CN114326888A - Aquaculture online real-time monitoring system based on Internet of things - Google Patents
Aquaculture online real-time monitoring system based on Internet of things Download PDFInfo
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Abstract
The invention discloses an Internet of things-based aquaculture online real-time monitoring system, which aims to solve the technical problems that in the prior art, the indexes of water quality detection are few, the water quality cannot be guaranteed, and the normal growth of aquatic products in a culture water area is influenced, so that the yield of aquaculture can be reduced, and the culture efficiency cannot be guaranteed to the maximum extent. The monitoring system comprises a data acquisition equipment end and a monitoring platform which is deployed under the same network with the data acquisition equipment end. This monitored control system utilizes the water level in the data acquisition equipment end adoption breed water territory, dissolved oxygen, the temperature, PH, ammonia nitrogen and sodium nitrite data, thereby guarantee to breed the growth that quality of water more is fit for the aquatic products in the water territory, thereby improve the output of breeding, judge through data intelligent monitoring module whether water level, dissolved oxygen, the temperature, PH, ammonia nitrogen and sodium nitrite numerical value are in standard range, in time send warning information to the user, be convenient for carry out corresponding regulation, thereby make the growth that the waters of breeding is more fit for the aquatic products.
Description
Technical Field
The invention belongs to the technical field of aquaculture through the Internet of things, and particularly relates to an online real-time monitoring system for aquaculture based on the Internet of things.
Background
The Internet of things aquaculture is developed based on Internet of things technologies such as intelligent sensing, wireless sensing network, communication, intelligent processing and intelligent control, real-time online monitoring and accurate regulation and control of the aquaculture process are achieved, the informatization, automation and intelligentization levels of a farm are greatly improved, the resource utilization rate and the management efficiency are improved, and the yield of aquaculture is improved.
At present, the invention patent with patent number CN201710321087.6 discloses an aquaculture monitoring system, which comprises: at least one water quality parameter acquisition device for acquiring water quality parameters of a plurality of predetermined zones, cruising above the water surface in an aquaculture area. Wherein, different predetermined areas correspond to different aquaculture species; the oxygenation control equipment is respectively arranged in each preset area and used for carrying out oxygenation on the preset area; and the monitoring center is respectively in communication connection with the water quality parameter acquisition equipment and the oxygenation control equipment and is used for sending a control instruction. The control instruction comprises a first control instruction for controlling the water quality parameter acquisition equipment to cruise in an area, and a second control instruction for generating a working state for controlling the oxygenation control equipment corresponding to a preset area according to the water quality parameters of the preset area, and the monitoring center comprises a field monitoring center and a remote monitoring center. The system adopts different preset areas corresponding to different aquaculture species to realize automatic adjustment of water quality parameters, but the system has less indexes for water quality detection, water quality cannot be guaranteed, and normal growth of aquatic products in aquaculture water areas is influenced, so that the yield of aquaculture can be reduced, and the aquaculture efficiency cannot be guaranteed to the maximum.
Therefore, in order to solve the problem that the water quality reduces the cultivation yield, it is necessary to improve the use scenario of the monitoring system.
Disclosure of Invention
(1) Technical problem to be solved
Aiming at the defects of the prior art, the invention aims to provide an Internet of things-based aquaculture online real-time monitoring system, which aims to solve the technical problems that in the prior art, the indexes of water quality detection are few, the water quality cannot be guaranteed, and the normal growth of aquatic products in a culture water area is influenced, so that the yield of aquaculture can be reduced, and the culture efficiency cannot be guaranteed to the maximum degree.
(2) Technical scheme
In order to solve the technical problems, the invention provides an aquaculture online real-time monitoring system based on the internet of things, which comprises a data acquisition equipment end and a monitoring platform, wherein the monitoring platform and the data acquisition equipment end are deployed in the same network; wherein the content of the first and second substances,
the system comprises a data acquisition equipment end, a monitoring platform and a data acquisition equipment end, wherein the data acquisition equipment end is used for acquiring various data in a culture water area and uploading the acquired data to the monitoring platform, the data acquisition equipment end comprises a dissolved oxygen sensor for measuring the dissolved oxygen amount in the culture water area, a water level sensor for measuring real-time water level data in the culture water area, a real-time temperature data temperature sensor for measuring real-time temperature data in the culture water area, a water quality pH sensor for detecting the pH value of water quality in the culture water area, an ammonia nitrogen sensor for detecting ammonia nitrogen data in the culture water area and a nitrite sensor for detecting nitrite data in the culture water area, and the dissolved oxygen sensor, the water level sensor, the temperature sensor, the water quality pH sensor, the ammonia nitrogen sensor and the nitrite sensor transmit the acquired data to the monitoring platform through wifi;
the monitoring platform comprises a login module, a data transmission module, a data processing module, a data intelligent monitoring module, a warning sending module, a data storage module and a setting module, wherein the login conditions of the login module comprise: the data processing device comprises an account and a password, the data transmission module is used for receiving data collected by a data collection device end, the data transmission module comprises a first LC filter, a second LC filter, a low noise amplifier, a mixer, an intermediate frequency filter, an amplitude limiter, a digital filter and a data limiter, the data processing module comprises an analog-to-digital conversion unit and a data sorting unit, the analog-to-digital conversion unit is used for converting an analog signal into a digital signal, the analog-to-digital conversion unit comprises a sequential pulse generator, a successive approximation register, a D/A converter and a voltage comparator, and the data sorting unit is pre-loaded with a weighting unitSmoothing algorithm with algorithm X =
(1-a) + Z a, an early warning algorithm is arranged in the data intelligent monitoring module: comparing the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH with corresponding threshold values respectively, if so, determining whether the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH are equal to the threshold values
≤X≤
If not, the water level value is abnormal; if it is
≤R≤
If not, the dissolved oxygen value is abnormal; if it is
≤W≤
If the temperature is normal, judging that the temperature value is abnormal; if it is
≤PH≤
If not, the PH value is abnormal; if it is
≤PH≤
Judging that the ammonia nitrogen is normal, and if not, judging that the ammonia nitrogen value is abnormal; if it is
≤PH≤
If not, the nitrite value is abnormal; the warning sending module sends corresponding warning information to a mobile phone of a warning information receiver according to the result of the data intelligent monitoring module, the data storage module is used for storing water level, dissolved oxygen, temperature, PH, ammonia nitrogen and nitrite data, the setting module comprises a newly added unit and a parameter setting unit, and items set by the parameter setting unit comprise the warning information receiver, sampling frequency
And an early warning threshold, wherein the sampling frequency
Including water level sampling frequency
Dissolved oxygen sampling frequency
Temperature sampling frequency
PH sampling frequency
Ammonia nitrogen sampling frequency
And nitrite sampling frequency
Wherein the early warning threshold value comprises a water level weight value
Oxygen dissolving weight
Temperature weight
PH weight
Upper limit of water level
Lower limit of water level
Upper limit of dissolved oxygen
Lower limit of dissolved oxygen
Upper limit of temperature
Lower limit value of temperature
Upper limit of pH
Lower limit of pH
Upper limit of ammonia nitrogen
Upper limit of ammonia nitrogen
Upper limit of nitrite
And nitrite lower limit
。
Preferably, a login failure popup window is preset in the login module, and the contents of the login failure popup window are as follows: and if the account number or the password is wrong, please retry, wherein the display time of the login failure popup is 1 s.
Preferably, the specific process of converting the analog quantity into the digital quantity by the analog-to-digital conversion unit is as follows:
1) firstly, resetting a successive approximation register;
2) the sequence pulse generator sets the highest position of the successive approximation register to 1, so that the output numbers are 100, 99, 98, … and 0;
3) conversion of input analog quantities into corresponding analog voltages
Is sent to a voltage comparator and
make a comparison if
Clear the highest bit 1, if
Keeping the highest 1;
4) setting the next highest position as 1, repeating the step 3), and judging whether the 1 of the next highest position is reserved;
5) and repeating the step 4) to compare sequentially until the lowest bit, and finally, the state in the successive approximation register is the required digital quantity output.
Preferably, X is a new value in the data marshalling unit,
is an old value, Z is the latest data, a is water level, dissolved oxygen,Temperature, PH, ammonia nitrogen and nitrite.
Preferably, 12 warning messages are provided, and the contents of the warning messages are respectively: if the water level is too high, please treat; if the water level is too low, please treat; if the dissolved oxygen value is too high, please treat; if the dissolved oxygen value is too low, please treat; if the temperature value is too high, please process; if the temperature value is too low, processing is required; if the pH value is too high, please treat; if the pH value is too low, please treat; treating if the ammonia nitrogen value is too high; treating if the ammonia nitrogen value is too low; if the nitrite value is too high, please treat; if the nitrite value is too low, please treat it.
Preferably, the work flow of the data transmission module is as follows: after the signals are received by the antenna, the signals enter the low-noise amplifier through the first LC filter, weak signals are amplified, the weak signals are filtered through the second LC filter, then the weak signals enter the mixer for frequency mixing, the mixed signals enter the amplitude limiter through the intermediate frequency filter, and then the signals are further decoded through the data filter and the data limiter.
Preferably, the content filled by the newly added unit comprises a mandatory item and an optional item, wherein the mandatory item comprises an account number, a password, a mobile phone number and a gender, and the optional item comprises a name, an age and a family address.
Preferably, the sampling frequency
Wherein
Refers to the highest frequency that needs to be analyzed,
including maximum analysis frequency of water level
Maximum analysis frequency of dissolved oxygen
Maximum temperature analysis frequency
Maximum analytical pH
Maximum analysis frequency of ammonia nitrogen
And maximum frequency of nitrite analysis
。
(3) Advantageous effects
Compared with the prior art, the invention has the beneficial effects that: the monitoring system provided by the invention utilizes the data acquisition equipment end to adopt the water level, dissolved oxygen, temperature, PH, ammonia nitrogen and sodium nitrite data in the aquaculture water area, so that the water quality in the aquaculture water area is more suitable for the growth of aquatic products, the aquaculture yield is improved, the data intelligent monitoring module is used for judging whether the water level, dissolved oxygen, temperature, PH, ammonia nitrogen and sodium nitrite values are in a standard range, and when the water quality is abnormal, warning information is timely sent to a user, so that the corresponding adjustment is convenient to be timely carried out, and the aquaculture water area is more suitable for the growth of aquatic products.
Drawings
FIG. 1 is a schematic diagram of an overall framework of one embodiment of a monitoring system of the present invention;
FIG. 2 is a block diagram of a data transmission module according to an embodiment of the present invention;
FIG. 3 is a block diagram of a data processing module according to an embodiment of the present invention;
FIG. 4 is a diagram of a framework for installing modules in a monitoring system according to an embodiment of the present invention.
Detailed Description
Example 1
The specific embodiment is an aquaculture online real-time monitoring system based on the internet of things, the overall frame structure schematic diagram of the system is shown in fig. 1, the data transmission module frame structure schematic diagram of the system is shown in fig. 2, and the monitoring system comprises a data acquisition equipment end and a monitoring platform which is deployed in the same network with the data acquisition equipment end;
the system comprises a data acquisition equipment end, a monitoring platform and a data acquisition equipment end, wherein the data acquisition equipment end is used for acquiring various data in a culture water area and uploading the acquired data to the monitoring platform, the data acquisition equipment end comprises a dissolved oxygen sensor for measuring the dissolved oxygen amount in the culture water area, a water level sensor for measuring real-time water level data in the culture water area, a real-time temperature data temperature sensor for measuring real-time temperature data in the culture water area, a water quality PH sensor for detecting the pH value of water in the culture water area, an ammonia nitrogen sensor for detecting ammonia nitrogen data in the culture water area, a nitrite sensor for detecting nitrite data in the culture water area, the dissolved oxygen sensor, the water level sensor, the temperature sensor, the water quality PH sensor, the ammonia nitrogen sensor and the nitrite sensor transmit the acquired data to the monitoring platform through wifi;
the monitoring platform comprises a login module, a data transmission module, a data processing module, a data intelligent monitoring module, a warning sending module, a data storage module and a setting module, wherein the login condition of the login module comprises: the data processing device comprises an account and a password, a data transmission module, a data processing module and a data sorting unit, wherein the data transmission module is used for receiving data collected by a data collection device end, the data transmission module comprises a first LC filter, a second LC filter, a low noise amplifier, a frequency mixer, an intermediate frequency filter, an amplitude limiter, a digital filter and a data limiter, the data processing module comprises an analog-to-digital conversion unit and a data sorting unit, the analog-to-digital conversion unit is used for converting an analog signal into a digital signal, the analog-to-digital conversion unit comprises a sequential pulse generator, a successive approximation register, a D/A converter and a voltage comparator, a weighting smoothing algorithm is pre-installed in the data sorting unit, and the algorithm is X =
(1-a) + Z a, an early warning algorithm is arranged in the data intelligent monitoring module: comparing the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH with corresponding threshold values respectively, if so, determining whether the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH are equal to the threshold values
≤X≤
If not, the water level value is abnormal; if it is
≤R≤
If not, the dissolved oxygen value is abnormal; if it is
≤W≤
If the temperature is normal, judging that the temperature value is abnormal; if it is
≤PH≤
If not, the PH value is abnormal; if it is
≤PH≤
Judging that the ammonia nitrogen is normal, and if not, judging that the ammonia nitrogen value is abnormal; if it is
≤PH≤
If not, the nitrite value is abnormal; the warning sending module sends the warning information to a warning information receiver according to the result of the data intelligent monitoring moduleThe mobile phone sends corresponding warning information, the data storage module is used for storing water level, dissolved oxygen, temperature, PH, ammonia nitrogen and nitrite data, the setting module comprises a newly added unit and a parameter setting unit, and items set by the parameter setting unit comprise a warning information receiver and sampling frequency
And an early warning threshold, wherein the sampling frequency
Including water level sampling frequency
Dissolved oxygen sampling frequency
Temperature sampling frequency
PH sampling frequency
Ammonia nitrogen sampling frequency
And nitrite sampling frequency
Wherein the early warning threshold value comprises a water level weight value
Oxygen dissolving weight
Temperature weight
PH weight
Upper limit of water level
Lower limit of water level
Upper limit of dissolved oxygen
Lower limit of dissolved oxygen
Upper limit of temperature
Lower limit value of temperature
Upper limit of pH
Lower limit of pH
Upper limit of ammonia nitrogen
Upper limit of ammonia nitrogen
Upper limit of nitrite
And nitrite lower limit
。
Wherein, the login module is internally preset with a login failure popup window, and the contents are as follows: the method comprises the following specific processes that an account or a password is wrong, retry is requested, the display time of a login failure popup window is 1s, and an analog-to-digital conversion unit converts an analog quantity into a digital quantity:
1) firstly, resetting a successive approximation register;
2) the sequence pulse generator sets the highest position of the successive approximation register to 1, so that the output numbers are 100, 99, 98, … and 0;
3) conversion of input analog quantities into corresponding analog voltages
Is sent to a voltage comparator and
make a comparison if
Clear the highest bit 1, if
Keeping the highest 1;
4) setting the next highest position as 1, repeating the step 3), and judging whether the 1 of the next highest position is reserved;
5) and repeating the step 4) to compare sequentially until the lowest bit, and finally, the state in the successive approximation register is the required digital quantity output.
Meanwhile, X in the data sorting unit is a new value,
for old value, Z is newest data, and a is the corresponding weight that water level, dissolved oxygen, temperature, PH, ammonia nitrogen, nitrite set up, and warning information is provided with 12, and warning information's content is respectively: if the water level is too high, please treat; if the water level is too low, please treat; if the dissolved oxygen value is too high, please treat; if the dissolved oxygen value is too low, please treat; if the temperature value is too high, please process; if the temperature value is too low, processing is required; if the pH value is too high, please treat; if the pH value is too low, please treat; treating if the ammonia nitrogen value is too high; treating if the ammonia nitrogen value is too low; if the nitrite value is too high, please treat; if the nitrite value is too low, please treat it.
In addition, the work flow of the data transmission module is as follows: after the signals are received by the antenna, the signals enter the low noise amplifier through the first LC filter, weak signals are amplified, the signals are filtered through the second LC filter, then the signals enter the mixer for frequency mixing, the models after frequency mixing enter the amplitude limiter through the intermediate frequency filter, the signals are further decoded through the data filter and the data limiter, the contents filled in by the newly added unit comprise mandatory items and optional items, the mandatory items comprise account numbers, passwords, numbers and sexes, and the optional items comprise names, ages and home addresses.
In addition, the sampling frequency
Wherein
Refers to the highest frequency that needs to be analyzed,
including maximum analysis frequency of water level
Maximum analysis frequency of dissolved oxygen
Maximum temperature analysis frequency
Maximum analytical pH
Maximum analysis frequency of ammonia nitrogen
And maximum frequency of nitrite analysis
。
The frame structure diagram of the data processing module in the monitoring system is shown in fig. 3, and the frame structure diagram of the setting module is shown in fig. 4.
When the monitoring system of the technical scheme is used, the corresponding water level sampling frequency is set
Dissolved oxygen sampling frequency
Temperature sampling frequency
PH sampling frequency
Ammonia nitrogen
Nitrite salt
Wherein the early warning threshold value comprises a water level weight value
Oxygen dissolving weight
Temperature weight
PH weight
Upper limit of water level
Lower limit of water level
Upper limit of dissolved oxygen
Lower limit of dissolved oxygen
Upper limit of temperature
Lower limit value of temperature
Upper limit of pH
Lower limit of pH
Upper limit of ammonia nitrogen
Upper limit of ammonia nitrogen
Upper limit of nitrite
And nitrite lower limit
The system comprises a dissolved oxygen sensor, a water level sensor, a temperature sensor, a water quality PH sensor, an ammonia nitrogen sensor and a nitrite sensor, wherein the dissolved oxygen sensor, the water level sensor, the temperature sensor, the water quality PH sensor, the ammonia nitrogen sensor and the nitrite sensor are used for collecting dissolved oxygen, water level, temperature, PH, ammonia nitrogen and nitrite data in a culture water area and transmitting the collected data to a monitoring platform through wifi, after a signal of a data transmission module is received through an antenna, the signal enters a low noise amplifier through a first LC filter, a weak signal is amplified, the signal is filtered through a second LC filter and then enters a mixer for frequency mixing, the model after frequency mixing enters an amplitude limiter through a medium frequency filter,and further decoding by a data filter and a data limiter, wherein the specific process of converting the analog quantity into the digital quantity by the analog-to-digital conversion unit comprises the following steps: 1) firstly, resetting a successive approximation register; 2) the sequence pulse generator sets the highest position of the successive approximation register to 1, so that the output numbers are 100, 99, 98, … and 0; 3) conversion of input analog quantities into corresponding analog voltages
Is sent to a voltage comparator and
make a comparison if
Clear the highest bit 1, if
Keeping the highest 1; 4) setting the next highest position as 1, repeating the step 3), and judging whether the 1 of the next highest position is reserved; 5) repeating the step 4), comparing sequentially until the lowest bit, and finally obtaining the state in the successive approximation register as the required digital quantity output through a weighted smoothing algorithm X =
(1-a) + Z a, arrange the sensor data in order, be provided with the early warning algorithm in the data intelligent monitoring module: comparing the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH with corresponding threshold values respectively, if so, determining whether the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH are equal to the threshold values
≤X≤
If not, the water level value is abnormal; if it is
≤R≤
If not, the dissolved oxygen value is abnormal; if it is
≤W≤
If the temperature is normal, judging that the temperature value is abnormal; if it is
≤PH≤
If not, the PH value is abnormal; if it is
≤PH≤
Judging that the ammonia nitrogen is normal, and if not, judging that the ammonia nitrogen value is abnormal; if it is
≤PH≤
If not, the nitrite value is abnormal; the warning sending module sends corresponding warning information to a mobile phone of a warning information receiver according to the result of the data intelligent monitoring module, and the water level, dissolved oxygen, temperature, PH, ammonia nitrogen and nitrite data are stored in the data storage module.
Claims (8)
1. An aquaculture online real-time monitoring system based on the Internet of things comprises a data acquisition equipment end and a monitoring platform which is deployed in the same network with the data acquisition equipment end; it is characterized in that the preparation method is characterized in that,
the system comprises a data acquisition equipment end, a monitoring platform and a data acquisition equipment end, wherein the data acquisition equipment end is used for acquiring various data in a culture water area and uploading the acquired data to the monitoring platform, the data acquisition equipment end comprises a dissolved oxygen sensor for measuring the dissolved oxygen amount in the culture water area, a water level sensor for measuring real-time water level data in the culture water area, a real-time temperature data temperature sensor for measuring real-time temperature data in the culture water area, a water quality pH sensor for detecting the pH value of water quality in the culture water area, an ammonia nitrogen sensor for detecting ammonia nitrogen data in the culture water area and a nitrite sensor for detecting nitrite data in the culture water area, and the dissolved oxygen sensor, the water level sensor, the temperature sensor, the water quality pH sensor, the ammonia nitrogen sensor and the nitrite sensor transmit the acquired data to the monitoring platform through wifi;
the monitoring platform comprises a login module, a data transmission module, a data processing module, a data intelligent monitoring module, a warning sending module, a data storage module and a setting module, wherein the login conditions of the login module comprise: the data processing device comprises a data processing module, a data transmission module and a data sorting unit, wherein the data transmission module is used for receiving data acquired by a data acquisition device end, the data transmission module comprises a first LC filter, a second LC filter, a low noise amplifier, a mixer, an intermediate frequency filter, an amplitude limiter, a digital filter and a data limiter, the data processing module comprises an analog-to-digital conversion unit and a data sorting unit, the analog-to-digital conversion unit is used for converting an analog signal into a digital signal, the analog-to-digital conversion unit comprises a sequential pulse generator, a successive approximation register, a D/A converter and a voltage comparator, the data sorting unit is pre-loaded with a weighted smoothing algorithm, and the algorithm is X =
(1-a) + Z a, an early warning algorithm is arranged in the data intelligent monitoring module: comparing the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH with corresponding threshold values respectively, if so, determining whether the water level value X, the dissolved oxygen value R, the temperature value W and the PH value PH are equal to the threshold values
≤X≤
If not, the water level value is abnormal; if it is
≤R≤
If not, the dissolved oxygen value is abnormal; if it is
≤W≤
If the temperature is normal, judging that the temperature value is abnormal; if it is
≤PH≤
If not, the PH value is abnormal; if it is
≤PH≤
Judging that the ammonia nitrogen is normal, and if not, judging that the ammonia nitrogen value is abnormal; if it is
≤PH≤
If not, the nitrite value is abnormal; the warning sending module sends the warning according to the result of the data intelligent monitoring moduleThe mobile phone of the information receiver sends corresponding warning information, the data storage module is used for storing water level, dissolved oxygen, temperature, PH, ammonia nitrogen and nitrite data, the setting module comprises a newly added unit and a parameter setting unit, and items set by the parameter setting unit comprise the warning information receiver, sampling frequency
And an early warning threshold, wherein the sampling frequency
Including water level sampling frequency
Dissolved oxygen sampling frequency
Temperature sampling frequency
PH sampling frequency
Ammonia nitrogen sampling frequency
And nitrite sampling frequency
Wherein the early warning threshold value comprises a water level weight value
Oxygen dissolving weight
Temperature weight
PH weight
Upper limit of water level
Lower limit of water level
Upper limit of dissolved oxygen
Lower limit of dissolved oxygen
Upper limit of temperature
Lower limit value of temperature
Upper limit of pH
Lower limit of pH
Upper limit of ammonia nitrogen
Upper limit of ammonia nitrogen
Upper limit of nitrite
And nitrite lower limit
。
2. The internet-of-things-based aquaculture online real-time monitoring system according to claim 1, wherein login failure popup windows are preset in the login module, and the contents are as follows: and if the account number or the password is wrong, please retry, wherein the display time of the login failure popup is 1 s.
3. The internet-of-things-based aquaculture online real-time monitoring system according to claim 1, wherein the specific process of converting analog quantity into digital quantity by the analog-to-digital conversion unit is as follows:
1) firstly, resetting a successive approximation register;
2) the sequence pulse generator sets the highest position of the successive approximation register to 1, so that the output numbers are 100, 99, 98, … and 0;
3) conversion of input analog quantities into corresponding analog voltages
Is sent to a voltage comparator and
make a comparison if
Clear the highest bit 1, if
Keeping the highest 1;
4) setting the next highest position as 1, repeating the step 3), and judging whether the 1 of the next highest position is reserved;
5) and repeating the step 4) to compare sequentially until the lowest bit, and finally, the state in the successive approximation register is the required digital quantity output.
4. The Internet of things-based aquaculture online real-time monitoring system according to claim 1, wherein X in the data sorting unit is a new value,
is the old value, Z is the latest data, a is the corresponding weight set for water level, dissolved oxygen, temperature, PH, ammonia nitrogen and nitrite.
5. The internet-of-things-based aquaculture online real-time monitoring system according to claim 1, wherein 12 warning messages are provided, and the contents of the warning messages are respectively as follows: if the water level is too high, please treat; if the water level is too low, please treat; if the dissolved oxygen value is too high, please treat; if the dissolved oxygen value is too low, please treat; if the temperature value is too high, please process; if the temperature value is too low, processing is required; if the pH value is too high, please treat; if the pH value is too low, please treat; treating if the ammonia nitrogen value is too high; treating if the ammonia nitrogen value is too low; if the nitrite value is too high, please treat; if the nitrite value is too low, please treat it.
6. The Internet of things-based aquaculture online real-time monitoring system according to claim 1, wherein the data transmission module has a workflow as follows: after the signals are received by the antenna, the signals enter the low-noise amplifier through the first LC filter, weak signals are amplified, the weak signals are filtered through the second LC filter, then the weak signals enter the mixer for frequency mixing, the mixed signals enter the amplitude limiter through the intermediate frequency filter, and then the signals are further decoded through the data filter and the data limiter.
7. The internet-of-things-based aquaculture online real-time monitoring system as claimed in claim 1, wherein the content filled by the newly added unit comprises mandatory items and optional items, wherein the mandatory items comprise an account number, a password, a mobile phone number and gender, and the optional items comprise a name, an age and a home address.
8. The Internet of things-based aquaculture online real-time monitoring system of claim 1, wherein the sampling frequency is set according to the current demand
Wherein
Refers to the highest frequency that needs to be analyzed,
including maximum analysis frequency of water level
Maximum analysis frequency of dissolved oxygen
Maximum temperature analysis frequency
Maximum analytical pH
Maximum analysis frequency of ammonia nitrogen
And maximum frequency of nitrite analysis
。
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115240793A (en) * | 2022-09-23 | 2022-10-25 | 广东省农业科学院动物科学研究所 | Method and system for treating aquaculture water body by using biological activated carbon |
| CN115616183A (en) * | 2022-11-29 | 2023-01-17 | 深圳市猫头鹰智慧科技有限公司 | Water quality monitoring and early warning system for aquaculture |
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