CN110276518A - A kind of hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier - Google Patents
A kind of hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier Download PDFInfo
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- 238000000151 deposition Methods 0.000 title claims abstract description 15
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- 238000000034 method Methods 0.000 claims abstract description 18
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- 238000012502 risk assessment Methods 0.000 claims abstract description 11
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Abstract
The present embodiments relate to bio-identifications, technical field of information processing, especially a kind of hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier, this method comprises: acquiring biological information in cross-border carrier, cross-border carrier includes following one or more of: cross-border crowd and belongings, cross-border cargo and electric business, the cross-border vehicles, and/or aerosol water ballast, and biology includes following one or more of: pest, weeds, pathogenic microorganism, mollusk or other previously selected harmful organisms；Risk analysis is carried out to the biology of cross-border intercepting and capturing, to determine whether the risk management measure quarantine biology and needing to take；The biology for the processing that needs to quarantine is checked and/or monitored and corresponding quarantining treatment.The present invention realizes the identification and treatment measures of cross-border harmful organism, can carry out effectively preventing and go out to remove to harmful cross-border biology, reduce the probability of the cross-border pernicious propagation of biology, help preferably to protect agricultural and forestry production and natural ecological environment.
Description
Technical field
The present embodiments relate to bio-identification, technical field of information processing, especially a kind of cross-border multichip carrier is hidden to deposit height
The processing method for biotic factor data of endangering.
Background technique
It is cross-border it is hidden deposit high-risk biotic factor be farm-forestry crop growth in formidable enemy, have hair within crops entire growth period
It is raw, a large amount of underproduction of crops can be caused, especially as cross-border crowd and belongings, cross-border cargo and electric business, the cross-border vehicles,
The approach such as aerosol water ballast intrude into domestic harmful organism from foreign countries.The harmful organism of these invasions, may not have at home
There is natural enemy, it is easier to bring extinction to crops.Therefore, how to identify the harmful organism of these immigrations, and take in time
Corresponding counter-measure, has very important significance.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of hidden processing side for depositing high-risk biotic factor data of cross-border multichip carrier
Method can efficiently identify immigration biology, and take corresponding counter-measure for the biology identified, preferably to protect agriculture
Woods crop.
In order to solve the above technical problems, depositing high-risk biotic factor the embodiment provides a kind of cross-border multichip carrier is hidden
The processing method of data, comprising: acquire biological information in cross-border carrier, the cross-border carrier includes following one or more of: across
Border crowd and belongings, cross-border cargo and electric business, the cross-border vehicles, and/or aerosol water ballast, the biology include as follows
It is one or more of: pest, weeds, pathogenic microorganism, mollusk or other previously selected harmful organisms；To the biology letter
Breath carries out risk analysis, to determine whether the risk management measure quarantine biology and needing to take；It needs to carry out to described
The biology of quarantining treatment is checked and/or monitored and corresponding quarantining treatment.
Optionally, after the step of acquiring biological information in cross-border carrier, further includes: believe biology in the cross-border carrier
Breath is stored in first database；According to the previously selected mark letter in the first biological information in the first database
Breath inquires one or more specified datas library, to update the identification information of first biological information, is then somebody's turn to do updated
The identification information of first biological information is stored in the second database.
Optionally, the method also includes: by the result of the risk analysis, it is described examination and/or monitoring result, with
And the result of the quarantining treatment is saved in second database.
Optionally, the first identifier information includes following one or more: country, climatic environment, propagates Jie at host
Body, other Area distributions, the service life, egg laying amount, diffusivity, competitiveness, is suitable for warm area, production poison, distribution, biography at historical information
Poison passes disease, harm phase, generation number, natural enemy.
Optionally, the method also includes:, the collected biological information is real-time transmitted to computer；The meter
Calculation machine extracts harmful organism information, cross-border by prestoring in the harmful organism information and the preassigned first database
The data of biology are matched, to determine whether there is cross-border biotic factor；In successful match, the computer control is carried out
Harmful organism examination and/or monitoring；；Time, the harmful organism of the computer record monitoring and/or examination harmful organism
Identification information, and using record information architecture described in the second database.
Optionally, the computer extracts the characteristic information of the harmful organism, with for in the first database
The data of the cross-border biology prestored matched.
Optionally, the characteristic information includes body surface color, physique structure or the DNA of the harmful organism.
It optionally, further include scanning for operating to data in second database, when carrying out described search operation
Using database index, memory and one of caching acceleration or ES search engine or a variety of accelerated modes.
In the embodiment of the present invention, the treatment measures for cross-border biology are to acquire biological information in cross-border carrier first, are known
Biology on not cross-border carrier carries out risk analysis to obtained biological information, wherein risk analysis result can determine whether cross-border load
The risk class that biology is deposited on body, according to the risk class of biology, determination is checked and/or is monitored, and quarantine
The biology of processing.This process realizes the identification and treatment measures of cross-border harmful organism, can have to harmful cross-border biology
The prevention and treatment of effect and going out removes, and reduces the probability of the cross-border pernicious propagation of biology, facilitates preferably protection agricultural and forestry production and natural ecology
Environment.
Detailed description of the invention
One or more embodiments are illustrated by the picture in corresponding attached drawing, these exemplary theorys
The bright restriction not constituted to embodiment, the element in attached drawing with same reference numbers label are expressed as similar element, remove
Non- to have special statement, composition does not limit the figure in attached drawing.
Fig. 1 is a kind of process of the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier provided by the invention
Figure；
Flow chart when Fig. 2 is much information acquisition and examination/monitoring provided by the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Each embodiment be explained in detail.However, it will be understood by those skilled in the art that in various embodiments of the present invention
In, in order to make the reader understand this application better, many technical details are proposed.But even if without these technical details and
Based on the various changes and modifications of following embodiment, the application technical solution claimed also may be implemented.
The hidden processing method for depositing high-risk biotic factor data of a kind of cross-border multichip carrier provided in an embodiment of the present invention, comprising:
Biological information in cross-border carrier is acquired, the cross-border carrier includes following one or more of: cross-border crowd and belongings, cross-border goods
Object and electric business, the cross-border vehicles, and/or aerosol water ballast, the biology include following one or more of: pest, weeds,
Pathogenic microorganism, mollusk and other previously selected harmful organisms；Risk analysis is carried out to the biological information, with determination
The risk management measure for whether being quarantine biology and needing to take；The biology of the processing that needs to quarantine is checked
And/or monitoring and corresponding quarantining treatment.
The acquisition mode of biological information is in cross-border carrier, obtains biological information using image acquisition technology, takes the photograph as utilized
As unit or photographing unit acquisition biometric image, and biological information is passed into computer, harmful organism is extracted by computer
Information；When carrying out risk analysis, the number for the cross-border biology in harmful organism information and first database that computer is extracted
According to being matched, wherein first database is customs database, and the identification information of biology, e.g., the mark can be obtained after matching
Information includes following one or more: country, host, climatic environment, vector, historical information, other Area distributions, longevity
Life, diffusivity, competitiveness, suitable warm area, produces poison, distribution, passes poison, passes sick, the harm phase, generation number, natural enemy egg laying amount.
The risk class that biology is determined using identification information, needs further to be checked generally for the higher biology of risk class
And/or monitoring and quarantining treatment.
In examination and/or monitoring process, to pest, weeds, pathogenic microorganism, mollusk and other previously selected have
Evil biology is checked and/or is monitored respectively, to obtain corresponding result.
As the preferred embodiment of the present embodiment, also believe using to identification and processing biological in above-mentioned cross-border carrier
Breath the second database of building, that is, construct an independent database, and the detection in the immigration of cross-border carrier can be applied to use, can also
All kinds of carrier senses applied to the area invaded use.
Specific building mode are as follows: after the step of acquiring biological information in cross-border carrier, further includes: by the cross-border load
Biological information is stored in first database in body；According to Yu Xianxuanding in the first biological information in the first database
Identification information, inquiring one or more specified data libraries then will more to update the identification information of first biological information
The identification information of first biological information after new is stored in the second database.
Portion identification is obtained after it is matched with first database (customs database) according to harmful organism information
Information, for example, the biological information that harmful organism information obtains after matching with customs database includes, country, host, weather ring
Border, vector；And for other identification informations, it can be according to known identification information-enquiry one or more specified data
Library and obtain, will obtain identification information is deposited into the second data, is updated to the identification information of current biological, reaches perfect
The purpose of second database；One or more specified data libraries include but are not limited to website (such as China national harmful organism
Quarantine information platform, animals and plants inspection and quarantine information resources share service platform), books, document, web crawlers etc..
Wherein, the method also includes: by the result of the risk analysis, it is described examination and/or monitoring result and
The result of the quarantining treatment is saved in second database.It not only include the identification information of biology in second database,
Meanwhile the processing information of biology, such as risk analysis result, quarantining treatment result are stored into the second database,
When matching to biology, the identification information of the biology, and processing information can be obtained.
As the preferred embodiment of the present embodiment, as shown in Fig. 2, the method also includes:
Step 101: collected biological information is real-time transmitted to computer.
Step 102: computer extracts harmful organism information, by the harmful organism information and preassigned first database
In the data of cross-border biology that prestore matched, to determine whether there is cross-border biotic factor.
If successful match enters step 103；If it fails to match, terminate process.
Step 103: harmful organism examination and/or monitoring are carried out in computer control.
Step 104: the examination of computer record and/or the expression information for monitoring the time of harmful organism, harmful organism, and benefit
With the second database of information architecture of record.
It should be noted that the preassigned first database is customs database, prestored in the customs database
The data of various cross-border biologies, including but not limited to: biological cross-border approach, type, quantity, feature etc., wherein cross-border approach
It include: cross-border crowd and belongings, cross-border cargo and electric business, the cross-border vehicles, and/or aerosol water ballast etc..Therefore, from
In the first database, the information of the biology of various invasions can be accurately known.It can be seen that the embodiment of the present invention using this
The biology of one database identification invasion can greatly improve identification ground efficiency and accuracy in terms of existing technologies.Knowing
After the biology that Chu do not invade, carries out harmful organism examination and/or monitoring in time, regulator is taken accordingly in time
Measure achievees the effect that prevent and treat or go out harmful in time；On the other hand the relevant information of the harmful organism of record examination and/or monitoring,
And corresponding second database is constructed, the various cross-border biologies that the grasp history capture of regulator more clearly is arrived
Information helps preferably to protect farm-forestry crop.
Optionally, in a step 102, computer can first believe current biology in the biological information for receiving acquisition
Breath is analyzed, to judge whether there is life.If it is determined that there is biology, computer can extract harmful organism information again, to be used for
It is matched with the data of the cross-border biology prestored in first database；If it is determined that there is no biology, computer is then not necessarily to carry out
Any processing (no longer needing to carry out subsequent matched operation), this mode helps to reduce unnecessary matching treatment.
In practical applications, the biological information of the cross-border carrier, and the biological information prestored can be stored in advance in computer
In be not present harmful organism, as compare object.It is noted that the comparison object can regularly update, with more accurately anti-
Reflect the information of the cross-border carrier.After the biological information for receiving acquisition in a step 101, computer will can be first currently received
Biological information is compared with the biological information prestored, if there is no differences between the two, determines currently received biology letter
Harmful organism is not present in breath.If the two is distinct, computer can analyze the difference part, to further determine that
Whether the difference part is harmful organism.Specifically, computer can extract difference part from currently received biological information
Information, and the information of extraction is compared with the information of the biology prestored.For example, the information extracted is to distinguish the ruler of part
Very little, at this point, can be compared the size with the size threshold of the biology prestored, (threshold value can be deposited according to cross-border multichip carrier is hidden
The data of biology in high-risk biotic factor database are determined), if being more than the threshold value, determine currently received biology letter
There is no biologies in breath；Otherwise, then determine that there are harmful organisms.There are harmful organisms in determining currently received biological information
Afterwards, computer can further extract the characteristic information of harmful organism, and will deposit in the characteristic information of extraction and first database
The data of the cross-border biology of storage are matched, finally to determine in the biological information with the presence or absence of cross-border biology, wherein feature letter
Breath includes body surface color, physique structure or the DNA etc. of the harmful organism.
By taking pest as an example, the operation for pest is specifically included: computer judges in biological information with the presence or absence of pest；?
Determine that computer extracts the characteristic information of pest, such as body surface color, physique structure from biological information there are when pest, with
For being matched with the data of the cross-border biology prestored in first database.In addition, it will be understood by those skilled in the art that
In practical applications, other than obtaining the information of cross-border biology using the storing data of customs database described above, this
Invention may also be combined with pertinent literature and network data to identify and obtain the information of cross-border biology, can be directed to different cross-border lifes
Object takes different acquisition of information approach, to preferably construct, cross-border multichip carrier is hidden to deposit high-risk biotic factor database.
Search acceleration technique, including data can be used when carrying out data search operation in second database of above-mentioned building
Library index, memory and caching acceleration and ES search engine, specific:
1, database index
The speed of acquisition information needed in the database can be greatlyd improve by establishing index, while clothes can also be improved
The efficiency of business device processing relevant search query.Index is a kind of knot being ranked up to the value of one or more columns per page in database table
Structure, such as surname (lname) column of employee table.If specific office worker is searched by surname, with all rows being required to scan in table
It compares, index can help quickly to obtain the information.
Index provides the pointer for being directed toward the data value being stored in the specified column of table, then according to specified collating sequence pair
The sequence of these pointers.Database is much like using the mode of index and using the mode of the index in books: it search for index with
Particular value is found, then finds row containing the value along pointer.
2, memory and caching accelerate
The database middle number for receiving request per second is also limited, in many applications, due to being limited to hard disk IO
Performance or the data processing and acquisition of own service system may be very time-consuming, when discovery this data request amount of system very
When big, frequent IO and frequent logical process will lead to hard disk and the bottleneck of cpu resource occurs.The effect of caching is exactly
These hard-won data are saved in memory, when thering are other threads or client to need to inquire identical data resource
When, the response time of system not only can be improved in this way, while can also save for the returned data directly from the memory block of caching
To the resource consumption of the process flow of these data, on the whole for, system performance, which has, greatly to be promoted.
Theoretically speaking any one link of request is all the place that caching can act on.That is it is entirely asking
Any point of process is asked, we can add caching.All data of but not can put caching into, need to put into
The data of caching always have some features, and what be will be clear that judges whether data can be buffered, and how can be cached, just must
It need set about from the variation characteristic of data.Data characteristics can be summarized as change or constant in a period of time.According to this number
According to feature, we can in place and suitably cache in type and cache the data, to reach what search accelerated
Purpose.
3, ES search engine
Under some business scenarios, such as fuzzy search, full-text search etc., the index of database is failure, can not be played
The effect of acceleration search, if data volume is big and variation is frequent, also unsuitable caching accelerates, at this point, intelligent searching engine is just
It is a good selection.Elasticsearch (abbreviation ES) is exactly Typical Representative therein.
ElasticSearch is the search server based on Lucene.It provides a distributed multi-user energy
The full-text search engine of power is based on RESTful web interface.Elasticsearch is developed with Java, and as Apache
Open source code publication under license terms, is Enterprise search engine currently popular.Designed for that can reach in cloud computing
Search in real time is stablized, reliably, quickly, easy to install and use.
ES can rapidly store, search for and analyze mass data.ES be a distributed expandable it is real-time search and
Analysis engine is stored using distributed real-time files, supports cluster, expansible.In ES, each field, which can be defaulted, is built
Lithol draws, that is to say, that each field can have a reverse indexing so as to fast search.Moreover, with other most of numbers
According to unlike library, ES can use all reverse indexings in the same inquiry, return to query result at an amazing speed,
It can help to browse and utilize the soon rotten data in the extremely difficult inquiry of those of lane database.
It will be appreciated by those skilled in the art that implementing the method for the above embodiments is that can pass through
Program is completed to instruct relevant hardware, which is stored in a storage medium, including some instructions are used so that one
A equipment (can be single-chip microcontroller, chip etc.) or processor (processor) execute each embodiment the method for the application
All or part of the steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
It will be understood by those skilled in the art that the various embodiments described above are realization specific embodiments of the present invention, and
In practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (8)
1. a kind of hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier characterized by comprising
Acquire biological information in cross-border carrier, the cross-border carrier includes following one or more of: cross-border crowd and belongings, across
Border cargo and electric business, the cross-border vehicles, and/or aerosol water ballast, the biology include following one or more of: pest,
Weeds, pathogenic microorganism, mollusk and other previously selected harmful organisms；
Risk analysis is carried out to the biological information, to determine whether for quarantine biology and the risk management taken is needed to arrange
It applies；
The biology of the processing that needs to quarantine is checked and/or monitored and corresponding quarantining treatment.
2. the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier according to claim 1, which is characterized in that
After the step of acquiring biological information in cross-border carrier, further includes: biological information in the cross-border carrier is stored in
In one database；
According to the previously selected identification information in the first biological information in the first database, inquires one or more and refer to
Fixed database, to update the identification information of first biological information, then by the mark of updated first biological information
Information preservation is in the second database.
3. the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier according to claim 2, which is characterized in that
The method also includes:
The result of the risk analysis, the examination and/or the result of monitoring and the result of the quarantining treatment are saved in
In second database.
4. the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier according to claim 2, which is characterized in that
The identification information includes following one or more: country, host, climatic environment, vector, historical information, other areas
Distribution in the service life, egg laying amount, diffusivity, competitiveness, suitable warm area, produces poison, distribution, passes poison, passes sick, the harm phase, generation
Number, natural enemy.
5. the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier according to claim 4, which is characterized in that
The method also includes:
The collected biological information is real-time transmitted to computer；
The computer extracts harmful organism information will be in the harmful organism information and the preassigned first database
The data of the cross-border biology prestored are matched, to determine whether there is cross-border biotic factor；In successful match, the calculating
Harmful organism examination and/or monitoring are carried out in machine control；
The computer record examination and/or the identification information for monitoring the time of the harmful organism, the harmful organism, and benefit
Second database described in information architecture with record.
6. the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier according to claim 5, which is characterized in that
The computer extracts the characteristic information of the harmful organism, with for described in prestoring in the first database
The data of cross-border biology are matched.
7. the hidden processing method for depositing high-risk biotic factor data of cross-border multichip carrier according to claim 6, which is characterized in that
The characteristic information includes body surface color, physique structure or the DNA of the harmful organism.
8. the hidden processing method for depositing high-risk biotic factor data of the cross-border multichip carrier according to any one of claim 2 to 7,
It is characterized in that, further including scanning for operating to data in second database, used when carrying out described search operation
Database index, memory and one of caching acceleration or ES search engine or a variety of accelerated modes.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112613749A (en) * | 2020-12-24 | 2021-04-06 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor risk intelligent analysis system |
| CN113030081A (en) * | 2019-12-09 | 2021-06-25 | 扬州市双龙工业设备安装有限公司 | Harmful organism detection test device |
| CN113537726A (en) * | 2021-06-24 | 2021-10-22 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor intelligent risk mining method |
| CN113537727A (en) * | 2021-06-24 | 2021-10-22 | 中国检验检疫科学研究院 | Intelligent risk level identification system based on Bayesian judgment technology |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886096A (en) * | 2014-04-03 | 2014-06-25 | 江苏物联网研究发展中心 | Remote insect pest identification method based on pictures |
| CN105046624A (en) * | 2015-06-29 | 2015-11-11 | 孙敏 | Port safety and health quarantine internet of things monitoring method |
| CN105426458A (en) * | 2015-11-13 | 2016-03-23 | 盐城工学院 | Weed identification and prevention and control information consultation system and weed information query method |
| CN105740322A (en) * | 2016-01-14 | 2016-07-06 | 深圳市检验检疫科学研究院 | Intelligent health quarantine big data analysis system for exit-entry epidemics |
| CN106096612A (en) * | 2016-06-01 | 2016-11-09 | 中国科学院动物研究所 | Trypetid image identification system and method |
| CN106520518A (en) * | 2016-10-14 | 2017-03-22 | 中山出入境检验检疫局检验检疫技术中心 | Operation mode of species quarantine and identification center |
| CN109447484A (en) * | 2018-11-01 | 2019-03-08 | 安徽易商数码科技有限公司 | Animal and plant epidemic situation joint defense joint control big data system |
-
2019
- 2019-05-14 CN CN201910396568.2A patent/CN110276518A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103886096A (en) * | 2014-04-03 | 2014-06-25 | 江苏物联网研究发展中心 | Remote insect pest identification method based on pictures |
| CN105046624A (en) * | 2015-06-29 | 2015-11-11 | 孙敏 | Port safety and health quarantine internet of things monitoring method |
| CN105426458A (en) * | 2015-11-13 | 2016-03-23 | 盐城工学院 | Weed identification and prevention and control information consultation system and weed information query method |
| CN105740322A (en) * | 2016-01-14 | 2016-07-06 | 深圳市检验检疫科学研究院 | Intelligent health quarantine big data analysis system for exit-entry epidemics |
| CN106096612A (en) * | 2016-06-01 | 2016-11-09 | 中国科学院动物研究所 | Trypetid image identification system and method |
| CN106520518A (en) * | 2016-10-14 | 2017-03-22 | 中山出入境检验检疫局检验检疫技术中心 | Operation mode of species quarantine and identification center |
| CN109447484A (en) * | 2018-11-01 | 2019-03-08 | 安徽易商数码科技有限公司 | Animal and plant epidemic situation joint defense joint control big data system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113030081A (en) * | 2019-12-09 | 2021-06-25 | 扬州市双龙工业设备安装有限公司 | Harmful organism detection test device |
| CN112613749A (en) * | 2020-12-24 | 2021-04-06 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor risk intelligent analysis system |
| CN112613749B (en) * | 2020-12-24 | 2024-05-14 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor risk intelligent analysis system |
| CN113537726A (en) * | 2021-06-24 | 2021-10-22 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor intelligent risk mining method |
| CN113537727A (en) * | 2021-06-24 | 2021-10-22 | 中国检验检疫科学研究院 | Intelligent risk level identification system based on Bayesian judgment technology |
| CN113537727B (en) * | 2021-06-24 | 2024-05-14 | 中国检验检疫科学研究院 | Intelligent risk level recognition system based on Bayesian judgment technology |
| CN113537726B (en) * | 2021-06-24 | 2024-05-14 | 中国检验检疫科学研究院 | Cross-border hidden high-risk factor intelligent risk mining method |
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