CN113016658A - Biological information utilization system and method based on big data - Google Patents
Biological information utilization system and method based on big data Download PDFInfo
- Publication number
- CN113016658A CN113016658A CN202110253730.2A CN202110253730A CN113016658A CN 113016658 A CN113016658 A CN 113016658A CN 202110253730 A CN202110253730 A CN 202110253730A CN 113016658 A CN113016658 A CN 113016658A
- Authority
- CN
- China
- Prior art keywords
- information
- module
- pinctada martensii
- data
- biological information
- 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.)
- Granted
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention belongs to the technical field of biological information, and discloses a biological information utilization system and a method based on big data, wherein the biological information utilization system based on the big data comprises the following components: the system comprises a user login module, a biological information acquisition module, a central control module, an information interconnection module, a communication module, an information classification module, an information summarization module, an information analysis module, an information matching module and a matching scheme optimization module. According to the invention, the biological information acquisition module, the information interconnection module, the communication module, the information summarizing module and the information matching module are arranged to establish the association relationship among the nodes of the whole network, so that the relevant data of the pinctada martensii can be conveniently obtained, more accurate data reference is provided for researchers and pearl oyster cultivation practitioners, and the development of the relevant industries of the pinctada martensii is facilitated. According to the invention, the communication module is connected with the cloud server through the communication equipment, so that the transmission and cloud processing of the data information related to the pinctada martensii are realized, and the precision and the speed of data processing are improved.
Description
Technical Field
The invention belongs to the technical field of biological information, and particularly relates to a biological information utilization system and method based on big data.
Background
Pinctada martensii, also known as Pinctada martensii. The important seawater culture shellfish and the main mother shellfish for producing pearl. The shell is in a square shape, the back edge is slightly straight, the abdomen edge is arc-shaped, and the front edge and the rear edge are arc-shaped. The anterior ear is protruded and is nearly triangular, and the posterior ear is thicker and shorter; family Pteriidae of order Pteriidae of class Dicotyledoneae of the phylum mollusca. Also known as pinctada fucata, important seaculture shellfish and main pinctada fucata for producing pearls. China is distributed in the south of the strait in the coast, guangxi, guangdong and taiwan. In Japan, nacre is first used as mother pearl for culturing in the beginning of the 20 th century, China became the export country of cultured pearls of pinctada martensii in the 60 th year, and the quality of south sea pearls produced in China is internationally acknowledged to be the first index in the world.
The external forms of Pinctada martensii comprise shells, mantle, feet and shell muscles. The shell comprises cuticle, prismatic layer and nacreous layer. The outermost layer is the stratum corneum, which is composed of very thin chitin proteins. The prismatic layer is closely attached to the inner side of the stratum corneum and consists of extremely fine prismatic calcite. The nacreous layer is the layer on the inner surface of the shell and is mainly composed of a crystal of calcium carbonate. The mantle is arranged at the inner side of the shell and is divided into a left piece and a right piece by 2 pieces. The back and the central part of the mantle are thin and translucent. Is cylindrical and is positioned in front of the shell and between the gill and the labial valve. The ventral aspect of the foot has a longitudinal pedicular groove connected to the pedicular cavity of the base. The anterior adductor muscle of Pinctada martensii degenerates, and only a developed posterior adductor muscle is located slightly posterior to the center of the soft body, and is composed of gray-white striated muscle and smooth muscle, which plays a role of opening and closing the shell. The cultivation of the pinctada martensii comprises 3 stages of seedling raising, mother shell cultivation and pinctada martensii cultivation. When artificial breeding is carried out, artificial insemination is carried out after the eggs and the semen of the parent shellfish are obtained. Cleaning the fertilized eggs, standing the fertilized eggs until the embryo enters a rotation period, and transferring the fertilized eggs to a seedling raising pond. The swimming larvae are fed with clean seawater and sufficient bait, and the artificial shellfish seedlings can be obtained by throwing a seedling collector in the attachment period. In addition, various seedling collectors can be hung at excellent seedling collecting places in the breeding season, and a large number of seedlings can be collected. The seedlings are collected from the seedling collector and then are subpackaged in seedling cages for hanging and raising in the sea. The meshes of the seedling cages are smaller than those of seedlings in each period, and the net clothes need to be washed frequently and replaced regularly. The seedling is about half a year from young seedling, middle seedling to big seedling. The growing period is started when the big seedlings begin to mature. The cages of the female shellfish in the growing period also need to be cleaned and replaced frequently, the diseases and the insect pests are prevented and the attack of typhoon, fresh water and low temperature is avoided. Under normal conditions, the 1.5-2-year-old mother-pearl shells can be used for nucleus insertion operation, and then the pearl-cultivating shell is transferred to a pearl-cultivating tube-cultivating stage. After the nucleus insertion operation, a field with quiet water flow is selected for resting for about 20 days to 1 month, and after the resting period, the pearl can be collected about 1 year after the pearl culturing period. The farms are mostly distributed in subtropical sea areas and generally have environmental conditions of small wind waves, clean water quality, proper water depth and rich food.
The pinctada martensii cultivation method has great economic value; the cultured pinctada martensii in large quantity is mainly used for producing pearls. The shell can be made into nacreous layer powder as substitute of pearl for medicine and cosmetics, and is also a good raw material for shell carving, and the shellfish meat is a delicious food. In order to accurately culture the pinctada martensii and obtain the market change of the pinctada martensii in real time, a biological information utilization technology based on big data plays a key role. However, data obtained by the existing biological information utilization technology is not comprehensive, accurate industrial positioning cannot be provided for farmers and merchants, and the farmers and the merchants are prone to certain economic losses.
Through the above analysis, the problems and defects of the prior art are as follows: the data acquired by the existing biological information utilization technology is incomplete, cannot provide accurate industrial positioning for researchers and pearl oyster cultivation practitioners, and is easy to suffer from certain economic loss.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a biological information utilization system and method based on big data.
The present invention is achieved by a big data-based biological information utilization method, including:
step one, a user login module verifies and logs in a system through prestored verification information; the biological information acquisition module acquires biological information through a biological information acquisition program;
the central control module is respectively connected with the user login module, the biological information acquisition module, the information interconnection module, the communication module, the information classification module, the information summarizing module, the information analysis module, the information matching module and the matching scheme optimization module and is used for controlling each module to normally operate through the main control computer;
step three, the information classification module classifies the data information related to the pinctada martensii through a data information classification program; the information summarizing module summarizes the biological information of the pinctada martensii collected by the information summarizing program;
step four, the information analysis module performs information summarizing analysis according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii;
step five, searching corresponding Pinctada martensii information matching data according to the biological information characteristics of the Pinctada martensii through an information matching program by the information matching module; the matching scheme optimization module optimizes the information matching process of the pinctada martensii through a matching scheme optimization program;
step six, the information interconnection module realizes the association of biological information of various Pinctada martensii through an information interconnection program; the communication module is connected with the cloud server through communication equipment to realize transmission and cloud processing of relevant data information of the pinctada martensii;
in the third step, the information interconnection module performs association between the collected biological information of the pinctada martensii and the pinctada martensii information of the network node according to the basic information by using the information interconnection program, and the association includes:
establishing a corresponding data set according to the collected data information related to the pinctada martensii;
carrying out data preprocessing on the collected data information related to the pinctada martensii;
after the preprocessing is finished, summarizing data information and establishing a search information table with a unique identifier;
taking the identification characteristics of the related data of the pinctada martensii as retrieval items;
retrieving the retrieval items from a Pinctada martensii information database of the network node;
the retrieval of the retrieval item is carried out from a Pinctada martensii information database of the network node, and the retrieval comprises the following steps:
receiving triggering operation of a retrieval frame by the Pinctada martensii information database; acquiring a preset recommended pinctada martensii information candidate set;
inputting related search items of the pinctada martensii in a search box; retrieving information of the pinctada martensii corresponding to the retrieval item;
in the third step, the specific process of classifying the data information related to the pinctada martensii by the information classification module through the data information classification program is as follows:
determining groups or classes of data classification according to data information related to the Pinctada martensii, and randomly initializing respective central points of the groups or classes corresponding to the Pinctada martensii;
determining the distance between the data related to the pinctada martensii to be classified and a central point, and classifying the data point into which class the data point is closest to which central point;
and after the division is completed, re-establishing a new central point, and repeating the process until the change of each type of center is not large after each iteration.
Further, in the first step, the biological information includes: the shell color of the pinctada martensii, and the temperature, salinity, oxygen content and biomass of the pinctada martensii culture water body; the method comprises the following steps of Pinctada martensii breeding information, Pinctada martensii nuclear insertion technology information, Pinctada martensii MSAP technology, Pinctada martensii RNA-Seq information and Pinctada martensii genome information.
Further, the preset recommendation information candidate set comprises a user history retrieval related to the Pinctada martensii information record and/or recommended Pinctada martensii information retrieval words.
Further, in the sixth step, the transmission of the collected information by the communication module using the communication device includes: and constructing a pinctada martensii information sharing local area network to transmit the pinctada martensii information.
Further, the information sharing local area network includes: an MQTTServer module and an MQTT Client module;
the MQTT Server module is used for operating an MQTT protocol; the MQTT Client module is used for connecting the MQTT Server modules of other devices through a subscription relationship.
Further, the constructing of the information sharing local area network for information transmission includes:
receiving a setting instruction of the master device and the slave device input by a user through a first device randomly selected by the user in the local area network;
setting one master device and at least one slave device in the local area network;
the main equipment achieves subscription with the MQTT Client module of the slave equipment through the MQTT Server module;
transmitting information to the slave device through the subscription, or acquiring the information transmitted by the slave device through the subscription.
Another object of the present invention is to provide a big-data based biological information utilizing system implementing the big-data based biological information utilizing method, the big-data based biological information utilizing system comprising:
the user login module is connected with the central control module and used for verifying and logging in the system through pre-stored verification information;
biological information acquisition module is connected with central control module for through biological information acquisition procedure carry out biological information's collection, wherein, biological information includes: the shell color of the pinctada martensii, and the temperature, salinity, oxygen content and biomass of the pinctada martensii culture water body; the method comprises the following steps of (1) Pinctada martensii breeding information, Pinctada martensii nuclear insertion technology information, Pinctada martensii MSAP technology, Pinctada martensii RNA-Seq information and Pinctada martensii genome information;
the central control module is connected with the user login module, the biological information acquisition module, the information interconnection module, the communication module, the information classification module, the information collection module, the information analysis module, the information matching module and the matching scheme optimization module and is used for controlling each module to normally operate through the main control computer;
the information interconnection module is connected with the central control module and is used for realizing the association of biological information of the pinctada martensii through an information interconnection program; the information interconnection program is used for carrying out correlation between the biological information of the Pinctada martensii collected according to the basic information and the Pinctada martensii information of the network nodes, and the correlation comprises the following steps: establishing a corresponding data set according to the collected data information related to the pinctada martensii; carrying out data preprocessing on the collected data information related to the pinctada martensii; after the preprocessing is finished, summarizing data information and establishing a search information table with a unique identifier; taking the identification characteristics of the related data of the pinctada martensii as retrieval items; retrieving the retrieval items from a Pinctada martensii information database of the network node;
the communication module is connected with the central control module and is connected with the cloud server through communication equipment, so that the transmission and cloud processing of the data information related to the pinctada martensii are realized; the communication module carries out the transmission of the acquisition information, including: constructing a pinctada martensii information sharing local area network for conducting pinctada martensii information transmission; the information sharing local area network comprises: an MQTTServer module and an MQTT Client module; the MQTT Server module is used for operating an MQTT protocol; the MQTT Client module is used for connecting the MQTT Server modules of other devices through a subscription relationship.
Further, the big data-based biological information utilization system further includes:
the information classification module is connected with the central control module and classifies the data information related to the pinctada martensii through a data information classification program; the specific process is as follows: determining groups or classes of data classification according to data information related to the Pinctada martensii, and randomly initializing respective central points of the groups or classes corresponding to the Pinctada martensii; determining the distance between the data related to the pinctada martensii to be classified and a central point, and classifying the data point into which class the data point is closest to which central point; after the division is finished, re-establishing a new central point, and repeating the process until the change of each type of center is not large after each iteration;
the information summarizing module is connected with the central control module and is used for summarizing the biological information of the pinctada martensii collected by the information summarizing program;
the information analysis module is connected with the central control module, and information summary analysis is carried out according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii;
the information matching module is connected with the central control module and used for searching corresponding information matching data of the pinctada martensii according to the biological information characteristics through an information matching program;
and the matching scheme optimization module is connected with the central control module and optimizes the information matching process of the pinctada martensii through a matching scheme optimization program.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the big data based biological information utilizing method when executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to execute the big data based biological information utilization method.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the invention, the biological information acquisition module, the information interconnection module, the communication module, the information summarizing module and the information matching module are arranged to establish the association relationship among the nodes of the whole network, so that the relevant data of the pinctada martensii can be conveniently obtained, more accurate data reference is provided for researchers and pearl oyster cultivation practitioners, and the development of the relevant industries of the pinctada martensii is facilitated. According to the invention, the communication module is connected with the cloud server through the communication equipment, so that the transmission and cloud processing of the data information related to the pinctada martensii are realized, and the precision and the speed of data processing are improved.
Meanwhile, the data information related to the pinctada martensii is classified through the data information classification program through the information classification module; the information summarizing module summarizes the biological information of the pinctada martensii collected by the information summarizing program; the information analysis module performs information summary analysis according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii; the information matching module searches corresponding information matching data of the pinctada martensii according to the biological information characteristics by an information matching program; and the matching scheme optimization module optimizes the matching process of the pinctada martensii information through a matching scheme optimization program.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a block diagram of a big data-based biological information utilization system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a big data-based biological information utilization method provided by an embodiment of the invention.
Fig. 3 is a flowchart of a method for associating collected biological information of pinctada martensii with pinctada martensii information of a network node by using an information interconnection program by the information interconnection module according to the embodiment of the present invention.
Fig. 4 is a flowchart of a method for retrieving the search term from the database of information about pinctada martensii of the network node according to the embodiment of the present invention.
Fig. 5 is a flowchart of a method for constructing an information sharing lan to transmit information according to an embodiment of the present invention.
In the figure: 1. a user login module; 2. a biological information acquisition module; 3. a central control module; 4. an information interconnection module; 5. a communication module; 6. an information classification module; 7. an information summarizing module; 8. an information analysis module; 9. an information matching module; 10. and a matching scheme optimization module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problems in the prior art, the present invention provides a biological information utilization system and method based on big data, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a big data-based biological information utilization system according to an embodiment of the present invention includes:
and the user login module 1 is connected with the central control module 3 and is used for verifying and logging in the system through pre-stored verification information.
Biological information acquisition module 2 is connected with central control module 3 for through biological information acquisition procedure carry out biological information's collection, wherein, biological information includes: the shell color of the pinctada martensii, and the temperature, salinity, oxygen content and biomass of the pinctada martensii culture water body; the method comprises the following steps of Pinctada martensii breeding information, Pinctada martensii nuclear insertion technology information, Pinctada martensii MSAP technology, Pinctada martensii RNA-Seq information and Pinctada martensii genome information.
The central control module 3 is connected with the user login module 1, the biological information acquisition module 2, the information interconnection module 4, the communication module 5, the information classification module 6, the information summarizing module 7, the information analysis module 8, the information matching module 9 and the matching scheme optimization module 10, and is used for controlling the normal operation of each module through the main control computer.
And the information interconnection module 4 is connected with the central control module 3 and realizes the association of biological information of various pinctada martensii by an information interconnection program.
And the communication module 5 is connected with the central control module 3 and is connected with a cloud server through communication equipment, so that the transmission and cloud processing of the data information related to the pinctada martensii are realized.
And the information classification module 6 is connected with the central control module 3 and classifies the data information related to the pinctada martensii through a data information classification program.
And the information summarizing module 7 is connected with the central control module 3 and is used for summarizing the biological information of the pinctada martensii collected through an information summarizing program.
And the information analysis module 8 is connected with the central control module 3, and performs information summarizing analysis according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii.
And the information matching module 9 is connected with the central control module 3 and used for searching corresponding information matching data of the pinctada martensii according to the biological information characteristics through an information matching program.
And the matching scheme optimization module 10 is connected with the central control module 3 and optimizes the information matching process of the pinctada martensii through a matching scheme optimization program.
As shown in fig. 2, the method for utilizing biological information based on big data according to the embodiment of the present invention includes the following steps:
s101: the user login module verifies and logs in the system through the pre-stored verification information; the biological information acquisition module acquires biological information through a biological information acquisition program.
S102: the central control module is respectively connected with the user login module, the biological information acquisition module, the information interconnection module, the communication module, the information classification module, the information collection module, the information analysis module, the information matching module and the matching scheme optimization module and is used for controlling the normal operation of each module through the main control computer.
S103: the information classification module classifies the data information related to the pinctada martensii through a data information classification program; the information summarizing module summarizes the biological information of the pinctada martensii collected by the information summarizing program.
S104: and the information analysis module performs information summary analysis according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii.
S105: the information matching module searches corresponding information matching data of the pinctada martensii according to the biological information characteristics by an information matching program; and the matching scheme optimization module optimizes the matching process of the pinctada martensii information through a matching scheme optimization program.
S106: the information interconnection module realizes the association of biological information of the pinctada martensii through an information interconnection program; the communication module is connected with the cloud server through the communication equipment, and transmission and cloud processing of relevant data information of the pinctada martensii are achieved.
In S102 provided in the embodiment of the present invention, the biological information includes: the shell color of the pinctada martensii, and the temperature, salinity, oxygen content and biomass of the pinctada martensii culture water body; the method comprises the following steps of Pinctada martensii breeding information, Pinctada martensii nuclear insertion technology information, Pinctada martensii MSAP technology, Pinctada martensii RNA-Seq information and Pinctada martensii genome information.
In step S103, the specific process of classifying the data information related to the pinctada martensii by the information classification module through the data information classification program is as follows:
determining groups or classes of data classification according to data information related to the Pinctada martensii, and randomly initializing respective central points of the groups or classes corresponding to the Pinctada martensii;
determining the distance between the data related to the pinctada martensii to be classified and a central point, and classifying the data point into which class the data point is closest to which central point;
and after the division is completed, re-establishing a new central point, and repeating the process until the change of each type of center is not large after each iteration.
As shown in fig. 3, in step S103, the association between the biological information of the pinctada martensii collected by the information interconnection module according to the basic information by using the information interconnection program according to the embodiment of the present invention and the pinctada martensii information of the network node includes:
s201, establishing a corresponding data set according to the collected data information related to the Pinctada martensii;
s202, carrying out data preprocessing on the collected data information related to the pinctada martensii;
s203, after the preprocessing is finished, summarizing data information, and establishing a search information table with a unique identifier;
s204, taking the identification characteristics of the related data of the pinctada martensii as a retrieval item;
s205, retrieving the retrieval items from the Pinctada martensii information database of the network node.
As shown in fig. 4, in step S205, the retrieving of the search term from the pinctada martensii information database of the network node according to the embodiment of the present invention includes:
s301, receiving a triggering operation of a retrieval frame by a Pinctada martensii information database;
s302, acquiring a preset recommended Pinctada martensii information candidate set;
s303, inputting retrieval items related to the Pinctada martensii in a retrieval frame;
s304, retrieving information of the Pinctada martensii corresponding to the retrieval item.
In step S302, the preset recommendation information candidate set provided by the embodiment of the present invention includes nacre information search terms that are used for user history search and are recorded and/or recommended with respect to nacre information.
In step S106, the transmission of the collected information by the communication module according to the embodiment of the present invention includes: and constructing a pinctada martensii information sharing local area network to transmit the pinctada martensii information.
The information sharing local area network provided by the embodiment of the invention comprises: MQTTServer module and MQTT Client module.
The MQTT Server module provided by the embodiment of the invention is used for operating an MQTT protocol; the MQTT Client module is used for connecting the MQTT Server modules of other devices through a subscription relationship.
As shown in fig. 5, the constructing of the information sharing lan for information transmission according to the embodiment of the present invention includes:
s401, receiving a setting instruction of a master device and a slave device input by a user through a first device randomly selected by the user in the local area network;
s402, setting one master device and at least one slave device in the local area network;
s403, the main device and the MQTT Client module of the slave device form a subscription through the MQTT Server module;
s404, transmitting information to the slave device through the subscription, or acquiring the information transmitted by the slave device through the subscription.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A big data-based biological information utilization method is characterized by comprising the following steps:
step one, a user login module verifies and logs in a system through prestored verification information; the biological information acquisition module acquires biological information through a biological information acquisition program;
the central control module is respectively connected with the user login module, the biological information acquisition module, the information interconnection module, the communication module, the information classification module, the information summarizing module, the information analysis module, the information matching module and the matching scheme optimization module and is used for controlling each module to normally operate through the main control computer;
step three, the information classification module classifies the data information related to the pinctada martensii through a data information classification program; the information summarizing module summarizes the biological information of the pinctada martensii collected by the information summarizing program;
step four, the information analysis module performs information summarizing analysis according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii;
step five, searching corresponding Pinctada martensii information matching data according to the biological information characteristics of the Pinctada martensii through an information matching program by the information matching module; the matching scheme optimization module optimizes the information matching process of the pinctada martensii through a matching scheme optimization program;
step six, the information interconnection module realizes the association of biological information of various Pinctada martensii through an information interconnection program; the communication module is connected with the cloud server through communication equipment to realize transmission and cloud processing of relevant data information of the pinctada martensii;
in the third step, the information interconnection module performs association between the collected biological information of the pinctada martensii and the pinctada martensii information of the network node according to the basic information by using the information interconnection program, and the association includes:
establishing a corresponding data set according to the collected data information related to the pinctada martensii;
carrying out data preprocessing on the collected data information related to the pinctada martensii;
after the preprocessing is finished, summarizing data information and establishing a search information table with a unique identifier;
taking the identification characteristics of the related data of the pinctada martensii as retrieval items;
retrieving the retrieval items from a Pinctada martensii information database of the network node;
the retrieval of the retrieval item is carried out from a Pinctada martensii information database of the network node, and the retrieval comprises the following steps:
receiving triggering operation of a retrieval frame by the Pinctada martensii information database; acquiring a preset recommended pinctada martensii information candidate set;
inputting related search items of the pinctada martensii in a search box; retrieving information of the pinctada martensii corresponding to the retrieval item;
in the third step, the specific process of classifying the data information related to the pinctada martensii by the information classification module through the data information classification program is as follows:
determining groups or classes of data classification according to data information related to the Pinctada martensii, and randomly initializing respective central points of the groups or classes corresponding to the Pinctada martensii;
determining the distance between the data related to the pinctada martensii to be classified and a central point, and classifying the data point into which class the data point is closest to which central point;
and after the division is completed, re-establishing a new central point, and repeating the process until the change of each type of center is not large after each iteration.
2. The big data-based biological information utilization method according to claim 1, wherein in the first step, the biological information comprises: the shell color of the pinctada martensii, and the temperature, salinity, oxygen content and biomass of the pinctada martensii culture water body; the method comprises the following steps of Pinctada martensii breeding information, Pinctada martensii nuclear insertion technology information, Pinctada martensii MSAP technology, Pinctada martensii RNA-Seq information and Pinctada martensii genome information.
3. The big-data-based biological information utilization method according to claim 1, wherein the preset recommendation information candidate set includes a user history search on Pinctada martensii information records and/or recommended Pinctada martensii information search words.
4. The big data-based biological information utilization method according to claim 1, wherein in the sixth step, the communication module utilizes the communication device to perform the transmission of the collected information, and the transmission comprises: and constructing a pinctada martensii information sharing local area network to transmit the pinctada martensii information.
5. The big-data based biological information utilization method according to claim 4, wherein the information sharing local area network comprises: an MQTTServer module and an MQTT Client module;
the MQTT Server module is used for operating an MQTT protocol; the MQTT Client module is used for connecting the MQTT Server modules of other devices through a subscription relationship.
6. The big data based biological information utilization method according to claim 4, wherein the constructing of the information sharing local area network for information transmission comprises:
receiving a setting instruction of the master device and the slave device input by a user through a first device randomly selected by the user in the local area network;
setting one master device and at least one slave device in the local area network;
the main equipment achieves subscription with the MQTT Client module of the slave equipment through the MQTT Server module;
transmitting information to the slave device through the subscription, or acquiring the information transmitted by the slave device through the subscription.
7. A big-data based biological information utilization system for implementing the big-data based biological information utilization method according to any one of claims 1 to 6, the big-data based biological information utilization system comprising:
the user login module is connected with the central control module and used for verifying and logging in the system through pre-stored verification information;
biological information acquisition module is connected with central control module for through biological information acquisition procedure carry out biological information's collection, wherein, biological information includes: the shell color of the pinctada martensii, and the temperature, salinity, oxygen content and biomass of the pinctada martensii culture water body; the method comprises the following steps of (1) Pinctada martensii breeding information, Pinctada martensii nuclear insertion technology information, Pinctada martensii MSAP technology, Pinctada martensii RNA-Seq information and Pinctada martensii genome information;
the central control module is connected with the user login module, the biological information acquisition module, the information interconnection module, the communication module, the information classification module, the information collection module, the information analysis module, the information matching module and the matching scheme optimization module and is used for controlling each module to normally operate through the main control computer;
the information interconnection module is connected with the central control module and is used for realizing the association of biological information of the pinctada martensii through an information interconnection program; the information interconnection program is used for carrying out correlation between the biological information of the Pinctada martensii collected according to the basic information and the Pinctada martensii information of the network nodes, and the correlation comprises the following steps: establishing a corresponding data set according to the collected data information related to the pinctada martensii; carrying out data preprocessing on the collected data information related to the pinctada martensii; after the preprocessing is finished, summarizing data information and establishing a search information table with a unique identifier; taking the identification characteristics of the related data of the pinctada martensii as retrieval items; retrieving the retrieval items from a Pinctada martensii information database of the network node;
the communication module is connected with the central control module and is connected with the cloud server through communication equipment, so that the transmission and cloud processing of the data information related to the pinctada martensii are realized; the communication module carries out the transmission of the acquisition information, including: constructing a pinctada martensii information sharing local area network for conducting pinctada martensii information transmission; the information sharing local area network comprises: an MQTTServer module and an MQTT Client module; the MQTT Server module is used for operating an MQTT protocol; the MQTT Client module is used for connecting the MQTT Server modules of other devices through a subscription relationship.
8. The big-data based biological information utilizing system as claimed in claim 7, wherein the big-data based biological information utilizing system further comprises:
the information classification module is connected with the central control module and classifies the data information related to the pinctada martensii through a data information classification program; the specific process is as follows: determining groups or classes of data classification according to data information related to the Pinctada martensii, and randomly initializing respective central points of the groups or classes corresponding to the Pinctada martensii; determining the distance between the data related to the pinctada martensii to be classified and a central point, and classifying the data point into which class the data point is closest to which central point; after the division is finished, re-establishing a new central point, and repeating the process until the change of each type of center is not large after each iteration;
the information summarizing module is connected with the central control module and is used for summarizing the biological information of the pinctada martensii collected by the information summarizing program;
the information analysis module is connected with the central control module, and information summary analysis is carried out according to the biological information of the pinctada martensii through an information analysis program to obtain a conclusion corresponding to the biological information of the pinctada martensii;
the information matching module is connected with the central control module and used for searching corresponding information matching data of the pinctada martensii according to the biological information characteristics through an information matching program;
and the matching scheme optimization module is connected with the central control module and optimizes the information matching process of the pinctada martensii through a matching scheme optimization program.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the big data based biological information utilization method of any of claims 1 to 6 when executed on an electronic device.
10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to execute the big data based biological information utilization method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110253730.2A CN113016658B (en) | 2021-03-09 | 2021-03-09 | Biological information utilization system and method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110253730.2A CN113016658B (en) | 2021-03-09 | 2021-03-09 | Biological information utilization system and method based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113016658A true CN113016658A (en) | 2021-06-25 |
| CN113016658B CN113016658B (en) | 2022-05-27 |
Family
ID=76467060
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110253730.2A Active CN113016658B (en) | 2021-03-09 | 2021-03-09 | Biological information utilization system and method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113016658B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110192213A1 (en) * | 2008-05-23 | 2011-08-11 | C-Lock Inc. | Method and system for monitoring and reducing ruminant methane production |
| US20120294876A1 (en) * | 2011-05-19 | 2012-11-22 | C-Lock Inc. | Vaccine and health-related applications for ruminant breath monitoring system |
| CN107667904A (en) * | 2017-07-27 | 2018-02-09 | 北京奥云牧数据科技有限公司 | Live pig big data system based on technology of Internet of things |
| CN108094254A (en) * | 2017-12-27 | 2018-06-01 | 无锡金铭祥机械有限公司 | A kind of pet life intelligent management system based on cloud service |
| CN108308060A (en) * | 2018-03-26 | 2018-07-24 | 域通全球成都科技有限责任公司 | A kind of cultivating system based on big data |
| CN208569342U (en) * | 2018-05-30 | 2019-03-01 | 山东省农业科学院科技信息研究所 | A kind of accurate culture control system of marine shellfish |
| CN110378591A (en) * | 2019-07-11 | 2019-10-25 | 仲恺农业工程学院 | A kind of crop breeding information measurement system and method based on decision tree |
| CN111742853A (en) * | 2020-07-31 | 2020-10-09 | 刘同友 | Intelligent pig raising growth health dynamic monitoring management system based on big data |
| CN112287121A (en) * | 2020-11-09 | 2021-01-29 | 北京沃东天骏信息技术有限公司 | Push information generation method and device |
-
2021
- 2021-03-09 CN CN202110253730.2A patent/CN113016658B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110192213A1 (en) * | 2008-05-23 | 2011-08-11 | C-Lock Inc. | Method and system for monitoring and reducing ruminant methane production |
| US20120294876A1 (en) * | 2011-05-19 | 2012-11-22 | C-Lock Inc. | Vaccine and health-related applications for ruminant breath monitoring system |
| CN107667904A (en) * | 2017-07-27 | 2018-02-09 | 北京奥云牧数据科技有限公司 | Live pig big data system based on technology of Internet of things |
| CN108094254A (en) * | 2017-12-27 | 2018-06-01 | 无锡金铭祥机械有限公司 | A kind of pet life intelligent management system based on cloud service |
| CN108308060A (en) * | 2018-03-26 | 2018-07-24 | 域通全球成都科技有限责任公司 | A kind of cultivating system based on big data |
| CN208569342U (en) * | 2018-05-30 | 2019-03-01 | 山东省农业科学院科技信息研究所 | A kind of accurate culture control system of marine shellfish |
| CN110378591A (en) * | 2019-07-11 | 2019-10-25 | 仲恺农业工程学院 | A kind of crop breeding information measurement system and method based on decision tree |
| CN111742853A (en) * | 2020-07-31 | 2020-10-09 | 刘同友 | Intelligent pig raising growth health dynamic monitoring management system based on big data |
| CN112287121A (en) * | 2020-11-09 | 2021-01-29 | 北京沃东天骏信息技术有限公司 | Push information generation method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113016658B (en) | 2022-05-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fisheries | Aquaculture department | |
| Eknath et al. | Genetic improvement of farmed tilapias (GIFT) project: Final report, March 1988 to December 1997 | |
| CN103798167B (en) | The artificial breeding method of a kind of Ostrea cucullata | |
| CN103070119B (en) | Aquatic animal selective breeding method adopting group as unit | |
| CN105052786B (en) | A kind of preparation method of the method for optimizing of Marsupenaeus japonicus autumn seedling wild type and the appearance model of fundamental group | |
| Bardach | Aquaculture: husbandry of aquatic animals can contribute increasingly to supplies of high-grade protein food. | |
| CN104304104B (en) | Method for preparing monomer oyster fries by utilizing vertical growth characteristics of oysters | |
| Lü et al. | Comparison and Optimal Prediction of Goptimal prediction of growth of Babylonia areolata and B. lutosa | |
| Paran et al. | Production of juvenile mud crabs, Scylla serrata: Captive breeding, larviculture and nursery production | |
| CN113016658B (en) | Biological information utilization system and method based on big data | |
| CN104381158B (en) | Method for breeding larvae-type oysters by oviparous-type means | |
| Crawford et al. | The mariculture of giant clams | |
| López‐Martínez et al. | Multiple reproduction forms in the polyps of the cannonball jellyfish Stomolophus sp. 2: Probable life‐cycle reversal | |
| Kaev | Growth features for pink salmon Oncorhynchus gorbuscha in generations with different survival rate in the marine period of life | |
| Carter | Allometric Growth Patterns of Laboratory-Reared Florida Blenny (Chasmodes Saburrae) and Phylogenetic Review of Hypleurochilus Blenniids in the Northwestern Atlantic and Gulf of Mexico | |
| Kirk | Marine fish and shellfish culture in the member states of the European Economic Community | |
| Nicholson | A Manual of Zoology | |
| Muir | Aquaculture—towards the future | |
| Natividad et al. | An IoT Based pH Level Monitoring Mobile Application on Fishponds using pH Sensor and Waterproof Temperature Sensor | |
| Henderson | Along the world's coastlines | |
| Chin | Distributions of Dungeness crab (Cancer magister) zoea in the California Current: Closing a life history gap | |
| KAN-NO¹ et al. | The present status of shellfish culture in Japan | |
| Muthu et al. | Advantages of domestication of the Indian white prawn, Penaeus indicus | |
| Paroda | Aquaculture development and the blue revolution. | |
| Hall | An appraisal of commercial oyster culture in the United Kingdom |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |