CN113643515A - Combustible dust automatic identification judges and alarm system - Google Patents
Combustible dust automatic identification judges and alarm system Download PDFInfo
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- CN113643515A CN113643515A CN202110867349.5A CN202110867349A CN113643515A CN 113643515 A CN113643515 A CN 113643515A CN 202110867349 A CN202110867349 A CN 202110867349A CN 113643515 A CN113643515 A CN 113643515A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/12—Alarms for ensuring the safety of persons responsive to undesired emission of substances, e.g. pollution alarms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Abstract
The invention discloses an automatic combustible dust identification, judgment and alarm system which comprises a data acquisition module, a data transmission module, an intelligent host, a regulation and control module and an alarm module, wherein the data acquisition module is used for carrying out uninterrupted data acquisition, tracking and statistical analysis on various kinds of dust and concentration on site, the data transmission module is used for transmitting data, and the intelligent host is used for analyzing and early warning the data. The invention utilizes a setting mode of matching a data acquisition module and an intelligent host to realize the measurement and statistics of dust concentration in the air in various different particle size ranges, an industrial fine dust monitoring system based on an imaging method realizes the real-time monitoring of fine particle information and particle size thereof, a metal polished dust three-dimensional space distribution field is formed based on multi-point continuous monitoring, a distributed measurement and control network is established based on a cloud computing technology, the integral fusion application of industrial internet and safety production is embodied, and the information technology is perfectly applied to the safety production industry.
Description
Technical Field
The invention relates to the field of gas dust explosion prevention and control, in particular to an automatic combustible dust identification, judgment and alarm system.
Background
Various kinds of dust inevitably generated in the production and storage processes of various manufacturing industries further form dust-air mixtures, the concentration of the dust is continuously improved along with the time lapse and the relatively closed environment, dust combustion or explosion is easily caused, and huge losses are caused to the lives and properties of people. The field condition of dust is complicated, and dust size, concentration, ignition point are diverse, and accurate differentiation, correct early warning can not be accomplished to traditional detection mode, have left very big hidden danger for the safety in production, have restricted the healthy development of enterprise.
The existing dust early warning system has a certain effect in the safety production process, but still has a plurality of defects, and has a great improvement space.
1. The monitoring function is single, the monitoring is focused on the monitoring of the concentration of dust in houses and outdoors, the monitoring of the concentration of specific dust generated in specific places such as factories is lacked, and the concentration monitoring can not be carried out in a targeted manner according to the unique characteristics of various types of dust;
2. the networking level is low, the full digital system is not completely networked, a network interface is lack for the outside, the external sharing and releasing of information cannot be realized, and a remote monitoring and management system cannot be established;
3. the intellectualization is not realized, the digitalization and the intellectualization are not realized completely, and the technical direction of the Internet of things is not met; meanwhile, the system is lack of an intelligent analysis function, is only limited to a monitoring level and is not in line with the technical level of the equipment state monitoring field.
Disclosure of Invention
The invention aims to provide an automatic combustible dust identification, judgment and alarm system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an automatic combustible dust identification, judgment and alarm system comprises a data acquisition module, a data transmission module, an intelligent host, a regulation and control module and an alarm module, wherein the data acquisition module is used for carrying out uninterrupted data acquisition, tracking and statistical analysis on various kinds of dust and concentration on site;
the data acquisition module comprises a dust concentration monitoring submodule, air sampling is carried out by sucking air in the dust concentration monitoring submodule according to a certain proportion, when particles in sampled gas pass through light beams converged by a light source and the like, a light scattering phenomenon is generated, scattered light is converted into electric signals through a photoelectric converter, the larger the particles are, the larger the pulse signals are, the number concentration of each particle diameter can be obtained through the wave peak value and the pulse number at the moment, and real-time test data can be obtained by testing the number and the intensity of the scattered light.
Preferably, the data acquisition module further comprises a temperature monitoring submodule and a humidity monitoring submodule, the temperature monitoring submodule is used for detecting the temperature of the environment, the humidity monitoring submodule is used for monitoring the humidity of the environment, the temperature monitoring submodule realizes multipoint temperature measurement through the DSB temperature measurement module, and aiming at the problem that the efficiency of a traditional binary tree search algorithm for serial numbers in single-bus DSB temperature measurement cables is low, an optimized binary tree search algorithm is designed based on the identification of the same family code and the same digit in different DSB serial numbers of a single temperature measurement cable.
Preferably, the data transmission module is used for data transmission between the data terminal and the intelligent host, the data transmission module combines the advantages of the LoRa wireless transmission technology, a low-power-consumption remote data transmission scheme based on a star network structure is designed, a dormancy mechanism is realized based on channel activity detection, a low-power-consumption awakening mode is combined by the two modes, data are uploaded in order according to the module number, and a Contiki embedded system is adopted to realize multi-process high-efficiency work.
Preferably, the intelligent host comprises a data receiving submodule, a data storage submodule and a data prediction submodule, the intelligent host builds and designs a prediction model based on a local weighted linear regression algorithm based on a platform of embedded ARM + Linux, different weights are distributed to data near a prediction point by combining historical correlation with sensor data at the next moment, the prediction model based on the local weighted linear regression algorithm is designed, and the LoRa terminal and system function test and analysis are carried out by comparing the model with the prediction model based on the linear regression algorithm.
Preferably, the data terminal comprises an internet of things platform, an internet wireless gateway and an internet of things dust monitoring terminal.
Preferably, the thing networking platform carries out intercommunication with remote wireless gateway with NB-IoT mode, a platform can manage up to 65536 wireless gateways, can conveniently give each wireless gateway issue the instruction through the display in order to control each dust monitoring point, can show the concentration and the relevant additional information of monitoring point dust on the PC display, when dust concentration reaches the specified upper limit, send the sound and report an emergency and ask for help or increased vigilance, server platform and remote wireless gateway carry out intercommunication through NB-IoT, off-line is reported an emergency and asked for help or increased vigilance, after the equipment off-line, the platform produces and reports an emergency and asks maintainer to look over the processing.
Preferably, the internet wireless gateway communicates with the server through NB-IoT and communicates with the dust monitoring terminal through LoRa, one internet wireless gateway can wirelessly network with 50 internet of things dust monitoring terminals and bidirectionally communicate with the internet of things platform, networking with as many as 50 internet of things dust monitoring terminals on site in a wireless mode, and simultaneously forwarding data of monitoring points, receiving data of each dust monitoring point and forwarding the data to the internet of things platform within 1 second.
Preferably, thing networking dust monitoring terminal passes through loRa with wireless gateway and connects the network deployment, installs the dust sensor, detect the on-the-spot dust according to the instruction, can monitor the concentration of dust under the control of instruction to the environment at place, send the dust concentration data of monitoring for wireless gateway, each monitoring point distinguishes with code and equipment mode, monitoring point and wireless gateway communication adopt the affirmation mechanism, so as to avoid disturbing and can not let the data correctly receive, equipment causes the program operation to make mistakes because of disturbing or unpredictable reason, but automatic restart and self-checking, data are not lost.
The invention has the technical effects and advantages that:
the invention utilizes a setting mode of matching a data acquisition module and an intelligent host to realize the measurement and statistics of dust concentrations in various different particle size ranges in the air, an industrial fine dust monitoring system based on an imaging method realizes the real-time monitoring of fine particle information and particle sizes thereof, a metal polishing dust three-dimensional space distribution field is formed based on multi-point continuous monitoring, a distributed measurement and control network is established based on a cloud computing technology, the integral fusion application of industrial internet and safety production is embodied, and the information technology is perfectly applied to the safety production industry.
Drawings
Fig. 1 is an internal architecture of a dust concentration monitoring submodule in a hardware device according to the present invention.
FIG. 2 is a block diagram of the system of the present invention.
FIG. 3 is a block diagram of a data acquisition module according to the present invention.
Fig. 4 is a block diagram of a data transmission module according to the present invention.
FIG. 5 is a block diagram of an intelligent host according to the present invention.
Fig. 6 is a block diagram of a data terminal according to the present invention.
FIG. 7 is a hardware operating topology of the present invention.
In the figure: 1. a data acquisition module; 101. a temperature monitoring submodule; 102. a humidity monitoring submodule; 103. A dust concentration monitoring submodule; 2. a data transmission module; 201. a data terminal; 3. an intelligent host; 301. a data receiving submodule; 302. a data storage submodule; 303. a data prediction sub-module; 4. An alarm module; 5. and a regulation module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides an automatic combustible dust identification, judgment and alarm system shown in figures 1-7, which comprises a data acquisition module 1, a data transmission module 2, an intelligent host 3, a regulation and control module 5 and an alarm module 4, and is characterized in that the data acquisition module 1 is used for carrying out uninterrupted data acquisition, tracking and statistical analysis on various kinds of dust and concentration on site, the data transmission module 2 is used for transmitting data, the intelligent host 3 is used for analyzing and early warning the data, the regulation and control module 5 is used for regulating and controlling the dust on site, and the alarm module 4 is used for giving an alarm by sound;
the data acquisition module 1 comprises a dust concentration monitoring submodule 103, air sampling is carried out by inhaling air in a certain proportion in the dust concentration monitoring submodule 103, when particles in sampled gas pass through light beams converged by a light source and the like, a light scattering phenomenon is generated, scattered light is converted into electric signals through a photoelectric converter, the pulse signals are larger when the particles are larger, the number concentration of each particle diameter can be obtained through the wave peak value and the pulse number at the moment, namely real-time test data is obtained by testing the quantity and the intensity of the scattered light, the data acquisition module 1 further comprises a temperature monitoring submodule 101 and a humidity monitoring submodule 102, the temperature monitoring submodule 101 is used for detecting the temperature of the environment, the humidity monitoring submodule 102 is used for monitoring the humidity of the environment, the temperature monitoring submodule 101 realizes multi-point temperature measurement through a DS18B20 temperature measurement module, and aims at the problem of low efficiency of a serial number traditional binary tree search algorithm in a single-bus DS18B20 temperature measurement cable, based on the identification of the same family code and the same digit in different DS18B20 serial numbers of a single temperature measuring cable, an optimized binary tree search algorithm is designed, the algorithm can guarantee the search accuracy, meanwhile, the search efficiency is improved, the data transmission module 2 is used for data transmission between the data terminal 201 and the intelligent host 3, the data transmission module 2 is combined with the advantages of the LoRa wireless transmission technology, a low-power-consumption remote data transmission scheme based on a star network structure is designed, a sleep mechanism is realized based on channel activity detection, and a low-power-consumption wake-up mode is combined by the two modes, so that the multi-process high-efficiency work is realized by sequentially uploading data according to the module number and adopting a Contiki embedded system.
The intelligent host 3 comprises a data receiving submodule 301, a data storage submodule 302 and a data prediction submodule 303, the intelligent host 3 builds and designs a prediction model based on a local weighted linear regression algorithm based on a platform of embedded ARM + Linux, different weights are distributed to data near a prediction point by combining historical correlation with sensor data at the next moment, the prediction model based on the local weighted linear regression algorithm is designed, through comparison between the model and the prediction model based on the linear regression algorithm, through testing and analysis of a LoRa terminal and system functions, through testing and analysis of the LoRa terminal and system functions, multiple groups of test results show that the dust field monitoring system designed by the system has long transmission distance and low system power consumption, and has an intelligent early warning function.
The data terminal comprises an Internet of things platform, Internet wireless gateways and Internet of things dust monitoring terminals, the Internet of things platform and the remote wireless gateways are in bidirectional communication in an NB-IoT mode, one platform can manage up to 65536 wireless gateways, instructions can be conveniently given to the wireless gateways through a display to control the dust monitoring points, the dust concentration and related additional information of the monitoring points can be displayed on a PC display, when the dust concentration reaches a specified upper limit, a sound alarm is given, the server platform and the remote wireless gateways are in bidirectional communication through the NB-IoT, an offline alarm and processing mode is given, after the equipment is offline, the platform gives an alarm to remind maintenance personnel to check and process, the Internet of things wireless gateways are in communication with the server through the NB-IoT and are in communication with the dust monitoring terminals through the terminals LoRa, one Internet of wireless gateways can be in wireless networking with 50 dust monitoring terminals, the system is in two-way communication with an Internet of things platform, networking with 50 Internet of things dust monitoring terminals on site in a wireless mode, simultaneously forwarding data of monitoring points, receiving data of each dust monitoring point, forwarding the data to the Internet of things platform within 1 second, automatically restarting and self-checking equipment which has program operation errors caused by interference or unpredictable reasons, not losing the data, having an automatic restart time of less than 10 seconds, connecting the Internet of things dust monitoring terminals and a wireless gateway through LoRa for networking, installing a dust sensor, detecting site dust according to instructions, monitoring dust concentration under the control of the instructions for the environment, sending the monitored dust concentration data to the wireless gateway, distinguishing the monitoring points in a coding and equipment mode, adopting a confirmation mechanism for communication between the monitoring points and the wireless gateway to avoid interference and ensure that the data can not be correctly received, the equipment can automatically restart and self-check the program operation error caused by interference or unpredictable reasons, and data is not lost.
Connecting various wireless sensing equipment access terminals with a wireless gateway in an internet LoRa wireless mode to construct a local low-speed wireless sensing network;
the gateway is connected to the industrial internet server platform through NB _ IoT and forms bidirectional low-speed communication with the platform. The platform can give an early warning, can be set and displays detailed information of the early warning and the like
The working principle of the invention is as follows:
the invention carries out uninterrupted data acquisition, tracking and statistical analysis on various kinds of dust and concentration on site through a data acquisition module 1 by a light scattering technology of a dust concentration monitoring submodule 103, then acquires the temperature and the humidity on site through a temperature monitoring submodule 101 and a humidity monitoring submodule 102, simultaneously integrates a temperature and humidity monitoring cooperation algorithm to discover and prevent dust explosion in time, carries out big data analysis through a cloud platform, transmits data to an intelligent host 3 through a data transmission module 2, then the intelligent host 3 responds to send early warning information to safety management personnel in time, an alarm module 4 makes a sound, automatically positions equipment and carries out early warning in advance to inform related personnel to process so as to eliminate potential dust explosion risks in advance, and simultaneously controls a fan to rotate through a regulation module 5 to realize the regulation and control on the concentration, the temperature and the humidity of the dust on site, and then fed back to the data acquisition module 1.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "disposed," "mounted," "connected," and "secured" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integral to; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. An automatic combustible dust identification and judgment system comprises a data acquisition module (1), a data transmission module (2), an intelligent host (3), a regulation and control module (5) and an alarm module (4), and is characterized in that the data acquisition module (1) is used for carrying out uninterrupted data acquisition, tracking and statistical analysis on various kinds of dust and concentration on site, the data transmission module (2) is used for transmitting data, the intelligent host (3) is used for analyzing and prewarning the data, the regulation and control module (5) is used for regulating and controlling the dust on site, and the alarm module (4) is used for giving out sound to alarm;
the data acquisition module (1) comprises a dust concentration monitoring submodule (103), air sampling is carried out by sucking air in the dust concentration monitoring submodule (103) according to a certain proportion, when particles in sampled gas are subjected to light beams collected by a light source and the like, a light scattering phenomenon is generated, scattered light is converted into electric signals through a photoelectric converter, the larger the particles are, the larger the pulse signals are, the number concentration of each particle size can be obtained through the wave peak value and the pulse number at the moment, and namely, real-time test data can be obtained by testing the number and the intensity of the scattered light.
2. The automatic combustible dust identification, judgment and alarm system according to claim 1, wherein the data acquisition module (1) further comprises a temperature monitoring submodule (101) and a humidity monitoring submodule (102), the temperature monitoring submodule (101) is used for detecting the temperature of the environment, the humidity monitoring submodule (102) is used for monitoring the humidity of the environment, the temperature monitoring submodule (101) realizes multi-point temperature measurement through a DS18B20 temperature measurement module, and an optimized binary tree search algorithm is designed based on the identification of the same family code and the same number of bits in different DS18B20 serial numbers of a single temperature measurement cable aiming at the problem of low efficiency of a traditional binary tree search algorithm of serial numbers in a single-bus DS18B20 temperature measurement cable.
3. The automatic combustible dust identification, judgment and alarm system according to claim 1, wherein the data transmission module (2) is used for data transmission between a data terminal (201) and an intelligent host (3), the data transmission module (2) combines the advantages of a LoRa wireless transmission technology to design a low-power consumption remote data transmission scheme based on a star network structure, a sleep mechanism is realized based on channel activity detection, and a low-power consumption wake-up mode combining the two modes is used for orderly uploading data according to a module number and realizing multi-process high-efficiency work by adopting a Contiki embedded system.
4. The automatic combustible dust identification, judgment and alarm system according to claim 1, wherein the intelligent host (3) comprises a data receiving submodule (301), a data storage submodule (302) and a data prediction submodule (303), the intelligent host (3) is based on the construction of an embedded ARM + Linux platform and designs a prediction model based on a local weighted linear regression algorithm, different weights are distributed to data near a prediction point by combining historical correlation with sensor data at the next moment, a prediction model based on the local weighted linear regression algorithm is designed, and the model is compared with the prediction model based on the linear regression algorithm to test and analyze functions of a LoRa terminal and a system.
5. The combustible dust automatic identification, judgment and alarm system of claim 1, wherein the data terminal comprises an internet of things platform, an internet wireless gateway and an internet of things dust monitoring terminal.
6. The automatic combustible dust identification, judgment and alarm system of claim 5, wherein the platform of the internet of things and the remote wireless gateways perform bidirectional communication in the NB-IoT manner, one platform can manage up to 65536 wireless gateways, instructions can be conveniently issued to each wireless gateway through a display to control each dust monitoring point, the concentration of dust at the monitoring point and related additional information can be displayed on a PC display, when the dust concentration reaches a specified upper limit, a sound alarm is given, the server platform and the remote wireless gateways perform bidirectional communication through the NB-IoT, the offline alarm and processing manner is performed, and after the device is offline, the platform generates an alarm to remind maintenance personnel to check and process.
7. The combustible dust automatic identification, judgment and alarm system according to claim 5, wherein the internet wireless gateway communicates with the server through NB-IoT, communicates with the dust monitoring through terminal LoRa, one internet wireless gateway can wirelessly network with 50 Internet of things dust monitoring terminals and bidirectionally communicate with the Internet of things platform, wirelessly network with up to 50 Internet of things dust monitoring terminals on site, and simultaneously forwards data of monitoring points, receives data of each dust monitoring point and forwards the data to the Internet of things platform within 1 second, so that the device can automatically restart and self-check due to program operation errors caused by interference or unpredictable reasons, data is not lost, and the automatic restart time is less than 10 seconds.
8. The combustible dust automatic identification, judgment and alarm system according to claim 5, wherein the internet of things dust monitoring terminal and the wireless gateway are connected through a LoRa network, a dust sensor is installed, on-site dust is detected according to an instruction, the concentration of dust in the environment can be monitored under the control of the instruction, the monitored dust concentration data are sent to the wireless gateway, each monitoring point is distinguished in a coding and equipment mode, a confirmation mechanism is adopted for communication between the monitoring points and the wireless gateway, so that interference is avoided, data cannot be correctly received, program operation errors of equipment due to interference or unpredictable reasons can be avoided, automatic restart and self-check can be realized, and data cannot be lost.
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Application publication date: 20211112 |