CN106768652A - 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 111
- 238000012544 monitoring process Methods 0.000 title claims abstract description 97
- 239000005416 organic matter Substances 0.000 claims description 41
- 239000003208 petroleum Substances 0.000 claims description 24
- 241001269238 Data Species 0.000 claims description 12
- 238000013499 data model Methods 0.000 claims description 11
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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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, the method is comprised the following steps：Client gathers the status data of oil depot to be monitored；First result data is determined according to status data, wherein, the first result data is used to indicate whether seepage；Status data is sent to server end；The second result data that the reception server end sends；Using the first result data and the second result data as monitoring of leakage result.Because the program is processed status data using server end by artificial intelligence analysis, the second result data is obtained, and then monitoring of leakage result is drawn according to the first result data and the second result data.Therefore solve and can not make full use of gathered data present in existing oil depot monitoring method, it is impossible to the technical problem of Accurate Prediction is carried out to oil depot seepage, has been reached and has been made full use of gathered data, improve monitoring, the technique effect of the prediction oil depot seepage degree of accuracy.
Description
Technical field
The application is related to environment monitoring techniques field, more particularly to a kind of oil depot monitoring method and system.
Background technology
In actual production life, the security situation of oil depot is extremely important.For example, if can not send out in time in actual production
, can there is very big potential safety hazard, in some instances it may even be possible to serious production accident can be caused in existing oil depot seepage.Therefore, it is past during Specific construction
Toward needing to carry out real-time monitoring to the leakage scenarios of oil depot, to ensure oil storage safety, and for follow-up monitoring, decision-making provides reference according to
According to.
At present, the main oil depot monitoring method/device for using is preset typically just to some specific data in such as air
The content data of organic matter, is acquired and stores；Simply the data of collection and predetermined threshold value are done and is simply compared.And can not be right
The data of collection are effectively processed and analyzed.It is thus impossible to the contact between data is deeply excavated, can not be to future
The leakage scenarios of oil depot be predicted.
Therefore, existing oil depot monitoring method/device, often existing during specific implementation can not effectively utilize gathered data,
Accurate measurements and early warning can not be carried out to the seepage of oil depot, it is impossible to for the technology that follow-up decision provides effective reference frame is asked
Topic.
Regarding to the issue above, effective solution is not yet proposed at present.
The content 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
That puts presence can not effectively utilize gathered data, it is impossible to which the seepage to oil depot carries out accurate measurements and early warning, it is impossible to be determined for follow-up
Plan provides the technical problem of effective reference frame.
The embodiment of the present application provides a kind of oil depot monitoring method, including：
Client gathers the status data of oil depot to be monitored；
First result data is determined according to the status data, wherein, first result data is used to indicate whether hair
Raw seepage；
The status data is sent to server end；
Receive the second result data that the server end sends；
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 oil depot work information.
In one embodiment, the situation of the content data of organic matter is preset in the status data includes air
Under, the status data of the collection oil depot to be monitored, including：
The content data that detector gathers default organic matter in air is chemically examined by photoion built-in in the client；
Or, chemically examined during detector gathers air by the external photoion being connected with the client and preset organic matter
Content data.
In one embodiment, before the status data that the client gathers oil depot to be monitored, methods described is also
Including：
Photoion chemical examination detector is calibrated.
In one embodiment, after the status data that the client gathers oil depot to be monitored, methods described is also
Including：
Reject the invalid data in the status data；
The status data after invalid data as the first data will be rejected；
Accordingly, the first result data is determined according to the status data, including：The client is according to the described first number
According to determination first result data；
The status data is sent to server end, including：By first data is activation to the server end.
In one embodiment, the monitoring of leakage result includes at least one of：There is the warning of seepage in oil depot
There is no the configured information of seepage in information, oil depot and oil depot has the prompting message of risk of leakage.
Present invention also provides another oil depot monitoring method, including：
The status data that received server-side client sends；
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 for indicate it is following extremely
It is one of few：Whether there is seepage, the probability and leakage cause of seepage occur；
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 oil depot work information.
In one embodiment, according to second data, the second result data is determined, including：
According to the multiple status datas in second data, corresponding multiple matching moulds are determined from multiple preset models
Type；
Multiple status datas in the multiple Matching Model and second data respectively, it is determined that multiple fitting ginsengs
Number；
According to the multiple fitting parameter and second data, the percolation ratio probability curve is set up；
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, methods described is also wrapped
Include：
Server end obtains multiple sample datas, obtains multiple sample data models；
The multiple sample data model is trained, the sample data model after multiple training is obtained as described many
Individual preset model.
In one embodiment, according to second data, determine after the second result data, methods described is also wrapped
Include：
The seepage information of each oil depot is generated at each oil depot position in default electronic map, wherein, the seepage
Information includes at least one of：There is the warning message of seepage, the oil depot and the configured information of seepage do not occur and is somebody's turn to do in the oil depot
There is the prompting message of risk of leakage in oil depot.
This application provides another oil depot monitoring method, including：
Client gathers the status data of oil depot to be monitored, wherein, the status data includes at least one of：Air
In preset organic matter content data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the double-layer tube wall of the oil depot appendix
The operating mode 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 seepage there is；
Client sends to server end the status data；
Server end determines the second result data according to the status data, wherein, second result data is used to refer to
Show at least one of：Whether there is seepage, the probability and leakage cause of seepage occur；
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 additionally provides a kind of Inspecting System for Oil Depot, including：Client and
Server end, wherein,
The client includes：
Acquisition module, the status data for gathering oil depot to be monitored, wherein, the status data include it is following at least it
One：Preset in air the content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the oil depot appendix it is double
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 be used to indicate whether occur seepage；
First receiver module, for receiving the second result data that the server end sends；
Display module, for using first result data and second result data as monitoring of leakage result；
The server end includes：
Second receiver module, for receiving the status data that the client sends；
Second determining module, for determining the second result data according to the status data, wherein, second number of results
According to for indicating at least one of：Whether there is seepage, the probability and leakage cause of seepage occur；
Second sending module, for second result data to be sent to the client.
In one embodiment, the server end also includes：
Map display module, the seepage for generating each oil depot at each oil depot position in default electronic map is believed
Breath, wherein, the seepage information includes at least one of：There is the warning message of seepage, the oil depot and ooze in the oil depot
There is the prompting message of risk of leakage in the configured information of leakage and the oil depot.
In the embodiment of the present application, it 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, with reference to server end
With the analysis result of both clients, the situation of oil depot to be monitored is determined.Because the analysis of server end and disposal ability are often
It is better than client.Therefore, the method for being provided by the embodiment of the present application can solve existing only to enter by client
The result that row monitoring is analyzed and existed is inaccurate, and data user rate is relatively low, it is impossible to the technical problem being predicted to oil depot seepage,
The technique effect for effectively improving monitoring result accuracy is reached.
Brief description of the drawings
In order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments described in application, for those of ordinary skill in the art, are not paying the premise of creative labor
Under, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of oil depot monitoring method process chart according to the embodiment of the present application；
Fig. 2 is another oil depot monitoring method process chart according to the embodiment of the present application；
Fig. 3 is the process chart of another the oil depot monitoring method according to the embodiment of the present application；
Fig. 4 is the composition structure chart of the Inspecting System for Oil Depot according to the embodiment of the present application；
Fig. 5 is mechanism's block diagram of the oil depot leaking substance of the oil depot monitoring method/system provided using the embodiment of the present application；
Fig. 6 is the VOC of the oil depot monitoring method/system provided using the embodiment of the present applicationSMonitoring modular system architecture shows
It is intended to；
Fig. 7 is the server/visitor of the network transmission module of the oil depot monitoring method/system provided using the embodiment of the present application
Family end design frame chart；
Fig. 8 is the network transmission module design diagram of the oil depot monitoring method/system provided using the embodiment of the present application；
Fig. 9 is artificial intelligence analysis' schematic flow sheet of the oil depot monitoring method/system provided using the embodiment of the present application.
Specific embodiment
In order that those skilled in the art more fully understand the technical scheme in the application, below in conjunction with the application reality
The accompanying drawing in example is applied, the technical scheme in the embodiment of the present application is clearly and completely described, it is clear that described implementation
Example is only some embodiments of the present application, rather than whole embodiments.Based on the embodiment in the application, this area is common
The every other embodiment that technical staff is obtained under the premise of creative work is not made, should all belong to the application protection
Scope.
In view of existing oil depot monitoring method, due to can only typically gather and store specific data, and then can only be in visitor
Specific data are simply compared at family end with predetermined threshold value, therefore can not effectively, fully utilize and process gathered data, lead
When causing Specific construction, existing can not effectively utilize gathered data, it is impossible to which the seepage to oil depot carries out accurate measurements and early warning, it is impossible to
The technical problem of effective reference frame is provided for follow-up decision.For the basic reason for producing above-mentioned technical problem, the application
Consideration first can gather specific data by client, while the first result data is drawn according to specific data by client,
Specific data are sent to by server end by client；Server end is goed deep into by artificial intelligence analysis to above-mentioned data
Sufficiently analyzing and 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 result, for follow-up decision provides reference frame.Exist not so as to solve existing oil depot monitoring method/device
Gathered data can effectively be utilized, it is impossible to which the seepage to oil depot carries out accurate measurements and early warning, it is impossible to for follow-up decision is provided effectively
Reference frame technical problem.Reached fully, effectively using specific data, improve to the monitoring of oil depot leakage scenarios and early warning
The technique effect of the degree of accuracy.
Based on above-mentioned thinking thinking, the application provide firstly a kind of oil depot monitoring method.Refer to Fig. 1.The application reality
The use of the client that the mode of applying is provided, may comprise steps of.
Step 101：Client gathers the status data of oil depot to be monitored.
In an implementation method, in order to the leakage scenarios to oil depot carry out overall monitor, accurate judgement, can gather to be measured
One or more related data in oil depot preset range as oil depot status data.That is, described status data specifically can be with
Including at least one of：The content data of organic matter, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, described is preset 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 inner tube wall pressure of the oil depot appendix
The work information of power and the oil depot.During specific implementation, can as the case may be, with any one or more combination therein
As the status data to be gathered.It should be noted that the work information of the oil depot can be specifically 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 beyond the inner tubal wall pressure of oil depot petroleum pipeline and the inner tubal wall pressure of the oil depot appendix is stated, for example may be used
Being environmental information near state report and oil depot that the temperature of oil depot, oil depot staff submit to etc..
In one embodiment, the content data of the default organic matter can be specifically VOCs (Volatile
Organic Compounds, the abbreviation of volatile organic matter) content data.During specific implementation, can be according to the specific of oil depot
Situation or the specific requirement of monitoring and early warning, select one or more as default organic from various volatile organic matters
Thing, the content data to presetting organic matter is acquired.In this regard, the application is not construed as limiting.
In one embodiment, when the status data includes being preset in air the content data of organic matter, client
The content data that default organic matter is obtained to gather is held, can be by pre- in built-in photoion chemical examination detector collection air
If the content data of organic matter；Can also, detector is chemically examined by the external photoion being connected with the client and gathers empty
The content data of organic matter is preset in gas.It should be noted that it is above-mentioned for gather the light of the content data of default organic matter from
Son chemical examination detector can be integrated with a part for client, it is also possible to be independently of client, but with client by having
Line is wirelessly connected, and the collecting device controlled by client.
In one embodiment, in order to gather and the content data that organic matter is preset in accurate air is obtained, in institute
Before stating the content data of default organic matter in collection air, methods described can also include：The photoion is chemically examined and is detected
Device is calibrated.Wherein, photoion chemical examination detector being calibrated can specifically include：Gas and/or zero gas.Certainly, on
State the two kinds of calibrating modes enumerated to be intended merely to that present embodiment is better described, other calibrating modes can also be included.Tool
When body is implemented, suitable calibrating mode can be as the case may be selected.In this regard, the application is not construed as limiting.
Step 102：First result data is determined according to the status data, wherein, first result data is used to refer to
Show whether seepage occurs.
In one embodiment, it is described to determine that the first result data be to status data or according to status data
After one data carry out preliminary treatment, the result data for indicating whether seepage for drawing.For example, can be oozed according to common oil depot
Leakage situation, pre-sets a content threshold value.First result data is determined according to the status data, particularly as can be by 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：Generation seepage.If status number
Content threshold value is less than according to numerical value, it is determined that the first result data is：Generation seepage.Certainly, above-mentioned cited determination first
The method of result data is intended merely to that present embodiment is better described, and during specific implementation, can with concrete condition and specifically
Other suitable methods of design are sought according to preliminary treatment is carried out to status data or the first data, to 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 operating efficiency of server end is improved,
Acquire after the status data of oil depot to be detected, sent to before server end by the status data of oil depot to be monitored, institute
The method of stating can also include：
S1：Reject the invalid data in the status data；
S2：The status data after invalid data as the first data will be rejected.
Accordingly, subsequent client sends to server end the status data, it is possible to be by first data
Send to the server end.Equally, accordingly, subsequent client determines the first result data according to the status data, just
Can be that client determines first result data according to first data.
In one embodiment, in order to server end status data, client and server end can pass through
Wired or wireless internet is connected.The C/S network architectures can be used, line number is entered using Real-time Transport Protocol (RTP)
According to transmission, and each member condition of data transmission procedure is monitored using rtcp protocol (RTCP Real-time Transport Control Protocol).For
Ensure security, stability and the reliability of data real-time, interactive processes, 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 is sent to clothes status data by temporary storage
, there is the wind that data are omitted or lost when directly transmitting status data by client so as to reduce in business device end
Danger, improves security, stability and the reliability of data transmission procedure.Certainly, server end can also be by similar side
Formula, for example, the second result data first can be buffered in a temporary storage, then by temporary storage by the second number of results
According to transmission to client.Also, it should be noted that by the mechanism, with reference to video monitoring subsystem can realize Surveillance center by
Overall monitor of the point to face.When needing to carry out real-time speech data at client and server end or video data is interacted, example
Such as, staff sends to server end the image of making video recording of oil depot monitor in real time situation, and Surveillance center will be according to server
When holding the implementing monitoring situation for receiving to make voice instruction, by the caching mechanism, can be by view data and speech data elder generation
It is buffered in temporary storage, is having temporary storage to send to corresponding server end or client, it is right such that it is able to realize
The monitor in real time and remote command of oil depot field condition.
Step 104：Receive the second result data that the server end sends.
Step 105：Using first result data and second result data as monitoring of leakage result.
In one embodiment, the monitoring of leakage result can include at least one of：There is seepage in oil depot
There is no the configured information of seepage in warning message, oil depot and oil depot has the prompting message of risk of leakage.That is, server end can be with
According to the first result data and the second result data, by built-in display or external display device, display seepage prison
Survey result.Wherein, the monitoring of leakage result, can be individually that warning message, the oil depot of oil depot generation seepage ooze
There is the prompting message, or any two or three of above-mentioned configured information of risk of leakage in the configured information and oil depot of leakage
Combination.For example, according to the first result data, indicating the oil depot that seepage does not occur；According to the second result data, the oil depot is indicated to deposit
In the danger that seepage occurs, and the following probability that seepage occurs is very high, and the probability that seepage occurs is 70%.Client can be combined
Above-mentioned the first result data and the second result data shows final monitoring of leakage result：The oil depot not yet oozes at present
Leakage, but there is seepage in the probability that future has 70%.At the same time it can also show corresponding prompting message or early 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 method, can be refering to figure
2.The oil depot monitoring method that the application implementation method is provided, specifically may comprise steps of.
Step 201：The status data that received server-side client sends.
In the present embodiment, the status data can include at least one of：Containing for organic matter is preset in air
Amount 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
Internet connection wired or wireless between the end of family.Certainly, if client transmission is first obtained by pretreatment
Data, corresponding the receiving of server end is also the first data here.
Step 202：According to the status data, the second data are obtained.
In one embodiment, in order to subsequently can effectively carry out artificial intelligence analysis, server end also needs to docking
The status data of receipts is pre-processed, and obtains the second data.Wherein, the pretreatment can include：S1：Reject the status number
Invalid data in；S2：The status data after invalid data as the second data will be rejected.Can also also include：S3：To place
The second data after reason are corrected, using correction after the second data as second data.Certainly, it is above-mentioned the step of enumerate
It is intended merely to that process of the server end to the pretreatment of status data is better described.During specific implementation, can also be according to specific
Situation design increases other pre-treatment steps, and status data is further processed, and obtains the second data.
Step 203：According to second data, the second result data is determined, wherein, second result data is used to refer to
Show at least one of：Whether there is seepage, the probability and leakage cause of seepage occur.
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 according to following steps using artificial intelligence analysis.
S1：According to the multiple status datas in second data, corresponding multiple are determined from multiple preset models
With model.Can be specifically, according to multiple status datas in second data, to determine from multiple preset models corresponding many
Individual Matching Model, wherein, the multiple Matching Model is corresponding with multiple status data in second data respectively
Status data difference value be less than predetermined threshold value；
S2：Respectively according to corresponding status data in the multiple Matching Model and second data, it is determined that multiple intend
Close parameter；
S3：According to the multiple fitting parameter and second data, the percolation ratio probability curve is set up；
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 set up 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：The multiple sample data model is trained, the sample data model after multiple training is obtained as institute
State multiple preset models.
In one embodiment, second result data can be server end according to the second data by artificial intelligence
Whether what energy analysis was obtained there is the judgement data of seepage, or server end to the oil depot according to preset model to the oil
There are the probability analysis data of seepage, or seepage or the following possibility original that seepage occurs occur to the oil depot in storehouse future
Cause and the analyze data of position, can also be that the corresponding early warning that accordingly server end sends indicates data.Certainly,
Second data can be in one kind, or above-mentioned various data in above-mentioned various data it is arbitrary two or more.Tool
Body can 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, according to the first result data, the second result data and live findings data by artificial intelligence
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, certain model in the weight or the multiple preset models of adjustment of some parameters in adjustment correspondence preset model
Weight, or deletion error serious preset model or relevant parameter.And then raising server end determines the second result data
The degree of accuracy.
Step 204：Second result data is sent to the client.
In the present embodiment, server end pass through the internet that wirelessly or non-wirelessly connects by the second result data send to
Client.
In one embodiment, in order to the result that server end analysis is obtained intuitively is presented into Surveillance center people
Member, so that Surveillance center personnel are according to the concrete condition of each oil depot in area under one's jurisdiction, is carried out at unified scheduling or formulation entirety
Reason strategy.Sent to client by the second result data, methods described can also include：In default electronic map
The seepage information of each oil depot is generated at each oil depot position, wherein, the seepage information includes at least one of：The oil depot
There is the warning message of seepage, the configured information of seepage the oil depot does not occur and the oil depot has the prompting message of risk of leakage.
It should be noted that the seepage information that above-mentioned generation shows can be the single oil depot there is warning message, the oil of seepage
There is no one, or the above- mentioned information that the configured information of seepage or the oil depot are present in the prompting message of risk of leakage in storehouse
Middle any two or the combination of three, can also be other relevant informations for obtaining as the case may be.During specific implementation, service
Device end can utilize GIS (Geographic Information System, the abbreviation of GIS-Geographic Information System) and database interface
Function, it is directly perceived on the electronic map to generate visualizing monitor data and early warning probability icon.
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 synthesis is based on the oil depot monitoring method of above-mentioned client and service end.Fig. 3 is referred to, specifically be may comprise steps of.
Step 301：Client gathers the status data of oil depot to be monitored.
In one embodiment, the status data can 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 of organic matter is preset in client collection air, can be included：By interior
The content data of organic matter is preset in the photoion chemical examination detector collection air put；Or, it is connected by with the client
External photoion chemical examination detector collection air in preset the content data of organic matter.Wherein, the default organic matter can
Being one or more in volatile organic matter in air.
In one embodiment, before the content data for presetting organic matter in gathering air, methods described also includes
Photoion chemical examination detector is calibrated.Wherein, calibration can include 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 seepage.
Step 303：Client sends to server end the status data.
In one embodiment, client is sent to before server end by status data, can first to status number
According to being pre-processed, to reduce the workload of server end.Can specifically include：Reject the invalid number in the status data
According to；The status data after invalid data as the first data will be rejected；Accordingly, the status data is sent to server
End, including：By first data is activation to the server end；Accordingly, the first result is determined according to the status data
Data, including：The client determines first result data according to first data.
In one embodiment, client is connected by internet wirelessly or non-wirelessly with server end, by the company
Tap into row data interaction.In order to improve security, stability and the reliability of data exchange process, in above-mentioned connected mode also
Introduce caching mechanism.In the present embodiment, client is sent to server end status data by internet.
Step 304：Server end determines the second result data according to the status data, wherein, second number of results
According to for indicating at least one of：Whether there is seepage, the probability and leakage cause of seepage occur.
In one embodiment, the second result data is determined according to the status data, can be specifically included：
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 data in second data
The difference value of data is less than predetermined threshold value；
S2：Respectively according to corresponding status data in the multiple Matching Model and second data, it is determined that multiple intend
Close parameter；
S3：According to the multiple fitting parameter and second data, the percolation ratio probability curve is set up；
S4：According to the percolation ratio probability curve, second result data is obtained.
In one embodiment, before the second result data is determined according to the status data, methods described may be used also
To include：
S1：Server end obtains multiple sample datas；
S2：The multiple sample data model is trained, the model after multiple training is obtained 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 can include at least one of：There is seepage in oil depot
There is no the configured information of seepage in warning message, oil depot and oil depot has the prompting message of risk of leakage.
In one embodiment, sent to client by the second result data, methods described can also include：
The seepage information of each oil depot is generated at each oil depot position in default electronic map, wherein, the seepage information includes
At least one of：There is the warning message of seepage, the oil depot and the configured information of seepage and oil depot presence do not occur in the oil depot
The prompting message of risk of leakage.Each local oil depot is managed collectively such that it is able to the staff for Surveillance center
Reference frame is provided with follow-up strategy.Such that it is able to by the status data and analysis result data of local each oil depot intuitively
Show so that the staff of Surveillance center carries out unified scheduling and treatment according to the overall condition in area under one's jurisdiction, be follow-up 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 implementation method is provided can
Specific status data is gathered 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 seepage；Simultaneously by server end according to particular state data, by artificial intelligence
Analysis, obtains the second result data, wherein, the second result data can serve to indicate that at least one of：Whether occur seepage,
There is the probability and leakage cause of seepage；Finally according to the first result data and the second result data, monitoring of leakage result is obtained.
Solve that existing oil depot monitoring method/device is present can not effectively using the status data for collecting, it is impossible to oil depot
Seepage carries out accurate measurements and early warning, it is impossible to the technical problem of effective reference frame is provided for follow-up decision.Reached fully,
Particular state data are effectively utilized, the technique effect to the monitoring of oil depot leakage scenarios and the early warning degree of accuracy is improved.
A kind of Inspecting System for Oil Depot is additionally provided based on same inventive concept, in the embodiment of the present invention, such as following implementation
Example is described.Because the principle of device solve problem is similar to oil depot monitoring method, therefore the implementation of Inspecting System for Oil Depot can be joined
See the implementation of oil depot monitoring method, repeat part and repeat no more.Used below, term " unit " or " module " can be real
The combination of the software and/or hardware of existing predetermined function.Although the system and device described by following examples is preferably come with software
Realize, but hardware, or the realization of the combination of software and hardware is also that may and be contemplated.Fig. 4 is referred to, is the present invention
A kind of composition structure chart of the Inspecting System for Oil Depot that embodiment is provided, the system can include：Client 41 and server end 42,
Wherein, client 41 can include again：Acquisition module 411, the first sending module 412, the first determining module 413, first receives
Module 414 and display module 415；Server end 42 can include again：Second receiver module 421, the second determining module 422 and
Two sending modules 423.The structure is specifically described below.
The client 41 can include：
Acquisition module 411, the status data for gathering oil depot to be monitored.
In one embodiment, the status data can 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 seepage.
First receiver module 414, for receiving the second result data that the server end sends.
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 can include at least one of：There is the police of seepage in oil depot
There is no the configured information of seepage in announcement information, oil depot and oil depot has the prompting message of risk of leakage.
The server end 42 can include.
Second receiver module 421, for receiving the status data that the client sends.
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：Whether there is seepage, the probability and leakage cause of seepage occur.
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
Connect, 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 implementation method is
Improve security, stability and the reliability of data exchange process, in above-mentioned connected mode 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 is activation is to server end 42.Equally, server end 42 is sent to the data of client 41 also first by a temporary storage
Receive and store, then corresponding client 41 is sent data to by the temporary storage.It is thus possible to reduce data in transmission
During lose or damage risk, improve security, stability and the reliability of data transfer.
In one embodiment, the acquisition module 411 is by built-in photoion chemical examination detector collection air
The content data of default organic matter；Or, detector is chemically examined by the external photoion being connected with acquisition module 411 and gathers empty
The content data of organic matter is preset in gas.Wherein, default organic matter can be the one kind or several in volatile organic matter in air
Kind.
The client 41 can also include the first pretreatment module, for rejecting the invalid number in the status data
According to, and the status data after invalid data as the first data will be rejected.Accordingly, the first sending module 412 can be described
First data are replaced above-mentioned status data and are sent to the server end.Equally, accordingly, the first determining module 413 can be with institute
State the first data and determine first result data.
In one embodiment, the second determining module 422 is according to status data in order to determine the second result data, specifically
Following subelement can be included.
Coupling subelement, for according to multiple status datas in second data, it to be right to determine from multiple preset models
The multiple Matching Models answered, wherein, the multiple Matching Model respectively with multiple status data in second data in one
The difference value of individual corresponding status data is less than predetermined threshold value；
First determination subelement, for respectively according to corresponding state in the multiple Matching Model and second data
Data, it is determined that multiple fitting parameters；
Second determination subelement, for according to the multiple fitting parameter and second data, setting up the percolation ratio
Probability curve；
3rd determination subelement, for according to the percolation ratio probability curve, obtaining second result data.
In one embodiment, second result data can be server end according to the second data by artificial intelligence
Whether what energy analysis was obtained there is the judgement data of seepage, or server end to the oil depot according to preset model to the oil
There are the probability analysis data of seepage, or seepage or the following possibility original that seepage occurs occur to the oil depot in storehouse future
Cause and the analyze data of position, can also be that the corresponding early warning that accordingly server end sends indicates data.Certainly,
Second data can be in one kind, or above-mentioned various data in above-mentioned various data it is arbitrary two or more.Tool
Body can 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, according to the first result data, the second result data and live findings data by artificial intelligence
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, in adjustment correspondence preset model in the weight or the multiple preset models of adjustment of some parameters certain model power
Weight.And then the 3rd determination subelement of the second determining module 422 in server end 42 can be improved determine the second result data
The degree of 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 multiple training is obtained 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 after being processed is used as the status data.Wherein, the pretreatment can be wrapped
Include：Reject 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 default electricity
The seepage information of each oil depot is generated in sub- map at each oil depot position, wherein, the seepage information include it is following at least it
One：There is the warning message of seepage in the oil depot, the configured information of seepage the oil depot does not occur and the oil depot has risk of leakage
Prompting message.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Divide mutually referring to what each embodiment was stressed is the difference with other embodiment.Especially for system reality
Apply for example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
It should be noted that system, device, module or unit that above-mentioned implementation method is illustrated, specifically can be by computer
Chip or entity are realized, or are realized by the product with certain function.For convenience of description, in this manual, retouch
It is divided into various units with function when stating apparatus above to describe respectively.Certainly, can be the function of each unit when the application is implemented
Realized in same or multiple softwares and/or hardware.
Additionally, in this manual, adjective as such as first and second can be only used for an element or dynamic
Make to be made a distinction with another element or action, without requiring or implying any actual this relation or order.Permit in environment
Perhaps in the case of, in only element, part or step is should not be interpreted as limited to reference to element or part or step (s)
It is individual, and can be in element, part or step one or more etc..
As can be seen from the above description, the embodiment of the present application is provided oil depot monitoring method and system, can first lead to
Client collection 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 seepage；The stronger data processing performance of server end is recycled simultaneously, according to above-mentioned
Particular state data, by artificial intelligence analysis, obtain the second result data, wherein, the second result data can serve to indicate that
At least one of：Whether there is seepage, the probability and leakage cause of seepage occur；Finally according to the first result data and second
Result data, obtains monitoring of leakage result.Can not effectively utilizing for existing oil depot monitoring method/device presence is solved to gather
The status data for arriving, it is impossible to which the seepage to oil depot carries out accurate measurements and early warning, it is impossible to for follow-up decision provides effective reference
The technical problem of foundation.Abundant, effective utilization particular state data are reached, have been improved to oil depot leakage scenarios monitoring precision,
Realize the technique effect of early warning；Status data or the first data are made full use of using artificial intelligence by server end, is divided
Analysis is processed, and improves the degree of accuracy of oil depot monitoring and early warning；Status data is pre-processed further through client, obtains first
Data, treatment is analyzed by the first data is activation to server end, reduces the workload of server end, improves server
The analyzing and processing efficiency at end；Further through server end each oil depot is generated at each oil depot position in default electronic map
Seepage information, intuitively shows Global Information, further for follow-up decision provides reference frame；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 systems in teachings herein, the monitoring result of oil depot seepage is obtained,
But, the application is not limited to be professional standard or the situation described by embodiment etc., some professional standards or makes
Above-described embodiment can also be realized with embodiment amended slightly in self-defined mode or the practice processes of embodiment description
The implementation result being anticipated that after identical, equivalent or close or deformation.Using these modification or deformation after data acquisition, treatment,
The embodiment of output, judgment mode etc., within the scope of still may belong to the optional embodiment of the application.
In a specific embodiment, a set of oil depot of oil depot monitoring method system design provided using the application oozes
The intelligent online monitoring system of leakage, the leakage scenarios to the multiple oil depots in certain region carry out real-time monitoring and early warning.
Refering to Fig. 5, the intelligent online monitoring system of oil depot seepage is main by live end VOCSDetection and analytical equipment, stabilization
Safety network transmission system, artificial intelligence hypothesis analysis system and on-line monitoring center composition.The system can be carried out automatically
Sampling, to VOCSMonitored on-line, seepage be analyzed and predicted.It is last data summarization to be carried out by Surveillance center, is arranged
And comprehensive analysis.
To ensure the accurate of Monitoring Data, the system needs periodically to mark live end analytical equipment with gas and zero gas
It is fixed.With VOC in PID sensor detection oil depot nearby airSContent, by A/D converter, transfers data to device analysis instrument
In.Using gas station's LAN, data signal is sent to on-site supervision center, and show in display device.Meanwhile, using mutual
Networking technology, reaches Surveillance center by the work information of Monitoring Data and the time in real time.Data monitor center utilizes artificial intelligence
Energy and data mining technology, intellectual analysis are carried out to Monitoring Data, and analysis result is carried out to feed back to execute-in-place end, with complete
Into leakage alarm and early warning.
Refering to Fig. 6, the module has VOC in collection gas sample, analysis airSThe work(such as content, preservation and transmission data
Energy.In the module, using PID (Photoionization Detector, photoion chemically examines the abbreviation of detector), 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 avoid such as oxygen, carbon monoxide, the interference of nitrogen common gas, in complex environment also only and organic matter it is anti-
Should, with stronger directive property.
The analog signal that PID is detected is arrived digital data transmission using the communication protocol of serial ports 485 by A/D converter
In calibrated device analysis instrument (Online Monitoring Control instrument), and monitoring point service will be transferred to after Monitoring Data arrangement calculating
Device.The data of server lead up to local network transport to control centre of gas station, lead up to the Internet transmission and are supervised to data
Control center.
The intelligent online monitoring system network transmission of oil depot seepage takes into account two aspects when designing.On the one hand, drop as far as possible
The computational load of low server end.Because the monitoring system that we design is intelligence system, it is necessary to be carried out in center server
Artificial intelligence, data mining etc. are analyzed.Therefore, the unnecessary computing of server end should move on to live end and complete.On the other hand, protect
The overall security of card Transmission system, i.e., any live end is broken down, and does not influence the normal operation of whole transmission network.It is comprehensive
Close and consider, present system should use client computer (Client)/server (Server) framework, abbreviation C/S frameworks.
By investigating and testing, in present system C/S architecture designs, use udp protocol (User Datagram Protocol)
As bottom host-host protocol, carried out data transmission using Real-time Transport Protocol (RTP), and (passed in real time using rtcp protocol
Transport control protocol is discussed) each member condition of data transmission procedure is monitored.We carry out live end (Client ends) data
Subpackage pack, deposit to client-cache area, receive transmission instruction after send data to Surveillance center end (Server ends) delay
Area is deposited, subpackage is waited, is unpacked.Mixed-media network modules mixed-media C/S construction design can specifically refer to situation shown in Fig. 7.Oil depot seepage intelligence exists
The overall network bulk Data Transfer Module of line monitoring system can specifically refer to situation shown in Fig. 8.
Recycle big data, i.e., artificial intelligence analysis are carried out to mass data database data, make its to production process have compared with
Strong decision edge, see clearly ability and process optimization ability.The intelligent online monitoring system of oil depot seepage introduces big data theory, keeps away
Exempt from the Monitoring Data erroneous judgement at live end, and there is certain foresight to seepage accident.
In the present system, the Monitoring Data and work information collection that can be transmitted live end collect, using data mining
Theory finds the rule between data, the useful data information needed for search system intellectual analysis process.Can be useful using these
Information, analog simulation many experiments fit seepage probability curve, and assessment seepage is calculated according to matched curve in monitor in real time
Probability.The process that big data principle and data mining technology can be utilized to be estimated monitoring information, can be refering to shown in Fig. 9
Situation.
Based on foregoing description, the intelligent online monitoring system of the oil depot seepage can specifically realize following functions：
1) on-line monitoring and remote control.Can online check, inquire about, obtaining latest data, the situation of each oiling website
With historical data situation.
2) alert process.Alarm has four kinds：Device failure alert, abnormal condition alarm, switchgear alarm, intelligent predicting
Alarm.Alert if can be flexibly set and bound with live and Surveillance center staff mobile phone, short message, meet alarm bar
Warning message is sent during part automatically.
3) short message service.The form of alarm condition short message can be issued staff, and monthly monitoring situation is converged
Always issue site administrators.
4) statistical query.Various condition query modes are provided, are facilitated network operator to complete information and is collected.
5) system administration.Some parameters are set, including rights management, constant management, equipment control etc..
6) video data.The synchronous real-time Transmission of field image is realized in video monitoring system requirement, can be in Surveillance center
The big screen display of terminal, the functions such as transmission, display, storage, the playback of image are realized by Surveillance center, are seepage emergency processing
Carry out services.
By above-mentioned application, the oil depot monitoring method and system for demonstrating the offer of the application implementation method can be solved really
Gathered data can not be made full use of present in existing method, it is impossible to the technical problem of accurate early warning is carried out to oil depot seepage, is reached
To gathered data is made full use of, monitoring, the technique effect of the prediction oil depot seepage degree of accuracy are improved.
Although this application provides the method operating procedure as described in embodiment or flow chart, based on conventional or noninvasive
The means of the property made can include more or less operating procedures.The step of being enumerated in embodiment order is only numerous steps
A kind of mode in execution sequence, unique execution sequence is not represented.When device or client production in practice is performed, can
Performed or executed in parallel (such as at parallel processor or multithreading with according to embodiment or method shown in the drawings order
The environment of reason, even distributed data processing environment).Term " including ", "comprising" or its any other variant be intended to contain
Lid nonexcludability is included, so that process, method, product or equipment including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, product or equipment
Intrinsic key element.In the absence of more restrictions, be not precluded from the process including the key element, method, product or
Also there are other identical or equivalent elements in person's equipment.
Device that above-described embodiment is illustrated or module etc., can specifically be realized 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 with function during description apparatus above to retouch respectively
State.Certainly, the function of each module can be realized in same or multiple softwares and/or hardware when the application is implemented,
Can will realize that the module of same function is realized by the combination of multiple submodule.Device embodiment described above is only
Schematically, for example, the division of the module, only a kind of division of logic function, can there is other drawing when actually realizing
The mode of dividing, such as multiple module or components can be combined or be desirably integrated into another system, or some features can be ignored,
Or do not perform.
It is also known in the art that in addition to realizing controller in pure computer readable program code mode, it is complete
Entirely can by by method and step carry out programming in logic come cause controller with gate, switch, application specific integrated circuit, may be programmed
Logic controller realizes identical function with the form of embedded microcontroller etc..Therefore this controller is considered one kind
Hardware component, and the device for realizing various functions included to its inside can also be considered as the structure in hardware component.Or
Person even, can be used to realizing that the device of various functions is considered as not only being the software module of implementation method but also can be hardware
Structure in part.
The application can be described in the general context of computer executable instructions, such as program
Module.Usually, program module includes performing particular task or realizes routine, program, object, the group of particular abstract data type
Part, data structure, class etc..The application can also be in a distributed computing environment put into practice, in these DCEs,
Task is performed by the remote processing devices connected by communication network.In a distributed computing environment, program module can
With in the local and remote computer-readable storage medium including including storage device.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can
Realized by the mode of software plus required general hardware platform.Based on such understanding, the technical scheme essence of the application
On the part that is contributed to prior art in other words can be embodied in the form of software product, the computer software product
Can store in storage medium, such as ROM/RAM, magnetic disc, CD, including some instructions are used to so that a computer equipment
(can be personal computer, mobile terminal, server, or network equipment etc.) performs each embodiment of the application or implementation
Method described in some parts of example.
Each embodiment in this specification is described by the way of progressive, same or analogous portion between each embodiment
Divide mutually referring to what each embodiment was stressed is the difference with other embodiment.The application can be used for crowd
In more general or special purpose computing system environments or configuration.For example：Personal computer, server computer, handheld device or
Portable set, laptop device, multicomputer system, the system based on microprocessor, set top box, programmable electronics set
Standby, network PC, minicom, mainframe computer, the DCE 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 have it is many deformation and
Change is without deviating from spirit herein, it is desirable to which appended claim includes these deformations and changes without deviating from the application.
Claims (14)
1. a kind of oil depot monitoring method, it is characterised in that including：
Client gathers the status data of oil depot to be monitored；
First result data is determined according to the status data, wherein, first result data is used to indicate whether to ooze
Leakage；
The status data is sent to server end；
Receive the second result data that the server end sends；
Using first result data and second result data as monitoring of leakage result.
2. method according to claim 1, it is characterised in that the status data includes at least one of：In air
Content data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the bimetallic tube wall pressure of the oil depot appendix of default organic matter
The inner tubal wall pressure of poor, described oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix, the work information of the oil depot.
3. method according to claim 2, it is characterised in that preset organic matter in the status data includes air
In the case of content data, the status data of the collection oil depot to be monitored, including：
The content data that detector gathers default organic matter in air is chemically examined by photoion built-in in the client；
Or, chemically examined during detector gathers air by the external photoion being connected with the client and preset containing for organic matter
Amount data.
4. method according to claim 3, it is characterised in that gather the status data of oil depot to be monitored in the client
Before, methods described also includes：
Photoion chemical examination detector is calibrated.
5. method according to claim 1, it is characterised in that gather the status data of oil depot to be monitored in the client
Afterwards, methods described also includes：
Reject the invalid data in the status data；
The status data after invalid data as the first data will be rejected；
Accordingly, the first result data is determined according to the status data, including：Determine described first according to first data
Result data；
The status data is sent to server end, including：By first data is activation to the server end.
6. method according to claim 1, it is characterised in that the monitoring of leakage result includes at least one of：Oil
There is the warning message of seepage in storehouse, the configured information of seepage oil depot does not occur and oil depot has the prompting message of risk of leakage.
7. a kind of oil depot monitoring method, it is characterised in that including：
The status data that received server-side client sends；
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 for indicate it is following at least it
One：Whether there is seepage, the probability and leakage cause of seepage occur；
Second result data is sent to the client.
8. method according to claim 7, it is characterised in that the status data includes at least one of：In air
Content data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the bimetallic tube wall pressure of the oil depot appendix of default organic matter
The inner tubal wall pressure of poor, described oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix, the work information of the oil depot.
9. method according to claim 8, it is characterised in that according to second data, determine the second result data, wraps
Include：
According to the multiple status datas in second data, corresponding multiple Matching Models are determined from multiple preset models；
Multiple status datas in the multiple Matching Model and second data respectively, it is determined that multiple fitting parameters；
According to the multiple fitting parameter and second data, the percolation ratio probability curve is set up；
According to the percolation ratio probability curve, second result data is obtained.
10. method according to claim 9, it is characterised in that according to second data, determine the second result data
Before, methods described also includes：
Server end obtains multiple sample datas, sets up multiple sample data models；
The multiple sample data model is trained, the sample data model after multiple training is obtained as the multiple pre-
If model.
11. methods according to claim 9, it is characterised in that according to second data, determine the second result data
Afterwards, methods described also includes：
The seepage information of each oil depot is generated at each oil depot position in default electronic map, wherein, the seepage information
Including at least one of：There is the warning message of seepage, the oil depot and the configured information of seepage and the oil depot do not occur in the oil depot
There is the prompting message of risk of leakage.
A kind of 12. oil depot monitoring methods, it is characterised in that including：
Client gathers the status data of oil depot to be monitored, wherein, the status data includes at least one of：It is pre- in air
If 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,
The inner tubal wall pressure of the oil depot petroleum pipeline, the inner tubal wall pressure of the oil depot appendix, the work information of the oil depot；
Client determines the first result data according to the status data, wherein, first result data is used to indicate whether
Generation seepage；
Client sends to server end the status data；
Server end determines the second result data according to the status data, wherein, second result data be used for indicate with
It is at least one lower：Whether there is seepage, the probability and leakage cause of seepage occur；
Client is using first result data and second result data as monitoring of leakage result.
A kind of 13. Inspecting System for Oil Depot, it is characterised in that including：Client and server end, wherein,
The client includes：
Acquisition module, the status data for gathering oil depot to be monitored, wherein, the status data includes at least one of：
Content data, the double-layer tube wall pressure difference of the oil depot petroleum pipeline, the bilayer of the oil depot appendix of organic matter are preset in air
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 mode 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 indicate whether occur seepage；
First receiver module, for receiving the second result data that the server end sends；
Display module, for using first result data and second result data as monitoring of leakage result；
The server end includes：
Second receiver module, for receiving the status data that the client sends；
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：Whether there is seepage, the probability and leakage cause of seepage occur；
Second sending module, for second result data to be sent to the client.
14. systems according to claim 13, it is characterised in that the server end also includes：
Map display module, the seepage information for generating each oil depot at each oil depot position in default electronic map,
Wherein, the seepage information includes at least one of：There is the warning message of seepage, the oil depot and seepage do not occur in the oil depot
There is the prompting message of risk of leakage in configured information and the oil depot.
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| CN106768652B (en) | 2019-04-09 |
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