WO2020133558A1 - Intelligent farm management system and method based on two-dimensional code task navigation - Google Patents

Abstract

An intelligent farm management system and method based on two-dimensional code task navigation, which relate to the technical field of intelligent farm management. The system comprises a cloud event center, a two-dimensional code generator, a mobile phone APP and an intelligent feeding system. The cloud event center stores all element information in a farm; the two-dimensional code generator uniquely identifies all the element information and dynamically generates two-dimensional code identifiers; the mobile phone APP is a program executed in a mobile terminal and establishes a virtual farm by scanning the two-dimensional code identifiers so as to implement intelligent management of the farm; and the intelligent feeding system controls intelligent feeding equipment in the farm according to feeding information of the mobile phone APP. In the present system and method, intelligent management of a farm is implemented, and comparative analysis management is carried out according to acquired data, so that the production costs are reduced, and the production efficiency is improved.

Description

Intelligent farm management system and method based on two-dimensional code task navigation Technical field

The invention relates to the technical field of intelligent farm management, in particular to an intelligent farm management system and method based on two-dimensional code task navigation.

Background technique

The fifth information technology revolution started in the 1960s, and its symbol is the popular application of electronic computers and the organic combination of computers and modern communication technologies. Internet and information management have entered various industries. In my country, the number of Internet users has reached 648 million, especially the mobile Internet is booming, with more than 500 million smart phone users. More and more netizens use smart phones to connect to the Internet. The Internet is no longer a trendy thing played by minorities. On the one hand, it has become more and more civilian and more convenient; on the other hand, it has penetrated into the real economy and has become an indispensable productivity for its value creation. In 2015, the country even proposed "Internet+" to encourage the integration of offline traditional enterprises and online Internet, which spawned a large number of 020 enterprises and applications. The construction scale of modern aquaculture technology is getting larger and larger, and more and more data need to be tested. Therefore, information management of farms is an inevitable trend.

The existing farm management software on the market mainly has the following deficiencies. First, the cumbersome software operation process and lack of humanized design are common problems of existing farm information management systems. The complicated operation of most software requires training of personnel, coupled with the high staff turnover on most farm data management systems Has created obstacles. Secondly, most software is designed using engineer thinking. Software designers have never participated in the management of pig farms. They know nothing about the needs of managers, and seek to complete the functions of software. Some software is designed for small farms. Complicated ERP process. In addition, most software lacks the function of logical inspection, and can not pre-warn and prevent some obvious logical errors, resulting in obvious errors similar to 120 litters, which has affected the statistical results. Finally, the main function of the pig farm information management system is to guide the production management and provide decision-making suggestions based on the collected basic data, but in fact, the existing farms and management systems often only play a role in the use of , The role of guiding decision-making is not great.

Summary of the invention

The technical problem to be solved by the present invention is to provide a farmyard intelligent management system and method based on the two-dimensional code task navigation based on the above-mentioned shortcomings of the prior art, so as to realize the intelligent management of the farm.

To solve the above technical problems, the technical solutions adopted by the present invention are: On the one hand, the present invention provides a farmyard intelligent management system based on QR code task navigation, including a cloud event center, QR code generator, and mobile APP And intelligent feeding system;

The cloud event center stores all the element information in the farm; all the elements in the farm include: employees, animals, materials and space;

The two-dimensional code generator uniquely identifies all element information data stored in the cloud event center, and dynamically generates a two-dimensional code identifier;

According to the different spatial distribution of different farms, the two-dimensional code identification is divided into two-dimensional code of column card, two-dimensional code of large hurdle card, two-dimensional code of hurdle card, two-dimensional code of dongshe card, two of pig farm card Dimension code, warehouse card two-dimensional code, decontamination card two-dimensional code, each two-dimensional code represents a unique spatial identification;

The mobile phone APP is a program executed on a mobile terminal, and a virtual farm is established by scanning a two-dimensional code identification, and the physical farm is intelligently managed through the virtual farm;

The intelligent feeding system controls the intelligent feeding equipment in the breeding farm according to the feeding information of the mobile phone APP, and feeds the animals in the breeding farm.

Preferably, the functions performed by the mobile phone APP specifically include:

(1) Scan the QR code identification of the pig farm card to obtain all the element information of the corresponding farm stored in the cloud event center;

(2) Establish virtual farms based on the obtained element information, including setting up breeding houses, breeding pens, employee management and intelligent feeding data;

(3) According to the nutritional demand model of pigs, the farm environmental parameters, feeding amount and feeding time and feeding amount are sent to the intelligent feeding system and uploaded to the cloud event center;

(4) Information management of the pigs on the pig farm, by scanning the corresponding QR code of the field card, according to the presence, status and breed of pigs recorded in the cloud event center to filter the pig information, or add the pig information;

(5) Information management of the sows on the farm, scan the QR code of the corresponding field card to search for the pre-viewed sow records, and query the sow details through the sow records, including breeding time, and Equipped with boar semen, reentry time, mating time, delivery details, weaning details and abortion time, or add sow information by adding functions;

(6) Daily operation records, the record data includes: breeding records, pregnancy test records, delivery records, weaning records, breeding pig dead panning records and hog dead panning records; the breeding records are entered with the boar pig essence information and the breeding date ; The pregnancy test record enters the inspection results, including reentry, miscarriage, empty pregnancy and pregnancy; the delivery record enters the delivery date and delivery indicators, including healthy pups, weak pups, deformities, stillbirths, mummies and birth weight ; The weaning record enters the weaning date, the number of weaning heads and the weaning weight; the breeding pig dead panning record enters the type and cause of the dead pan; the hog dead panning record enters the cause, stage, head number and weight of the dead pantograph;

(7) Statistics on pig farm data, the data to be counted include: inventory information and production information; the statistical results of the inventory information include: total number of sow inventory, empty, pregnancy, lactation, elimination and other sow heads and all Proportion, the number and proportion of sows in each parity, and the distribution of breeding pig houses; the statistical results of production information include: the number of sows bred, the number and the proportion of normal, estrus, abortion and empty parity sows Number of pigs, total litter size, key litter, weak litter, deformity, stillbirth, number of mummies and their proportion, litter average litter size, weaned sows, weaned piglet size, litter average weaning rate and litter average weaning ratio ;

(8) Generate summary report and work plan arrangement of the statistical data of the pig farm for information push;

On the other hand, the present invention provides an intelligent farm management method based on two-dimensional code task navigation, including the following steps:

Step 1. Store all the element information in the farm to the cloud event center, the cloud event center preprocesses the stored information, and then sends the preprocessed information to the QR code generator, which is dynamically generated by the QR code generator QR code identification of the farm;

Step 2. Scan the QR code identification through the mobile phone APP to obtain all the element information of the farm, and establish a virtual farm to realize online management of the farm. The specific methods are:

Step 2.1: Scan the QR code identification of the pig farm card to obtain all the element information of the corresponding farm stored in the cloud event center;

Step 2.2. Build a virtual breeding farm based on the obtained element information, including setting up breeding houses, breeding pens, employee management and intelligent feeding data;

Step 2.3: Send the farm environment parameters, feeding amount, feeding time and feeding amount to the intelligent feeding system, and upload to the cloud event center;

Step 2.4: Perform information management on the breeding pigs on the farm, scan the QR code of the corresponding field card, filter the breeding pig information according to the presence, status and breed of the breeding pig recorded in the cloud event center, or add the breeding pig information;

Step 2.5: Perform information management on the sows on the farm, scan the QR code of the corresponding field card to search for the pre-viewed sow records, and query the sow details through the sow records, including the breeding time, and Match boar, return time, breeding time, delivery details, weaning details and abortion time, or add sow information by adding functions;

Step 2.6. Daily operation records. The recorded data includes: breeding records, pregnancy test records, delivery records, weaning records, breeding pig dead panning records and hog dead panning records; the breeding records are entered with the boar pig sperm information and the breeding date ; The pregnancy test record enters the inspection results, including reentry, miscarriage, empty pregnancy and pregnancy; the delivery record enters the delivery date and delivery indicators, including healthy pups, weak pups, deformities, stillbirths, mummies and birth weight ; The weaning record enters the weaning date, the number of weaning heads and the weaning weight; the breeding pig dead panning record enters the type and cause of the dead pan; the hog dead panning record enters the cause, stage, head number and weight of the dead pantograph;

Step 2.7. Statistics on pig farm data. The data to be counted include: inventory information and production information; the statistical results of the inventory information include: total number of sow inventory, empty, pregnancy, lactation, elimination and other sow heads and all Proportion, the number and proportion of sows in each parity, and the distribution of breeding pig houses; the statistical results of production information include: the number of sows bred, the number and the proportion of normal, estrus, abortion and empty parity sows Number of pigs, total litter size, key litter, weak litter, deformity, stillbirth, number of mummies and their proportion, litter average litter size, weaned sows, weaned piglet size, litter average weaning rate and litter average weaning ratio ;

Step 2.8. Push the statistics report of the farm to generate a summary report and work plan to push the information to the cloud event center and the farm app of the farm management staff;

Step 3. The intelligent feeding system controls the intelligent feeding equipment in the farm according to the feeding information of the mobile phone APP, feeds the animals in the farm, and realizes the intelligent control of the farm.

The beneficial effect produced by adopting the above technical solution lies in: an intelligent farm management system and method based on a two-dimensional code task navigation provided by the present invention can accurately calculate the production of each stage in the pig farm through the dynamically generated two-dimensional code identification The number of sows can automatically produce electronic reports and analyze the reports. Avoid errors or mistakes in manual statistics and entry, and reduce the work intensity of managers. For example, the total number of sows, empty arms, pregnancy, lactation, elimination and other sow heads and their proportions are convenient for statistical analysis. At the same time, the farm manager can be clearly informed of the tasks that need to be handled daily. Such as breeding, delivery, and anti-epidemic injections. It is convenient for comparative analysis and management based on the collected data, timely analysis of the reasons, reducing production costs and improving production efficiency.

BRIEF DESCRIPTION

1 is a structural block diagram of an intelligent farm management system based on two-dimensional code task navigation provided by an embodiment of the present invention;

2 is a schematic diagram of an intelligent farm management system based on two-dimensional code task navigation provided by an embodiment of the present invention;

FIG. 3 is a schematic diagram of a two-dimensional code identifier provided by an embodiment of the present invention, wherein (a) is a two-dimensional code for a field card, (b) is a two-dimensional code for a large field card, and (c) is a two-dimensional code for the field bar card , (D) is the two-dimensional code of the decontamination card, (e) is the two-dimensional code of the pig farm card, (f) is the two-dimensional code of the warehouse card, (g) is the two-dimensional code of the building house card;

4 is a flowchart of an intelligent farm management method based on two-dimensional code task navigation provided by an embodiment of the present invention.

detailed description

The specific implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not used to limit the scope of the present invention.

This embodiment takes a pig farm as an example, and uses the farmyard intelligent management system and method based on the two-dimensional code task navigation of the present invention to intelligently manage the pig farm.

An intelligent farm management system based on two-dimensional code task navigation, as shown in Figures 1 and 2, includes a cloud event center, two-dimensional code generator, mobile phone APP, and intelligent feeding system;

The cloud event center stores all the element information in the farm; all the elements in the farm include: employees, animals, materials and space;

The two-dimensional code generator uniquely identifies all element information data stored in the cloud event center, and dynamically generates a two-dimensional code identifier;

According to the different spatial distribution of different farms, the two-dimensional code identification is divided into the two-dimensional code of the column card, the two-dimensional code of the large column card, the two-dimensional code of the column card, and the two-dimensional code of the building card Code, pig farm card QR code, warehouse card QR code, decontamination card QR code, each QR code represents a unique spatial identification;

In this embodiment, the farm corresponds to a unique pig farm card, there are 10 pig houses, corresponding to 10 pig house card QR codes; one pig house has 100 positioning bars (sows are stored, one for each bar) ), corresponding to 100 bar code QR codes, and 20 large bars (for large pigs in storage, about 20 pigs in a bar), there are 20 large bar code QR codes; and so on.

The mobile phone APP is a program executed on a mobile terminal, and is used to perform the following functions:

(1) Scan the QR code identification of the pig farm card to obtain all the element information of the corresponding farm stored in the cloud event center;

(2) Establish virtual farms based on the obtained element information, including setting up breeding houses, breeding pens, employee management and intelligent feeding data;

(3) According to the nutritional demand model of pigs, the farm environmental parameters, feeding amount and feeding time and feeding amount are sent to the intelligent feeding system and uploaded to the cloud event center;

(4) Information management of the pigs on the pig farm, by scanning the corresponding QR code of the field card, according to the presence, status and breed of pigs recorded in the cloud event center to filter the pig information, or add the pig information;

In this embodiment, when a reserve sow enters the positioning bar, scan the QR code of the corresponding field card; scan the QR code of the field card again to indicate the turning bar (leave the positioning bar and enter the delivery room), and then scan the delivery room The QR code indicates that the sow entered the delivery room; scan the QR code of the delivery room again to indicate that the sow left the delivery room, and so on.

(5) Information management of sows on the farm, search the pre-viewed sow records by scanning the QR code of the field card, and query the sow details through the sow records, including the breeding time and the male Pig semen, return time, breeding time, delivery details, weaning details and abortion time, or add sow information by adding functions;

(6) Daily operation records, the record data includes: breeding records, pregnancy test records, delivery records, weaning records, breeding pig dead panning records and hog dead panning records; the breeding records are entered with the boar pig essence information and the breeding date ; The pregnancy test record enters the inspection results, including reentry, miscarriage, empty pregnancy and pregnancy; the delivery record enters the delivery date and delivery indicators, including healthy pups, weak pups, deformities, stillbirths, mummies and birth weight ; The weaning record enters the weaning date, the number of weaning heads and the weaning weight; the breeding pig dead panning record enters the type and cause of the dead pan; the hog dead panning record enters the cause, stage, head number and weight of the dead pantograph;

(7) Statistics on pig farm data, the data to be counted include: inventory information and production information; the statistical results of the inventory information include: total number of sow inventory, empty, pregnancy, lactation, elimination and other sow heads and all Proportion, the number and proportion of sows in each parity, and the distribution of breeding pig houses; the statistical results of production information include: the number of sows bred, the number and the proportion of normal, estrus, abortion and empty parity sows Number of pigs, total litter size, key litter, weak litter, deformity, stillbirth, number of mummies and their proportion, litter average litter size, weaned sows, weaned piglet size, litter average weaning rate and litter average weaning ratio ;

(8) Generate summary report and work plan arrangement of the statistical data of the pig farm for information push;

The intelligent feeding system controls the intelligent feeding equipment in the breeding farm according to the feeding information of the mobile phone APP, and feeds the animals in the breeding farm.

An intelligent farm management method based on two-dimensional code task navigation, as shown in Figure 4, includes the following steps:

Step 1. Store all the element information in the farm to the cloud event center, the cloud event center preprocesses the stored information, and then sends the preprocessed information to the QR code generator, which is dynamically generated by the QR code generator QR code identification of the farm;

Step 2. Scan the QR code identification through the mobile phone APP to obtain all the element information of the farm, and establish a virtual farm to realize online management of the farm. The specific methods are:

Step 2.1: Scan the QR code identification of the pig farm card to obtain all the element information of the corresponding farm stored in the cloud event center;

Step 2.2. Build a virtual breeding farm based on the obtained element information, including setting up breeding houses, breeding pens, employee management and intelligent feeding data;

Step 2.3: Send the farm environment parameters, feeding amount, feeding time and feeding amount to the intelligent feeding system, and upload to the cloud event center;

Step 2.4: Perform information management on the breeding pigs on the farm, scan the QR code of the corresponding field card, filter the breeding pig information according to the presence, status and breed of the breeding pig recorded in the cloud event center, or add the breeding pig information;

Step 2.5: Perform information management on the sows on the farm, scan the QR code of the corresponding field card to search for the pre-viewed sow records, and query the sow details through the sow records, including the breeding time, and Match boar, return time, breeding time, delivery details, weaning details and abortion time, or add sow information by adding functions;

Step 2.6. Daily operation records. The recorded data includes: breeding records, pregnancy test records, delivery records, weaning records, breeding pig dead panning records and hog dead panning records; the breeding records are entered with the boar pig sperm information and the breeding date ; The pregnancy test record enters the inspection results, including reentry, miscarriage, empty pregnancy and pregnancy; the delivery record enters the delivery date and delivery indicators, including healthy pups, weak pups, deformities, stillbirths, mummies and birth weight ; The weaning record enters the weaning date, the number of weaning heads and the weaning weight; the breeding pig dead panning record enters the type and cause of the dead pan; the hog dead panning record enters the cause, stage, head number and weight of the dead pantograph;

Step 2.7. Statistics on pig farm data. The data to be counted include: inventory information and production information; the statistical results of the inventory information include: total number of sow inventory, empty, pregnancy, lactation, elimination and other sow heads and all Proportion, the number and proportion of sows in each parity, and the distribution of breeding pig houses; the statistical results of production information include: the number of sows bred, the number and the proportion of normal, estrus, abortion and empty parity sows Number of pigs, total litter size, key litter, weak litter, deformity, stillbirth, number of mummies and their proportion ;

Step 2.8. Push the statistics report of the farm to generate a summary report and work plan to push the information to the cloud event center and the farm app of the farm management staff;

Step 3. The intelligent feeding system controls the intelligent feeding equipment in the farm according to the feeding information of the mobile phone APP, feeds the animals in the farm, and realizes the intelligent control of the farm.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still Modifications to the technical solutions described in the foregoing embodiments, or equivalent replacements to some or all of the technical features therein; and these modifications or replacements do not deviate from the essence of the corresponding technical solutions to the scope defined by the claims of the present invention.

Claims (4)

1. A farm management intelligent management system based on QR code task navigation, which is characterized by including a cloud event center, QR code generator, mobile phone APP and intelligent feeding system;

   The cloud event center stores all the element information in the farm; all the elements in the farm include: employees, animals, materials and space;

   The two-dimensional code generator uniquely identifies all element information data stored in the cloud event center, and dynamically generates a two-dimensional code identifier;

   According to the different spatial distribution of different farms, the two-dimensional code identification is divided into two-dimensional code of column card, two-dimensional code of large hurdle card, two-dimensional code of hurdle card, two-dimensional code of dongshe card, two of pig farm card Dimension code, QR code of Kukuka, QR code of decontamination card, each QR code represents a unique spatial identifier;

   The mobile phone APP is a program executed on a mobile terminal, and a virtual farm is established by scanning a two-dimensional code identification, and the physical farm is intelligently managed through the virtual farm;

   The intelligent feeding system controls the intelligent feeding equipment in the breeding farm according to the feeding information of the mobile phone APP, and feeds the animals in the breeding farm.
2. The farmyard intelligent management system based on two-dimensional code task navigation according to claim 1, characterized in that the functions performed by the mobile phone APP specifically include:

   (1) Scan the QR code identification of the pig farm card to obtain all the element information of the corresponding farm stored in the cloud event center;

   (2) Establish virtual farms based on the obtained element information, including setting up breeding houses, breeding pens, employee management and intelligent feeding data;

   (3) According to the nutritional demand model of pigs, the farm environmental parameters, feeding amount and feeding time and feeding amount are sent to the intelligent feeding system and uploaded to the cloud event center;

   (4) Information management of the pigs on the pig farm, by scanning the corresponding QR code of the field card, according to the presence, status and breed of pigs recorded in the cloud event center to filter the pig information, or add the pig information;

   (5) Information management of the sows on the farm, scan the QR code of the corresponding field card to search for the pre-viewed sow records, and query the sow details through the sow records, including breeding time, and Equipped with boar semen, reentry time, mating time, delivery details, weaning details and abortion time, or add sow information by adding functions;

   (6) Daily operation records, the record data includes: breeding records, pregnancy test records, delivery records, weaning records, dead pig panning records, and hog dead panning records; the breeding records are entered with the boar pig essence information and the breeding date ; The pregnancy test record enters the inspection results, including reentry, miscarriage, empty pregnancy and pregnancy; the delivery record enters the delivery date and delivery indicators, including healthy pups, weak pups, deformities, stillbirths, mummies and birth weight ; The weaning record enters the weaning date, the number of weaning heads and the weaning weight; the breeding pig dead panning record enters the type and cause of the dead pan; the hog dead panning record enters the cause, stage, head number and weight of the dead pantograph;

   (7) Statistics on pig farm data, the data to be counted include: inventory information and production information; the statistical results of the inventory information include: total number of sow inventory, empty, pregnancy, lactation, elimination and other sow heads and all Proportion, the number and proportion of sows in each parity, and the distribution of breeding pig houses; the statistical results of production information include: the number of sows bred, the number and proportion of normal, estrus, miscarriage and empty parity sows Number of pigs, total litter size, key litter, weak litter, deformity, stillbirth, number of mummies and their proportion ;

   (8) Push the statistics report of the farm to generate a summary report and work plan arrangement for information push.
3. The method for managing a farm intelligent management system based on a two-dimensional code task navigation according to claim 1 includes the following steps:

   Step 1. Store all the element information in the farm to the cloud event center, the cloud event center preprocesses the stored information, and then sends the preprocessed information to the QR code generator, which is dynamically generated by the QR code generator QR code identification of the farm;

   Step 2. Scan the QR code identification through the mobile phone APP to obtain all the element information of the farm, and establish a virtual farm to realize online management of the farm;

   Step 3. The intelligent feeding system controls the intelligent feeding equipment in the farm according to the feeding information of the mobile phone APP, feeds the animals in the farm, and realizes the intelligent control of the farm.
4. An intelligent farm management method based on two-dimensional code task navigation according to claim 3, wherein the specific method of step 2 is:

   Step 2.1: Scan the QR code identification of the pig farm card to obtain all the element information of the corresponding farm stored in the cloud event center;

   Step 2.2. Build a virtual breeding farm based on the obtained element information, including setting up breeding houses, breeding pens, employee management and intelligent feeding data;

   Step 2.3: Send the farm environment parameters, feeding amount, feeding time and feeding amount to the intelligent feeding system, and upload to the cloud event center;

   Step 2.4: Perform information management on the breeding pigs on the farm, scan the QR code of the corresponding field card, filter the breeding pig information according to the presence, status and breed of the breeding pig recorded in the cloud event center, or add the breeding pig information;

   Step 2.5: Perform information management on the sows on the farm, scan the QR code of the corresponding field card to search for the pre-viewed sow records, and query the sow details through the sow records, including the breeding time, and Match boar, return time, breeding time, delivery details, weaning details and abortion time, or add sow information by adding functions;

   Step 2.6. Daily operation records. The recorded data includes: breeding records, pregnancy test records, delivery records, weaning records, breeding pig dead panning records and hog dead panning records; the breeding records are entered with the boar pig sperm information and the breeding date ; The pregnancy test record enters the inspection results, including estrus, miscarriage, empty pregnancy and pregnancy; the delivery record enters the delivery date and delivery indicators, including healthy pups, weak pups, deformities, stillbirths, mummies and birth weight The weaning record includes the weaning date, the number of weaning nipples and the weaning weight; the breeding pig's dead panning record enters the type and reason of the dead pan; the hog dead panning record enters the cause, stage, head number and weight of the dead panning;

   Step 2.7. Statistics on pig farm data. The data to be counted include: inventory information and production information; the statistical results of the inventory information include: total number of sow inventory, empty, pregnancy, lactation, elimination and other sow heads and all Proportion, the number and proportion of sows in each parity, and the distribution of breeding pig houses; the statistical results of production information include: the number of sows bred, the number and proportion of normal, estrus, miscarriage and empty parity sows Number of pigs, total litter size, key litter, weak litter, deformity, stillbirth, number of mummies and their proportion, litter average litter size, weaned sows, weaned piglet size, litter average weaned rate and litter average weaning ratio ;

   Step 2.8: Generate a summary report of the statistical data of the farm and work plan arrangements to push the information to the cloud event center and the mobile app of the farm management personnel.

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