CN106154356A - The online fault detection system of automatic weather station and detection method - Google Patents

The online fault detection system of automatic weather station and detection method Download PDF

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CN106154356A
CN106154356A CN201610654569.9A CN201610654569A CN106154356A CN 106154356 A CN106154356 A CN 106154356A CN 201610654569 A CN201610654569 A CN 201610654569A CN 106154356 A CN106154356 A CN 106154356A
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harvester
sensor
data
measuring unit
meteorological element
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范雯杰
程昌玉
张黎
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    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/18Testing or calibrating meteorological apparatus

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
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Abstract

The online fault detection system of automatic weather station, including automatic weather station, Sensor Measurement Unit, point harvester measuring unit, main harvester measuring unit, external equipment measuring unit and main control unit;Automatic weather station includes that meteorological element sensor, meteorological element divide harvester, main harvester, signal lighting protection plate, baroceptor, electric power system, communication system and host computer;Described Sensor Measurement Unit, divide harvester measuring unit, main harvester measuring unit, external equipment is measured and host computer is connected with main control unit respectively, the input of described Sensor Measurement Unit is connected with the outfan of meteorological element sensor, the input of described point harvester measuring unit divides the outfan of harvester or matched meteorological element sensor to be connected with meteorological element, the input of described main harvester measuring unit respectively with main harvester, signal lighting protection plate, the outfan of baroceptor connects, the input of described external equipment measuring unit outfan with electric power system and communication system respectively is connected.

Description

The online fault detection system of automatic weather station and detection method
Technical field
The present invention relates to the online fault detection system in fault detection system field, specially automatic weather station and detection side Method.
Background technology
In recent years, due to extensive to the demand of meteorological element information, the automatic weather station quantity that the whole nation is built increases rapidly. At present, meteorological department of China has the most tentatively built up the 2424 national ground automatic Observation station nets of set and by more than 50,000 set Small and Medium Sized The region automatic meteorological observing station net of the substantial amounts that automatic weather station is constituted.These meteorological measurings are to national economy, gas Waiting change and people's lives important role, therefore the maintenance to automatic weather station has the strongest ageing requirement.The fastest Speed, all kinds of faults that investigation automatic weather station in use occurs in time, carry out huge observation system safeguard work, The always a great problem of the meteorological administration section of puzzlement.At present, there is techniques below difficulty in the automatic weather station safeguard work of China Topic:
(1) automatic weather station is the most complicated, and the intelligence degree of some novel sensors is higher, works maintenance support Propose requirements at the higher level.Meanwhile, the fault of automatic weather station occurs the position may be at sensor, point harvester, main harvester, anti- Thunder signal plate, power, communicate and any one place or a few place such as business software, cause maintainer to be difficult to rapid failure judgement position Put.
(2) automatic weather station does not has online fault detection capability, once breaks down, it is necessary to by maintainer, parent goes to scene Carry out malfunction elimination.If the station maintenance business personnel be still difficult to judge abort situation in time, then need equipment center or instrument producer Send professional that abort situation is confirmed.This process needs the plenty of time, will result in irreversible observation data Deficient phenomena.
(3) at present meteorological department have employed that to monitor automatic weather station based on equipment overall operation condition adjudgement mode normal Whether.But because departing from the acquisition of ingredient running status each to equipment and monitoring, there is significant limitation, only in which Whether equipment tentatively can be judged in normal work, it is impossible to the true running status of alignment system critical piece, entirely without Method judges that the fault of equipment occurs position.
In a word, automatic weather station the most still cannot realize the quick diagnosis of fault, there is fault correction time length, system can By the low problem of property, and not for product and the method for On-line Fault Detection.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, it is provided that a kind of online fault detect of automatic weather station System and detection method, its simple in construction, arrange conveniently, ageing by force, fault location is accurate, will be greatly enhanced automatic meteorological The equipment Safeguard ability stood.
The technical scheme that the present invention proposes is as follows: the online fault detection system of automatic weather station, including automatic weather station, biography Sensor measuring unit, point harvester measuring unit, main harvester measuring unit, external equipment measuring unit and main control unit;From Dynamic weather station includes that meteorological element sensor, meteorological element divide harvester, main harvester, signal lighting protection plate, baroceptor, confession Electricity system, communication system and host computer;Described Sensor Measurement Unit, point harvester measuring unit, main harvester are measured single Unit, external equipment measurement and host computer are connected with main control unit respectively, and the input of described Sensor Measurement Unit is with meteorological The outfan of essential sensor connects, and the input of described point harvester measuring unit and meteorological element divide harvester or therewith The outfan of supporting meteorological element sensor connects, the input of described main harvester measuring unit respectively with main collection Device, signal lighting protection plate, baroceptor outfan connect, the input of described external equipment measuring unit respectively with power supply The outfan of system and communication system connects.
As the improvement of scheme one, described main control unit is mainly deposited by data acquisition module, data processing module, data Storage module, parameter adjustment module, data disaply moudle become with data communication module set.
As the improvement of scheme one, described meteorological element sensor includes that temperature sensor, humidity sensor, wind direction pass Sensor, air velocity transducer, precipitation sensor, evaporation gauge, visibility sensor, ground temperature sensor, baroceptor, can see Degree sensor, cloud level sensor, weather phenomenon sensor, radiation sensor, sunshine recorder;Meteorological element sensor can be direct It is connected with Sensor Measurement Unit, or is connected with a point harvester measuring unit after dividing harvester by meteorological element.
As the improvement of scheme three, described Sensor Measurement Unit is mainly passed by rain sensor measurement module, wind direction Sensor measurement module, air velocity transducer measurement module, evaporation gauge measurement module and intelligence sensor measurement module composition, right The corresponding output signal of meteorological element sensor measures.
As the improvement of scheme four, described intelligence sensor measurement module is mainly surveyed by visibility measurement module, the cloud level Amount module, weather phenomenon measurement module, measurement module at sunshine and cloud amount measurement module composition.
As the improvement of scheme one to five any one, a described point harvester measuring unit is mainly divided collection by humiture Device measurement module, ground temperature divide harvester measurement module, radiation point harvester measurement module composition, meteorological element is divided harvester or The output signal of matched meteorological element sensor measures.
As the improvement of scheme six, the method using wired data transfer between described detecting system each unit.
As the improvement of scheme six, the method using wireless data transmission between described detecting system each unit.
Detection method based on the online fault detection system of automatic weather station, detection method step is as follows:
1) output signal of meteorological element sensor 1 to meteorological element sensor n is measured by Sensor Measurement Unit Drawing data A1 to An, data A1 to An is transferred to main control unit by Sensor Measurement Unit;
2) divide harvester measuring unit that meteorological element is divided harvester 1 to meteorological element divide harvester n or matched The output signal of meteorological element sensor measures and draws data B1 to Bn, and data B1 to Bn is passed by point harvester measuring unit It is passed to main control unit;
3) output signal of main harvester, signal lighting protection plate and baroceptor is measured by main harvester measuring unit Show that data C1 to C3 is transferred to main control unit by data C1 to C3, main harvester measuring unit;
4) external equipment measuring unit the output signal of electric power system and communication system is measured draw data D1 and D2, data D1 and D2 are transferred to main control unit by external equipment measuring unit;
5) main control unit receives, by data acquisition module, data that step 1 to step 4 draws and passes through data respectively It is processed by processing module, draws abnormal data set by the breakdown judge algorithm preset in data processing module E1-En, described breakdown judge algorithm is threshold determination or logic decision, such as: if the normal output signal model of humidity sensor Enclosing the d. c. voltage signal that should be 0-1v, the 0-100% of corresponding relative humidity, if the magnitude of voltage measured the most throughout is more than 0- 1v, then be considered as mistake;Meanwhile, if the relative humidity output voltage values that somewhere records is 0-0.05v, then it is corresponding the wettest Angle value is 0-5%, but what this rh value was extremely difficult to reach under most natural conditions, therefore measure the survey of point at this Value can be considered doubtful mistake, should put whether fault is entered in conjunction with remaining measured value everywhere and breakdown judge algorithm to measuring at this Row comprehensive descision, to draw reliable conclusion.During fault verification, visual concrete condition, to threshold determination numerical value everywhere It is configured in the parameter adjustment module of main control unit with logic decision method.
6) E1-En corresponding A 1 to the An that drawn by step 5, B1 to Bn, each data of C1 to C3, D1 and D2 make a mistake The 1-n data, i.e. may utilize breakdown judge algorithm and carries out synthetic determination, draws concrete abort situation R1-Rn, R1-Rn pair Answer in A1 to An, B1 to Bn, C1 to C3, D1 and D2 it may happen that fault respectively measure position.As: at E1 correspondence C1, measured value is wrong By mistake, and now measured value at A1, C2 is normal, now can determine whether to give vent to anger as essential sensor 1, signal lighting protection plate are normal , then can determine that out that automatic weather station occurs position to should be main harvester, now the information in abort situation R1 is main collection Device;
7) abnormal data E1-En step 5 drawn and result of determination R1-Rn, be transferred to data disaply moudle, energy Concrete abort situation and relevant information is had a clear understanding of by user by alternating interface between man and computer;
8) abnormal data E1-En step 5 drawn and result of determination R1-Rn, be transferred to data communication module, energy By wired or wireless transmission means, fault message is carried out long-distance transmissions.
The method have the advantages that
1. be not required in the case of maintainer parent goes to fault in-situ, can realize automatic meteorological station failure on-line checking and Diagnosis, thus it is time-consuming greatly to shorten malfunction elimination, promotes automaticity.
2. outside the legacy data transmission channel of equipment, owing to automatic weather station signal everywhere is all carried out by the present invention Detection, therefore can be as an auxiliary data transmission passage.
The most once relevant components section failure of the former data channel of equipment, before fault is not yet got rid of, can be auxiliary by this Help data channel to skip the module broken down, continued data transmission work, thus reduced lacking of observational data further Mistake rate.
Accompanying drawing explanation
Fig. 1 is the connection block diagram of the detecting system of the present invention.
Detailed description of the invention
Below in conjunction with concrete drawings and Examples, the invention will be further described:
As it is shown in figure 1, the online fault detection system of automatic weather station, including automatic weather station, Sensor Measurement Unit, divide Harvester measuring unit, main harvester measuring unit, external equipment measuring unit and main control unit;Automatic weather station includes meteorology Essential sensor, meteorological element divide harvester, main harvester, signal lighting protection plate, baroceptor, electric power system, communication system And host computer;Sensor Measurement Unit, point harvester measuring unit, main harvester measuring unit, external equipment are measured and upper Machine is connected with main control unit respectively, and the input of Sensor Measurement Unit is connected with the outfan of meteorological element sensor, divides and adopts The input of storage measuring unit divides the outfan of harvester or matched meteorological element sensor to be connected with meteorological element, The input of main harvester measuring unit is connected with main harvester, signal lighting protection plate, the outfan of baroceptor respectively, outside The input of device measuring unit outfan with electric power system and communication system respectively is connected.
Main control unit is mainly by data acquisition module, data processing module, data memory module, parameter adjustment module, number Become with data communication module set according to display module.
Meteorological element sensor includes that temperature sensor, humidity sensor, wind transducer, air velocity transducer, precipitation pass Sensor, evaporation gauge, visibility sensor, ground temperature sensor, baroceptor, visibility sensor, cloud level sensor, sky Gas phenomenon sensor, radiation sensor, sunshine recorder;Meteorological element sensor can directly be connected with Sensor Measurement Unit Connect, or be connected with a point harvester measuring unit after dividing harvester by meteorological element.
Sensor Measurement Unit is mainly by rain sensor measurement module, wind transducer measurement module, air velocity transducer Measurement module, evaporation gauge measurement module and intelligence sensor measurement module composition, the most defeated to meteorological element sensor Go out signal to measure.
Intelligence sensor measurement module mainly by visibility measurement module, cloud level measurement module, weather phenomenon measurement module, Sunshine measurement module and cloud amount measurement module composition.
Harvester measuring unit is divided mainly to be divided harvester measurement module, ground temperature to divide harvester measurement module, spoke by humiture Penetrate a point harvester measurement module composition, meteorological element is divided harvester and matched meteorological element sensor export accordingly Signal measures.
The method using wired data transfer between detecting system each unit.
The method using wireless data transmission between detecting system each unit.
Detection method based on the online fault detection system of automatic weather station, detection method step is as follows:
1) output signal of meteorological element sensor 1 to meteorological element sensor n is measured by Sensor Measurement Unit Drawing data A1 to An, data A1 to An is transferred to main control unit by Sensor Measurement Unit;
2) divide harvester measuring unit that meteorological element is divided harvester 1 to meteorological element divide harvester n or matched The output signal of meteorological element sensor measures and draws data B1 to Bn, and data B1 to Bn is passed by point harvester measuring unit It is passed to main control unit;
3) output signal of main harvester, signal lighting protection plate and baroceptor is measured by main harvester measuring unit Show that data C1 to C3 is transferred to main control unit by data C1 to C3, main harvester measuring unit;
4) external equipment measuring unit the output signal of electric power system and communication system is measured draw data D1 and D2, data D1 and D2 are transferred to main control unit by external equipment measuring unit;
5) main control unit receives, by data acquisition module, data that step 1 to step 4 draws and passes through data respectively It is processed by processing module, draws abnormal data set by the breakdown judge algorithm preset in data processing module E1-En, breakdown judge algorithm is threshold determination or logic decision, such as: if the normal output signal scope of humidity sensor should be The d. c. voltage signal of 0-1v, the 0-100% of corresponding relative humidity, if the magnitude of voltage measured the most throughout is more than 0-1v, then It is considered as mistake;Meanwhile, if the relative humidity output voltage values that somewhere records is 0-0.05v, then its corresponding rh value For 0-5%, but what this rh value was extremely difficult to reach under most natural conditions, therefore the measured value at this can be considered To measuring at this, doubtful mistake, should put whether fault is comprehensively sentenced in conjunction with remaining measured value everywhere and breakdown judge algorithm Disconnected, to draw reliable conclusion.During fault verification, visual concrete condition, threshold determination numerical value everywhere and logic are sentenced Method of determining is configured in the parameter adjustment module of main control unit.
6) E1-En corresponding A 1 to the An that drawn by step 5, B1 to Bn, each data of C1 to C3, D1 and D2 make a mistake The 1-n data, i.e. may utilize breakdown judge algorithm and carries out synthetic determination, draws concrete abort situation R1-Rn, R1-Rn pair Answer in A1 to An, B1 to Bn, C1 to C3, D1 and D2 it may happen that fault respectively measure position;As: at E1 correspondence C1, measured value is wrong By mistake, and now measured value at A1, C2 is normal, now can determine whether to give vent to anger as essential sensor 1, signal lighting protection plate are normal , then can determine that out that automatic weather station occurs position to should be main harvester, now the information in abort situation R1 is main collection Device;
7) abnormal data E1-En step 5 drawn and result of determination R1-Rn, be transferred to data disaply moudle, energy Concrete abort situation and relevant information is had a clear understanding of by user by alternating interface between man and computer;
8) abnormal data En step 5 drawn and result of determination R1-Rn, be transferred to data communication module, can lead to Cross wired or wireless transmission means and fault message is carried out long-distance transmissions.
Use the detecting system of the present invention and detection method, be not required in the case of maintainer parent goes to fault in-situ, can Realize on-line checking and the diagnosis of automatic meteorological station failure, thus greatly reduction failture evacuation is time-consuming, promotes automaticity. Outside the legacy data transmission channel of equipment, owing to automatic weather station signal everywhere is all detected, therefore by the present invention Can be as an auxiliary data transmission passage.Therefore, the once relevant components section failure of the former data channel of equipment, in event Before barrier is not yet got rid of, the module broken down can be skipped by this assisting data channel, continued data transmission work, thus entered One step reduces the miss rate of observational data.

Claims (9)

1. the online fault detection system of automatic weather station, it is characterised in that: include automatic weather station, Sensor Measurement Unit, divide Harvester measuring unit, main harvester measuring unit, external equipment measuring unit and main control unit;Automatic weather station includes meteorology Essential sensor, meteorological element divide harvester, main harvester, signal lighting protection plate, baroceptor, electric power system, communication system And host computer;Described Sensor Measurement Unit, point harvester measuring unit, main harvester measuring unit, external equipment are measured It is connected with main control unit respectively with host computer, the input of described Sensor Measurement Unit and the output of meteorological element sensor End connects, and the input of described point harvester measuring unit and meteorological element divide harvester or matched meteorological element to pass The outfan of sensor connects, the input of described main harvester measuring unit respectively with main harvester, signal lighting protection plate, air pressure The outfan of sensor connects, the input of described external equipment measuring unit defeated with electric power system and communication system respectively Go out end to connect.
Detecting system the most according to claim 1, it is characterised in that: described main control unit is mainly by data acquisition module Block, data processing module, data memory module, parameter adjustment module, data disaply moudle become with data communication module set.
Detecting system the most according to claim 1, it is characterised in that: described meteorological element sensor includes temperature sensing Device, humidity sensor, wind transducer, air velocity transducer, precipitation sensor, evaporation gauge, visibility sensor, ground temperature pass Sensor, baroceptor, visibility sensor, cloud level sensor, weather phenomenon sensor, radiation sensor, sunshine recorder; Meteorological element sensor can directly be connected with Sensor Measurement Unit, or by meteorological element divide after harvester with a point harvester Measuring unit is connected.
Detecting system the most according to claim 3, it is characterised in that: described Sensor Measurement Unit is mainly passed by rainfall Sensor measurement module, wind transducer measurement module, air velocity transducer measurement module, evaporation gauge measurement module and intelligence pass Sensor measurement module forms, and output signal corresponding to meteorological element sensor measures.
Detecting system the most according to claim 4, it is characterised in that described intelligence sensor measurement module is mainly by energy Degree of opinion measurement module, cloud level measurement module, weather phenomenon measurement module, measurement module at sunshine and cloud amount measurement module composition.
6. according to the detecting system described in any one of claim 1 to 5, it is characterised in that: described point harvester measuring unit Mainly harvester measurement module, ground temperature is divided to divide harvester measurement module, radiation point harvester measurement module to form by humiture, right Meteorological element divides harvester or the matched corresponding output signal of meteorological element sensor to measure.
Detecting system the most according to claim 6, it is characterised in that: use wired number between described detecting system each unit Method according to transmission.
Detecting system the most according to claim 6, it is characterised in that: use wireless number between described detecting system each unit Method according to transmission.
9. according to the detection method of the online fault detection system of automatic weather station described in any one of claim 1 to 8, its feature It is: detection method step is as follows:
1) output signal of meteorological element sensor 1 to meteorological element sensor n is measured and draws by Sensor Measurement Unit Data A1 to An, data A1 to An is transferred to main control unit by Sensor Measurement Unit;
2) divide harvester measuring unit that meteorological element is divided the meteorology that harvester 1 to meteorological element divides harvester n or matched The output signal of essential sensor measures and draws data B1 to Bn, and data B1 to Bn is transferred to by a point harvester measuring unit Main control unit;
3) output signal of main harvester, signal lighting protection plate and baroceptor is measured and draws by main harvester measuring unit Data C1 to C3, data C1 to C3 is transferred to main control unit by main harvester measuring unit;
4) output signal of electric power system and communication system is measured and draws data D1 and D2, outward by external equipment measuring unit Data D1 and D2 are transferred to main control unit by portion's device measuring unit;
5) main control unit is received, by data acquisition module, data that step 1 to step 4 draws and is processed by data respectively It is processed by module, draws abnormal data set E1-En by the breakdown judge algorithm preset in data processing module, Described breakdown judge algorithm is threshold determination or logic decision, such as: if the normal output signal scope of humidity sensor should be The d. c. voltage signal of 0-1v, the 0-100% of corresponding relative humidity, if the magnitude of voltage measured the most throughout is more than 0-1v, then It is considered as mistake;Meanwhile, if the relative humidity output voltage values 0-0.05v that somewhere records, then its corresponding rh value is 0-5%, but what this rh value was extremely difficult to reach under most natural conditions, the measured value therefore measuring point at this can It is considered as doubtful mistake, should put whether fault is carried out comprehensively in conjunction with remaining measured value everywhere and breakdown judge algorithm to measuring at this Judge, to draw reliable conclusion;During fault verification, visual concrete condition, to threshold determination numerical value everywhere and logic Decision method is configured in the parameter adjustment module of main control unit;
6) 1-made a mistake in E1-En corresponding A 1 to the An that drawn by step 5, B1 to Bn, each data of C1 to C3, D1 and D2 N data, i.e. may utilize breakdown judge algorithm and carry out synthetic determination, draw concrete abort situation R1-Rn, R1-Rn corresponding A 1 To An, B1 to Bn, C1 to C3, D1 and D2 it may happen that fault respectively measure position;
7) abnormal data E1-En step 5 drawn and result of determination R1-Rn, be transferred to data disaply moudle, can pass through Alternating interface between man and computer has a clear understanding of concrete abort situation and relevant information by user;
8) abnormal data E1-En step 5 drawn and result of determination R1-Rn, be transferred to data communication module, can pass through Wired or wireless transmission means carries out long-distance transmissions to fault message.
CN201610654569.9A 2016-08-11 2016-08-11 The online fault detection system of automatic weather station and detection method Pending CN106154356A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106646678A (en) * 2016-12-29 2017-05-10 中环天仪(天津)气象仪器有限公司 Visibility sensor fault diagnosis device and detection method therefor
CN110398791A (en) * 2019-07-15 2019-11-01 中国气象局气象探测中心 A kind of intelligent base measuring tank of achievable self diagnosis

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101114403A (en) * 2007-02-10 2008-01-30 山东省科学院海洋仪器仪表研究所 Meteorological element distributed monitoring system
US20090160878A1 (en) * 2007-12-25 2009-06-25 Wah Yiu Kwong Device, system, and method of display calibration
CN201449459U (en) * 2009-06-23 2010-05-05 南京信息工程大学 Rainfall sensor
CN203204011U (en) * 2013-04-23 2013-09-18 安徽中瑞电气技术有限公司 Wind speed and direction detector
CN103983286A (en) * 2014-05-20 2014-08-13 天津大学 Multi-parameter large-capacity optical fiber passive sensing networking system
CN104298192A (en) * 2014-09-05 2015-01-21 武汉理工大学 Unmanned ship ship-mounted intelligent terminal and control platform system adopting multi-protocol conversion
CN104515735A (en) * 2014-12-31 2015-04-15 哈尔滨工业大学 Viscous adhesive force testing device for viscous pressure forming and testing method thereof
CN104678457A (en) * 2015-03-06 2015-06-03 中国人民解放军理工大学 Intelligent meteorological sensor
CN104749659A (en) * 2015-03-27 2015-07-01 江苏省气象探测中心 Automatic meteorological station on-site checking instrument and method
CN105443246A (en) * 2015-12-11 2016-03-30 中国航空工业集团公司西安飞机设计研究所 Anti-icing system for engine intake channel
CN205941953U (en) * 2016-08-11 2017-02-08 范雯杰 Automatic online fault detection system in weather station

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101114403A (en) * 2007-02-10 2008-01-30 山东省科学院海洋仪器仪表研究所 Meteorological element distributed monitoring system
US20090160878A1 (en) * 2007-12-25 2009-06-25 Wah Yiu Kwong Device, system, and method of display calibration
CN201449459U (en) * 2009-06-23 2010-05-05 南京信息工程大学 Rainfall sensor
CN203204011U (en) * 2013-04-23 2013-09-18 安徽中瑞电气技术有限公司 Wind speed and direction detector
CN103983286A (en) * 2014-05-20 2014-08-13 天津大学 Multi-parameter large-capacity optical fiber passive sensing networking system
CN104298192A (en) * 2014-09-05 2015-01-21 武汉理工大学 Unmanned ship ship-mounted intelligent terminal and control platform system adopting multi-protocol conversion
CN104515735A (en) * 2014-12-31 2015-04-15 哈尔滨工业大学 Viscous adhesive force testing device for viscous pressure forming and testing method thereof
CN104678457A (en) * 2015-03-06 2015-06-03 中国人民解放军理工大学 Intelligent meteorological sensor
CN104749659A (en) * 2015-03-27 2015-07-01 江苏省气象探测中心 Automatic meteorological station on-site checking instrument and method
CN105443246A (en) * 2015-12-11 2016-03-30 中国航空工业集团公司西安飞机设计研究所 Anti-icing system for engine intake channel
CN205941953U (en) * 2016-08-11 2017-02-08 范雯杰 Automatic online fault detection system in weather station

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106646678A (en) * 2016-12-29 2017-05-10 中环天仪(天津)气象仪器有限公司 Visibility sensor fault diagnosis device and detection method therefor
CN110398791A (en) * 2019-07-15 2019-11-01 中国气象局气象探测中心 A kind of intelligent base measuring tank of achievable self diagnosis

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Application publication date: 20161123