CN105334829A - Oil well nitrogen injection machine monitoring system based on internet of things - Google Patents
Oil well nitrogen injection machine monitoring system based on internet of things Download PDFInfo
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- CN105334829A CN105334829A CN201510812271.1A CN201510812271A CN105334829A CN 105334829 A CN105334829 A CN 105334829A CN 201510812271 A CN201510812271 A CN 201510812271A CN 105334829 A CN105334829 A CN 105334829A
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- oil well
- working index
- central control
- control computer
- monitoring system
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- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 title claims abstract description 149
- 229910052757 nitrogen Inorganic materials 0.000 title claims abstract description 74
- 239000003129 oil well Substances 0.000 title claims abstract description 64
- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
- 238000002347 injection Methods 0.000 title abstract description 12
- 239000007924 injection Substances 0.000 title abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000000034 method Methods 0.000 claims description 10
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 4
- 238000013473 artificial intelligence Methods 0.000 claims description 4
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 4
- 239000007788 liquid Substances 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 3
- 238000006243 chemical reaction Methods 0.000 abstract description 2
- 239000003921 oil Substances 0.000 description 20
- 238000011084 recovery Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 239000010779 crude oil Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000007789 gas Substances 0.000 description 3
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
- 239000001569 carbon dioxide Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000000704 physical effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 239000004094 surface-active agent Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention is applied to the technical field of oilfield exploitation and in particular relates to an oil well nitrogen injection machine monitoring system based on internet of things. The monitoring system comprises an oil well nitrogen injection machine, an inductor, a controller, a communication module, a central control computer and a mobile terminal, wherein the inductor is connected to the oil well nitrogen injection machine and is used for acquiring working index parameters of the oil well nitrogen injection machine; the controller is connected to the inductor and is used for processing the working index parameters; the communication module is connected to the controller and is used for transmitting the processed working index parameters; the central control computer is interconnected with the communication module and is used for monitoring the operating state of the oil well nitrogen injection machine; and the mobile terminal is interconnected with the central control computer and is used for inquiring the monitoring result of the oil well nitrogen injection machine. The various working index parameters of the oil well nitrogen injection machine are acquired by virtue of various types of sensors, each received working index parameter is subjected to digital-to-analogue conversion by the controller and is transmitted to the central control computer for displaying by virtue of the communication module, each oil well nitrogen injection machine is timely and accurately monitored, and daily operation and operation dispatching of the oilfield can be arranged according to the operating state of each oil well nitrogen injection machine.
Description
Technical field
The present invention relates to oilfield exploitation technical field, particularly relate to a kind of oil well based on Internet of Things note nitrogen crane monitoring system.
Background technology
Oil, as the energy resources of preciousness, is widely deployed.After first time recovers the oil, traditional oil production method is (water filling and natural gas injection), but, still have the irreducible oil of 70% to be retained in oil reservoir.Exploit the method for this irreducible oil, be commonly referred to as and improve oil recovery factor (EOR) method.Usually, each new method improving oil recovery factor all needs a kind of fluid to inject oil reservoir, to increase the energy of oil reservoir, improves and sweeps oily efficiency, or manages the physical property changing crude oil itself.Improve oil recovery factor (EOR) and comprise the physical property (such as make crude oil thinning) that namely thermal recovery (steam or combustion (of oil) in site) method mainly changes crude oil; Chemical method-comprise and inject surfactant, polymkeric substance, alkaline matter or its potpourri; Gas injection comprises rock gas (CH4), carbon dioxide (CO2) or nitrogen (N2).As improving one of oil recovery factor or the best approach improving gas recovery factor, note nitrogen technology is comparatively general a kind of secondary recovery technology in China.
Due to oil field in the remote regions, the note nitrogen station setting up fixing production nitrogen limits by the condition such as infrastructure and electric power usually, and owing to not moving after having adopted oil, can cause very large waste.Note nitrogen machine is being brought into use recently as the novel device of note nitrogen technology in oilfield exploitation, but in use, but there are some problems: because movable type note nitrogen machine operation is in remote area, and dispersion is compared in distribution, concerning supvr, accurately cannot understand duty and the active loss of note nitrogen machine; Cause cannot solve according to this status information in time produce, the problem of plant maintenance and maintenance; Affect the daily production in oil field and the running scheduling of equipment.
Summary of the invention
The shortcoming of prior art in view of the above, a kind of oil well based on Internet of Things is the object of the present invention is to provide to note nitrogen crane monitoring system, accurately and in time cannot understand oil well note nitrogen machine duty for solving supvr in prior art, affecting the daily production in oil field and the running scheduling problem of oil well note nitrogen machine.
For achieving the above object and other relevant objects, the invention provides a kind of oil well based on Internet of Things note nitrogen crane monitoring system, comprising:
Oil well note nitrogen machine;
Be connected to described oil well note nitrogen machine in order to gather the inductor of its working index parameter; Be connected to the controller of described inductor for the treatment of this working index parameter; Be connected to described controller with the communication module of transmission through the working index parameter of this controller process; The central control computer of in order to monitor described oil well noting nitrogen machine duty interconnected with described communication module; The mobile terminal of in order to inquire about described oil well noting nitrogen machine monitoring result interconnected with described central control computer.
As preferably a kind of scheme, described inductor at least comprise in liquid level sensor, pressure transducer, flow sensor, temperature sensor and carbon monoxide transducer one or more.
As preferably a kind of scheme, described controller be in single-chip microcomputer, programmable logic controller (PLC), digital signal processor and arm processor any one.
As preferably a kind of scheme, described communication module is one or more of GPS module, GPRS module, gsm module and WIFI module.
As preferably a kind of scheme, described central control computer comprises geography data subsystem, the working index parameter being applicable to receive, according to the geographical location information classification of described oil well note nitrogen machine, shows the different oil well note nitrogen machine working index parameter of each geographical location information according to classification results with graph mode correspondence.
As preferably a kind of scheme, artificial intelligence subsystem is all comprised in described central control computer and described controller, be applicable to add up by its category classification according to the working index parameter received, judge every class working index parameter whether in Preset Time accumulated value be that tendency increases, increase if this accumulated value is tendency, then this working index parameter is sent to described central control computer; If increasing in tendency does not appear in this accumulated value in Preset Time, then do not process.
As preferably a kind of scheme, described central control computer comprises expert's subsystem, is applicable to when described working index Parameters variation being detected, adjusts described working index parameter according to failure message sample pattern.
As preferably a kind of scheme, described expert's subsystem, when being applicable to according to described working index Parameters variation, being stored in central control computer according to its Adjusted Option and adjustment result, reaching system self study and self-correction function.
As preferably a kind of scheme, described mobile terminal be in mobile phone, panel computer, palm PC, MP4 and MP5 any one or multiple.
As mentioned above, the note of the oil well based on Internet of Things nitrogen crane monitoring system of the present invention, has following beneficial effect:
Each working index parameter of oil well note nitrogen machine is gathered by various kinds of sensors, controller by each working index parameter number mode convertion of reception after treatment, wherein, also comprise and judge that whether each working index parameter described is normal, when abnormal, then produce corresponding alerting signal and be sent to central control computer, be sent to central control computer display by communication module; When change appears in certain class working index parameter, according to expert system in central control computer, it is adjusted accordingly.Not only avoid the possibility of traditional monitor mode wrong report, improve the accuracy rate of monitoring, also reach the function of self-recision.
Simultaneously, after each working index parameter processing, central control computer display is sent to by communication module, be convenient to each oil well of monitoring note nitrogen machine promptly and accurately, according to the duty of each oil well note nitrogen machine, power consumption and the note nitrogen quantity of note nitrogen machine can be understood in real time, arrange daily running and the running scheduling in oil field, be convenient to carry out cost accounting.
Accompanying drawing explanation
Fig. 1 is shown as a kind of note of the oil well based on the Internet of Things nitrogen crane monitoring system structured flowchart in the embodiment of the present invention;
Fig. 2 is shown as a kind of note of the oil well based on the Internet of Things nitrogen crane monitoring system first example structure block diagram in the embodiment of the present invention.
Element numbers illustrates:
1, oil well note nitrogen machine, 2, inductor, 3, controller, 4, communication module, 5, central control computer, 6, mobile terminal.
Embodiment
By particular specific embodiment, embodiments of the present invention are described below, person skilled in the art scholar the content disclosed by this instructions can understand other advantages of the present invention and effect easily.
Refer to Fig. 1 to Fig. 2.Notice, structure, ratio, size etc. that this instructions institute accompanying drawings illustrates, content all only in order to coordinate instructions to disclose, understand for person skilled in the art scholar and read, and be not used to limit the enforceable qualifications of the present invention, therefore the not technical essential meaning of tool, the adjustment of the modification of any structure, the change of proportionate relationship or size, do not affecting under effect that the present invention can produce and the object that can reach, all should drop in scope that disclosed technology contents can contain.Simultaneously, quote in this instructions as " on ", D score, "left", "right", " centre " and " one " etc. term, also only for ease of understanding of describing, and be not used to limit the enforceable scope of the present invention, the change of its relativeness or adjustment, under changing technology contents without essence, when being also considered as the enforceable category of the present invention.
As shown in Figure 1, the invention provides a kind of oil well based on Internet of Things note nitrogen crane monitoring system, comprising:
Oil well note nitrogen machine 1;
Be connected to described oil well note nitrogen machine 1 for gathering the inductor 2 of its working index parameter; Be connected to the controller 3 of described inductor for the treatment of this working index parameter; Be connected to described controller 3 to transmit the communication module 4 of processed working index parameter; The central control computer 5 of in order to monitor described oil well noting nitrogen machine 1 duty interconnected with described communication module 4, the working index parameter received is shown to supvr with the form in chart and map orientation by described central control computer 5, facilitates supvr to understand oil well note nitrogen machine 1 duty of diverse geographic location at any time.
Embodiment 1
As shown in Figure 2, for the one in the embodiment of the present invention is based on Internet of Things oil well note nitrogen machine 1 supervisory system first example structure block diagram.
Described inductor 2 at least comprise in liquid level sensor, pressure transducer, flow sensor, temperature sensor and carbon monoxide transducer one or more, gather the liquid level of oil well note nitrogen machine 1, pressure, flow, temperature and carbon monoxide by the sensor successively, be sent to controller 3.
Described controller 3 be in single-chip microcomputer, programmable logic controller (PLC) 3, digital signal processor and arm processor any one, described controller 3 carries out analog to digital conversion to the working index parameter received, by this working index parameter of known intelligent algorithm process.
Described communication module 4 is one or more of GPS module, GPRS module, gsm module and WIFI module, described communication module 4 is wireless communication module 4, when facilitating oil well to note nitrogen machine 1 operation in the wild, working index parameter is sent to central control computer 5 whenever and wherever possible, described central control computer 5 comprises geography data subsystem, expert's subsystem and artificial intelligence subsystem, achieves and automatically working index parameter is generated corresponding figure table function.
Wherein, described central control computer 5 comprises geography data subsystem, the working index parameter being applicable to receive, according to the geographical location information classification of described oil well note nitrogen machine 1, shows the different oil well note nitrogen machine 1 working index parameter of each geographical location information according to classification results with graph mode correspondence.
In the present embodiment, moral map is set high in described geography data subsystem, this oil well note nitrogen machine 1 geographical location information is obtained by high moral map, distinguish different oil well note nitrogen machines 1 according to geographical location information classification, under this geographical location information basis, graphically show working index parameters all corresponding to this oil well note nitrogen machine 1.
Artificial intelligence subsystem is all comprised in described central control computer 5 and described controller 3, be applicable to add up by its category classification according to the working index parameter received, judge every class working index parameter whether in Preset Time accumulated value be that tendency increases, increase if this accumulated value is tendency, then this working index parameter is sent to described central control computer 5; If increasing in tendency does not appear in this accumulated value in Preset Time, then do not process.
In the present embodiment, the working index parameter transmission that each sensor in described inductor 2 gathers, to controller 3, transforms through A/D, carries out analysis judge at controller 3, and whether judge that project is is disturbing signal.The collection of present monitoring product to information uses the warning of pulse trigger type, namely when monitoring target produces trigger pip, is sent to central control computer with high level or coded message; But in fact the warning message 80% of pulse trigger type is all because various disturbance (such as: the accidental change of components and parts unstable properties, spread of voltage or monitoring parameter) causes, and is not real warning or information.This simple judgement can produce a large amount of false judgment and wrong report, causes the instability of intelligent monitoring product function.
Controller 3 is in the working index parameter acquisition stage, the signals collecting that continues can be carried out and be not only flutter to catch triggering, after collection, accumulation algorithm be carried out to each working index parameter, if disturbance, after the cumulative regular hour, there will be positive and negative values offset or accumulated value be zero; Again or, when there is the following period of time before or after pulse signal, no longer occurring, accidental disturbance can be considered as, and the signal of really.Only there is certain hour continuously, or increasing to the Trend value in a direction, just can be considered real signal, for reporting to the police.
Described central control computer 5 comprises expert's subsystem, is applicable to when described working index Parameters variation being detected, adjusts described working index parameter according to failure message sample pattern.
Described expert's subsystem, when being applicable to according to described working index Parameters variation, being stored in central control computer according to its Adjusted Option and adjustment result, reaching the self study of expert's subsystem and self-correction function.
Also comprise mobile terminal 6, the mobile terminal 6 of for monitor described oil well noting nitrogen machine 1 duty interconnected with described central control computer 5, described mobile terminal 6 be in mobile phone, panel computer, palm PC, MP4 and MP5 any one or multiple.In the present embodiment, log in corresponding APP program by mobile terminal 6, the display result of inquiry or monitoring central control computer 5 on mobile terminal 6.
When supvr needs the duty understanding oil well note nitrogen machine 1 in all parts of the country, arrange and adjust the operation in oil field, only need be sitting in Control Room by central control computer 5, the corresponding chart generated according to its working index parameter of each oil well note nitrogen machine 1 can be inquired, or APP program and the central control computer 5 of dependence mobile terminal 6 are interconnected, realize sharing of Query Result.
In sum, the present invention gathers each working index parameter of oil well note nitrogen machine 1 by various kinds of sensors, controller 3 by each working index parameter number mode convertion of reception after treatment, wherein, also comprise and judge that whether each working index parameter described is normal, when abnormal, then produce corresponding alerting signal and be sent to central control computer 5, be sent to central control computer 5 by communication module 4 and show; When change appears in certain class working index parameter, according to central control computer 5 special secondary school man subsystem, it is adjusted accordingly.Not only avoid the possibility of traditional monitor mode wrong report, improve the accuracy rate of monitoring, also reach the function of self-recision.
Simultaneously, after each working index parameter processing, be sent to central control computer 5 by communication module to show, be convenient to each oil well of monitoring note nitrogen machine 1 promptly and accurately, according to the duty of each oil well note nitrogen machine 1, power consumption and the note nitrogen quantity of oil well note nitrogen machine 1 can be understood in real time, arrange daily running and the running scheduling in oil field, be convenient to carry out cost accounting.So the present invention effectively overcomes various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all without prejudice under spirit of the present invention and category, can modify above-described embodiment or changes.Therefore, such as have in art usually know the knowledgeable do not depart from complete under disclosed spirit and technological thought all equivalence modify or change, must be contained by claim of the present invention.
Claims (9)
1., based on an oil well note nitrogen crane monitoring system for Internet of Things, it is characterized in that, comprising:
Oil well note nitrogen machine;
Be connected to described oil well note nitrogen machine in order to gather the inductor of its working index parameter; Be connected to the controller of described inductor for the treatment of this working index parameter; Be connected to described controller with the communication module of transmission through the working index parameter of this controller process; The central control computer of in order to monitor described oil well noting nitrogen machine duty interconnected with described communication module; The mobile terminal of in order to inquire about described oil well noting nitrogen machine monitoring result interconnected with described central control computer.
2. the oil well based on Internet of Things according to claim 1 note nitrogen crane monitoring system, is characterized in that, described inductor at least comprise in liquid level sensor, pressure transducer, flow sensor, temperature sensor and carbon monoxide transducer one or more.
3. the oil well based on Internet of Things according to claim 1 note nitrogen crane monitoring system, is characterized in that, described controller be in single-chip microcomputer, programmable logic controller (PLC), digital signal processor and arm processor any one.
4. the oil well based on Internet of Things according to claim 1 note nitrogen crane monitoring system, is characterized in that, described communication module is one or more of GPS module, GPRS module, gsm module and WIFI module.
5. the note of the oil well based on Internet of Things nitrogen crane monitoring system according to claim 1, it is characterized in that, described central control computer comprises geography data subsystem, the working index parameter being applicable to receive, according to the geographical location information classification of described oil well note nitrogen machine, shows the different oil well note nitrogen machine working index parameter of each geographical location information according to classification results with graph mode correspondence.
6. the note of the oil well based on Internet of Things nitrogen crane monitoring system according to claim 5, it is characterized in that, artificial intelligence subsystem is all comprised in described central control computer and described controller, be applicable to add up by its category classification according to the working index parameter received, judge every class working index parameter whether in Preset Time accumulated value be that tendency increases, increase if this accumulated value is tendency, then this working index parameter is sent to described central control computer; If increasing in tendency does not appear in this accumulated value in Preset Time, then do not process.
7. the note of the oil well based on Internet of Things nitrogen crane monitoring system according to claim 1, it is characterized in that, described central control computer comprises expert's subsystem, is applicable to when described working index Parameters variation being detected, adjusts described working index parameter according to failure message sample pattern.
8. the note of the oil well based on Internet of Things nitrogen crane monitoring system according to claim 7, it is characterized in that, described expert's subsystem, when being applicable to according to described working index Parameters variation, be stored in central control computer according to its Adjusted Option and adjustment result, reach system self study and self-correction function.
9. the oil well based on Internet of Things according to claim 1 note nitrogen crane monitoring system, is characterized in that, described mobile terminal be in mobile phone, panel computer, palm PC, MP4 and MP5 any one or multiple.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510812271.1A CN105334829A (en) | 2015-11-23 | 2015-11-23 | Oil well nitrogen injection machine monitoring system based on internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510812271.1A CN105334829A (en) | 2015-11-23 | 2015-11-23 | Oil well nitrogen injection machine monitoring system based on internet of things |
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| Publication Number | Publication Date |
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| CN105334829A true CN105334829A (en) | 2016-02-17 |
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| CN201510812271.1A Pending CN105334829A (en) | 2015-11-23 | 2015-11-23 | Oil well nitrogen injection machine monitoring system based on internet of things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109491341A (en) * | 2018-11-28 | 2019-03-19 | 北京迈斯康特测控技术有限公司 | Monitoring and data analysis system for oil field operation equipment |
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2015
- 2015-11-23 CN CN201510812271.1A patent/CN105334829A/en active Pending
Patent Citations (4)
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| CN101620425A (en) * | 2008-06-30 | 2010-01-06 | 四川晨洋科技研究所有限公司 | Remote numerical control oil extraction machine |
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| CN109491341A (en) * | 2018-11-28 | 2019-03-19 | 北京迈斯康特测控技术有限公司 | Monitoring and data analysis system for oil field operation equipment |
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Application publication date: 20160217 |
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