CN106768652B - Oil depot monitoring method and system - Google Patents
Oil depot monitoring method and system Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 99
- 238000012544 monitoring process Methods 0.000 title claims abstract description 99
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- 239000003208 petroleum Substances 0.000 claims description 24
- 241001269238 Data Species 0.000 claims description 17
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- 238000005259 measurement Methods 0.000 description 6
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- G—PHYSICS
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- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
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Abstract
The embodiment of the present application provides a kind of oil depot monitoring method and system, wherein method includes the following steps: client acquires the status data of oil depot to be monitored；The first result data is determined according to status data, wherein the first result data is used to indicate whether to leak；Status data is sent to server end；Receive the second result data that server end is sent；Using the first result data and the second result data as monitoring of leakage result.Since the program is handled status data by artificial intelligence analysis using server end, the second result data is obtained, and then monitoring of leakage result is obtained according to the first result data and the second result data.Therefore acquisition data cannot be made full use of present in existing oil depot monitoring method by solving, and cannot be leaked the technical issues of carrying out Accurate Prediction to oil depot, reached and made full use of acquisition data, and the technical effect of monitoring, prediction oil depot leakage accuracy is improved.
Description
Technical field
This application involves environment monitoring techniques field, in particular to a kind of oil depot monitoring method and system.
Background technique
In actual production and life, the security situation of oil depot is extremely important.For example, if cannot send out in time in actual production
Existing oil depot leakage, can have very big security risk, in some instances it may even be possible to can cause serious production accident.Therefore, past when Specific construction
Toward needing to carry out real-time monitoring to the leakage scenarios of oil depot, to guarantee oil storage safety, and for subsequent monitoring, decision provide reference according to
According to.
Currently, the oil depot monitoring method/device mainly used is preset typically just to some specific datas, such as in air
The content data of organic matter is acquired and stores；Only by the data of acquisition with preset threshold do it is simple compared with.And it cannot be right
The data of acquisition are effectively handled and are analyzed.It is thus impossible to the connection between data is deeply excavated, it can not be to future
The leakage scenarios of oil depot predicted.
Therefore, existing oil depot monitoring method/device, often in the presence of acquisition data cannot be efficiently used when specific implementation,
Accurate measurements cannot be carried out to the leakage of oil depot and early warning, the technology that effective reference frame cannot be provided for follow-up decision are asked
Topic.
In view of the above-mentioned problems, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the present application provides a kind of oil depot monitoring method and system, to solve existing oil depot monitoring method/dress
Acquisition data cannot be efficiently used existing for setting, accurate measurements and early warning cannot be carried out to the leakage of oil depot, cannot be determined to be subsequent
Plan provides the technical issues of effective reference frame.
The embodiment of the present application provides a kind of oil depot monitoring method, comprising:
Client acquires the status data of oil depot to be monitored；
The first result data is determined according to the status data, wherein first result data is used to indicate whether to send out
Raw leakage；
The status data is sent to server end；
Receive the second result data that the server end is sent；
Using first result data and second result data as monitoring of leakage result.
In one embodiment, the status data includes at least one of: the content of organic matter is preset in air
Data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall pressure difference of the oil depot appendix, the oil depot petroleum pipeline
Inner tubal wall pressure, the inner tubal wall pressure of the oil depot appendix and the work information of the oil depot.
In one embodiment, include the case where the content data that organic matter is preset in air in the status data
Under, the status data of the acquisition oil depot to be monitored, comprising:
The content data that detector acquires default organic matter in air is chemically examined by photoion built-in in the client；
Organic matter is preset in air alternatively, chemically examining detector by the external photoion being connected with the client and acquiring
Content data.
In one embodiment, before the status data that the client acquires oil depot to be monitored, the method is also
Include:
Photoion chemical examination detector is calibrated.
In one embodiment, after the status data that the client acquires oil depot to be monitored, the method is also
Include:
Reject the invalid data in the status data；
Using the status data after rejecting invalid data as the first data；
Correspondingly, determining the first result data according to the status data, comprising: the client is according to first number
According to determination first result data；
The status data is sent to server end, comprising: first data are sent to the server end.
In one embodiment, the monitoring of leakage result includes at least one of: the warning that oil depot leaks
There are the prompting messages of risk of leakage for the instruction information and oil depot that information, oil depot do not leak.
Present invention also provides another oil depot monitoring methods, comprising:
The status data that received server-side client is sent；
According to the status data, the second data are obtained；
According to second data, determine the second result data, wherein second result data be used to indicate with down toward
It is one of few: the probability and leakage cause that leakage whether occurs, leaks；
Second result data is sent to the client.
In one embodiment, the status data includes at least one of: the content of organic matter is preset in air
Data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall pressure difference of the oil depot appendix, the oil depot petroleum pipeline
Inner tubal wall pressure, the inner tubal wall pressure of the oil depot appendix and the work information of the oil depot.
In one embodiment, according to second data, the second result data is determined, comprising:
According to multiple status datas in second data, corresponding multiple matching moulds are determined from multiple preset models
Type；
Respectively according to multiple status datas in the multiple Matching Model and second data, multiple fitting ginsengs are determined
Number；
According to the multiple fitting parameter and second data, the percolation ratio probability curve is established；
According to the percolation ratio probability curve, second result data is obtained.
In one embodiment, according to second data, before determining the second result data, the method is also wrapped
It includes:
Server end obtains multiple sample datas, obtains multiple sample data models；
The multiple sample data model is trained, the sample data model after obtaining multiple training is as described more
A preset model.
In one embodiment, according to second data, after determining the second result data, the method is also wrapped
It includes:
The leakage information of each oil depot is generated at each oil depot position in preset electronic map, wherein the leakage
Information includes at least one of: instruction information that warning message that the oil depot leaks, the oil depot do not leak and should
There are the prompting messages of risk of leakage for oil depot.
This application provides another oil depot monitoring methods, comprising:
Client acquires the status data of oil depot to be monitored, wherein the status data includes at least one of: air
In preset the content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the oil depot appendix double-layer tube wall
The operating condition letter of pressure difference, the inner tubal wall pressure of the oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix and the oil depot
Breath；
Client determines the first result data according to the status data, wherein first result data is used to indicate
Whether leak；
The status data is sent to server end by client；
Server end determines the second result data according to the status data, wherein second result data is for referring to
Show at least one of: the probability and leakage cause that leakage whether occurs, leaks；
Client is using first result data and second result data as monitoring of leakage result.
Based on identical inventive concept, the embodiment of the present application also provides a kind of Inspecting System for Oil Depot, comprising: client and
Server end, wherein
The client includes:
Acquisition module, for acquiring the status data of oil depot to be monitored, wherein the status data include it is following at least it
One: pair of the content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the oil depot appendix is preset in air
Layer tube wall pressure difference, the inner tubal wall pressure of the oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix and the oil depot
Work information；
First sending module, for the status data to be sent to the server end；
First determining module, for determining the first result data according to the status data, wherein first number of results
According to being used to indicate whether to leak；
First receiving module, the second result data sent for receiving the server end；
Display module, for using first result data and second result data as monitoring of leakage result；
The server end includes:
Second receiving module, the status data sent for receiving the client；
Second determining module, for determining the second result data according to the status data, wherein second number of results
According to being used to indicate at least one of: the probability and leakage cause that leakage whether occurs, leaks；
Second sending module, for second result data to be sent to the client.
In one embodiment, the server end further include:
Map display module, the leakage for generating each oil depot at oil depot each in preset electronic map position are believed
Breath, wherein the leakage information includes at least one of: warning message that the oil depot leaks, the oil depot do not seep
There are the prompting messages of risk of leakage with the oil depot for the instruction information of leakage.
It in the embodiment of the present application, is not only in visitor after the status data that client collects oil depot to be monitored
Family end carries out the analysis of simple data, but transmits data to server end simultaneously and analysed in depth, in conjunction with server end
Analysis with both clients is as a result, determine the situation of oil depot to be monitored.Because the analysis of server end and processing capacity are often
It is better than client.Therefore, by method provided by the embodiment of the present application can solve it is existing only by client into
Row monitoring is analyzed and existing result is inaccurate, and data user rate is lower, and the technical issues of predicting cannot be leaked to oil depot,
The technical effect for effectively improving monitoring result accuracy is reached.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The some embodiments recorded in application, for those of ordinary skill in the art, in the premise of not making the creative labor property
Under, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of oil depot monitoring method process flow diagram according to the embodiment of the present application；
Fig. 2 is another oil depot monitoring method process flow diagram according to the embodiment of the present application；
Fig. 3 is the process flow diagram according to another oil depot monitoring method of the embodiment of the present application；
Fig. 4 is the composite structural diagram according to the Inspecting System for Oil Depot of the embodiment of the present application；
Fig. 5 is the mechanism block diagram using the oil depot leaking substance of oil depot monitoring method/system provided by the embodiments of the present application；
Fig. 6 is the VOC using oil depot monitoring method/system provided by the embodiments of the present applicationSMonitoring modular system architecture shows
It is intended to；
Fig. 7 is server/visitor using the network transmission module of oil depot monitoring method/system provided by the embodiments of the present application
Family end design frame chart；
Fig. 8 is the network transmission module design diagram using oil depot monitoring method/system provided by the embodiments of the present application；
Fig. 9 is artificial intelligence analysis's flow diagram using oil depot monitoring method/system provided by the embodiments of the present application.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with the application reality
The attached drawing in example is applied, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described implementation
Example is merely a part but not all of the embodiments of the present application.Based on the embodiment in the application, this field is common
The application protection all should belong in technical staff's every other embodiment obtained without creative efforts
Range.
In view of existing oil depot monitoring method, due to generally can only acquisition and storage specific data, and then can only be in visitor
Compared with family end carries out specific data simply with preset threshold, therefore acquisition data effectively, fully cannot be utilized and be handled, lead
When causing Specific construction, acquisition data cannot be efficiently used by existing, and cannot carry out accurate measurements and early warning to the leakage of oil depot, cannot
The technical issues of providing effective reference frame for follow-up decision.For the basic reason for generating above-mentioned technical problem, the application
Consideration first can acquire specific data by client, while obtaining the first result data according to specific data by client,
Specific data is sent to server end by client；Server end gos deep into above-mentioned data by artificial intelligence analysis
Sufficient analysis processing, obtains the second result data；Final oil depot is obtained according to the first result data and the second result data
Monitoring of leakage is as a result, provide reference frame for follow-up decision.To solve existing for existing oil depot monitoring method/device not
Acquisition data can be efficiently used, accurate measurements and early warning cannot be carried out to the leakage of oil depot, cannot be provided for follow-up decision effectively
Reference frame the technical issues of.Abundant, effective use specific data is reached, has improved to the monitoring of oil depot leakage scenarios and early warning
The technical effect of accuracy.
Based on above-mentioned thinking thinking, the application provides firstly a kind of oil depot monitoring method.Please refer to Fig. 1.The application is real
The use for the client that the mode of applying provides, may comprise steps of.
Step 101: client acquires the status data of oil depot to be monitored.
It can be acquired to be measured in an embodiment in order to which the leakage scenarios to oil depot carry out overall monitor, accurate judgement
Status data of one or more related datas as oil depot in oil depot preset range.That is, the status data specifically can be with
Including at least one of: presetting the double-layer tube wall pressure difference, described of the content data of organic matter, the oil depot petroleum pipeline in air
The double-layer tube wall pressure difference of oil depot appendix, the inner tubal wall pressure of the oil depot petroleum pipeline, the oil depot appendix inner tube wall pressure
The work information of power and the oil depot.When it is implemented, can as the case may be, with any one or more combination therein
As the status data to be acquired.It should be noted that the work information of the oil depot specifically can be except default in air
The content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall pressure difference of the oil depot appendix, institute
The status information of oil depot other than the inner tubal wall pressure of oil depot petroleum pipeline and the inner tubal wall pressure of the oil depot appendix is stated, such as can
To be the environmental information etc. near the temperature of oil depot, the state report of oil depot staff submission and oil depot.
In one embodiment, the content data of the default organic matter specifically can be VOCs (Volatile
Organic Compounds, the abbreviation of volatile organic matter) content data.When it is implemented, can be according to the specific of oil depot
The specific requirement of situation or monitoring and early warning selects one or more of organic as presetting from a variety of volatile organic matters
Object is acquired the content data of default organic matter.In this regard, the application is not construed as limiting.
In one embodiment, when the status data includes presetting the content data of organic matter in air, client
It holds to acquire the content data for obtaining default organic matter, can be chemically examined by built-in photoion pre- in detector acquisition air
If the content data of organic matter；It can also be it is empty to chemically examine detector acquisition by the external photoion being connected with the client
The content data of organic matter is preset in gas.It should be noted that it is above-mentioned for acquire default organic matter content data light from
Son chemical examination detector can be integrated with a part of client, be also possible to independently of client, but with client by having
Line is wirelessly connected, and the acquisition equipment controlled by client.
In one embodiment, in order to acquire and obtain the content data for presetting organic matter in accurate air, in institute
It states before presetting the content data of organic matter in acquisition air, the method can also include: to chemically examine the photoion to detect
Device is calibrated.Wherein, carrying out calibration to photoion chemical examination detector can specifically include: standard gas and/or zero gas.Certainly, on
It states the two kinds of calibrating modes enumerated to be intended merely to that present embodiment is better described, can also include other calibrating modes.Tool
When body is implemented, suitable calibrating mode can be selected as the case may be.In this regard, the application is not construed as limiting.
Step 102: the first result data is determined according to the status data, wherein first result data is for referring to
Show whether leak.
In one embodiment, described to determine that the first result data can be to status data or according to status data
After one data carry out preliminary treatment, the result data for indicating whether to leak that obtains.For example, can be seeped according to common oil depot
Situation is leaked, a content threshold value is preset.The first result data is determined according to the status data, particularly as can be institute
The numerical value for stating status data or the first data is compared with content threshold value, according to comparable situation, determines the first result data.Example
Such as, if status data numerical value is more than or equal to content threshold value, it is determined that the first result data is: leaking.If status number
It is less than content threshold value according to numerical value, it is determined that the first result data is: not leaking.Certainly, above-mentioned cited determination first
The method of result data is intended merely to that present embodiment is better described, when it is implemented, can want with concrete condition and specifically
It asks and designs other suitable methods to carry out preliminary treatment according to status data or the first data, obtain the first result data.
Step 103: the status data is sent to server end.
In the present embodiment, in order to reduce the workload at subsequent server end, the working efficiency of server end is improved,
After the status data for acquiring oil depot to be detected, before the status data of oil depot to be monitored is sent to server end, institute
The method of stating can also include:
S1: the invalid data in the status data is rejected；
S2: using the status data after rejecting invalid data as the first data.
Correspondingly, the status data is sent to server end by subsequent client, so that it may be by first data
It is sent to the server end.Equally, correspondingly, subsequent client determines the first result data according to the status data, just
It can be client and determine first result data according to first data.
In one embodiment, in order to which to server end status data, client and server end can pass through
Wired or wireless internet is connected.The C/S network architecture can be used, is counted using Real-time Transport Protocol (real-time transport protocol)
Each member condition of data transmission procedure is monitored according to transmission, and using rtcp protocol (RTCP Real-time Transport Control Protocol).For
Guarantee safety, stability and the reliability of data real-time, interactive process, present embodiment is also at client and server end
Internetwork connection mode in introduce caching mechanism.Specifically, using the caching mechanism, for example, client can will be to be sent
Status data to server end is first buffered in a temporary storage, then status data is sent to clothes by temporary storage
It is engaged in device end, the wind that data are omitted or lost occurring when directly transmitting status data by client to reduce
Danger, improves safety, stability and the reliability of data transmission procedure.Certainly, server end can also pass through similar side
Formula, for example, the second result data can be first buffered in a temporary storage, then by temporary storage by the second number of results
According to being sent to client.It should also be noted that, by the mechanism, in conjunction with video monitoring subsystem may be implemented monitoring center by
Point arrives the overall monitor in face.When client and server end need to carry out real-time voice data or video data interaction, example
Such as, the image of making video recording of oil depot real time monitoring situation is sent to server end by staff, and monitoring center will be according to server
It, can be first by image data and voice data by the caching mechanism when received implementing monitoring situation being held to make voice instruction
It is buffered in temporary storage, is thering is temporary storage to be sent to corresponding server end or client, so as to realize pair
The real time monitoring and remote command of oil depot field condition.
Step 104: receiving the second result data that the server end is sent.
Step 105: using first result data and second result data as monitoring of leakage result.
In one embodiment, the monitoring of leakage result may include at least one of: what oil depot leaked
There are the prompting messages of risk of leakage for the instruction information and oil depot that warning message, oil depot do not leak.That is, server end can be with
According to the first result data and the second result data, pass through built-in display or external display equipment, display leakage prison
Survey result.Wherein, the monitoring of leakage is as a result, can be individually that the warning message that leaks of oil depot, oil depot do not seep
There are the prompting messages of risk of leakage for the instruction information and oil depot of leakage, are also possible to any two or three of above-mentioned instruction information
Combination.For example, indicating that the oil depot does not leak according to the first result data；According to the second result data, indicate that the oil depot is deposited
In the danger leaked, and the following probability leaked is very high, and the probability leaked is 70%.Client can combine
Above-mentioned the first result data and the second result data shows final monitoring of leakage result: the oil depot not yet seeps at present
Leakage, but future has 70% probability to leak.At the same time it can also show corresponding prompting message or warning information, for example, also
Can show: the oil depot risk of leakage is high, it is noted that investigation hidden danger.
Corresponding to above-mentioned oil depot monitoring method, present invention also provides another oil depot monitoring methods, can be refering to figure
2.The oil depot monitoring method that the application embodiment provides, can specifically include following steps.
Step 201: the status data that received server-side client is sent.
In the present embodiment, the status data may include at least one of: containing for organic matter is preset in air
Measure data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall pressure difference of the oil depot appendix, the oil depot oil transportation
The work information of the inner tubal wall pressure of pipe, the inner tubal wall pressure of the oil depot appendix and the oil depot.
In a present embodiment, in order to receive client transmission status data, server end can by with visitor
Wired or wireless internet connection between the end of family.Certainly, if client transmission is first obtained by pretreatment
Data, it is also the first data that server end receives accordingly here.
Step 202: according to the status data, obtaining the second data.
In one embodiment, artificial intelligence analysis can be effectively carried out in order to subsequent, server end also needs to dock
The status data of receipts is pre-processed, and the second data are obtained.Wherein, the pretreatment may include: S1: reject the status number
Invalid data in；S2: using the status data after rejecting invalid data as the second data.It can also be with further include: S3: to place
The second data after reason are corrected, using the second data after correction as second data.Certainly, above-mentioned the step of enumerating
It is intended merely to the pretreated process that server end is better described to status data.When it is implemented, can also be according to specific
Situation design increases other pre-treatment steps, is further processed to status data, obtains the second data.
Step 203: according to second data, determining the second result data, wherein second result data is for referring to
Show at least one of: the probability and leakage cause that leakage whether occurs, leaks.
In one embodiment, in order to make full use of the second data, analysis obtains the second result data, server end tool
Body can obtain the second result data using artificial intelligence analysis according to the following steps.
S1: according to multiple status datas in second data, corresponding multiple are determined from multiple preset models
With model.It specifically can be according to multiple status datas in second data, determination is corresponding more from multiple preset models
A Matching Model, wherein the multiple Matching Model is corresponding with one in multiple status datas in second data respectively
Status data difference value be less than preset threshold；
S2: it respectively according to corresponding status data in the multiple Matching Model and second data, determines multiple quasi-
Close parameter；
S3: according to the multiple fitting parameter and second data, the percolation ratio probability curve is established；
S4: according to the percolation ratio probability curve, second result data is obtained.
In the present embodiment, server end, specifically can also be according to described second in order to establish multiple preset models
Data, before determining the second result data, using artificial intelligence, training obtains multiple preset models.
S1: server end obtains multiple sample datas, obtains multiple sample data models；
S2: being trained the multiple sample data model, and the sample data model after obtaining multiple training is as institute
State multiple preset models.
In one embodiment, second result data can be server end and pass through artificial intelligence according to the second data
The obtained judgement data whether leaked to the oil depot can be analyzed, are also possible to server end according to preset model to the oil
The probability analysis data that library future leaks are also possible to the oil depot occur leakage or the following possibility leaked are former
The analysis data of cause and position can also be the corresponding early warning designation date that accordingly server end is sent.Certainly,
Second data can be one of above-mentioned a variety of data, be also possible in above-mentioned a variety of data it is arbitrary two or more.Tool
Body can be set according to construction requirement, and the application is not construed as limiting.
In one embodiment, after server end determines the second result data, the first number of results can also be received
According to the live findings data with feedback, artificial intelligence is passed through according to the first result data, the second result data and live findings data
Can, above-mentioned preset model is adjusted, for example, can be according to live findings data and the first result data and the second number of results
Deviation between adjusts the weight of certain parameters in corresponding preset model or adjusts some model in multiple preset models
Weight or the serious preset model of deletion error or relevant parameter.And then it improves server end and determines the second result data
Accuracy.
Step 204: second result data is sent to the client.
In the present embodiment, server end passes through the internet wirelessly or non-wirelessly connected and is sent to the second result data
Client.
In one embodiment, in order to which the result for intuitively analyzing server end is presented to monitoring center people
Member carries out unified scheduling or formulates at whole so that monitoring center personnel are according to the concrete condition of oil depot each in area under one's jurisdiction
Reason strategy.After the second result data is sent to client, the method can also include: in preset electronic map
The leakage information of each oil depot is generated at each oil depot position, wherein the leakage information includes at least one of: the oil depot
There are the prompting messages of risk of leakage for instruction information that the warning message that leaks, the oil depot do not leak and the oil depot.
It should be noted that the leakage information that above-mentioned generation is shown can be warning message, oil that the individual oil depot leaks
Instruction information that library does not leak or the oil depot are also possible to above- mentioned information there are one in the prompting message of risk of leakage
Middle any two or three combinations can also be other relevant informations obtained as the case may be.When it is implemented, service
Device end can use GIS (Geographic Information System, the abbreviation of GIS-Geographic Information System) and database interface
Function intuitively generates visualizing monitor data and early warning probability icon on the electronic map.
Based on the above-mentioned oil depot monitoring method for being based respectively on client and server end, the application embodiment further provides
A kind of oil depot monitoring method of the synthesis based on above-mentioned client and server-side.Referring to Fig. 3, can specifically include following steps.
Step 301: client acquires the status data of oil depot to be monitored.
In one embodiment, the status data may include can at least one of: organic matter is preset in air
Content data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall pressure difference of the oil depot appendix, the oil depot
The work information of the inner tubal wall pressure of petroleum pipeline, the inner tubal wall pressure of the oil depot appendix and the oil depot.
In one embodiment, the content data that organic matter is preset in client acquisition air, may include: by interior
The content data of organic matter is preset in the photoion chemical examination detector acquisition air set；Alternatively, by being connected with the client
External photoion chemical examination detector acquisition air in preset the content data of organic matter.Wherein, the default organic matter can
To be one or more of volatile organic matter in air.
In one embodiment, before presetting the content data of organic matter in acquisition air, the method also includes
Photoion chemical examination detector is calibrated.Wherein, calibration may include standard gas and/or zero gas.
Step 302: client determines the first result data according to the status data, wherein first result data
It is used to indicate whether to leak.
Step 303: the status data is sent to server end by client.
In one embodiment, client, can be first to status number before status data is sent to server end
According to being pre-processed, to reduce the workload of server end.It can specifically include: rejecting the invalid number in the status data
According to；Using the status data after rejecting invalid data as the first data；Correspondingly, the status data is sent to server
End, comprising: first data are sent to the server end；Correspondingly, determining the first result according to the status data
Data, comprising: the client determines first result data according to first data.
In one embodiment, client is connect by internet wirelessly or non-wirelessly with server end, passes through the company
Tap into row data interaction.In order to improve safety, stability and the reliability of data exchange process, in above-mentioned connection type also
Introduce caching mechanism.In the present embodiment, status data is sent to server end by internet by client.
Step 304: server end determines the second result data according to the status data, wherein second number of results
According to being used to indicate at least one of: the probability and leakage cause that leakage whether occurs, leaks.
In one embodiment, the second result data is determined according to the status data, can specifically include:
S1: according to multiple status datas in second data, corresponding multiple matchings are determined from multiple preset models
Model, wherein the multiple Matching Model respectively with a corresponding state in multiple status datas in second data
The difference value of data is less than preset threshold；
S2: it respectively according to corresponding status data in the multiple Matching Model and second data, determines multiple quasi-
Close parameter；
S3: according to the multiple fitting parameter and second data, the percolation ratio probability curve is established；
S4: according to the percolation ratio probability curve, second result data is obtained.
In one embodiment, before determining the second result data according to the status data, the method may be used also
To include:
S1: server end obtains multiple sample datas；
S2: being trained the multiple sample data model, and the model after obtaining multiple training is as the multiple pre-
If model.
Step 305: client is using first result data and second result data as monitoring of leakage result.
In one embodiment, the monitoring of leakage result may include at least one of: what oil depot leaked
There are the prompting messages of risk of leakage for the instruction information and oil depot that warning message, oil depot do not leak.
In one embodiment, after the second result data is sent to client, the method can also include:
The leakage information of each oil depot is generated at each oil depot position in preset electronic map, wherein the leakage information includes
At least one of: the instruction information and the oil depot that warning message that the oil depot leaks, the oil depot do not leak exist
The prompting message of risk of leakage.So as to be managed collectively for the staff of monitoring center to local each oil depot
Reference frame is provided with subsequent strategy.So as to by the status data of local each oil depot and analysis result data intuitively
It shows so that the staff of monitoring center carries out unified scheduling and processing according to the overall condition in area under one's jurisdiction, is subsequent plan
Reference frame is slightly provided.
In the embodiment of the present application, compared to existing oil depot monitoring method, the method that the application embodiment provides can
Specific status data is acquired to first pass through client, and the first result data is obtained according to specific status data, wherein the
One result data is used to indicate whether to leak；Artificial intelligence is passed through according to particular state data by server end simultaneously
Analysis, obtain the second result data, wherein the second result data can serve to indicate that at least one of: whether occur leakage,
The probability and leakage cause leaked；Finally according to the first result data and the second result data, monitoring of leakage result is obtained.
The status data collected cannot be efficiently used existing for existing oil depot monitoring method/device by solving, cannot be to oil depot
The technical issues of leakage carries out accurate measurements and early warning, cannot provide effective reference frame for follow-up decision.Reached sufficiently,
Particular state data are efficiently used, the technical effect to oil depot leakage scenarios monitoring and early warning accuracy is improved.
Based on the same inventive concept, a kind of Inspecting System for Oil Depot is additionally provided in the embodiment of the present invention, such as following implementation
Described in example.Since the principle that device solves the problems, such as is similar to oil depot monitoring method, the implementation of Inspecting System for Oil Depot can be joined
See the implementation of oil depot monitoring method, overlaps will not be repeated.Used below, term " unit " or " module " can be real
The combination of the software and/or hardware of existing predetermined function.Although system and device described in following embodiment is preferably come with software
It realizes, but the realization of the combination of hardware or software and hardware is also that may and be contemplated.Referring to Fig. 4, being the present invention
A kind of composite structural diagram for the Inspecting System for Oil Depot that embodiment provides, the system may include: client 41 and server end 42,
Wherein, client 41 may include: acquisition module 411 again, and the first sending module 412, the first determining module 413, first receives
Module 414 and display module 415；Server end 42 may include: the second receiving module 421, the second determining module 422 and again
Two sending modules 423.The structure is specifically described below.
The client 41 may include:
Acquisition module 411, for acquiring the status data of oil depot to be monitored.
In one embodiment, the status data may include at least one of: organic matter is preset in air
Content data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall pressure difference of the oil depot appendix, the oil depot are defeated
The work information of the inner tubal wall pressure of oil pipe, the inner tubal wall pressure of the oil depot appendix and the oil depot.
First sending module 412, for the status data to be sent to the server end.
First determining module 413, for determining the first result data according to the status data, wherein first knot
Fruit data are used to indicate whether to leak.
First receiving module 414, the second result data sent for receiving the server end.
Display module 415, for using first result data and second result data as monitoring of leakage result.
In the present embodiment, the monitoring of leakage result may include at least one of: the police that oil depot leaks
Accusing information, the instruction information that oil depot does not leak and oil depot, there are the prompting messages of risk of leakage.
The server end 42 may include.
Second receiving module 421, the status data sent for receiving the client.
Second determining module 422, for determining the second result data according to the status data, wherein second knot
Fruit data are used to indicate at least one of: the probability and leakage cause that leakage whether occurs, leaks.
Second sending module 423, for second result data to be sent to the client.
In one embodiment, client 41 can be connected with server end 42 by internet wirelessly or non-wirelessly
It connects, by the connection, client 41 and server end 42 can carry out data interaction.For example, client 41 is to server end 42
Status data or server end 42 send the second result data to client 41.Further, the application embodiment is
Safety, stability and the reliability for improving data exchange process, in above-mentioned connection type also introduce caching mechanism.I.e.
The data that client 41 is sent to server end 42 are first received and stored by a temporary storage, then will by the temporary storage
Data are sent to server end 42.Equally, server end 42 is sent to the data of client 41 also first by a temporary storage
It receives and stores, then corresponding client 41 is sent data to by the temporary storage.It is being transmitted it is thus possible to reduce data
The risk lost or damaged in the process, improves safety, stability and the reliability of data transmission.
In one embodiment, the acquisition module 411 is chemically examined detector by built-in photoion and is acquired in air
The content data of default organic matter；Alternatively, it is empty to chemically examine detector acquisition by the external photoion being connected with acquisition module 411
The content data of organic matter is preset in gas.Wherein, default organic matter can be one of volatile organic matter in air or several
Kind.
The client 41 can also include the first preprocessing module, for rejecting the invalid number in the status data
According to, and using the status data after rejecting invalid data as the first data.Correspondingly, the first sending module 412 can will be described
First data replace above-mentioned status data and are sent to the server end.Equally, correspondingly, the first determining module 413 can institute
It states the first data and determines first result data.
In one embodiment, the second determining module 422 is in order to determine the second result data according to status data, specifically
It may include following subelement.
Coupling subelement is used for according to multiple status datas in second data, determining pair from multiple preset models
The multiple Matching Models answered, wherein the multiple Matching Model respectively with one in multiple status datas in second data
The difference value of a corresponding status data is less than preset threshold；
First determines subelement, for respectively according to corresponding state in the multiple Matching Model and second data
Data determine multiple fitting parameters；
Second determines subelement, for establishing the percolation ratio according to the multiple fitting parameter and second data
Probability curve；
Third determines subelement, for obtaining second result data according to the percolation ratio probability curve.
In one embodiment, second result data can be server end and pass through artificial intelligence according to the second data
The obtained judgement data whether leaked to the oil depot can be analyzed, are also possible to server end according to preset model to the oil
The probability analysis data that library future leaks are also possible to the oil depot occur leakage or the following possibility leaked are former
The analysis data of cause and position can also be the corresponding early warning designation date that accordingly server end is sent.Certainly,
Second data can be one of above-mentioned a variety of data, be also possible in above-mentioned a variety of data it is arbitrary two or more.Tool
Body can be set according to construction requirement, and the application is not construed as limiting.
In one embodiment, server end 42 can also include feedback adjustment module, for receiving the first number of results
According to the live findings data with feedback, artificial intelligence is passed through according to the first result data, the second result data and live findings data
Can, preset model is adjusted, for example, can according to live findings data and the first result data and the second result data it
Between deviation, adjust the power of some model in the weight of certain parameters in corresponding preset model or the multiple preset models of adjustment
Weight.And then the third that the second determining module 422 in server end 42 can be improved determines that subelement determines the second result data
Accuracy.
In one embodiment, the second determining module 422 can also include: modeling subelement, for obtaining multiple samples
Notebook data, and the multiple sample data model is trained, the model after obtaining multiple training is as the multiple default
Model.
In one embodiment, second determining module 422 can also include: pretreatment subelement, for shape
State data are pre-processed, and the status data that obtains that treated is as the status data.Wherein, the pretreatment can wrap
It includes: rejecting the invalid data in the status data and/or the status data is corrected.
In one embodiment, the server end 42 can also include map display module, in preset electricity
The leakage information of each oil depot is generated in sub- map at each oil depot position, wherein the leakage information include it is following at least it
One: there are risk of leakage for instruction information that warning message that the oil depot leaks, the oil depot do not leak and the oil depot
Prompting message.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
It should be noted that system, device, module or unit that above embodiment illustrates, it specifically can be by computer
Chip or entity are realized, or are realized by the product with certain function.For convenience of description, in the present specification, it retouches
It is divided into various units when stating apparatus above with function to describe respectively.It certainly, when implementing the application can be the function of each unit
It realizes in the same or multiple software and or hardware.
In addition, in the present specification, such as adjective as first and second can be only used for an element or move
Make to distinguish with another element or movement, without requiring or implying any actual this relationship or sequence.Permit in environment
Perhaps in the case where, it should not be interpreted as limited to one in only element, component or step referring to element or component or step (s)
It is a, and can be the one or more etc. in element, component or step.
It can be seen from the above description that oil depot monitoring method provided by the embodiments of the present application and system, can first lead to
Client acquisition particular state data are crossed, and the first result data is obtained according to particular state data by client, wherein the
One result data is used to indicate whether to leak；The stronger data processing performance of server end is recycled simultaneously, according to above-mentioned
Particular state data obtain the second result data by artificial intelligence analysis, wherein the second result data can serve to indicate that
At least one of: the probability and leakage cause that leakage whether occurs, leaks；Finally according to the first result data and second
Result data obtains monitoring of leakage result.It solves to efficiently use existing for existing oil depot monitoring method/device and acquire
The status data arrived cannot carry out accurate measurements and early warning to the leakage of oil depot, effective reference cannot be provided for follow-up decision
The technical issues of foundation.Reach abundant, effective use particular state data, improved to oil depot leakage scenarios monitoring precision,
Realize the technical effect of early warning；Status data or the first data are made full use of using artificial intelligence by server end, is divided
Analysis processing, improves the accuracy of oil depot monitoring and early warning；Status data is pre-processed further through client, obtains first
First data are sent to server end and are analyzed and processed by data, are reduced the workload of server end, are improved server
The analysis treatment effeciency at end；Each oil depot is generated at each oil depot position in preset electronic map further through server end
Information is leaked, Global Information is intuitively shown, further provides reference frame for follow-up decision；Also by client kimonos
Network connection between business device end introduces caching mechanism, improves the stabilization of data exchange process between client and server end
Property and reliability.
Although mentioning different oil depot monitoring method or system in teachings herein, the monitoring result of oil depot leakage is obtained,
But the application is not limited to be situation described in professional standard or embodiment etc., certain professional standards or makes
Above-described embodiment also may be implemented in embodiment modified slightly on the practice processes described with customized mode or embodiment
The implementation result being anticipated that after identical, equivalent or close or deformation.Using these modification or deformed data acquisition, processing,
The embodiment of output, judgment mode etc. still may belong within the scope of the optional embodiment of the application.
In a specific embodiment, a set of oil depot is devised using oil depot monitoring method system provided by the present application to seep
The intelligent online of leakage monitors system, carries out real-time monitoring and early warning to the leakage scenarios of multiple oil depots in certain region.
Refering to Fig. 5, the intelligent online monitoring system of oil depot leakage is mainly by live end VOCSDetection and analysis equipment, stabilization
Network transmission system, artificial intelligence hypothesis analysis system and the on-line monitoring center composition of safety.The system can carry out automatically
It samples, to VOCSIt is monitored on-line, leakage is analyzed and predicted.Data summarization is finally carried out by monitoring center, is arranged
And comprehensive analysis.
To guarantee the accurate of monitoring data, which needs periodically to mark live end analytical equipment with standard gas and zero gas
It is fixed.With VOC in air near PID sensor detection oil depotSContent transfers data to device analysis instrument by A/D converter
In.Using gas station's local area network, digital signal is transmitted to on-site supervision center, and show in display equipment.Meanwhile using mutual
The work information of monitoring data and the time is reached monitoring center in real time by networking technology.Data monitoring center utilizes artificial intelligence
Energy and data mining technology carry out intellectual analysis to monitoring data, and carry out analysis result to feed back to execute-in-place end, with complete
At leakage alarm and early warning.
Refering to Fig. 6, which has acquisition gas sample, analyzes VOC in airSThe function such as content, preservation and transmission data
Energy.In the module, using PID (Photoionization Detector, photoion chemically examine detector abbreviation), PID pairs
Most of organic matters can produce corresponding signal, and have non-destructive to tested gas.The detector not only has compared with Gao Ling
Sensitivity, moreover it is possible to the interference for avoiding such as oxygen, carbon monoxide, nitrogen common gas, in complex environment also only and organic matter it is anti-
It answers, there is stronger directive property.
By the analog signal of PID detection by A/D converter, digital data transmission is arrived using 485 communication protocol of serial ports
In calibrated device analysis instrument (Online Monitoring Control instrument), and monitoring point service is transferred to after monitoring data are arranged calculating
Device.The data of server pass through local network transport to control centre, gas station all the way, are supervised all the way by the Internet transmission to data
Control center.
Two aspects are taken into account when the intelligent online monitoring grid transmission design of oil depot leakage.On the one hand, it drops as far as possible
The computational load of low server end.Since the monitoring system that we design is intelligence system, need to carry out in center server
The analysis such as artificial intelligence, data mining.Therefore, the unnecessary operation of server end should move on to live end and complete.On the other hand, it protects
The safety of Transmission system entirety is demonstrate,proved, i.e., any live end is broken down, and does not influence the normal operation of entire transmission network.It is comprehensive
It closes and considers, present system should use client computer (Client)/server (Server) framework, abbreviation C/S framework.
By investigating and testing, in present system C/S architecture design, use udp protocol (User Datagram Protocol)
As bottom transport protocol, carried out data transmission using Real-time Transport Protocol (real-time transport protocol), and (is passed in real time using rtcp protocol
Transport control protocol view) each member condition of data transmission procedure is monitored.We carry out live end (end Client) data
Subpackage is packaged, and storage receives that send data to monitoring center end (end Server) after transmission instruction slow to client-cache area
Area is deposited, subpackage is waited, unpacks.Network module C/S construction design specifically can be refering to situation shown in Fig. 7.Oil depot leakage intelligence exists
The overall network bulk Data Transfer Module of line monitoring system specifically can be refering to situation shown in Fig. 8.
Recycle big data, i.e., to high-volume database data carry out artificial intelligence analysis, make its to production process have compared with
Strong decision edge sees clearly ability and process optimization ability.The intelligent online monitoring system of oil depot leakage introduces big data theory, keeps away
Exempt from the monitoring data erroneous judgement at live end, and there is certain foresight to leakage accident.
In the present system, monitoring data and the work information acquisition that live end is transmitted can be summarized, utilizes data mining
Theory finds the rule between data, useful data information needed for search system intellectual analysis process.It is useful to can use these
Information, analog simulation many experiments fit leakage probability curve, calculate assessment leakage according to matched curve in real time monitoring
Probability.It can use the process that big data principle and data mining technology assess monitoring information, it can be refering to shown in Fig. 9
Situation.
Based on foregoing description, following functions are specifically may be implemented in the intelligent online monitoring system of oil depot leakage:
1) on-line monitoring and long-range control.It can check, inquire online, the latest data that obtains each oiling website, situation
With historical data situation.
2) alert process.There are four types of alarms: device failure alert, abnormal condition alarm, switchgear alarm, intelligent predicting
Alarm.Alert if can be flexibly set and bound with live and monitoring center staff mobile phone, short message, alarm bar is met
Automatically warning message is sent when part.
3) short message service.The form of alarm condition short message can be issued to staff, and monthly monitoring situation is converged
Always issue site administrators.
4) statistical query.A variety of condition query modes are provided, facilitates network operator to complete information and summarizes.
5) system administration.Some parameters, including rights management, constant management, equipment management etc. are set.
6) video data.Video monitoring system requires to realize the synchronization real-time Transmission of field image, can be in monitoring center
The big screen display of terminal realizes the functions such as transmission, display, storage, the playback of image by monitoring center, to leak emergency processing
Carry out services.
By above-mentioned application, the oil depot monitoring method and system for demonstrating the offer of the application embodiment can solve really
Acquisition data cannot be made full use of present in existing method, cannot be leaked the technical issues of carrying out accurate early warning to oil depot, be reached
To acquisition data are made full use of, the technical effect of monitoring, prediction oil depot leakage accuracy is improved.
Although this application provides the method operating procedure as described in embodiment or flow chart, based on conventional or noninvasive
The means for the property made may include more or less operating procedure.The step of enumerating in embodiment sequence is only numerous steps
One of execution sequence mode, does not represent and unique executes sequence.It, can when device or client production in practice executes
To execute or parallel execute (such as at parallel processor or multithreading according to embodiment or method shown in the drawings sequence
The environment of reason, even distributed data processing environment).The terms "include", "comprise" or its any other variant are intended to contain
Lid non-exclusive inclusion, so that process, method, product or equipment including a series of elements are not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, product or equipment
Intrinsic element.In the absence of more restrictions, be not precluded include the process, method of the element, product or
There is also other identical or equivalent elements in person's equipment.
Device that above-described embodiment illustrates or module etc. can specifically realize by computer chip or entity, or by having
There is the product of certain function to realize.For convenience of description, it is divided into various modules when description apparatus above with function to retouch respectively
It states.Certainly, the function of each module can be realized in the same or multiple software and or hardware when implementing the application,
The module for realizing same function can be realized by the combination of multiple submodule etc..Installation practice described above is only
Schematically, for example, the division of the module, only a kind of logical function partition, can there is other draw in actual implementation
The mode of dividing, such as multiple module or components can be combined or can be integrated into another system, or some features can be ignored,
Or it does not execute.
It is also known in the art that other than realizing controller in a manner of pure computer readable program code, it is complete
Entirely can by by method and step carry out programming in logic come so that controller with logic gate, switch, specific integrated circuit, programmable
Logic controller realizes identical function with the form for being embedded in microcontroller etc..Therefore this controller is considered one kind
Hardware component, and the structure that the device for realizing various functions that its inside includes can also be considered as in hardware component.Or
Person even, can will be considered as realizing the device of various functions either the software module of implementation method can be hardware again
Structure in component.
The application can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure, class etc..The application can also be practiced in a distributed computing environment, in these distributed computing environments,
By executing task by the connected remote processing devices of communication network.In a distributed computing environment, program module can
To be located in the local and remote computer storage media including storage equipment.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
It realizes by means of software and necessary general hardware platform.Based on this understanding, the technical solution essence of the application
On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product
It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment
(can be personal computer, mobile terminal, server or the network equipment etc.) executes each embodiment of the application or implementation
Method described in certain parts of example.
Each embodiment in this specification is described in a progressive manner, the same or similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.The application can be used for crowd
In mostly general or special purpose computing system environments or configuration.Such as: personal computer, server computer, handheld device or
Portable device, laptop device, multicomputer system, microprocessor-based system, set top box, programmable electronics set
Standby, network PC, minicomputer, mainframe computer, distributed computing environment including any of the above system or equipment etc..
Although depicting the application by embodiment, it will be appreciated by the skilled addressee that the application there are many deformation and
Variation is without departing from spirit herein, it is desirable to which the attached claims include these deformations and change without departing from the application.
Claims (13)
1. a kind of oil depot monitoring method characterized by comprising
Client acquires the status data of oil depot to be monitored；
The first result data is determined according to the status data, wherein first result data is used to indicate whether to seep
Leakage；
The status data is sent to server end；
Receive the second result data that the server end is sent；
Using first result data and second result data as monitoring of leakage result；
Wherein, second result data is that the server end determines in the following way:
According to the status data, corresponding multiple Matching Models are determined from multiple preset models；
Respectively according to the multiple Matching Model and the status data, multiple fitting parameters are determined；
According to the multiple fitting parameter and the status data, percolation ratio probability curve is established；
According to the percolation ratio probability curve, second result data is obtained.
2. the method according to claim 1, wherein the status data includes at least one of: in air
The default content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the oil depot appendix bimetallic tube wall pressure
The inner tubal wall pressure of poor, the described oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix, the oil depot work information.
3. according to the method described in claim 2, it is characterized in that, including presetting organic matter in air in the status data
In the case where content data, the status data of the acquisition oil depot to be monitored, comprising:
The content data that detector acquires default organic matter in air is chemically examined by photoion built-in in the client；
Containing for organic matter is preset in air alternatively, chemically examining detector by the external photoion being connected with the client and acquiring
Measure data.
4. according to the method described in claim 3, it is characterized in that, acquiring the status data of oil depot to be monitored in the client
Before, the method also includes:
Photoion chemical examination detector is calibrated.
5. the method according to claim 1, wherein acquiring the status data of oil depot to be monitored in the client
Later, the method also includes:
Reject the invalid data in the status data；
Using the status data after rejecting invalid data as the first data；
Correspondingly, determining the first result data according to the status data, comprising: determine described first according to first data
Result data；
The status data is sent to server end, comprising: first data are sent to the server end.
6. the method according to claim 1, wherein the monitoring of leakage result includes at least one of: oil
There are the prompting messages of risk of leakage for the instruction information and oil depot that warning message that library leaks, oil depot do not leak.
7. a kind of oil depot monitoring method characterized by comprising
The status data that received server-side client is sent；
According to the status data, the second data are obtained；
According to second data, determine the second result data, wherein second result data be used to indicate it is following at least it
One: the probability and leakage cause that leakage whether occurs, leaks；
Second result data is sent to the client；
Wherein, according to second data, the second result data is determined, comprising:
According to multiple status datas in second data, corresponding multiple Matching Models are determined from multiple preset models；
Respectively according to multiple status datas in the multiple Matching Model and second data, multiple fitting parameters are determined；
According to the multiple fitting parameter and second data, percolation ratio probability curve is established；
According to the percolation ratio probability curve, second result data is obtained.
8. the method according to the description of claim 7 is characterized in that the status data includes at least one of: in air
The default content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the oil depot appendix bimetallic tube wall pressure
The inner tubal wall pressure of poor, the described oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix, the oil depot work information.
9. the method according to the description of claim 7 is characterized in that determining the second result data according to second data
Before, the method also includes:
Server end obtains multiple sample datas, establishes multiple sample data models；
The multiple sample data model is trained, the sample data model after obtaining multiple training is as the multiple pre-
If model.
10. the method according to the description of claim 7 is characterized in that determining the second result data according to second data
Later, the method also includes:
The leakage information of each oil depot is generated at each oil depot position in preset electronic map, wherein the leakage information
Including at least one of: the instruction information and the oil depot that warning message that the oil depot leaks, the oil depot do not leak
There are the prompting messages of risk of leakage.
11. a kind of oil depot monitoring method characterized by comprising
Client acquires the status data of oil depot to be monitored, wherein the status data includes at least one of: pre- in air
If the double-layer tube wall pressure difference of the double-layer tube wall pressure difference of the content data of organic matter, the oil depot petroleum pipeline, the oil depot appendix,
The inner tubal wall pressure of the oil depot petroleum pipeline, the work information of the inner tubal wall pressure of the oil depot appendix, the oil depot；
Client determines the first result data according to the status data, wherein first result data is used to indicate whether
It leaks；
The status data is sent to server end by client；
Server end determines the second result data according to the status data, wherein second result data be used to indicate with
It is at least one lower: the probability and leakage cause that leakage whether occurs, leaks；
Client is using first result data and second result data as monitoring of leakage result；
Wherein, server end determines the second result data according to the status data, comprising:
According to the status data, corresponding multiple Matching Models are determined from multiple preset models；
Respectively according to the multiple Matching Model and the status data, multiple fitting parameters are determined；
According to the multiple fitting parameter and the status data, percolation ratio probability curve is established；
According to the percolation ratio probability curve, second result data is obtained.
12. a kind of Inspecting System for Oil Depot characterized by comprising client and server end, wherein
The client includes:
Acquisition module, for acquiring the status data of oil depot to be monitored, wherein the status data includes at least one of:
In air preset the content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the oil depot appendix bilayer
Tube wall pressure difference, the inner tubal wall pressure of the oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix, the operating condition of the oil depot
Information；
First sending module, for the status data to be sent to the server end；
First determining module, for determining the first result data according to the status data, wherein first result data is used
In indicating whether to leak；
First receiving module, the second result data sent for receiving the server end；
Display module, for using first result data and second result data as monitoring of leakage result；
The server end includes:
Second receiving module, the status data sent for receiving the client；
Second determining module, for determining the second result data according to the status data, wherein second result data is used
In instruction at least one of: the probability and leakage cause that leakage whether occurs, leaks；
Second sending module, for second result data to be sent to the client；
Wherein, second determining module is specifically used for according to the status data, and determination is corresponding from multiple preset models
Multiple Matching Models；Respectively according to the multiple Matching Model and the status data, multiple fitting parameters are determined；According to described
Multiple fitting parameters and the status data, establish percolation ratio probability curve；According to the percolation ratio probability curve, obtain described
Second result data.
13. system according to claim 12, which is characterized in that the server end further include:
Map display module, for generating the leakage information of each oil depot at oil depot each in preset electronic map position,
Wherein, the leakage information includes at least one of: warning message that the oil depot leaks, the oil depot do not leak
Indicate that there are the prompting messages of risk of leakage with the oil depot for information.
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| CN110458123A (en) * | 2019-08-15 | 2019-11-15 | 成都睿晓科技有限公司 | A kind of gas station's efficiency of service intelligent analysis system based on video monitoring |
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