CN109737309B - Risk source and leakage tracing method and system based on risk identification - Google Patents
Risk source and leakage tracing method and system based on risk identification Download PDFInfo
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Abstract
The invention discloses a risk source leakage tracing method based on risk identification, which comprises the following steps: identifying a source location of a site pipeline; selecting a suitable gas leakage diffusion model and formulating a pipeline on-site monitoring equipment deployment scheme; arranging a plurality of gas leakage monitoring devices on the pipeline site according to the pipeline site monitoring device arrangement scheme; the gas leakage monitoring devices collect gas leakage data of a pipeline site in real time, and a gas leakage diffusion model is combined with a pipeline site monitoring device deployment scheme to perform leakage source determination and tracing analysis on the collected gas leakage data to obtain the source intensity and the specific position of a gas leakage source. The system for realizing the risk source and leakage source determining and tracing method based on the risk identification is further disclosed. The invention carries out targeted deployment of monitoring equipment on the risk source, can detect leakage in real time and can also accurately position the position of the leakage source, thereby reducing the manual inspection cost and reducing the personal safety risk of searching the leakage source.
Description
Technical Field
The invention relates to the technical field of dangerous source detection methods for petrochemical industry, in particular to a risk source leakage tracing method and a risk source leakage tracing system based on risk identification.
Background
The toxic and harmful gas leakage point of petrochemical device is many and wide, and the risk is difficult for discerning, and conventional detection means is reluctant as it is difficult, and at present, conventional detection means mainly has two kinds:
1. adopt artifical portable instrument to detect, artifical portable instrument mainly adopts portable flame ionization detector and thermal infrared imager, and its detection cycle generally is quarterly or year, and detection cycle is longer and real-time nature is carried out one's residence time, and it is great that the detection precision receives artificial operation custom and environmental factor to influence, can't carry out real-time detection and risk source discernment to leaking the source. In addition, because a manual portable instrument is adopted for measurement, the monitoring data of different devices are in an independent and offline state, potential or existing risks cannot be pre-warned, and the data of the different monitoring devices cannot be fused, so that the accurate position of a leakage source can be judged;
2. adopt fixed monitor to detect, fixed monitor mainly is various toxic gas and combustible gas detector, and it deploys mainly according to GB50493 "petrochemical enterprise combustible gas and toxic gas monitoring alarm design rule" and GB16808 "combustible gas alarm control ware", and the alarm sets up the threshold value and generates alarm information mostly, can't form the linkage and overall arrangement processing monitoring data with other equipment in certain area, leads to the wrong report rate height. In addition, as the distribution is only carried out on the basis of meeting the international requirements, repeated distribution and isolated distribution occur on the site, and potential dangerous points cannot be identified by using work, the monitoring range is limited, the effect is not obvious, and the monitoring of a great potential dangerous source and the confirmation of the position of a leakage source are difficult to realize.
To this end, the applicant has sought, through useful research and study, a solution to the above-mentioned problems, and the technical problems to be described below have arisen in this context.
Disclosure of Invention
One of the technical problems solved by the invention is as follows: the method has the advantages that the risk source is pertinently deployed with monitoring equipment, the position of the leakage source can be accurately positioned while the leakage is detected in real time, the manual inspection cost is reduced, the personal safety risk of searching the leakage source is reduced, and the accident emergency, risk assessment and engineering protection level are favorably improved.
The second technical problem to be solved by the present invention is: a system for realizing the risk source and leakage tracing method for risk identification is provided.
The risk source and leakage tracing method based on risk identification in the first aspect of the invention comprises the following steps:
identifying a dangerous source position of the field pipeline based on HAZOP analysis;
selecting a suitable gas leakage diffusion model and formulating a pipeline on-site monitoring equipment deployment scheme according to the identified position of the dangerous source of the on-site pipeline, the on-site pipeline layout and the properties and types of the possible leaked gas;
arranging a plurality of gas leakage monitoring devices on the pipeline site according to the pipeline site monitoring device deployment scheme;
the gas leakage monitoring devices collect gas leakage data of a pipeline site in real time, and the gas leakage diffusion model is combined with the pipeline site monitoring device deployment scheme to perform leakage source tracing analysis on the collected gas leakage data to obtain the source intensity and the specific position of a gas leakage source.
In a preferred embodiment of the invention, the gas leakage diffusion model performs imaging processing on the collected gas leakage data and generates a leakage medium flow diagram and an influence range diagram of the leakage medium flow diagram on the pipeline site.
In a preferred embodiment of the present invention, the method further comprises a predictive alert analyzing step, wherein the predictive alert analyzing step comprises:
acquiring gas leakage data acquired by the plurality of gas leakage monitoring devices in real time;
performing prediction early warning analysis on the acquired gas leakage data, and judging the risk level and leakage trend of a gas leakage source;
and forming a gas leakage alarm signal and/or a gas leakage early warning signal according to the risk grade of the gas leakage source and the leakage trend thereof.
In a preferred embodiment of the present invention, the method further comprises a gas leakage diffusion model verification step, wherein the gas leakage diffusion model verification step comprises:
acquiring gas leakage data acquired by the plurality of gas leakage monitoring devices in real time;
inputting the acquired gas leakage data into the gas leakage diffusion model for verification;
judging whether the verification meets the requirements or not; if the verification meets the requirements, the selected gas leakage diffusion model is matched with the field pipeline; if the verification does not meet the requirements, the selected gas leakage diffusion model is not matched with the field pipeline, and at the moment, the proper gas leakage diffusion model is selected again according to the obtained gas leakage data.
In a preferred embodiment of the present invention, the method further includes a data training and learning step, the leakage source determining analysis is based on a leakage source determining algorithm model, the prediction and early warning analysis is based on a prediction and early warning algorithm model, and the data training and learning step includes:
acquiring gas leakage data acquired by the plurality of gas leakage monitoring devices in real time;
respectively inputting the acquired gas leakage data serving as training data into the constant leakage tracing algorithm model and the prediction early warning algorithm model for training;
and respectively optimizing the constant leakage tracing algorithm model and the prediction early warning algorithm model according to the training result.
As a second aspect of the present invention, a system for implementing the risk source and leakage tracing method based on risk identification includes:
a hazard source identification module for identifying a hazard source location of the field pipeline based on the HAZOP analysis;
the gas leakage diffusion model selection module is used for selecting a proper gas leakage diffusion model according to the identified position of the dangerous source of the field pipeline, the layout of the field pipeline and the property and the type of the possible leaked gas;
the deployment scheme making module is used for making a deployment scheme of the pipeline on-site monitoring equipment according to the recognized dangerous source position of the on-site pipeline, the on-site pipeline layout and the property and the type of the possible leaked gas;
a plurality of gas leakage monitoring devices deployed at a pipeline site according to the pipeline site monitoring device deployment scenario; and
and the fixed leakage tracing analysis module is used for performing fixed leakage tracing analysis on the collected gas leakage data by adopting the selected gas leakage diffusion model and combining the pipeline field monitoring equipment deployment scheme to obtain the source intensity and the specific position of the gas leakage source.
In a preferred embodiment of the present invention, the system further comprises a prediction and early warning analysis module, wherein the prediction and early warning analysis module is configured to perform prediction and early warning analysis on the acquired gas leakage data, determine a risk level of a gas leakage source and a leakage trend thereof, and form a gas leakage alarm signal and/or a gas leakage early warning signal according to the risk level of the gas leakage source and the leakage trend thereof.
In a preferred embodiment of the present invention, the system further includes a gas leakage diffusion model verification module, and the gas leakage diffusion model verification module is configured to input the acquired gas leakage data into the gas leakage diffusion model for verification.
In a preferred embodiment of the present invention, the system further includes a data training learning module, and the data training learning module is configured to input the acquired gas leakage data as training data into the leakage tracing algorithm model in the leakage tracing analysis module and the prediction and early warning algorithm model in the prediction and early warning analysis module, respectively, for training, and optimize the leakage tracing algorithm model and the prediction and early warning algorithm model according to a training result.
Due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. the invention effectively solves the problem that the petrochemical device cannot know leakage in time and cannot position the position of a leakage source, realizes the online real-time monitoring of major asset equipment, accurately positions the specific position of the leakage source by a real-time monitoring and leakage source determining tracing mode and acquires the diffusion path and the influence range of the leakage source;
2. according to the invention, the digital Internet of things monitoring node equipment is deployed at major risk and major risk equipment leakage sources of the petrochemical device, leakage is monitored, risk level is judged, leakage risk level of the device is reduced, and process safety level is improved;
3. based on risk analysis and monitoring and early warning of a gas leakage diffusion model, the identification rate of the leakage source of major risk and major risk equipment is not lower than 90%, and the leakage risk judgment accuracy is not lower than 90%.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a risk source and drain tracing method based on risk identification according to the present invention.
FIG. 2 is a block flow diagram of predictive alert analysis of the present invention.
FIG. 3 is a block flow diagram of a gas leak diffusion model validation of the present invention.
FIG. 4 is a block flow diagram of the data training learning of the present invention.
Fig. 5 is a schematic diagram of the architecture of the system of the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained below by combining the specific drawings.
Referring to fig. 1, a risk source and leakage tracing method based on risk identification is provided, which includes the following steps:
step S10, identifying a hazard source location for the field pipe based on the HAZOP analysis. The HAZOP analysis is danger and operability analysis, and the position of a danger source of the field pipeline can be identified according to the HAZOP analysis report. The HAZOP analysis method is based on scientific procedures and methods, carries out pre-identification, analysis and evaluation on potential dangers in engineering projects or production devices from the perspective of a system, identifies production device design, operation and maintenance procedures, and provides improvement suggestions and suggestions to improve the safety and operability of the device technological process and provide basis for making basic disaster prevention measures and emergency plans to make decisions. The primary purpose of HAZOP is to design scrutiny on the safety and operability of the device. The HAZOP analysis is researched by experts of production management, process, safety, equipment, electricity, instruments, environmental protection, economy and other industries, the analysis method comprises the steps of identifying potential deviation from a design purpose, analyzing possible reasons of the deviation and evaluating corresponding results, adopting standard guide words, combining related process parameters and the like, carrying out systematic analysis according to the process, and analyzing problems, reasons, possible results and measures to be taken which may occur in normal/abnormal conditions.
And step S20, selecting a suitable gas leakage diffusion model and making a pipeline on-site monitoring equipment deployment scheme according to the identified position of the dangerous source of the on-site pipeline, the on-site pipeline layout and the properties and types of the possible leaked gas.
And step S30, arranging a plurality of gas leakage monitoring devices on the pipeline site according to the pipeline site monitoring device arrangement scheme. In the present embodiment, the gas leakage monitoring apparatus is preferably a gas monitoring sensor of various types.
And step S40, acquiring gas leakage data of the pipeline site in real time by the plurality of gas leakage monitoring devices, and performing leakage source tracing analysis on the acquired gas leakage data by adopting a gas leakage diffusion model and combining a pipeline site monitoring device deployment scheme to obtain the source intensity and the specific position of the gas leakage source.
In addition, in step S40, the gas leakage diffusion model may further perform imaging processing on the collected gas leakage data, generate a leakage medium flow diagram and an influence range diagram of the pipeline site, and present the source intensity and the influence range of the gas leakage source in an imaging manner, so that an operator can more intuitively know the specific situation of the gas leakage source.
The risk source and leakage tracing method based on risk identification further comprises a prediction early warning analysis step S50, referring to FIG. 2, wherein the prediction early warning analysis step S50 comprises the following substeps:
step S51, acquiring gas leakage data acquired by a plurality of gas leakage monitoring devices in real time;
step S52, carrying out prediction, early warning and analysis on the obtained gas leakage data, and judging the risk level of a gas leakage source and the leakage trend thereof;
and step S53, forming a gas leakage alarm signal and/or a gas leakage early warning signal according to the risk level of the gas leakage source and the leakage trend thereof, and sending the gas leakage alarm signal and/or the gas leakage early warning signal to related operators so that the related operators can know the leakage condition of the pipeline site in time, the repair is facilitated in time, and safety accidents are avoided.
The risk source and leakage tracing method based on risk identification further comprises a gas leakage diffusion model verification step S60, referring to FIG. 3, wherein the gas leakage diffusion model verification step S60 comprises the following sub-steps:
step S61, acquiring gas leakage data acquired by a plurality of gas leakage monitoring devices in real time;
step S62, inputting the acquired gas leakage data into a gas leakage diffusion model for verification;
step S63, judging whether the verification meets the requirement; if the verification meets the requirements, the selected gas leakage diffusion model is matched with the field pipeline; if the verification does not meet the requirements, the selected gas leakage diffusion model is not matched with the field pipeline, and at the moment, the proper gas leakage diffusion model is selected again according to the obtained gas leakage data.
The risk source and leakage tracing method based on risk identification further comprises a data training and learning step S70, wherein the leakage tracing analysis in the step S40 is based on a leakage tracing algorithm model, the leakage tracing algorithm model adopts the source-strength inverse calculation algorithm of the existing Gaussian plume model to realize leakage tracing, the prediction and early warning analysis in the step S50 is based on a prediction and early warning algorithm model, the prediction and early warning algorithm model generates a data trend graph according to the collected data (historical data serving as data labels), the accuracy of the trend graph is reversely verified by using future real-time sampling data, and then characteristic factors are adjusted to optimize the algorithm model. Referring to fig. 4, the data training learning step S70 includes:
step S71, acquiring gas leakage data acquired by a plurality of gas leakage monitoring devices in real time;
step S72, the acquired gas leakage data are used as training data and are respectively input into a leakage source-determining algorithm model and a prediction early warning algorithm model for training;
and step S73, respectively optimizing the constant leakage tracing algorithm model and the prediction early warning algorithm model according to the training result.
Referring to fig. 5, the risk source and leakage tracing system based on risk identification provided in the present invention includes a risk source identification module 100, a gas leakage diffusion model selection module 200, a deployment scheme formulation module 300, a plurality of gas leakage monitoring devices 400, a leakage tracing analysis module 500, a prediction and early warning analysis module 600, a gas leakage diffusion model verification module 700, and a data training and learning module 800.
The hazard source identification module 100 is configured to identify a location of a hazard source of a field pipeline based on the HAZOP analysis.
The gas leakage diffusion model selection module 200 is configured to select a suitable gas leakage diffusion model according to the identified location of the hazardous source of the field pipeline, the layout of the field pipeline, and the properties and types of the possible leaked gas. In addition, the gas leakage diffusion model can carry out imaging processing on the collected gas leakage data, generate a leakage medium flow diagram and an influence range diagram of the pipeline site, present the source intensity of the gas leakage source and the influence range of the gas leakage source in an imaging mode, and enable an operator to know the specific situation of the gas leakage source more intuitively.
The deployment scenario formulation module 300 is configured to formulate a deployment scenario for the pipeline on-site monitoring device according to the location of the dangerous source of the identified on-site pipeline, the layout of the on-site pipeline, and the nature and type of the possible leaking gas.
A plurality of gas leak monitoring apparatuses 400 are deployed at the pipeline site according to a pipeline site monitoring apparatus deployment scheme.
The leakage source determining and analyzing module 500 is configured to perform leakage source determining and analyzing on the collected gas leakage data by using the selected gas leakage diffusion model and combining with the pipeline on-site monitoring device deployment scheme, so as to obtain the source strength of the gas leakage source and the specific position of the gas leakage source.
The prediction early warning analysis module 600 is configured to obtain gas leakage data acquired by the plurality of gas leakage monitoring devices 400 in real time, perform prediction early warning analysis on the obtained gas leakage data, determine a risk level and a leakage trend of a gas leakage source, and form a gas leakage warning signal and/or a gas leakage early warning signal according to the risk level and the leakage trend of the gas leakage source.
The gas leakage diffusion model verification module 700 is configured to input the acquired gas leakage data into the gas leakage diffusion model for verification.
The data training and learning module 800 is configured to input the acquired gas leakage data as training data into a leakage source determining and tracing algorithm model in the leakage source determining and tracing analysis module and a prediction and early warning algorithm model in the prediction and early warning analysis module, respectively, for training, and optimize the leakage source determining and early warning algorithm model and the prediction and early warning algorithm model according to a training result.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A risk source and leakage tracing method based on risk identification is characterized by comprising the following steps:
identifying a dangerous source position of the field pipeline based on HAZOP analysis;
selecting a suitable gas leakage diffusion model and formulating a pipeline on-site monitoring equipment deployment scheme according to the identified position of the dangerous source of the on-site pipeline, the on-site pipeline layout and the properties and types of the possible leaked gas;
arranging a plurality of gas leakage monitoring devices on the pipeline site according to the pipeline site monitoring device deployment scheme;
the gas leakage monitoring devices collect gas leakage data of a pipeline site in real time, and the gas leakage diffusion model is combined with the deployment scheme of the pipeline site monitoring devices to perform leakage source tracing analysis on the collected gas leakage data to obtain the source intensity and the specific position of a gas leakage source;
the gas leakage diffusion model carries out imaging processing on the collected gas leakage data and generates a leakage medium flow diagram and an influence range diagram of the leakage medium flow diagram on the pipeline site.
2. The risk source and drain tracing method based on risk identification of claim 1, further comprising a predictive early warning analysis step, wherein the predictive early warning analysis step comprises:
acquiring gas leakage data acquired by the plurality of gas leakage monitoring devices in real time;
performing prediction early warning analysis on the acquired gas leakage data, and judging the risk level and leakage trend of a gas leakage source;
and forming a gas leakage alarm signal and/or a gas leakage early warning signal according to the risk grade of the gas leakage source and the leakage trend thereof.
3. The risk source leakage tracing method based on risk identification as claimed in claim 1, further comprising a gas leakage diffusion model verification step, said gas leakage diffusion model verification step comprising:
acquiring gas leakage data acquired by the plurality of gas leakage monitoring devices in real time;
inputting the acquired gas leakage data into the gas leakage diffusion model for verification;
judging whether the verification meets the requirements or not; if the verification meets the requirements, the selected gas leakage diffusion model is matched with the field pipeline; if the verification does not meet the requirements, the selected gas leakage diffusion model is not matched with the field pipeline, and at the moment, the proper gas leakage diffusion model is selected again according to the obtained gas leakage data.
4. The risk source tracing and leaking tracing method based on risk identification as claimed in claim 2, further comprising a data training and learning step, wherein the source tracing and leaking analysis is based on a source tracing and leaking algorithm model, the prediction and early warning analysis is based on a prediction and early warning algorithm model, and the data training and learning step comprises:
acquiring gas leakage data acquired by the plurality of gas leakage monitoring devices in real time;
respectively inputting the acquired gas leakage data serving as training data into the constant leakage tracing algorithm model and the prediction early warning algorithm model for training;
and respectively optimizing the constant leakage tracing algorithm model and the prediction early warning algorithm model according to the training result.
5. A system for implementing the risk source and drain tracing method based on risk identification according to any one of claims 1 to 4, comprising:
a hazard source identification module for identifying a hazard source location of the field pipeline based on the HAZOP analysis;
the gas leakage diffusion model selection module is used for selecting a proper gas leakage diffusion model according to the identified position of the dangerous source of the field pipeline, the layout of the field pipeline and the property and the type of the possible leaked gas;
the deployment scheme making module is used for making a deployment scheme of the pipeline on-site monitoring equipment according to the recognized dangerous source position of the on-site pipeline, the on-site pipeline layout and the property and the type of the possible leaked gas;
a plurality of gas leakage monitoring devices deployed at a pipeline site according to the pipeline site monitoring device deployment scenario; and
and the fixed leakage tracing analysis module is used for performing fixed leakage tracing analysis on the collected gas leakage data by adopting the selected gas leakage diffusion model and combining the pipeline field monitoring equipment deployment scheme to obtain the source intensity and the specific position of the gas leakage source.
6. The system of claim 5, further comprising a prediction and early warning analysis module, wherein the prediction and early warning analysis module is configured to perform prediction and early warning analysis on the acquired gas leakage data, determine a risk level of a gas leakage source and a leakage trend thereof, and form a gas leakage warning signal and/or a gas leakage early warning signal according to the risk level of the gas leakage source and the leakage trend thereof.
7. The system of claim 5, further comprising a gas leak diffusion model validation module configured to input the acquired gas leak data into the gas leak diffusion model for validation.
8. The system of claim 6, further comprising a data training learning module, wherein the data training learning module is configured to input the acquired gas leakage data as training data into the leakage source determining and tracing algorithm model in the leakage source determining and tracing analysis module and the prediction and early warning algorithm model in the prediction and early warning analysis module, respectively, for training, and optimize the leakage source determining and early warning algorithm model and the prediction and early warning algorithm model according to a training result, respectively.
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