CN202710050U - Clinometer - Google Patents

Clinometer Download PDF

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Publication number
CN202710050U
CN202710050U CN 201220346768 CN201220346768U CN202710050U CN 202710050 U CN202710050 U CN 202710050U CN 201220346768 CN201220346768 CN 201220346768 CN 201220346768 U CN201220346768 U CN 201220346768U CN 202710050 U CN202710050 U CN 202710050U
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CN
China
Prior art keywords
inclinator
processor
order
digital
obliquity sensor
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Expired - Fee Related
Application number
CN 201220346768
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Chinese (zh)
Inventor
李卫涛
张峰
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SHANGHAI VIGOR TECHNOLOGY DEVELOPMENT Co Ltd
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SHANGHAI VIGOR TECHNOLOGY DEVELOPMENT Co Ltd
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Priority to CN 201220346768 priority Critical patent/CN202710050U/en
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Publication of CN202710050U publication Critical patent/CN202710050U/en
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Abstract

The utility model discloses a clinometer which comprises a tilt sensor, a filter unit, a processor, a digital display division rotary table and a network unit, wherein the tilt sensor is used for providing high-resolution inclination angles; the filter unit is used for filtering analog signals output by the tilt sensor; the processor is used for performing high-precision analog/digital conversion on the analog signals which are output by the tilt sensor and filtered, digital signal filtering is completed in the processor to truly indicate inclination angle output information, and angular transformation is performed on signals which are subjected to digital processing; the digital display division rotary table is used for testing data which are required by the tilt sensor for linear compensation and figuring out proper linear calibration coefficients; and the network unit is used for providing a network transmission function so that the clinometer is connected with a host through the network unit, and used for sending angle data of measured objected to the host. The problem of short transmission distance of an intelligent clinometer can be solved through Ethernet transmission of the clinometer.

Description

A kind of inclinator
Technical field
The utility model belongs to field of measuring technique, relates to a kind of inclinator, relates in particular to a kind of Digitalized intelligent clinometer.
Background technology
Digitalized clinometer is to measure object tilt variation and the time dependent instrument of pedal line in time; Data acquisition unit is to the signals collecting of Digitalized clinometer, the exchanges data of carrying out of host computer and the data acquisition unit with Ethernet interface.Ethernet and inclinator are separate uses.
Generally, Digitalized clinometer only can use the industrial bus transmission, and the Ethernet interface access Ethernet by bus repeater can not directly rely on the Ethernet transmission.
Above information slip Benq has not satisfied the requirement that actual measurement is used in the inclinator of industrial bus transmission principle, and existing Ethernet there is no and directly access obliquity sensor, its advantage separately can not be embodied a concentrated reflection of out.As Ethernet and inclinator are combined with innovating, reduce user's burden, in some application places, have obvious technical advantage and using value such as attitude measurement field such as remote monitoring, Long-distance Control, remote data backups.
The utility model content
Technical problem to be solved in the utility model is: a kind of inclinator is provided, the high precision measurement of angle of roll, pitching can be provided, utilize Ethernet to remedy the deficiency of the range of application of existing inclinator, utilize the Ethernet transmission of inclinator to solve the short problem of intelligent inclinator transmission range.
For solving the problems of the technologies described above, the utility model adopts following technical scheme:
A kind of inclinator, described inclinator comprises:
Obliquity sensor is in order to provide high-resolution angle of inclination;
Filter unit is connected with described obliquity sensor, in order to the simulating signal of described obliquity sensor output is carried out filtering;
Processor, be connected with described filter unit, in order to simulating signal obliquity sensor output, process filtering is carried out the high precision analogue conversion, in processor, do digital signal filter, reflect truly inclination angle output information, and the signal after the digital processing is carried out angular transition;
Digital display graduation rotating platform is connected with described processor, tests in order to biography inclination angle sensor is made the required data of linear compensation, calculates suitable linear calibration's coefficient; Linear calibration's coefficient that described processor further utilizes digital display graduation rotating platform to calculate is made linear compensation to the angle-data of measuring;
Network element is connected with described processor, in order to network transmission function to be provided, so that inclinator is connected with a main frame by network element, will measures the body angle-data and be sent to this main frame.
As a kind of preferred version of the present utility model, described inclinator also comprises power-supply system, is connected with described obliquity sensor, filter unit, processor, digital display graduation rotating platform, network element, in order to power supply to be provided.
As a kind of preferred version of the present utility model, described filter unit is the hardware filtering unit, in order to filtering in the simulating signal bandwidth that obliquity sensor is exported.
As a kind of preferred version of the present utility model, described inclinator further comprises high low temperature sweat box, does compensation in order to the temperature at zero point of inclinator is floated.
As a kind of preferred version of the present utility model, described inclinator further comprises high low temperature sweat box, does compensation in order to the Sensitivity Temperature of inclinator is floated.
As a kind of preferred version of the present utility model, described processor is the MCU of built-in 24bit analog-to-digital conversion unit AD.
As a kind of preferred version of the present utility model, described processor is connected with digital display graduation rotating platform, network element, in order to roll, the pitch attitude information of obtaining inclinator, and angle information is sent to network element, by network element the attitude angle information of roll, pitching is sent to described main frame.
As a kind of preferred version of the present utility model, described network element is built-in Ethernet module, is connected with processor by digital serial interface.
The beneficial effects of the utility model are: the intelligent inclinator that the utility model proposes, the high precision measurement of angle of roll, pitching can be provided, and can satisfy commercial Application, study the in one's power measurement of military project unit and use long-range demand.Simultaneously, the utility model provides the angle of measuring body roll, pitching with Ethernet and obliquity sensor perfect adaptation together, realizes powerful measurement function, relatively has Digital Dipmeter now and has a clear superiority in.
The utility model is used the transmission of obliquity sensor and no longer is constrained in industrial-controlled general line, has used the Ethernet transmission, has greatly expanded the range of application of obliquity sensor.Make the user can be in any place that network arranged remote monitoring obliquity sensor data at any time, be convenient in time make favourable decision-making.This application is especially having very large advantage for long-range industry monitoring and control aspect the Internet of Things.
In addition, the utility model Digital Dipmeter in house software is integrated from calibration algorithm, and externally shirtsleeve operation realizes the digital automatic Calibration of Digital Dipmeter itself.
Description of drawings
Fig. 1 is the composition synoptic diagram of the utility model inclinator.
Fig. 2 is the process flow diagram of the utility model dipmeter survey method.
Embodiment
Describe preferred embodiment of the present utility model in detail below in conjunction with accompanying drawing.
Embodiment one
The utility model has disclosed a kind of inclinator, comprises obliquity sensor, filter unit, processor, digital display graduation rotating platform, power-supply system, Ethernet unit.Obliquity sensor is in order to provide high-resolution angle of inclination; Filter unit is connected with described obliquity sensor, in order to the simulating signal of described obliquity sensor output is carried out filtering; Processor is connected with described filter unit, in order to the simulating signal through filtering of obliquity sensor output is carried out the high precision analogue conversion, in processor, do digital signal filtering, reach and reflect truly inclination angle output information, and the signal after the digital processing is carried out angular transition; Digital display graduation rotating platform is connected with described processor, tests in order to biography inclination angle sensor is made the required data of linear compensation, calculates suitable linear calibration's coefficient; Linear calibration's coefficient that described processor further utilizes digital display graduation rotating platform to calculate is made linear compensation to the angle-data of measuring; The Ethernet unit is connected with described processor, and Internet Transmission and the control of measuring the body angle are provided; Power-supply system is connected with described obliquity sensor, filter unit, processor, digital display graduation rotating platform, Ethernet unit, in order to power supply to be provided.
See also Fig. 1, in the present embodiment, described inclinator comprises the MCU4 of core high precision MEMS obliquity sensor 1, hardware filtering unit 2, power-supply system 3, built-in 24Bit analog-to-digital conversion unit AD.Described MCU4 connects hardware filtering unit 2, power-supply system 3, and described power-supply system 3 connects obliquity sensor 1, hardware filtering unit 2.Described Ethernet unit 5 connects MCU4.
Core high precision MEMS obliquity sensor 1 can provide very high angular resolution, by filtering in 2 couples of high precision MEMS of hardware filtering obliquity sensor, the 1 outputting analog signal bandwidth, the MCU of built-in 24BitAD carries out the high precision analogue conversion to the simulating signal of core high precision MEMS obliquity sensor 1 output, in the MCU in house software, do digital signal filtering, reach and reflect truly inclination angle output information.
Ethernet unit 5 obtains roll, the pitch attitude information of inclinator from MCU unit 4, be used for angle information is sent to Ethernet.
The MCU4 of built-in 24bitAD can carry out angular transition to signal after the digital processing, then can utilize outside high-precision digital display graduation rotating platform that obliquity sensor is made the required data of linear compensation and test.The MCU4 of built-in 24bit AD utilizes inner least square method algorithm to the on-line testing data operation, calculates suitable linear calibration's coefficient, and is stored in the Flash Data storage space of opening up MCU inside.After measuring each time, linear calibration's coefficient that the MCU4 of built-in 24bit AD utilizes calculated in advance to go out is made linear compensation to the angle-data of measuring, and reaches the purpose of the linearity that improves measurement of dip angle.
The linear compensation method of described processor comprises: to one group of standard value a 1, a 2, a 3..., a k, and the actual measurement gained one class value b to organizing standard value 1, b 2, b 3..., b k, simulate a polynomial expression a according to two class values i=F (b i), i=1...k, i.e. f=k 0+ k 1C+k 2C 2+ k 3C 3+ ...+k mC m, k 0, k 1, k 2, k 3..., k mBe multinomial coefficient, C=a 1, a 2, a 3..., a kUtilize the least square method algorithm, find the solution the coefficient k of fitting of a polynomial 0, k 1, k 2, k 3..., k m, the MCU program of processor is solidified this polynomial expression wherein, and utilizes this polynomial expression that the data that gather are carried out polynomial computation, i.e. compensation data.
In addition, described Digitalized intelligent clinometer further comprises high low temperature sweat box, does compensation in order to the temperature at zero point of inclinator is floated float with Sensitivity Temperature.Utilize the high low temperature experimental box of external unit that core high precision MEMS obliquity sensor 1 is done temperature compensation test (Sensitivity Temperature is floated, zero point temperature float), built-in 24bitMCU4 utilize inner least square method algorithm to online to test data process, computing, calculate temperature compensation coefficient, and be stored in the storage space of opening up inside, later on every-inferior measurement data output all can by the temperature compensation coefficient correction, can reduce temperature to the impact of sensor well.
The zero point temperature drift compensation method comprises: humid test is done in the output at zero point to inclinator, export the variation of temperature influence the zero point of measuring inclinator, utilize least square fitting to go out polynomial relation formula between zero point output and the temperature variation, Z=Z (T), i.e. Z (T)=k 0+ k 1T+k 2T 2+ k 3T 3+ ...+k mT m, wherein, k 0, k 1, k 2, k 3..., k mBe multinomial coefficient; Utilize the least square method algorithm, find the solution the coefficient k of fitting of a polynomial 0, k 1, k 2, k 3..., k m, the MCU program of processor is solidified this polynomial expression wherein, and utilizes this relational expression that compensation is done in output at zero point.
The compensation of α TCS method comprises: humid test is done in the sensitivity to inclinator, measure the variation of the sensitivity temperature influence of inclinator, utilize least square fitting to go out polynomial relation formula between sensitivity and the temperature variation, S=S(T), i.e. S (T)=k 0+ k 1T+k 2T 2+ k 3T 3+ ...+k mT m, wherein, k 0, k 1, k 2, k 3..., k mBe multinomial coefficient; Utilize the least square method algorithm, find the solution the coefficient k of fitting of a polynomial 0, k 1, k 2, k 3..., k m, the MCU program of processor is solidified this polynomial expression wherein, and utilizes this relational expression that compensation is done in sensitivity.
Above-mentioned three compensation process have used least square method; In three compensation process, polynomial coefficient k 0, k 1, k 2, k 3..., k mCalculate polynomial coefficient k in three compensation process according to actual conditions 0, k 1, k 2, k 3..., k mAnd do not require equal.
More than introduced the composition of the utility model Digitalized intelligent clinometer, the utility model also discloses the measuring method that a kind of above-mentioned Digitalized intelligent clinometer is combined with Ethernet when disclosing above-mentioned Digitalized intelligent clinometer; See also Fig. 2, described measuring method comprises the steps:
[step S1] obliquity sensor provides high-resolution angle of inclination, and filter unit is to the simulating signal filtering of obliquity sensor output;
[step S2] processor carries out the high precision analogue conversion to the simulating signal through filtering of obliquity sensor output, does digital signal filtering in processor, reaches to reflect truly inclination angle output information;
The signal of [step S3] processor after to digital processing carries out angular transition, utilizing outside high-precision digital display graduation rotating platform that obliquity sensor is made the required data of linear compensation tests, described processor utilizes the least square method algorithm to the on-line testing data operation, calculate suitable linear calibration's coefficient, and be stored in the storage space in the processor;
After [step S4] measured each time, linear calibration's coefficient that processor utilizes calculated in advance to go out was made linear compensation to the angle-data of measuring, and reaches the purpose of the linearity that improves measurement of dip angle.
After [step S5] measured each time, the Ethernet unit obtained roll, the luffing angle information of obtaining inclinator from processor, was used for reaching the purpose of measurement of angle remote monitoring.
[step S6] processor can be again sends roll, luffing angle information with the form of various interface purpose.
In sum, the intelligent inclinator that the utility model proposes can provide the high precision angle remote monitoring of roll, pitching, can satisfy commercial Application, study the in one's power remote measurement application demand of military project unit.Simultaneously, the utility model provides the angle of measuring body roll, pitching with Ethernet and obliquity sensor perfect adaptation together, realizes powerful remote measurement and control function, relatively has Digital Dipmeter now and has a clear superiority in.
Rigid good, not yielding, the high-low temperature resistant of the utility model Digitalized intelligent clinometer, good airproof performance; The Ethernet interface is provided, can powers by the POE mode.
In addition, the utility model Digital Dipmeter in house software is integrated from calibration algorithm, and externally shirtsleeve operation realizes the digital automatic Calibration of Digital Dipmeter itself.
Here description of the present utility model and application is illustrative, is not to want with scope restriction of the present utility model in the above-described embodiments.Here the distortion of disclosed embodiment and change is possible, and the various parts of the replacement of embodiment and equivalence are known for those those of ordinary skill in the art.Those skilled in the art are noted that in the situation that does not break away from spirit of the present utility model or essential characteristic, and the utility model can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.In the situation that does not break away from the utility model scope and spirit, can carry out other distortion and change to disclosed embodiment here.

Claims (8)

1. an inclinator is characterized in that, described inclinator comprises:
Obliquity sensor is in order to provide high-resolution angle of inclination;
Filter unit is connected with described obliquity sensor, in order to the simulating signal of described obliquity sensor output is carried out filtering;
Processor, be connected with described filter unit, in order to simulating signal obliquity sensor output, process filtering is carried out the high precision analogue conversion, in processor, do digital signal filter, reflect truly inclination angle output information, and the signal after the digital processing is carried out angular transition;
Digital display graduation rotating platform is connected with described processor, tests in order to biography inclination angle sensor is made the required data of linear compensation, calculates suitable linear calibration's coefficient; Linear calibration's coefficient that described processor further utilizes digital display graduation rotating platform to calculate is made linear compensation to the angle-data of measuring;
Network element is connected with described processor, in order to network transmission function to be provided, so that inclinator is connected with a main frame by network element, will measures the body angle-data and be sent to this main frame.
2. inclinator according to claim 1 is characterized in that:
Described inclinator also comprises power-supply system, is connected with described obliquity sensor, filter unit, processor, digital display graduation rotating platform, network element, and in order to power supply to be provided, the POE mode by Ethernet obtained of power supply.
3. inclinator according to claim 1 is characterized in that:
Described filter unit is the hardware filtering unit, in order to filtering in the simulating signal bandwidth that obliquity sensor is exported.
4. inclinator according to claim 1 is characterized in that:
Described inclinator further comprises high low temperature sweat box, does compensation in order to the temperature at zero point of inclinator is floated.
5. inclinator according to claim 1 is characterized in that:
Described inclinator further comprises high low temperature sweat box, does compensation in order to the Sensitivity Temperature of inclinator is floated.
6. inclinator according to claim 1 is characterized in that:
Described processor is the MCU of built-in 24bit analog-to-digital conversion unit AD.
7. inclinator according to claim 1 is characterized in that:
Described processor is connected with digital display graduation rotating platform, network element, in order to roll, the pitch attitude information of obtaining inclinator, and angle information is sent to network element, by network element the attitude angle information of roll, pitching is sent to described main frame.
8. inclinator according to claim 1 is characterized in that:
Described network element is built-in Ethernet module, is connected with processor by digital serial interface.
CN 201220346768 2012-07-17 2012-07-17 Clinometer Expired - Fee Related CN202710050U (en)

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Application Number Priority Date Filing Date Title
CN 201220346768 CN202710050U (en) 2012-07-17 2012-07-17 Clinometer

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Application Number Priority Date Filing Date Title
CN 201220346768 CN202710050U (en) 2012-07-17 2012-07-17 Clinometer

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103148871A (en) * 2013-03-27 2013-06-12 中国地震局地震研究所 Micro-incline generation device for field proving of clinometer

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103148871A (en) * 2013-03-27 2013-06-12 中国地震局地震研究所 Micro-incline generation device for field proving of clinometer
CN103148871B (en) * 2013-03-27 2015-05-20 中国地震局地震研究所 Micro-incline generation device for field proving of clinometer

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C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130130

Termination date: 20150717

EXPY Termination of patent right or utility model