Smart fishery information production management method and system based on the Internet of Things

Abstract

The present invention discloses a smart fishery information production management method and system based on the Internet of Things, which solves the technical problem that the aquaculture waters cannot be screened through information collection and analysis in the prior art and cannot be monitored according to the fishery environment of the waters. The method includes: selecting aquaculture waters for fishery aquaculture; reasonably screening aquaculture waters and dividing the current aquaculture waters into a number of sub-waters; analyzing the location of each sub-water area and obtaining the aquaculture site selection coefficient of each sub-water area; generating a water over-floating signal, a location suitable signal and a water low-floating signal according to the comparison of the aquaculture site selection coefficient to mark the alternative waters and the preset aquaculture waters; real-time monitoring of the fishery environment of the preset aquaculture waters, and dividing the preset aquaculture waters into alternative aquaculture waters and determined aquaculture waters according to the monitoring results; after completing the site selection of the aquaculture waters, analyzing the behavior of the fish school in the determined aquaculture waters, and real-time monitoring of the environmental impact of the determined aquaculture waters.

Description

Technical Field

[0001] The present invention relates to the technical field of fishery production management, and in particular to a smart fishery information production management method and system based on the Internet of Things. Background Art

[0002] Fishery, other name: aquaculture Definition 1: It is a social industry sector in which humans utilize the material transformation function of organisms in water bodies to obtain aquatic products through fishing, breeding and processing; discipline: Fisheries (first-level discipline); Basic Fisheries Science (second-level discipline) Definition 2: The field engaged in fish and other fishing, breeding or processing production; discipline: Resource Science and Technology (first-level discipline); Animal Resources (second-level discipline).

[0003] However, in the existing technology, during the fishery production process, it is not possible to screen the aquaculture waters through information collection and analysis, and it is not possible to further screen and select the waters based on the fishery environment monitoring of the waters, which reduces the efficiency of fishery farming.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an intelligent fishery information production management system and method based on the Internet of Things.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] According to the first aspect of the present application, a method for intelligent fishery information production management based on the Internet of Things is provided, the method comprising:

[0008] Through data collection and analysis, water areas for fishery aquaculture are selected to obtain aquaculture water areas;

[0009] Screen the aquaculture waters through information analysis and divide the current aquaculture waters into several sub-waters;

[0010] Analyze the location of each sub-water area and obtain the aquaculture site selection coefficient of each sub-water area;

[0011] Generate water over-floating signals, location suitability signals and water under-floating signals based on the comparison of aquaculture site selection coefficients, and mark the corresponding sub-water areas as candidate water areas based on the water over-floating signals and water under-floating signals, and mark the corresponding water areas as preset aquaculture water areas based on the location suitability signals;

[0012] Conduct real-time monitoring of the fishery environment in the pre-set aquaculture waters, and divide the pre-set aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the results of the real-time monitoring of the fishery environment;

[0013] After completing the site selection for aquaculture waters, conduct fish behavior analysis on the determined aquaculture waters, and conduct real-time monitoring of the degree of environmental impact of the determined aquaculture waters.

[0014] Preferably, the analysis of the water area location of each sub-water area to obtain the aquaculture site selection coefficient of each sub-water area specifically includes:

[0015] Obtain the maximum reciprocating floating value of the water flow velocity between the adjacent water area at the location of the sub-water area and the sub-water area;

[0016] Obtain the short-term change in water flow in the adjacent upstream water area where the sub-water area is located and the short-term maximum floating amount of the number of water flow paths in the adjacent downstream water area where the sub-water area is located;

[0017] The aquaculture site selection coefficient of each sub-water area is obtained by analyzing the maximum reciprocating floating amount, the short-time change amount and the short-time maximum floating amount.

[0018] Preferably, the method generates a water over-floating signal, a location suitable signal and a water under-floating signal according to the comparison of the aquaculture site selection coefficient, and marks the corresponding sub-water area as an alternative water area according to the water over-floating signal and the water under-floating signal, and marks the corresponding water area as a preset aquaculture water area according to the location suitable signal, specifically including:

[0019] Compare the aquaculture site selection coefficient of each sub-water area with the aquaculture site selection coefficient threshold range:

[0020] If the aquaculture site selection coefficient of the sub-water area exceeds the maximum value of the aquaculture site selection coefficient threshold range, a water over-floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area;

[0021] If the aquaculture site selection coefficient of the sub-water area does not exceed the minimum value of the aquaculture site selection coefficient threshold, a water low floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area;

[0022] If the aquaculture site selection coefficient of the sub-water area is within the aquaculture site selection coefficient threshold range, a location suitability signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as a preset aquaculture water area.

[0023] Preferably, the real-time monitoring of the fishery environment of the preset aquaculture waters is carried out, and the preset aquaculture waters are divided into candidate aquaculture waters and determined aquaculture waters according to the real-time monitoring results of the fishery environment, specifically including:

[0024] The environmental monitoring period is set for the preset aquaculture waters, and the environmental monitoring period is composed of the distribution of different periods of the preset aquaculture waters;

[0025] Obtain water quality parameters and water environment parameters in preset aquaculture waters;

[0026] According to the current environmental monitoring period, the water quality parameters and water area environmental parameters are numerically collected and the water quality parameter curve and water area environmental parameter curve are constructed. If the water quality parameters and water area environmental parameters correspond to multiple parameters with continuous influence, the corresponding parameter curve is not unique. Otherwise, the water quality parameters and water area environmental parameters corresponding to the continuous influence parameters are used as parameter curve objects.

[0027] The environmental monitoring period is divided into several sub-periods, and the fluctuation of parameter values ​​is divided into favorable trends and unfavorable trends according to the influencing properties of water quality parameters and water area environmental parameters;

[0028] Obtain the numerical ratio of the total proportion of overlapping sub-periods with no favorable trend and the total proportion of overlapping sub-periods with favorable trend corresponding to the water quality parameter curve and the water area environment parameter curve during the environmental monitoring period;

[0029] Obtain the frequency growth rate of the change from a favorable trend to an unfavorable trend of the corresponding curve when any of the water quality parameter curve and the water area environment parameter curve is in an unfavorable trend during the environmental monitoring period;

[0030] If the numerical ratio exceeds a preset numerical ratio threshold, or the conversion frequency growth rate exceeds a preset conversion frequency growth rate threshold, a non-continuous breeding signal is generated, and the corresponding breeding waters are monitored for parameters and the corresponding breeding waters are used as alternative breeding waters when short-term breeding is required;

[0031] If the numerical ratio does not exceed the numerical ratio threshold, and the transition frequency growth rate does not exceed the transition frequency growth rate threshold, a continuous breeding signal is generated and the corresponding breeding water area is marked as a confirmed breeding water area.

[0032] Preferably, the fish school behavior analysis is performed on the determined aquaculture waters, and the environmental impact of the determined aquaculture waters is monitored in real time, specifically including:

[0033] According to the feeding point area and the oxygenation point area in the aquaculture water area, the reduction span of the increase speed of the aquaculture fish in the oxygenation point area before the start time of the oxygenation cycle in the real-time aquaculture process in the aquaculture water area is obtained;

[0034] Collect and determine the overlapping time of the period when the number of fish increases during the real-time breeding process in the breeding waters and the period when the average number of fish decreases in the feeding point area corresponding to the feeding time;

[0035] The reduction span and the overlap duration are compared with the preset speed reduction span threshold and overlap duration threshold respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result.

[0036] Preferably, the reduction span and the overlap duration are compared with a preset speed reduction span threshold and an overlap duration threshold, respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result, specifically including:

[0037] If the reduction span exceeds a preset speed reduction span threshold, or the overlap duration exceeds a preset overlap duration threshold, a fish farming detection signal is generated;

[0038] If the reduction span does not exceed the speed reduction span threshold, and the overlap duration amount does not exceed the overlap duration amount threshold, a fish farming stability signal is generated;

[0039] According to the fish farming detection signal, the oxygenation cycle and feeding cycle of the corresponding determined farming water area are adjusted;

[0040] The corresponding determined aquaculture waters are continuously monitored in real time according to the fish farming stability signal.

[0041] Preferably, the corresponding determined aquaculture water area is continuously monitored in real time according to the fish farming stability signal, specifically including:

[0042] Determine the changes in the surrounding environment of the aquaculture waters into sudden increases in rainfall and increased environmental pressure;

[0043] Obtain and determine the period of change of the surrounding environment of the aquaculture waters, and collect the average duration of the change from the favorable trend to the unfavorable trend of each parameter of the water quality parameter curve and the water area environment parameter curve according to the period of change of the surrounding environment, and the overlap of the period of change of the surrounding environment;

[0044] According to the overlapped amount corresponding to the time period, the duration of time when the growth rate of the fish breeding amount corresponding to the overlapped amount corresponding to the time period in the breeding waters has not increased;

[0045] Compare the overlap amount and the duration of continuous no growth with a preset time period overlap amount threshold and a preset duration of continuous no growth threshold to generate an impact degree signal;

[0046] Based on the impact level signal, the corresponding aquaculture waters are continuously monitored in real time.

[0047] Preferably, the step of comparing the overlap amount and the continuous non-increase duration with a preset time period overlap amount threshold and a preset continuous non-increase duration threshold to generate an impact degree signal comprises:

[0048] If the overlap exceeds the time period overlap threshold, or the duration of continuous no growth exceeds the duration of continuous no growth threshold, a high impact signal is generated;

[0049] If the overlap amount does not exceed the time period overlap amount threshold, and the continuous no-growth duration does not exceed the continuous no-growth duration threshold, a low impact signal is generated;

[0050] Preferably, the continuous real-time monitoring of the corresponding determined aquaculture waters according to the impact degree signal includes:

[0051] Manage the farmed fish in the corresponding identified aquaculture waters according to the high-impact signals, and conduct real-time monitoring and maintenance of the farmed fish before and after environmental changes;

[0052] A regulatory strategy is developed to conduct random sampling inspections of farmed fish populations in corresponding aquaculture waters based on low-impact signals.

[0053] According to a second aspect of the present application, there is provided a smart fishery information production management system based on the Internet of Things, including an information management platform, the information management platform is communicatively connected to a breeding water site selection unit, a water division unit, a breeding site selection coefficient acquisition unit, a breeding water pre-classification unit, a breeding water classification unit, a fishery environment real-time monitoring unit, a fish school behavior analysis unit, and an impact degree real-time supervision unit;

[0054] Aquaculture water site selection unit, used to select aquaculture waters through data collection and analysis;

[0055] The water area division unit is used to screen the aquaculture water area through information analysis and divide the current aquaculture water area into several sub-water areas;

[0056] Aquaculture site selection coefficient acquisition unit, used to analyze the location of each sub-water area and obtain the aquaculture site selection coefficient of each sub-water area;

[0057] Aquaculture water pre-classification unit, used to generate water over-floating signal, location suitability signal and water under-floating signal according to the comparison of aquaculture site selection coefficient, and mark the corresponding sub-water area as candidate water area according to the water over-floating signal and water under-floating signal, and mark the corresponding water area as preset aquaculture water area according to the location suitability signal;

[0058] Aquaculture water classification unit, used to conduct real-time monitoring of the fishery environment of the preset aquaculture waters, and divide the preset aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the real-time monitoring results of the fishery environment;

[0059] Fish school behavior analysis unit, used to analyze the fish school behavior in the determined aquaculture waters after the site selection of the aquaculture waters is completed;

[0060] The real-time monitoring unit for the degree of impact is used to carry out real-time monitoring of the degree of environmental impact on aquaculture waters.

[0061] According to the third aspect of the present application, a computer storage medium is provided, characterized in that a computer-readable program is stored thereon, and when the computer-readable program is executed, the smart fishery information production management method based on the Internet of Things described in the first aspect is implemented.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] 1. In the present invention, water areas for fishery breeding are selected through data collection and analysis, and the breeding water areas are reasonably screened through information analysis to ensure the efficiency of fishery breeding and ensure that the breeding water areas will not reduce the progress of fishery breeding, making the fishery breeding process more intelligent and reasonable; the fishery environment of the preset breeding water areas is monitored in real time to determine whether the water environment of the current preset breeding water areas is suitable for the fishery breeding environment, and the feasibility of fishery breeding production is improved through information analysis, ensuring that the real-time screening of water areas meets the breeding needs, and avoiding the reduction of fishery breeding production due to unsuitable water areas.

[0064] 2. In the present invention, the behavior of fish schools is analyzed in the determined aquaculture waters to determine whether there are any abnormalities in the behavior of fish schools in the aquaculture waters during the aquaculture process, thereby evaluating the fish aquaculture efficiency, facilitating timely management and rectification of fish schools when fish aquaculture is abnormal, and reducing the risks caused by untimely supervision of fish aquaculture; real-time supervision is performed on the environmental impact degree of the determined aquaculture waters, facilitating timely maintenance of farmed fish schools when the external environment of the aquaculture waters changes, reducing the impact of environmental changes, and improving the real-time aquaculture efficiency of the aquaculture waters; and the environmental impact degree of the aquaculture waters can be accurately analyzed through information-based collection and analysis, so that it can be accurately rectified. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0066] Figure 1 It is a flow chart of a smart fishery information production management method based on the Internet of Things of the present invention;

[0067] Figure 2 This is an architecture diagram of an intelligent fishery information production management system based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0068] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0070] like Figure 1 As shown, the specific steps of a smart fishery information production management method based on the Internet of Things in this embodiment may include:

[0071] S110, selecting aquaculture waters for fishery aquaculture through data collection and analysis to obtain aquaculture waters.

[0072] Specifically, by receiving the aquaculture water site selection signal, the water area for fishery aquaculture can be selected according to the aquaculture water site selection signal, and the aquaculture water area can be reasonably screened through information analysis to ensure the efficiency of fishery aquaculture, ensure that the aquaculture water area will not reduce the progress of fishery aquaculture, and make the fishery aquaculture process more intelligent and reasonable.

[0073] S120. Screen the aquaculture waters through information analysis and divide the current aquaculture waters into a number of sub-waters; specifically, divide the current aquaculture waters into i sub-waters, where i is a natural number greater than 1.

[0074] S130, analyzing the location of each sub-water area to obtain the aquaculture site selection coefficient of each sub-water area. The specific steps of S130 are as follows:

[0075] Obtain the maximum reciprocating floating value of the water flow velocity between the adjacent water area at the location of the sub-water area and the sub-water area, recorded as FDL;

[0076] Obtain the short-term change in the water flow of the adjacent upstream water area where the sub-water area is located, recorded as GBL, and the short-term maximum floating amount of the number of water flow paths of the adjacent downstream water area where the sub-water area is located, recorded as DSL; where short-term refers to the set unit collection time period of data collection;

[0077] Analyze and obtain the aquaculture site selection coefficient of each sub-water area according to the maximum reciprocating floating amount, the short-time change amount, and the short-time maximum floating amount;

[0078] Specifically, through the formula The aquaculture site selection coefficient G of each sub-water area in the water area is obtained, where de1, de2 and de3 are the preset proportional coefficients of the reciprocating floating amount of the water circulation velocity, the change in water flow and the change in the number of water flow paths, respectively, and e is a natural constant, and β is an error correction factor, which can be taken as 0.98.

[0079] S140, generating a water over-floating signal, a location suitable signal and a water low-floating signal according to the comparison of the aquaculture site selection coefficient, and marking the corresponding sub-water area as an alternative water area according to the water over-floating signal and the water low-floating signal, and marking the corresponding water area as a preset aquaculture water area according to the location suitable signal; specifically:

[0080] Compare the aquaculture site selection coefficient G of each sub-water area with the aquaculture site selection coefficient threshold range:

[0081] If the aquaculture site selection coefficient G of the sub-water area exceeds the maximum value of the aquaculture site selection coefficient threshold range, it is determined that the water flow and water flow velocity of the corresponding sub-water area in the water area fluctuate too much, causing the sub-water area to be unable to guarantee the water supply efficiency of the aquaculture water area, and a water over-floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area;

[0082] If the aquaculture site selection coefficient G of the sub-water area does not exceed the minimum value of the aquaculture site selection coefficient threshold, it is determined that the water flow and water flow velocity of the corresponding sub-water area in the water area are too small, causing the sub-water area to be unable to guarantee the water quality of the aquaculture water area, and a water low floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area;

[0083] If the aquaculture site selection coefficient of the sub-water area is within the aquaculture site selection coefficient threshold range, the water area location of the corresponding sub-water area in the water area is determined to be suitable for fishery aquaculture, a location suitability signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as a preset aquaculture water area.

[0084] S150, performing real-time monitoring of the fishery environment of the preset aquaculture waters, and dividing the preset aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the real-time monitoring results of the fishery environment;

[0085] During the specific implementation process, after receiving the real-time monitoring signal of the fishery environment, the preset aquaculture waters can be monitored in real time to determine whether the water environment of the current preset aquaculture waters is suitable for the fishery breeding environment. The feasibility of fishery breeding production is improved through information analysis, ensuring real-time screening of water areas to meet breeding needs and avoiding a reduction in fishery breeding production due to unsuitable water areas.

[0086] The specific steps of S150 may include:

[0087] The environmental monitoring period is set for the preset aquaculture waters, and the environmental monitoring period is composed of the distribution of different periods of the preset aquaculture waters;

[0088] Obtain water quality parameters and water environment parameters in the preset aquaculture waters; water quality parameters are represented by water pH, water temperature and other parameters, and water environment parameters are represented by ambient temperature, pollutant increase and other parameters.

[0089] According to the current environmental monitoring period, the water quality parameters and water area environmental parameters are numerically collected and the water quality parameter curve and water area environmental parameter curve are constructed. If the water quality parameters and water area environmental parameters correspond to multiple parameters with continuous influence, the corresponding parameter curve is not unique. Otherwise, the water quality parameters and water area environmental parameters corresponding to the continuous influence parameters are used as parameter curve objects.

[0090] The environmental monitoring period is divided into several sub-periods, and the fluctuation of parameter values ​​is divided into favorable trends and unfavorable trends according to the influencing properties of water quality parameters and water area environmental parameters;

[0091] Obtain the numerical ratio of the total proportion of overlapping sub-periods with no favorable trend and the total proportion of overlapping sub-periods with favorable trend corresponding to the water quality parameter curve and the water area environment parameter curve during the environmental monitoring period;

[0092] Obtain the frequency growth rate of the change from a favorable trend to an unfavorable trend of the corresponding curve when any of the water quality parameter curve and the water area environment parameter curve is in an unfavorable trend during the environmental monitoring period;

[0093] If the numerical ratio exceeds a preset numerical ratio threshold, or the change frequency growth rate exceeds a preset change frequency growth rate threshold, it is determined that the preset aquaculture waters cannot be continuously aquacultured, a non-sustainable aquaculture signal is generated, and the corresponding aquaculture waters are monitored for parameters and when short-term aquaculture is required, the corresponding aquaculture waters are used as alternative aquaculture waters;

[0094] If the numerical ratio does not exceed the numerical ratio threshold, and the transition frequency growth rate does not exceed the transition frequency growth rate threshold, it is determined that the preset aquaculture waters are suitable for continuous aquaculture, a continuous aquaculture signal is generated and the corresponding aquaculture waters are marked as confirmed aquaculture waters.

[0095] S160. After the site selection of aquaculture waters is completed, fish behavior analysis is conducted on the determined aquaculture waters, and the environmental impact of the determined aquaculture waters is monitored in real time.

[0096] During the specific implementation process, after the site selection of the aquaculture waters is completed, a fish behavior analysis signal can be generated, and the fish behavior analysis can be performed on the determined aquaculture waters based on the fish behavior analysis signal to determine whether there are any abnormalities in the behavior of the fish in the aquaculture waters during the aquaculture process, thereby evaluating the fish farming efficiency, facilitating timely management and rectification of the fish when fish farming is abnormal, and reducing the risks caused by untimely supervision of fish farming; at the same time, real-time supervision can be carried out on the degree of environmental impact of the determined aquaculture waters.

[0097] The specific steps of S160 may include:

[0098] According to the feeding point area and the oxygenation point area in the aquaculture water area, the reduction span of the increase speed of the aquaculture fish in the oxygenation point area before the start time of the oxygenation cycle in the real-time aquaculture process in the aquaculture water area is obtained;

[0099] Collect and determine the overlapping time of the period when the number of fish increases during the real-time breeding process in the breeding waters and the period when the average number of fish decreases in the feeding point area corresponding to the feeding time;

[0100] The reduction span and the overlap duration are compared with the preset speed reduction span threshold and overlap duration threshold respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result.

[0101] The reduced span and the overlap duration are compared with the preset speed reduced span threshold and overlap duration threshold, respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result. The specific steps may include:

[0102] If the reduction span exceeds a preset speed reduction span threshold, or the overlap duration exceeds a preset overlap duration threshold, it is determined that the behavior of the fish school in the aquaculture waters is abnormal, and a fish school aquaculture detection signal is generated;

[0103] If the reduction span does not exceed the speed reduction span threshold, and the overlap duration does not exceed the overlap duration threshold, it is determined that the behavior of the fish school in the aquaculture waters is normal, and a fish school aquaculture stability signal is generated;

[0104] The oxygenation cycle and feeding cycle of the corresponding determined aquaculture waters are adjusted according to the fish breeding detection signal; in specific implementation, the fish breeding detection signal can be transferred to the breeding personnel terminal to screen the fish schools corresponding to the determined aquaculture waters, and the oxygenation cycle and feeding cycle can be adjusted according to actual breeding needs.

[0105] According to the fish farming stability signal, the corresponding determined aquaculture waters are continuously monitored in real time. Specifically, a real-time monitoring signal of the degree of impact can be generated, and the degree of environmental impact of the determined aquaculture waters can be monitored in real time according to the real-time monitoring signal of the degree of impact, so as to facilitate timely maintenance of the farmed fish when the external environment of the aquaculture waters changes, reduce the impact of environmental changes, improve the real-time aquaculture efficiency of the aquaculture waters, and accurately analyze the degree of environmental impact of the aquaculture waters through information collection and analysis, so that accurate rectification can be carried out. Specifically:

[0106] Determine the changes in the surrounding environment of the aquaculture waters into sudden increases in rainfall and increased environmental pressure;

[0107] Obtain and determine the period of change of the surrounding environment of the aquaculture waters, and collect the average duration of the change from the favorable trend to the unfavorable trend of each parameter of the water quality parameter curve and the water area environment parameter curve according to the period of change of the surrounding environment, and the overlap of the period of change of the surrounding environment;

[0108] According to the overlapped amount corresponding to the time period, the duration of time when the growth rate of the fish breeding amount corresponding to the overlapped amount corresponding to the time period in the breeding waters has not increased;

[0109] If the overlap exceeds the time period overlap threshold, or the duration of continuous no growth exceeds the duration of continuous no growth threshold, it is determined that the environmental impact analysis of the aquaculture waters is abnormal, and a high impact signal is generated;

[0110] If the overlap amount does not exceed the time period overlap amount threshold, and the continuous no-growth duration does not exceed the continuous no-growth duration threshold, it is determined that the environmental impact analysis of the aquaculture waters is normal, and a low impact signal is generated;

[0111] Manage the farmed fish in the corresponding identified aquaculture waters according to the high-impact signals, and conduct real-time monitoring and maintenance of the farmed fish before and after environmental changes;

[0112] A supervision strategy of random sampling of farmed fish in the corresponding aquaculture waters is implemented according to low-impact signals to reduce the monitoring input cost of farmed fish.

[0113] When the present invention is in use, water areas for fishery aquaculture are selected through data collection and analysis, aquaculture water areas are reasonably screened through information analysis, the current water area is divided into i sub-water areas, the location of each sub-water area is analyzed, and the aquaculture site selection coefficient of each sub-water area in the water area is obtained. A water over-floating signal and a water under-floating signal are generated according to the comparison of the aquaculture site selection coefficients, and the sub-water areas are divided into alternative water areas and preset aquaculture water areas according to the signal type; and the preset aquaculture water area is monitored in real time for the fishery environment, and the preset aquaculture water area is divided into alternative aquaculture water areas and determined aquaculture water areas according to the real-time monitoring and analysis of the fishery environment; after the site selection of the aquaculture water area is completed, the fish school behavior analysis is performed on the determined aquaculture water area, and at the same time, the environmental impact degree of the determined aquaculture water area is monitored in real time through the real-time impact degree monitoring unit.

[0114] Attached Figure 2 As shown, this embodiment also provides a smart fishery information production management system based on the Internet of Things, which includes an information management platform, and the information management platform is communicatively connected to a breeding water site selection unit, a water area division unit, a breeding site selection coefficient acquisition unit, a breeding water pre-classification unit, a breeding water classification unit, a fishery environment real-time monitoring unit, a fish school behavior analysis unit and an impact degree real-time supervision unit.

[0115] The aquaculture water site selection unit is used to select aquaculture waters for fishery aquaculture through data collection and analysis.

[0116] Specifically, a breeding water site selection signal can be generated through the information management platform and sent to the breeding water site selection unit. The breeding water site selection unit performs the water selection operation according to the breeding water site selection signal. The breeding waters are rationally screened through information analysis to ensure the efficiency of fishery breeding, ensure that the breeding waters will not reduce the progress of fishery breeding, and make the fishery breeding process more intelligent and reasonable.

[0117] The water area division unit is used to screen the aquaculture water area through information analysis and divide the current aquaculture water area into a number of sub-water areas. Specifically, the current aquaculture water area is divided into i sub-water areas, where i is a natural number greater than 1.

[0118] The aquaculture site selection coefficient acquisition unit is used to analyze the water area location of each sub-water area and obtain the aquaculture site selection coefficient of each sub-water area.

[0119] Specifically, the breeding site selection coefficient acquisition unit is used to:

[0120] Obtain the maximum reciprocating floating value of the water flow velocity between the adjacent water area at the location of the sub-water area and the sub-water area, recorded as FDL;

[0121] Obtain the short-term change in the water flow of the adjacent upstream water area where the sub-water area is located, recorded as GBL, and the short-term maximum floating amount of the number of water flow paths of the adjacent downstream water area where the sub-water area is located, recorded as DSL; where short-term refers to the set unit collection time period of data collection;

[0122] Analyze and obtain the aquaculture site selection coefficient of each sub-water area according to the maximum reciprocating floating amount, the short-time change amount, and the short-time maximum floating amount;

[0123] Specifically, through the formula The aquaculture site selection coefficient G of each sub-water area in the water area is obtained, where de1, de2 and de3 are the preset proportional coefficients of the reciprocating floating amount of the water circulation velocity, the change in water flow and the change in the number of water flow paths, respectively, and e is a natural constant, and β is an error correction factor, which can be taken as 0.98.

[0124] The aquaculture water pre-classification unit is used to generate water over-floating signals, location suitability signals and water low-floating signals based on the comparison of aquaculture site selection coefficients, and mark the corresponding sub-water areas as alternative water areas based on the water over-floating signals and water low-floating signals, and mark the corresponding water areas as preset aquaculture water areas based on the location suitability signals.

[0125] In the specific implementation process, the preset aquaculture waters and the alternative waters can be marked by the aquaculture water pre-classification unit, and can also be achieved in the following ways:

[0126] The aquaculture water pre-classification unit sends the water over-floating signal, water under-floating signal and corresponding sub-water area to the information management platform. After receiving the water over-floating signal and water under-floating signal through the information management platform, the sub-water area is monitored and controlled in real time and used as an alternative water area for the aquaculture area when the water flow and water flow speed fluctuate normally.

[0127] The aquaculture water pre-classification unit sends the location suitability signal and the corresponding sub-water area to the information management platform, and the corresponding sub-water area is marked as a preset aquaculture water area through the information management platform. At the same time, a real-time monitoring signal of the fishery environment is generated and sent to the aquaculture water classification unit.

[0128] Specifically, the aquaculture water pre-classification unit is used to:

[0129] Compare the aquaculture site selection coefficient G of each sub-water area with the aquaculture site selection coefficient threshold range:

[0130] If the aquaculture site selection coefficient G of the sub-water area exceeds the maximum value of the aquaculture site selection coefficient threshold range, it is determined that the water flow and water flow velocity of the corresponding sub-water area in the water area fluctuate too much, causing the sub-water area to be unable to guarantee the water supply efficiency of the aquaculture water area, and a water over-floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area;

[0131] If the aquaculture site selection coefficient G of the sub-water area does not exceed the minimum value of the aquaculture site selection coefficient threshold, it is determined that the water flow and water flow velocity of the corresponding sub-water area in the water area are too small, causing the sub-water area to be unable to guarantee the water quality of the aquaculture water area, and a water low floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area;

[0132] If the aquaculture site selection coefficient of the sub-water area is within the aquaculture site selection coefficient threshold range, the water area location of the corresponding sub-water area in the water area is determined to be suitable for fishery aquaculture, a location suitability signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as a preset aquaculture water area.

[0133] The aquaculture water classification unit is used to conduct real-time monitoring of the fishery environment of the preset aquaculture waters, and divide the preset aquaculture waters into alternative aquaculture waters and confirmed aquaculture waters according to the real-time monitoring results of the fishery environment. Specifically, after receiving the real-time monitoring signal of the fishery environment, the aquaculture water classification unit conducts real-time monitoring of the fishery environment of the preset aquaculture waters to determine whether the water environment of the current preset aquaculture waters is suitable for the fishery aquaculture environment. Through information analysis, the feasibility of fishery aquaculture production is improved, ensuring that the waters are screened in real time to meet the aquaculture needs, and avoiding the reduction of fishery aquaculture production due to unsuitable waters.

[0134] Specifically, the aquaculture waters taxonomy is used to:

[0135] The environmental monitoring period is set for the preset aquaculture waters, and the environmental monitoring period is composed of the distribution of different periods of the preset aquaculture waters;

[0136] Obtain water quality parameters and water environment parameters in the preset aquaculture waters; water quality parameters are represented by water pH, water temperature and other parameters, and water environment parameters are represented by ambient temperature, pollutant increase and other parameters.

[0137] According to the current environmental monitoring period, the water quality parameters and water area environmental parameters are numerically collected and the water quality parameter curve and water area environmental parameter curve are constructed. If the water quality parameters and water area environmental parameters correspond to multiple parameters with continuous influence, the corresponding parameter curve is not unique. Otherwise, the water quality parameters and water area environmental parameters corresponding to the continuous influence parameters are used as parameter curve objects.

[0138] The environmental monitoring period is divided into several sub-periods, and the fluctuation of parameter values ​​is divided into favorable trends and unfavorable trends according to the influencing properties of water quality parameters and water area environmental parameters;

[0139] Obtain the numerical ratio of the total proportion of overlapping sub-periods with no favorable trend and the total proportion of overlapping sub-periods with favorable trend corresponding to the water quality parameter curve and the water area environment parameter curve during the environmental monitoring period;

[0140] Obtain the frequency growth rate of the change from a favorable trend to an unfavorable trend of the corresponding curve when any of the water quality parameter curve and the water area environment parameter curve is in an unfavorable trend during the environmental monitoring period;

[0141] If the numerical ratio exceeds a preset numerical ratio threshold, or the change frequency growth rate exceeds a preset change frequency growth rate threshold, it is determined that the preset aquaculture waters cannot be continuously aquacultured, a non-sustainable aquaculture signal is generated, and the corresponding aquaculture waters are monitored for parameters and when short-term aquaculture is required, the corresponding aquaculture waters are used as alternative aquaculture waters;

[0142] If the numerical ratio does not exceed the numerical ratio threshold, and the transition frequency growth rate does not exceed the transition frequency growth rate threshold, it is determined that the preset aquaculture waters are suitable for continuous aquaculture, a continuous aquaculture signal is generated and the corresponding aquaculture waters are marked as confirmed aquaculture waters.

[0143] The fish school behavior analysis unit is used to conduct fish school behavior analysis on the determined aquaculture waters after the site selection of the aquaculture waters is completed.

[0144] During the specific implementation process, after the site selection of the aquaculture waters is completed, a fish school behavior analysis signal can be generated through the information management platform and sent to the fish school behavior analysis unit. The fish school behavior analysis unit performs fish school behavior analysis on the determined aquaculture waters according to the fish school behavior analysis signal, and determines whether there are any abnormalities in the behavior of the fish schools in the aquaculture waters during the aquaculture process, thereby evaluating the fish farming efficiency, facilitating timely management and rectification of the fish schools when abnormalities occur in the fish farming, and reducing the risks caused by untimely supervision of fish farming.

[0145] Specifically, the fish behavior analysis unit is used to:

[0146] According to the feeding point area and the oxygenation point area in the aquaculture water area, the reduction span of the increase speed of the aquaculture fish in the oxygenation point area before the start time of the oxygenation cycle in the real-time aquaculture process in the aquaculture water area is obtained;

[0147] Collect and determine the overlapping time of the period when the number of fish increases during the real-time breeding process in the breeding waters and the period when the average number of fish decreases in the feeding point area corresponding to the feeding time;

[0148] The reduction span and the overlap duration are compared with the preset speed reduction span threshold and overlap duration threshold respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result.

[0149] The reduced span and the overlap duration are compared with the preset speed reduced span threshold and overlap duration threshold, respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result. The specific steps may include:

[0150] If the reduction span exceeds a preset speed reduction span threshold, or the overlap duration exceeds a preset overlap duration threshold, it is determined that the behavior of the fish school in the aquaculture waters is abnormal, and a fish school aquaculture detection signal is generated;

[0151] If the reduction span does not exceed the speed reduction span threshold, and the overlap duration does not exceed the overlap duration threshold, it is determined that the behavior of the fish school in the aquaculture waters is normal, and a fish school aquaculture stability signal is generated;

[0152] The oxygenation cycle and feeding cycle of the corresponding determined aquaculture waters are adjusted according to the fish breeding detection signal; in specific implementation, the fish breeding detection signal can be sent to an information management platform, and the information management platform transfers the fish breeding detection signal to the breeding personnel terminal to screen the fish schools corresponding to the determined aquaculture waters, and adjust the oxygenation cycle and feeding cycle according to actual breeding needs.

[0153] The corresponding determined aquaculture waters are continuously monitored in real time according to the fish farming stability signal.

[0154] Specifically, a real-time monitoring signal of the impact degree can be generated and sent to a real-time monitoring unit of the impact degree. The real-time monitoring unit of the impact degree can monitor the environmental impact degree of the aquaculture waters in real time according to the real-time monitoring signal of the impact degree, so as to facilitate timely maintenance of the farmed fish when the external environment of the aquaculture waters changes, reduce the impact of environmental changes, improve the real-time aquaculture efficiency of the aquaculture waters, and accurately analyze the environmental impact degree of the aquaculture waters through information collection and analysis, so that accurate rectification can be carried out.

[0155] The real-time monitoring unit for the degree of impact is used to carry out real-time monitoring of the degree of environmental impact on aquaculture waters.

[0156] Specifically: the impact degree real-time monitoring unit can perform real-time monitoring on the environmental impact degree of the aquaculture waters by receiving the impact degree real-time monitoring signal.

[0157] Specifically, the real-time impact monitoring unit is used to:

[0158] Determine the changes in the surrounding environment of the aquaculture waters into sudden increases in rainfall and increased environmental pressure;

[0159] Obtain and determine the period of change of the surrounding environment of the aquaculture waters, and collect the average duration of the change from the favorable trend to the unfavorable trend of each parameter of the water quality parameter curve and the water area environment parameter curve according to the period of change of the surrounding environment, and the overlap of the period of change of the surrounding environment;

[0160] According to the overlapped amount corresponding to the time period, the duration of time when the growth rate of the fish breeding amount corresponding to the overlapped amount corresponding to the time period in the breeding waters has not increased;

[0161] If the overlap exceeds the time period overlap threshold, or the duration of continuous no growth exceeds the duration of continuous no growth threshold, it is determined that the environmental impact analysis of the aquaculture waters is abnormal, and a high impact signal is generated;

[0162] If the overlap amount does not exceed the time period overlap amount threshold, and the continuous no-growth duration does not exceed the continuous no-growth duration threshold, it is determined that the environmental impact analysis of the aquaculture waters is normal, and a low impact signal is generated;

[0163] Manage the farmed fish in the corresponding identified aquaculture waters according to the high-impact signals, and conduct real-time monitoring and maintenance of the farmed fish before and after environmental changes;

[0164] A supervision strategy of random sampling of farmed fish in the corresponding aquaculture waters is implemented according to low-impact signals to reduce the monitoring input cost of farmed fish.

[0165] The above formulas are all obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions.

[0166] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned smart fishery information production management method based on the Internet of Things. The specific implementation can be found in the embodiment and will not be repeated here.

[0167] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0168] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A smart fishery information production management method based on the Internet of Things, characterized in that: Methods include: Through data collection and analysis, water areas for fishery aquaculture are selected to obtain aquaculture water areas; Through information analysis, the aquaculture waters are rationally screened and the current aquaculture waters are divided into several sub-waters; Analyze the location of each sub-water area and obtain the aquaculture site selection coefficient of each sub-water area; Generate water over-floating signals, location suitability signals and water under-floating signals based on the comparison of aquaculture site selection coefficients, and mark the corresponding sub-water areas as candidate water areas based on the water over-floating signals and water under-floating signals, and mark the corresponding water areas as preset aquaculture water areas based on the location suitability signals; Conduct real-time monitoring of the fishery environment in the pre-set aquaculture waters, and divide the pre-set aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the results of the real-time monitoring of the fishery environment; After the site selection of the aquaculture waters is completed, the fish behavior analysis is carried out in the determined aquaculture waters, and the environmental impact of the determined aquaculture waters is monitored in real time; The real-time monitoring of the fishery environment of the preset aquaculture waters and the division of the preset aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the real-time monitoring results of the fishery environment specifically include: The environmental monitoring period is set for the preset aquaculture waters, and the environmental monitoring period is composed of the distribution of different periods of the preset aquaculture waters; Obtain water quality parameters and water environment parameters in preset aquaculture waters; According to the current environmental monitoring period, the water quality parameters and water area environmental parameters are numerically collected and the water quality parameter curve and water area environmental parameter curve are constructed. If the water quality parameters and water area environmental parameters correspond to multiple parameters with continuous influence, the corresponding parameter curve is not unique. Otherwise, the water quality parameters and water area environmental parameters corresponding to the continuous influence parameters are used as parameter curve objects. The environmental monitoring period is divided into several sub-periods, and the fluctuation of parameter values ​​is divided into favorable trends and unfavorable trends according to the influencing properties of water quality parameters and water area environmental parameters; Obtain the numerical ratio of the total proportion of overlapping sub-periods with no favorable trend and the total proportion of overlapping sub-periods with favorable trend corresponding to the water quality parameter curve and the water area environment parameter curve during the environmental monitoring period; Obtain the frequency growth rate of the change from a favorable trend to an unfavorable trend of the corresponding curve when any of the water quality parameter curve and the water area environment parameter curve is in an unfavorable trend during the environmental monitoring period; If the numerical ratio exceeds a preset numerical ratio threshold, or the conversion frequency growth rate exceeds a preset conversion frequency growth rate threshold, a non-continuous breeding signal is generated, and the corresponding breeding waters are monitored for parameters and the corresponding breeding waters are used as alternative breeding waters when short-term breeding is required; If the numerical ratio does not exceed the numerical ratio threshold, and the transition frequency growth rate does not exceed the transition frequency growth rate threshold, a continuous breeding signal is generated and the corresponding breeding water area is marked as a confirmed breeding water area.

2. The method for intelligent fishery information production management based on the Internet of Things according to claim 1 is characterized in that: The analysis of the water area location of each sub-water area to obtain the aquaculture site selection coefficient of each sub-water area specifically includes: Obtain the maximum reciprocating floating value of the water flow velocity between the adjacent water area at the location of the sub-water area and the sub-water area; Obtain the short-term change in water flow in the adjacent upstream water area where the sub-water area is located and the short-term maximum floating amount of the number of water flow paths in the adjacent downstream water area where the sub-water area is located; The aquaculture site selection coefficient of each sub-water area is obtained by analyzing the maximum reciprocating floating amount, the short-time change amount and the short-time maximum floating amount.

3. The method for intelligent fishery information production management based on the Internet of Things according to claim 1 is characterized in that: The method generates a water over-floating signal, a location suitable signal and a water under-floating signal according to the comparison of the aquaculture site selection coefficient, and marks the corresponding sub-water area as an alternative water area according to the water over-floating signal and the water under-floating signal, and marks the corresponding water area as a preset aquaculture water area according to the location suitable signal, specifically including: Compare the aquaculture site selection coefficient of each sub-water area with the aquaculture site selection coefficient threshold range: If the aquaculture site selection coefficient of the sub-water area exceeds the maximum value of the aquaculture site selection coefficient threshold range, a water over-floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area; If the aquaculture site selection coefficient of the sub-water area does not exceed the minimum value of the aquaculture site selection coefficient threshold, a water low floating signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as an alternative water area; If the aquaculture site selection coefficient of the sub-water area is within the aquaculture site selection coefficient threshold range, a location suitability signal is generated for the corresponding sub-water area, and the corresponding sub-water area is marked as a preset aquaculture water area.

4. The method for intelligent fishery information production management based on the Internet of Things according to claim 1 is characterized in that: The aforementioned fish school behavior analysis is conducted on the determined aquaculture waters, and the environmental impact of the determined aquaculture waters is monitored in real time, specifically including: According to the feeding point area and the oxygenation point area in the aquaculture water area, the reduction span of the increase speed of the aquaculture fish in the oxygenation point area before the start time of the oxygenation cycle in the real-time aquaculture process in the aquaculture water area is obtained; Collect and determine the overlapping time of the period when the number of fish increases during the real-time breeding process in the breeding waters and the period when the average number of fish decreases in the feeding point area corresponding to the feeding time; The reduction span and the overlap duration are compared with the preset speed reduction span threshold and overlap duration threshold respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result.

5. The method for intelligent fishery information production management based on the Internet of Things according to claim 4 is characterized in that: The reduced span and the overlap duration are compared with the preset speed reduced span threshold and overlap duration threshold, respectively, and the environmental impact degree of the aquaculture waters is determined in real time according to the comparison result, specifically including: If the reduction span exceeds a preset speed reduction span threshold, or the overlap duration exceeds a preset overlap duration threshold, a fish farming detection signal is generated; If the reduction span does not exceed the speed reduction span threshold, and the overlap duration amount does not exceed the overlap duration amount threshold, a fish farming stability signal is generated; According to the fish farming detection signal, the oxygenation cycle and feeding cycle of the corresponding determined farming water area are adjusted; The corresponding determined aquaculture waters are continuously monitored in real time according to the fish farming stability signal.

6. The method for intelligent fishery information production management based on the Internet of Things according to claim 5 is characterized in that: According to the fish farming stability signal, the corresponding determined farming waters are continuously monitored in real time, including: Determine the changes in the surrounding environment of the aquaculture waters into sudden increases in rainfall and increased environmental pressure; Obtain and determine the period of change of the surrounding environment of the aquaculture waters, and collect the average duration of the change from the favorable trend to the unfavorable trend of each parameter of the water quality parameter curve and the water area environment parameter curve according to the period of change of the surrounding environment, and the overlap of the period of change of the surrounding environment; According to the overlapped amount corresponding to the time period, the duration of time when the growth rate of the fish breeding amount in the corresponding time period of the overlapped amount in the breeding water area has not increased; Compare the overlap amount and the duration of continuous no growth with a preset time period overlap amount threshold and a preset duration of continuous no growth threshold to generate an impact degree signal; Based on the impact level signal, the corresponding aquaculture waters are continuously monitored in real time.

7. The method for intelligent fishery information production management based on the Internet of Things according to claim 6 is characterized in that: The step of comparing the overlap amount and the continuous non-increase duration with a preset time period overlap amount threshold and a preset continuous non-increase duration threshold to generate an impact degree signal includes: If the overlap exceeds the time period overlap threshold, or the duration of continuous no growth exceeds the duration of continuous no growth threshold, a high impact signal is generated; If the overlap amount does not exceed the time period overlap amount threshold, and the continuous non-increase duration does not exceed the continuous non-increase duration threshold, a low impact signal is generated.

8. The method for intelligent fishery information production management based on the Internet of Things according to claim 7 is characterized in that: The continuous real-time supervision of the corresponding determined aquaculture waters according to the impact degree signal includes: Manage the farmed fish in the corresponding identified aquaculture waters according to the high-impact signals, and conduct real-time monitoring and maintenance of the farmed fish before and after environmental changes; A regulatory strategy is developed to conduct random sampling inspections of farmed fish populations in corresponding aquaculture waters based on low-impact signals.

9. A smart fishery information production management system based on the Internet of Things, characterized in that: It includes an information management platform, which is connected to aquaculture water site selection unit, a water division unit, aquaculture site selection coefficient acquisition unit, aquaculture water pre-classification unit, aquaculture water classification unit, fishery environment real-time monitoring unit, fish behavior analysis unit and impact degree real-time supervision unit; Aquaculture water site selection unit, used to select aquaculture waters through data collection and analysis; The water area division unit is used to screen the aquaculture water area through information analysis and divide the current aquaculture water area into several sub-water areas; Aquaculture site selection coefficient acquisition unit, used to analyze the location of each sub-water area and obtain the aquaculture site selection coefficient of each sub-water area; Aquaculture water pre-classification unit, used to generate water over-floating signal, location suitability signal and water under-floating signal according to the comparison of aquaculture site selection coefficient, and mark the corresponding sub-water area as candidate water area according to the water over-floating signal and water under-floating signal, and mark the corresponding water area as preset aquaculture water area according to the location suitability signal; Aquaculture water classification unit, used to conduct real-time monitoring of the fishery environment of the preset aquaculture waters, and divide the preset aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the real-time monitoring results of the fishery environment; Fish school behavior analysis unit, used to analyze the fish school behavior in the determined aquaculture waters after the site selection of the aquaculture waters is completed; The real-time monitoring unit for the degree of impact is used to monitor the degree of environmental impact on the aquaculture waters in real time; The real-time monitoring of the fishery environment of the preset aquaculture waters and the division of the preset aquaculture waters into candidate aquaculture waters and confirmed aquaculture waters according to the real-time monitoring results of the fishery environment specifically include: The environmental monitoring period is set for the preset aquaculture waters, and the environmental monitoring period is composed of the distribution of different periods of the preset aquaculture waters; Obtain water quality parameters and water environment parameters in preset aquaculture waters; According to the current environmental monitoring period, the water quality parameters and water area environmental parameters are numerically collected and the water quality parameter curve and water area environmental parameter curve are constructed. If the water quality parameters and water area environmental parameters correspond to multiple parameters with continuous influence, the corresponding parameter curve is not unique. Otherwise, the water quality parameters and water area environmental parameters corresponding to the continuous influence parameters are used as parameter curve objects. The environmental monitoring period is divided into several sub-periods, and the fluctuation of parameter values ​​is divided into favorable trends and unfavorable trends according to the influencing properties of water quality parameters and water area environmental parameters; Obtain the numerical ratio of the total proportion of overlapping sub-periods with no favorable trend and the total proportion of overlapping sub-periods with favorable trend corresponding to the water quality parameter curve and the water area environment parameter curve during the environmental monitoring period; Obtain the frequency growth rate of the change from a favorable trend to an unfavorable trend of the corresponding curve when any of the water quality parameter curve and the water area environment parameter curve is in an unfavorable trend during the environmental monitoring period; If the numerical ratio exceeds a preset numerical ratio threshold, or the conversion frequency growth rate exceeds a preset conversion frequency growth rate threshold, a non-continuous breeding signal is generated, and the corresponding breeding waters are monitored for parameters and the corresponding breeding waters are used as alternative breeding waters when short-term breeding is required; If the numerical ratio does not exceed the numerical ratio threshold, and the transition frequency growth rate does not exceed the transition frequency growth rate threshold, a continuous breeding signal is generated and the corresponding breeding water area is marked as a confirmed breeding water area.

10. A computer storage medium, characterized in that: A computer-readable program is stored thereon, and when the computer-readable program is executed, the smart fishery information production management method based on the Internet of Things as described in any one of claims 1 to 8 is implemented.

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