CN109542055A - A kind of automatic control aquatic farm master control platform control method - Google Patents

A kind of automatic control aquatic farm master control platform control method Download PDF

Info

Publication number
CN109542055A
CN109542055A CN201811289038.XA CN201811289038A CN109542055A CN 109542055 A CN109542055 A CN 109542055A CN 201811289038 A CN201811289038 A CN 201811289038A CN 109542055 A CN109542055 A CN 109542055A
Authority
CN
China
Prior art keywords
control
environmental data
data
node controller
aquatic 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.)
Pending
Application number
CN201811289038.XA
Other languages
Chinese (zh)
Inventor
陈涛
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.)
Nanning University
Nanning Institute
Original Assignee
Nanning Institute
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 Nanning Institute filed Critical Nanning Institute
Priority to CN201811289038.XA priority Critical patent/CN109542055A/en
Publication of CN109542055A publication Critical patent/CN109542055A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4185Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention provides a kind of automatic control aquatic farm master control platform control methods, include the following steps: 1. to receive environmental data: sending data request signal to Node Controller one by one, and wait the environmental data of each Node Controller feedback to be received;2. establishing distribution map: by the environmental data received, the Node Controller location information of connecting inner storage updates environmental data distribution map;3. calculating controlling value;4. comparison grouping;5. sending instruction.The present invention is arranged by reasonable step; it can effectively realize that the multi-step grouping to scale aquaculture controls; cultivation control is efficiently accomplished under the premise of the electronic component cost of the environment measurings such as temperature, humidity is greatly reduced; it is particularly based on the mode for updating environmental data distribution map; the PID control of each aquaculture pond can be realized under conditions of non-straight control, so that being greatly reduced for electronic component cost does not interfere with going on smoothly for cultivation control.

Description

A kind of automatic control aquatic farm master control platform control method
Technical field
The present invention relates to a kind of automatic control aquatic farm master control platform control methods.
Background technique
Scale automatic control aquaculture in the prior art, general two ways select one, and it is independent that one is each aquaculture ponds Control, multiple aquaculture ponds are either still respectively adopted different control modes using same control mode, are required to each The controller of aquaculture pond is independently arranged parameter, thus while single aquaculture pond adjusts control mode when replacing kind conveniently, but It is extremely onerous if scale;Another kind is uniformly controlled using control or master control platform in one, for any aquaculture pond Control mode setting can the mass processing in middle control or master control platform, but in scale, middle control or the calculating of master control platform Pressure and communication pressure are all larger, and adjustment control mode is more troublesome when aquaculture pond replaces kind, and trouble place is main After being embodied in repeatedly replacement kind, the breed variety distribution of aquaculture pond can be very random, and mass is set in middle control at this time or master control platform When setting, operates and be easy to fault.On the other hand, no matter which kind of mode, at present be typically all temperature is independently arranged to each aquaculture pond The electronic component of the environment measurings such as degree, humidity, cost are high.
For this purpose, a kind of automatic control aquatic farm control system (and in addition having applied for a patent) of our company's independent design, but In the prior art lack can directly transplanting prosecutor method.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of automatic control aquatic farm master control platform control method, it should be certainly It controls aquatic farm master control platform control method to be arranged by reasonable step, can effectively realize to the more of scale aquaculture Grade grouping control, efficiently accomplishes cultivation under the premise of the electronic component cost of the environment measurings such as temperature, humidity is greatly reduced Control.
The present invention is achieved by the following technical programs.
A kind of automatic control aquatic farm master control platform control method provided by the invention, includes the following steps:
1. receiving environmental data: sending data request signal to Node Controller one by one, and wait each node control to be received The environmental data of device feedback processed;
2. establishing distribution map: the Node Controller location information stored by the environmental data received, connecting inner, more New environment data profile;
3. calculating controlling value: according to position of each aquaculture pond in environmental data distribution map, obtaining each aquaculture pond Then environmental data calculates heating intensity, feeding period according to the control target value of each aquaculture pond;
4. comparison grouping: breed variety packet data set by user is extracted, by the heating intensity of aquaculture pond, feeding period Data packet compression is at control data;
5. sending instruction: each grouping control data are sent to corresponding Node Controller.
The environmental data includes temperature value and humidity value.
The step 2. in when updating environmental data distribution map, as there is no the last environmental data being calculated in memory Distribution map then creates environmental data distribution map.
The control target value of the aquaculture pond is set by user's batch.
The aquaculture pond control target value of each grouping is consistent.
The step 3. according to the control target value of each aquaculture pond calculate heating intensity, feeding period, calculated using PID Method.
The environmental data distribution map is thermodynamic chart.
The breed variety grouping, one Node Controller of every group of distribution in user grouping setting, and when each setting Packet data is updated in storage inside.
The beneficial effects of the present invention are: by reasonable step setting, can effectively realize to scale aquaculture Multi-step grouping control, efficiently accomplished under the premise of the electronic component cost of the environment measurings such as temperature, humidity is greatly reduced Cultivation control, is particularly based on the mode for updating environmental data distribution map, each aquaculture pond can be realized under conditions of non-straight control PID control, so that being greatly reduced for electronic component cost does not interfere with going on smoothly for cultivation control.
Detailed description of the invention
Fig. 1 is the control system connection schematic diagram that the present invention applies.
Specific embodiment
Be described further below technical solution of the present invention, but claimed range be not limited to it is described.
The present invention provides a kind of automatic control aquatic farm master control platform control method, includes the following steps:
1. receiving environmental data: sending data request signal to Node Controller one by one, and wait each node control to be received The environmental data of device feedback processed;
2. establishing distribution map: the Node Controller location information stored by the environmental data received, connecting inner, more New environment data profile;
3. calculating controlling value: according to position of each aquaculture pond in environmental data distribution map, obtaining each aquaculture pond Then environmental data calculates heating intensity, feeding period according to the control target value of each aquaculture pond;
4. comparison grouping: breed variety packet data set by user is extracted, by the heating intensity of aquaculture pond, feeding period Data packet compression is at control data;
5. sending instruction: each grouping control data are sent to corresponding Node Controller.
The environmental data includes temperature value and humidity value.
The step 2. in when updating environmental data distribution map, as there is no the last environmental data being calculated in memory Distribution map then creates environmental data distribution map.
The control target value of the aquaculture pond is set by user's batch.
The aquaculture pond control target value of each grouping is consistent.
The step 3. according to the control target value of each aquaculture pond calculate heating intensity, feeding period, calculated using PID Method.
The environmental data distribution map is thermodynamic chart.
The breed variety grouping, one Node Controller of every group of distribution in user grouping setting, and when each setting Packet data is updated in storage inside.
Present invention is mainly applied to automatic control aquatic farm control system as shown in Figure 1, the automatic control aquatic farm controls System processed, including master control platform, Node Controller, terminal controller;Master control platform and Node Controller are logical by LoRaWAN module Letter, Node Controller are communicated with terminal controller by LORA module, and Node Controller connects Temperature Humidity Sensor, end-of-pipe control Device connection control heating module and drawing-in device;The quantity of Node Controller and terminal controller is multiple;Multiple end controls Device processed is not to know quantity to the packet mode paired communication of a Node Controller;In master control platform and Node Controller In LoRaWAN communication, master control platform connection control LORA gateway, Node Controller connection control LORA mode is as communication node; During Node Controller and terminal controller are communicated by LORA module, using ad hoc mode.

Claims (8)

1. a kind of automatic control aquatic farm master control platform control method, characterized by the following steps:
1. receiving environmental data: sending data request signal to Node Controller one by one, and wait each Node Controller to be received The environmental data of feedback;
2. establishing distribution map: by the environmental data received, the Node Controller location information of connecting inner storage updates ring Border data profile;
3. calculating controlling value: according to position of each aquaculture pond in environmental data distribution map, obtaining the environment of each aquaculture pond Then data calculate heating intensity, feeding period according to the control target value of each aquaculture pond;
4. comparison grouping: breed variety packet data set by user is extracted, by the heating intensity of aquaculture pond, feeding cycle data It is packed compressed at control data;
5. sending instruction: each grouping control data are sent to corresponding Node Controller.
2. automatic control aquatic farm master control platform control method as described in claim 1, it is characterised in that: the environmental data packet Include temperature value and humidity value.
3. automatic control aquatic farm master control platform control method as described in claim 1, it is characterised in that: the step 2. in more When new environment data profile, as not having the last environmental data distribution map being calculated in memory, then environmental data is created Distribution map.
4. automatic control aquatic farm master control platform control method as described in claim 1, it is characterised in that: the control of the aquaculture pond Target value processed is set by user's batch.
5. automatic control aquatic farm master control platform control method as claimed in claim 4, it is characterised in that: the cultivation of each grouping It is consistent that pond controls target value.
6. automatic control aquatic farm master control platform control method as described in claim 1, it is characterised in that: the step 3. in root Heating intensity, feeding period are calculated according to the control target value of each aquaculture pond, using pid algorithm.
7. automatic control aquatic farm master control platform control method as described in claim 1, it is characterised in that: the environmental data point Butut is thermodynamic chart.
8. automatic control aquatic farm master control platform control method as described in claim 1, it is characterised in that: the breed variety point Group, one Node Controller of every group of distribution in user grouping setting, and packet data is updated when each setting and is deposited in inside Storage.
CN201811289038.XA 2018-10-31 2018-10-31 A kind of automatic control aquatic farm master control platform control method Pending CN109542055A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811289038.XA CN109542055A (en) 2018-10-31 2018-10-31 A kind of automatic control aquatic farm master control platform control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811289038.XA CN109542055A (en) 2018-10-31 2018-10-31 A kind of automatic control aquatic farm master control platform control method

Publications (1)

Publication Number Publication Date
CN109542055A true CN109542055A (en) 2019-03-29

Family

ID=65845656

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811289038.XA Pending CN109542055A (en) 2018-10-31 2018-10-31 A kind of automatic control aquatic farm master control platform control method

Country Status (1)

Country Link
CN (1) CN109542055A (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2515147A2 (en) * 2011-04-20 2012-10-24 Accenture Global Services Limited Capturing environmental information
CN202722285U (en) * 2012-08-16 2013-02-13 昆明理工大学 Aquaculture greenhouse heat supply apparatus
CN205719092U (en) * 2016-05-10 2016-11-23 甘肃省科学院传感技术研究所 Culture environment of aquatic products parameter monitoring system based on wireless sensor network
CN106325181A (en) * 2015-07-06 2017-01-11 湖州庆渔堂农业科技有限公司 Aquaculture monitoring and user remote control method
CN206057854U (en) * 2016-08-31 2017-03-29 苏州市申航生态科技发展股份有限公司 A kind of intelligent aquaculture execution system
CN106603629A (en) * 2016-11-16 2017-04-26 江苏大学 Aquaculture and livestock breeding multi-parameter measurement and control system and method based on IOT (Internet of Things) and GIS
CN106665460A (en) * 2017-01-16 2017-05-17 常州大学 Method and device for green accurate oxygenation control of aquaculture
CN206835259U (en) * 2017-05-10 2018-01-02 广西科技大学 Aquaculture remote monitoring system based on 4G and technology of Internet of things
CN207780639U (en) * 2018-02-01 2018-08-28 中国水产科学研究院淡水渔业研究中心 A kind of aquaculture remote monitoring system based on ZigBee and narrowband Internet of Things

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2515147A2 (en) * 2011-04-20 2012-10-24 Accenture Global Services Limited Capturing environmental information
CN202722285U (en) * 2012-08-16 2013-02-13 昆明理工大学 Aquaculture greenhouse heat supply apparatus
CN106325181A (en) * 2015-07-06 2017-01-11 湖州庆渔堂农业科技有限公司 Aquaculture monitoring and user remote control method
CN205719092U (en) * 2016-05-10 2016-11-23 甘肃省科学院传感技术研究所 Culture environment of aquatic products parameter monitoring system based on wireless sensor network
CN206057854U (en) * 2016-08-31 2017-03-29 苏州市申航生态科技发展股份有限公司 A kind of intelligent aquaculture execution system
CN106603629A (en) * 2016-11-16 2017-04-26 江苏大学 Aquaculture and livestock breeding multi-parameter measurement and control system and method based on IOT (Internet of Things) and GIS
CN106665460A (en) * 2017-01-16 2017-05-17 常州大学 Method and device for green accurate oxygenation control of aquaculture
CN206835259U (en) * 2017-05-10 2018-01-02 广西科技大学 Aquaculture remote monitoring system based on 4G and technology of Internet of things
CN207780639U (en) * 2018-02-01 2018-08-28 中国水产科学研究院淡水渔业研究中心 A kind of aquaculture remote monitoring system based on ZigBee and narrowband Internet of Things

Similar Documents

Publication Publication Date Title
CN105159369B (en) The investigating method and measure and control device of a kind of intelligent Greenhouse
CN106707806B (en) It is a kind of intelligence fisherman precisely feed system
US20150089867A1 (en) Intelligent light sources to enhance plant response
US20140352211A1 (en) Luminaire System, Method, and Apparatus for Optimizing Plant Growth in a Controlled Farming Environment Technological Field
US20100099193A1 (en) System and method for monitoring and controlling quality of culture water and integrated water quality analyzer thereof
CN107173184A (en) A kind of Agricultural Intelligent System irrigation system and method
CN108617355B (en) Irrigation decision method and system for cluster greenhouse
CN105494033B (en) A kind of intelligent water-saving irrigation method based on crop demand
CN106804413A (en) The control method and control device of a kind of nutrient solution
CN105159268A (en) Intelligent agricultural control system and method
CN113994868B (en) Automatic irrigation method and system based on plant growth cycle
CN107392785B (en) Planting parameter regulating and controlling method and planting parameter regulating and controlling device
CN106774556A (en) A kind of intelligent plant conservation system
CN205093309U (en) Fertile irrigation system is given in agricultural feedwater
CN114793671A (en) Method, equipment and medium for breeding indoor plants
CN101866167A (en) Control method and system of EBS (Electronic Brake System) assembly production line
CN109542055A (en) A kind of automatic control aquatic farm master control platform control method
CN113367009A (en) Greenhouse irrigation method and related equipment thereof
KR20190124991A (en) apparatus and method for supplying and regulating nutrient solution
CN208581642U (en) A kind of full growth cycle manuring irrigation system device of crop
CN110094639A (en) A kind of high-precision intelligent Regulation Control device and control method
CN109495554A (en) A kind of automatic control aquatic farm packet node control method
CN104304080A (en) Brooding house heat supply and temperature control method
CN210776353U (en) Automatic control device for plant container seedling
CN210855889U (en) Organic fertilizer fermentation measurement and control system based on NB-Iot

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190329