CN104159087A - Field monitoring platform for drilling machine - Google Patents
Field monitoring platform for drilling machine Download PDFInfo
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- CN104159087A CN104159087A CN201410419004.3A CN201410419004A CN104159087A CN 104159087 A CN104159087 A CN 104159087A CN 201410419004 A CN201410419004 A CN 201410419004A CN 104159087 A CN104159087 A CN 104159087A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
- E21B44/005—Below-ground automatic control systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
Abstract
The invention relates to a field monitoring platform for a drilling machine. The monitoring platform comprises an anti-explosion camera, an image processor, a digital processor and a plurality of sensors, wherein the image processor is connected with the anti-explosion camera and the digital processor respectively, and is used for performing target identification tracking on a field image shot by the anti-explosion camera, and transmitting a target identification tracking result to the digital processor; the plurality of sensors are used for acquiring a plurality of parameters of a drilling well; and the digital processor is used for determining an alarm strategy according to the target identification tracking result and the parameters acquired by the plurality of sensors. Through the field monitoring platform, the plurality of parameters of the drilling well can be monitored and alarmed automatically, and a motion simulation graph can be drawn for the field character track of the drilling machine, so that a remote monitoring center which is connected with the monitoring platform can find the field abnormal state of the drilling machine in time, and further expansion of a dangerous situation is avoided.
Description
Technical field
The present invention relates to rig monitoring field, relate in particular to a kind of rig on-site supervision platform.
Background technology
Drilling well (drilling) is to utilize plant equipment, stratum is drilled to the engineering of the cylindrical orifice with certain depth.By catalase mode and used tool type, can be divided into percussion drill and rotary drilling again.In geological work, utilize the column circular hole that drilling equipment is less to the underground diameter being drilled to, the degree of depth is larger, claim again boring.Drilling well diameter and depth size, depend on drilling well purposes and mineral products buried depth etc.Drill for oil, the drilling well diameter of natural gas and underground water is all larger.
The main function of drilling well is: (1) obtains underground geological material, from drilling well, takes rock core, the ore deposit heart, landwaste, liquid sample, gaseous state sample etc.; (2), as geophysical log passage, obtain the data of the various geophysical fields of rock ore bed; (3) as artificial channel observation water table hydrogeology current intelligence; (4), as visiting, adopting combination, tap ground water resources, the drilling well of oil gas, underground heat etc.Drilling well is divided into geologic prospecting or exploration drilling, hydrogeology drilling, well or engineering geology drilling well, geothermal drilling, oil drilling, coal driling, ore field drilling well, building ground drilling well etc. by purposes conventionally.
Because situ of drilling well operation is had relatively high expectations to security performance, need to monitor various field parameter, guaranteeing that parameter is in regime values scope, and do not have in the situation of on-the-spot violation operation against rules, ability reduction accident odds, in prior art, the means of drilling well monitoring are mainly analog video supervisory control systems, collection and analysis by analog signal judge whether situ of drilling well exists potential safety hazard, but, simulated monitoring system has born technical bottleneck, for example precision is low, arithmetic speed is slow etc., can not meet the requirement of various situ of drilling well safety in production, lack the monitoring means that on-the-spot unauthorized person is invaded simultaneously, do not set up the safety-protection system of situ of drilling well.
Therefore, the technical scheme that needs the on-site supervision of a kind of digitlization rig, on-site parameters is carried out to digital collection, computing and transmission, realization is followed the tracks of the monitoring of on-site parameters and Field Force's person recognition, security monitoring data are comprehensively and accurately provided, effectively ensure the normal operation of situ of drilling well, reduce the economic loss of drilling well operator.
Summary of the invention
In order to address the above problem, the invention provides a kind of rig on-site supervision platform, by the mode of image object recognition and tracking, the image scene that situ of drilling well camera is taken carries out the identification of personage's target and tracking, intrusion alarm signal is provided, and each on-site parameters data that digital sensor is collected and each reference data comparison, when occurring differing from the situation of reference data, the warning message of relevant parameter is provided, the Surveillance center of being convenient to far-end understands the situation of situ of drilling well as early as possible, to take corresponding measure, get rid of field failure, remove on-the-spot intrusion personnel, for providing in all directions, drilling well work ensures.
According to an aspect of the present invention, a kind of rig on-site supervision platform is provided, described monitor supervision platform comprises explosion-proof video camera, image processor, digital processing unit and a plurality of transducer, image processor connects respectively explosion-proof video camera and digital processing unit, for the image scene that explosion-proof video camera is taken, carry out target recognition and tracking, target recognition and tracking result is sent to digital processing unit, a plurality of transducers are for gathering a plurality of parameters of drilling well, and the parameter that digital processing unit gathers according to target recognition and tracking result and a plurality of transducer is determined the strategy of reporting to the police.
More specifically, in described rig on-site supervision platform, further comprise, RFDC interface, for being connected with the Surveillance center of far-end by cordless communication network, the preset bit load upper limit that the user input device of reception Surveillance center is inputted, the predetermined rate of penetration upper limit, predetermined mud outlet upper density limit, predetermined mud entrance upper density limit, personage's upper limit gray threshold and personage's lower limit gray threshold, memory, connects RFDC interface, for storing predetermined the pressure of the drill upper limit, the predetermined rate of penetration upper limit, predetermined mud outlet upper density limit, predetermined mud entrance upper density limit, personage's upper limit gray threshold and personage's lower limit gray threshold, described image processor comprises, target recognition unit connects explosion-proof video camera and memory device, receives image scene, and the pixel by gray value in image scene between personage's upper limit gray threshold and personage's lower limit gray threshold is identified and formed personage's target image, target following unit, linking objective recognition unit, adopts the target tracking algorism based on template matches, determines personage's movement locus according to front and back two frame personage target images, described a plurality of transducer comprises, weight on hook transducer, for gathering the weight on hook data of drilling well, hook height transducer, for gathering the hook height data of rig, mud outlet density sensor, for gathering the outlet mud density data in rig exit, mud entrance density sensor, for gathering the entrance mud density data of rig porch, described digital processing unit comprises, arithmetic element receives weight on hook data, and the pressure of the drill data based on weight on hook data calculating drilling well, receive hook height data, data while calculating the brill of drilling well based on hook height data, and data are calculated the rate of penetration data of rig when boring, processing unit, difference concatenation operation unit and memory, when the pressure of the drill data of drilling well surpass on preset bit load in limited time, send the too high cue of the pressure of the drill, when the pressure of the drill data of drilling well surpass the preset bit load upper limit 10%, send the too high alarm signal of the pressure of the drill, when the pressure of the drill data of drilling well surpass the preset bit load upper limit 30%, send the too high alarm signal of the pressure of the drill, when the rate of penetration data of drilling well surpass on predetermined rate of penetration in limited time, send the too high cue of rate of penetration, when the rate of penetration data of drilling well surpass the predetermined rate of penetration upper limit 10%, send the too high alarm signal of rate of penetration, when the rate of penetration data of drilling well surpass the predetermined rate of penetration upper limit 30%, send the too high alarm signal of rate of penetration, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit, send the too high cue of mud outlet density, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit 10%, send the too high alarm signal of mud outlet density, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit 30%, send the too high alarm signal of mud outlet density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit, send the too high cue of mud entrance density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit 10%, send the too high alarm signal of slurry Access-Point Density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit 30%, send the too high alarm signal of mud entrance density, also distinguish linking objective recognition unit and target following unit, when receiving personage's target image, send intrusion alarm signal, and according to image scene, personage's target image and personage's movement locus is drawn figure picture for on-the-spot motion simulation figure, wherein, RFDC interface connects processing unit, be used for the too high cue of the pressure of the drill, the too high alarm signal of the pressure of the drill, the too high alarm signal of the pressure of the drill, the too high cue of rate of penetration, the too high alarm signal of rate of penetration, the too high alarm signal of rate of penetration, the too high cue of mud outlet density, the too high alarm signal of mud outlet density, the too high alarm signal of mud outlet density, the too high cue of mud entrance density, the too high alarm signal of mud entrance density, the too high alarm signal of mud entrance density, intrusion alarm signal and motion simulation figure send to the Surveillance center of far-end by cordless communication network.
More specifically, in described rig on-site supervision platform, described digital processing unit is the digital processing unit of TMS6000 series.
More specifically, in described rig on-site supervision platform, described RFDC interface is GPRS communication interface, 3G communication interface or 4G communication interface.
More specifically, in described rig on-site supervision platform, further comprise humidity sensor, for gathering the situ wet degrees of data of drilling well.
More specifically, in described rig on-site supervision platform, described humidity sensor connects described RFDC interface, for situ wet degrees of data is sent to the Surveillance center of far-end by cordless communication network.
More specifically, in described rig on-site supervision platform, further comprise temperature sensor, for gathering the scene temperature data of drilling well.
More specifically, in described rig on-site supervision platform, described temperature sensor connects described RFDC interface, for scene temperature data are sent to the Surveillance center of far-end by cordless communication network.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
The block diagram that Fig. 1 is the rig on-site supervision platform that illustrates according to an embodiment of the present invention.
The block diagram of the image processor that Fig. 2 is the rig on-site supervision platform that illustrates according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of rig on-site supervision platform of the present invention is elaborated.
The application of drilling well is very wide, comprises and is not limited to geologic prospecting or exploration, hydrogeological exploration, well or Engineering Geology Investigation, geothermal exploitation, oil development, coal field development and ore field exploitation.Because spudder mainly concentrates on underground, its industry particularity has determined that its security performance to on-site parameters has relatively high expectations, careless slightly, all that has been achieved is spoiled in meeting, cause huge damage to situ of drilling well various device, bring high expense to drilling well operator, scene even cannot continue to develop once again sometimes.Especially in complicated interval and new exploratory area, dig a well by rule of thumb that often accident is continuous, cause the huge waste of fund and time.
Therefore, transmission for fear of security incident, reduce on-the-spot operation against rules in violation of rules and regulations, need to set up a set of on-the-spot multi-parameter monitoring, the on-the-spot safe-guard system of reporting to the police of invading, and set up wireless link with remote monitoring center and be connected, be convenient to far-end operation personnel and take measures in time, solve potential safety hazard, avoid the generation of security incident.
The current technical scheme to drilling well monitoring is to provide drilling engineering information by simulated drilling parameter monitor instrument, drilling condition and relevant parameters are carried out to real-time Simulation monitoring, and in time forecast complex situations and the drilling failure that may occur, thereby provide real time data for drilling engineering technical staff's decision-making in-situ.But simulated monitoring system monitoring accuracy is not high, transmission data speed is slower, lacks personnel simultaneously and invades warning, cannot provide monitor message comprehensively and accurately for situ of drilling well.
Rig on-site supervision platform of the present invention, various digitlization on-site parameters and field digitized image can be provided automatically, and can pass through digital intelligent analysis, and analysis result is transferred to the Surveillance center of far-end by wireless communication link, more more reliable than the drilling well monitoring scheme of prior art.
The block diagram that Fig. 1 is the rig on-site supervision platform that illustrates according to an embodiment of the present invention, described monitor supervision platform comprises a plurality of transducers 1, explosion-proof video camera 2, image processor 3, digital processing unit 4, memory 5 and RFDC interface 6, image processor 3 connects respectively explosion-proof video camera 2 and digital processing unit 4, for the image scene that explosion-proof video camera 2 is taken, carry out target recognition and tracking, target recognition and tracking result is sent to digital processing unit 4, a plurality of transducers 1 gather for a plurality of parameters to drilling well, the parameter that digital processing unit 4 gathers according to target recognition and tracking result and a plurality of transducer is determined the strategy of reporting to the police, RFDC interface 6 is connected with memory 5 with digital processing unit 4 respectively, for each reference data of remote setting being sent to memory 5 storages, and the warning strategy of digital processing unit 4 is sent to the Surveillance center of far-end, memory 5 is also connected to provide each reference data with digital processing unit 4.
Then, the structure of rig on-site supervision platform is carried out to more specific description.
In described rig on-site supervision platform, RFDC interface 6, for being connected with the Surveillance center of far-end by cordless communication network, the preset bit load upper limit that the user input device of reception Surveillance center is inputted, the predetermined rate of penetration upper limit, predetermined mud outlet upper density limit, predetermined mud entrance upper density limit, personage's upper limit gray threshold and personage's lower limit gray threshold; Memory 5, connects RFDC interface 6, for storing predetermined the pressure of the drill upper limit, the predetermined rate of penetration upper limit, predetermined mud outlet upper density limit, predetermined mud entrance upper density limit, personage's upper limit gray threshold and personage's lower limit gray threshold.
With reference to figure 2, described image processor 3 comprises, target recognition unit 31 connects explosion-proof video camera 2 and memory device 5, receive image scene, the pixel by gray value in image scene between personage's upper limit gray threshold and personage's lower limit gray threshold is identified and is formed personage's target image; Target following unit 32, linking objective recognition unit 31, adopts the target tracking algorism based on template matches, determines personage's movement locus according to front and back two frame personage target images.
Described a plurality of transducer 1 comprises, weight on hook transducer, for gathering the weight on hook data of drilling well; Hook height transducer, for gathering the hook height data of rig; Mud outlet density sensor, for gathering the outlet mud density data in rig exit; Mud entrance density sensor, for gathering the entrance mud density data of rig porch.
Described digital processing unit 4 comprises, arithmetic element receives weight on hook data, and the pressure of the drill data based on weight on hook data calculating drilling well, receive hook height data, data while calculating the brill of drilling well based on hook height data, and data are calculated the rate of penetration data of rig when boring, processing unit, difference concatenation operation unit and memory 5, when the pressure of the drill data of drilling well surpass on preset bit load in limited time, send the too high cue of the pressure of the drill, when the pressure of the drill data of drilling well surpass the preset bit load upper limit 10%, send the too high alarm signal of the pressure of the drill, when the pressure of the drill data of drilling well surpass the preset bit load upper limit 30%, send the too high alarm signal of the pressure of the drill, when the rate of penetration data of drilling well surpass on predetermined rate of penetration in limited time, send the too high cue of rate of penetration, when the rate of penetration data of drilling well surpass the predetermined rate of penetration upper limit 10%, send the too high alarm signal of rate of penetration, when the rate of penetration data of drilling well surpass the predetermined rate of penetration upper limit 30%, send the too high alarm signal of rate of penetration, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit, send the too high cue of mud outlet density, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit 10%, send the too high alarm signal of mud outlet density, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit 30%, send the too high alarm signal of mud outlet density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit, send the too high cue of mud entrance density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit 10%, send the too high alarm signal of slurry Access-Point Density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit 30%, send the too high alarm signal of mud entrance density, also distinguish linking objective recognition unit 31 and target following unit 32, when receiving personage's target image, send intrusion alarm signal, and according to image scene, personage's target image and personage's movement locus is drawn figure picture for on-the-spot motion simulation figure.
Wherein, RFDC interface 6 connects processing unit, be used for the too high cue of the pressure of the drill, the too high alarm signal of the pressure of the drill, the too high alarm signal of the pressure of the drill, the too high cue of rate of penetration, the too high alarm signal of rate of penetration, the too high alarm signal of rate of penetration, the too high cue of mud outlet density, the too high alarm signal of mud outlet density, the too high alarm signal of mud outlet density, the too high cue of mud entrance density, the too high alarm signal of mud entrance density, the too high alarm signal of mud entrance density, intrusion alarm signal and motion simulation figure send to the Surveillance center of far-end by cordless communication network.
Wherein, described digital processing unit 4 is chosen as the digital processing unit of TMS6000 series, described RFDC interface 6 is chosen as GPRS communication interface, 3G communication interface or 4G communication interface, described rig on-site supervision platform can comprise humidity sensor, for gathering the situ wet degrees of data of drilling well, described humidity sensor connects described RFDC interface 6, for situ wet degrees of data is sent to the Surveillance center of far-end by cordless communication network, described rig on-site supervision platform can comprise temperature sensor, for gathering the scene temperature data of drilling well, described temperature sensor connects described RFDC interface 6, for scene temperature data are sent to the Surveillance center of far-end by cordless communication network.
In addition, hook, is a part for well drilling hoisting system, hang on travelling block below.Hook has single hook, double hook and three hooks.Oil-well rig is all generally three hooks with hook.Different according to the method for manufacturing, hook body have forging, steel plate installed-welded with casting, the latter is lighter.Hook is mainly comprised of hook body, shank, hook seat, drop handle, thrust bearing and spring.Rig operation to the requirement of hook is: should have enough intensity and functional reliability; Hook body energy flexible rotating, so that upper button, shackle; Hook spring travel should be enough to compensate drilling rod and unload the distance that drilling rod is; The locking device of the mouth of hook and side hook is should be definitely reliable, close and open conveniently; Hook should have bumper and absorbing shock function, reduces to dismantle the impact of thribble.During drilling well, on hook, hang the tap with whole drilling tools.Hook both sides also hang with two suspension ring, coordinate for drilling or setting of casing with elevator.
In addition, the pressure of the drill, when normally creeping into, transfers drill string exactly, and the gravity of part drill string is added on drill bit as the pressure of the drill.During brill, be one of index of weighing rock stratum drillability, often creep into one meter of needed time.It during brill, is just in time the inverse of rate of penetration.Oil drilling judges the variation on stratum while boring by measurement, be called drilling-time log.Drilling-time log is an important content of drilling geology work.Rate of penetration refers to the drilling footage of drill bit within the unit interval in drilling well, is the parameter of reflection rate of penetration speed, and he is the important technology economic index of the bit speed speed of a bite well, is also the important indicator of weighing a drill bit quality.
Adopt rig on-site supervision platform of the present invention, the technical problem not high for existing simulation rig on-site monitoring equipment monitoring precision, monitored object is incomplete, the mode that adopts image object to identify is identified personage's target of situ of drilling well and is invaded warning to carry out personage, adopt the mode of tracking image target to judge personage's track, adopt digitlization means to determine the parameters data of situ of drilling well, parameters data and each predetermined reference data are compared, when there is data exception, send in time multiple warning message, monitoring more effectively, more comprehensively.
Be understandable that, although the present invention with preferred embodiment disclosure as above, yet above-described embodiment is not in order to limit the present invention.For any those of ordinary skill in the art, do not departing from technical solution of the present invention scope situation, all can utilize the technology contents of above-mentioned announcement to make many possible changes and modification to technical solution of the present invention, or be revised as the equivalent embodiment of equivalent variations.Therefore, every content that does not depart from technical solution of the present invention,, all still belongs in the scope of technical solution of the present invention protection any simple modification made for any of the above embodiments, equivalent variations and modification according to technical spirit of the present invention.
Claims (8)
1. a rig on-site supervision platform, it is characterized in that, described monitor supervision platform comprises explosion-proof video camera, image processor, digital processing unit and a plurality of transducer, image processor connects respectively explosion-proof video camera and digital processing unit, for the image scene that explosion-proof video camera is taken, carry out target recognition and tracking, target recognition and tracking result is sent to digital processing unit, a plurality of transducers are for gathering a plurality of parameters of drilling well, and the parameter that digital processing unit gathers according to target recognition and tracking result and a plurality of transducer is determined the strategy of reporting to the police.
2. rig on-site supervision platform as claimed in claim 1, is characterized in that, described monitor supervision platform also comprises:
RFDC interface, for being connected with the Surveillance center of far-end by cordless communication network, the preset bit load upper limit that the user input device of reception Surveillance center is inputted, the predetermined rate of penetration upper limit, predetermined mud outlet upper density limit, predetermined mud entrance upper density limit, personage's upper limit gray threshold and personage's lower limit gray threshold;
Memory, connects RFDC interface, for storing predetermined the pressure of the drill upper limit, the predetermined rate of penetration upper limit, predetermined mud outlet upper density limit, predetermined mud entrance upper density limit, personage's upper limit gray threshold and personage's lower limit gray threshold;
Described image processor comprises
Target recognition unit, connects explosion-proof video camera and memory device, receives image scene, and the pixel by gray value in image scene between personage's upper limit gray threshold and personage's lower limit gray threshold is identified and formed personage's target image;
Target following unit, linking objective recognition unit, adopts the target tracking algorism based on template matches, determines personage's movement locus according to front and back two frame personage target images;
Described a plurality of transducer comprises
Weight on hook transducer, for gathering the weight on hook data of drilling well;
Hook height transducer, for gathering the hook height data of rig;
Mud outlet density sensor, for gathering the outlet mud density data in rig exit;
Mud entrance density sensor, for gathering the entrance mud density data of rig porch;
Described digital processing unit comprises
Arithmetic element, receives weight on hook data, and based on weight on hook data, calculates the pressure of the drill data of drilling well, receives hook height data, data while calculating the brill of drilling well based on hook height data, and data are calculated the rate of penetration data of rig when boring;
Processing unit, difference concatenation operation unit and memory, when the pressure of the drill data of drilling well surpass on preset bit load in limited time, send the too high cue of the pressure of the drill, when the pressure of the drill data of drilling well surpass the preset bit load upper limit 10%, send the too high alarm signal of the pressure of the drill, when the pressure of the drill data of drilling well surpass the preset bit load upper limit 30%, send the too high alarm signal of the pressure of the drill, when the rate of penetration data of drilling well surpass on predetermined rate of penetration in limited time, send the too high cue of rate of penetration, when the rate of penetration data of drilling well surpass the predetermined rate of penetration upper limit 10%, send the too high alarm signal of rate of penetration, when the rate of penetration data of drilling well surpass the predetermined rate of penetration upper limit 30%, send the too high alarm signal of rate of penetration, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit, send the too high cue of mud outlet density, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit 10%, send the too high alarm signal of mud outlet density, when the outlet mud density data of drilling well surpass predetermined mud outlet upper density limit 30%, send the too high alarm signal of mud outlet density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit, send the too high cue of mud entrance density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit 10%, send the too high alarm signal of slurry Access-Point Density, when the entrance mud density data of drilling well surpass predetermined mud entrance upper density limit 30%, send the too high alarm signal of mud entrance density, also distinguish linking objective recognition unit and target following unit, when receiving personage's target image, send intrusion alarm signal, and according to image scene, personage's target image and personage's movement locus is drawn figure picture for on-the-spot motion simulation figure,
Wherein, RFDC interface connects processing unit, be used for the too high cue of the pressure of the drill, the too high alarm signal of the pressure of the drill, the too high alarm signal of the pressure of the drill, the too high cue of rate of penetration, the too high alarm signal of rate of penetration, the too high alarm signal of rate of penetration, the too high cue of mud outlet density, the too high alarm signal of mud outlet density, the too high alarm signal of mud outlet density, the too high cue of mud entrance density, the too high alarm signal of mud entrance density, the too high alarm signal of mud entrance density, intrusion alarm signal and motion simulation figure send to the Surveillance center of far-end by cordless communication network.
3. rig on-site supervision platform as claimed in claim 2, is characterized in that:
Described digital processing unit is the digital processing unit of TMS6000 series.
4. rig on-site supervision platform as claimed in claim 2, is characterized in that:
Described RFDC interface is GPRS communication interface, 3G communication interface or 4G communication interface.
5. rig on-site supervision platform as claimed in claim 2, is characterized in that, described monitor supervision platform also comprises:
Humidity sensor, for gathering the situ wet degrees of data of drilling well.
6. rig on-site supervision platform as claimed in claim 5, is characterized in that:
Described humidity sensor connects described RFDC interface, for situ wet degrees of data is sent to the Surveillance center of far-end by cordless communication network.
7. rig on-site supervision platform as claimed in claim 2, is characterized in that, described monitor supervision platform also comprises:
Temperature sensor, for gathering the scene temperature data of drilling well.
8. rig on-site supervision platform as claimed in claim 7, is characterized in that:
Described temperature sensor connects described RFDC interface, for scene temperature data are sent to the Surveillance center of far-end by cordless communication network.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710030155.3A CN106803330A (en) | 2014-08-24 | 2014-08-24 | Using the rig site monitor supervision platform of images steganalysis tracking mode |
| CN201710033597.3A CN106686355A (en) | 2014-08-24 | 2014-08-24 | Drilling machine on-site monitoring platform using image target recognizing and tracking mode |
| CN201410419004.3A CN104159087B (en) | 2014-08-24 | 2014-08-24 | Field monitoring platform for drilling machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410419004.3A CN104159087B (en) | 2014-08-24 | 2014-08-24 | Field monitoring platform for drilling machine |
Related Child Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710033597.3A Division CN106686355A (en) | 2014-08-24 | 2014-08-24 | Drilling machine on-site monitoring platform using image target recognizing and tracking mode |
| CN201710030155.3A Division CN106803330A (en) | 2014-08-24 | 2014-08-24 | Using the rig site monitor supervision platform of images steganalysis tracking mode |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104159087A true CN104159087A (en) | 2014-11-19 |
| CN104159087B CN104159087B (en) | 2017-02-22 |
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Family Applications (3)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410419004.3A Active CN104159087B (en) | 2014-08-24 | 2014-08-24 | Field monitoring platform for drilling machine |
| CN201710033597.3A Withdrawn CN106686355A (en) | 2014-08-24 | 2014-08-24 | Drilling machine on-site monitoring platform using image target recognizing and tracking mode |
| CN201710030155.3A Withdrawn CN106803330A (en) | 2014-08-24 | 2014-08-24 | Using the rig site monitor supervision platform of images steganalysis tracking mode |
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| CN201710033597.3A Withdrawn CN106686355A (en) | 2014-08-24 | 2014-08-24 | Drilling machine on-site monitoring platform using image target recognizing and tracking mode |
| CN201710030155.3A Withdrawn CN106803330A (en) | 2014-08-24 | 2014-08-24 | Using the rig site monitor supervision platform of images steganalysis tracking mode |
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| CN (3) | CN104159087B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104333745A (en) * | 2014-11-27 | 2015-02-04 | 无锡北斗星通信息科技有限公司 | Overwater and underwater image monitoring system of bathing beach |
| CN104818981A (en) * | 2015-04-30 | 2015-08-05 | 中铁二院工程集团有限责任公司 | Drilling field monitoring method |
| CN106771474A (en) * | 2016-11-11 | 2017-05-31 | 天水电气传动研究所有限责任公司 | A kind of power points temperature prediction and alarm method suitable for electric control system for drilling machine |
| CN111464777A (en) * | 2020-02-24 | 2020-07-28 | 中铁第四勘察设计院集团有限公司 | Correction processing method and system for geological exploration monitoring image/video |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110121053B (en) * | 2018-02-07 | 2021-07-20 | 中国石油化工股份有限公司 | Video monitoring method for drilling site risk grading early warning |
| CN108894738A (en) * | 2018-06-21 | 2018-11-27 | 中国石油集团川庆钻探工程有限公司 | A kind of single-ring automatic stopping device and automatic stop process |
| CN111794743B (en) * | 2020-08-28 | 2022-10-21 | 四川长宁天然气开发有限责任公司 | Shale gas well engineering tracking deduction method |
| CN112482991B (en) * | 2020-11-25 | 2023-01-03 | 中铁隧道局集团有限公司 | Roofbolter with geology recognition function |
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| CN106771474A (en) * | 2016-11-11 | 2017-05-31 | 天水电气传动研究所有限责任公司 | A kind of power points temperature prediction and alarm method suitable for electric control system for drilling machine |
| CN106771474B (en) * | 2016-11-11 | 2019-03-08 | 天水电气传动研究所有限责任公司 | A kind of power points temperature prediction and alarm method suitable for electric control system for drilling machine |
| CN111464777A (en) * | 2020-02-24 | 2020-07-28 | 中铁第四勘察设计院集团有限公司 | Correction processing method and system for geological exploration monitoring image/video |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106803330A (en) | 2017-06-06 |
| CN106686355A (en) | 2017-05-17 |
| CN104159087B (en) | 2017-02-22 |
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