CN114776615A - Livestock-raising uses wisdom fan control system based on thing networking - Google Patents
Livestock-raising uses wisdom fan control system based on thing networking Download PDFInfo
- Publication number
- CN114776615A CN114776615A CN202210313933.0A CN202210313933A CN114776615A CN 114776615 A CN114776615 A CN 114776615A CN 202210313933 A CN202210313933 A CN 202210313933A CN 114776615 A CN114776615 A CN 114776615A
- Authority
- CN
- China
- Prior art keywords
- growth
- value
- fan
- mean
- farm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000006855 networking Effects 0.000 title description 2
- 241001465754 Metazoa Species 0.000 claims abstract description 59
- 230000007613 environmental effect Effects 0.000 claims abstract description 52
- 244000144972 livestock Species 0.000 claims abstract description 27
- 238000009395 breeding Methods 0.000 claims abstract description 16
- 230000001488 breeding effect Effects 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 11
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 7
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 12
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 9
- 229910000037 hydrogen sulfide Inorganic materials 0.000 claims description 9
- 239000007789 gas Substances 0.000 claims description 8
- 230000036449 good health Effects 0.000 claims description 5
- 235000013372 meat Nutrition 0.000 claims description 5
- 230000037396 body weight Effects 0.000 claims description 2
- 101100160779 Arabidopsis thaliana YUC6 gene Proteins 0.000 description 7
- 238000012545 processing Methods 0.000 description 5
- 230000001276 controlling effect Effects 0.000 description 4
- 229910021529 ammonia Inorganic materials 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 208000036217 essential susceptibility to 8 hypertension Diseases 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Housing For Livestock And Birds (AREA)
Abstract
The invention discloses an intelligent fan control system for livestock breeding based on the Internet of things, which comprises a data acquisition module, a server, a data comparison module and a fan power module, wherein the data acquisition module is used for acquiring data; the data acquisition module is used for acquiring environmental data of the livestock farm and sending the acquired environmental data to the server, and the server analyzes and processes the received environmental data; the data comparison module is in communication connection with the server, analyzes and compares the growing mean value JY of the farm animals and the environment value HY of the farm, which are obtained by the server, with preset values, and controls the fan power module to work correspondingly according to comparison results, so that the fan can work correspondingly; according to the intelligent fan control system, the fan is started to work according to the growth cycle and the environmental factors, so that the livestock farm is ensured to be in a good growth environment, and a comfortable growth atmosphere is improved for the cultured animals.
Description
Technical Field
The invention relates to the technical field of livestock breeding, in particular to an intelligent fan control system for livestock breeding based on the Internet of things.
Background
Chinese patent CN109189129A discloses a livestock breeding smart fan based on the Internet of things, which comprises a cooling system, an air duct, a smart fan unit and a sensor unit, wherein the air duct comprises a plurality of air duct branch pipes communicated with the air duct; the cooling system is arranged at an air inlet of the air duct, and the tail end of the air duct branch pipe is provided with an intelligent fan; the sensor unit collects environmental data and sends the environmental data to the intelligent fan unit; the intelligent fan unit adjusts the air output of the air duct branch pipe according to the environmental data;
in the prior art, the fan is started in the livestock farm and is in a long-term working state, and the working state and the power of the fan cannot be adjusted at any time according to factors such as the growth cycle, the growth state and the environment of the animals raised in the livestock farm, so that the fan is ensured to be in good working efficiency.
Disclosure of Invention
The invention aims to solve the problems of the background technology and provides an intelligent fan control system for livestock breeding based on the Internet of things.
The purpose of the invention can be realized by the following technical scheme:
the intelligent fan control system for livestock breeding based on the Internet of things comprises a data acquisition module, a server, a data comparison module and a fan power module;
the data acquisition module is used for acquiring environmental data of the livestock farm and sending the acquired environmental data to the server, and the server analyzes and processes the received environmental data;
the data comparison module is in communication connection with the server, analyzes and compares the growing average JY of the farm animals and the environmental value HY of the farm animals obtained by the server with preset values, and controls the fan power module to work correspondingly according to comparison results, so that the fan can work correspondingly;
the growth average JY is used for calculating a growth value SZ of the raised animals by obtaining the growth body weight TD and the growth height GD of the raised animals in each farm according to a formula SZ (TD × a1+ GD × a 2); feeding the animals again and dividing the animals by SY;
the environment value HY passes through a temperature value WD and a humidity value SD of a farm, the ammonia concentration is CN, and the hydrogen sulfide concentration is CS; calculated using the formula HY ═ b1 × lg [ (WD +1) + (SD +1) ] + b2 × lg [ (CN +1) + (CS +1) ].
As a further scheme of the invention: the data acquisition module is temperature and humidity sensor and gas detector installed on each farm.
As a further scheme of the invention: the temperature value WD and the humidity value SD are obtained through temperature and humidity sensors, and the ammonia gas concentration CN and the hydrogen sulfide concentration CS are obtained through a gas detector.
As a further scheme of the invention: the preset value of the growth average value is that the growth of the raised animals is divided into eight periods, and 1000 growing environments of the raised animals with good health status and good meat quality are taken as samples; the mean growth JYTn of the animals raised in each growth cycle was calculated according to the formula SZ × a1+ GD × a 2.
As a further scheme of the invention: the preset value of the environmental value is that the growth of the raised animals is divided into eight periods, and 1000 growing environments of the raised animals with good health status and better meat quality are taken as samples; then, the environment value HYTn of the animals in each growth cycle is obtained by calculating the formula of HY ═ b1 × lg [ (WD +1) + (SD +1) ] + b2 × lg [ (CN +1) + (CS +1) ].
As a further scheme of the invention: and the data comparison module has two results that the growth mean JY, the environmental value HY and the growth period are matched with each other and the growth mean JY, the environmental value HY and the growth period are not matched with each other in the comparison working process.
As a further scheme of the invention: the growth mean JY, the environmental value HY and the growth cycle are matched with one another, so that the growth mean JY and the environmental value HY which are obtained through collection are located in the growth mean JYTn range and the environmental value HYTn range of the corresponding growth cycle respectively;
and sending the signal to a fan power module, so that the fan performs working output at a power gear Pn of a corresponding growth cycle.
As a further scheme of the invention: the growth mean JY, the environmental value HY and the growth cycle are not matched with one another, namely the acquired growth mean JY is in the growth mean JYTn range corresponding to the growth cycle, and the environmental value HY is not in the environmental value HYTn range corresponding to the growth cycle; and sending the signal to a fan power module to obtain a corresponding power gear Pn of the growth cycle, and controlling the fan to work within the range of power (k1minPn, k1 maxPn).
As a further scheme of the invention: and if the acquired growth mean JY is not in the growth mean JYTn range corresponding to the growth period and the environmental value HY is not in the environmental value HYTn range corresponding to the growth period, sending a signal to a fan power module to obtain a power gear Pn of the corresponding growth period, and controlling the fan to work in the power (k2minPn, k2maxPn) range.
As a further scheme of the invention: according to the formulas k1min ═ HYTn-1/HY, k1max ═ HYTn/HY; obtaining kmin and kmax, and obtaining k2min and k2max according to formulas k2min ═ JYTn-1/JY)/(HYTn-1/HY) and k2max ═ JYTn/JY)/(HYTn/HY.
The invention has the beneficial effects that:
collecting the temperature and humidity, the ammonia concentration and the hydrogen sulfide concentration in a farm through a data collection module; then sending the environment value to a server, obtaining the environment value of the current farm through calculation of the server, sending the environment value of the farm to a data comparison module for analysis and comparison, judging whether the growth mean JY, the environment value HY and the growth period are in a mutually matched state, and sending a signal to a fan power module if the growth mean JY, the environment value HY and the growth period are mutually matched so that the fan performs working output by using a power gear Pn of the corresponding growth period; if the growth mean JY, the environmental value HY and the growth period are not matched with one another, sending a signal to a fan power module to obtain a power gear Pn of the corresponding growth period, and controlling the fan to work within the power range of (k1minPn, k1maxPn) or (k2minPn, k2 maxPn); therefore, the power of the fan can be adjusted according to the environment of the livestock farm, the fan is matched with the growth cycle of the farm animals, the growth environments of the farm animals in different cycles are analyzed, and then the corresponding fan works, so that the intelligent fan control system provided by the invention starts the fan to work according to the growth cycle and the environmental factors, the livestock farm is ensured to be in a good growth environment, and a comfortable growth atmosphere is improved for the farm animals.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to an intelligent fan control system for livestock breeding based on the internet of things, which comprises a user terminal, a data acquisition module, a server, a data comparison module and a fan power module;
the user terminal is in communication connection with the server and used for registering and logging in the intelligent fan control system after a user inputs personal information;
the data acquisition module is used for acquiring environmental data of the livestock farm and sending the acquired environmental data to the server, and the server analyzes and processes the received environmental data; the data acquisition module is specifically a temperature and humidity sensor, a gas detector and the like which are arranged on each farm;
the working process of the server is as follows:
the method comprises the following steps: marking u, u as 1, 2, … …, z and z as positive integers at each farm; obtaining Yui of farm animals, wherein i is 1, 2, … …, x, i represents the serial number of the farm animals, x is a positive integer, obtaining the growth weight TD and the growth height GD of the farm animals, and calculating the growth value SZ of the farm animals by using a formula SZ which is TD × a1+ GD × a2, wherein a1 and a2 are both fixed numerical values of proportional coefficients, and the values of a1 and a2 are both larger than zero;
step two: recording the number of the raised animals in the farm as SY, adding the growth values of the raised animals to obtain a total growth value ZY of the raised animals, and dividing the total growth value ZY by the SY to obtain a growth average value JY of the raised animals;
step three: acquiring a temperature value WD and a humidity value SD of a farm through a temperature and humidity sensor; acquiring the concentration of ammonia gas in a farm as CN and the concentration of hydrogen sulfide as CS by a gas detector;
step five: calculating an environment value HY of the farm by using a formula HY ═ b1 × lg [ (WD +1) + (SD +1) ] + b2 × lg [ (CN +1) + (CS +1) ], wherein b1 and b2 are both fixed values of proportional coefficients, and the values of b1 and b2 are both greater than zero;
the gas detector comprises ammonia gas and hydrogen sulfide electrochemical gas sensors, and the conditioning circuit respectively performs I/V conversion and amplification on current signals generated by the sensors to obtain standard signals of 0-5V; the standard signal is input into the signal acquisition processing module, the analog signal is converted into a digital signal by the A/D converter, and the digital signal is obtained by a microprocessor of the signal acquisition processing module; the microprocessor calculates the concentration of ammonia gas and hydrogen sulfide;
the data comparison module is in communication connection with the server, analyzes and compares the growing average JY of the farm animals and the environmental value HY of the farm animals obtained by the server with preset values, and controls the fan power module to work correspondingly according to comparison results, so that the fan can work correspondingly;
the preset values are that the growth of the farm animals is divided into eight periods, specifically: t1, T2, … …, T8; taking 1000 growing environments of the raised animals with good health status and good meat quality as samples; firstly, calculating the growth mean value JYTn of the fed animals in each growth cycle according to a formula SZ (time division) multiplied by a1+ GD multiplied by a 2; the method comprises the following specific steps: JYT1, JYT2, … …, JYT 8; the average growth value of the raised animals at T1 is (0, JYT2), the average growth value of the raised animals at T2 is (JYT1, JYT2), … …, the average growth value of the raised animals at T8 is (JYT7, JYT 8);
then obtaining the environment value HYTn of the fed animals in each growth cycle, specifically HYT1, HYT2, … … and HYT8, according to an HY b1 × lg [ (WD +1) + (SD +1) ] + b2 × lg [ (CN +1) + (CS +1) ]; the environment value of the animals raised at T1 is (0, HYT1), the environment value of the animals raised at T2 is (HYT1, HYT2), … …, the environment value of the animals raised at T8 is (HYT7, HYT 8);
the data comparison module has the following results in the comparison working process:
the result is as follows: the growth mean JY, the environmental value HY and the growth period are matched with one another; namely, the acquired growth mean JY and the environmental value HY are acquired; the growth mean value JY and the environmental value HY are respectively located in the range of the growth mean value JYTn and the environmental value HYTn of the corresponding growth period;
for example: the collected growth mean value JY is in a range of (JYT1, JYT2), the raised animals of the farm are in a T2 period, and meanwhile, the obtained environmental value HY is in a range of (HYT1, HYT2), and then the raised animals of the farm are judged to be in a T2 period; at the moment, the fan can be directly controlled to make a corresponding working state;
and a second result: the growth mean JY, the environmental value HY and the growth period are not matched with one another; it has two cases:
the first condition is as follows: acquiring an obtained growth mean JY and an environment value HY; the growth mean JY is in the growth mean JYTn range corresponding to the growth period, and the environmental value HY is not in the environmental value HYTn range corresponding to the growth period;
for example: the acquired growth mean JY is in a (JYT1, JYT2) range, the farm animals are in a T2 period, and meanwhile, the acquired environmental value HY is not in a (HYT1, HYT2) range, and at the moment, the acquired growth mean JY and the environmental value HY are subjected to data processing;
and a second condition: collecting the obtained growth mean JY and the environment value HY; the growth mean JY is not in the growth mean JYTn range corresponding to the growth cycle, and the environment value HY is not in the environment value HYTn range corresponding to the growth cycle;
for example: the acquired growth mean JY is not in the (JYT1, JYT2) range, the acquired environment value HY is not in the (HYT1, HYT2) range, the farm animals are not in the T2 period, and at the moment, the acquired growth mean JY and the environment value HY are subjected to data processing;
the data processing working process specifically comprises the following steps:
the first condition is as follows: according to the formulas k1min ═ HYTn-1/HY and k1max ═ HYTn/HY; obtaining k1min and k1max, wherein k1min is the minimum value of the first-time fan adjusting coefficient under the condition, and k1max is the maximum value of the first-time fan adjusting coefficient under the condition;
and a second condition: obtaining k2min and k2max according to formulas k2min ═ jtn-1/JY)/(HYTn-1/HY and k2max ═ JYTn/JY)/(HYTn/HY; wherein k2min is the minimum value of the fan regulating coefficient under the second condition, and k2max is the maximum value of the fan regulating coefficient under the second condition;
the data comparison module is in communication connection with the fan power module, the fan power module is in communication connection with the fan, the data comparison module sends the comparison condition to the fan power module, and controls the fan to make a corresponding working state according to the signal;
specifically, the fan power module has a plurality of power gears Pn, including P1, P2, … … and P8, the P1 power gear corresponds to the growth mean JYT1 and the environment value HYT1 of the first period T1 of the farm animal, the P2 power gear corresponds to the growth mean JYT2 and the environment value HYT2 of the first period T2 of the farm animal, and the … … and P8 power gear corresponds to the growth mean JYT8 and the environment value HYT8 of the first period T8 of the farm animal, that is, when the growth mean and the environment value of the farm animal obtained by the data comparison module both conform to the growth period, a signal is sent to the fan power module, so that the fan performs working output at the power gear Pn of the corresponding growth period; when the result is a moment, the fan power module is in a working state;
in addition, when the data comparison module has a condition in the second result, the data comparison module sends the comparison condition to the fan power module to obtain a power gear Pn of a corresponding growth cycle, and controls the fan to work within the range of power (k1minPn, k1 maxPn);
and when the data comparison module has a second condition in the second result, the data comparison module sends the comparison condition into the fan power module to obtain a power gear Pn of the corresponding growth cycle, and the fan is controlled to work within the range of power (k2minPn, k2 maxPn).
The working principle of the invention is as follows: collecting the temperature and humidity, the ammonia concentration and the hydrogen sulfide concentration in a farm through a data collection module; then sending the environment value to a server, obtaining the environment value of the current farm through calculation of the server, sending the environment value of the farm to a data comparison module for analysis and comparison, judging whether the growth mean JY, the environment value HY and the growth period are in a mutually matched state, and sending a signal to a fan power module if the growth mean JY, the environment value HY and the growth period are mutually matched so that the fan performs working output by using a power gear Pn of the corresponding growth period;
if the growth mean JY, the environmental value HY and the growth period are not matched with each other, sending a signal to a fan power module to obtain a power gear Pn of a corresponding growth period, and controlling the fan to work within a power range of (k1minPn, k1maxPn) or (k2minPn, k2 maxPn); therefore, the power of the fan can be adjusted according to the environment of the livestock farm, the fan is matched with the growth cycle of the farm animals, the growth environment of the farm animals in different cycles is analyzed, and then the corresponding fan works, so that the intelligent fan control system provided by the invention starts the fan to work according to the growth cycle and environmental factors, the livestock farm is ensured to be in a good growth environment, and a comfortable growth atmosphere is improved for the farm animals.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (9)
1. The intelligent fan control system for livestock breeding based on the Internet of things is characterized by comprising a data acquisition module, a server, a data comparison module and a fan power module;
the data acquisition module is used for acquiring environmental data of the livestock farm and sending the acquired environmental data to the server, and the server analyzes and processes the received environmental data;
the data comparison module is in communication connection with the server, analyzes and compares the growing mean value JY of the farm animals and the environment value HY of the farm, which are obtained by the server, with preset values, and controls the fan power module to work correspondingly according to comparison results, so that the fan can work correspondingly;
the growth average JY is used for calculating a growth value SZ of the raised animals by obtaining the growth body weight TD and the growth height GD of the raised animals in each farm according to a formula SZ (TD × a1+ GD × a 2); feeding the animals again and dividing the animals by SY;
the environment value HY passes through a temperature value WD, a humidity value SD, an ammonia gas concentration CN and a hydrogen sulfide concentration CS of a farm; calculated using the formula HY ═ b1 × lg [ (WD +1) + (SD +1) ] + b2 × lg [ (CN +1) + (CS +1) ].
2. The intelligent blower control system for livestock breeding based on the internet of things as claimed in claim 1, wherein the data acquisition module is a temperature and humidity sensor and a gas detector installed on each farm.
3. The intelligent blower control system for livestock breeding based on the internet of things of claim 2, wherein the temperature value WD and the humidity value SD are obtained by temperature and humidity sensors, and the ammonia gas concentration CN and the hydrogen sulfide concentration CS are obtained by gas detectors.
4. The intelligent blower control system for livestock breeding based on the internet of things of claim 3, wherein the preset value of the growth mean value is to divide the growth of the farm animals into eight periods, and 1000 growth environments with good health status and good meat quality are taken as samples; the mean growth JYTn of the animals raised in each growth cycle was calculated according to the formula SZ × a1+ GD × a 2.
5. The intelligent blower control system for livestock breeding based on the internet of things of claim 4, wherein the preset value of the environmental value is to divide the growth of the farm animals into eight periods, and 1000 growth environments of the farm animals with good health status and good meat quality are taken as samples; then, the environment value HYTn of the animals in each growth cycle is obtained by calculating the formula of HY ═ b1 × lg [ (WD +1) + (SD +1) ] + b2 × lg [ (CN +1) + (CS +1) ].
6. The Internet of things-based intelligent fan control system for livestock breeding according to claim 5, wherein the data comparison module has two results that the growth mean JY, the environmental value HY and the growth period are matched with one another and the growth mean JY, the environmental value HY and the growth period are not matched with one another in the comparison working process.
7. The intelligent Internet-of-things-based livestock breeding fan control system according to claim 6, wherein the growth mean JY, the environmental value HY and the growth cycle are matched with one another such that the acquired growth mean JY and the environmental value HY are respectively located in the growth mean JYTn and the environmental value HYTn range of the corresponding growth cycle;
and sending the signal to a fan power module, so that the fan performs working output at a power gear Pn of a corresponding growth cycle.
8. The intelligent blower control system for livestock breeding based on the internet of things of claim 7, wherein the growth mean JY, the environmental value HY and the growth cycle are not matched with one another, so that the acquired growth mean JY is in the JYTn range of the growth mean corresponding to the growth cycle, and the environmental value HY is not in the HYTn range of the environmental value corresponding to the growth cycle; and sending the signal to a fan power module to obtain a power gear Pn of a corresponding growth cycle, and controlling the fan to work within a power (k1minPn, k1maxPn) range.
9. The intelligent fan control system for livestock breeding based on the internet of things as claimed in claim 8, wherein the acquired growth mean JY is not in the growth mean JYTn range corresponding to the growth period, and the environment value HY is not in the environment value HYTn range corresponding to the growth period, then a signal is sent to the fan power module to obtain the power gear Pn corresponding to the growth period, and the fan is controlled to work within the power (k2minPn, k2 maxPn).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210313933.0A CN114776615B (en) | 2022-03-28 | 2022-03-28 | Intelligent fan control system for livestock breeding based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210313933.0A CN114776615B (en) | 2022-03-28 | 2022-03-28 | Intelligent fan control system for livestock breeding based on Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114776615A true CN114776615A (en) | 2022-07-22 |
| CN114776615B CN114776615B (en) | 2024-06-25 |
Family
ID=82424582
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210313933.0A Active CN114776615B (en) | 2022-03-28 | 2022-03-28 | Intelligent fan control system for livestock breeding based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114776615B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1994029599A1 (en) * | 1993-06-03 | 1994-12-22 | Rotacon Engineering Limited | Apparatus for handling slurry |
| WO2006113688A2 (en) * | 2005-04-19 | 2006-10-26 | Kamterter Ii, L.L.C. | Systems for control, use of fluids, particles |
| US20100080704A1 (en) * | 2008-09-30 | 2010-04-01 | Mark Serven | Method and system for limiting blade pitch |
| KR20110060995A (en) * | 2009-12-01 | 2011-06-09 | 순천대학교 산학협력단 | The system for controlling environments by using a ventilation fan and heating lamp in the pigpen and the method |
| KR20140052284A (en) * | 2012-10-24 | 2014-05-07 | 목포해양대학교 산학협력단 | Smart ubiquitous sensor network system, method and computer readable recording medium for managing agriculture and stockbreeding remotely |
| CN105320087A (en) * | 2014-07-10 | 2016-02-10 | 南京化工职业技术学院 | Automatic pig raising system |
| US20160174531A1 (en) * | 2014-12-18 | 2016-06-23 | Pentair Water Pool And Spa, Inc. | Aquaculture Pump System and Method |
| CN109189129A (en) * | 2018-09-30 | 2019-01-11 | 重庆市畜牧科学院 | The method of livestock-raising wisdom blower and control temperature and humidity based on Internet of Things |
| CN112114604A (en) * | 2020-08-03 | 2020-12-22 | 广州广兴牧业设备集团有限公司 | Method for regulating and controlling growth climate suitable for livestock groups in livestock breeding house |
| CN112462829A (en) * | 2020-11-20 | 2021-03-09 | 深圳市朗锐恒科技开发有限公司 | Automatic control system and method for livestock breeding environment |
| CN113703504A (en) * | 2021-09-26 | 2021-11-26 | 中国热带农业科学院湛江实验站 | Temperature and humidity control system and method for livestock breeding based on Internet of things |
-
2022
- 2022-03-28 CN CN202210313933.0A patent/CN114776615B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1994029599A1 (en) * | 1993-06-03 | 1994-12-22 | Rotacon Engineering Limited | Apparatus for handling slurry |
| WO2006113688A2 (en) * | 2005-04-19 | 2006-10-26 | Kamterter Ii, L.L.C. | Systems for control, use of fluids, particles |
| US20100080704A1 (en) * | 2008-09-30 | 2010-04-01 | Mark Serven | Method and system for limiting blade pitch |
| KR20110060995A (en) * | 2009-12-01 | 2011-06-09 | 순천대학교 산학협력단 | The system for controlling environments by using a ventilation fan and heating lamp in the pigpen and the method |
| KR20140052284A (en) * | 2012-10-24 | 2014-05-07 | 목포해양대학교 산학협력단 | Smart ubiquitous sensor network system, method and computer readable recording medium for managing agriculture and stockbreeding remotely |
| CN105320087A (en) * | 2014-07-10 | 2016-02-10 | 南京化工职业技术学院 | Automatic pig raising system |
| US20160174531A1 (en) * | 2014-12-18 | 2016-06-23 | Pentair Water Pool And Spa, Inc. | Aquaculture Pump System and Method |
| CN109189129A (en) * | 2018-09-30 | 2019-01-11 | 重庆市畜牧科学院 | The method of livestock-raising wisdom blower and control temperature and humidity based on Internet of Things |
| CN112114604A (en) * | 2020-08-03 | 2020-12-22 | 广州广兴牧业设备集团有限公司 | Method for regulating and controlling growth climate suitable for livestock groups in livestock breeding house |
| CN112462829A (en) * | 2020-11-20 | 2021-03-09 | 深圳市朗锐恒科技开发有限公司 | Automatic control system and method for livestock breeding environment |
| CN113703504A (en) * | 2021-09-26 | 2021-11-26 | 中国热带农业科学院湛江实验站 | Temperature and humidity control system and method for livestock breeding based on Internet of things |
Non-Patent Citations (1)
| Title |
|---|
| 史荣猛: "肉鸡养殖之通风基础理论", 《新农业》, vol. 2017, no. 15, 10 August 2017 (2017-08-10), pages 33 - 34 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114776615B (en) | 2024-06-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202588030U (en) | Intelligent pig raising system based on Internet of things | |
| CN113709260B (en) | Data analysis ODM system based on feed production thing networking | |
| CN111340342A (en) | Animal breeding analysis and evaluation system based on cloud platform | |
| CN1598730A (en) | Network intelligent multi-parameter observe and control device | |
| CN116562813B (en) | Intelligent agriculture integrated management system based on agriculture internet of things | |
| CN107991933A (en) | A kind of environmental data analysis evaluation shared system based on MEMS Multifunctional air gas sensors | |
| CN112325949A (en) | Breeding environment monitoring system | |
| CN114776615B (en) | Intelligent fan control system for livestock breeding based on Internet of things | |
| CN113218053B (en) | Air conditioner load regulation and control system | |
| CN208187518U (en) | A kind of livestock automatic weighing system | |
| CN117628678A (en) | Energy-saving air conditioner control panel based on wireless network control | |
| CN109059992B (en) | On-line monitoring system and monitoring method of poultry house environment sensor | |
| CN115015483B (en) | Feeding, supplying, analyzing and processing system based on meat pigeon growth data | |
| CN111242797A (en) | Prediction system and method for pigsty environment suitability | |
| CN213367814U (en) | Gateway for breeding environment-controlled Internet of things | |
| CN110673483B (en) | Intelligent livestock and poultry breeding system and method based on mobile Internet of things technology | |
| CN114184755A (en) | System and method for automatic monitoring of aquaculture water and prevention of water eutrophication | |
| CN103329758B (en) | Production monitoring method based on reconfigurable technology for agricultural greenhouse | |
| CN116649251B (en) | Intelligent control system and method for poultry breeding environment | |
| CN214704450U (en) | Green house intelligent management device based on thing networking | |
| CN107967013A (en) | A kind of indoor environment intelligent management system of farm | |
| CN217060851U (en) | Intelligent plant seed cultivation regulation and control system | |
| CN117450649A (en) | Intelligent calculation method for wind-water linkage group of air conditioning system | |
| CN212159652U (en) | Solar-powered multi-parameter gas monitor | |
| CN107632125A (en) | A kind of real-time water quality monitoring system |
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 |