CN106802158A - A kind of drift visualizer tests appraisal procedure - Google Patents
A kind of drift visualizer tests appraisal procedure Download PDFInfo
- Publication number
- CN106802158A CN106802158A CN201710033112.0A CN201710033112A CN106802158A CN 106802158 A CN106802158 A CN 106802158A CN 201710033112 A CN201710033112 A CN 201710033112A CN 106802158 A CN106802158 A CN 106802158A
- Authority
- CN
- China
- Prior art keywords
- drift
- visualizer
- drift visualizer
- data
- software
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C25/00—Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/18—Testing or calibrating meteorological apparatus
Abstract
The present invention provides a kind of drift visualizer test appraisal procedure, including：Scopic hardware fault information of drifting about is obtained, drift visualizer hardware reliability parameter is obtained；Scopic software fault information of drifting about is obtained, with reference to software fault information and software restoration information, drift visualizer software reliability parameter is obtained；The scopic scarce survey rate of drift is obtained and calculated, drift visualizer data integrity parameter is calculated according to scarce survey rate；The comparison data that drift about scopic measurement data and boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument are measured is obtained, measurement data is compared with comparison data, it is determined that drift visualizer measurement data accuracy parameter；Summation is weighted to hardware reliability parameter, software reliability parameter, data integrity parameter and measurement data accuracy parameter, drift visualizer test assessment result is obtained.
Description
Technical field
The present invention relates to oceanographic observation equipment manufacturing technology field, a kind of drift visualizer test assessment side is particularly related to
Method.
Background technology
In recent years, drift visualizer is that one kind can be while observe the meteorological elements such as temperature, air pressure, wind and Hai Wen, sea salt
Deng the drifting buoy equipment of the important plain parameter in ocean, with respect to anchored buoy, monitoring cost is low, high efficiency, can be used as a kind of consumptive material
In class buoy prolonged application Yu Haiyang meteorological observation.Existing drift visualizer, when in use, often breaks down or measures number
According to inaccurate situation, using and observing for equipment has been had a strong impact on.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of drift visualizer test appraisal procedure, is capable of Comprehensive
Test assessment is carried out to drift visualizer.
In order to solve the above technical problems, embodiments of the invention provide a kind of drift visualizer test appraisal procedure, it is described
Drift visualizer test appraisal procedure includes：
Drift visualizer is discharged into marine site, anchored buoy is set in drift visualizer surrounding waters, observed drifting about
The test ship of instrument surrounding waters sets boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument；
Scopic hardware fault information of drifting about is obtained, it is scopic average to calculate drift according to the hardware fault information
Time between failures, obtains drift visualizer hardware reliability parameter；
Scopic software fault information of drifting about is obtained, is repaired according to software fault information, obtain software reparation letter
Breath, with reference to software fault information and software restoration information, obtains drift visualizer software reliability parameter；
The scopic scarce survey rate of drift is obtained and calculated, drift visualizer data is calculated according to the scarce survey rate complete
Property parameter；
Obtain drift about scopic measurement data and boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument
The comparison data for measuring, the measurement data is compared with the comparison data, it is determined that drift visualizer measurement number
According to accuracy parameter；
The hardware reliability parameter, software reliability parameter, data integrity parameter and measurement data accuracy are joined
Number is weighted summation, obtains drift visualizer test assessment result.
Preferably, it is described that drift visualizer is discharged into marine site, in drift visualizer surrounding waters, anchored buoy is set,
Test ship in drift visualizer surrounding waters sets boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument, bag
Include：
At least two observation vessels are set, and one is used to discharge drift visualizer and anchored buoy, and one is used to carry boat-carrying
Automatic weather station, GPS locator and extra large thermohaline degree measuring instrument.
Preferably, at least two drift visualizers are discharged.
Preferably, the hardware fault information includes drift visualizer test time, the fault time of hardware, failure
Phenomenon, failure cause, guilty culprit position, method of fixing a breakdown, fix a breakdown time used, instrument and instrument.
Preferably, the MTBF is the average time between adjacent hardware fault twice, using regulation
Testing time in drift visualizer occur total hardware fault number divided by test total time calculate, it is described test total time for survey
Each drift visualizer normal working hours summation of examination.
Preferably, the fault time of the software fault information including software, phenomenon of the failure, failure cause, fix a breakdown
Method and time；
It is described to be repaired according to software fault information, software restoration information is obtained, including：
The scopic any software fault of drift of test should all be repaired in testing, and to whether repairing and verifying,
Its checking is carried out in testing, is examined after software fault reparation, if the normal working hours for continuing examination after repairing is more than
Original software fault interlude, it is considered that repaired, does not re-record chargeable fault.
Preferably, the scarce survey rate surveys number of times and the ratio that should survey number of times for data lack；
The acquisition simultaneously calculates the scopic scarce survey rate of drift, including：
The acquisition simultaneously calculates the drift scopic moon scarce survey rate and always scarce survey rate, lacks survey rate the moon and is surveyed for moon observation lacks
Number of times and the ratio that should observe total degree the moon, always scarce survey rate is always to lack to survey number of times and the ratio that should observe total degree during testing.
Preferably, the scopic measurement data of drifting about includes temperature, air pressure, wind, Hai Wen, sea salt parameter；
The scopic measurement data of drifting about that obtains includes：
Obtain the measurement data under the free drift state of drift visualizer；
Obtain the measurement data under drift visualizer anchoring states.
Preferably, the measurement data is compared with the comparison data, it is determined that drift visualizer measurement number
According to accuracy parameter, including
For the measurement data and the comparison data, its data dependence and error condition are analyzed, obtain and calculate
Measurement data and comparison data contrast difference, average value, the standard deviation of contrast difference；
Determine that drift visualizer measurement data is accurate according to the contrast difference, the average value of contrast difference, standard deviation
Property parameter.
Preferably, it is described to obtain and computation and measurement data and comparison data contrast difference, average value, the standard of contrast difference
Deviation, including：
The average value of contrast difference is calculated using following formula：
Standard deviation is calculated using following formula：
Wherein, xiMeasurement data, yiIt is comparison data.
Above-mentioned technical proposal of the invention has the beneficial effect that：
In such scheme, by scopic hardware fault information, software fault information, the data integrity information of drifting about
It is analyzed with data accuracy parameter, comprehensive analysis drift visualizer, analyzes more comprehensive accurate and effective.
Brief description of the drawings
Fig. 1 is the drift visualizer test appraisal procedure steps flow chart block diagram of the embodiment of the present invention；
Fig. 2 tests the drift visualizer and two anchored buoy numbers of appraisal procedure for the drift visualizer of the embodiment of the present invention
According to temperature and air Temperature Difference comparison diagram；
Fig. 3 tests the drift visualizer and two anchored buoy numbers of appraisal procedure for the drift visualizer of the embodiment of the present invention
According to temperature and air Temperature Difference comparison diagram；
Fig. 4 tests the drift visualizer and two anchored buoy numbers of appraisal procedure for the drift visualizer of the embodiment of the present invention
According to air pressure and draught head comparison diagram；
Fig. 5 tests the drift visualizer and two anchored buoy numbers of appraisal procedure for the drift visualizer of the embodiment of the present invention
According to air pressure and draught head comparison diagram；
Fig. 6 tests the drift visualizer temperature comparison chart of appraisal procedure for the drift visualizer of the embodiment of the present invention；
Fig. 7 changes over time figure for the temperature difference of the drift visualizer test appraisal procedure of the embodiment of the present invention；
Fig. 8 tests the drift visualizer air pressure comparison chart of appraisal procedure for the drift visualizer of the embodiment of the present invention；
Fig. 9 changes over time figure for the draught head of the drift visualizer test appraisal procedure of the embodiment of the present invention；
Figure 10 is the drift visualizer sea temperature comparison chart of the drift visualizer test appraisal procedure of the embodiment of the present invention；
Figure 11 changes over time figure for the Hai Wen of the drift visualizer test appraisal procedure of the embodiment of the present invention；
Figure 12 tests the drift visualizer salinity comparison chart of appraisal procedure for the drift visualizer of the embodiment of the present invention；
Figure 13 is the drift visualizer salinity interpolation of the drift visualizer test appraisal procedure of the embodiment of the present invention with the time
Variation diagram.
Specific embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and tool
Body embodiment is described in detail.
As shown in figure 1, a kind of drift visualizer test appraisal procedure of the embodiment of the present invention, the drift visualizer test
Appraisal procedure includes：
Step 101:Drift visualizer is discharged into marine site, anchored buoy is set in drift visualizer surrounding waters,
The test ship of drift visualizer surrounding waters sets boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument；
Step 102:Scopic hardware fault information of drifting about is obtained, observation of drifting about is calculated according to the hardware fault information
The MTBF of instrument, obtain drift visualizer hardware reliability parameter；
Step 103:Scopic software fault information of drifting about is obtained, is repaired according to software fault information, obtained soft
Part restoration information, with reference to software fault information and software restoration information, obtains drift visualizer software reliability parameter；
Step 104:The scopic scarce survey rate of drift is obtained and calculated, drift visualizer is calculated according to the scarce survey rate
Data integrity parameter；
Step 105:Obtain drift about scopic measurement data and boat-carrying automatic weather station, GPS locator and extra large thermohaline degree
The comparison data that measuring instrument is measured, the measurement data is compared with the comparison data, it is determined that observation of drifting about
Instrument measurement data accuracy parameter；
Step 106:To the hardware reliability parameter, software reliability parameter, data integrity parameter and measurement data
Accuracy parameter is weighted summation, obtains drift visualizer test assessment result.
The drift visualizer test appraisal procedure of the embodiment of the present invention, by the scopic hardware fault information of drifting about,
Software fault information, data integrity information and data accuracy parameter are analyzed, comprehensive analysis drift visualizer, and analysis is more
Plus comprehensive accurate and effective.
The drift visualizer test appraisal procedure of the embodiment of the present invention, in step 101：
It is described that drift visualizer is discharged into marine site, in drift visualizer surrounding waters, anchored buoy is set, drifting about
The test ship of visualizer surrounding waters sets boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument, including：
At least two observation vessels are set, and one is used to discharge drift visualizer and anchored buoy, and one is used to carry boat-carrying
Automatic weather station, GPS locator and extra large thermohaline degree measuring instrument.Preferably, at least two drift visualizers are discharged.
In step 102：
The MTBF is the average time between adjacent hardware fault twice, during using the test for specifying
Total hardware fault number that interior drift visualizer occurs is calculated divided by test total time, and the test total time is each of test
Drift visualizer normal working hours summation.
Wherein, the hardware fault information includes that drift visualizer test time, the fault time of hardware, failure are existing
As, failure cause, guilty culprit position, method of fixing a breakdown, fix a breakdown time used, instrument and instrument.
Specifically, the time of origin of failure should be counted from failure instrument cut-in time every time.Because of operating personnel's fault,
Hardware maintenance, power failure, direct stroke or it is paroxysmal irresistible the reason for etc. cause data fault, should not count responsibility therefore
Barrier, the failure for participating in statistics should be by instrument that defect is caused in itself.If tested in multiple websites, the number of stoppages should be
The failure total degree of all site records, the testing time should be the summation of all websites all tester normal working hourss,
MTBF should be the total failare number of all testers divided by all summations by test instrument normal working hours.
For the judgement of failure, should be according to the definition of failure.Fault definition be tester regulation condition of work under,
Within the testing time of regulation, it is impossible to which completing its technical requirement should possess the phenomenon of function, including component damage, go out
Now abnormal data etc., if occur the situation for jeopardizing the testing crew person or tester safety in experiment, or tester is complete
Total loss ruin must return repair in shop it is multiple as critical failure process, be directly judged to that reliability is unqualified.
In step 103：
It is described to be repaired according to software fault information, software restoration information is obtained, including：
The scopic any software fault of drift of test should all be repaired in testing, and to whether repairing and verifying,
Its checking is carried out in testing, is examined after software fault reparation, if the normal working hours for continuing examination after repairing is more than
Original software fault interlude, it is considered that repaired, does not re-record chargeable fault.
Wherein, the software fault information includes fault time, phenomenon of the failure, failure cause, the side of fixing a breakdown of software
Method and time；
Specifically, the reliability of tester hardware and software can be examined independently, the reliability of software is using single
Solely the method for statistics is examined.
The single algorithm error of drift visualizer and whole software faults belong to software fault, when should record failure in detail
Between, phenomenon of the failure, failure cause, method of fixing a breakdown and time.Drifting about scopic any software fault all should be in testing
Repair, if reparation should be verified that its checking is carried out in test, should all be examined after each software fault reparation, if
Continue the time of the normal working hours more than original between-failures of examination after reparation, be just considered as repaired, do not re-record
Chargeable fault.
If software fault is not solved in test, as critical failure process, be judged to as hardware fault by
Test instrument is unqualified.
In step 104：
The scarce survey rate lacks survey number of times and the ratio that should survey number of times for data；
The acquisition simultaneously calculates the scopic scarce survey rate of drift, including：
The acquisition simultaneously calculates the drift scopic moon scarce survey rate and always scarce survey rate, lacks survey rate the moon and is surveyed for moon observation lacks
Number of times and the ratio that should observe total degree the moon, always scarce survey rate is always to lack to survey number of times and the ratio that should observe total degree during testing.
Because of operating personnel's fault, hardware maintenance, power failure, the shortage of data that the reason such as computer glitch is caused, be not counted in therefore
Barrier and scarce survey count, by normal process.
In step 105：
The scopic measurement data of drifting about that obtains includes：
Obtain the measurement data under the free drift state of drift visualizer；
Obtain the measurement data under drift visualizer anchoring states.
Wherein, the scopic measurement data of drifting about includes temperature, air pressure, wind, Hai Wen, sea salt parameter；Anchored buoy,
The comparison data that boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument are measured is corresponding with measurement data.
Preferably, the measurement data is compared with the comparison data, it is determined that drift visualizer measurement number
According to accuracy parameter, including
For the measurement data and the comparison data, its data dependence and error condition are analyzed, obtain and calculate
Measurement data and comparison data contrast difference, average value, the standard deviation of contrast difference；
Determine that drift visualizer measurement data is accurate according to the contrast difference, the average value of contrast difference, standard deviation
Property parameter.
Specifically, described obtain and computation and measurement data and comparison data contrast difference, average value, the standard of contrast difference
Deviation, including：
The average value of contrast difference is calculated using following formula：
Standard deviation is calculated using following formula：
Wherein, xiMeasurement data, yiIt is comparison data.
The drift visualizer test appraisal procedure of the embodiment of the present invention, is once tested：
Experiment basic condition
According to the exploitation of maritime meteorology drift visualizer and application item advance request, by May, 2016, project team is
Worked through completing the maritime meteorology scopic equipment development of drift, by indoor and online testing, had been provided with carrying out
The condition of sea examination, based on case above, project team determines that carrying out extra large trial work in China coastal seas selected part marine site makees, main purpose
It is that experiment is laid by sea, meteorological drift visualizer ocean dynamic property of being drifted about to ocean is detected, checks product in sea
Instrument performance under foreign environment.
Test for the first time
Testing time：- 28 days on the 27th May in 2016
Test site：Shandong Province Weihai offshore sea waters
Test process：
7:Reached before 00 and specify test site, 7：40 lay into seawater, carry out marine experiment of freely drifting about；
Data upload Beijing Center station normally, and 14 points are terminated, drift visualizer water outlet.
14:45 reach anchorage, and drift visualizer descends water again, and grappling carries out grappling testing experiment.
15:20 data are effectively uploaded to Beijing Center station, make a return voyage.
Test for second
Testing time：- 4 days on the 3rd July in 2016
Test process：
Duration：24 hours
Test site：Shandong Province Weihai offshore sea waters
Weather conditions：Weather：It is fine, Oversea wind：3-4 grades, wave：Slight sea.
The remote distant harbour of In Shandong Weihai is arrived at during the morning 8 on the 3rd of July in 2016.
Equipment shipment is finished when 9, formally sails to set out.
The equipment of carrying out testing and debugging, mainly includes：
1. hand-held hydrometeorology monitor is aboard ship installed；
2. the gps antenna mounting means in Weihai 2 is adjusted；
3. the baroceptor part in Changping 1 is changed.
Ship is laid when 10 arrive at and lay marine site, equipment adjustment is finished, and equipment is working properly.
10 points during 2016-07-3 10, the drifting buoy of Weihai 2 formally enters sub-sea.
Good from on-test sea situation, effective observation data of 30 subsets upload normal, central station data receiver when 10
Normally.
Night equipment under test is working properly, and navigation light is glittering normal, and sea ship is few.
Morning July 4, sea starts to haze, and relatively denser, and monitoring ship frequent starting follows the trail of tested buoy.
When July 4 day 4: 50 assigns to 5 20 by stages between, Weihai photosensitive part of No. 2 drifting buoys adjustment navigation light is picked up, to protect
Hold navigation light can continue to it is glittering.
After when 8, marine mist disperses gradually.
After 10 points of test data is uploaded when 10,20 separately begin equipment under test to pick up to go to sea when 10, visually inspect floating
The phenomenon do not intake in mark ball and seeped water occurs.
Lay ship and turn to anchor system experiment marine site.
Ship arrival is laid when 12 and lays marine site, put down anchor.The float device anchor of Weihai 2 is tied up to experiment marine site.
Drift about to test and formally terminate in ocean.
Data source
The data of sea examination for the first time
(1) data of drift visualizer observation, including floating state and anchorage state, altogether 27 hour data.
(2) ocean office anchored buoy (2.5 meters of diameter) data, nearer with drift visualizer position.
(3) weather bureau's anchored buoy station data, with experiment drift visualizer distance about 38km.
Second sea examination data
(1) data of drift visualizer observation, including floating state and anchorage state, an instrument is in marine a, instrument
Device aboard ship, 27 hour data altogether.
(2) synchronous comparison data：Boat-carrying Data of Automatic Weather and boat-carrying sea thermohaline degree measuring apparatus.
Data analysis
The data of sea examination for the first time
(1) temperature：
As shown in Figures 2 and 3, in drift visualizer free floating condition, drift visualizer is consistent with ocean innings buoy data
Property preferably, after anchorage, temperature differ 3 DEG C within, general morphologictrend uniformity preferably, this can be due to edge closer to the distance
Therefore.Compared with the data of weather bureau's anchored buoy station, the temperature of drift visualizer measurement is higher.
Judged according to the field condition during experiment, morning wind speed is smaller, solar radiation condition is preferable, after noon, day
Empty cloud layer becomes many (10 one-tenth clouds) suddenly, and solar radiation is weaker, but finds that drift visualizer temperature has by the temperature record observed
Small size elevated process, accordingly, it would be desirable to more data are supported to judge air-temperature sensor performance, in addition, radiation is observed drifting about
The influence of instrument temperature measurement also needs further research.
(2) air pressure：
As shown in Figures 4 and 5, drift visualizer is more consistent with the atmospheric pressure value that weather bureau's anchored buoy station is observed.Ocean office is floating
Mark has the nearly reduction of 12hPa in one day, changes greatly.
In drift visualizer free floating condition, drift visualizer has different with weather bureau's anchored buoy station data,
But anchorage state, both uniformity are preferable.
Drift visualizer air pressure and about 1 meter or so of the difference in height of weather bureau's buoy baroceptor, can cause about
The draught head of 0.1hPa；In addition, drift visualizer air pressure algorithm and anchored buoy air pressure algorithm have certain difference, therefore both it
Between can there is some difference.
Second sea examination data
(1) temperature：
As shown in fig. 6,10:30 first three instrument all aboard ship, the environment of instrument placement location difference, boat-carrying
Automatic Weather Station temperature is relatively low, it may be possible to because kept off by puggaree on ship, causes temperature relatively low, and two drift visualizers are placed
Location circumstances are also different, therefore have a little difference.
As shown in fig. 7,10:30 latter drift visualizer be put into it is marine after, survey temperature and tend towards stability, 18:After 00
Solar radiation reduction, it is close that three surveys temperature.6 points of solar radiations later on the 4th start enhancing, and boat-carrying automatic Weather Station temperature is less than drift
Stream visualizer temperature.Be can be seen that by data above, when solar radiation is weaker, three's uniformity is preferable, when solar radiation is stronger,
Boat-carrying automatic Weather Station temperature is significant lower, therefore, influence of the radiation to the measurement of drift visualizer temperature also needs further research.
(2) air pressure：
As shown in FIG. 8 and 9, boat-carrying drift visualizer is consistent with boat-carrying automatic Weather Station atmospheric pressure trends, is more or less the same, in instrument
In the range of device accuracy of measurement (± 1hPa).
(3) Hai Wen：
As shown in FIG. 10 and 11,3 days 10:00 to 16:30, need extra large temperature sensor to take out during due to test vessel shift position
Come, thus resulting in boat-carrying sea temperature value there are some to be mutated.Data display, the sea that drift visualizer Hai Wen is surveyed with boat-carrying sea temperature sensor
Warm data are basically identical, but drift visualizer surveys data and still has some data relatively low, can adjust algorithm, further improve sensing
Device precision.
(4) salinity：
As shown in Figures 12 and 13, drift visualizer is more consistent with the salt angle value that boat-carrying automatic Weather Station is measured.Shipboard instrument data
Discontinuously the reason for is due to that when test vessel is fast forwarded through, need to pack up sensor, so as to cause partial data to lack.Data show
Show, variation tendency is consistent, and electrical conductivity difference is smaller.
1 conclusion (of pressure testing)
Recent sea trial twice, the whole machine operation conditions of engineering prototype equipment is good, completes testing program setting
Task, achieves the observation data of more than 20 hours.
Experiment for the first time make use of marine existing anchored buoy data as ginseng because lacking parallel comparative observation instrument
Examine, data analysis shows, air pressure, air-temperature sensor marine environment adaptability are good.Second experiment is tested by redesigning
Scheme, used as reference, process of the test is complete, and observation data communication is effective in real time for automatic hydrometeorology visualizer in a handheld.
Data analysis shows that sensor, acquisition system, solar electric power supply system, Big Dipper communication system and data receiver are put down
Platform is working properly, and marine environment adaptability is good,；Each key element measurement result variation tendency is consistent, the normative reference phase with setting
Than, temperature measurement result when radiating weaker accuracy of measurement within ± 0.5 DEG C；Barometric surveying result precision ±
Within 0.5hPa, need to carry out and test further the result in the seawater；Extra large temperature measurement result major part data accuracy ±
Within 0.1 DEG C, further research need to be carried out for algorithm；The requirement of salinity test result partial data satisfaction ± 0.05mS/cm.
Later stage according to result of the test, and will accumulate more data, carry out comprehensive assessment and analysis.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, on the premise of principle of the present invention is not departed from, some improvements and modifications can also be made, these improvements and modifications
Should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of drift visualizer tests appraisal procedure, it is characterised in that the drift visualizer test appraisal procedure includes：
Drift visualizer is discharged into marine site, anchored buoy is set in drift visualizer surrounding waters, it is attached in drift visualizer
The test ship in coastal waters domain sets boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument；
Scopic hardware fault information of drifting about is obtained, the scopic mean failure rate that drifts about is calculated according to the hardware fault information
Interval time, obtain drift visualizer hardware reliability parameter；
Scopic software fault information of drifting about is obtained, is repaired according to software fault information, obtain software restoration information, knot
Software fault information and software restoration information are closed, drift visualizer software reliability parameter is obtained；
The scopic scarce survey rate of drift is obtained and calculated, drift visualizer data integrity ginseng is calculated according to the scarce survey rate
Number；
Obtain the scopic measurement data of drift and boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument are measured
Comparison data, the measurement data is compared with the comparison data, it is determined that drift visualizer measurement data is accurate
True property parameter；
The hardware reliability parameter, software reliability parameter, data integrity parameter and measurement data accuracy parameter are entered
Row weighted sum, obtains drift visualizer test assessment result.
2. drift visualizer according to claim 1 tests appraisal procedure, it is characterised in that described to release drift visualizer
It is put into marine site, anchored buoy is set in drift visualizer surrounding waters, the test ship in drift visualizer surrounding waters is set
Boat-carrying automatic weather station, GPS locator and extra large thermohaline degree measuring instrument, including：
At least two observation vessels are set, and one is used to discharge drift visualizer and anchored buoy, and one automatic for carrying boat-carrying
Weather station, GPS locator and extra large thermohaline degree measuring instrument.
3. drift visualizer according to claim 2 tests appraisal procedure, it is characterised in that release at least two is drifted about and seen
Survey instrument.
4. drift visualizer according to claim 1 tests appraisal procedure, it is characterised in that the hardware fault packet
Include drift visualizer test time, the fault time of hardware, phenomenon of the failure, failure cause, guilty culprit position, exclusion event
Barrier method, fix a breakdown time used, instrument and instrument.
5. drift visualizer according to claim 4 tests appraisal procedure, it is characterised in that during the mean time between failures
Between be average time between adjacent hardware fault twice, the total hardware occurred using drift visualizer in the testing time of regulation
Number of faults is calculated divided by test total time, and the test total time is that each drift visualizer normal working hours of test is total
With.
6. drift visualizer according to claim 1 tests appraisal procedure, it is characterised in that the software fault packet
Include fault time, phenomenon of the failure, failure cause, method of fixing a breakdown and the time of software；
It is described to be repaired according to software fault information, software restoration information is obtained, including：
The scopic any software fault of drift of test should all be repaired in testing, and whether to repairing and verifying, it is tested
Card is carried out in testing, is examined after software fault reparation, if continuing the normal working hours of examination after repairing more than original
Software fault interlude, it is believed that repaired, does not re-record chargeable fault.
7. drift visualizer according to claim 1 tests appraisal procedure, it is characterised in that the scarce survey rate lacks for data
Survey number of times and the ratio that number of times should be surveyed；
The acquisition simultaneously calculates the scopic scarce survey rate of drift, including：
The acquisition simultaneously calculates the drift scopic moon scarce survey rate and always scarce survey rate, lacks survey rate the moon and surveys number of times for moon observation lacks
With the ratio that the moon should observe total degree, always scarce survey rate is always to lack to survey number of times and the ratio that should observe total degree during testing.
8. drift visualizer according to claim 1 tests appraisal procedure, it is characterised in that the scopic survey of drift
Amount data include temperature, air pressure, wind, Hai Wen, sea salt parameter；
The scopic measurement data of drifting about that obtains includes：
Obtain the measurement data under the free drift state of drift visualizer；
Obtain the measurement data under drift visualizer anchoring states.
9. drift visualizer according to claim 8 tests appraisal procedure, it is characterised in that by the measurement data and institute
Comparison data is stated to compare, it is determined that drift visualizer measurement data accuracy parameter, including
For the measurement data and the comparison data, its data dependence and error condition are analyzed, obtained and computation and measurement
Data and comparison data contrast difference, average value, the standard deviation of contrast difference；
Determine that drift visualizer measurement data accuracy is joined according to the contrast difference, the average value of contrast difference, standard deviation
Number.
10. drift visualizer according to claim 9 tests appraisal procedure, it is characterised in that the acquisition simultaneously calculates survey
Amount data and comparison data contrast difference, average value, the standard deviation of contrast difference, including：
The average value of contrast difference is calculated using following formula：
Standard deviation is calculated using following formula：
Wherein, xiMeasurement data, yiIt is comparison data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710033112.0A CN106802158A (en) | 2017-01-18 | 2017-01-18 | A kind of drift visualizer tests appraisal procedure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710033112.0A CN106802158A (en) | 2017-01-18 | 2017-01-18 | A kind of drift visualizer tests appraisal procedure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106802158A true CN106802158A (en) | 2017-06-06 |
Family
ID=58984359
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710033112.0A Pending CN106802158A (en) | 2017-01-18 | 2017-01-18 | A kind of drift visualizer tests appraisal procedure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106802158A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110208884A (en) * | 2019-07-08 | 2019-09-06 | 山东省气象局大气探测技术保障中心 | A kind of boat-carrying automatic weather station test appraisal procedure |
| CN111488273A (en) * | 2020-03-18 | 2020-08-04 | Oppo（重庆）智能科技有限公司 | Test verification method, test verification device, storage medium, and electronic apparatus |
| CN112463591A (en) * | 2020-11-12 | 2021-03-09 | 武汉市农业科学院 | Agricultural Internet of things system evaluation method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102079363A (en) * | 2009-11-27 | 2011-06-01 | 中国科学院海洋研究所 | Anchoring ocean observation and research buoy laying system and method based on small-sized ship |
| CN103914353A (en) * | 2014-04-17 | 2014-07-09 | 北京航空航天大学 | Combined test method for combining software reliability tests with hardware reliability tests |
| EP2802092A1 (en) * | 2013-05-06 | 2014-11-12 | ATLAS Elektronik GmbH | System and method for seafloor exploration |
| CN105244805A (en) * | 2015-10-14 | 2016-01-13 | 国家电网公司 | Laser radar-based intelligent early-warning evaluation method and system for power transmission line |
| CN106023530A (en) * | 2016-06-07 | 2016-10-12 | 长安大学 | Heavy rain type diluted debris flow monitoring, forecast and early warning device and method |
-
2017
- 2017-01-18 CN CN201710033112.0A patent/CN106802158A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102079363A (en) * | 2009-11-27 | 2011-06-01 | 中国科学院海洋研究所 | Anchoring ocean observation and research buoy laying system and method based on small-sized ship |
| EP2802092A1 (en) * | 2013-05-06 | 2014-11-12 | ATLAS Elektronik GmbH | System and method for seafloor exploration |
| CN103914353A (en) * | 2014-04-17 | 2014-07-09 | 北京航空航天大学 | Combined test method for combining software reliability tests with hardware reliability tests |
| CN105244805A (en) * | 2015-10-14 | 2016-01-13 | 国家电网公司 | Laser radar-based intelligent early-warning evaluation method and system for power transmission line |
| CN106023530A (en) * | 2016-06-07 | 2016-10-12 | 长安大学 | Heavy rain type diluted debris flow monitoring, forecast and early warning device and method |
Non-Patent Citations (2)
| Title |
|---|
| 张川等: "ARGO浮标海上比测试验研究", 《海洋技术》 * |
| 李肖霞等: "天气现象自动化观测仪器评估方法", 《气象水文海洋仪器》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110208884A (en) * | 2019-07-08 | 2019-09-06 | 山东省气象局大气探测技术保障中心 | A kind of boat-carrying automatic weather station test appraisal procedure |
| CN110208884B (en) * | 2019-07-08 | 2021-03-30 | 山东省气象局大气探测技术保障中心 | Shipborne automatic weather station test evaluation method |
| CN111488273A (en) * | 2020-03-18 | 2020-08-04 | Oppo（重庆）智能科技有限公司 | Test verification method, test verification device, storage medium, and electronic apparatus |
| CN112463591A (en) * | 2020-11-12 | 2021-03-09 | 武汉市农业科学院 | Agricultural Internet of things system evaluation method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Steele et al. | Theory and application of calibration techniques for an NDBC directional wave measurements buoy | |
| KR101770620B1 (en) | comprehensive weather observation system by realtime remote management based on IoT | |
| O’Boyle et al. | The value of full scale prototype data-testing oyster 800 at emec, orkney | |
| CN106802158A (en) | A kind of drift visualizer tests appraisal procedure | |
| KR101063255B1 (en) | Real-time tide observation system using gps | |
| CN111308501A (en) | Laser radar wind measurement buoy offshore contrast verification test field and test method thereof | |
| Freitag et al. | Comparison of ATLAS and T-Flex mooring data | |
| Heitsenrether et al. | Test and evaluation report: limited acceptance of the design analysis WaterLog® H-3611i microwave radar water level sensor | |
| Breuer et al. | Error analysis of water level measured from a bottom mounted ocean platform | |
| Standridge Ph D et al. | Validation of a buoy-mounted laser wind sensor and deployment in Lake Michigan | |
| De Leo et al. | Evaluation of HF-radar wave measures in the Gulf of Naples | |
| Heitsenrether et al. | Results from NOAA's test and evaluation of microwave radar water level sensors and plans for a transition to operational applications | |
| CN110208884A (en) | A kind of boat-carrying automatic weather station test appraisal procedure | |
| Shih | Triaxys directional wave buoy for nearshore wave measurements: test and evaluation plan | |
| Barrett | Floating wave energy converters: wave measurement & analysis techniques | |
| CN212083675U (en) | Floating type laser radar wind measurement buoy contrast verification test field | |
| JP3237840U (en) | Test site system for comparison and verification of laser / radar wind buoys at sea | |
| Heitsenrether et al. | Understanding the impact of surface waves on microwave water level measurements | |
| Lu et al. | An Improved Method to Calculate Principal Wave Direction from Buoy Data | |
| Kohler et al. | Designing a test buoy for improving the Deep-Ocean Assessment and Reporting of Tsunamis (DART®) system | |
| ROSE | Determination of design and operational criteria for offshore facilities | |
| Fischer et al. | Sea state measurements in germanys first offshore wind farm" alpha ventus" in the south-eastern part of the north sea | |
| Mai et al. | Water Level Measurements with Radar Gauges at the German North Sea Coast | |
| Teng et al. | Test and Evaluation of Refreshed Tropical Atmosphere Ocean (TAO) Buoy System | |
| Rosen | A review of sea level monitoring status in Israel |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170606 |