[go: up one dir, main page]

CN117933570B - Method and system for monitoring and managing real-time consumption of feed - Google Patents

Method and system for monitoring and managing real-time consumption of feed Download PDF

Info

Publication number
CN117933570B
CN117933570B CN202410315694.1A CN202410315694A CN117933570B CN 117933570 B CN117933570 B CN 117933570B CN 202410315694 A CN202410315694 A CN 202410315694A CN 117933570 B CN117933570 B CN 117933570B
Authority
CN
China
Prior art keywords
daily
consumption
feed
feeding
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410315694.1A
Other languages
Chinese (zh)
Other versions
CN117933570A (en
Inventor
周波
何文标
张文鹏
柳文渊
王军
彭郭彪
汪源
杨泽波
王静
汪奇林
庄丽军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wens Foodstuff Group Co Ltd
Original Assignee
Wens Foodstuff Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wens Foodstuff Group Co Ltd filed Critical Wens Foodstuff Group Co Ltd
Priority to CN202410315694.1A priority Critical patent/CN117933570B/en
Publication of CN117933570A publication Critical patent/CN117933570A/en
Application granted granted Critical
Publication of CN117933570B publication Critical patent/CN117933570B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K5/00Feeding devices for stock or game ; Feeding wagons; Feeding stacks
    • A01K5/02Automatic devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/05Agriculture

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Agronomy & Crop Science (AREA)
  • Environmental Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Animal Husbandry (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Accounting & Taxation (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Health & Medical Sciences (AREA)
  • Mining & Mineral Resources (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Computing Systems (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Educational Administration (AREA)
  • Birds (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a method and a system for monitoring and managing feed consumption in real time, wherein the method comprises the following steps: the method comprises the steps of obtaining feed discharge amount in a given period, and calibrating discharge speed to obtain a discharge speed calibration value; monitoring the material beating time length in real time in the discharging process, and transmitting the material beating time length data to a digital material quantity monitoring platform; and calculating daily consumption by the digital material quantity monitoring platform according to the material beating time length and the discharging speed calibration value, and generating a daily consumption condition report. According to the invention, the feeding condition of the feed is monitored in real time by adopting the Internet of things equipment, the real-time performance, the accuracy and the credibility of the data are improved, and a powerful support is provided for the fine management in the cultivation process. According to the invention, the intelligent ammeter records the energy consumption so as to correct the abnormal data of daily consumption, and the reliability of the data is improved. The invention also predicts the available days of the residual materials in the bin according to the previous material receiving weight and the daily statement of the material consumption condition, automatically generates a feed receiving plan, reduces the manual statistics and improves the working efficiency.

Description

Method and system for monitoring and managing real-time consumption of feed
Technical Field
The invention relates to the technical field of cultivation, in particular to a method and a system for monitoring and managing real-time consumption of feed.
Background
In the farming industry, the "company+farmer (family farm)" mode is widely adopted. However, due to the reasons of scattered farmers, non-uniform pig house construction standards, different feed equipment configurations and the like, the accurate grasp of the feed feeding condition is difficult.
The traditional feed monitoring mode mainly depends on feeding managers and farmers to fill, is poor in accuracy and reliability, and cannot meet the requirements of modern breeding industry on fine management. Therefore, a system and method capable of precisely grasping the feeding condition of the feed are urgently needed to solve this problem.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method and a system for monitoring and managing the real-time consumption of feed, which are used for solving the problems that the traditional feed monitoring mode mainly depends on the feeding manager and the farmer to fill, and the accuracy and the reliability are poor.
In order to solve the above problems, in a first aspect, the present invention provides a method for monitoring and managing feed consumption in real time, including:
The method comprises the steps of obtaining feed discharge amount in a given period, and calibrating discharge speed to obtain a discharge speed calibration value;
monitoring the material beating time length in real time in the discharging process, and transmitting the material beating time length data to a digital material quantity monitoring platform;
and calculating daily consumption by the digital material quantity monitoring platform according to the material beating time length and the discharging speed calibration value, and generating a daily consumption condition report.
Preferably, the method further comprises:
(1) And calculating the head average daily consumption of the cultured animals according to the daily statement of the consumption condition, and if the calculated value of the head average daily consumption exceeds the preset standard range value of the head average daily consumption, generating abnormal early warning information of the daily consumption and sending the abnormal early warning information to the terminal equipment.
(2) Counting feeding habit parameters of the cultured animals in the feeding process, and if the statistical value of the feeding habit parameters exceeds a preset feeding habit parameter standard range value, generating feeding habit abnormal early warning information and sending the feeding habit abnormal early warning information to the terminal equipment; wherein, the feeding habit parameters comprise the feeding meal number and the feeding feed amount per meal.
(3) And counting the feeding time of the cultured animals in the feeding process, and if the feeding time is not within the preset working time period, generating non-working time feeding early warning information and sending the non-working time feeding early warning information to the terminal equipment.
Preferably, the method further comprises:
the method for automatically generating the feed receiving plan comprises the following steps of analyzing and predicting available days of the residual materials in the bin according to the weight of the last material receiving and the daily statement of the material consumption condition, and specifically comprises the following steps:
Calculating the residual materials in the bin according to the weight of the last material receiving and a daily statement of the material consumption condition from the last material receiving date to the current date;
Calculating the available days of the residual materials in the bin according to the residual materials in the bin, the number of columns stored on the same day and a preset average daily consumption standard value;
Calculating a predicted material receiving date according to the daily report generation date of the material consumption condition and the available days of the residual materials in the bin, and automatically summarizing and generating a feed receiving plan according to the predicted material receiving date and the predicted material receiving quantity; the expected material receiving date=material consumption condition daily report generation date+available days of rest materials in the bin; the collar amount = the tower can be expected to hold the feed weight.
Preferably, the obtaining the feed discharge amount in the given period of time, and calibrating the discharge speed to obtain a discharge speed calibration value specifically includes:
Recording discharge time lengths through a smart electric meter arranged on a charging auger motor, weighing discharge amounts corresponding to different discharge time lengths on site, and recording discharge amount data corresponding to a plurality of groups of discharge time lengths;
Calculating a discharge speed calibration value by the following formula:
Discharge speed calibration value =
Wherein X n represents the discharge time period of the nth group, and Y n represents the discharge amount of the nth group.
Preferably, the method further comprises:
in the calibration process of the discharging speed, the energy consumption is recorded through the reading of the intelligent ammeter, and the relation between the energy consumption and the discharging amount is obtained;
And acquiring daily energy consumption through the intelligent electric meter in the discharging process, and carrying out data anomaly judgment on the daily material consumption in the daily material consumption condition report by combining the relation between the energy consumption and the discharging quantity.
In a second aspect, the present invention provides a real-time feed consumption monitoring and management system, comprising:
The intelligent ammeter is arranged on the charging auger motor and is used for monitoring charging time in real time in the discharging process and transmitting charging time data to the digital charging amount monitoring platform;
The digital material quantity monitoring platform is connected with the intelligent electric meter and is used for calculating daily material consumption according to the material beating time length and a pre-calculated discharging speed calibration value to generate a daily material consumption condition report; the discharging speed calibration value is obtained by obtaining the discharging amount of the feed in a given period and calibrating the discharging speed.
Preferably, the digital material quantity monitoring platform comprises a data processing module, and the data processing module comprises:
The daily statement generation unit is used for calculating daily material consumption according to the material beating time length and the pre-calculated discharging speed calibration value and generating a daily statement of material consumption condition;
The abnormal early warning unit is used for calculating the daily consumption of the head average of the cultured animals according to the daily statement of the consumption condition, and if the calculated value of the daily consumption of the head average exceeds the preset standard range value of the daily consumption of the head average, the daily consumption abnormal early warning information is generated and sent to the terminal equipment; counting feeding habit parameters of the cultured animals in the feeding process, and if the statistical value of the feeding habit parameters exceeds a preset feeding habit parameter standard range value, generating feeding habit abnormal early warning information and sending the feeding habit abnormal early warning information to the terminal equipment; wherein the feeding habit parameters comprise the number of feeding meals and the feeding feed amount per meal; counting the feeding time of the cultured animals in the feeding process, and if the feeding time is not within a preset working time period, generating non-working time feeding early warning information and sending the non-working time feeding early warning information to the terminal equipment; the terminal equipment is in communication connection with the digital material quantity monitoring platform.
Preferably, the data processing module further comprises:
and the analysis and prediction unit is used for analyzing and predicting available days of the residual materials in the bin according to the previous material receiving weight and the daily statement of the material consumption condition and automatically generating a feed receiving plan.
The beneficial effects of adopting the embodiment are as follows: according to the method and the system for monitoring and managing the real-time consumption of the feed, provided by the invention, the feeding condition of the feed is monitored in real time through the Internet of things equipment, the real-time performance, accuracy and credibility of data are improved, and powerful support is provided for the fine management in the cultivation process. According to the invention, the intelligent ammeter records the energy consumption so as to correct the abnormal data of daily consumption, and the reliability of the data is improved. The invention also predicts the available days of the residual materials in the bin according to the previous material receiving weight and the daily statement of the material consumption condition, automatically generates a feed receiving plan, reduces the manual statistics and improves the working efficiency.
Drawings
FIG. 1 is a flow chart of a method for monitoring and managing the real-time consumption of feed;
FIG. 2 is an interface screenshot of a daily statement of material consumption conditions provided by the invention;
FIG. 3 is another flow chart of the method for monitoring and managing real-time consumption of feed provided by the invention;
FIG. 4 is a block diagram of a feed real-time consumption monitoring and management system provided by the invention;
FIG. 5 is a block diagram illustrating a data processing module according to the present invention.
Detailed Description
The following detailed description of preferred embodiments of the application is made in connection with the accompanying drawings, which form a part hereof, and together with the description of the embodiments of the application, are used to explain the principles of the application and are not intended to limit the scope of the application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The traditional feed monitoring mode mainly depends on feeding managers and farmers to fill, is poor in accuracy and reliability, and cannot meet the requirements of modern breeding industry on fine management.
In view of the above, the invention provides a method and a system for monitoring and managing the real-time consumption of feed, which adopts the intelligent ammeter of the Internet of things to monitor the feeding condition of the feed in real time, and reflects the actual discharging condition more accurately through the discharging speed calibration value, thereby improving the accuracy and the credibility of data. The following description and description will be made with reference to various embodiments.
Fig. 1 is a flow chart of a method for monitoring and managing feed consumption in real time. As shown in fig. 1, the method for monitoring and managing the real-time consumption of the feed comprises the following steps:
And 110, acquiring the feed discharge amount in a given period, and calibrating the discharge speed to obtain a discharge speed calibration value.
Specifically, the discharging duration is recorded through an intelligent ammeter arranged on a charging auger motor. Wherein, the beating auger motor comprises motor and transmission system (auger) for carry the fodder in the charging tower to the region of feeding. The auger is commonly called as a screw conveyor and is a common power conveying tool.
And then, carrying out on-site weighing on the discharge amounts corresponding to different discharge time lengths, and recording the discharge amount data corresponding to a plurality of groups of discharge time lengths. In this embodiment, on-site weighing of three groups of discharge amounts of 30 seconds, 40 seconds and 50 seconds is performed, discharge amount data corresponding to 9 groups of discharge time periods is recorded, a discharge speed calibration value is calculated according to the feed discharge amount in a given period, and the discharge speed calibration value is recorded on a digital feed amount monitoring platform.
In this embodiment, the discharge rate calibration value is calculated by the following formula:
Discharge speed calibration value =
Wherein X n represents the discharge time period of the nth group, and Y n represents the discharge amount of the nth group.
Furthermore, in the calibration process of the discharging speed, the energy consumption can be recorded through the reading of the intelligent ammeter, and the relation between the energy consumption and the discharging amount is obtained.
Step 120, monitoring the material beating time length in real time in the discharging process, and transmitting the material beating time length data to a digital material quantity monitoring platform;
Specifically, in the process of discharging of the material tower, the material beating time length is monitored in real time through the intelligent electric meter, and the intelligent electric meter transmits the material beating time length to the digital material quantity monitoring platform in real time.
And 130, calculating daily consumption by the digital material quantity monitoring platform according to the material beating time length and the material discharging speed calibration value, and generating a daily consumption condition report.
Specifically, the digital material quantity monitoring platform processes and analyzes the collected data, and calculates daily material consumption according to the material beating time length and the discharging speed calibration value. And then, generating a daily statement of the consumption condition according to the data of the feeding date, the day age of the cultured animals, the stock number, the feed variety, the feeding time, the daily consumption and the like recorded by the digital material quantity monitoring platform. FIG. 2 is an interface screenshot of a daily statement of consumption conditions provided by the invention.
In the discharging process, the daily consumption of the daily statement of the consumption condition can be judged by acquiring daily energy consumption through the intelligent ammeter and combining the relation between the energy consumption and the discharging quantity. Correcting the daily consumption to eliminate special conditions such as idling, so as to improve the accuracy of the calculated daily consumption.
According to the method for monitoring and managing the real-time consumption of the feed, provided by the invention, the feeding condition of the feed is monitored in real time through the Internet of things equipment, the real-time performance, accuracy and credibility of data are improved, and powerful support is provided for the fine management in the cultivation process. Adopt thing networking smart electric meter real-time supervision fodder condition of feeding, reflected actual ejection of compact condition more accurately through ejection of compact speed calibration value, improved the accuracy and the credibility of data. According to the invention, the intelligent ammeter records the energy consumption so as to correct the abnormal data of daily consumption, and the reliability of the data is improved.
The invention can also predict the available days of the residual materials in the bin according to the previous material receiving weight and the daily statement of the material consumption condition, automatically generate a feed receiving plan, reduce the artificial statistics and improve the working efficiency.
In a preferred embodiment of the present invention, referring to fig. 3, the method for monitoring and managing real-time consumption of feed provided by the present invention further includes:
and 140, calculating the head average daily consumption of the cultured animals according to the daily statement of the consumption condition, and if the calculated value of the head average daily consumption exceeds the preset standard range value of the head average daily consumption, generating abnormal early warning information of the daily consumption and sending the abnormal early warning information to the terminal equipment.
Specifically, taking pig farm cultivation as an example, first, a standard range value of average daily feed consumption of pigs corresponding to the age of days is preset.
And then, according to the daily statement of the material consumption condition, obtaining the daily material consumption of the pig group. Next, the daily feed consumption of the pigs was calculated from the daily feed consumption of the herd of pigs and the number of pigs.
And finally, the digital material quantity monitoring platform judges whether the statistical value of the daily material consumption exceeds (is larger than or smaller than) a preset daily material consumption standard range value, and if so, the digital material quantity monitoring platform generates daily material consumption abnormality early warning information and sends the daily material consumption abnormality early warning information to the terminal equipment. In this embodiment, the terminal device is in communication connection with the digital material amount monitoring platform, and the terminal device may be an electronic device such as a mobile phone, a computer, a PAD, or the like, which is not particularly limited in the present invention. In this embodiment, the digital material quantity monitoring platform may send the daily material consumption abnormality pre-warning information to the terminal device of the cultivation personnel, so as to implement the daily material consumption abnormality pre-warning function. After receiving the daily consumption abnormality early warning information, the breeder intervenes and adjusts the related discharging equipment in time so as to reduce loss.
The feed real-time consumption monitoring and managing method provided by the invention further comprises the following steps: counting feeding habit parameters of the cultured animals in the feeding process, and if the statistical value of the feeding habit parameters exceeds a preset feeding habit parameter standard range value, generating feeding habit abnormal early warning information and sending the feeding habit abnormal early warning information to the terminal equipment; wherein, the feeding habit parameters comprise the feeding meal number and the feeding feed amount per meal.
And counting the feeding time of the cultured animals in the feeding process, and if the feeding time is not within the preset working time period, generating non-working time feeding early warning information and sending the non-working time feeding early warning information to the terminal equipment. In this embodiment, the preset working period may be an optimal feeding period of the cultured animal obtained according to the historical feeding data.
In a preferred embodiment of the present invention, referring to fig. 3, the method for monitoring and managing real-time consumption of feed provided by the present invention further includes:
And 150, analyzing and predicting available days of the residual materials in the bin according to the weight of the last material receiving and the daily statement of the material consumption condition, and automatically generating a feed receiving plan.
Specifically, firstly, calculating the residual materials in the bin according to the weight of the last material receiving and a daily statement of the material consumption condition from the last material receiving date to the current date. Residue in bin = sum of last material receiving weight-daily material beating quantity.
Then, calculating the available days of the residual materials in the bin according to the residual materials in the bin, the number of columns stored on the same day and a preset average daily material consumption standard value; available days of residue in bin = residue in bin(The daily consumption standard value of the head is x the daily stock number).
Finally, calculating an expected material receiving date according to the daily statement generation date of the material consumption condition and the available days of the residual materials in the bin, and automatically summarizing and generating a feed receiving plan according to the expected material receiving date and the expected material receiving quantity; the expected material receiving date=material consumption condition daily report generation date+available days of rest materials in the bin; the collar amount = the tower can be expected to hold the feed weight.
Fig. 4 is a block diagram of a system for monitoring and managing real-time consumption of fodder, and referring to fig. 4, the system for monitoring and managing real-time consumption of fodder at least includes:
the intelligent ammeter 1 is arranged on the material beating auger motor and is used for monitoring the material beating time length in real time in the discharging process and transmitting the material beating time length data to the digital material beating amount monitoring platform 2;
the digital material quantity monitoring platform 2 is connected with the intelligent ammeter 1 and is used for calculating daily material consumption according to the material beating time length and a pre-calculated discharging speed calibration value to generate a daily material consumption condition report; the discharging speed calibration value is obtained by obtaining the discharging amount of the feed in a given period and calibrating the discharging speed.
Referring to fig. 4, the real-time feed consumption monitoring and management system further comprises a feed packing auger motor 4 and a feed tower 5. Wherein, the material beating auger motor comprises motor and transmission system (auger), and material beating auger motor 4 is connected with material tower 5. The threshing auger motor 4 is used for conveying the feed in the feed tower to the feeding area. The tower 5 is used for storing feed. The intelligent ammeter 1 is arranged at the switch end of the material beating auger motor 4.
It will be understood that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
The feed real-time consumption monitoring and managing system provided by the invention utilizes the intelligent ammeter 1 and the digital feed amount monitoring platform 2 to monitor and manage the feed real-time consumption, and because the feed real-time consumption monitoring and managing scheme is described in detail in the embodiment of the method, the embodiment is not repeated here.
According to the feed real-time consumption monitoring and managing system provided by the invention, the feeding condition of the feed is monitored in real time through the intelligent electric meter of the Internet of things and the digital feed monitoring platform, the real-time property, accuracy and credibility of data are improved, and powerful support is provided for fine management in the cultivation process.
In a preferred embodiment of the present invention, the digital material amount monitoring platform 2 includes a data processing module 3, fig. 5 is a block diagram of the data processing module provided in the present invention, and referring to fig. 5, the data processing module 3 includes:
A daily statement generating unit 31 for calculating daily material consumption according to the material beating time length and the pre-calculated discharging speed calibration value, and generating a daily statement of material consumption condition;
The abnormality pre-warning unit 32 is configured to calculate a daily consumption of the cultured animal according to the daily statement of consumption conditions, and if the calculated value of the daily consumption exceeds a preset daily consumption standard range value, generate daily consumption abnormality pre-warning information and send the daily consumption abnormality pre-warning information to the terminal device; counting feeding habit parameters of the cultured animals in the feeding process, and if the statistical value of the feeding habit parameters exceeds a preset feeding habit parameter standard range value, generating feeding habit abnormal early warning information and sending the feeding habit abnormal early warning information to the terminal equipment; wherein, the feeding habit parameters comprise the feeding meal number and the feeding feed amount per meal. And counting the feeding time of the cultured animals in the feeding process, and if the feeding time is not within the preset working time period, generating non-working time feeding early warning information and sending the non-working time feeding early warning information to the terminal equipment. The terminal equipment is in communication connection with the digital material quantity monitoring platform.
And the analysis and prediction unit 33 is used for automatically generating a feed receiving plan according to the last material receiving weight and the daily statement analysis and prediction of the available days of the residual materials in the bin.
According to the invention, the available days of the residual materials in the bin are predicted according to the previous material receiving weight and the daily statement of the material consumption condition, the feed receiving plan is automatically generated, the manual statistics are reduced, and the working efficiency is improved. The invention also records the energy consumption through the intelligent ammeter so as to correct the abnormal data of daily consumption and improve the reliability of the data.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (4)

1. The real-time feed consumption monitoring and managing method is characterized by comprising the following steps of:
The method comprises the steps of obtaining feed discharge amount in a given period, and calibrating discharge speed to obtain a discharge speed calibration value;
the method comprises the steps of obtaining the feed discharge amount in a given period, calibrating the discharge speed to obtain a discharge speed calibration value, and specifically comprises the following steps:
Recording discharge time lengths through a smart electric meter arranged on a charging auger motor, weighing discharge amounts corresponding to different discharge time lengths on site, and recording discharge amount data corresponding to a plurality of groups of discharge time lengths;
Calculating a discharge speed calibration value by the following formula:
Discharge speed calibration value =
Wherein X n represents the discharge time length of the nth group, and Y n represents the discharge amount of the nth group;
monitoring the material beating time length in real time in the discharging process, and transmitting the material beating time length data to a digital material quantity monitoring platform;
The digital material quantity monitoring platform calculates daily material consumption according to the material beating time length and the discharging speed calibration value, and generates a daily material consumption condition report;
in the calibration process of the discharging speed, the energy consumption is recorded through the reading of the intelligent ammeter, and the relation between the energy consumption and the discharging amount is obtained;
Acquiring daily energy consumption through an intelligent ammeter in the discharging process, and carrying out data anomaly judgment on daily material consumption in a daily material consumption condition report by combining the relation between the energy consumption and the discharging quantity;
calculating the average daily consumption of the cultured animals according to the daily statement of the consumption condition, and if the calculated value of the average daily consumption exceeds the preset average daily consumption standard range value, generating abnormal early warning information of the daily consumption and sending the abnormal early warning information to the terminal equipment;
According to the previous material receiving weight and the daily statement analysis of the material consumption condition, predicting the available days of the residual materials in the bin, and automatically generating a feed receiving plan;
the method for automatically generating the feed receiving plan comprises the following steps of analyzing and predicting available days of the residual materials in the bin according to the weight of the last material receiving and the daily statement of the material consumption condition, and specifically comprises the following steps:
Calculating the residual materials in the bin according to the weight of the last material receiving and a daily statement of the material consumption condition from the last material receiving date to the current date;
Calculating the available days of the residual materials in the bin according to the residual materials in the bin, the number of columns stored on the same day and a preset average daily consumption standard value;
Calculating a predicted material receiving date according to the daily report generation date of the material consumption condition and the available days of the residual materials in the bin, and automatically summarizing and generating a feed receiving plan according to the predicted material receiving date and the predicted material receiving quantity; the expected material receiving date=material consumption condition daily report generation date+available days of rest materials in the bin; the collar amount = the tower can be expected to hold the feed weight.
2. The method for monitoring and managing the real-time consumption of feed according to claim 1, further comprising:
Counting feeding habit parameters of the cultured animals in the feeding process, and if the statistical value of the feeding habit parameters exceeds a preset feeding habit parameter standard range value, generating feeding habit abnormal early warning information and sending the feeding habit abnormal early warning information to the terminal equipment; wherein, the feeding habit parameters comprise the feeding meal number and the feeding feed amount per meal.
3. The method for monitoring and managing the real-time consumption of feed according to claim 1, further comprising:
And counting the feeding time of the cultured animals in the feeding process, and if the feeding time is not within the preset working time period, generating non-working time feeding early warning information and sending the non-working time feeding early warning information to the terminal equipment.
4. A real-time feed consumption monitoring and management system, comprising:
The intelligent ammeter is arranged on the charging auger motor and is used for monitoring charging time in real time in the discharging process and transmitting charging time data to the digital charging amount monitoring platform;
The digital material quantity monitoring platform is connected with the intelligent electric meter and is used for calculating daily material consumption according to the material beating time length and a pre-calculated discharging speed calibration value to generate a daily material consumption condition report; the discharging speed calibration value is obtained by acquiring the discharging amount of the feed in a given period and calibrating the discharging speed;
The digital material quantity monitoring platform records the discharging time length through an intelligent ammeter arranged on a charging auger motor, performs on-site weighing on the discharging quantities corresponding to different discharging time lengths, and records discharging quantity data corresponding to a plurality of groups of discharging time lengths;
Calculating a discharge speed calibration value by the following formula:
Discharge speed calibration value =
Wherein X n represents the discharge time length of the nth group, and Y n represents the discharge amount of the nth group;
the digital material quantity monitoring platform records energy consumption through the reading of the intelligent ammeter in the calibration process of the discharging speed, and obtains the relation between the energy consumption and the discharging quantity;
The digital material quantity monitoring platform comprises a data processing module, wherein the data processing module comprises:
The daily statement generation unit is used for calculating daily material consumption according to the material beating time length and the pre-calculated discharging speed calibration value and generating a daily statement of material consumption condition;
The abnormal early warning unit is used for calculating the daily consumption of the head average of the cultured animals according to the daily statement of the consumption condition, and if the calculated value of the daily consumption of the head average exceeds the preset standard range value of the daily consumption of the head average, the daily consumption abnormal early warning information is generated and sent to the terminal equipment; obtaining the number of feeding habits of the cultivation, the feeding Xi Guanliang and the feeding habit time according to the detailed statement of the feed consumption condition, and if the actual feeding habit exceeds a preset range value, generating feeding habit abnormal early warning information and sending the information to a terminal device; obtaining feeding time according to a feed consumption condition detailed report, and if the actual feeding time is not within a preset working time range, generating non-working time feeding early warning information and sending the non-working time feeding early warning information to terminal equipment; the terminal equipment is in communication connection with the digital material quantity monitoring platform;
The abnormal early warning unit is also used for acquiring daily energy consumption through the intelligent ammeter in the discharging process and carrying out data abnormal judgment on daily material consumption in a daily material consumption condition report by combining the relation between the energy consumption and the discharging quantity;
The analysis and prediction unit is used for analyzing and predicting available days of the residual materials in the bin according to the previous material receiving weight and the daily statement of the material consumption condition and automatically generating a feed receiving plan;
the method for automatically generating the feed receiving plan comprises the following steps of analyzing and predicting available days of the residual materials in the bin according to the weight of the last material receiving and the daily statement of the material consumption condition, and specifically comprises the following steps:
Calculating the residual materials in the bin according to the weight of the last material receiving and a daily statement of the material consumption condition from the last material receiving date to the current date;
Calculating the available days of the residual materials in the bin according to the residual materials in the bin, the number of columns stored on the same day and a preset average daily consumption standard value;
Calculating a predicted material receiving date according to the daily report generation date of the material consumption condition and the available days of the residual materials in the bin, and automatically summarizing and generating a feed receiving plan according to the predicted material receiving date and the predicted material receiving quantity; the expected material receiving date=material consumption condition daily report generation date+available days of rest materials in the bin; the collar amount = the tower can be expected to hold the feed weight.
CN202410315694.1A 2024-03-20 2024-03-20 Method and system for monitoring and managing real-time consumption of feed Active CN117933570B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410315694.1A CN117933570B (en) 2024-03-20 2024-03-20 Method and system for monitoring and managing real-time consumption of feed

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410315694.1A CN117933570B (en) 2024-03-20 2024-03-20 Method and system for monitoring and managing real-time consumption of feed

Publications (2)

Publication Number Publication Date
CN117933570A CN117933570A (en) 2024-04-26
CN117933570B true CN117933570B (en) 2024-08-06

Family

ID=90754083

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410315694.1A Active CN117933570B (en) 2024-03-20 2024-03-20 Method and system for monitoring and managing real-time consumption of feed

Country Status (1)

Country Link
CN (1) CN117933570B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118923571A (en) * 2024-08-09 2024-11-12 江苏省农业科学院 Poultry feeding device, calibration method thereof and feeding method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106203834A (en) * 2016-07-11 2016-12-07 广东温氏食品集团股份有限公司 A kind of pig farm doses information management system and method
CN117204363A (en) * 2023-11-09 2023-12-12 成都万创科技股份有限公司 Accurate feeding system and method

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108513918A (en) * 2017-11-21 2018-09-11 铜陵市棵松农业科技有限公司 One broad sow finely feeds control system
CN109062160A (en) * 2018-08-22 2018-12-21 中国农业科学院农业信息研究所 A kind of intelligence livestock and poultry cultivation management system and method
CN109062129A (en) * 2018-08-23 2018-12-21 江苏大学 A kind of live pig feeding remote monitoring system and its control method based on web
CN114693077A (en) * 2022-03-09 2022-07-01 潍坊汇金海物联网技术有限公司 Real-time monitoring and early warning system breeds based on thing networking
CN116957836A (en) * 2023-07-27 2023-10-27 海阳市鼎立种鸡有限责任公司 A smart breeding data platform
CN117530197A (en) * 2023-12-12 2024-02-09 生猪技术创新中心(重庆) Piglet feeding equipment and feeding method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106203834A (en) * 2016-07-11 2016-12-07 广东温氏食品集团股份有限公司 A kind of pig farm doses information management system and method
CN117204363A (en) * 2023-11-09 2023-12-12 成都万创科技股份有限公司 Accurate feeding system and method

Also Published As

Publication number Publication date
CN117933570A (en) 2024-04-26

Similar Documents

Publication Publication Date Title
CN117933570B (en) Method and system for monitoring and managing real-time consumption of feed
US11574251B2 (en) Livestock and feedlot data collection and processing using UHF-band interrogation of radio frequency identification tags for feedlot arrival and risk assessment
CN109644891B (en) NB-IoT-based live pig growth key parameter monitoring system and method
CN107182909B (en) Pig feeding method, server, feeder and system
US8930148B2 (en) Animal identification, measurement, monitoring and management system
US20140116341A1 (en) Method for managing dairy production
US20110125062A1 (en) Method and apparatus for monitoring animal condition
KR20230003280A (en) Automated livestock management system
CN202255413U (en) Dairy cow pedometer
CN112379645B (en) An Internet of Things management and control system and method for group-raising sow feeding stations based on Drools rule engine
US20220312698A1 (en) Preventative failure for agricultural applications
KR102671127B1 (en) System and Method for Monitoring of Distributed Fish Farm
CN115669563B (en) High-efficiency live pig weight assessment system
CN118333073B (en) Intelligent monitoring system for beef cattle breeding with adaptive adjustment of RFID reading distance
CN206821670U (en) A kind of accurate feeding system based on internet
CN112241838A (en) Design system and method for large-scale beef cattle farm
CN115836653B (en) Intelligent feed feeding control method for automatic cultivation
Ouweltjes et al. At-market sensor technologies to develop proxies for resilience and efficiency in dairy cows
CN116530428B (en) Sow feeding control system and method
Barrientos-Blanco et al. Managing diet nutrient variability through improved forage sampling practices
Brennan et al. Implications for daily body weight data on beef cattle grazing extensive rangelands
CN118396670A (en) Silkworm cocoon acquisition supervision method, device, equipment and medium
CN118873128A (en) A livestock and poultry health status detection and early warning system
CN117121838A (en) Animal state data monitoring and analyzing method and device
Hlel et al. Correlations of production factors in automated milking system in a Hungarian dairy farm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant