CN112202926A - Cultivation monitoring method, system, equipment and storage medium - Google Patents

Cultivation monitoring method, system, equipment and storage medium Download PDF

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CN112202926A
CN112202926A CN202011269946.XA CN202011269946A CN112202926A CN 112202926 A CN112202926 A CN 112202926A CN 202011269946 A CN202011269946 A CN 202011269946A CN 112202926 A CN112202926 A CN 112202926A
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distributed
earring
node systems
information
data
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CN112202926B (en
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谭粤飞
阳尧
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Shenzhen Tengmeng Technology Co ltd
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Shenzhen Tengmeng Technology Co ltd
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    • 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
    • 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
    • A01K11/00—Marking of animals
    • A01K11/001—Ear-tags
    • 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
    • A01K11/00—Marking of animals
    • A01K11/006—Automatic identification systems for animals, e.g. electronic devices, transponders for animals
    • 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
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • 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
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
    • 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
    • H04L67/10—Protocols in which an application is distributed across nodes in the network

Abstract

The invention relates to the field of facial recognition, and discloses a breeding monitoring method, a breeding monitoring system, breeding monitoring equipment and a storage medium. The method comprises the following steps: the N distributed management node systems send individual verification instructions to the M distributed farm node systems according to preset verification interval time; the M distributed farm node systems receive the individual verification instruction and send a scanning identification instruction to the X distributed shooting node systems; the X distributed shooting node systems receive the scanning identification instruction, carry out face identification on animal individuals corresponding to all earring information, generate face identification data and hash values corresponding to the face identification data; judging whether the sum of the number of all the face identification data is less than Y; and if not, sequentially setting all earring information as tags of the facial recognition data, storing all the facial recognition data in a first monitoring database based on the IPFS protocol, and storing the hash value in a second monitoring database based on the super ledger protocol.

Description

Cultivation monitoring method, system, equipment and storage medium
Technical Field
The invention relates to the field of facial recognition, in particular to a breeding monitoring method, a breeding monitoring system, breeding monitoring equipment and a storage medium.
Background
In the farmer market, the monitoring requirements of cultured products are more and more strict, and the product requirements with higher and higher consumption requirements of people and extensive culture in the current culture technology create a larger gap. Moreover, some illegal merchants change breeding records, and the intention of the illegal merchants is to fully and well influence the trust of breeding products. In order to solve the efficiency of the breeding industry, improve the quality of breeding varieties and avoid the falsification of breeding data, a company and family farm mode is popular in the pig breeding industry at present for breeding. In the mode, the company provides related resources such as the pig seedlings, the feed, the medicines and the like, and farmers build farms for the self-service of the pig seedlings.
However, there are three major problems with this model: 1, the pig farming monitoring system does not realize 24-hour supervision on farmer-raised pigs, so that the safety management of pork food is problematic; 2, monitoring data of the pigs in the growth process is not rich enough, and information of the pigs from entering to leaving is lack of tracking and summarizing, so that the breeding efficiency is difficult to improve; 3 the pig has the risk of being lost or stealing information in the slaughtering process. To solve these problems, a system for collecting, monitoring and securely storing data in real time is required, and a new technology for providing a solution to this mode is required.
Disclosure of Invention
The invention mainly aims to solve the technical problems of lack of cultivation product data monitoring and easy data storage tampering in the cultivation process.
The invention provides a monitoring method for cultivation, which is applied to a monitoring system for cultivation, and the monitoring system for cultivation comprises: the system comprises N distributed management node systems, M distributed farm node systems, X distributed shooting node systems and Y distributed radio frequency earring systems, wherein the N management node systems, the M distributed farm node systems and the X distributed shooting node systems are mutually communicated based on an IPFS protocol, the Y distributed radio frequency earring systems broadcast and send corresponding earring information, the Y distributed radio frequency earring systems are distributed and installed on cultured animal individuals, and the culture monitoring method comprises the following steps:
the N distributed management node systems send individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
the M distributed farm node systems receive the individual verification instruction, and send a scanning identification instruction to the X distributed shooting node systems according to the individual verification instruction, wherein X is a positive integer not less than M;
the X distributed shooting node systems receive the scanning identification instruction, carry out face identification on animal individuals corresponding to all earring information according to all earring information, generate face identification data corresponding to all earring information, and generate hash values corresponding to the face identification data;
judging whether the sum of the quantity of all the face identification data is smaller than Y, wherein Y is a positive integer;
and if the number of the earrings is not less than the preset number, sequentially setting all the earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super book protocol.
Optionally, in a first implementation manner of the first aspect of the present invention, before the sending, by the N distributed management node systems, an individual verification instruction to the M distributed farm node systems according to a preset verification interval time, the method further includes:
the N distributed management node systems and the M distributed farm node systems generate backup files in the N distributed management node systems and the M distributed farm node systems based on an IPFS protocol according to a preset backup quantity;
the N distributed management node systems and the M distributed farm node systems generate N + M key codes corresponding to the nodes in sequence based on an IPFS protocol, and the N + M key codes are transmitted to a preset IPFS protocol management system.
Optionally, in a second implementation manner of the first aspect of the present invention, the broadcasting and sending the corresponding earring information by the Y distributed radio frequency earring systems includes:
the Y distributed radio frequency earring systems, the N management node systems, the M distributed farm node systems and the X distributed shooting node systems are in communication connection with each other based on an IPFS protocol;
and the Y distributed radio frequency earring systems broadcast and send corresponding geographic positions and earring identifiers based on the mDNS protocol.
Optionally, in a third implementation manner of the first aspect of the present invention, the performing facial recognition on animal individuals corresponding to all the earring information according to all the earring information, and generating facial recognition data corresponding to all the earring information includes:
writing all earring information into a transfer matrix frame according to the character string sequence to generate a transfer matrix;
sequentially reading the geographic positions of the earring information in the transfer matrix, and carrying out face recognition on animal individuals corresponding to the geographic positions to generate corresponding face recognition data;
reading earring identifiers of the individual animals corresponding to the distributed radio frequency earring system;
judging whether the earring identifier is consistent with an earring identifier corresponding to the face identification data;
and if the face identification data are consistent, writing the face identification data into a corresponding matrix unit of earring information of the transfer matrix.
Optionally, in a fourth implementation manner of the first aspect of the present invention, after the determining whether the sum of the quantities of all the facial recognition data is smaller than Y, the method further includes:
and if the sum of the quantities is less than Y, sending breeding abnormal information to the N distributed management node systems.
Optionally, in a fifth implementation manner of the first aspect of the present invention, after the storing all the facial recognition data in a preset monitoring database based on a hyper book protocol, the method further includes:
the N distributed management node systems send video acquisition instructions to the M distributed farm node systems according to preset video acquisition interval time;
the M distributed farm node systems receive the video acquisition instruction and send a body temperature identification instruction to the X distributed shooting node systems;
the X distributed shooting node systems receive the body temperature identification instruction, sequentially read the hash values in the second monitoring database, and call face identification data corresponding to the hash values from the first monitoring database;
analyzing corresponding earring information in the face identification data, shooting video data of animal individuals corresponding to the earring information according to the earring information and preset recording duration, and collecting body temperature data of the animal individuals in the recording duration;
calculating the average body temperature corresponding to the animal individual in the recording duration according to the body temperature data acquired in the recording duration;
setting a hash value corresponding to the earring information as a label of the earring information corresponding to the average body temperature and the video data, and storing the average body temperature and the video data in the first monitoring database.
Optionally, in a sixth implementation manner of the first aspect of the present invention, after the calculating, according to the body temperature data acquired in the recording duration, an average body temperature corresponding to the individual animal in the recording duration, and before setting the earring information as a tag corresponding to the average body temperature and the video data, the method further includes:
carrying out face recognition on animal individuals in the video data to generate video face recognition data;
judging whether the video face identification data and the animal individuals corresponding to the face identification data are the same individual or not;
if the video face identification data are not the same individual, marking the corresponding animal individual in the video face identification data, and sending the video face identification data to the N distributed management node systems.
In a second aspect, the present invention provides a monitoring system for cultivation, comprising:
n distributed management node systems, M distributed farm node systems, X distributed shooting node systems and Y distributed radio frequency earring systems;
the Y distributed radio frequency earring systems broadcast and send corresponding earring information, and are distributed and installed on the cultured animal individuals;
the N distributed management node systems are used for sending individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
the X distributed shooting node systems are used for receiving the scanning identification instruction, carrying out face identification on animal individuals corresponding to all earring information according to all earring information, generating face identification data corresponding to all earring information, and generating hash values corresponding to the face identification data; judging whether the sum of the quantity of all the face identification data is smaller than Y, wherein Y is a positive integer; and if the number of the earrings is not less than the preset number, sequentially setting all the earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super book protocol.
A third aspect of the invention provides a monitoring device for cultivation, comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor invokes the instructions in the memory to cause the monitoring device of the farming to perform the monitoring method of the farming described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which, when run on a computer, cause the computer to perform the monitoring method of farming described above.
Drawings
FIG. 1 is a schematic diagram of a first embodiment of a monitoring method for cultivation according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a second embodiment of a monitoring method for cultivation according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a third embodiment of a monitoring method for cultivation according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an embodiment of a monitoring system for aquaculture in an embodiment of the present invention;
FIG. 5 is a schematic diagram of another embodiment of a farming monitoring system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an embodiment of a monitoring device for aquaculture in an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a cultivation monitoring method, a cultivation monitoring system, cultivation monitoring equipment and a storage medium.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For easy understanding, a specific flow of an embodiment of the present invention is described below, and referring to fig. 1, a first embodiment of a monitoring method for cultivation according to an embodiment of the present invention includes:
101. the N distributed management node systems send individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
in this embodiment, when the breeding problem is solved by the deployment node devices of N distributed management nodes in N relevant departments inside a company, the N distributed management node devices are established based on a block chain technology of a hyper ledger (hyper hedger) system, and transmitted data has the characteristic of being fixed and unalterable. N pieces of distributed management node equipment send verification instructions to M pieces of distributed farm node systems based on an IPFS (InterPlanety File System) transmission protocol, the M pieces of distributed farm node systems are systems established in M farmer households, the N pieces of distributed management node systems and the M pieces of distributed farm node systems can communicate with each other, the number of client nodes of the IPFS (InterPlanety File System) is set to be N + M in the IPFS (InterPlanety File System) transmission management equipment, the number of equipment backups can be p, and a block chain based on a hyper account book (Hyperfinder) system and a comprehensive transmission network system based on an IPFS (InterPlanety File System) distributed storage system are formed.
102. The method comprises the following steps that M distributed farm node systems receive individual verification instructions, and scanning identification instructions are sent to X distributed shooting node systems according to the individual verification instructions, wherein X is a positive integer not less than M;
in this embodiment, the M distributed farm node systems receive individual verification instructions, and the verification instructions verify whether the individuals with different earring information are accurate in order to receive the earring information of the Y distributed radio frequency earring systems. The Y distributed radio frequency earring systems are sequentially arranged in earrings for breeding individual pigs, each pig is provided with an earring, and the pigsty of each farm in the M farms is k1、k2、…、kmFarm with number iThe number of pigs is lkiThen M farms share the radio frequency earring
Figure BDA0002777353650000061
And X distributed shooting node systems are shooting equipment of each farm, and X is at least
Figure BDA0002777353650000062
And after receiving the commands, the M distributed farm node systems send scanning identification commands to the distributed shooting node systems distributed in the same farm, wherein X is larger than or equal to the number of M, and each farm at least comprises one shooting node system.
103. The X distributed shooting node systems receive the scanning identification instruction, carry out face identification on the animal individuals corresponding to all earring information according to all earring information, generate face identification data corresponding to all earring information and generate hash values corresponding to the face identification data;
in this embodiment, the X distributed shooting node systems receive the identification instruction, each shooting node analyzes according to geographic information and earring feature codes sent by radio frequency earrings on the same farm, receives earring information and identifies faces of individual radio frequency earring animals sending the information, the faces are identified by using an existing Deep Face model, and Face data corresponding to the earring information are obtained through Face identification. And generating corresponding face identification data for each radio frequency earring, wherein the face identification data are earring feature codes, and matching can be carried out according to the feature codes to judge whether the earrings are the same animal individual or not. Meanwhile, in order to store the face recognition data, a hash value corresponding to the face recognition data is generated, and the hash value can be used as a verification character for reading the face recognition data.
104. Judging whether the sum of the quantity of all the facial recognition data is smaller than Y, wherein Y is a positive integer;
in this embodiment, the shooting node system scans and acquires the facial recognition data corresponding to each earring feature code, counts the number R of the acquired facial recognition data, and if R is smaller than Y, it indicates that scanning is not completed, then scanning is continued, and the inquiry and scanning result in the facial recognition data of all the cultured individuals, that is, when R is equal to Y, the behavior of monitoring the cultured individuals can be determined to be completed. If R is smaller than Y, then the data of R can be excluded according to the early warning Y, and the non-face recognition data is transmitted to the N distributed management node systems, and the N distributed management node systems determine that no error exists.
105. And if the number of the earrings is not less than the preset number, sequentially setting all earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super ledger protocol.
In this embodiment, when R is not less than Y, the earring information is marked as a tag of facial recognition data, the earring information is associated with facial recognition, and the X distributed shooting node systems store the data that are all verified to be qualified in the monitoring database based on the block chain technology of the hyper ledger (hyper ledger) protocol, where the first monitoring database may be locally stored data, may also be a cloud database based on a container technology, and may also be a distributed storage system based on IPFS, thereby avoiding data loss and distributed disaster recovery storage in different places. When reading data, the hash value in the second monitoring database based on the super ledger protocol needs to be accessed first, and the face identification data corresponding to the hash value in the first monitoring database of the IPFS protocol is accessed according to the hash value.
In the embodiment of the invention, N distributed management node systems are distributed in a company based on a hyper book (Hyperhedger) protocol, M distributed farm node systems are distributed in different individual farmers, N + M data nodes are mutually transmitted through an IPFS protocol system, the state of each cultivated individual is monitored through mature facial recognition, fine management is realized, monitoring in the cultivation process is completed, and data safety is realized based on a block chain technology to ensure that cultivation data cannot be tampered.
Referring to fig. 2, a second embodiment of the monitoring method for cultivation according to the embodiment of the present invention includes:
201. the N distributed management node systems and the M distributed farm node systems generate backup files in the N distributed management node systems and the M distributed farm node systems based on an IPFS protocol according to the preset backup quantity;
in this embodiment, if the backup number is P, P backup files are generated in N distributed management node systems and M distributed farm node systems according to the existing IPFS protocol.
202. The N distributed management node systems and the M distributed farm node systems generate N + M key codes sequentially corresponding to the nodes based on the IPFS protocol, and the N + M key codes are transmitted to a preset IPFS protocol management system;
in this embodiment, after the P backup files are made, each node in the N distributed management node systems and the M distributed farm node systems correspondingly generates a corresponding node IPFS protocol key and sends the key to the IPFS protocol management system, and mutual access between each node in the N distributed management node systems and the M distributed farm node systems is confirmed according to the key, so as to ensure data security.
203. The Y distributed radio frequency earring systems are in communication connection with the N management node systems, the M distributed farm node systems and the X distributed shooting node systems based on an IPFS protocol;
in this embodiment, the interconnection of the Y distributed radio frequency earring systems with each of the IPFS system nodes is based on the communication connection of the IPFS protocol.
204. Y distributed radio frequency earring systems broadcast and send corresponding geographic positions and earring identifiers based on an mDNS protocol;
in this embodiment, Y distributed rf earrings are connected based on IPFS protocol transmissions, and the geographical location and earring identifier are transmitted using mDNS protocol broadcast transmissions, and the N management node systems and the M distributed farm node systems may sequentially pass data transmitted by the entire Y rf earrings.
205. The N distributed management node systems send individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
206. the method comprises the following steps that M distributed farm node systems receive individual verification instructions, and scanning identification instructions are sent to X distributed shooting node systems according to the individual verification instructions, wherein X is a positive integer not less than M;
207. x distributed shooting node systems receive scanning identification instructions;
205-207 are similar to the first embodiment, and reference may be made to the corresponding processes in the foregoing method embodiments, which are not repeated herein.
208. Writing all earring information into a transfer matrix frame according to the character string sequence to generate a transfer matrix;
in the present embodiment, earring information { code: sjdjd, place: DFSFCF is written into a transfer matrix frame as an element, and all earring information is written according to the sequence of character strings.
209. Sequentially reading the geographic position of earring information in the transfer matrix, and carrying out face recognition on the animal individual corresponding to the geographic position to generate corresponding face recognition data;
in this embodiment, { code: sjdjd, place: and (4) reading the geographical position data after place in DFSFCF, searching and judging by X distributed shooting node systems, selecting corresponding nodes to scan animal individuals, and generating face identification data, wherein the location positioning processing of the scanning nodes is very conventional and is not repeated herein.
210. Reading earring identifiers of the individual animals corresponding to the distributed radio frequency earring system;
in this embodiment, earring identifier "sjdjdjd" of earring identifiers corresponding to distributed radio frequency earring systems is read for individual animals.
211. Judging whether the earring identifier is consistent with the earring identifier corresponding to the face identification data;
in the present embodiment, the earring identifier "sjdjd" is judged to be associated with the registered content { code: sjdjd, place: DFSFCF } whether "sjd" in the list belongs to a consensus.
212. If the face identification data are consistent, writing the face identification data into the earring information corresponding matrix unit of the transfer matrix;
in the present embodiment, if it is determined to be consistent, the face recognition data is written in { code: sjdjd, place: DFSFCF } as an element in a cell in the same row or column.
213. Generating a hash value corresponding to the face identification data;
214. judging whether the sum of the quantity of all the facial recognition data is smaller than Y, wherein Y is a positive integer;
215. if not, sequentially setting all earring information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super ledger protocol;
213-215 are similar to the first embodiment, and reference may be made to the corresponding process in the foregoing method embodiments, which is not repeated herein.
216. And if the sum of the quantities is less than Y, sending the abnormal breeding information to the N distributed management node systems.
In the present embodiment, the abnormality information in which no face data is detected in Y is transmitted to N distributed management node systems installed in the company, smaller than the data.
In the embodiment of the invention, N distributed management node systems are distributed in a company based on a hyper book (Hyperhedger) protocol, M distributed farm node systems are distributed in different individual farmers, N + M data nodes are mutually transmitted through an IPFS protocol system, the state of each cultivated individual is monitored through mature facial recognition, fine management is realized, monitoring in the cultivation process is completed, and data safety is realized based on a block chain technology to ensure that cultivation data cannot be tampered.
Referring to fig. 3, a third embodiment of the monitoring method for cultivation according to the embodiment of the present invention includes:
301. the N distributed management node systems send individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
302. the method comprises the following steps that M distributed farm node systems receive individual verification instructions, and scanning identification instructions are sent to X distributed shooting node systems according to the individual verification instructions, wherein X is a positive integer not less than M;
303. the X distributed shooting node systems receive the scanning identification instruction, carry out face identification on the animal individuals corresponding to all earring information according to all earring information, generate face identification data corresponding to all earring information and generate hash values corresponding to the face identification data;
304. judging whether the sum of the quantity of all the facial recognition data is smaller than Y, wherein Y is a positive integer;
305. if not, sequentially setting all earring information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super ledger protocol;
the method embodiments described in 301-305 are similar to the first embodiment, and reference may be made to the corresponding processes in the foregoing method embodiments, which are not repeated herein.
306. The N distributed management node systems send video acquisition instructions to the M distributed farm node systems according to preset video acquisition interval time;
in this embodiment, if the video capture interval is 1 day, a video capture command is sent to M distributed farm node systems in individual farm households every other day.
307. The M distributed farm node systems receive the video acquisition instruction and send a body temperature identification instruction to the X distributed shooting node systems;
in the embodiment, M distributed farm node systems receive a video acquisition instruction {452} and send a body temperature identification instruction {6333} to X distributed shooting node systems.
308. The X distributed shooting node systems receive the body temperature identification instruction, sequentially read the Hash values in the second monitoring database, and call face identification data corresponding to the Hash values from the first monitoring database;
in this embodiment, after receiving the instruction, the X distributed shooting node systems read the hash value in the second monitoring database, and access the facial recognition data in the first monitoring database according to the hash value.
309. Analyzing corresponding earring information in the face identification data, shooting video data of animal individuals corresponding to the earring information according to the earring information and preset recording duration, and collecting body temperature data of the animal individuals in the recording duration;
in the embodiment, the face recognition data and the earring information are stored in an associated mode, an animal individual is shot according to the feature code of the earring information, video data of the animal individual is shot according to the recording duration of 50 seconds, and the body temperature of the animal collected within 50 seconds is measured by using an infrared temperature measurement technology during shooting.
310. Calculating to obtain the average body temperature corresponding to the animal individual in the recording time according to the body temperature data acquired in the recording time;
in this example, the average body temperature of the animal body temperatures collected within 50 seconds was calculated.
311. Carrying out face recognition on animal individuals in the video data to generate video face recognition data;
in the present embodiment, video face recognition data is performed for an individual animal that takes a video in 50 seconds.
312. Judging whether the video face identification data and the animal individuals corresponding to the face identification data are the same individual or not;
in this embodiment, the first feature code obtained from the face recognition data and the second feature code obtained from the video face recognition data are compared to determine whether the first feature code and the second feature code are consistent with each other.
313. If the animal individuals are not the same individual, marking the corresponding animal individual in the video face identification data, and sending the video face identification data to the N distributed management node systems;
in this embodiment, if the data is inconsistent, the matching exception data needs to be sent to N distributed management node systems.
314. And setting the hash value corresponding to the earring information as a label of the earring information corresponding to the average body temperature and the video data, and storing the average body temperature and the video data in a first monitoring database.
In this embodiment, if the matching is consistent, the earring information is set as a tag corresponding to the average body temperature and the video data, and the qualified data is stored in the first monitoring database, because a hash value is required to access the first monitoring database, and the second monitoring database is based on the block chain technology of the super ledger, the hash value is stored in the second monitoring database and is not changed, and it is not achievable to directly modify the database based on the IPFS, thereby achieving the security of the data.
In the embodiment of the invention, N distributed management node systems are distributed in a company based on a hyper book (Hyperhedger) protocol, M distributed farm node systems are distributed in different individual farmers, N + M data nodes are mutually transmitted through an IPFS protocol system, the state of each cultivated individual is monitored through mature facial recognition, fine management is realized, monitoring in the cultivation process is completed, and data safety is realized based on a block chain technology to ensure that cultivation data cannot be tampered.
With reference to fig. 4, the monitoring method for cultivation in the embodiment of the present invention is described above, and a monitoring system for cultivation in the embodiment of the present invention is described below, where the monitoring system for cultivation in the embodiment of the present invention includes:
n distributed management node systems 401, M distributed farm node systems 402, X distributed shooting node systems 403, and Y distributed radio frequency earring systems 404;
the Y distributed radio frequency earring systems 404 broadcast and send corresponding earring information, and the Y distributed radio frequency earring systems 404 are distributed and installed on the cultured animal individuals;
the N distributed management node systems 401 are configured to send an individual verification instruction to the M distributed farm node systems according to a preset verification interval time, where M, N are positive integers;
the M distributed farm node systems 402 are configured to receive the individual verification instruction, and send a scanning identification instruction to the X distributed shooting node systems according to the individual verification instruction, where X is a positive integer not less than M;
the X distributed shooting node systems 403 are configured to receive the scanning identification instruction, perform face identification on animal individuals corresponding to all earring information according to all earring information, generate face identification data corresponding to all earring information, and generate hash values corresponding to the face identification data;
judging whether the sum of the quantity of all the face identification data is smaller than Y, wherein Y is a positive integer;
and if the number of the earrings is not less than the preset number, sequentially setting all the earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super book protocol.
In the embodiment of the invention, N distributed management node systems are distributed in a company based on a hyper book (Hyperhedger) protocol, M distributed farm node systems are distributed in different individual farmers, N + M data nodes are mutually transmitted through an IPFS protocol system, the state of each cultivated individual is monitored through mature facial recognition, fine management is realized, monitoring in the cultivation process is completed, and data safety is realized based on a block chain technology to ensure that cultivation data cannot be tampered.
Referring to fig. 4, in another embodiment of the monitoring system for cultivation according to the embodiment of the present invention, the monitoring system for cultivation includes:
n distributed management node systems 401, M distributed farm node systems 402, X distributed shooting node systems 403, and Y distributed radio frequency earring systems 404;
the Y distributed radio frequency earring systems 404 broadcast and send corresponding earring information, and the Y distributed radio frequency earring systems 404 are distributed and installed on the cultured animal individuals;
the N distributed management node systems 401 are configured to send an individual verification instruction to the M distributed farm node systems according to a preset verification interval time, where M, N are positive integers;
the M distributed farm node systems 402 are configured to receive the individual verification instruction, and send a scanning identification instruction to the X distributed shooting node systems according to the individual verification instruction, where X is a positive integer not less than M;
the X distributed shooting node systems 403 are configured to receive the scanning identification instruction, perform face identification on animal individuals corresponding to all earring information according to all earring information, generate face identification data corresponding to all earring information, and generate hash values corresponding to the face identification data;
judging whether the sum of the quantity of all the face identification data is smaller than Y, wherein Y is a positive integer;
and if the number of the earrings is not less than the preset number, sequentially setting all the earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super book protocol.
The monitoring system for breeding further comprises a backup management module 405, wherein the backup management module 405 is specifically configured to:
the N distributed management node systems and the M distributed farm node systems generate backup files in the N distributed management node systems and the M distributed farm node systems based on an IPFS protocol according to a preset backup quantity;
the N distributed management node systems and the M distributed farm node systems generate N + M key codes corresponding to the nodes in sequence based on an IPFS protocol, and the N + M key codes are transmitted to a preset IPFS protocol management system.
Wherein the Y distributed radio frequency earring systems 404 are specifically configured to:
the Y distributed radio frequency earring systems, the N management node systems, the M distributed farm node systems and the X distributed shooting node systems are in communication connection with each other based on an IPFS protocol;
and the Y distributed radio frequency earring systems broadcast and send corresponding geographic positions and earring identifiers based on the mDNS protocol.
The X distributed shooting node systems 403 are specifically configured to:
writing all earring information into a transfer matrix frame according to the character string sequence to generate a transfer matrix;
sequentially reading the geographic positions of the earring information in the transfer matrix, and carrying out face recognition on animal individuals corresponding to the geographic positions to generate corresponding face recognition data;
reading earring identifiers of the individual animals corresponding to the distributed radio frequency earring system;
judging whether the earring identifier is consistent with an earring identifier corresponding to the face identification data;
and if the face identification data are consistent, writing the face identification data into a corresponding matrix unit of earring information of the transfer matrix.
The monitoring system for cultivation further comprises an early warning module 406, wherein the early warning module 406 is specifically configured to:
and if the sum of the quantities is less than Y, sending breeding abnormal information to the N distributed management node systems.
The monitoring system for cultivation further comprises a video recording module 407, wherein the video recording module 407 is specifically configured to:
the N distributed management node systems send video acquisition instructions to the M distributed farm node systems according to preset video acquisition interval time;
the M distributed farm node systems receive the video acquisition instruction and send a body temperature identification instruction to the X distributed shooting node systems;
the X distributed shooting node systems receive the body temperature identification instruction, sequentially read the hash values in the second monitoring database, and call face identification data corresponding to the hash values from the first monitoring database;
analyzing corresponding earring information in the face identification data, shooting video data of animal individuals corresponding to the earring information according to the earring information and preset recording duration, and collecting body temperature data of the animal individuals in the recording duration;
calculating the average body temperature corresponding to the animal individual in the recording duration according to the body temperature data acquired in the recording duration;
setting a hash value corresponding to the earring information as a label of the earring information corresponding to the average body temperature and the video data, and storing the average body temperature and the video data in the first monitoring database.
The monitoring system for cultivation further includes a detection module 408, and the detection module 408 is specifically configured to:
carrying out face recognition on animal individuals in the video data to generate video verification data;
judging whether the animal individuals corresponding to the video verification data and the face identification data are the same individual or not;
and if the video verification data are not the same individual, marking the corresponding animal individual in the video verification data, and sending the video verification data to the N distributed management node systems.
In the embodiment of the invention, N distributed management node systems are distributed in a company based on a hyper book (Hyperhedger) protocol, M distributed farm node systems are distributed in different individual farmers, N + M data nodes are mutually transmitted through an IPFS protocol system, the state of each cultivated individual is monitored through mature facial recognition, fine management is realized, monitoring in the cultivation process is completed, and data safety is realized based on a block chain technology to ensure that cultivation data cannot be tampered.
Fig. 4 and 5 describe the monitoring system for cultivation in the embodiment of the present invention in detail from the perspective of a modular functional entity, and the monitoring device for cultivation in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 6 is a schematic structural diagram of an aquaculture monitoring device 600 according to an embodiment of the present invention, which may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 610 (e.g., one or more processors) and a memory 620, one or more storage media 630 (e.g., one or more mass storage devices) for storing applications 633 or data 632. Memory 620 and storage medium 630 may be, among other things, transient or persistent storage. The program stored on the storage medium 630 may include one or more modules (not shown), each of which may include a series of instructions operating on the monitoring devices 600 in the farm. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the monitoring device 600 of the farm.
The farm-based monitoring device 600 can also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input-output interfaces 660, and/or one or more operating systems 631, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, and the like. Those skilled in the art will appreciate that the configuration of the farming monitoring equipment shown in FIG. 6 does not constitute a limitation of the farming-based monitoring equipment, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, which may also be a volatile computer readable storage medium, having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the monitoring method of farming.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described system or system and unit may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A monitoring method for cultivation is characterized in that the monitoring method for cultivation is applied to a monitoring system for cultivation, and the monitoring system for cultivation comprises: the system comprises N distributed management node systems, M distributed farm node systems, X distributed shooting node systems and Y distributed radio frequency earring systems, wherein the N management node systems, the M distributed farm node systems and the X distributed shooting node systems are mutually communicated based on an IPFS protocol, the Y distributed radio frequency earring systems broadcast and send corresponding earring information, the Y distributed radio frequency earring systems are distributed and installed on cultured animal individuals, and the culture monitoring method comprises the following steps:
the N distributed management node systems send individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
the M distributed farm node systems receive the individual verification instruction, and send a scanning identification instruction to the X distributed shooting node systems according to the individual verification instruction, wherein X is a positive integer not less than M;
the X distributed shooting node systems receive the scanning identification instruction, carry out face identification on animal individuals corresponding to all earring information according to all earring information, generate face identification data corresponding to all earring information, and generate hash values corresponding to the face identification data;
judging whether the sum of the quantity of all the face identification data is smaller than Y, wherein Y is a positive integer;
and if the number of the earrings is not less than the preset number, sequentially setting all the earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super book protocol.
2. The cultivation monitoring method according to claim 1, before the N distributed management node systems send individual authentication instructions to the M distributed farm node systems according to a preset authentication interval, further comprising:
the N distributed management node systems and the M distributed farm node systems generate backup files in the N distributed management node systems and the M distributed farm node systems based on an IPFS protocol according to a preset backup quantity;
the N distributed management node systems and the M distributed farm node systems generate N + M key codes corresponding to the nodes in sequence based on an IPFS protocol, and the N + M key codes are transmitted to a preset IPFS protocol management system.
3. The method for monitoring cultivation according to claim 1, wherein the broadcasting and transmitting corresponding earring information by the Y distributed radio frequency earring systems comprises:
the Y distributed radio frequency earring systems, the N management node systems, the M distributed farm node systems and the X distributed shooting node systems are in communication connection with each other based on an IPFS protocol;
and the Y distributed radio frequency earring systems broadcast and send corresponding geographic positions and earring identifiers based on the mDNS protocol.
4. The cultivation monitoring method according to claim 3, wherein the performing facial recognition on the individual animals corresponding to all the earring information according to all the earring information, and the generating facial recognition data corresponding to all the earring information comprises:
writing all earring information into a transfer matrix frame according to the character string sequence to generate a transfer matrix;
sequentially reading the geographic positions of the earring information in the transfer matrix, and carrying out face recognition on animal individuals corresponding to the geographic positions to generate corresponding face recognition data;
reading earring identifiers of the individual animals corresponding to the distributed radio frequency earring system;
judging whether the earring identifier is consistent with an earring identifier corresponding to the face identification data;
and if the face identification data are consistent, writing the face identification data into a corresponding matrix unit of earring information of the transfer matrix.
5. The culture monitoring method according to claim 1, further comprising, after the determining whether the sum of the amounts of all the facial recognition data is less than Y:
and if the sum of the quantities is less than Y, sending breeding abnormal information to the N distributed management node systems.
6. The method for monitoring aquaculture of claim 1, after storing all of said facial recognition data in a preset monitoring database based on a hyper book protocol, further comprising:
the N distributed management node systems send video acquisition instructions to the M distributed farm node systems according to preset video acquisition interval time;
the M distributed farm node systems receive the video acquisition instruction and send a body temperature identification instruction to the X distributed shooting node systems;
the X distributed shooting node systems receive the body temperature identification instruction, sequentially read the hash values in the second monitoring database, and call face identification data corresponding to the hash values from the first monitoring database;
analyzing corresponding earring information in the face identification data, shooting video data of animal individuals corresponding to the earring information according to the earring information and preset recording duration, and collecting body temperature data of the animal individuals in the recording duration;
calculating the average body temperature corresponding to the animal individual in the recording duration according to the body temperature data acquired in the recording duration;
setting a hash value corresponding to the earring information as a label of the earring information corresponding to the average body temperature and the video data, and storing the average body temperature and the video data in the first monitoring database.
7. The cultivation monitoring method according to claim 6, wherein after the calculating of the average body temperature corresponding to the individual animal during the recording period according to the body temperature data collected during the recording period, before setting the earring information as a label corresponding to the average body temperature and the video data, the method further comprises:
carrying out face recognition on animal individuals in the video data to generate video face recognition data;
judging whether the video face identification data and the animal individuals corresponding to the face identification data are the same individual or not;
if the video face identification data are not the same individual, marking the corresponding animal individual in the video face identification data, and sending the video face identification data to the N distributed management node systems.
8. An aquaculture monitoring system, comprising:
n distributed management node systems, M distributed farm node systems, X distributed shooting node systems and Y distributed radio frequency earring systems;
the Y distributed radio frequency earring systems broadcast and send corresponding earring information, and are distributed and installed on the cultured animal individuals;
the N distributed management node systems are used for sending individual verification instructions to the M distributed farm node systems according to preset verification interval time, wherein M, N are positive integers;
the M distributed farm node systems are used for receiving the individual verification instruction and sending a scanning identification instruction to the X distributed shooting node systems according to the individual verification instruction, wherein X is a positive integer not less than M;
the X distributed shooting node systems are used for receiving the scanning identification instruction, carrying out face identification on animal individuals corresponding to all earring information according to all earring information, generating face identification data corresponding to all earring information, and generating hash values corresponding to the face identification data; judging whether the sum of the quantity of all the face identification data is smaller than Y, wherein Y is a positive integer; and if the number of the earrings is not less than the preset number, sequentially setting all the earrings information as labels corresponding to the facial recognition data, storing all the facial recognition data in a first monitoring database based on an IPFS protocol, and storing hash values corresponding to all the facial recognition data in a second monitoring database based on a super book protocol.
9. An aquaculture monitoring apparatus, comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line;
the at least one processor invokes the instructions in the memory to cause the monitoring device of the farming to perform the monitoring method of the farming of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of monitoring a culture according to any one of claims 1-7.
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