CN118091054A - Dangerous gas on-line monitoring system and method - Google Patents
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Abstract
The invention discloses a dangerous gas on-line monitoring system and method, and belongs to the technical field of gas monitoring. In order to solve the problems that the lack of an effective early warning and response mechanism and the incapability of providing effective evacuation guidance in emergency result in personnel evacuation confusion and panic, a real-time monitoring module compares the concentration of dangerous gas with a preset safety threshold value, once the dangerous gas is found to leak, dangerous marks can be immediately carried out, an alarm is triggered through the dangerous early warning module, the timely early warning and response mechanism is helpful for reducing the possibility of accidents, the evacuation guidance module can simulate the layout of a monitoring area, forecast the trend and range of dangerous gas diffusion, plan a safe evacuation route based on the forecast result, provide scientific basis for personnel evacuation in emergency, help reduce personnel casualties, and the system can adjust and update the evacuation route in real time by continuously receiving data in a gas diffusion forecast unit so as to adapt to the continuously-changed dangerous situation.
Description
Technical Field
The invention relates to the technical field of gas monitoring, in particular to an on-line dangerous gas monitoring system and method.
Background
Some industries such as chemical plants, coal mines, dangerous gas transportation and the like which are contacted with dangerous gas can cause fatal injury to workers once dangerous gas leakage or concentration exceeds standard if the dangerous gas cannot be monitored on line in real time. The dangerous gas inevitably generated not only endangers the lives of the staff in the field, but also is inflammable and explosive, thereby causing serious safety accidents. Therefore, research on-line monitoring systems for hazardous gases has gained general attention in countries around the world.
The following problems exist in the actual operation of the prior art:
The traditional gas monitoring system cannot realize real-time monitoring of dangerous gas, lacks an effective early warning and response mechanism, cannot timely discover and treat dangerous gas leakage, and cannot provide effective evacuation guidance under emergency conditions, so that personnel are disturbed in evacuation and panic are caused.
Disclosure of Invention
The invention aims to provide a dangerous gas on-line monitoring system and a dangerous gas on-line monitoring method, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an on-line hazardous gas monitoring system comprising:
A front end node for:
Collecting a gas sample of a detection point, carrying out gas analysis on the gas sample, obtaining gas information, interacting with a real-time monitoring module through wireless network connection, and sending the collected gas information and the position information of a collection place to the real-time monitoring module;
the real-time monitoring module is used for:
continuously receiving gas information and position information sent by data of a front-end node through a wireless network, processing and analyzing the received gas information, identifying abnormal data, comparing the concentration of dangerous gas with a preset safety threshold value, judging whether dangerous gas leaks or not based on a comparison result, and performing dangerous marking on a region where the dangerous gas leaks;
the danger early warning module is used for:
Triggering an alarm according to the monitoring result of the real-time monitoring module, notifying staff in an acousto-optic, short message and mail mode, and carrying out voice evacuation guiding based on the evacuation route generated in the evacuation guiding module;
an evacuation guidance module for:
Simulating the layout of a monitoring area, predicting the trend and the range of dangerous gas diffusion based on the detection data of the real-time monitoring module, and planning a safe evacuation route based on the prediction result of the gas diffusion.
Further, the front-end node comprises a gas acquisition module, a gas analysis module, a position acquisition module and a wireless communication module;
The gas collection module is a gas sensor and is used for collecting a gas sample from a detection point;
The gas analysis module is used for analyzing the collected gas sample and extracting gas information, wherein the gas information comprises gas types and gas concentrations;
the position acquisition module is a Wi-Fi positioner and is used for acquiring the position information of the area where the front-end node is located;
the wireless communication module is used for carrying out wireless communication with the real-time monitoring module, and gas information and position information are transmitted based on a wireless network.
Further, the real-time monitoring module includes:
A data processing unit for:
The method comprises the steps of receiving gas information and position information sent by a front-end node through a wireless network, analyzing the received gas information and position information data to extract gas types, gas concentrations and position information, performing data cleaning and preprocessing on the extracted data, processing the processed target data, and writing the target data into a database;
the data monitoring unit is used for:
Reading the latest target data from the database in real time, creating space units based on the position information, and matching the gas information with the corresponding space units based on the position information of the acquired area;
analyzing the gas information in each space unit, and generating a gas concentration change trend curve based on the gas type by using the gas concentration as data;
setting corresponding gas concentration dangerous thresholds based on different gas types, wherein the gas concentration dangerous thresholds are provided with a first dangerous threshold, a second dangerous threshold and a third dangerous threshold, monitoring and comparing a gas concentration change trend curve based on the gas concentration dangerous thresholds, and judging target data as normal data, primary abnormal data, secondary abnormal data and tertiary abnormal data based on comparison results;
wherein, when the gas concentration is lower than the first hazard threshold, the normal data is considered;
When the gas concentration is greater than or equal to the first dangerous threshold value and less than the second dangerous threshold value, the first-level abnormal data are regarded as;
when the gas concentration is greater than or equal to the second dangerous threshold value and less than the third dangerous threshold value, the second-level abnormal data are regarded as;
when the gas concentration is greater than or equal to a third dangerous threshold value, the three-level abnormal data are regarded as;
and performing danger marking on the space unit where the abnormal data occurs based on the judging result of the target data.
Further, the real-time monitoring module further includes:
The gas concentration change trend curve extraction module is used for extracting the gas concentration change trend curve;
the gas concentration change rate acquisition module is used for acquiring the gas concentration change rate according to the gas concentration change trend curve;
the gas concentration change intensity value acquisition module is used for acquiring a gas concentration change intensity value corresponding to the gas concentration change rate according to the gas concentration change rate; wherein, the gas concentration variation intensity value is obtained by the following formula:
；
Wherein Q i represents the gas concentration variation intensity value of the i-th gas species; n represents the number of gas species for which the concentration needs to be collected; m represents the number of gas concentration acquisitions; v ij denotes the rate of change of the gas concentration of the jth acquisition of the ith gas species; w i represents a weight coefficient corresponding to the i-th gas species; v pi represents the average rate of change in the gas concentration corresponding to the i-th gas species; v i represents the average rate of change of the gas concentration corresponding to the i-th gas species among the n-th gas species in the number of gas collection times where the maximum value of the gas concentration change rate of the i-th gas species corresponds when the maximum value of the gas concentration change rate of the i-th gas species;
And the dangerous threshold adjusting module is used for adjusting a first dangerous threshold, a second dangerous threshold and a third dangerous threshold corresponding to the gas type corresponding to the gas concentration change intensity value exceeding the preset intensity threshold when the gas concentration change intensity value exceeds the preset intensity threshold.
Further, the dangerous threshold adjustment module includes:
The first data information acquisition module is used for extracting a difference value between the gas concentration change intensity value and the preset intensity threshold value to be used as first data information;
the second data information acquisition module is used for extracting the rate numerical value information of the gas concentration change rate corresponding to each unit time as second data information;
the first risk threshold adjustment module is configured to adjust the first risk threshold according to the first data information and the second data information, and obtain an adjusted first risk threshold, where the adjusted first risk threshold is obtained by the following formula:
；
Wherein Y 01 represents a first hazard threshold; y 01c represents an initial first risk threshold; k represents the number of unit time, and the value range of the unit time is 1h-3h; s pi represents a rate value of the gas concentration change rate corresponding to the ith unit time; q 0i represents an intensity threshold corresponding to the i-th gas species;
the second risk threshold adjustment module is configured to adjust the second risk threshold according to the second data information, and obtain an adjusted second risk threshold, where the adjusted second risk threshold is obtained by the following formula:
；
Wherein Y 02 represents a second hazard threshold; y 02c represents an initial second hazard threshold;
The third risk threshold adjustment module is configured to adjust the third risk threshold according to the adjusted first risk threshold and the adjusted second risk threshold, and obtain an adjusted third risk threshold, where the adjusted third risk threshold is obtained by the following formula:
；
；
Wherein Y 03 represents a third hazard threshold; y 03c represents an initial third hazard threshold; y represents a threshold adjustment coefficient; s max and s min represent a rate maximum value and a rate minimum value, respectively, of the rate of change of the gas concentration.
Further, the danger early warning module includes:
A hazard warning unit for:
Receiving a danger mark from a real-time monitoring module in real time, sending an alarm to a region where dangerous gas leakage occurs through sound and light equipment based on the danger mark, simultaneously acquiring an evacuation route from an evacuation guiding module in real time, and informing workers in real time to carry out accident handling and safe evacuation through a preset contact way of a system and based on a short message and voice way;
Generating guiding voice based on the evacuation route generated in the evacuation guiding module, and guiding voice evacuation in the area through external speaker equipment.
Further, the evacuation guidance module includes:
a monitoring area simulation unit for:
building structure blueprint data of a monitoring area are obtained, wherein the building structure blueprint data comprise a plan view, an elevation view and floor distribution information, and a digital model is built according to the obtained building structure blueprint data through BIM;
Identifying, in a digital model, each node of the building structure, the node including a room, a door, a window, a corridor, a stairway, and an escape route, matching a spatial unit with each node based on the location information;
And associating connectivity and reachability among the nodes, and setting parameters of temperature, humidity and wind speed of the nodes in the simulation environment based on the actual condition of the building.
Further, the evacuation guidance module further includes:
A gas diffusion prediction unit for:
The method comprises the steps of obtaining a gas concentration change trend curve of various gases in each space unit in a real-time monitoring module, obtaining gas data of dangerous gases in each space unit, wherein the gas data comprise gas concentration and concentration increasing and decreasing rate, bringing the gas data of the dangerous gases in each space unit into a digital model, predicting the diffusion trend and range of the gases based on the digital model and updating of the real-time monitoring data, and dynamically adjusting the diffusion model to obtain a gas diffusion path.
Further, the evacuation guidance module further includes:
A safety route planning unit for:
Based on the gas diffusion paths obtained by the gas diffusion prediction unit, screening each node in the digital model, removing the nodes involved in the gas diffusion paths to obtain safety nodes, acquiring connectivity among the safety nodes, and generating a safety evacuation route based on the safety nodes;
The safe evacuation route is sent to a danger early warning module;
Continuously receiving data in the gas diffusion prediction unit, and adjusting and updating the evacuation route in real time.
The invention provides a method for on-line monitoring of dangerous gas, which comprises the following steps:
Step one: the front-end node collects a gas sample from a detection point through a gas sensor, analyzes the collected gas sample, extracts gas types and gas concentrations, acquires position information of an area where the front-end node is located by using a Wi-Fi positioner, performs wireless communication with a real-time monitoring module, and transmits the gas information and the position information based on a wireless network;
Step two: the real-time monitoring module receives the gas information and the position information, performs data analysis, cleaning and preprocessing, then writes target data into a database, reads the latest target data from the database, performs gas information analysis, generates a gas concentration change trend curve, performs monitoring comparison according to a preset dangerous threshold value, judges whether the data is normal or abnormal, and performs dangerous marking on the abnormal data;
Step three: the evacuation guidance module acquires blueprint data of a building structure of a monitoring area, establishes a digital model, sets parameters of each node in a simulation environment, acquires a gas concentration change trend curve and dangerous gas data of each space unit in real-time monitoring data, predicts the diffusion trend and range of gas, dynamically adjusts the diffusion model, and plans a safe evacuation route based on a gas diffusion prediction result;
Step four: the danger early warning module receives the danger mark, gives an alarm through the acousto-optic equipment, informs workers of accident handling and safe evacuation through modes such as short messages, voices and the like, and simultaneously carries out voice evacuation guiding based on the evacuation route generated by the evacuation guiding module.
Compared with the prior art, the invention has the beneficial effects that:
1. The data monitoring unit reads the latest target data from the database in real time, creates space units according to the position information, and can accurately know the gas condition of each region by matching the gas information with the corresponding space units.
2. According to the monitoring area simulation unit, the building structure blueprint data are obtained, a digital model is built by utilizing a BIM technology, the building structure of a monitoring area can be accurately simulated, the space units are matched with the nodes, connectivity and accessibility among the nodes are related, the system can more accurately simulate the diffusion condition of gas in the monitoring area, the gas diffusion prediction unit can predict the diffusion trend and range of the gas by obtaining the gas concentration change trend curve and the gas data of dangerous gas in the real-time monitoring module, and the system can more accurately predict the gas diffusion path by dynamically adjusting the diffusion model, so that a reliable basis is provided for the subsequent evacuation route planning.
3. The safety route planning unit provided by the invention can intelligently generate the safety evacuation routes by screening the safety nodes in the digital model and acquiring the connectivity between the safety nodes based on the gas diffusion prediction result, and the routes not only avoid dangerous areas in the gas diffusion route, but also ensure that evacuation personnel can be evacuated quickly and safely. In addition, by continuously receiving the data in the gas diffusion prediction unit, the system is able to adjust and update the evacuation route in real time to accommodate changing hazard conditions.
Drawings
FIG. 1 is a schematic diagram of the module principle of the on-line dangerous gas monitoring system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the technical problems that the conventional gas monitoring system cannot realize real-time monitoring of dangerous gas, lacks an effective early warning and response mechanism, cannot timely find and handle dangerous gas leakage, cannot provide effective evacuation guidance in emergency, and causes personnel evacuation confusion and panic, referring to fig. 1, the invention provides the following technical scheme:
An on-line hazardous gas monitoring system comprising:
A front end node for:
Collecting a gas sample of a detection point, carrying out gas analysis on the gas sample, obtaining gas information, interacting with a real-time monitoring module through wireless network connection, and sending the collected gas information and the position information of a collection place to the real-time monitoring module;
the real-time monitoring module is used for:
continuously receiving gas information and position information sent by data of a front-end node through a wireless network, processing and analyzing the received gas information, identifying abnormal data, comparing the concentration of dangerous gas with a preset safety threshold value, judging whether dangerous gas leaks or not based on a comparison result, and performing dangerous marking on a region where the dangerous gas leaks;
the danger early warning module is used for:
Triggering an alarm according to the monitoring result of the real-time monitoring module, notifying staff in an acousto-optic, short message and mail mode, and carrying out voice evacuation guiding based on the evacuation route generated in the evacuation guiding module;
an evacuation guidance module for:
Simulating the layout of a monitoring area, predicting the trend and the range of dangerous gas diffusion based on the detection data of the real-time monitoring module, and planning a safe evacuation route based on the prediction result of the gas diffusion.
Specifically, the system collects and analyzes the gas sample in real time through the front end node, real-time monitoring of dangerous gas is guaranteed, meanwhile, abnormal data can be accurately identified through processing and analysis of gas information, monitoring accuracy is improved, the dangerous gas concentration is compared with a preset safety threshold value through the real-time monitoring module, once dangerous gas leakage is found, dangerous marking can be immediately carried out, an alarm is triggered through the dangerous early warning module, and the possibility of accident occurrence is reduced through timely early warning and response mechanisms, so that personnel safety is guaranteed. The danger early warning module informs the staff in various modes such as sound and light, short messages, mails and the like, ensures that the staff can learn dangerous situations at the first time and takes corresponding measures. The evacuation guidance module can simulate the layout of a monitoring area, forecast the trend and range of dangerous gas diffusion, plan a safe evacuation route based on a forecast result, provide scientific basis for evacuation of personnel in emergency, and is helpful for reducing casualties.
The front-end node comprises a gas acquisition module, a gas analysis module, a position acquisition module and a wireless communication module;
The gas collection module is a gas sensor and is used for collecting a gas sample from a detection point;
The gas analysis module is used for analyzing the collected gas sample and extracting gas information, wherein the gas information comprises gas types and gas concentrations;
The position acquisition module is a Wi-Fi positioner and is used for acquiring the position information of the area where the front-end node is located;
The wireless communication module is used for carrying out wireless communication with the real-time monitoring module, and gas information and position information are transmitted based on a wireless network.
Specifically, the front-end node integrates a plurality of functional modules such as gas acquisition, analysis, position acquisition and wireless communication, and the design of the high integration makes the system more compact and efficient, and reduces the complexity and maintenance cost of equipment. The gas collection module adopts a gas sensor, can accurately collect a gas sample from a detection point, and provides a reliable data base for subsequent gas analysis. The gas analysis module extracts key information such as gas types and concentrations by analyzing the collected gas samples, and provides important basis for real-time monitoring and early warning of the system. The position acquisition module adopts a Wi-Fi positioner, can accurately acquire the position information of the area where the front end node is located, and is beneficial to accurately identifying the specific position of dangerous gas leakage by the real-time monitoring module, so that targeted early warning and treatment are carried out. The wireless communication module enables the front-end node to communicate with the real-time monitoring module in real time, ensures timely transmission of gas information and position information, is beneficial to the system to respond to dangerous situations quickly, and reduces the possibility of accidents.
A real-time monitoring module, comprising:
A data processing unit for:
And receiving the gas information and the position information sent by the front-end node through a wireless network, analyzing the received gas information and position information data to extract gas types, gas concentrations and position information, performing data cleaning and preprocessing on the extracted data, processing the processed target data, and writing the target data into a database.
The data monitoring unit is used for:
Reading the latest target data from the database in real time, creating space units based on the position information, and matching the gas information with the corresponding space units based on the position information of the acquired area;
analyzing the gas information in each space unit, and generating a gas concentration change trend curve based on the gas type by using the gas concentration as data;
setting corresponding gas concentration dangerous thresholds based on different gas types, wherein the gas concentration dangerous thresholds are provided with a first dangerous threshold, a second dangerous threshold and a third dangerous threshold, monitoring and comparing a gas concentration change trend curve based on the gas concentration dangerous thresholds, and judging target data as normal data, primary abnormal data, secondary abnormal data and tertiary abnormal data based on comparison results;
wherein, when the gas concentration is lower than the first hazard threshold, the normal data is considered;
When the gas concentration is greater than or equal to the first dangerous threshold value and less than the second dangerous threshold value, the first-level abnormal data are regarded as;
when the gas concentration is greater than or equal to the second dangerous threshold value and less than the third dangerous threshold value, the second-level abnormal data are regarded as;
when the gas concentration is greater than or equal to a third dangerous threshold value, the three-level abnormal data are regarded as;
and performing danger marking on the space unit where the abnormal data occurs based on the judging result of the target data.
Specifically, the data processing unit receives the gas information and the position information sent by the front end node in real time through the wireless network, analyzes, cleans and preprocesses the data, ensures the accuracy and consistency of the data, improves the quality of the data, writes the processed target data into the database, and provides a reliable data base for subsequent monitoring and analysis.
In the above embodiment, the data monitoring unit reads the latest target data from the database in real time, creates space units according to the position information, and by matching the gas information with the corresponding space units, the system can accurately understand the gas condition of each region.
In the above embodiment, according to different gas types, the system sets the corresponding gas concentration risk threshold, including the first risk threshold, the second risk threshold and the third risk threshold, so that the system can perform grading response according to different risk degrees by using the multi-level risk early warning mechanism, thereby improving the accuracy and effectiveness of early warning. When the gas concentration exceeds a set dangerous threshold, the system can perform dangerous marking on the space unit with abnormal data, so that monitoring personnel can quickly locate a dangerous area and take corresponding countermeasures, and the probability of accidents is reduced.
Specifically, the real-time monitoring module further includes:
The gas concentration change trend curve extraction module is used for extracting the gas concentration change trend curve;
the gas concentration change rate acquisition module is used for acquiring the gas concentration change rate according to the gas concentration change trend curve;
the gas concentration change intensity value acquisition module is used for acquiring a gas concentration change intensity value corresponding to the gas concentration change rate according to the gas concentration change rate; wherein, the gas concentration variation intensity value is obtained by the following formula:
；
Wherein Q i represents the gas concentration variation intensity value of the i-th gas species; n represents the number of gas species for which the concentration needs to be collected; m represents the number of gas concentration acquisitions; v ij denotes the rate of change of the gas concentration of the jth acquisition of the ith gas species; w i represents a weight coefficient corresponding to the i-th gas species; v pi represents the average rate of change in the gas concentration corresponding to the i-th gas species; v i represents the average rate of change of the gas concentration corresponding to the i-th gas species among the n-th gas species in the number of gas collection times where the maximum value of the gas concentration change rate of the i-th gas species corresponds when the maximum value of the gas concentration change rate of the i-th gas species;
And the dangerous threshold adjusting module is used for adjusting a first dangerous threshold, a second dangerous threshold and a third dangerous threshold corresponding to the gas type corresponding to the gas concentration change intensity value exceeding the preset intensity threshold when the gas concentration change intensity value exceeds the preset intensity threshold.
The technical effects of the technical scheme are as follows: the gas concentration change trend curve extraction module can extract the change trend of the gas concentration in real time, and helps operators to know the dynamic change of the gas concentration in time. The gas concentration change rate acquisition module reflects the increasing and decreasing speed and direction of the gas concentration by calculating the change rate of the gas concentration, and provides important data for predicting possible risks. The gas concentration change intensity value acquisition module calculates the concentration change intensity value of each gas through a specific formula, and the value comprehensively considers the change rate of the gas concentration, the weight of the gas type and the average change rate of the gas concentration, thereby providing a quantified index for risk assessment.
The hazard threshold adjustment module is capable of dynamically adjusting the hazard threshold (including the first hazard threshold, the second hazard threshold, and the third hazard threshold) of the corresponding gas species according to the gas concentration variation intensity value. The dynamic adjustment enables the system to be capable of coping with different gas concentration change conditions more flexibly, and improves the sensitivity and accuracy of the early warning system. Through the change trend and the intensity of the real-time monitoring gas concentration, the system can perform early warning before the occurrence of potential danger, thereby allowing operators to take measures in time, preventing accidents or reducing the consequences of the accidents. The provided data and analysis results can help a decision maker to make accurate judgment more quickly, reduce human errors and improve the efficiency of handling emergency events.
In summary, by monitoring the change trend and the strength of the gas concentration in real time, the technical scheme realizes timely discovery and early warning of potential danger, improves the efficiency and accuracy of safety management, and is beneficial to preventing and controlling possible gas leakage or concentration abnormal events in an industrial environment.
Specifically, the dangerous threshold adjustment module includes:
The first data information acquisition module is used for extracting a difference value between the gas concentration change intensity value and the preset intensity threshold value to be used as first data information;
the second data information acquisition module is used for extracting the rate numerical value information of the gas concentration change rate corresponding to each unit time as second data information;
the first risk threshold adjustment module is configured to adjust the first risk threshold according to the first data information and the second data information, and obtain an adjusted first risk threshold, where the adjusted first risk threshold is obtained by the following formula:
；
Wherein Y 01 represents a first hazard threshold; y 01c represents an initial first risk threshold; k represents the number of unit time, and the value range of the unit time is 1h-3h; s pi represents a rate value of the gas concentration change rate corresponding to the ith unit time; q 0i represents an intensity threshold corresponding to the i-th gas species;
the second risk threshold adjustment module is configured to adjust the second risk threshold according to the second data information, and obtain an adjusted second risk threshold, where the adjusted second risk threshold is obtained by the following formula:
;
Wherein Y 02 represents a second hazard threshold; y 02c represents an initial second hazard threshold;
The third risk threshold adjustment module is configured to adjust the third risk threshold according to the adjusted first risk threshold and the adjusted second risk threshold, and obtain an adjusted third risk threshold, where the adjusted third risk threshold is obtained by the following formula:
;
;
Wherein Y 03 represents a third hazard threshold; y 03c represents an initial third hazard threshold; y represents a threshold adjustment coefficient; s max and s min represent a rate maximum value and a rate minimum value, respectively, of the rate of change of the gas concentration.
The technical effects of the technical scheme are as follows: by means of the first, second and third risk threshold adjustment modules, the system can dynamically adjust the risk threshold (first risk threshold, second risk threshold, third risk threshold) according to actual conditions. Such dynamic adjustment may ensure that the system maintains sensitivity and accuracy in the face of varying concentrations of different gases. In the adjustment process, the first data information (the difference between the gas concentration change intensity value and the preset intensity threshold value) and the second data information (the gas concentration change rate corresponding to each unit time) are comprehensively considered, so that the threshold value is adjusted more comprehensively and accurately. The dangerous threshold value is dynamically adjusted according to the real-time change of the gas concentration, and the early warning system can be triggered more quickly, so that operators are timely reminded before potential danger occurs, and timeliness of risk handling is improved. The system can adjust the threshold value according to the actual condition, so that the system can be better adapted to different working environments and gas concentration change conditions, and the flexibility and applicability of the system are improved. Dynamically adjusting the hazard threshold facilitates faster action when the system detects an abnormal situation, thereby enhancing workplace safety and reducing the likelihood of an accident. The risk threshold is adjusted through a specific mathematical formula, so that risk management is more quantized and scientific, subjectivity of artificial judgment is reduced, and accuracy and reliability of decision making are improved.
In summary, by dynamically adjusting the dangerous threshold, the technical scheme improves the sensitivity and accuracy of the gas concentration monitoring system, is beneficial to timely early warning and preventing potential gas leakage or concentration abnormality risks, and enhances the safety of industrial environments.
A hazard warning module comprising:
A hazard warning unit for:
Receiving a danger mark from a real-time monitoring module in real time, sending an alarm to a region where dangerous gas leakage occurs through sound and light equipment based on the danger mark, simultaneously acquiring an evacuation route from an evacuation guiding module in real time, and informing workers in real time to carry out accident handling and safe evacuation through a preset contact way of a system and based on a short message and voice way;
Generating guiding voice based on the evacuation route generated in the evacuation guiding module, and guiding voice evacuation in the area through external speaker equipment.
Specifically, the dangerous alarm unit can receive the dangerous mark sent by the real-time monitoring module in real time, and once dangerous gas leakage is detected, an alarm can be sent out immediately through the acousto-optic equipment, so that the system is ensured to react to dangerous situations in the first time, and workers are reminded of taking emergency measures.
In the embodiment, the danger alarm unit can also acquire an evacuation route from the evacuation guidance module, and inform workers in real time to carry out accident handling and safe evacuation in a mode of short messages, voice and the like, so that clear and effective guidance is provided for personnel evacuation, confusion and panic of the personnel in an emergency situation are reduced, and evacuation efficiency is improved.
In the embodiment, the danger alarm unit can generate the guiding voice according to the evacuation route generated by the evacuation guiding module, and conduct voice evacuation guiding in the area through the external speaker device, so that evacuation efficiency is improved, people can be helped to find a correct evacuation path in an environment with blocked or disordered sight, safe evacuation of the people is effectively guided, and loss and risk caused by accidents are reduced.
An evacuation guidance module comprising:
a monitoring area simulation unit for:
building structure blueprint data of a monitoring area are obtained, wherein the building structure blueprint data comprise a plan view, an elevation view and floor distribution information, and a digital model is built according to the obtained building structure blueprint data through BIM;
Identifying each node of the building structure in the digital model, wherein the nodes comprise rooms, doors, windows, corridors, stairs and escape channels, and matching space units with each node based on the position information;
And associating connectivity and reachability among the nodes, and setting parameters of temperature, humidity and wind speed of the nodes in the simulation environment based on the actual condition of the building.
A gas diffusion prediction unit for:
And acquiring a gas concentration change trend curve of various gases in each space unit in the real-time monitoring module, acquiring gas data of dangerous gases in each space unit, wherein the gas data comprise gas concentration and concentration increase and decrease rate, taking the gas data of the dangerous gases in each space unit into a digital model, predicting the diffusion trend and range of the gases based on the digital model and updating the real-time monitoring data, and dynamically adjusting the diffusion model to obtain a gas diffusion path.
A safety route planning unit for:
Based on the gas diffusion paths obtained by the gas diffusion prediction unit, screening each node in the digital model, removing the nodes involved in the gas diffusion paths to obtain safety nodes, acquiring connectivity among the safety nodes, and generating a safety evacuation route based on the safety nodes;
The safe evacuation route is sent to a danger early warning module;
Continuously receiving data in the gas diffusion prediction unit, and adjusting and updating the evacuation route in real time.
In the above embodiment, the monitoring area simulation unit can accurately simulate the building structure of the monitoring area by acquiring the blueprint data of the building structure and establishing the digital model by using the BIM technology, and the system can more accurately simulate the diffusion condition of the gas in the monitoring area by matching the space unit with each node and associating the connectivity and the accessibility between the nodes.
In the above embodiment, the gas diffusion prediction unit may predict the diffusion trend and range of the gas by acquiring the gas concentration variation trend curve and the gas data of the dangerous gas in the real-time monitoring module, and the system may predict the gas diffusion path more accurately by dynamically adjusting the diffusion model, so as to provide a reliable basis for the subsequent evacuation route planning.
In the above embodiment, the safety route planning unit, based on the gas diffusion prediction result, can intelligently generate the safety evacuation routes by screening the safety nodes in the digital model and acquiring the connectivity between them, and these routes not only avoid the dangerous areas in the gas diffusion path, but also ensure that evacuation personnel can be evacuated quickly and safely. In addition, by continuously receiving the data in the gas diffusion prediction unit, the system is able to adjust and update the evacuation route in real time to accommodate changing hazard conditions.
The embodiment now provides a method for monitoring dangerous gas on line, which comprises the following steps:
Step one: the front-end node collects a gas sample from a detection point through a gas sensor, analyzes the collected gas sample, extracts gas types and gas concentrations, acquires position information of an area where the front-end node is located by using a Wi-Fi positioner, performs wireless communication with a real-time monitoring module, and transmits the gas information and the position information based on a wireless network;
Step two: the real-time monitoring module receives the gas information and the position information, performs data analysis, cleaning and preprocessing, then writes target data into a database, reads the latest target data from the database, performs gas information analysis, generates a gas concentration change trend curve, performs monitoring comparison according to a preset dangerous threshold value, judges whether the data is normal or abnormal, and performs dangerous marking on the abnormal data;
Step three: the evacuation guidance module acquires blueprint data of a building structure of a monitoring area, establishes a digital model, sets parameters of each node in a simulation environment, acquires a gas concentration change trend curve and dangerous gas data of each space unit in real-time monitoring data, predicts the diffusion trend and range of gas, dynamically adjusts the diffusion model, and plans a safe evacuation route based on a gas diffusion prediction result;
Step four: the danger early warning module receives the danger mark, gives an alarm through the acousto-optic equipment, informs workers of accident handling and safe evacuation through modes such as short messages, voices and the like, and simultaneously carries out voice evacuation guiding based on the evacuation route generated by the evacuation guiding module.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art who is skilled in the art to which the present invention pertains should make equivalent substitutions or modifications according to the technical scheme and the inventive concept disclosed in the present invention within the scope of the present invention.
Claims (8)
1. An on-line hazardous gas monitoring system, comprising:
A front end node for:
Collecting a gas sample of a detection point, carrying out gas analysis on the gas sample, obtaining gas information, interacting with a real-time monitoring module through wireless network connection, and sending the collected gas information and the position information of a collection place to the real-time monitoring module;
the real-time monitoring module is used for:
continuously receiving gas information and position information sent by data of a front-end node through a wireless network, processing and analyzing the received gas information, identifying abnormal data, comparing the concentration of dangerous gas with a preset safety threshold value, judging whether dangerous gas leaks or not based on a comparison result, and performing dangerous marking on a region where the dangerous gas leaks;
the danger early warning module is used for:
Triggering an alarm according to the monitoring result of the real-time monitoring module, notifying staff in an acousto-optic, short message and mail mode, and carrying out voice evacuation guiding based on the evacuation route generated in the evacuation guiding module;
an evacuation guidance module for:
simulating the layout of a monitoring area, predicting the trend and the range of dangerous gas diffusion based on the detection data of the real-time monitoring module, and planning a safe evacuation route based on the prediction result of the gas diffusion;
Wherein, the real-time monitoring module includes:
A data processing unit for:
The method comprises the steps of receiving gas information and position information sent by a front-end node through a wireless network, analyzing the received gas information and position information data to extract gas types, gas concentrations and position information, performing data cleaning and preprocessing on the extracted data, processing the processed target data, and writing the target data into a database;
the data monitoring unit is used for:
Reading the latest target data from the database in real time, creating space units based on the position information, and matching the gas information with the corresponding space units based on the position information of the acquired area;
analyzing the gas information in each space unit, and generating a gas concentration change trend curve based on the gas type by using the gas concentration as data;
setting corresponding gas concentration dangerous thresholds based on different gas types, wherein the gas concentration dangerous thresholds are provided with a first dangerous threshold, a second dangerous threshold and a third dangerous threshold, monitoring and comparing a gas concentration change trend curve based on the gas concentration dangerous thresholds, and judging target data as normal data, primary abnormal data, secondary abnormal data and tertiary abnormal data based on comparison results;
wherein, when the gas concentration is lower than the first hazard threshold, the normal data is considered;
When the gas concentration is greater than or equal to the first dangerous threshold value and less than the second dangerous threshold value, the first-level abnormal data are regarded as;
when the gas concentration is greater than or equal to the second dangerous threshold value and less than the third dangerous threshold value, the second-level abnormal data are regarded as;
when the gas concentration is greater than or equal to a third dangerous threshold value, the three-level abnormal data are regarded as;
Performing danger marking on the space unit where the abnormal data appear based on the judging result of the target data;
The gas concentration change trend curve extraction module is used for:
Extracting the gas concentration change trend curve;
the gas concentration change rate acquisition module is used for:
Acquiring a gas concentration change rate according to the gas concentration change trend curve;
The gas concentration change intensity value acquisition module is used for:
Acquiring a gas concentration change intensity value corresponding to the gas concentration change rate according to the gas concentration change rate; wherein, the gas concentration variation intensity value is obtained by the following formula:
；
Wherein Q i represents the gas concentration variation intensity value of the i-th gas species; n represents the number of gas species for which the concentration needs to be collected; m represents the number of gas concentration acquisitions; v ij denotes the rate of change of the gas concentration of the jth acquisition of the ith gas species; w i represents a weight coefficient corresponding to the i-th gas species; v pi represents the average rate of change in the gas concentration corresponding to the i-th gas species; v i represents the average rate of change of the gas concentration corresponding to the i-th gas species among the n-th gas species in the number of gas collection times where the maximum value of the gas concentration change rate of the i-th gas species corresponds when the maximum value of the gas concentration change rate of the i-th gas species;
And the dangerous threshold adjusting module is used for adjusting a first dangerous threshold, a second dangerous threshold and a third dangerous threshold corresponding to the gas type corresponding to the gas concentration change intensity value exceeding the preset intensity threshold when the gas concentration change intensity value exceeds the preset intensity threshold.
2. The on-line hazardous gas monitoring system of claim 1, wherein: the front-end node comprises a gas acquisition module, a gas analysis module, a position acquisition module and a wireless communication module;
The gas collection module is a gas sensor and is used for collecting a gas sample from a detection point;
The gas analysis module is used for analyzing the collected gas sample and extracting gas information, wherein the gas information comprises gas types and gas concentrations;
the position acquisition module is a Wi-Fi positioner and is used for acquiring the position information of the area where the front-end node is located;
the wireless communication module is used for carrying out wireless communication with the real-time monitoring module, and gas information and position information are transmitted based on a wireless network.
3. The on-line hazardous gas monitoring system of claim 1, wherein: a hazard threshold adjustment module comprising:
The first data information acquisition module is used for extracting a difference value between the gas concentration change intensity value and the preset intensity threshold value to be used as first data information;
the second data information acquisition module is used for extracting the rate numerical value information of the gas concentration change rate corresponding to each unit time as second data information;
the first risk threshold adjustment module is configured to adjust the first risk threshold according to the first data information and the second data information, and obtain an adjusted first risk threshold, where the adjusted first risk threshold is obtained by the following formula:
；
Wherein Y 01 represents a first hazard threshold; y 01c represents an initial first risk threshold; k represents the number of unit time, and the value range of the unit time is 1h-3h; s pi represents a rate value of the gas concentration change rate corresponding to the ith unit time; q 0i represents an intensity threshold corresponding to the i-th gas species;
the second risk threshold adjustment module is configured to adjust the second risk threshold according to the second data information, and obtain an adjusted second risk threshold, where the adjusted second risk threshold is obtained by the following formula:
；
Wherein Y 02 represents a second hazard threshold; y 02c represents an initial second hazard threshold;
The third risk threshold adjustment module is configured to adjust the third risk threshold according to the adjusted first risk threshold and the adjusted second risk threshold, and obtain an adjusted third risk threshold, where the adjusted third risk threshold is obtained by the following formula:
；
；
Wherein Y 03 represents a third hazard threshold; y 03c represents an initial third hazard threshold; y represents a threshold adjustment coefficient; s max and s min represent a rate maximum value and a rate minimum value, respectively, of the rate of change of the gas concentration.
4. The on-line hazardous gas monitoring system of claim 1, wherein: the danger early warning module comprises:
A hazard warning unit for:
Receiving a danger mark from a real-time monitoring module in real time, sending an alarm to a region where dangerous gas leakage occurs through sound and light equipment based on the danger mark, simultaneously acquiring an evacuation route from an evacuation guiding module in real time, and informing workers in real time to carry out accident handling and safe evacuation through a preset contact way of a system and based on a short message and voice way;
Generating guiding voice based on the evacuation route generated in the evacuation guiding module, and guiding voice evacuation in the area through external speaker equipment.
5. The on-line hazardous gas monitoring system of claim 1, wherein: the evacuation guidance module comprises:
a monitoring area simulation unit for:
building structure blueprint data of a monitoring area are obtained, wherein the building structure blueprint data comprise a plan view, an elevation view and floor distribution information, and a digital model is built according to the obtained building structure blueprint data through BIM;
Identifying, in a digital model, each node of the building structure, the node including a room, a door, a window, a corridor, a stairway, and an escape route, matching a spatial unit with each node based on the location information;
And associating connectivity and reachability among the nodes, and setting parameters of temperature, humidity and wind speed of the nodes in the simulation environment based on the actual condition of the building.
6. The on-line hazardous gas monitoring system of claim 5, wherein: the evacuation guidance module further comprises:
A gas diffusion prediction unit for:
The method comprises the steps of obtaining a gas concentration change trend curve of various gases in each space unit in a real-time monitoring module, obtaining gas data of dangerous gases in each space unit, wherein the gas data comprise gas concentration and concentration increasing and decreasing rate, bringing the gas data of the dangerous gases in each space unit into a digital model, predicting the diffusion trend and range of the gases based on the digital model and updating of the real-time monitoring data, and dynamically adjusting the diffusion model to obtain a gas diffusion path.
7. The on-line hazardous gas monitoring system of claim 6, wherein: the evacuation guidance module further comprises:
A safety route planning unit for:
Based on the gas diffusion paths obtained by the gas diffusion prediction unit, screening each node in the digital model, removing the nodes involved in the gas diffusion paths to obtain safety nodes, acquiring connectivity among the safety nodes, and generating a safety evacuation route based on the safety nodes;
The safe evacuation route is sent to a danger early warning module;
Continuously receiving data in the gas diffusion prediction unit, and adjusting and updating the evacuation route in real time.
8. A monitoring method of the hazardous gas on-line monitoring system according to claim 7, characterized in that: the method comprises the following steps:
The front-end node collects a gas sample from a detection point through a gas sensor, analyzes the collected gas sample, extracts gas types and gas concentrations, acquires position information of an area where the front-end node is located by using a Wi-Fi positioner, performs wireless communication with a real-time monitoring module, and transmits the gas information and the position information based on a wireless network;
the real-time monitoring module receives the gas information and the position information, performs data analysis, cleaning and preprocessing, then writes target data into a database, reads the latest target data from the database, performs gas information analysis, generates a gas concentration change trend curve, performs monitoring comparison according to a preset dangerous threshold value, judges whether the data is normal or abnormal, and performs dangerous marking on the abnormal data;
The evacuation guidance module acquires blueprint data of a building structure of a monitoring area, establishes a digital model, sets parameters of each node in a simulation environment, acquires a gas concentration change trend curve and dangerous gas data of each space unit in real-time monitoring data, predicts the diffusion trend and range of gas, dynamically adjusts the diffusion model, and plans a safe evacuation route based on a gas diffusion prediction result;
The danger early warning module receives the danger mark, gives an alarm through the acousto-optic equipment, informs workers of accident handling and safe evacuation through modes such as short messages, voices and the like, and simultaneously carries out voice evacuation guiding based on the evacuation route generated by the evacuation guiding module.
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