Aquatic equipment control system based on Internet of Things technology

Abstract

The invention discloses an aquatic product equipment control system based on the Internet of Things technology, and relates to the field of aquaculture intellectualization, and the system comprises a monitoring center which is in communication connection with a data collection module, a data preprocessing module, a data analysis module and an intelligent control module. The data acquisition module acquires water quality data and equipment operation data through a data acquisition terminal, the data preprocessing module samples and calculates a water quality data mean value, and the data analysis module sets weight according to a breeding stage, performs weighted summation and combines an ideal water quality threshold value score to obtain an environment quality comprehensive score. The intelligent control module divides three oxygen consumption states by calculating the oxygen consumption rate, formulates a corresponding operation power calculation strategy of the oxygenation equipment according to the oxygen consumption state of the aquaculture area and the comprehensive score of the environment quality, and dynamically adjusts the power of the oxygenation equipment; according to the method, the intelligent level and the management efficiency of aquaculture are improved through intelligent control over the oxygenation equipment.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of aquatic product equipment, and particularly relates to an aquatic product equipment control system based on Internet of Things technology. BACKGROUND

[0002] With the continuous growth of the demand for precision and intelligent management in the fields of intelligent agriculture and aquatic products of Internet of Things and 5G communication, the dependence on water quality regulation and equipment cooperation is continuously improved in the scenarios of factory fish farming and pond ecological breeding. Traditional aquatic product equipment control mostly adopts manual inspection and single machine control mode, and in the scenario of large-scale breeding, many problems are exposed, for example, water quality parameter monitoring is lagging, relies on manual time collection, it is difficult to find abnormalities in time, equipment control lacks linkage, various aquatic product equipment independently runs, cannot be dynamically adjusted according to real-time water quality and fish population state, resulting in low breeding efficiency and high energy consumption, and a large number of fish and shrimp may die due to untimely response to water quality mutation; at the same time, the labor cost sharply rises with the expansion of the breeding scale, and the data is scattered and difficult to deposit, which cannot provide support for precise breeding decision, therefore, it is necessary to build an efficient, intelligent and linked aquatic product equipment control system based on Internet of Things technology to promote the modernization upgrade of aquatic product breeding, and to solve the problem, the application provides an aquatic product equipment control system based on Internet of Things technology. SUMMARY

[0003] The application aims to provide an aquatic product equipment control system based on Internet of Things technology.

[0004] The application can be realized by the following technical scheme: an aquatic product equipment control system based on Internet of Things technology, comprising a monitoring center, wherein the monitoring center is communicatively connected with a data acquisition module, a data preprocessing module, a data analysis module and an intelligent control module. The data acquisition module is used for acquiring water quality data and equipment operation data of aquatic product equipment in an aquatic breeding area. The data preprocessing module is used for preprocessing the obtained water quality data to obtain a corresponding water quality data mean value. The data analysis module is used for analyzing the obtained water quality data to obtain a corresponding environmental quality comprehensive score, and performing hierarchical evaluation on the environmental quality comprehensive score to obtain a corresponding hierarchical evaluation result. The intelligent control module is used for controlling the power of an oxygenation equipment according to the environmental quality comprehensive score to adjust the oxygen supply amount of the aquatic breeding area.

[0005] Further, the data acquisition module acquires water quality data and equipment operation data of aquatic product equipment in an aquatic breeding area, and the process comprises the following steps: The data acquisition module is composed of a plurality of data acquisition terminals, and the data acquisition terminals are arranged at various positions in the aquaculture area and in the aquaculture equipment; The data acquisition terminals arranged in the aquaculture area acquire water quality data in real time. The water quality data includes water temperature, water quality pH value, and dissolved oxygen content. The data acquisition terminals arranged in the aquaculture equipment acquire equipment operation data of the aquaculture equipment in real time. The equipment operation data includes operation power of the oxygenation equipment and rated operation power of the oxygenation equipment.

[0006] Further, the data preprocessing module includes the following steps in the process of preprocessing the obtained water quality data: In the aquaculture area, the water quality data is respectively sampled and summarized to obtain corresponding water quality data sequences, and the water quality data mean value is obtained from the water quality data sequences.

[0007] Further, the data analysis module includes the following steps in the process of evaluating the aquaculture environment: The weights corresponding to water temperature, water quality pH value, and dissolved oxygen are set. According to different aquaculture stages, the water quality data respectively correspond to different weight size relationships. An ideal water quality threshold is set. An ideal water quality threshold score is obtained according to the ideal water quality threshold. A current water quality score of the aquaculture area is obtained according to the obtained water quality data mean value and the acting weights. An environmental quality comprehensive score of the aquaculture area is obtained according to the obtained ideal water quality threshold score and the current water quality score. The environmental quality comprehensive score of the aquaculture area is used to grade and evaluate the aquaculture environment quality, and a corresponding grading evaluation result is obtained.

[0008] Further, the data analysis module includes the following steps in the process of grading and evaluating the aquaculture environment quality: An environmental quality comprehensive score threshold range is set. When the environmental quality comprehensive score is greater than or equal to the upper limit of the environmental quality comprehensive score threshold, the water quality is first grade. When the environmental quality comprehensive score is greater than or equal to the lower limit of the environmental quality comprehensive score threshold and less than the upper limit of the environmental quality comprehensive score threshold, the water quality is second grade. When the environmental quality comprehensive score is less than the lower limit of the environmental quality comprehensive score threshold, the water quality is third grade.

[0009] Further, the intelligent control module includes the following steps in the process of adjusting the operation power of the oxygenation equipment: obtaining an area oxygen consumption rate of the aquaculture area, and determining an oxygen consumption state of the aquaculture area according to the area oxygen consumption rate of the aquaculture area; when the aquaculture area is in a high oxygen consumption state, then: setting a target dissolved oxygen concentration; setting an oxygenation device operation expected response time; obtaining an oxygen consumption influence value of the oxygen consumption state on the oxygenation device operation power; obtaining an environmental influence value of the environmental quality comprehensive score on the oxygenation device operation power; obtaining an oxygenation device operation influence power through the oxygen consumption state of the aquaculture area and the influence of the environmental quality comprehensive score on the oxygenation device operation power; adding the obtained oxygenation device operation influence power and the oxygenation device operation power to obtain an adjusted total oxygenation device operation power; if the oxygenation device fails to alleviate the high oxygen consumption state within the oxygenation device operation expected response time, then increasing the oxygenation device until the aquaculture area returns to a normal oxygen consumption state; when the aquaculture area is in a normal oxygen consumption state, then collecting and obtaining oxygenation device operation power data in real time, and maintaining the current oxygenation device operation power; when the aquaculture area is in a low oxygen consumption state, then: obtaining an oxygenation device operation influence power; subtracting the obtained oxygenation device operation influence power from the oxygenation device operation power to obtain an adjusted total oxygenation device operation power; when the adjusted total oxygenation device operation power is less than or equal to zero, then the oxygenation device is turned off.

[0010] Further, the process of obtaining the area oxygen consumption rate of the aquaculture area according to the obtained oxygen consumption factor data includes: setting a monitoring period, and collecting oxygen consumption factor data in the aquaculture area within the monitoring period; the oxygen consumption factors of the water quality in the aquaculture area include dissolved oxygen concentration and water temperature; obtaining oxygen consumption data of the water temperature factor according to the influence of the water temperature on the aquaculture area; obtaining the area oxygen consumption rate of the aquaculture area according to the obtained oxygen consumption factor data.

[0011] Further, the process of dividing the oxygen consumption state according to the area oxygen consumption rate includes: setting a threshold range of the oxygen consumption rate; If the oxygen consumption rate is greater than or equal to the upper limit of the oxygen consumption rate threshold, the standard aquaculture area is in a high oxygen consumption state, if the oxygen consumption rate is greater than or equal to the lower limit of the oxygen consumption rate threshold and less than the upper limit of the oxygen consumption rate threshold, the standard aquaculture area is in a normal oxygen consumption state, and if the oxygen consumption rate is less than the lower limit of the oxygen consumption rate threshold, the standard aquaculture area is in a low oxygen consumption state.

[0012] The operation power of the oxygenation equipment is adjusted according to the oxygen consumption state of the aquaculture area and the comprehensive environmental quality score.

[0013] Compared with the prior art, the beneficial effects of the present application are: the data acquisition module is deployed to acquire water quality data and equipment operation data in real time, the data preprocessing module calculates the mean value of the water quality data, the data analysis module sets weights according to different breeding stages, and the comprehensive environmental quality score is obtained by weighted summation and combined with the ideal water quality threshold score, so as to realize accurate evaluation of the aquaculture environment, the intelligent control module divides three oxygen consumption states by calculating the oxygen consumption rate, and the operation power calculation strategy of the corresponding oxygenation equipment is formulated according to the oxygen consumption state of the aquaculture area and the comprehensive environmental quality score, so as to realize the intelligent level and management efficiency of aquaculture, and through the hierarchical evaluation and dynamic power adjustment mechanism, the pertinence and energy efficiency of dissolved oxygen management are optimized, and the energy consumption and breeding risk are reduced. BRIEF DESCRIPTION OF DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0015] Figure 1 The schematic diagram of the present application. DETAILED DESCRIPTION

[0016] As Figure 1 shown, a water production equipment control system based on Internet of Things technology includes a monitoring center, the monitoring center is in communication with a data acquisition module, a data preprocessing module, a data analysis module and an intelligent control module; The data acquisition module is used to acquire water quality data and equipment operation data of water production equipment in the aquaculture area; The data preprocessing module is used to preprocess the obtained water quality data to obtain the corresponding water quality data mean value; The data analysis module is used to analyze the obtained water quality data to obtain the corresponding comprehensive environmental quality score, and to grade the comprehensive environmental quality score to obtain the corresponding grading evaluation result; The intelligent control module is configured to control the power of the oxygenation equipment according to the comprehensive environmental quality score, and adjust the oxygen supply amount to the aquaculture area.

[0017] The data acquisition module is composed of a plurality of data acquisition terminals, which are deployed at various positions in the aquaculture area and in the aquaculture equipment; The data acquisition terminals deployed in the aquaculture area acquire water quality data in real time at the positions; The water quality data includes water temperature, water quality pH value, and dissolved oxygen content; The data acquisition terminals deployed in the aquaculture equipment acquire equipment operation data of the aquaculture equipment in real time; The equipment operation data includes the operation power of the oxygenation equipment and the rated power of the oxygenation equipment; The data preprocessing module pre-processes the obtained water quality data, and the specific process of obtaining the corresponding water quality data mean value is as follows: In the aquaculture area, the water temperature, water quality pH value, and dissolved oxygen are sampled n times respectively, and each sampling is labeled, denoted as k, where k=1, 2,..., n; The water temperature obtained by each sampling is denoted as , the water quality pH value is denoted as , and the dissolved oxygen is denoted as ; The water quality data obtained by sampling is summarized respectively to obtain corresponding sequences, the water temperature sequence is denoted as , the water quality pH value sequence is denoted as , and the dissolved oxygen sequence is denoted as ; According to the obtained water quality data sequence, the water quality data mean value is obtained, which includes the mean value of the temperature , the mean value of the water quality pH value , and the mean value of the dissolved oxygen , wherein: , , .

[0018] The data analysis module analyzes the obtained water quality data mean value to obtain a corresponding comprehensive environmental quality score, and the process of evaluating the aquaculture environment includes: The weight corresponding to the water temperature is set as , the weight corresponding to the water quality pH value is set as , the weight corresponding to the dissolved oxygen is set as , and satisfies ; According to different aquaculture stages, different weight size relationships are set, wherein the aquaculture stages include the fry period and the adult fish period, when the aquaculture stage is the fry period, the weight size relationship is , when the aquaculture stage is the adult fish period, the weight size relationship is ; An ideal water quality threshold is set, which includes an ideal temperature threshold , an ideal water quality pH threshold , and an ideal dissolved oxygen threshold ; An ideal water quality threshold score is obtained according to the ideal water quality threshold, denoted as , wherein ; A current water quality score of the aquaculture area is obtained according to the obtained water quality data mean value and the acting weight, denoted as , wherein ; An environmental quality comprehensive score of the aquaculture area is obtained according to the obtained ideal water quality threshold score and the current water quality score, denoted as , wherein ; The environmental quality of the aquaculture area is graded and evaluated through the environmental quality comprehensive score of the aquaculture area, and the corresponding grading evaluation result is obtained: The environmental quality evaluation threshold is set as ; When , it is first-class water quality; When , it is second-class water quality; When , it is third-class water quality; The obtained grading evaluation result is uploaded to the intelligent control module.

[0019] The intelligent control module controls the power of the oxygenation equipment according to the environmental quality comprehensive score, and the specific process of adjusting the oxygen supply amount of the aquaculture area includes: Set a monitoring period, and collect the oxygen consumption factor data of the aquaculture area in the monitoring period; The oxygen consumption factors of the water quality in the aquaculture area include dissolved oxygen concentration and water temperature; According to the influence of water temperature on the aquaculture area, the oxygen consumption data of the water temperature factor is obtained, denoted as , wherein , is the real-time water temperature, is the water temperature reference of aquatic products; The regional oxygen consumption rate of the aquaculture area is obtained according to the obtained oxygen consumption factor data wherein: is the length of the monitoring period, is the dissolved oxygen concentration at the beginning of the monitoring period, is the dissolved oxygen concentration at the end of the monitoring period, is the volume of the water body in the aquaculture area; a threshold range of oxygen consumption rate is set as ; if , the standard aquaculture area is in a high oxygen consumption state; if , the standard aquaculture area is in a normal oxygen consumption state; if , the standard aquaculture area is in a low oxygen consumption state; the operating power of the oxygenation equipment is adjusted according to the oxygen consumption state of the aquaculture area and the comprehensive environmental quality score.

[0020] It should be noted that the process of adjusting the operating power of the oxygenation equipment includes: when the aquaculture area is in a high oxygen consumption state, then: set the target dissolved oxygen concentration, denoted as ; set the expected response time of the oxygenation equipment, denoted as ; obtain the oxygen consumption impact value of the oxygen consumption state on the operating power of the oxygenation equipment, denoted as , wherein , is the oxygen consumption sensitivity coefficient; obtain the environmental impact value of the comprehensive environmental quality score on the operating power of the oxygenation equipment, denoted as , wherein , is the environmental sensitivity coefficient; through the influence of the oxygen consumption state of the aquaculture area and the comprehensive environmental quality score on the operating power of the oxygenation equipment, obtain the operating impact power of the oxygenation equipment, denoted as Pt, wherein , k is the coefficient of the operating impact power of the oxygenation equipment; add the obtained operating impact power of the oxygenation equipment to the operating power of the oxygenation equipment to obtain the total adjusted oxygenation equipment operating power, denoted as Pz1, wherein Pz1=P+Pt, P is the current operating power of the oxygenation equipment, and the maximum value of Pz1 does not exceed the rated operating power of the oxygenation equipment; if the high oxygen consumption state cannot be alleviated within the expected response time of the oxygenation equipment, increase the oxygenation equipment until the aquaculture area returns to a normal oxygen consumption state; When the aquaculture area is in a normal oxygen consumption state, the running power data of the oxygen increasing equipment is acquired in real time, and the running power of the current oxygen increasing equipment is maintained; When the aquaculture state is in a low oxygen consumption state, then: The running influence power Pt of the oxygen increasing equipment is acquired; The acquired running influence power of the oxygen increasing equipment is subtracted from the running power of the oxygen increasing equipment, the adjusted total running power of the oxygen increasing equipment is acquired, denoted as Pz2, wherein Pz2=P-Pt, when Pz2 is reduced to less than or equal to zero, the oxygen increasing equipment is closed.

[0021] The above is only the preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as the above preferred embodiment, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to obtain equivalent embodiments with equivalent changes, without departing from the technical solution of the present application. Any modification or equivalent replacement of the above embodiments according to the technical essence of the present application still belongs to the scope of the technical solution of the present application.

Claims

1. An aquatic equipment control system based on Internet of Things technology, comprising a monitoring center, characterized in that, The monitoring center is in communication connection with a data acquisition module, a data preprocessing module, a data analysis module and an intelligent control module; The data acquisition module is used for acquiring water quality data and equipment operation data of the aquatic breeding area; The data preprocessing module is used for preprocessing the acquired water quality data to obtain water quality data mean values; The data analysis module is used for analyzing the acquired water quality data to obtain corresponding environmental quality comprehensive scores, grading evaluating the environmental quality comprehensive scores to obtain corresponding grading evaluation results; The intelligent control module is used for controlling power of the oxygenation equipment according to the environmental quality comprehensive scores to adjust oxygen supply amount of the aquatic breeding area. 2.The aquatic equipment control system based on the Internet of Things technology according to claim 1, wherein, The data acquisition module acquires water quality data and equipment operation data of the aquatic breeding area, and the process includes: The data acquisition module is composed of a plurality of data acquisition terminals, which are deployed at various positions in the aquatic breeding area and in the aquatic equipment; The data acquisition terminals deployed in the aquatic breeding area acquire water quality data of the positions in real time; The water quality data includes water temperature, water quality pH value and dissolved oxygen content; The data acquisition terminals deployed in the aquatic equipment acquire equipment operation data of the aquatic equipment in real time; The equipment operation data includes operation power of the oxygenation equipment and operation rated power of the oxygenation equipment. 3.The aquatic equipment control system based on the Internet of Things technology according to claim 2, characterized in that, The data preprocessing module preprocesses the acquired water quality data, and the process includes: In the aquatic breeding area, water quality data is respectively sampled and summarized to obtain water quality data sequences, and water quality data mean values are obtained from the water quality data sequences. 4.The aquatic equipment control system based on the Internet of Things technology according to claim 3, characterized in that, The data analysis module evaluates the aquatic breeding environment, and the process includes: Setting weights corresponding to water temperature, water quality pH value and dissolved oxygen; According to different aquatic breeding stages, setting different weight size relationships corresponding to water quality data; Setting ideal water quality threshold values; Obtaining ideal water quality threshold value scores according to the ideal water quality threshold values; Obtaining current water quality scores of the aquatic breeding area according to the obtained water quality data mean values and the acting weights; Obtaining environmental quality comprehensive scores of the aquatic breeding area according to the obtained ideal water quality threshold value scores and the current water quality scores; Grading evaluating the aquatic breeding environment quality through the environmental quality comprehensive scores of the aquatic breeding area to obtain corresponding grading evaluation results. 5.The aquatic equipment control system based on the Internet of Things technology according to claim 4, characterized in that, The data analysis module grades evaluates the aquatic breeding environment quality, and the process includes: Setting an environmental quality comprehensive score threshold range; When the environmental quality comprehensive score is greater than or equal to the upper limit of the environmental quality comprehensive score threshold, it is first-class water quality; When the environmental quality comprehensive score is greater than or equal to the lower limit of the environmental quality comprehensive score threshold and less than the upper limit of the environmental quality comprehensive score threshold, it is second-class water quality; When the environmental quality comprehensive score is less than the lower limit of the environmental quality comprehensive score threshold, it is third-class water quality. 6.The aquatic equipment control system based on the Internet of Things technology according to claim 5, characterized in that, The intelligent control module adjusts the operation power of the oxygenation equipment, and the process includes: Acquiring regional oxygen consumption rate of the aquatic breeding area and judging oxygen consumption state of the aquatic breeding area according to the regional oxygen consumption rate of the aquatic breeding area; When the aquatic breeding area is in a high oxygen consumption state, then: Setting a target dissolved oxygen concentration; Setting an oxygenation device running expected response time; Obtaining an oxygen consumption state oxygen consumption influence value of oxygenation device running power; Obtaining an environmental quality comprehensive score environmental influence value of oxygenation device running power; Obtaining an oxygenation device running influence power through the influence of the oxygen consumption state and the environmental quality comprehensive score of the aquaculture area on the running power of the oxygenation device; Adding the obtained oxygenation device running influence power to the running power of the oxygenation device to obtain an adjusted total oxygenation device running power; If the oxygenation device fails to alleviate the high oxygen consumption state within the running expected response time, the oxygenation device is increased until the aquaculture area returns to a normal oxygen consumption state; When the aquaculture area is in a normal oxygen consumption state, real-time collection of oxygenation device running power data is obtained, and the current oxygenation device running power is maintained; When the aquaculture state is in a low oxygen consumption state, then: Obtaining an oxygenation device running influence power; Subtracting the obtained oxygenation device running influence power from the running power of the oxygenation device to obtain an adjusted total oxygenation device running power; When the adjusted total oxygenation device running power is reduced to less than or equal to zero, the oxygenation device is turned off. 7.The aquatic equipment control system based on the Internet of Things technology according to claim 6, characterized in that, The process of obtaining the area oxygen consumption rate of the aquaculture area according to the obtained oxygen consumption factor data by the intelligent control module includes: Setting a monitoring period and collecting oxygen consumption factor data in the aquaculture area within the monitoring period; The oxygen consumption factors of the water quality in the aquaculture area include dissolved oxygen concentration and water temperature; Obtaining oxygen consumption data of the water temperature factor according to the influence of the water temperature on the aquaculture area; Obtaining the area oxygen consumption rate of the aquaculture area according to the obtained oxygen consumption factor data. 8.The aquatic equipment control system based on the Internet of Things technology according to claim 7, characterized in that, The process of dividing the oxygen consumption state according to the area oxygen consumption rate by the intelligent control module includes: Setting a threshold range of the oxygen consumption rate; If the oxygen consumption rate is greater than or equal to the upper limit of the oxygen consumption rate threshold, the standard aquaculture area is in a high oxygen consumption state, if the oxygen consumption rate is greater than or equal to the lower limit of the oxygen consumption rate threshold and less than the upper limit of the oxygen consumption rate threshold, the standard aquaculture area is in a normal oxygen consumption state, and if the oxygen consumption rate is less than the lower limit of the oxygen consumption rate threshold, the standard aquaculture area is in a low oxygen consumption state; Adjusting the running power of the oxygenation device according to the oxygen consumption state of the aquaculture area and the environmental quality comprehensive score.

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