Automatic early warning device and method for inventory of key parts of intelligent farm
By designing automatic early warning devices in intelligent breeding farms to monitor and analyze the inventory of key components, the problem of ineffective monitoring and early warning in the existing technology is solved, and the stability and continuous aquaculture production are achieved.
Patent Information
- Application Number
- CN202411748284.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-02-14
AI Technical Summary
The existing technology cannot effectively monitor and early warning of the inventory of key components in intelligent breeding farms, resulting in discontinuity and instability of breeding production.
An automatic warning device for inventory of key parts in intelligent farms is designed, including artificial intelligence unit spare parts monitoring module, behavior sensor spare parts monitoring module and cloud service platform. By monitoring the quantity, quality and working status of parts regularly, it automatically analyzes the number, quality and working status of parts. Data and alarm/alarm cancellation.
It realizes automatic warning of the inventory of key components in intelligent breeding farms, ensures the normal, stable and continuous breeding production, and improves the efficiency and reliability of intelligent breeding.
Smart Images
Figure CN119444071A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent breeding key component monitoring and early warning technology, and in particular to an automatic early warning device and method for the inventory of key components of an intelligent breeding farm. Background Art
[0002] With economic development, social progress and the continuous improvement of people's living standards, the contradiction between the effective supply of animal protein and epidemic diseases has become more prominent, and the breeding methods of economic animals have gradually changed from the scattered and inefficient farmer-family breeding model to the efficient, intensive and large-scale breeding method.
[0003] After years of development, the industry has gradually realized that intelligence is an important means to improve the efficiency of large-scale farming. The reliability of intelligent equipment in complex farming environments is a strong guarantee for the normal, stable and continuous farming production. Due to the particularity of farming and epidemic prevention, the stability of the supply of key components of intelligent equipment is particularly important. At present, the level of intelligent farming of economic animals is in its initial stage, and it is not possible to achieve timely and accurate monitoring and supply of key components and sensors of in-production intelligent equipment, which poses a hidden danger to the continuity and stability of intelligent farming production.
[0004] Therefore, it is an urgent problem for those skilled in the art to propose an automatic early warning device and method for the inventory of key components of an intelligent farm to solve the difficulties existing in the prior art. Summary of the invention
[0005] In view of this, the present invention provides an automatic early warning device and method for the inventory of key components of an intelligent breeding farm, which ensures normal, stable and continuous production of breeding and realizes automatic early warning of the inventory of key components of an intelligent breeding farm.
[0006] In order to achieve the above object, the present invention adopts the following technical solution: An automatic early warning device for the inventory of key parts of an intelligent farm includes: an artificial intelligence unit spare parts monitoring module, a behavior sensor spare parts monitoring module and a cloud service platform; wherein, an artificial intelligence unit spare parts monitoring module, which is in communication connection with the cloud service platform, and is used to monitor the quantity, quality and working status of the artificial intelligence unit spare parts, and transmit the first monitoring data back to the cloud service platform at a regular interval; The behavior sensor spare parts monitoring module is connected to the cloud service platform for monitoring the quantity of the behavior sensors and their packaging boxes, and transmitting the second monitoring data back to the cloud service platform at regular intervals; The cloud service platform is used to analyze the received first monitoring data and the second monitoring data, determine whether to issue an alarm / cancel the alarm, and realize automatic early warning of the inventory of key components of the smart farm.
[0007] The above-mentioned device may optionally include multiple artificial intelligence unit spare parts monitoring modules and artificial intelligence unit spare parts, and each artificial intelligence unit spare parts monitoring module monitors one artificial intelligence unit spare part.
[0008] In the above device, optionally, the artificial intelligence unit spare parts monitoring module includes a voltage monitoring module and a function monitoring module; The voltage detection module is used to monitor the voltage of the AIU interface circuit; The function detection module is used to monitor the execution status of the function module.
[0009] Optionally, the functional modules of the above-mentioned device include a 485 communication module, a memory module, a clock module, a Bluetooth module and a signal status module.
[0010] The above device, optionally, the cloud service platform includes a spare parts monitoring algorithm module, a database and a software management module; The monitoring algorithm module is a micro intelligent decision-making body, which is used to regularly monitor the first monitoring data and the second monitoring data to determine whether to issue an alarm / alarm cancellation; The database is used to classify and store the uplink and downlink data of the entire device; The software management module is used for human-computer interaction and data query.
[0011] The above device, optionally, the monitoring algorithm module periodically monitors the first monitoring data and the second monitoring data; When S≦MS or B≦MB or BN≦MBN, an alarm is issued, otherwise the alarm is lifted, where S is the number of monitored artificial intelligence units, MS is the minimum warning number of monitored artificial intelligence units, B is the number of monitored behavior sensor cartons, MB is the minimum warning number of monitored behavior sensor cartons, N is the number of behavior sensors for each carton, BN is the number of carton behavior sensors, and MBN is the minimum warning number of carton behavior sensors.
[0012] An automatic early warning method for the inventory of key parts of an intelligent farm is implemented by any of the above-mentioned automatic early warning devices for the inventory of key parts of an intelligent farm, comprising the following steps: Monitor the quantity, quality and working status of spare parts of the artificial intelligence unit to obtain first monitoring data; Monitoring the number of behavioral sensors and their packaging boxes to obtain second monitoring data; The first monitoring data and the second monitoring data are analyzed to determine whether to issue an alarm / cancel the alarm, thereby realizing automatic early warning of the inventory of key components of smart farms. It can be seen from the above technical solution that compared with the prior art, the present invention provides an automatic early warning device and method for the inventory of key components of an intelligent breeding farm, which has the following beneficial effects: the device of the present invention has the functions of automatic monitoring of the quantity of accessories and spare parts and automatic detection of quality; and according to the alarm threshold, automatic alarm and alarm cancellation are performed, thereby ensuring normal, stable and continuous production of breeding, and realizing automatic early warning of the inventory of key components of intelligent breeding farms. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0014] Figure 1 This is a structural block diagram of an automatic early warning device for the inventory of key parts of an intelligent breeding farm provided by the present invention; Figure 2 A flow chart of an automatic early warning method for the inventory of key parts of an intelligent breeding farm provided by the present invention; Among them, 1-artificial intelligence unit spare parts monitoring module, 2-behavior sensor spare parts monitoring module, 3-artificial intelligence unit spare parts. DETAILED DESCRIPTION
[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0016] Reference Figure 1 As shown, the present invention discloses an automatic early warning device for the inventory of key parts of an intelligent farm, comprising: an artificial intelligence unit spare parts monitoring module 1, a behavior sensor spare parts monitoring module 2 and a cloud service platform; wherein, The artificial intelligence unit spare parts monitoring module 1 is connected to the cloud service platform for communication, and is used to monitor the quantity, quality and working status of the artificial intelligence unit spare parts 3, and transmit the first monitoring data back to the cloud service platform at a regular interval; The behavior sensor spare parts monitoring module 2 is connected to the cloud service platform for communication, and is used to monitor the number of behavior sensors and their packaging boxes, and transmit the second monitoring data back to the cloud service platform at regular intervals; The cloud service platform is used to analyze the received first monitoring data and the second monitoring data, determine whether to issue an alarm / cancel the alarm, and realize automatic early warning of the inventory of key components of the smart farm.
[0017] Specifically, Figure 1 As shown, the artificial intelligence unit spare parts monitoring module 1, the behavior sensor spare parts monitoring module 2 and the artificial intelligence unit spare parts 3 are stored in a key parts mobile cabinet.
[0018] Furthermore, there are multiple artificial intelligence unit spare parts monitoring modules 1 and artificial intelligence unit spare parts 3, and each artificial intelligence unit spare parts monitoring module 1 monitors one artificial intelligence unit spare part 3.
[0019] Specifically, the multiple artificial intelligence unit spare parts monitoring modules 1 are not related to each other and are independent.
[0020] Further, the artificial intelligence unit spare parts monitoring module 1 includes a voltage monitoring module and a function monitoring module; The voltage detection module is used to monitor the voltage of the AIU interface circuit; The function detection module is used to monitor the execution status of the function module.
[0021] Specifically, the voltage monitoring module and the function monitoring module are used to check whether the connections between the various components of the artificial intelligence unit spare part 3 and the main electronic components are normal, and whether the key electronic components are working normally, that is, to monitor the quality and working status of each artificial intelligence unit spare part 3.
[0022] Furthermore, the functional modules include a 485 communication module, a memory module, a clock module, a Bluetooth module and a signal status module.
[0023] Specifically, the voltage detection module monitors the voltage of the AIU in real time through AD conversion and signal processing technology. Once a certain voltage exceeds the normal range, the power supply will be cut off and recorded as abnormal; the function detection module tests various functions such as various functions and signal state changes to determine whether there are abnormalities and record them. For example, in the 485 communication module function detection, if the data command is sent through the 485 communication module and the 485 communication module command reply can be received, the communication function of the 485 communication module is qualified. For the memory module function detection, first, the communication control with the memory module is normal, a string of data is written, and the read out is consistent with the written data, and then another string of different data is written, and the read out is still consistent with the written data, then the memory module function is qualified. For the clock module function detection, first, the communication control with the clock module is normal, the clock data can be read, and the date and time format is checked to be correct. The hour range is 0-23, and the minute and second range is 0-59. These must be within the numerical range, and the seconds are running normally every second, then the clock module function is qualified. Bluetooth module function check: first, the communication control with the Bluetooth module is normal, the command is sent, the response data can be received normally, and the Bluetooth MAC and status information can be read, then the Bluetooth module function is qualified. Signal status module function detection includes two types: input control signal detection and output control signal detection. Input control signal detection: the detector is set to a low level and given to a certain input signal. The signal obtained through the 485 communication module is indeed a low level. The detector is adjusted to a high level and then given to the input signal. The signal obtained through the 485 communication module also becomes a high level. The input signal function is qualified; output control signal detection: the 485 communication module sends a command to let a certain output signal output as a low level. The detector detects that the output signal is indeed a low level. The 485 communication module sends a command to let the output signal output as a high level. The detector detects that the output signal also becomes a high level. The output signal function is qualified. If no abnormality is found in each item, the test is qualified.
[0024] Furthermore, the cloud service platform includes spare parts monitoring algorithm module, database and software management module; The monitoring algorithm module is a micro intelligent decision-making body, which is used to regularly monitor the first monitoring data and the second monitoring data to determine whether to issue an alarm / alarm cancellation; The database is used to classify and store the uplink and downlink data of the entire device; The software management module is used for human-computer interaction and data query.
[0025] Specifically, the cloud service platform is deployed on computers to enable remote access and sharing of data, facilitating collaboration among multiple locations and users.
[0026] Further, the monitoring algorithm module periodically monitors the first monitoring data and the second monitoring data; When S≦MS or B≦MB or BN≦MBN, an alarm is issued, otherwise the alarm is lifted, where S is the number of monitored artificial intelligence units, MS is the minimum warning number of monitored artificial intelligence units, B is the number of monitored behavior sensor cartons, MB is the minimum warning number of monitored behavior sensor cartons, N is the number of behavior sensors for each carton, BN is the number of carton behavior sensors, and MBN is the minimum warning number of carton behavior sensors.
[0027] and Figure 1 Corresponding to the above device, the embodiment of the present invention also provides an automatic early warning method for the inventory of key parts of an intelligent farm, and its flow chart is as follows: Figure 2 As shown, the following steps are included: Monitor the quantity, quality and working status of the artificial intelligence unit spare part 3 to obtain first monitoring data; Monitoring the number of behavioral sensors and their packaging boxes to obtain second monitoring data; The first monitoring data and the second monitoring data are analyzed to determine whether to issue an alarm / cancel the alarm, thereby realizing automatic early warning of the inventory of key components of smart farms.
[0028] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0029] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. An automatic early warning device for the inventory of key parts in an intelligent breeding farm, characterized in that: include: Artificial intelligence unit spare parts monitoring module, behavior sensor spare parts monitoring module and cloud service platform; among them, an artificial intelligence unit spare parts monitoring module, which is in communication connection with the cloud service platform, and is used to monitor the quantity, quality and working status of the artificial intelligence unit spare parts, and transmit the first monitoring data back to the cloud service platform at a regular interval; The behavior sensor spare parts monitoring module is connected to the cloud service platform for monitoring the quantity of the behavior sensors and their packaging boxes, and transmitting the second monitoring data back to the cloud service platform at regular intervals; The cloud service platform is used to analyze the received first monitoring data and the second monitoring data, determine whether to issue an alarm / cancel the alarm, and realize automatic early warning of the inventory of key components of the smart farm.
2. According to claim 1, an automatic early warning device for the inventory of key parts of an intelligent breeding farm is characterized in that: There are multiple artificial intelligence unit spare parts monitoring modules and artificial intelligence unit spare parts, and each artificial intelligence unit spare parts monitoring module monitors one artificial intelligence unit spare part.
3. According to claim 1, the automatic early warning device for the inventory of key parts of an intelligent breeding farm is characterized in that: The AI unit spare parts monitoring module includes a voltage monitoring module and a function monitoring module; The voltage detection module is used to monitor the voltage of the AIU interface circuit; The function detection module is used to monitor the execution status of the function module.
4. The automatic early warning device for the inventory of key parts of an intelligent breeding farm according to claim 3 is characterized in that: The functional modules include 485 communication module, memory module, clock module, Bluetooth module and signal status module.
5. The automatic early warning device for the inventory of key parts of an intelligent breeding farm according to claim 1 is characterized in that: The cloud service platform includes spare parts monitoring algorithm module, database and software management module; The monitoring algorithm module is a micro intelligent decision-making body, which is used to regularly monitor the first monitoring data and the second monitoring data to determine whether to issue an alarm / alarm cancellation; The database is used to classify and store the uplink and downlink data of the entire device; The software management module is used for human-computer interaction and data query.
6. The automatic early warning device for the inventory of key parts of an intelligent breeding farm according to claim 5 is characterized in that: The monitoring algorithm module periodically monitors the first monitoring data and the second monitoring data; When S≦MS or B≦MB or BN≦MBN, an alarm is issued, otherwise the alarm is lifted, where S is the number of monitored artificial intelligence units, MS is the minimum warning number of monitored artificial intelligence units, B is the number of monitored behavior sensor cartons, MB is the minimum warning number of monitored behavior sensor cartons, N is the number of behavior sensors for each carton, BN is the number of carton behavior sensors, and MBN is the minimum warning number of carton behavior sensors.
7. An automatic early warning method for the inventory of key parts in an intelligent breeding farm, characterized in that: The automatic early warning device for the inventory of key parts of an intelligent farm according to any one of claims 1 to 6 comprises the following steps: Monitor the quantity, quality and working status of spare parts of the artificial intelligence unit to obtain first monitoring data; Monitoring the number of behavioral sensors and their packaging boxes to obtain second monitoring data; The first monitoring data and the second monitoring data are analyzed to determine whether to issue an alarm / cancel the alarm, thereby realizing automatic early warning of the inventory of key components of smart farms.