CN106600155A - Method for controlling quality of meteorological factors at station based on cloud platform and intelligent chip - Google Patents
Method for controlling quality of meteorological factors at station based on cloud platform and intelligent chip Download PDFInfo
- Publication number
- CN106600155A CN106600155A CN201611195229.0A CN201611195229A CN106600155A CN 106600155 A CN106600155 A CN 106600155A CN 201611195229 A CN201611195229 A CN 201611195229A CN 106600155 A CN106600155 A CN 106600155A
- Authority
- CN
- China
- Prior art keywords
- data
- website
- quality control
- inspection
- meteorological
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
Abstract
The invention discloses a method for controlling the quality of meteorological factors at a station based on a cloud platform and an intelligent chip. The method is characterized by including the following steps: 1. integrating the quality-control algorithm to hardware, installing an intelligent chip and a data quality monitoring work program on an auxiliary control mainboard of each field station; 2. conducting bilateral communication between an automatic meteorological station and each field station, and conducting net-shaped communication between each field station and peripheral stations thereof; 3. each field station from time to time monitoring the quality of the meteorological data acquired by the field station; and 4. the data, after the quality monitoring by a corresponding field station, being directly put to a database. According to the invention, the method has low cost, can be fast connected to current automatic meteorological station, and has huge benefits to societies.
Description
Technical field
The invention belongs to automatic weather station technical field, is related to a kind of method of quality control of meteorological data information, specifically
It is related to a kind of website end meteorological element method of quality control based on cloud platform and intelligent chip.
Background technology
To ensure meteorological measuring quality, need to carry out automatic weather station data quality control, including automatic meteorological station owner
The two-part quality control of business software in the embedded software of harvester, terminal microcomputer.Complete at automatic weather station end
The original Quality Control of adjacent area website and algorithm framework, depend on original Data of Automatic Weather collection framework, Quality Control work
It is, after the message file of each field website is sent to center receiving terminal, to carry out data again through data parsing warehouse-in as content
Quality Control.This way can typically produce problems with：
1st, ageing deficiency：After certain data is produced, need to pass through transmission, convergence, parsing, warehouse-in, wait ability after four steps
Can enter Quality Control link, but often because the requirement of real-time of weather service is very high, much in short-term close on application in,
Do not have enough time to carry out Analysis of quality control to be just directly entered use toward contact, the later stage carries out Quality Control work again, largely typically
Can be only applied to Data storage and relatively low research work is required to ageing.
2nd, Quality Control algorithm disunity：At present not yet have unified for field Data of Automatic Weather in national meteorological department
The standard of Quality Control, is all the rear benefit and Data storage for carrying out Quality Control work in this administrative division by the way of certain.
3rd, data Quality Control cannot compare with real-time weather system background：Limited by data collection architecture, in the wild
Automatic meteorological website end is simple transmission data, it is impossible to carry out two-way interaction communication, therefore cannot just realize combining radar
The center such as data, weather background data end data participates in the algorithm and framework of Quality Control.
Therefore, based on the delayed of meteorological data quality control method, accuracy to weather service, ageing bring bad shadow
Ring.
The content of the invention
It is an object of the invention to provide a kind of new type auto weather station meteorological data detects key element method of quality control.The matter
The live data of adjacent multiple weather stations is to the effect that mutually called by prosecutor method, direct intelligent processing method, using 4G moulds
Block is interconnected so that the weather information data of the adjacent weather station of spanning different districts mutually accesses comparison, can mutually calibrate, no longer need
Process to be converged.The present invention can significantly improve the key element availability of weather data.
The technical scheme for completing above goal of the invention is：A kind of website end meteorological element based on cloud platform and intelligent chip
Method of quality control, it is characterised in that step is as follows：
(1)., intelligent chip and number are set on the assist control mainboard of each field website by Quality Control algorithm integration within hardware
According to quality monitoring working procedure；
(2). the both-way communication and each field website of automatic weather station and each field website is netted logical with its periphery website
News；
(3). each field website carries out quality monitoring work to the meteorological data of itself website collection at any time；
(4). the data that each field station point is carried out after quality monitoring work are directly put in storage.
Each (3) described field website of step carries out quality monitoring work to the meteorological data of itself website collection at any time,
Including following sub-step：
(3) -1. meteorological educational circles are gentle waits extreme value inspection：From for synoptic background, it is impossible to which the extreme value of appearance is rejected first, together
When assistant analysis judge whether monitoring device has damage；
(3) -2, comparing of single site and periphery website（Space Consistency）：By Quality Control station data and its periphery website number
According to the presence or absence of inspection and difference inspection；
(3) before -3. single sites, time series data is compared（Time consistency）：By Quality Control station data and its own it is previous when
The data of sequence carry out whetheing there is inspection and difference inspection；
(3) -4. weather background inspection：For the data that Space Consistency and time consistency have greater difference, the weather back of the body is carried out
Scape is checked and is screened and rejects；
(3) -5. artificial experience digitizeds are checked：Collect the business experience of observing and predicting of national recent decades, and by its digitized and reality
Exampleization, transferring to front station point carries out objective comparison inspection.
In other words, the present invention arranges a kind of new automatic weather station meteorological data detection key element method of quality control：1、
Framework is gathered with reference to Data of Automatic Weather, the original data Quality Control for needing just carry out in central station end is worked, is displaced downwardly to
Complete on the assist control mainboard of each field website, single auxiliary control plate only need to be performed the Quality Control of itself website and work i.e.
Can.Data after Quality Control are directly put in storage, and in other words, the meteorological data and detection key element for reaching weather service personnel's desktop is exactly Jing
The data that time serieses were contrasted before crossing multi-site contrast and itself website.Therefore run time and efficiency are greatly promoted, and are solved
Meteorological data detects the timeliness sex chromosome mosaicism of key element quality control method；2nd, by integrated Quality Control algorithm within hardware, can be effective
Ensure that monitoring instrument gathered data out is exactly the data that have passed through unified Quality Control algorithm, will be with normal data because of different Quality Controls
The error in data that program is caused is preferably minimized, and solves the skimble-scamble problem of Quality Control algorithm；3rd, controlled by automatic weather station auxiliary
Making sheet, it is possible to achieve the both-way communication and each field website of automatic weather station and meteorological local side is netted with its periphery website
Communication.By the automatic acquisition of program, current weather background is generalized into into Quality control rules, enters line discipline comparison at website end,
Solve the problems, such as that the Quality Control of meteorological detection key element cannot compare with real-time weather system background.
Above scheme is efficiently solved under current automatic weather station process conditions, is to ensure meteorological measuring matter
Amount, carries out detecting ageing deficiency produced during key element quality control, Quality Control algorithm disunity, data matter to automatic weather station
The problem that control cannot compare with real-time weather system background.The setup cost is cheap, can be fast with existing automatic weather station
Speed docking, the market demand are big, and social benefit is considerable.
More optimization is the technical scheme is that with more specifically：Automatic weather station Quality Control framework and algorithmic technique side
Case is, for different weather monitoring key elements, to lay down a regulation, and needs integrated following various methods：
1st, meteorological educational circles is gentle waits extreme value inspection：From for synoptic background, it is impossible to which the extreme value of appearance is rejected first, while auxiliary
Analysis is helped to judge whether monitoring device has damage.
2nd, the comparing of single site and periphery website（Space Consistency）：By Quality Control station data and its periphery website number
According to the presence or absence of inspection and difference inspection.
3rd, before single site, time series data is compared（Time consistency）：By Quality Control station data and its own it is previous when
The data of sequence carry out whetheing there is inspection and difference inspection.
4th, weather background inspection：For the data that Space Consistency and time consistency have greater difference, the weather back of the body is carried out
Scape is checked and is screened and rejects.
5th, artificial experience digitized is checked：Collect the business experience of observing and predicting of national recent decades, and by its digitized and reality
Exampleization, transferring to front station point carries out objective comparison inspection.
In other words, the technical scheme solves present quality control method and cannot mutually compare asking for meteorological detection key element in real time
Topic so that meteorological big data can be analyzed with Instantaneous sharing in different administrative regions；The assist control plate and 4G communication modules of increase, will
Adjacent collection point data does interference analysis, then carries out, after quality control and intelligent processing method, directly transmitting by gathered data
To each cloud computing terminal.
The characteristics of technical solution of the present invention, is as follows：
(1). the original data Quality Control for needing just carry out in central station end is worked, the auxiliary in each field website is displaced downwardly to
Complete in control mainboard, single auxiliary control plate only need to be performed the Quality Control work of itself website, the data after Quality Control directly enter
Storehouse；
(2)., institute's gathered data unifies Quality Control by Quality Control algorithm integration within hardware；
. automatic weather station assist control plate is set, realize meteorological local side and each field website both-way communication and each
The netted communication of field website and its periphery adjacent bus station.
The automatic weather station meteorological data detection key element method of quality control of the present invention is by the collection number of adjacent weather station
According to mutually calling, direct intelligent processing method is interconnected using 4G communication modules so that the meteorological letter of the adjacent weather station of spanning different districts
Breath data mutually access comparison, mutually can calibrate, it is no longer necessary to the process of convergence, in ageing and key element availability
Have and be obviously improved.
Description of the drawings
The present invention provides a kind of new automatic weather station detection key element quality control method for automatic weather station.
With reference to the both-way communication and each field website and its periphery website of Fig. 1, meteorological local side and each field website
Netted communication comparing and calibration；
With reference to Fig. 2, by Quality Control algorithm integration in each website（1）（2）（3）In hardware, before the incoming cloud terminal of institute's gathered data it is
Through unified Quality Control algorithm；
With reference to Fig. 3, traditional automatic weather station overall construction drawing.
Specific embodiment
Embodiment 1：A kind of new meteorological data quality control method.
(1). the original data Quality Control for needing just carry out in central station end is worked, is displaced downwardly in each field website
Complete on assist control mainboard, single auxiliary control plate only need to be performed the Quality Control work of itself website, the data after Quality Control are straight
Access storehouse；
(2)., institute's gathered data is by unified standard Quality Control by Quality Control algorithm integration within hardware；
. automatic weather station assist control plate is set, realize meteorological local side and each field website both-way communication and each
The netted communication of field website and its periphery website.Automatically program is obtained, current weather background is generalized into into Quality control rules,
Line discipline comparison is entered at website end；
Each (3) described field website of step carries out quality monitoring work to the meteorological data of itself website collection at any time, including
Following sub-step：
(3) -1. meteorological educational circles are gentle waits extreme value inspection：From for synoptic background, it is impossible to which the extreme value of appearance is rejected first, together
When assistant analysis judge whether monitoring device has damage；
(3) -2, comparing of single site and periphery website（Space Consistency）：By Quality Control station data and its periphery website number
According to the presence or absence of inspection and difference inspection；
(3) before -3. single sites, time series data is compared（Time consistency）：By Quality Control station data and its own it is previous when
The data of sequence carry out whetheing there is inspection and difference inspection；
(3) -4. weather background inspection：For the data that Space Consistency and time consistency have greater difference, the weather back of the body is carried out
Scape is checked and is screened and rejects；
(3) -5. artificial experience digitizeds are checked：Collect the business experience of observing and predicting of national recent decades, and by its digitized and reality
Exampleization, transferring to front station point carries out objective comparison inspection.
It is exemplified below：
1st, summer, certain ground temperature measure, and the high temperature for breaking through extreme value is that possible occur.But the temperature at one of station is measured 46 and is taken the photograph
Family name's degree, traditional detection key element quality control method cannot judge the accuracy of the data, and in this Quality Control framework, can transfer in real time
Maximum temperature between while periphery adjacent sites.Can judge rapidly that this is 46 Celsius according to the distance and measured data of adjacent sites
The high temperature of degree is belonging to believable data or suspicious data or even wrong data.
2nd, there is the very strong strong convection precipitation of local in summer, somewhere, and precipitation does not occur in periphery website.Can now borrow
High-speed computer big data operational analysis result is helped, weather radar in the platform of high in the clouds and meteorological data are made into " meteorological background inspection
Look into " state value, in real time under reach the parsing of miniOS data master control borad, " meteorological background inspection condition " is realized by remote interaction,
The rainfall measurement value can be judged rapidly, believable data or suspicious data or even wrong data is belonging to.It is embedding by solving
Enter that formula software CPU is slow, memory size is little, the problem of low-power consumption relatively slow speed, by preposition relevant weather data, before sinking to most
End assist control mainboard.
Claims (6)
1. a kind of website end meteorological element method of quality control based on cloud platform and intelligent chip, it is characterised in that step is such as
Under：
(1). intelligent chip and data quality monitoring working procedure are set on the assist control mainboard of each field website；
(2). the both-way communication and each field website of meteorological local side and each field website is netted logical with its periphery website
News；
(3). each field website carries out quality monitoring work to the meteorological data of itself website collection at any time；
(4). the data that each field station point is carried out after quality monitoring work are directly put in storage.
2. the website end meteorological element method of quality control based on cloud platform and intelligent chip according to claim 1, its
It is characterised by, each (3) described field website of step carries out quality monitoring work to the meteorological data of itself website collection at any time
Make, including following sub-step：
(3) -1. meteorological educational circles are gentle waits extreme value inspection：From for synoptic background, it is impossible to which the extreme value of appearance is rejected first, together
When assistant analysis judge whether monitoring device has damage；
(3) -2, comparing of single site and periphery website：Checked by the presence or absence of Quality Control station data and its periphery station data
With difference inspection；
(3) before -3. single sites, time series data is compared：Carried out by the data of Quality Control station data and its own previous sequential
Whether there is inspection and difference inspection；
(3) -4. weather background inspection：For the data that Space Consistency and time consistency have greater difference, the weather back of the body is carried out
Scape is checked；
(3) -5. artificial experience digitizeds are checked：Collect the business experience of observing and predicting of national recent decades, and by its digitized and reality
Exampleization, transferring to front station point carries out objective comparison inspection.
3. the website end meteorological element method of quality control based on cloud platform and intelligent chip according to claim 1, its
Be characterised by, step (1) on the assist control mainboard of each field website arrange intelligent chip and data quality monitoring work journey
Sequence, be by Quality Control algorithm integration within hardware.
4. the website end meteorological element method of quality control based on cloud platform and intelligent chip according to claim 2, its
It is characterised by that the comparing of sub-step single site (3) described in -2 and periphery website belongs to Space Consistency inspection, single site
With the comparing of periphery website, by the presence or absence of the station data of Quality Control and its periphery station data inspection and difference inspection.
5. the website end meteorological element method of quality control based on cloud platform and intelligent chip according to claim 2, its
It is characterised by, it is time consistency inspection that before sub-step single site (3) described in -3, time series data is compared：By Quality Control website
The data of data and its own previous sequential carry out whetheing there is inspection and difference inspection.
6. the website end meteorological element quality control side based on cloud platform and intelligent chip according to one of claim 2-5
Method, it is characterised in that weather background inspection of the sub-step (3) described in -4 is that have larger for Space Consistency and time consistency
The data of discrepancy, carry out weather background inspection and screening is rejected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611195229.0A CN106600155A (en) | 2016-12-22 | 2016-12-22 | Method for controlling quality of meteorological factors at station based on cloud platform and intelligent chip |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611195229.0A CN106600155A (en) | 2016-12-22 | 2016-12-22 | Method for controlling quality of meteorological factors at station based on cloud platform and intelligent chip |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106600155A true CN106600155A (en) | 2017-04-26 |
Family
ID=58600561
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611195229.0A Pending CN106600155A (en) | 2016-12-22 | 2016-12-22 | Method for controlling quality of meteorological factors at station based on cloud platform and intelligent chip |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106600155A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111239853A (en) * | 2020-03-06 | 2020-06-05 | 南京云狐信息科技有限公司 | Automatic meteorological observation system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102207555A (en) * | 2011-03-26 | 2011-10-05 | 朱君 | System for monitoring data and controlling quality of regional automatic meteorological station |
| CN204287521U (en) * | 2014-09-22 | 2015-04-22 | 江西中锂青沃科技有限公司 | A kind of environmental monitoring system |
| CN104635281A (en) * | 2015-02-17 | 2015-05-20 | 南京信息工程大学 | Method for controlling data quality of automatic meteorological station based on strong weather process correction |
| KR20150059254A (en) * | 2013-11-22 | 2015-06-01 | 에스케이플래닛 주식회사 | System for servicing weather information, method of servicing weather information and apparatus for the same |
| CN106096266A (en) * | 2016-06-08 | 2016-11-09 | 南京信息工程大学 | A kind of automatic weather station method of quality control |
-
2016
- 2016-12-22 CN CN201611195229.0A patent/CN106600155A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102207555A (en) * | 2011-03-26 | 2011-10-05 | 朱君 | System for monitoring data and controlling quality of regional automatic meteorological station |
| KR20150059254A (en) * | 2013-11-22 | 2015-06-01 | 에스케이플래닛 주식회사 | System for servicing weather information, method of servicing weather information and apparatus for the same |
| CN204287521U (en) * | 2014-09-22 | 2015-04-22 | 江西中锂青沃科技有限公司 | A kind of environmental monitoring system |
| CN104635281A (en) * | 2015-02-17 | 2015-05-20 | 南京信息工程大学 | Method for controlling data quality of automatic meteorological station based on strong weather process correction |
| CN106096266A (en) * | 2016-06-08 | 2016-11-09 | 南京信息工程大学 | A kind of automatic weather station method of quality control |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111239853A (en) * | 2020-03-06 | 2020-06-05 | 南京云狐信息科技有限公司 | Automatic meteorological observation system |
| CN111239853B (en) * | 2020-03-06 | 2021-11-16 | 南京云狐信息科技有限公司 | Automatic meteorological observation system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105303805B (en) | Intelligent water meter system of Internet of things | |
| CN106991504B (en) | Building energy consumption prediction method and system based on subentry measurement time sequence and building | |
| CN102354441A (en) | Concentrator-network-based meter reading system and method | |
| CN105093047B (en) | Power circuit load monitoring early warning system | |
| CN114977483B (en) | Fault diagnosis system for intelligent power grid regulation control equipment | |
| CN110571926A (en) | intelligent power distribution network based on Internet of things technology and data model construction method thereof | |
| CN102253269A (en) | Integrated processing system for real-time data of electric power based on cloud computing and designing method | |
| CN113848015A (en) | ZigBee-based pressure sensor online calibration system | |
| CN105764096A (en) | Water environment monitoring system based on wireless sensor network, and information integration method thereof | |
| CN106600155A (en) | Method for controlling quality of meteorological factors at station based on cloud platform and intelligent chip | |
| CN117097026A (en) | Operation method of novel power system operation and maintenance monitoring platform based on source network charge storage | |
| CN110380902A (en) | Topology generation method, apparatus, electronic equipment and storage medium | |
| CN107240957B (en) | Method for monitoring and early warning of power grid based on large data flow type calculation | |
| CN109861398A (en) | A kind of the electrical power services device and its network system realization of digital transformer substation | |
| CN111614083B (en) | Big data analysis method suitable for 400V power supply network topology identification | |
| CN115187086A (en) | Intelligent management and control system for emergency management | |
| CN111062633A (en) | Power transmission and transformation line and equipment state evaluation system based on multi-source heterogeneous data | |
| CN110782431B (en) | High-voltage wire icing area detection method based on deep learning | |
| Zheng | Study and Application on Big Data Information Fusion System Based on IoT | |
| CN106412073A (en) | Building fire protection facility detection method system | |
| CN110940421A (en) | Distributed multipoint measurement unmanned aerial vehicle detection system | |
| CN110544182A (en) | Power distribution communication network fusion control method and system based on machine learning technology | |
| Niu | Design of intelligent agricultural environmental big data collection system based on ZigBee and NB-IoT | |
| CN113542276B (en) | Method and system for detecting intrusion target of hybrid network | |
| CN109286368A (en) | The online health monitoring systems of photovoltaic array and its implementation based on B/S framework |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170426 |