CN112325942A - Fishpond monitoring and control system based on Internet of things - Google Patents
Fishpond monitoring and control system based on Internet of things Download PDFInfo
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- CN112325942A CN112325942A CN202011233042.1A CN202011233042A CN112325942A CN 112325942 A CN112325942 A CN 112325942A CN 202011233042 A CN202011233042 A CN 202011233042A CN 112325942 A CN112325942 A CN 112325942A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total 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], computer integrated manufacturing [CIM]
- G05B19/4183—Total 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], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total 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], computer integrated manufacturing [CIM]
- G05B19/41845—Total 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], computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total 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], computer integrated manufacturing [CIM]
- G05B19/4185—Total 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], computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/41855—Total 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], computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total 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], computer integrated manufacturing [CIM]
- G05B19/41865—Total 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], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention provides a fishpond monitoring and control system based on the Internet of things, which comprises: the water quality monitoring terminal is used for monitoring and collecting environmental elements of water quality on line and uploading the collected data to the cloud server through the Internet of things transmission terminal in real time; the intelligent control end comprises field operation equipment and a control terminal connected with the field operation equipment, and the control terminal controls the field equipment to operate according to the cloud server instruction and the data acquired by the water quality monitoring end; the cloud server is connected with the control management center and the remote management terminal, the cloud server formulates a control scheme according to the front-end real-time environment data and performs drive control on the intelligent control terminal, and meanwhile, the remote control of the field equipment is achieved through the control management center and the remote management terminal. The invention carries out on-line monitoring on the water quality environment and realizes automatic control and equipment scheduling.
Description
Technical Field
The invention relates to the technical field of fish pond monitoring and control, in particular to a fish pond monitoring and control system based on the Internet of things.
Background
Aquaculture environments need to meet the following requirements:
temperature requirements are as follows: the water temperature can directly influence the metabolic intensity of the fish, thereby influencing the ingestion and growth of the fish, and influencing the gonadal development and the initial spawning time of the fish; the main cultured fishes in the pond of China belong to warm water cyprinid fishes, the adaptive range of the water temperature is 0.5-38 ℃, and the suitable temperature range is 20-32 ℃;
the requirement of pH value: the change of pH can directly influence the effect of pond use fertilizer and the utilization of fish and shrimp to the humus, and the most suitable pH value of general freshwater aquaculture water is 7.5 ~ 8.5, promptly: neutral or slightly alkaline;
the requirement of dissolved oxygen value: the dissolved oxygen condition in water is an important factor influencing the growth speed of cultured fishes and the feed coefficient, the dissolved oxygen of the water body which is required to be not less than 16 hours per day is more than 5mg/L, and the rest time is not less than 3 mg/L;
the transparency requirement is as follows: the transparency is directly related to the water color which marks the fat and thin degree of the attached water and the amount of plankton in the water, and the proper range of the transparency of the pool water is generally 20-35 cm;
in the traditional culture process, water quality measurement and control mainly depend on manual measurement and long-term culture experience, and the quality of aquatic products are influenced due to the lack of a real-time measurement and control means; the traditional pond management and equipment management are mainly realized by manual patrol, the labor intensity of personnel is high, a real-time early warning means is not provided, the equipment fault occurrence rate is high, and the breeding risk is high; due to the weather, when the weather changes suddenly, disasters are frequent, so that the cultivation risk is high, and the potential safety hazard of the quality of aquatic products is prominent. For the reasons mentioned above, the existing aquaculture systems cannot meet the above-mentioned aquaculture environment requirements.
Disclosure of Invention
The invention aims to provide a fishpond monitoring and controlling system based on the Internet of things, which is used for monitoring a water quality environment on line and realizing automatic control and equipment scheduling.
The invention provides the following technical scheme:
a fishpond monitoring and control system based on the Internet of things comprises:
the water quality monitoring terminal is used for monitoring and collecting environmental elements of water quality on line and uploading the collected data to the cloud server through the Internet of things transmission terminal in real time;
the intelligent control end comprises field operation equipment and a control terminal connected with the field operation equipment, and the control terminal controls the field equipment to operate according to the cloud server instruction and the data acquired by the water quality monitoring end;
the cloud server is connected with the control management center and the remote management terminal, the cloud server formulates a control scheme according to the front-end real-time environment data and performs drive control on the intelligent control terminal, and meanwhile, the remote control of the field equipment is achieved through the control management center and the remote management terminal.
Preferably, the water quality monitoring end includes sensor and environment monitor terminal, the sensor includes dissolved oxygen sensor, PH value sensor, ammonia nitrogen content sensor, temperature sensor, level sensor, turbidity sensor and EC value sensor, dissolved oxygen sensor, PH value sensor, ammonia nitrogen content sensor, temperature sensor, level sensor, turbidity sensor and EC value sensor pass through respectively environment monitor terminal uploads in real time and corresponds measurement data collection to cloud ware.
Preferably, the cloud server provides decision support and a statistical report form based on data mining and statistical analysis of the information of the transmission terminal of the internet of things, and dispatches operating equipment in a water quality scene.
Preferably, control terminal is including the power module, host computer module, drive module and the input module who connects gradually, the sensor is connected to the input module, the field operation equipment is connected to the drive module, input module real-time detection quality of water parameter, drive module carries out drive control to field operation equipment, be equipped with motor protection module between drive module and the field operation equipment, the host computer module supports 2G, 3G, 4G, WIFI, the intelligent control under the networking mode and the support non-networking state.
Preferably, the control management center and the remote management terminal remotely control the field operation equipment in real time through the cloud server and can provide timing operation setting, and the field operation equipment is automatically turned on and turned off according to the field environment condition.
Preferably, the cloud server is provided with a prediction model for analyzing data and outputting decision, and the prediction model comprises a pool dissolved oxygen prediction model based on a neural network and a genetic algorithm.
The invention has the beneficial effects that: monitoring the environment (temperature, PH, dissolved oxygen, ammonia nitrogen and the like) of water quality on line; the regulation and control capability and the automatic linkage function in the water quality environment are realized; equipment dispatching and equipment dispatching capacity based on equipment dispatching in a water quality scene; providing decision support and statistical report capability based on data mining and statistical analysis of the information of the Internet of things; the system can automatically control the operation of equipment such as water changing, oxygenation, temperature increasing, feeding and the like according to preset culture conditions, meets the requirements of aquaculture environment conditions, reduces unnecessary loss, can save electricity and reduce production cost.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system architecture of the present invention;
FIG. 2 is a schematic diagram of the implementation principle of the present invention;
FIG. 3 is a schematic diagram of a control terminal according to the present invention;
FIG. 4 is a circuit diagram of a host module according to the present invention.
Detailed Description
As shown in fig. 1 to 3, an internet of things-based fish pond monitoring and control system includes:
the water quality monitoring terminal is used for monitoring and collecting environmental elements of water quality on line and uploading the collected data to the cloud server through the Internet of things transmission terminal in real time;
the intelligent control end comprises field operation equipment and a control terminal connected with the field operation equipment, and the control terminal controls the field equipment to operate according to the cloud server instruction and the data acquired by the water quality monitoring end;
the cloud server is connected with the control management center and the remote management terminal, the cloud server formulates a control scheme according to the front-end real-time environment data and performs drive control on the intelligent control terminal, and meanwhile, the remote control of the field equipment is achieved through the control management center and the remote management terminal.
As shown in fig. 1, the water quality monitoring end comprises a sensor and an environment monitoring terminal, the sensor comprises a dissolved oxygen sensor, a PH value sensor, an ammonia nitrogen content sensor, a temperature sensor, a liquid level sensor, a turbidity sensor and an EC value sensor, and the dissolved oxygen sensor, the PH value sensor, the ammonia nitrogen content sensor, the temperature sensor, the liquid level sensor, the turbidity sensor and the EC value sensor respectively upload corresponding measurement and acquisition data to the cloud server through the environment monitoring terminal in real time; the cloud server provides decision support and a statistical report form based on data mining and statistical analysis of the transmission terminal information of the Internet of things, and dispatches running equipment in a water quality scene; the control management center and the remote management terminal remotely control the field operation equipment in real time through the cloud server, can provide timing operation setting, and automatically turn on and turn off the field operation equipment according to the field environment condition.
As shown in fig. 1 and 2, the front-end intelligent hardware uploads data to a cloud platform in real time through a wireless network, the cloud server is provided with a prediction model for analyzing and decision-making output of the data, and the prediction model comprises a pond dissolved oxygen prediction model based on a neural network and a genetic algorithm. Aquaculture ponds are a multivariable, nonlinear and large time delay system where the prediction of dissolved oxygen is also a complex problem. The dissolved oxygen prediction model GA-LM based on the Levenberg-Marquardt (LM) neural network and the Genetic Algorithm (GA) is more accurate in prediction and obviously reduced in running time. And the cloud platform appoints the most control scheme according to the implementation environment data uploaded by the front-end intelligent hardware, finally carries out decision output, and executes and controls the field operation equipment to carry out corresponding switch operation.
As shown in fig. 3 and 4, the control terminal includes a power module, a host module, a driving module and an input module, which are connected in sequence, wherein the input module is connected with a sensor, and supports different sensors of dissolved oxygen, water temperature, PH, turbidity and the like, so as to realize real-time detection of water quality parameters; the driving module is connected with the field operation equipment, the driving module is used for driving and controlling the field operation equipment and comprises a driving control of fishery equipment such as an aerator, a batch feeder, a water pump and the like, and a motor protection module is arranged between the driving module and the field operation equipment and has the functions of electric leakage, defect and overload protection; the system adopts a modular design, different modules are connected through RS485, different modules can be designed according to actual needs and can be expanded at will, and the host module supports 2G, 3G, 4G, WIFI and Etnernet networking modes and supports intelligent control in a non-networking state to adapt to different network environment deployment requirements.
A fishpond monitoring and control system based on the Internet of things has the advantages of oxygen increasing as required, electricity saving, good water quality, feed saving, scientific water transfer, yield improvement, intelligent control, floating head rate reduction, full-scale management and control, automatic control, multiple protection, asset safety guarantee and the like.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The utility model provides a pond monitoring and control system based on thing networking which characterized in that includes:
the water quality monitoring terminal is used for monitoring and collecting environmental elements of water quality on line and uploading the collected data to the cloud server through the Internet of things transmission terminal in real time;
the intelligent control end comprises field operation equipment and a control terminal connected with the field operation equipment, and the control terminal controls the field equipment to operate according to the cloud server instruction and the data acquired by the water quality monitoring end;
the cloud server is connected with the control management center and the remote management terminal, the cloud server formulates a control scheme according to the front-end real-time environment data and performs drive control on the intelligent control terminal, and meanwhile, the remote control of the field equipment is achieved through the control management center and the remote management terminal.
2. The fishpond monitoring and control system based on the Internet of things according to claim 1, wherein the water quality monitoring end comprises a sensor and an environment monitoring terminal, the sensor comprises a dissolved oxygen sensor, a pH value sensor, an ammonia nitrogen content sensor, a temperature sensor, a liquid level sensor, a turbidity sensor and an EC value sensor, and the dissolved oxygen sensor, the pH value sensor, the ammonia nitrogen content sensor, the temperature sensor, the liquid level sensor, the turbidity sensor and the EC value sensor respectively upload corresponding measurement acquisition data to a cloud server through the environment monitoring terminal in real time.
3. The internet-of-things-based fish pond monitoring and control system according to claim 1, wherein the cloud server provides decision support and statistical reports based on data mining and statistical analysis of internet-of-things transmission terminal information, and schedules and dispatches operating equipment in a water quality scene.
4. The fishpond monitoring and control system based on the Internet of things is characterized in that the control terminal comprises a power module, a host module, a driving module and an input module which are sequentially connected, the input module is connected with a sensor, the driving module is connected with field operation equipment, the input module detects water quality parameters in real time, the driving module drives and controls the field operation equipment, a motor protection module is arranged between the driving module and the field operation equipment, and the host module supports 2G, 3G, 4G, WIFI and NeEtrnet networking modes and supports intelligent control in a non-networking state.
5. The internet of things-based fish pond monitoring and control system according to claim 1, wherein the control management center and the remote management terminal remotely control the field operation equipment in real time through a cloud server and can provide timing operation settings, and the field operation equipment is automatically turned on and off according to field environment conditions.
6. The internet of things-based fish pond monitoring and control system according to claim 1, wherein the cloud server is provided with a prediction model for analyzing data and outputting decision-making, and the prediction model comprises a pond dissolved oxygen prediction model based on a neural network and a genetic algorithm.
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Cited By (3)
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|---|---|---|---|---|
| CN112931318A (en) * | 2021-03-25 | 2021-06-11 | 浙江大学 | Intelligent aquaculture management system for ocean large yellow croakers with edge cloud coordination |
| CN114240686A (en) * | 2022-02-24 | 2022-03-25 | 深圳市旗扬特种装备技术工程有限公司 | Wisdom fishery monitoring system |
| CN115145336A (en) * | 2022-06-17 | 2022-10-04 | 广州铁路职业技术学院（广州铁路机械学校） | Method and system for detecting and controlling water quality of fishpond |
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