CN112965554A - Intelligent aquatic product seafood pool control method, system and terminal based on Internet of things - Google Patents

Intelligent aquatic product seafood pool control method, system and terminal based on Internet of things Download PDF

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CN112965554A
CN112965554A CN202110121663.9A CN202110121663A CN112965554A CN 112965554 A CN112965554 A CN 112965554A CN 202110121663 A CN202110121663 A CN 202110121663A CN 112965554 A CN112965554 A CN 112965554A
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fish
aquatic product
information
acquiring
temperature
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CN112965554B (en
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周炎时
杨亚非
周龙根
毛国珍
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Suzhou Longshihuida Commercial Equipment Co ltd
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Suzhou Longshihuida Commercial Equipment Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D27/00Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
    • G05D27/02Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K61/00Culture of aquatic animals
    • A01K61/10Culture of aquatic animals of fish
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K61/00Culture of aquatic animals
    • A01K61/80Feeding devices
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K63/00Receptacles for live fish, e.g. aquaria; Terraria
    • A01K63/04Arrangements for treating water specially adapted to receptacles for live fish
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9035Filtering based on additional data, e.g. user or group profiles
    • 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
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/80Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
    • Y02A40/81Aquaculture, e.g. of fish

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  • Environmental Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Marine Sciences & Fisheries (AREA)
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  • Zoology (AREA)
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  • General Physics & Mathematics (AREA)
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  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Farming Of Fish And Shellfish (AREA)

Abstract

The application relates to an intelligent aquatic product seafood pool control method, system and terminal based on the Internet of things, and belongs to the field of fish culture, wherein the method comprises the steps of obtaining fish information input by a user aiming at a current aquatic product seafood pool, and generating a culture fish list according to the fish information; acquiring optimal survival environment information corresponding to various cultured fishes in the aquatic product seafood pond according to the cultured fish species information; calculating and acquiring suggested feeding data; integrating the optimal temperature data and the recommended feeding data to generate a breeding recommendation report, and feeding the breeding recommendation report back to the user terminal; obtaining the culture environment parameters set by a user aiming at the current aquatic product seafood pool; acquiring actual environmental parameters of the current aquatic product seafood pool; and judging whether the culture environment parameters are consistent with the actual environment parameters, and if not, generating an adjusting instruction. This application has the effect that improves the survival rate of breeding the fish.

Description

Intelligent aquatic product seafood pool control method, system and terminal based on Internet of things
Technical Field
The application relates to the technical field of fish culture, in particular to an intelligent aquatic product seafood pool control method, system and terminal based on the Internet of things.
Background
Aquaculture refers to the production process in which aquatic products undergo activities such as growth, development and reproduction under human intervention and are harvested periodically. In aquaculture, an aquatic product seafood pool is a common aquaculture device, and aquaculture conditions provided by the aquaculture device have great influence on the quality and yield of aquatic products. When retailers such as supermarkets sell aquatic products, the aquatic products are usually cultured in aquatic product seafood ponds in order to ensure the freshness of the aquatic products, so that users can buy fresh aquatic products.
The existing manufacturing technology of the aquatic product seafood pool is mature day by day, in order to improve the survival probability of the cultured fish in the aquatic product seafood pool, the aquatic product seafood pool is usually provided with various auxiliary devices such as an oxygen increasing device, a temperature control device, a purification device and the like, and a user can adjust the environment of the aquatic product seafood pool according to the cultured aquatic product, so that the survival rate of the cultured fish is improved.
In view of the above-mentioned related art, the inventor thinks that when using the aquatic products seafood pond, adjust the environment in the aquatic products seafood pond according to manual observation usually to work such as changing water, oxygenating to the aquatic products seafood pond by experience, but not accurate enough to the control of the farming environment in the aquatic products seafood pond, lead to the survival rate of user's breed fish when breeding the aquatic products lower.
Disclosure of Invention
In order to improve the survival rate of cultured fish, the application provides an intelligent aquatic product seafood pond control method, system, terminal and storage medium based on the Internet of things.
In a first aspect, the application provides an intelligent aquatic product seafood pool control method based on the internet of things, which adopts the following technical scheme:
an intelligent aquatic product seafood pool control method based on the Internet of things comprises the following steps:
acquiring fish information input by a user aiming at a current aquatic product seafood pool;
generating a cultured fish detail list according to the fish information, wherein the cultured fish detail list comprises cultured fish species information and cultured fish quantity information;
acquiring optimal survival environment information corresponding to various cultured fishes in the aquatic product seafood pond according to the cultured fish species information, wherein the optimal survival environment information comprises proper temperature interval information and edible bait information;
calculating to obtain optimal temperature data according to the appropriate temperature interval information corresponding to various cultured fishes;
calculating and acquiring suggested feeding data according to the cultured fish detail table and the edible bait information;
integrating the optimal temperature data and the suggested feeding data to generate a cultivation suggested report, and feeding the cultivation suggested report back to a user terminal;
acquiring cultivation environment parameters set by a user aiming at a current aquatic product seafood pool, wherein the cultivation environment parameters comprise cultivation temperature and cultivation lamp identification, and the cultivation lamp identification comprises two states of '0' and '1';
acquiring actual environmental parameters of a current aquatic product seafood pool, wherein the actual environmental parameters comprise an actual temperature and an actual cultivation lamp identifier;
judging whether the culture environment parameters are consistent with the actual environment parameters;
and if the culture environment parameters are not consistent with the actual environment parameters, generating an adjusting instruction.
Through adopting above-mentioned technical scheme, breed the kind and the quantity of the breed fish according to aquaculture seafood pond internal culture, the data is fed to automatic generation breed optimum temperature data and suggestion of fish to supply the customer to refer to, make breed fish more scientific, user's accessible terminal input farming environment parameter, can be according to the actual environment parameter of the automatic adjustment aquaculture seafood pond of farming environment parameter, even the user is not near aquaculture seafood pond, also can adjust the environment in aquaculture seafood pond, thereby improve the survival rate of breeding the fish.
Optionally, the calculating and obtaining optimal temperature data according to the suitable temperature interval information corresponding to each type of cultured fish specifically includes:
judging whether the suitable temperature intervals corresponding to the various cultured fishes have overlapping intervals according to the suitable temperature interval information of the various cultured fishes;
if the suitable temperature intervals corresponding to various cultured fishes have overlapping intervals, acquiring the middle value of the overlapping intervals, and marking the acquired middle value of the overlapping intervals as the optimal temperature data;
if the suitable temperature intervals corresponding to the various cultured fishes do not have overlapping intervals, acquiring a recommended temperature interval and a special interval according to the suitable temperature interval information corresponding to the various cultured fishes, wherein the recommended temperature interval is a sub-interval with the highest overlapping degree in the suitable temperature intervals, and the special interval is a suitable temperature interval without an intersection with the recommended temperature interval;
and acquiring optimal temperature data in the recommended temperature interval according to the recommended temperature interval and the special interval.
Through adopting above-mentioned technical scheme, because the suitable temperature difference of surviving of different breed fishes, when the user breeds many kinds of breed fishes, obtain the most balanced temperature environment in the suitable temperature interval that survives of difference for aquatic products seafood pond environment sets up more scientifically, thereby improves the survival rate of breeding the fish.
Optionally, be equipped with camera device in the aquatic products seafood pond, according to breed fish list and edible bait information, calculate to acquire suggestion and feed data and specifically include:
controlling a camera device to acquire images so as to obtain image data, and acquiring volume data of the cultured fish in the aquatic product seafood pond according to the image data;
determining breed fish type information corresponding to the bred fish according to the image data and the breed fish detail table;
and acquiring suggested feeding data according to the cultured fish volume data and cultured fish species information.
By adopting the technical scheme, the weight of the bait is calculated according to the volume of the fish cultured in the aquatic product seafood pond, so that the fed fish is prevented from being excessively eaten; the suitable bait for different cultured fishes is different in components, and the bait types are scientifically matched according to the types of the cultured fishes in the aquatic seafood pond, so that the bait nutrition is more balanced, and the survival rate of the cultured fishes is improved.
Optionally, the aquatic product seafood pond is equipped with a feeding device for automatically feeding fish food, the cultivation environment parameters include feeding parameters, and the method further includes:
generating a feeding device trigger instruction for controlling the feeding device to regularly feed quantitative bait to the aquatic product seafood pond according to the feeding parameters;
judging whether residual bait exists in the aquatic product seafood pond or not according to the image data;
and if the residual baits exist in the aquatic product seafood pool, generating an excessive feeding report, and feeding the excessive feeding report back to the user terminal.
Through adopting above-mentioned technical scheme, whether the bait of feeding is excessive according to image data judgement to feed the parameter according to the judged result and adjust to the suggestion, avoid feeding excessive bait and lead to the oxygen in bait consumption aquatic products seafood pond, can reduce the influence of bait to quality of water in the aquatic products seafood pond simultaneously.
Optionally, the aquatic product seafood pond is equipped with a backwashing device for keeping the water quality in the aquatic product seafood pond clean, and the method further comprises:
generating a cleaning clock according to the cultured fish detail table;
judging whether the cleaning clock is triggered or not;
and if the cleaning clock is triggered, generating a backwashing device starting instruction to trigger the backwashing device, and resetting the cleaning clock.
Through adopting above-mentioned technical scheme, be equipped with back flush unit in the aquatic products seafood pond, back flush unit can keep water quality in the aquatic products seafood pond comparatively limpid, sets up clean clock for back flush unit regularly opens, avoids the user to lead to the quality of water in the aquatic products seafood pond muddy because forget to open back flush unit, thereby improves the survival rate of breeding the fish.
Optionally, the aquatic product seafood pond is equipped with a temperature sensor for measuring water temperature, a dissolved oxygen meter for measuring oxygen content, a level sensor for measuring water level of the aquatic product seafood pond, and a PH detector for measuring PH value in the aquatic product seafood pond, and the method further comprises:
acquiring real-time temperature data transmitted by the temperature sensor;
judging whether the real-time temperature data is within a preset safety temperature, if not, generating a temperature alarm and sending the temperature alarm to a user terminal;
acquiring the real-time oxygen content transmitted by the dissolved oxygen meter;
judging whether the real-time oxygen content is lower than a preset safe oxygen content, if so, generating a low-oxygen alarm and sending the low-oxygen alarm to a user terminal;
acquiring the real-time liquid level height transmitted by the liquid level sensor;
judging whether the real-time liquid level height is lower than a preset safe liquid level height, if so, generating a liquid level alarm and sending the liquid level alarm to a user terminal;
acquiring the real-time pH value transmitted by the PH detector;
and judging whether the real-time pH value is within a preset safe pH value range, and if not, generating an acid-base imbalance alarm and sending the alarm to a user terminal.
Through adopting above-mentioned technical scheme, be equipped with multiple environment measuring device in the aquatic products seafood pond, the user can look over the environmental parameter in the aquatic products seafood pond in real time at the terminal and adjust according to the environmental parameter, and when the scope of predetermineeing that various parameters in the aquatic products seafood pond surpassed simultaneously, in time generate the alarm that corresponds and send to user terminal, remind the user to adjust the working parameter of various facilities in the aquatic products seafood pond.
Optionally, a salinity detector and a water delivery device are assembled in the aquatic product seafood pond, and the method further comprises:
acquiring real-time salinity data transmitted by the salinity detector;
judging whether the real-time salinity data is within a preset salinity range;
if not, judging whether the real-time salinity data exceeds a preset salinity maximum value;
if the real-time salinity data exceeds the preset salinity maximum value, generating a water delivery instruction to trigger the water delivery device to deliver water to the aquatic product seafood pool;
and if the real-time salinity data is lower than the preset salinity minimum value, calculating to obtain the salt adding amount according to a preset salinity calculation formula according to the real-time salinity data and the real-time liquid level height, and feeding the salt adding amount back to the user terminal.
By adopting the technical scheme, the salinity in the aquatic product seafood pond is detected according to the acquired real-time salinity data, so that the aquatic product seafood pond can be suitable for cultivating sea fish, and the survival rate of the cultivated fish is improved.
Optionally, the aquatic product seafood pond is loaded with a positioning device for reflecting the position of the aquatic product seafood pond, and the method further comprises:
acquiring the position information of the current aquatic product seafood pool according to the positioning device;
and sending the position information to a merchant terminal.
By adopting the technical scheme, the merchant terminal can acquire all position information for selling the aquatic product seafood pool according to the position information of the aquatic product seafood pool, and the distribution situation of the main buyers of the aquatic product seafood pool is known according to the acquired position information of the aquatic product seafood pool, so that the market information is mastered according to the distribution situation of the buyers, a more targeted popularization scheme is formulated, and the sales volume of the aquatic product seafood pool is increased.
In a second aspect, the application provides an intelligent aquatic product seafood pool control system based on the internet of things, which adopts the following technical scheme:
an intelligence aquatic products seafood pond control system based on thing networking includes:
the fish information acquisition module is used for acquiring fish information input by a user aiming at the current aquatic product seafood pool;
the fish information generation module is used for generating a fish culture list according to the fish information, and the fish culture list comprises fish culture type information and fish culture quantity information;
the environment information acquisition module is used for acquiring optimal survival environment information corresponding to various cultured fishes in the aquatic product seafood pond according to the cultured fish species information, wherein the optimal survival environment information comprises proper temperature interval information and edible bait information;
the temperature data calculation module is used for calculating and acquiring optimal temperature data according to the appropriate temperature interval information corresponding to various cultured fishes;
the feeding data calculation module is used for calculating and acquiring suggested feeding data according to the cultured fish detail table and the edible bait information;
the report generation module is used for integrating the optimal temperature data and the suggested feeding data to generate a cultivation suggested report and feeding the cultivation suggested report back to the user terminal;
the system comprises an environment parameter acquisition module, a control module and a control module, wherein the environment parameter acquisition module is used for acquiring cultivation environment parameters set by a user aiming at a current aquatic product seafood pool, the cultivation environment parameters comprise cultivation temperature and cultivation lamp identifiers, and the cultivation lamp identifiers comprise two states of '0' and '1';
the actual environment parameter detection module is used for acquiring actual environment parameters of the current aquatic product seafood pool, and the actual environment parameters comprise actual temperature and actual cultivation lamp identification;
the judging module is used for judging whether the breeding environment parameters are consistent with the actual environment parameters;
and the whole instruction generating module is used for generating an adjusting instruction if the culture environment parameters are inconsistent with the actual environment parameters.
Through adopting above-mentioned technical scheme, the user can carry out aquaculture environment parameter setting to current aquatic products seafood pond in terminal department to the realization improves user's sense of use to the remote control of all kinds of equipment in aquatic products seafood pond, and when the environment in aquatic products seafood pond is unsuitable to breed the fish and lives, the corresponding alarm of automatic generation is in order to remind the user.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprising a memory and a processor, said memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to the first aspect.
By adopting the technical scheme, the control system in the aquatic product seafood pond generates the breeding suggestion report for the user to refer to according to the variety and the mantissa of the cultured fish cultured by the user, and helps the user scientifically culture the cultured fish, thereby improving the culture survival rate of the cultured fish.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the user can set culture environment parameters on the terminal and can adjust the culture environment parameters at any time, so that the survival rate of cultured fish is improved;
2. according to the fish information of the cultured fishes input by the user, a culture suggestion report is generated, and a reference is provided for the user to set culture environment parameters, so that the cultured fishes are cultured more scientifically;
3. the aquatic product seafood pool is internally provided with a backwashing device which has a timing automatic cleaning function, so that the water quality can be kept clean.
Drawings
Fig. 1 is a flow chart schematic diagram of an intelligent aquatic product seafood pool control method based on the internet of things in the embodiment of the application.
Fig. 2 is a schematic flow chart illustrating calculation of optimal temperature data according to an embodiment of the present application.
FIG. 3 is an exemplary diagram of calculating optimal temperature data according to an embodiment of the present application.
Fig. 4 is a flow chart illustrating calculation of suggested feeding data according to an embodiment of the present application.
Fig. 5 is a schematic flow chart of the embodiment of the present application for determining whether the bait feeding amount is reasonable.
Fig. 6 is a structural block diagram of an intelligent aquatic product seafood pool control system based on the internet of things according to the embodiment of the application.
Description of reference numerals: 1. a fish information acquisition module; 2. a list generation module; 3. an environment information acquisition module; 4. a temperature data calculation module; 5. a feeding data calculation module; 6. a report generation module; 7. an environmental parameter acquisition module; 8. an actual environment parameter detection module; 9. a judgment module; 10. and an adjustment instruction generation module.
Detailed Description
The present application is described in further detail below with reference to figures 1-6.
The embodiment of the application discloses an intelligent aquatic product seafood pool control method based on the Internet of things. Referring to fig. 1, the intelligent aquatic product seafood pool control method based on the internet of things comprises the following steps:
s100: and acquiring fish information input by a user aiming at the current aquatic product seafood pool.
Specifically, after the user receives the aquatic product seafood pool, the user can register an account number on software pre-manufactured by a merchant through electronic equipment such as a mobile phone and the like, so that communication contact is established with the aquatic product seafood pool, and the user terminal is bound with a wireless module built in the aquatic product seafood pool; after binding is completed, a user can input fish information at a terminal, and the fish information specifically comprises breeding fish type information corresponding to breeding fish fed in the aquatic product seafood pond by the user and breeding fish quantity information corresponding to various breeding fish.
In implementation, as the using time of the aquatic product seafood pool increases, the types and the number of the cultured fishes fed in the aquatic product seafood pool are possibly changed, and a user can update the fish information at the mobile phone terminal.
S200: and generating a cultured fish list according to the fish information.
The cultured fish detail list is specifically a detail list obtained by integrating cultured fish type information and cultured fish quantity information.
S300: and acquiring the optimal survival environment information corresponding to various cultured fishes in the current aquatic product seafood pond according to the cultured fish species information.
The database is pre-stored with data information of a plurality of cultured fishes, the data information comprises optimum survival environment information suitable for the cultured fishes, the optimum survival environment specifically comprises suitable temperature interval information and food bait information, the suitable temperature interval information is a suitable temperature interval corresponding to the cultured fishes, for example, the suitable temperature interval corresponding to the peacock fishes is [23, 29] (unit: centigrade); the edible bait information is the more suitable bait kind of this kind of breed fish specifically, feeds and breeds that general individual according to the different food habits of fish divide into three kinds of baits: pure animal baits, mixed baits and planting baits, and proper baits for different cultured fishes are different in types.
In the implementation, according to the breed fish type information, searching is carried out in the database, and according to the search result, the optimal survival environment information corresponding to various breed fishes in the aquatic product seafood pond is determined.
S400: and calculating to obtain optimal temperature data according to the appropriate temperature interval information corresponding to various cultured fishes.
Wherein, the suitable temperature interval that different breed fishes correspond is different, so need seek equilibrium state between different fish species for the temperature is fit for all breeds' breed fishes in aquatic products seafood pond as far as possible.
Referring to fig. 2, S400 specifically includes:
s401: and numbering all kinds of cultured fishes in the cultured fish detail list.
Specifically, if there are N types of cultured fish in the cultured fish list, the number is 1-N, the minimum end point value of the suitable temperature range corresponding to all the types of cultured fish is obtained, the cultured fish is sorted according to the obtained minimum end point value from large to small, the sorting result is obtained, the middle serial number of the sorting result is obtained, if N is an odd number, the middle serial number is (N + 1)/2, if N is an even number, the middle serial number is N/2, the cultured fish corresponding to the obtained middle serial number is assigned with the number 1, the cultured fish arranged below the middle serial number is assigned with the even-numbered serial number, the fish arranged above the middle serial number is assigned with the base-numbered serial number, the order of the serial numbers is from top to bottom, in the implementation, the cultured fish corresponding to the first serial number arranged below the middle serial number is assigned with the number 2, and (3) assigning a number to the cultured fish corresponding to the first serial number arranged above the intermediate value, 4 assigning a number to the cultured fish corresponding to the second serial number arranged below the intermediate value, 5 assigning a number to the cultured fish corresponding to the second serial number arranged above the intermediate value, and so on until all the cultured fishes in the cultured fish detail list are assigned with different numbers.
S402: and judging whether the suitable temperature intervals corresponding to the various cultured fishes have overlapping intervals according to the suitable temperature interval information of the various cultured fishes.
If yes, jumping to S403;
if not, the process goes to S404.
S403: and acquiring the middle value of the coincidence interval, and marking the acquired middle value as the optimal temperature data.
The unit corresponding to the optimal temperature data is specifically degree centigrade.
S404: and acquiring a suggested temperature interval and a special interval.
Wherein, the judging method specifically comprises the steps of comparing the proper temperature interval corresponding to the No. 1 cultured fish with the proper temperature interval corresponding to the No. 2 cultured fish, judging whether an intersection exists between the proper temperature interval corresponding to the No. 1 cultured fish and the proper temperature interval corresponding to the No. 2 cultured fish, if so, acquiring an overlapped interval corresponding to the proper temperature interval corresponding to the No. 1 cultured fish and the proper temperature interval corresponding to the No. 2 cultured fish, comparing the acquired overlapped interval with the proper temperature interval corresponding to the No. 3 cultured fish, judging whether an intersection exists between the overlapped interval and the proper temperature interval corresponding to the No. 3 cultured fish, if so, acquiring the intersection between the overlapped interval and the No. 3 proper temperature interval, updating the overlapped interval according to the acquired intersection, analogizing until the No. N, marking the finally acquired overlapped interval as an overlapped interval, under the condition that the corresponding proper temperature intervals of all the cultured fishes have intersection, judging that an overlapped interval exists; if the suitable temperature interval corresponding to the number 1 cultured fish does not intersect with the suitable temperature interval corresponding to the number 2 cultured fish, the suitable temperature interval corresponding to the number 2 cultured fish is marked as a special interval, the suitable temperature interval corresponding to the number 1 cultured fish is compared with the suitable temperature interval corresponding to the number 3 cultured fish, if the suitable temperature interval corresponding to the number 2 cultured fish intersects with the suitable temperature interval corresponding to the number 3 cultured fish, the intersection between the suitable temperature interval corresponding to the number 2 cultured fish and the suitable temperature interval corresponding to the cultured fish is obtained, the interval corresponding to the intersection is marked as an overlapping interval, the obtained overlapping interval is compared with the suitable temperature interval corresponding to the number 4 cultured fish, and the process is repeated until the comparison with the number N cultured fish is finished, and the finally obtained overlapping interval is marked as a suggested temperature interval.
For example, referring to fig. 3, four kinds of cultured fish are totally contained in a constant aquatic product seafood pond, the optimal suitable temperature corresponding to the cultured fish number 1 is [24,28], the optimal suitable temperature corresponding to the cultured fish number 2 is [22,27], the optimal suitable temperature corresponding to the cultured fish number 3 is [25,29], the optimal suitable temperature corresponding to the cultured fish number 4 is [20,23], according to the steps, no overlapping interval can be judged, the suggested temperature interval is a hatched part in fig. 3, specifically [25,27], and the special interval is a diamond-lattice-carved interval in fig. 3, specifically [20,23 ].
S405: and judging whether the maximum values of the special intervals are all smaller than the minimum value of the recommended temperature interval.
If yes, jumping to S406;
if not, the process goes to S407.
S406: and acquiring the minimum value of the suggested temperature interval, and marking the acquired minimum value as the optimal temperature data.
The number of the special intervals can be multiple, if the maximum values of the special intervals are smaller than the recommended temperature interval, it is indicated that some cultured fishes are suitable for survival in a water temperature environment with lower temperature, and therefore the minimum value of the recommended temperature interval is obtained, and the water temperature is more suitable for survival of the cultured fishes corresponding to the special intervals.
For example, referring to fig. 3, the special interval is [20,23], the suggested temperature interval is [25,27], and the optimal temperature data is specifically 25 ℃.
S407: and judging whether the minimum values of the special intervals are all larger than the maximum value of the recommended temperature interval.
If yes, jumping to S408;
if not, the process goes to S409.
S408: a maximum value of the recommended temperature interval is obtained, and the obtained maximum value is marked as optimal temperature data.
If the maximum values of the plurality of special intervals are all larger than the recommended temperature interval, it is indicated that part of the cultured fishes are suitable for survival in the water temperature environment with higher temperature, and therefore the maximum values of the recommended temperature intervals are obtained, and the water temperature is more suitable for survival of the cultured fishes corresponding to the special intervals.
S409: a median value of the proposed temperature interval is obtained and the obtained median value is marked as the optimal temperature data.
If the maximum value unevenness of the special interval is smaller than the maximum value of the recommended temperature interval and the minimum value unevenness of the special interval is larger than the minimum value of the recommended temperature interval, it is indicated that a plurality of special intervals are arranged on two sides of the recommended temperature interval respectively, and therefore the middle value of the recommended temperature interval is obtained.
S500: and calculating and acquiring suggested feeding data according to the cultured fish detail list and the bait information.
The corresponding food habits of the different kinds of cultured fishes are different, when the cultured fishes are fed, various baits are fed according to the food habits of the cultured fishes, the survival rate of the cultured fishes can be improved, too much baits are fed simultaneously, the baits consume oxygen in water, the survival rate of the cultured fishes is influenced, and therefore the suggested feeding data is provided for users, scientific culture is achieved, and the survival rate of the cultured fishes is improved.
Specifically, be equipped with in the aquatic products seafood pond and be used for the automatic feeding device of food of throwing in fish, the user can be manual allotment bait after, put into bait and feed the food device, feeds the time quantum that the device can be automatic interval fixed and puts in bait in the aquatic products seafood pond, and the weight of the bait of putting in at every turn can be adjusted according to user's demand.
Referring to fig. 4, S500 specifically includes:
s501: and controlling the camera device to acquire images so as to obtain image data.
Wherein, set in the aquatic products seafood pond and have made a video recording device, camera device can shoot the inside breed fish of aquatic products seafood pond to obtain the image of all breed fishes in the aquatic products seafood pond in the picture.
S502: and acquiring the volume data of the fish cultured in the aquatic product seafood pond according to the image data.
Wherein, there is fixed reference thing in the image data, can predict the volume of breeding the fish according to the volume ratio between reference thing and the breed fish to obtain the volume of every breed fish in aquatic products seafood pond.
S503: and determining the breed fish type information corresponding to the bred fish according to the image data and the breed fish detail table.
And carrying out feature identification on the cultured fish in the image data so as to determine the corresponding cultured fish type information of each cultured fish in the image data in the cultured fish list.
S504: and acquiring the corresponding son feeding data of the cultured fish in the aquatic product seafood pond according to the volume data of the cultured fish and the cultured fish species information.
Wherein the sub-feeding data includes a sub-bait category and a sub-bait weight.
Specifically, the optimal bait intake of a fish is 2% of the self weight, the weight of the cultured fish can be obtained according to the volume of the cultured fish, and the weight of the generated sub-bait is calculated according to the weight of the cultured fish; and acquiring the corresponding sub-bait type of the cultured fish according to the information of the cultured fish type, wherein the sub-bait type is consistent with the corresponding edible bait information in the optimal survival environment information of the cultured fish.
For example, according to the image data, the volume of a piece of cultured fish in the aquatic seafood pond is 29
Figure DEST_PATH_IMAGE001
It is known that the density of fish is close to the density of water, i.e. 1 g-
Figure 940315DEST_PATH_IMAGE001
And then the weight of the corresponding sub-bait of the cultured fish is 0.56g, and according to the image data, the type of the cultured fish can be determined to be the peacock fish, and the corresponding sub-bait type is the plant-type bait. According to the method, the sub-feeding data corresponding to each cultured fish in the image data are obtained.
S505: and (4) integrating the feeding data of the integron, and calculating to obtain suggested feeding data.
Wherein, the suggested feeding data comprises suggested feeding bait types and corresponding suggested feeding amounts. Specifically, the recommended feeding amount is the sum of the weights of the three recommended feeding baits, and the recommended feeding amount is the sum of the weights of the corresponding sub-baits. In practice, the suggested feeding data is specifically expressed as: pure animal bait-X (gram), mixed bait-Y (gram), and plant bait-Z (gram).
S600: and integrating the optimal temperature data and the recommended feeding data to generate a breeding recommendation report, and feeding the breeding recommendation report back to the user terminal.
The user can adjust the equipment parameters loaded on the aquatic seafood pool according to the breeding suggestion report, so that scientific fish culture is achieved, and the survival rate of cultured fish is improved.
In implementation, every time the user updates the fish information, the S200-S600 automatically runs to update the cultivation suggestion report, and feeds the updated cultivation suggestion report back to the user terminal.
S700: and acquiring the culture environment parameters set by the user aiming at the current aquatic product seafood pool.
The system comprises a fish tank, a breeding environment parameter, a terminal and a control module, wherein the breeding environment parameter comprises a plurality of breeding sub-parameters, specifically, breeding temperature, breeding lamp identification, feeding parameters, oxygen supply parameters and other parameters, the breeding temperature is a fish tank specific temperature value set by a user, and the user can input and set the breeding temperature in the fish tank according to optimal temperature data at the terminal; the aquaculture lamp is arranged in the aquatic product seafood pond, the aquaculture lamp mark comprises a state of 0 and a state of 1, the mark 0 represents that the aquaculture lamp is in a closed state, and the mark 1 represents that the aquaculture lamp is in an open state; the feeding parameters are the weight of the bait fed by the feeding device each time; the oxygen pump is arranged in the aquatic product seafood pool, oxygen can be continuously pumped into the water, so that the survival rate of cultured fishes is improved, the oxygen supply parameter is the oxygen increasing rate of the oxygen pump, and the unit is g/(m.d), specifically, a user sets the oxygen supply parameter to input a value not less than 0.
In implementation, the wireless module is arranged in the aquatic product seafood pool, on the basis of establishing a network and data, a user can read state data of equipment in a wireless mode through terminals such as a mobile phone and the like, and sends an instruction to the wireless module built in the aquatic product seafood pool by means of a wireless network in combination with actual demands of the user, so that actions are completed.
S800: and acquiring the actual environmental parameters of the current aquatic product seafood pool.
The actual environment parameters comprise a plurality of actual environment sub-parameters, specifically comprise actual temperature, actual cultivation lamp identifiers, actual oxygen supply parameters, actual feeding parameters and actual oxygen supply parameters, specifically, the actual environment parameters correspond to the cultivation environment parameters one to one, namely, the actual temperature corresponds to the cultivation temperature, the actual cultivation lamp identifiers correspond to the cultivation lamp identifiers, the actual feeding parameters correspond to the feeding parameters, and the actual oxygen supply parameters correspond to the oxygen supply parameters.
S900: and judging whether the culture environment parameters are consistent with the actual environment parameters.
If yes, continuously judging whether the culture environment parameters are consistent with the actual environment parameters.
If not, the process goes to S1000.
Specifically, each sub-actual environment parameter in the actual environment parameters is compared with the corresponding sub-cultivation environment parameter by adopting a one-to-one comparison principle, and if all the sub-actual environment parameters in the actual environment parameters are consistent with the corresponding sub-cultivation environment parameters, the judgment is yes, and if any sub-actual environment parameter is inconsistent with the corresponding sub-cultivation environment parameter, the judgment is no.
For example, if the actual temperature is 21 degrees celsius and the cultivation temperature set by the user is 22 degrees celsius, it is determined that the actual temperature is inconsistent with the cultivation temperature; and if the actual cultivation lamp identification is '0' and the cultivation lamp identification is '1', judging that the actual cultivation lamp identification is inconsistent with the cultivation lamp identification.
S1000: and acquiring all inconsistent sub-cultivation environment parameters, and generating an adjusting instruction according to the sub-cultivation environment parameters.
And automatically skipping to S900 after S1000 is finished, and continuously judging whether the culture environment parameters are consistent with the actual environment parameters.
Specifically, if the sub-cultivation environment parameters are inconsistent with the sub-actual environment parameters, it is indicated that the user has adjusted the environment parameters of the aquatic product seafood pool, or due to the environmental factors, the actual environment in the aquatic product seafood pool is inconsistent with the cultivation environment parameters input by the user, and therefore a relevant adjustment instruction needs to be generated. For example, if the actual temperature is 21 ℃ and the cultivation temperature is 22 ℃, generating a temperature rise instruction, and sending the temperature rise instruction to a temperature control device arranged in the aquatic product seafood pool, so that the water temperature in the aquatic product seafood pool rises to 22 ℃ and the heating is automatically stopped; if the actual cultivation lamp identifier is '0' and the cultivation lamp identifier is '1', a light-on instruction is generated, so that the cultivation lamp identifier is switched to '1'.
In practice, S100-S600 and S700-S1000 are performed simultaneously, without interfering with each other.
Further, referring to fig. 5, in this embodiment, the feeding device is provided with a feeding clock and an observation clock, after the feeding clock is triggered, the feeding device automatically pours the bait with the fixed weight into the aquatic product seafood pool according to the feeding parameters input by the user, after the feeding clock is triggered, the observation clock is triggered after a fixed time period, so as to judge whether the bait put into the aquatic product seafood pool is proper, and the corresponding processing can be as follows:
s10: and judging whether the feeding clock is triggered or not.
If not, continuously judging whether the feeding clock is triggered or not until the feeding clock is triggered;
if yes, the process goes to S11 and S17.
S11: and generating a feeding device triggering instruction and sending the feeding device triggering instruction to the feeding device.
S12: an observation clock is generated.
Wherein, the observation clock is set to provide sufficient eating time for the cultured fish, thereby improving the accuracy of judging whether the bait feeding amount is proper or not. In an implementation, the watch clock may be set to five or ten minutes.
S13: and judging whether the observation clock is triggered or not.
If not, continuously judging whether the observation clock is triggered or not until the observation clock is triggered;
if yes, the process proceeds to S14.
S14: and controlling the camera device to acquire images so as to obtain image data.
S15: and judging whether residual bait exists in the aquatic product seafood pond or not according to the image data.
If yes, go to S16;
if not, no response is made.
The image recognition function can be adopted to judge whether the water surface of the aquatic product seafood pool has floaters so as to determine whether the bait is thrown excessively, and if the floaters exist in the aquatic product seafood pool, the bait is thrown excessively, the feeding parameters are unreasonable, and the adjustment is needed.
S16: and generating an excessive feeding report and sending the excessive feeding report to the user terminal.
The method can send an overfeeding report to the user terminal to prompt the user that feeding parameters are unreasonable in setting, so that the user can conveniently adjust the feeding parameters, and the survival rate of the cultured fish is improved.
S17: the feeding clock is reset.
Specifically, the feeding clock is reset to start a new round of timing, so that the feeding device can feed baits into the aquatic product seafood pool at regular time.
Further, aquatic products seafood pond in be equipped with and be used for keeping the clear back flush unit of water quality in the aquatic products seafood pond, back flush unit can make the water in the aquatic products seafood pond keep the circulation to flow, has automatic filtration function simultaneously, can be so that rubbish in the aquatic products seafood pond gets into in the filter vat of back flush unit from the area to make the water quality in the aquatic products seafood pond keep clean, but the filter vat needs regularly clean, avoids blockking up, corresponding processing can be as follows:
s20: and generating a cleaning clock according to the cultured fish detail list.
Wherein, a cleaning clock calculation formula is preset, and the cleaning clock calculation formula specifically comprises:
Figure DEST_PATH_IMAGE003
specifically, x is the total number of all cultured fishes in the aquatic product seafood pond, and the unit is as follows: and the total number of all cultured fishes in the aquatic product seafood pond can be acquired according to the quantity information of the cultured fishes in the cultured fish detail table, and the more the quantity of the cultured fishes in the aquatic product seafood pond is, the more the garbage is generated, so the self-cleaning frequency of the back-cleaning device is more frequent.
S21: and judging whether the cleaning clock is triggered or not.
If yes, the process goes to S22 and S23.
If not, continuously judging whether the cleaning clock is triggered or not until the cleaning clock is triggered.
S22: and generating a starting instruction of the backwashing device.
After the backwashing device in the aquatic product seafood pond receives a starting instruction of the backwashing device, the cleaning work of the filter barrel is automatically carried out, and the situation that a user forgets to clean the filter barrel at regular time to cause blockage of the backwashing device is avoided.
S23: the cleaning clock is reset.
Furthermore, a temperature sensor for measuring water temperature, an oxygen dissolving instrument for measuring oxygen content and a liquid level sensor for measuring the water level of the aquatic product seafood pool are arranged in the aquatic product seafood pool.
Temperature sensor real-time supervision aquatic products temperature in the seafood pond is in order to acquire real-time temperature data, when real-time temperature data is less than or surpasses predetermined safe temperature, explains that temperature control equipment in the aquatic products seafood pond probably breaks down, then generates the temperature alarm and sends to user terminal, reminds the temperature in the user aquatic products seafood pond not suitable breed fish to survive, and the user of being convenient for in time discovers the temperature abnormal conditions in the aquatic products seafood pond.
The dissolved oxygen instrument can monitor the real-time oxygen content in the aquatic product seafood pond, and the real-time oxygen content in the aquatic product seafood pond is less than preset safe oxygen content, shows that the oxygen in the aquatic product seafood pond is about to be consumed, probably because the oxygen pump in the aquatic product seafood pond breaks down or temperature rise leads to, generates the low oxygen alarm and sends to user terminal, and the user of being convenient for in time discovers the problem that the oxygen content is not enough in the aquatic product seafood pond. In implementation, if the real-time oxygen content in the aquatic product seafood pool is lower than the preset safe oxygen content, the oxygen increasing speed of the oxygen increasing pump is automatically increased so as to increase the oxygen content in the fish tank and avoid the death of the cultured fish caused by oxygen deficiency.
Liquid level sensor can monitor the real-time liquid level height in the aquatic products seafood pond, because the weather reason perhaps uses the water pump to when changing water to the aquatic products seafood pond, liquid level height in the aquatic products seafood pond can be less than preset safe liquid level height, it dies because of lacking water to lead to the breed fish in the aquatic products seafood pond, when liquid level sensor monitors the real-time liquid level height in the aquatic products seafood pond and is less than preset safe liquid level height, generate liquid level alarm and send to user terminal, be convenient for remind user's water level in the aquatic products seafood pond to hang down, need timely moisturizing, in implementing, if the real-time liquid level height in the aquatic products seafood pond is less than preset safe liquid level height, then automatic control raceway is defeated water in to the fish bowl, until real-time liquid level height is on safe.
The PH detector can detect the real-time pH valve in the aquatic products seafood pond, because multiple reasons such as temperature, bait, quality of water, the pH valve in the aquatic products seafood pond can change, surpasss predetermined safe pH valve scope when the pH valve in the aquatic products seafood pond, can reduce the survival rate of the breed fish in the aquatic products seafood pond. When the PH detector monitors that the real-time pH value in the aquatic product seafood pond exceeds a preset safe pH value range, an acid-base imbalance alarm is generated and sent to a user terminal, and a user can take corresponding measures according to the real-time pH value. When the PH value in the aquatic product seafood pool is low, a user can add a proper amount of lime or replace fresh water into the aquatic product seafood pool; when the PH value in the aquatic product seafood pool is higher, a user can add fresh water into the aquatic product seafood pool to obtain and spray EM bacterial liquid so as to adjust the pH value in the aquatic product seafood pool. In implementation, a pH adjusting device storing lime and EM bacterial liquid is arranged in the aquatic product seafood pool, if the pH value in the aquatic product seafood pool is low, a first acid-base adjusting instruction is generated to control the pH adjusting device to put quantitative lime into the aquatic product seafood pool, and if the pH value in the aquatic product seafood pool is high, a second acid-base adjusting instruction is generated to control the pH adjusting device to put quantitative EM bacterial liquid into the aquatic product seafood pool.
Further, be equipped with salinity detector and water delivery equipment in the aquatic products seafood pond, salinity in the aquatic products seafood pond can be monitored to the salinity detector to adjust according to the salinity, corresponding processing can be as follows:
s30: and acquiring real-time salinity data transmitted by the salinity detector.
S31: and judging whether the real-time salinity data is within a preset salinity range.
If the judgment result is yes, no response is made;
if no, the process proceeds to S32.
Wherein, with the evaporation of moisture or other external reasons, the salinity in the aquatic products seafood pond can change, so the salinity in salinity detector carries out real-time detection to the aquatic products seafood pond, and the user can set up the salinity scope according to the concrete fish of breed.
S33: and judging whether the real-time salinity data exceeds a preset salinity maximum value.
If yes, go to S34;
if no, the process goes to S35.
If the real-time salinity data exceeds the preset salinity maximum value, the salinity in the aquatic product seafood pool is over high, and fresh water needs to be conveyed into the aquatic product seafood pool; if the real-time salinity data is lower than the preset salinity maximum value and exceeds the preset salinity range, the salinity in the aquatic product seafood pool is too low, and sea salt needs to be added into the aquatic products so as to adjust the salinity in the aquatic product seafood pool.
S34: and generating a water delivery instruction to trigger the water delivery device to deliver water to the aquatic product seafood pool.
When the salinity in the aquatic product seafood pool is too high, the water delivery device is controlled to deliver water to the aquatic product seafood pool, fresh water with a fixed volume is delivered to the aquatic product seafood pool once the water delivery device is started, S30 is automatically skipped to after S34 is finished, whether the real-time salinity data is within a preset salinity range is judged again, and the phenomenon that the salinity in the aquatic product seafood pool is still too high due to too little water delivery amount is avoided.
S35: and acquiring the salt adding amount according to the real-time salinity data and the real-time liquid level height and a preset salinity calculation formula.
Wherein, the salinity formula of calculation specifically is:
Figure DEST_PATH_IMAGE005
in particular, the method comprises the following steps of,
Figure 641424DEST_PATH_IMAGE006
for a preset optimum salinity, this value is set manually by the user,
Figure DEST_PATH_IMAGE007
the current salinity of the aquatic product seafood pool corresponding to the real-time salinity data; z is the salt adding amount; y is the weight of water in the aquatic product seafood pool; h is the real-time liquid level height in meters (m); s is the bottom area of the aquatic product seafood pool, the unit is square meter (square meter), S corresponding to each aquatic product seafood pool is a fixed value, and the S can be set by a merchant in advance according to the specific area of the aquatic product seafood pool;
Figure 397152DEST_PATH_IMAGE008
the density of water is measured by Kg/m, and the weight is usually 1Kg/m, and the salt addition can be obtained according to the salinity calculation formula.
S36: and generating a salt adding instruction according to the salt adding amount, and controlling the salt adding device to add the sea salt into the aquatic product seafood pool.
Wherein, the fish tank is internally provided with a salt adding device which can automatically add sea salt into the fish tank. Specifically, a salt adding instruction is generated according to the salt adding amount so as to control the salt adding device to quantitatively add the sea salt into the aquatic product seafood pool.
S37: and feeding back the salt adding amount to the user terminal.
Further, positioner is loaded on the aquatic products seafood pond, after obtaining user's mandate, the merchant end can acquire the positional information of aquatic products seafood pond, and the merchant end can acquire buyer's distribution according to the positional information of selling the aquatic products seafood pond to know the main buyer's of aquatic products seafood pond distribution, thereby grasp market information according to buyer's distribution, thereby formulate more corresponding popularization scheme, improve the sales volume of aquatic products seafood pond.
The embodiment of the application further discloses an intelligent aquatic product seafood pool control system based on the Internet of things. Referring to fig. 6, the intelligent aquatic product seafood pool control system based on the internet of things comprises a fish information acquisition module 1, a list generation module 2, an environmental information acquisition module 3, a temperature data calculation module 4, a feeding data calculation module 5, a report generation module 6, an environmental parameter acquisition module 7, an actual environmental parameter detection module 8, a judgment module 9 and an adjustment instruction generation module 10.
The fish information acquisition module 1 is used for acquiring fish information input by a user aiming at the current aquatic product seafood pool.
And the detail list generating module 2 is used for generating a cultured fish detail list according to the fish information.
And the environment information acquisition module 3 is used for acquiring the optimal survival environment information corresponding to various cultured fishes in the current aquatic product seafood pond according to the cultured fish species information.
And the temperature data calculation module 4 is used for calculating and acquiring optimal temperature data according to the suitable temperature interval information corresponding to various cultured fishes.
And the feeding data calculation module 5 is used for calculating and acquiring suggested feeding data according to the cultured fish detail table and the bait using information.
And the report generation module 6 is used for integrating the optimal temperature data and the recommended feeding data, generating a breeding recommendation report and feeding the breeding recommendation report back to the user terminal.
And the environment parameter acquisition module 7 is used for acquiring the culture environment parameters set by the user aiming at the current aquatic product seafood pool.
And the actual environment parameter detection module 8 is used for acquiring the actual environment parameters of the current aquatic product seafood pool.
And the judging module 9 is used for judging whether the cultivation environment parameters are consistent with the actual environment parameters.
And the adjusting instruction generating module 10 is used for acquiring all inconsistent sub-cultivation environment parameters and generating an adjusting instruction according to the sub-cultivation environment parameters.
The embodiment of the application also discloses an intelligent terminal which comprises a storage and a processor, wherein the storage is stored with a computer program which can be loaded by the processor and can execute the intelligent aquatic product seafood pool control method based on the Internet of things.
The above examples are only used to illustrate the technical solutions of the present application, and do not limit the scope of protection of the application. It is to be understood that the embodiments described are only some of the embodiments of the present application and not all of them. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, are within the scope of the present application.

Claims (10)

1. An intelligent aquatic product seafood pool control method based on the Internet of things is characterized by comprising the following steps:
acquiring fish information input by a user aiming at a current aquatic product seafood pool;
generating a cultured fish detail list according to the fish information, wherein the cultured fish detail list comprises cultured fish species information and cultured fish quantity information;
acquiring optimal survival environment information corresponding to various cultured fishes in the aquatic product seafood pond according to the cultured fish species information, wherein the optimal survival environment information comprises proper temperature interval information and edible bait information;
calculating to obtain optimal temperature data according to the appropriate temperature interval information corresponding to various cultured fishes;
integrating the optimal temperature data and the suggested feeding data to generate a cultivation suggested report, and feeding the cultivation suggested report back to a user terminal;
acquiring cultivation environment parameters set by a user aiming at a current aquatic product seafood pool, wherein the cultivation environment parameters comprise cultivation temperature and cultivation lamp identification, and the cultivation lamp identification comprises two states of '0' and '1';
acquiring actual environmental parameters of a current aquatic product seafood pool, wherein the actual environmental parameters comprise an actual temperature and an actual cultivation lamp identifier;
judging whether the culture environment parameters are consistent with the actual environment parameters;
and if the culture environment parameters are not consistent with the actual environment parameters, generating an adjusting instruction.
2. The intelligent aquatic product seafood pond control method based on the internet of things as claimed in claim 1, wherein the calculating and obtaining optimal temperature data according to the suitable temperature interval information corresponding to each type of cultured fish specifically comprises:
judging whether the suitable temperature intervals corresponding to the various cultured fishes have overlapping intervals according to the suitable temperature interval information of the various cultured fishes;
if the suitable temperature intervals corresponding to various cultured fishes have overlapping intervals, acquiring the middle value of the overlapping intervals, and marking the acquired middle value of the overlapping intervals as the optimal temperature data;
if the suitable temperature intervals corresponding to the various cultured fishes do not have overlapping intervals, acquiring a recommended temperature interval and a special interval according to the suitable temperature interval information corresponding to the various cultured fishes, wherein the recommended temperature interval is a sub-interval with the highest overlapping degree in the suitable temperature intervals, and the special interval is a suitable temperature interval without an intersection with the recommended temperature interval;
and acquiring optimal temperature data in the recommended temperature interval according to the recommended temperature interval and the special interval.
3. The internet of things-based intelligent aquatic product seafood pond control method according to claim 1, wherein a camera device is assembled in the aquatic product seafood pond, and the calculation and acquisition of suggested feeding data according to the cultured fish detail table and the edible bait information specifically comprises:
controlling a camera device to acquire images so as to obtain image data, and acquiring volume data of the cultured fish in the aquatic product seafood pond according to the image data;
determining breed fish type information corresponding to the bred fish according to the image data and the breed fish detail table;
and acquiring suggested feeding data according to the cultured fish volume data and cultured fish species information.
4. The Internet of things-based intelligent aquatic seafood pond control method of claim 3, wherein the aquatic seafood pond is equipped with a feeding device for automatically feeding fish food, the farming environment parameters comprise feeding parameters, and the method further comprises:
generating a feeding device trigger instruction for controlling the feeding device to regularly feed quantitative bait to the aquatic product seafood pond according to the feeding parameters;
judging whether residual bait exists in the aquatic product seafood pond or not according to the image data;
and if the residual baits exist in the aquatic product seafood pool, generating an excessive feeding report, and feeding the excessive feeding report back to the user terminal.
5. The internet of things-based intelligent aquatic seafood pond control method of claim 1, wherein the aquatic seafood pond is equipped with a backwashing device for keeping the water quality of the aquatic seafood pond clean, the method further comprising:
generating a cleaning clock according to the cultured fish detail table;
judging whether the cleaning clock is triggered or not;
and if the cleaning clock is triggered, generating a backwashing device starting instruction to trigger the backwashing device, and resetting the cleaning clock.
6. The intelligent aquatic product seafood pond control method based on the internet of things of claim 1, wherein a temperature sensor for measuring water temperature, an oxygen dissolving instrument for measuring oxygen content, a liquid level sensor for measuring water level of the aquatic product seafood pond, and a pH detector for measuring pH value in the aquatic product seafood pond are assembled in the aquatic product seafood pond, and the method further comprises:
acquiring real-time temperature data transmitted by the temperature sensor;
judging whether the real-time temperature data is within a preset safety temperature, if not, generating a temperature alarm and sending the temperature alarm to a user terminal;
acquiring the real-time oxygen content transmitted by the dissolved oxygen meter;
judging whether the real-time oxygen content is lower than a preset safe oxygen content, if so, generating a low-oxygen alarm and sending the low-oxygen alarm to a user terminal;
acquiring the real-time liquid level height transmitted by the liquid level sensor;
judging whether the real-time liquid level height is lower than a preset safe liquid level height, if so, generating a liquid level alarm and sending the liquid level alarm to a user terminal;
acquiring the real-time pH value transmitted by the PH detector;
and judging whether the real-time pH value is within a preset safe pH value range, and if not, generating an acid-base imbalance alarm and sending the alarm to a user terminal.
7. The Internet of things-based intelligent aquatic seafood pond control method of claim 6, wherein a salinity detector and water delivery equipment are assembled in the aquatic seafood pond, the method further comprising:
acquiring real-time salinity data transmitted by the salinity detector;
judging whether the real-time salinity data is within a preset salinity range;
if not, judging whether the real-time salinity data exceeds a preset salinity maximum value;
if the real-time salinity data exceeds the preset salinity maximum value, generating a water delivery instruction to trigger the water delivery device to deliver water to the aquatic product seafood pool;
and if the real-time salinity data is lower than the preset salinity minimum value, calculating to obtain the salt adding amount according to a preset salinity calculation formula according to the real-time salinity data and the real-time liquid level height, and feeding the salt adding amount back to the user terminal.
8. The internet of things-based intelligent aquatic seafood pond control method of claim 1, wherein the aquatic seafood pond is loaded with a positioning device for reflecting the position of the aquatic seafood pond, the method further comprising:
acquiring the position information of the current aquatic product seafood pool according to the positioning device;
and sending the position information to a merchant terminal.
9. An intelligent aquatic product seafood pool control system based on the Internet of things is characterized by comprising,
the fish information acquisition module (1) is used for acquiring fish information input by a user aiming at the current aquatic product seafood pool;
the list generation module (2) is used for generating a cultured fish list according to the fish information, and the cultured fish list comprises cultured fish species information and cultured fish quantity information;
the environment information acquisition module (3) is used for acquiring optimal survival environment information corresponding to various cultured fishes in the aquatic product seafood pond according to the cultured fish species information, wherein the optimal survival environment information comprises proper temperature interval information and edible bait information;
the temperature data calculation module (4) is used for calculating and acquiring optimal temperature data according to the appropriate temperature interval information corresponding to various cultured fishes;
the feeding data calculation module (5) is used for calculating and acquiring suggested feeding data according to the cultured fish detail table and the edible bait information;
a report generation module (6) for integrating the optimal temperature data and the recommended feeding data to generate a cultivation recommended report and feeding the cultivation recommended report back to the user terminal;
the system comprises an environmental parameter acquisition module (7) for acquiring the culture environmental parameters set by a user aiming at the current aquatic product seafood pool, wherein the culture environmental parameters comprise culture temperature and culture lamp identification, and the culture lamp identification comprises two states of '0' and '1';
the actual environment parameter detection module (8) is used for acquiring the actual environment parameters of the current aquatic product seafood pool, and the actual environment parameters comprise the actual temperature and the actual cultivation lamp identification;
the judging module (9) is used for judging whether the culture environment parameters are consistent with the actual environment parameters;
and the whole instruction generating module (10) is used for generating an adjusting instruction if the culture environment parameters are inconsistent with the actual environment parameters.
10. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 7.
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CN113435323B (en) * 2021-06-25 2024-03-22 青岛海尔科技有限公司 Method and device for controlling feeding device, storage medium and electronic equipment
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CN116029499B (en) * 2022-12-12 2023-08-04 广东讯源营养科技有限公司 Big data-based feed intelligent quantitative proportioning management system

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