (en) * | 2022-01-06 | 2022-05-27 | 泰州威绿环保科技有限公司 | Waste gas pollution treatment system for stainless steel product centralized cleaning workshop |
| CN115396476A (en) * | 2022-09-28 | 2022-11-25 | 广西自贸区见炬科技有限公司 | Thermoelectric internet of things system with high precision |
| CN115396476B (en) * | 2022-09-28 | 2023-06-06 | 广西自贸区见炬科技有限公司 | Thermoelectric internet of things system with high accuracy |
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