The model utility content
The purpose of this utility model is to overcome the deficiency of existing gas pipeline risk management technology, and a kind of gas pipeline risk management device is provided.
To achieve these goals, the technological scheme of employing is as follows:
A kind of device that is used for the gas pipeline risk management is provided, comprises gas pipeline parameter acquisition unit and data processing unit; Described gas pipeline parameter acquisition unit is connected with data processing unit by the typing interface.
Described device can also comprise the data output unit; Described data output unit is connected with data processing unit.
Described gas pipeline parameter acquisition unit is arranged at the gas pipeline of segmentation.
The gas pipeline of described segmentation is to have the pipeline part of identical external environment condition, material, laying time, structural design, conveying medium as a segment pipe and mark.
The beneficial effects of the utility model are: the utility model is used for reference advanced foreign technology, in conjunction with national truth, pipeline is carried out segmentation, the gas pipeline parameter acquisition unit is arranged at the gas pipeline of segmentation; And pipeline risk parameter sort module and weight allocation module in data processing unit, have been increased, make the utility model have more applicability, be applied to underground gas pipeline risk assessment management, the more accurate and science of the result who obtains, can assist to set up complete underground gas pipe network safety evaluating system, to realize the target of " follow the tracks of and detect---security evaluation---planned reparation ".
Embodiment
Selecting Gas Co Ltd of Guangzhou City to be embodied as example in the Guangzhou pilot with the utility model below is described further the utility model.
As shown in Figure 1, a kind of gas pipeline risk management device, comprise and be arranged at segmentation and be marked with the gas pipeline 1,2 of segmentation mark and 3 gas pipeline parameter acquisition unit 4,5,6, gas pipeline parameter acquisition unit 4,5,6 is connected with data processing unit 8 by typing interface 7, and data processing unit comprises Mu Shi risk evaluation module 9, pipeline risk parameter sort module 10 and weight allocation module 11.
The gas pipeline of segmentation is will have the pipeline part of identical external environment condition, material, laying time, structural design, conveying medium as an evaluation object, and the segmentation foundation comprises the Years Of Service data of corrosivity data, pipeline anticorrosion coating insulation resistivity and the pipeline of pipe laying place population density data, tube circumference soil.For example scanner, surveying instrument and other test systems etc. collect from the pipeline and the surrounding enviroment thereof of segmentation these data by the conventional gas pipeline parameter acquisition unit that uses of Gas Company.Because each bar pipeline, even same residing external environment condition of each section of pipeline, the material of pipeline itself, the difference of laying time etc., concrete grammar all will carry out suitable fine setting when carrying out risk management, so, will be before risk assessment with pipeline segmentation and mark, pipeline is divided into and has the identical internal and external environment and the pipeline section of parameter as far as possible, and in four factors of segmentation institute foundation, the tube circumference population density is a factor that influences duct segments situation maximum, secondly is soil corrosion, the anticorrosive coat situation, be only pipeline service life at last, so when carrying out duct segments, at first pipeline is carried out segmentation, then on the basis of this segmentation at the difference of the population density, carry out segmentation again at the difference of soil corrosivity again, and the like, after four segmentations, obtain the final segmentation result of pipeline at last.
Gas pipeline parameter acquisition unit 4,5,6 is imported data processing unit 5 with data by the typing interface respectively, and 10 pairs of parameters that cause the pipeline risk of pipeline risk parameter sort module are classified; Weight allocation module 11 assigns weight according to the degree of influence of each parameter to the gas pipeline risk, calculates the fuel gas pipeline leakage influence coefficient according to the danger of fed sheet of a media and the size of influence surface; 9 pairs of pipelines of Mu Shi risk evaluation module carry out the risk assessment of each factor, and calculate exponential sum, go out the relative risk value according to exponential sum and leakage contribution coefficient COMPREHENSIVE CALCULATING, and the relative risk value that obtains is analyzed, and draw risk evaluation result.
Pipeline risk parameter sort module 10 is categorized as third party's destructive factor, corrosion failure factor, design deficiency factor, improper operation factors according to the influence to gas pipeline accident possibility occurrence.The parameter that causes the pipeline risk comprises that detected parameters, the parameter of pipe network generalized information system, inquiry agency get parameter; Described detected parameters comprises the corrosivity of soil, insulation resistance, anticorrosive coat defect inspection, stray electrical current and the pipeline cathode protection current potential of pipeline anticorrosion coating; The parameter of described official website generalized information system comprises the design pressure of thickness, pipeline of caliber, the tube wall of gas pipeline and actual motion pressure etc.; Described inquiry agency gets parameter and comprises and obtain the parameter relevant with humanity, geography, the construction conditions in place that pipeline is buried underground by inquiry.
Parameter can represent that the tabulation and the parameter assignment form of concrete parameter are as shown in table 1 with high, medium and low the grade:
The tabulation and the parameter assignment form of the concrete parameter of table 1
The macroscopic view adjustment that weight allocation module 8 adopts the mathematics probability statistics obtains in conjunction with the mode design that the microcosmic adjustment of expert opinion combines.At first calculate the risk probability that influences all kinds of factors of gas pipeline, then with these risk probability normalization, and the total score value of weight of all factors was redistributed according to normalized success ratio originally.
Because in influencing all Fundamentals of risk assessment, be not that the generation to all incidents all plays same function.When therefore module is carried out the weight scoring, its corresponding score value should be corresponding with its risk probability, thus, the process that weight module is adjusted is at first to obtain the risk probability that influences all kinds of factors of top event, then with these risk probability normalization, and total score value of will marking is redistributed according to normalized success ratio.From existing statistics as can be known, tub curve takes place generally to satisfy in the accident of pipeline, and stage pipeline work and unstable is closed in initial stage place's dry grinding, and the later stage, accident took place also more frequent near projected life.The risk probability computational methods of described gas pipeline can be with reference to prior art.
In the pilot experiment of Gas Co Ltd of Guangzhou City, in the middle of four factors of duct segments, soil corrosion and pipeline anticorrosion coating situation collect by measurement, obtain the service life of pipeline from the operation history data of Guangzhou gas company gas pipeline, and the tube circumference population density then calculates with instrument by inquiry.Segmentation is carried out according to the following steps:
(1) at first, selected starting point is carried out every kilometer segmentation to pipeline, and then, each section is carried out the survey of population at this.By survey, obtain along 1000 meters in pipeline longly, be the center with the pipeline, each 200 meters of both sides are the size of population in the totally 400 wide areal extents.
(2) in the process of investigation, may meet some more special situations, such as, in 1000 meters that are investigated scope, a sub-district is arranged, and the length of sub-district is greater than 200 meters, at this time, need do as a whole taking into account to this sub-district, last COMPREHENSIVE CALCULATING.Be divided into three sections as pipeline, wherein one section is passed through a sub-district, one section is passed through a semiworks, and the length of sub-district and factory all surpasses 400 meters, so will whole sub-district and factory all takes into account rather than only just those 400 meters of the pipeline both sides when considering this situation.Carry out the calculating of the population density at last, i.e. the population density=gross population/gross area, the gross area comprises the off-limits that part of area in sub-district.
(3) obtain after the population density of each section, if the variation of the adjacent two sections population density in 10%, will these two sections be combined into one section, the rest may be inferred.Segmentation situation after merging is the result that density is per capita carried out segmentation.If suitably reduce the hop count of telling by the population density, the excursion of the adjacent two sections population density can be expanded to 20% even bigger, this method to soil corrosivity segmentation also use.
Carry out on the basis of segmentation in density per capita, the corrosivity of pipeline soil along the line is detected.And in the above on the basis of segmentation result, by 1 km segmentation, per 1 km detects once.Detected soil corrosivity is analyzed, if the difference of adjacent two sections soil corrosivities of seeing in 30%, just is combined into one section to these two sections.The segmentation situation of soil corrosivity that obtained a new consideration at last.
On the basis of former segmentation result, also will be at pipeline anticorrosion coating, pipeline carries out segmentation service life.
If the result after the segmentation is dissatisfied, think that perhaps hop count is too many, worry that the compiling costs of assessment data is too high, need carry out reprocessing to the result of segmentation.
Such as, 60 kilometers pipelines in city have been carried out segmentation.The step of segmentation is by top method, has divided 15 sections by the population density, has increased by 8 sections according to soil corrosion, has increased by 14 sections again according to the pipeline anticorrosion coating situation, has increased by 6 sections again service life by pipeline at last, and total hop count of so last segmentation is 43 sections.If feel with these 60 kilometers pipelines be divided into 43 sections too many, want to reduce this hop count.That just deletes by the different significance of these four factors, subtracts unessentially earlier, and loss of weight is wanted again.So, at first should consider to reduce those 6 sections by pipeline generation service life, secondly be 14 sections that pipeline anticorrosion coating produces, the rest may be inferred.If think that also such segmentation hop count is too many, can increase by 1 km spacing of population density segmentation on demand, suitable until last segmentation result.
This device can also comprise output unit 12, for example printer, video data processing result intuitively.
The utility model is implemented by the pilot that takes the lead in the Guangzhou, successfully realizes the risk assessment of Guangzhou under ground portion gas pipeline, according to management of the present utility model corresponding pipeline is implemented Risk-warning and processing, receives comparatively desirable effect.