A data management system and method for marine environment monitoring using buoys

Abstract

The present invention discloses a data management system and method for monitoring the marine environment using a buoy, and relates to the technical field of marine pollution control. The data management system for monitoring the marine environment using a buoy comprises a data acquisition module, a data analysis module, a repair and correction module, a difference calculation module and a repair and adjustment module. The technical key points are as follows: analyzing and processing marine data, water quality repair data and marine environmental data, clarifying the relationship between water quality and the ocean and the environment, and further processing to analyze the content of microorganisms in marine polluted water, and further combining with the pre-planning of marine biological restoration programs, it can help relevant technical personnel to adjust the content of microorganisms in time, so that the marine heavy pollution control is carried out according to the original plan, and the efficiency of marine control can be effectively improved. Moreover, the whole process does not require laboratory cooperation, the cost is relatively low, and it has good application prospects.

Description

Technical Field

[0001] The present invention relates to the technical field of marine pollution control, and in particular to a data management system and method for marine environment monitoring using buoys. Background Art

[0002] Water quality monitoring is the process of monitoring and measuring the types of pollutants in water bodies, the concentrations of various pollutants and their changing trends, and evaluating the water quality. The monitoring scope is very wide, including unpolluted and polluted natural water and various industrial drainage. The main monitoring items can be divided into two categories: one is the comprehensive indicators reflecting the water quality, such as temperature, color, turbidity, pH value, conductivity, suspended solids, dissolved oxygen, chemical oxygen demand and biochemical oxygen demand.

[0003] Shallow sea buoys can float freely in the water, while anchor chains can fix the buoys in specific locations. Various sensors and data acquisition equipment are also installed on shallow sea buoys to monitor environmental factors such as water quality, water temperature, light, and information such as the types, quantity, and distribution of aquatic organisms in real time.

[0004] The existing application publication number is CN117227914B, and the invention patent named "A vessel for placing microorganisms and agents in polluted waters and a method for treating polluted waters" records that it includes a remote unmanned controlled hull, a liquid tank is arranged at the lower part of the hull, a microorganism tank is arranged above the liquid tank, and the microorganism tank is connected to the liquid tank through a bacteria release channel; a sampling and delivery mechanism for sampling water samples and delivering microorganisms according to the target depth is installed in the hull, and the sampling and delivery mechanism includes a pipeline system for supplying water to the liquid tank and discharging microorganisms, and the pipeline system includes a hose extending from the hull to the outside of the hull, the first end of the hose is connected to the rotating shaft tube, and the second end of the hose is connected to the sampling and delivery plowshare; the present invention extracts water samples from rivers and lakes into the liquid tank for laboratory detection and analysis of the pollution characteristics of the water environment, so as to screen the target microorganisms suitable for treating the water area; the liquid tank carries the target microorganisms and agents back to the treated water area for delivery, so that the microbial treatment technology process is more targeted, thereby ensuring the treatment effect of rivers and lakes.

[0005] However, according to the above content combined with the prior art, the central scheme of the patent recorded in the above patent is to measure the water quality, then analyze the water quality, and finally release the corresponding microorganisms. This scheme is a commonly used method of microbial treatment of pollution, but in actual application, it is affected by the external environment and the movement of the microorganisms themselves, resulting in the microbial content in the polluted area often failing to meet the standards set in the scheme. The release of excessive microorganisms at intervals is not only costly, but also excessive microorganisms will affect the marine environment and have a reverse effect. Therefore, it is usually necessary to monitor the microbial content in the water and add microorganisms when the microbial content is low. However, this method requires water sampling and laboratory cooperation for testing, which is relatively costly. In addition, sampling in water areas is inconvenient, especially in order to ensure accuracy, repeated sampling is required, which makes the cost of adjusting the microbial content relatively high. Therefore, the microbial content is generally adjusted once in a long time, resulting in low efficiency of microbial governance of the ocean.

[0006] Therefore, the above scheme has great defects in actual use and does not meet people's usage requirements. For this reason, we have developed a data management system and method for using buoys for marine environment monitoring. Summary of the invention

[0007] 1. Technical issues to be resolved

[0008] In view of the shortcomings of the prior art, the present invention provides a data management system and method for marine environment monitoring using buoys, which analyzes and processes marine data, water quality restoration data, and marine environmental data to clarify the relationship between water quality, the ocean and the environment, and further processes and analyzes the content of microorganisms in marine polluted water. In combination with the pre-planning of marine biological restoration programs, it can help relevant technical personnel to adjust the content of microorganisms in a timely manner, so that the treatment of severe marine pollution can be carried out according to the original plan, which can effectively improve the efficiency of marine treatment, and the entire process does not require laboratory cooperation, the cost is relatively low, the use effect is good, and it has good application prospects.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0011] A data management system for marine environment monitoring using buoys, which is used for data management in the process of marine water quality management, includes a data acquisition module, a data analysis module, a repair and correction module, a difference calculation module and a repair and adjustment module:

[0012] Data acquisition module: used to obtain historical ocean data, historical water quality restoration data, periodically collected ocean water quality data, and future ocean environment data;

[0013] Data analysis module: used to analyze the acquired historical ocean data, combine it with future ocean environment data, predict the ocean water quality data at future periodic collection time points without restoration, and combine it with historical water quality restoration data and applied marine biological restoration solutions to predict the ocean water quality data at future periodic collection time points after restoration;

[0014] Restoration and correction module: used to calculate the standard restoration interval based on the predicted ocean water quality data at the future periodic collection time point after restoration, and then compare the periodically collected real-time ocean water quality data with the standard restoration interval to determine whether the real-time periodically collected ocean water quality data is within the standard restoration interval;

[0015] If the ocean water quality data is within the standard restoration range, no adjustment will be made;

[0016] If the ocean water quality data is outside the standard repair range, the area surrounding the corresponding buoy collecting ocean water quality data is marked as abnormal;

[0017] Difference calculation module: used to start the buoy every time interval to collect the ocean water quality data of the abnormal area, obtain L groups of ocean water quality data in total, and calculate the average value of the difference data between the L groups of ocean water quality data and the predicted ocean water quality data at the corresponding time point;

[0018] Restoration adjustment module: used to calculate the restoration plan adjustment value based on the average value of the difference data, future marine environmental data and historical water quality restoration data, and formulate an adjustment restoration plan based on the restoration plan adjustment value, and then execute the adjustment restoration plan.

[0019] Furthermore, historical ocean data include historical ocean environment data and corresponding historical ocean water quality data. The historical water quality restoration data include bay water quality microbial restoration data, tidal flat water quality microbial restoration data, shallow sea water quality microbial restoration data and nearshore water quality microbial restoration data. The periodically collected ocean water quality data include water temperature, salinity, electrical conductivity, metal element content, nitrogen content, biochemical oxygen demand, chemical oxygen demand and suspended matter index periodically collected by buoys. The ocean environment data include temperature, humidity, light, dissolved oxygen content and wind level.

[0020] Further, the steps for analyzing the acquired historical ocean data are as follows:

[0021] S1. Sort out the historical ocean data obtained and calculate the ocean water quality evaluation value based on the historical ocean water quality data. The specific formula is as follows:

[0022] ;

[0023] In the formula, is the ocean water quality evaluation value, is the number of water quality evaluation indicators, m is the number of times the i-th water quality evaluation indicator is monitored, is the difference between the j-th monitoring data of the i-th water quality evaluation index and the preset standard data, is the weight corresponding to the i-th water quality evaluation index, is the maximum value among the m groups of difference data in the i-th water quality evaluation index;

[0024] S2. Calculate the correlation between each influencing factor in the marine environment data and the marine water quality evaluation value; the specific calculation formula is as follows:

[0025] ;

[0026] In the formula, is the correlation between one set of processed influencing factor data and the marine water quality evaluation value, is the number of marine water quality evaluation values, is the i-th group of data of one of the influencing factors after treatment, is the marine water quality evaluation value of the i-th group, is the i-th group of data in which one of the influencing factors is not processed, It is a set of standard data of one of the preset influencing factors;

[0027] S3. Calculate the weight coefficient corresponding to each influencing factor based on the correlation. The specific calculation formula is as follows;

[0028] ;

[0029] In the formula, is the weight coefficient corresponding to the i-th influencing factor, is the number of factors affecting the marine water quality assessment value, is the correlation between the ith influencing factor and the marine water quality evaluation value.

[0030] Furthermore, the formula for predicting the ocean water quality data at future periodic collection points without repair is as follows:

[0031] ;

[0032] In the formula, For the ocean water quality data collected periodically at future time points without repair, The data of the future periodic collection time point of the i-th influencing factor, is the preset standard data of the i-th influencing factor, The ocean water quality data for the pollution status detected at the end of the previous period, The ocean water quality data for the preset standard seawater;

[0033] Predict ocean water quality data at future periodic collection points after restoration;

[0034] ;

[0035] In the formula, In order to predict the ocean water quality data at future periodic collection points after restoration, is a constant coefficient, , is the number of cycles in which the current seawater restoration is in the marine bioremediation program, To estimate the improvement in marine water quality from the current cycle of marine bioremediation programs, The ocean water quality evaluation data is the ocean's ability to self-repair in a cycle when the ocean is low-pollution. is the total number of restoration cycles in the marine bioremediation program.

[0036] Furthermore, the standard repair interval is , and its calculation formula is as follows:

[0037] ;

[0038] In the formula, is a constant coefficient, 10≤ ≤20.

[0039] Furthermore, the formula for calculating the average value of the difference between the L group of ocean water quality data and the predicted ocean water quality data at the corresponding time point is as follows:

[0040] ;

[0041] In the formula, is the average value of the difference data, is the i-th group of ocean water quality data, For the predicted Ocean water quality data at the corresponding time point.

[0042] Furthermore, the steps for calculating the repair solution adjustment value are as follows:

[0043] Analyze the average value of difference data, historical water quality restoration data and marine biological restoration plans, and calculate the marine water quality data that needs to be restored in the next cycle;

[0044] Obtain future marine environmental data, calculate the environmental impact marine water quality restoration value, and adjust the added microbial content according to the marine water quality restoration value.

[0045] Furthermore, the formula for calculating the ocean water quality data that needs to be repaired in the next cycle is as follows:

[0046]

[0047] In the formula, Ocean water quality data needs to be repaired for the next cycle.

[0048] Furthermore, the formula for calculating the environmental impact marine water quality restoration value is as follows:

[0049] ;

[0050] In the formula, The calculated environmental impact marine water quality restoration value is is the type of environmental factors, is the number of the i-th environmental impact factor monitored, is the preset standard value of the i-th environmental impact factor, The influence coefficient corresponding to the i-th influencing factor;

[0051] The formula for adjusting the added microbial content according to the marine water quality restoration value is as follows:

[0052] ;

[0053] In the formula, The added microbial content, Governance in marine bioremediation programs Microbial load required for water quality data, Governance in marine bioremediation programs Microbial load required for water quality data, The marine water quality data for the pollution status detected at the end of the previous period, The ocean water quality data of the pollution status detected at the beginning of the previous cycle, is the correction coefficient, 0.6< <1, is a constant coefficient, >1;

[0054] When formulating an adjustment and repair plan, the calculated The maximum value recorded in the marine bioremediation plan is set Make a comparison;

[0055] like > , then the amount of microorganisms added in the remediation scheme is adjusted to ;

[0056] like ≤ , then the amount of microorganisms added in the remediation scheme is adjusted to .

[0057] Furthermore, a data management method for marine environment monitoring using a buoy comprises the following steps:

[0058] Obtain historical ocean data, historical water quality restoration data, periodically collected ocean water quality data, and future ocean environment data;

[0059] Analyze the acquired historical ocean data and combine it with future marine environmental data to predict the ocean water quality data at future periodic collection time points without restoration. Combine the historical water quality restoration data with the applied marine biological restoration plan to predict the ocean water quality data at future periodic collection time points after restoration.

[0060] The standard restoration interval is calculated based on the predicted ocean water quality data at future periodic collection time points after restoration, and then the real-time ocean water quality data collected periodically is compared with the standard restoration interval to determine whether the real-time periodic collection of ocean water quality data is within the standard restoration interval;

[0061] If the ocean water quality data is within the standard restoration range, no adjustment will be made;

[0062] If the ocean water quality data is outside the standard repair range, the area surrounding the corresponding buoy collecting ocean water quality data is marked as abnormal;

[0063] The buoy is started after a certain period of time to collect the ocean water quality data of the abnormal area, and a total of L groups of ocean water quality data are obtained, and the average value of the difference data between the L groups of ocean water quality data and the predicted ocean water quality data at the corresponding time point is calculated;

[0064] The restoration plan adjustment value is calculated based on the average value of the difference data, future marine environmental data and historical water quality restoration data, and an adjusted restoration plan is formulated based on the restoration plan adjustment value, and then the adjusted restoration plan is implemented.

[0065] (III) Beneficial effects

[0066] The present invention provides a data management system and method for using buoys to monitor the marine environment, which has the following beneficial effects:

[0067] 1. The present invention provides a data management system and method for marine environmental monitoring using buoys, which analyzes and processes marine data, water quality restoration data, and marine environmental data, clarifies the relationship between water quality, the ocean, and the environment, and further processes and analyzes the content of microorganisms in marine polluted water. In combination with the pre-planning of marine biological restoration programs, it can help relevant technical personnel to adjust the content of microorganisms in a timely manner, so that the treatment of severe marine pollution can be carried out according to the original plan, which can effectively improve the efficiency of marine treatment. Moreover, the entire process does not require laboratory cooperation, has a relatively low cost, and has a good use effect, and has a good application prospect.

[0068] 2. The present invention provides a data management system and method for marine environment monitoring using buoys, which further analyzes and processes historical marine data and historical water quality restoration data, analyzes the fluctuation of marine water quality itself and the medium-term data of normal marine pollution restoration, so that the water quality data has an accurate comparison value, so that it can more accurately judge whether there is an abnormality in the control of marine pollution, and can further analyze the pollution difference that needs to be remedied, and further analyze the amount of microorganisms needed, so that the corresponding pollution treatment personnel can supplement the microorganisms in a timely and reasonable manner. The use effect is good and has a good prospect for use. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a flow chart of a data management system for using buoys to monitor the marine environment according to the present invention;

[0070] Figure 2 The present invention discloses a map of abnormal areas marked when a data management system using a buoy to monitor the marine environment is used. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0072] The existing technical center program collects water quality at the location of marine pollution, and then sends the polluted water quality to the laboratory for analysis to determine the type and extent of marine pollution, and formulates corresponding water pollution remediation plans based on the test results.

[0073] However, when using water pollution remediation solutions, water pollution remediation requires a process, and it is not possible to achieve marine pollution remediation by simply adding the corresponding microorganisms to the ocean;

[0074] Marine pollution remediation is usually divided into several cycles. Generally, the recovery effect of each cycle will be worked out, and then an implementation plan will be implemented according to the recovery effect. When microorganisms are used to treat the marine environment, if the amount of microorganisms added is low, the expected effect cannot be achieved. If the amount of microorganisms added at one time is high, it will affect the marine environment and have the opposite effect. Therefore, the recovery effect implementation plan formulated is usually a moderate plan. During the entire marine pollution remediation process, the main thing is to maintain the amount of marine microorganisms at the same or close to the amount of the moderate plan.

[0075] However, in actual application, due to the influence of the external environment and the movement of microorganisms themselves (microorganism diffusion and death), the microbial content in the polluted area often fails to meet the standards set in the plan. The release of excessive microorganisms at intervals is not only costly, but also has an adverse effect on the marine environment. Therefore, the difficulty in maintaining the amount of marine microorganisms lies mainly in how to measure the microbial content in marine polluted areas.

[0076] The existing solution is to take samples of water quality and conduct laboratory testing. The entire process is relatively costly, and sampling in marine waters is inconvenient. In particular, repeated sampling and monitoring are required to ensure accuracy, which makes the cost of adjusting the microbial content relatively high. Therefore, the microbial content is generally adjusted once in a long time, resulting in low efficiency in microbial governance of the ocean.

[0077] The existing marine sewage treatment systems are all about collecting and analyzing water quality in the early stages of marine sewage remediation, that is, the process of formulating marine biological remediation plans. However, there is no relevant planning and management for the implementation of marine biological remediation plans, which makes the implementation effect of marine biological remediation plans relatively poor and the speed of marine pollution control relatively slow.

[0078] Therefore, during the research and development process, the initial idea was how to achieve the supervision of relevant data in the process of marine pollution control. To this end, a large amount of data was collected and a special microbial control solution (fluorescence detection method) was adopted. When used, fluorescence detection was used to detect the number and activity of microorganisms in the pollution, thereby achieving supervision of microorganisms in the ocean.

[0079] However, in actual use, it was found that using this method, the microorganisms need special treatment, which makes the overall cost of the microorganisms relatively high, and sampling is still required, and the sampled seawater is sent to the laboratory for testing. The cost of the entire process is relatively high, and the entire sampling process is relatively complicated.

[0080] Therefore, in the middle of the research and development, we changed our thinking, adjusted the plan, studied the environment and the speed of marine pollution remediation, and reversely deduced the content of microorganisms in marine sewage, so that the process of marine microbial supervision does not need to be adopted separately and does not require the cooperation of laboratories.

[0081] However, in actual use, it was found that due to the large volatility of seawater and the interference of the external environment, it is impossible to directly determine whether the degree of seawater restoration at a specific point in time is abnormal, resulting in certain errors in the process of marine pollution control.

[0082] Therefore, in the later stage of research and development, we fully combined the previous plans and developed a data management system and method for using buoys for marine environment monitoring. It fully combined historical data and analyzed the historical data to predict the intervals of seawater pollution control at different time points in the future, so that it can be fully compared, which greatly improves the accuracy of judging the effectiveness of seawater pollution control.

[0083] like Figure 1-2 As shown, a data management system for marine environment monitoring using buoys is used for data management in the process of marine water quality management. The data management system for marine environment monitoring using buoys includes a data acquisition module, a data analysis module, a repair and correction module, a difference calculation module and a repair and adjustment module:

[0084] The system consists of two parts: hardware and software. The hardware mainly includes the data acquisition corresponding equipment in the data acquisition module and the server required for software operation.

[0085] The ocean data acquisition device in the data acquisition corresponding device relies on the collection of biological buoys set up at sea. The biological buoy collection at sea is a commonly used collection device in the prior art. It can carry various sensors and can be used in different locations in the ocean to collect ocean water quality data and ocean environment data. Because the biological buoy belongs to the prior art, no excessive description will be given.

[0086] Historical ocean data and historical water quality restoration data can be directly obtained from the corresponding databases.

[0087] In order to realize the analysis of microbial content, historical data must be collected, and the relationship between water quality fluctuations and microbial content and water pollution control effects must be analyzed using historical data. At the same time, future water quality data can be predicted by combining future data. The data required to be collected above is based on the data acquisition module;

[0088] The data acquisition module acquires historical ocean data, historical water quality restoration data, periodically collected ocean water quality data, and future ocean environment data;

[0089] Historical ocean data include historical ocean environment data and corresponding historical ocean water quality data. The historical water quality restoration data include bay water quality microbial restoration data, tidal flat water quality microbial restoration data, shallow sea water quality microbial restoration data and nearshore water quality microbial restoration data. The periodically collected ocean water quality data include water temperature, salinity, electrical conductivity, metal element content, nitrogen content, biochemical oxygen demand, chemical oxygen demand and suspended matter index periodically collected by buoys. The ocean environment data include temperature, humidity, light, dissolved oxygen content and wind level.

[0090] The above-mentioned collected data are commonly used data for existing water quality supervision, and can also be equipped with other sensors for further detection. The more data categories detected and the larger the data volume, the more accurate the calculated results will be.

[0091] After obtaining the required data, the collected data needs to be further processed and analyzed to extract the required data to provide a basis for subsequent analysis. The process of analyzing data depends on the data analysis module.

[0092] The data analysis module analyzes the acquired historical ocean data, combines it with future ocean environmental data, and predicts the ocean water quality data at future periodic collection time points without restoration. It also combines the historical water quality restoration data and the applied marine biological restoration plan to predict the ocean water quality data at future periodic collection time points after restoration.

[0093] The steps used to analyze the acquired historical ocean data are as follows:

[0094] S1. Sort out the historical ocean data obtained and calculate the ocean water quality evaluation value based on the historical ocean water quality data. The specific formula is as follows:

[0095] ;

[0096] In the formula, is the ocean water quality evaluation value, is the number of water quality evaluation indicators, m is the number of times the i-th water quality evaluation indicator is monitored, is the difference between the j-th monitoring data of the i-th water quality evaluation index and the preset standard data, is the weight corresponding to the i-th water quality evaluation index, is the maximum value among the m groups of difference data in the i-th water quality evaluation index;

[0097] For example, if conductivity and nitrogen content are used as evaluation indicators, then is 2, and the collected data of conductivity and nitrogen content are both 5 groups, then is 5, when When taking conductivity, is the maximum value among the five sets of conductivity data. is the average value of 5 sets of conductivity data. Take the nitrogen content, is the maximum value among the five groups of nitrogen content data. It is the average value of 5 sets of nitrogen content data.

[0098] By setting the ocean water quality evaluation value, multiple water quality evaluation indicators are integrated into overall evaluation data to avoid interference caused by subsequent separate analysis of multiple indicators. It can also reduce the amount of subsequent water quality comparisons and improve efficiency. At the same time, it can clearly show the quality of the water and achieve better results.

[0099] S2. Calculate the correlation between each influencing factor in the marine environment data and the marine water quality evaluation value; the specific calculation formula is as follows:

[0100] ;

[0101] In the formula, is the correlation between one set of processed influencing factor data and the marine water quality evaluation value, is the number of marine water quality evaluation values, is the i-th group of data of one of the influencing factors after treatment, is the marine water quality evaluation value of the i-th group, is the i-th group of data in which one of the influencing factors is not processed, It is a set of standard data of one of the preset influencing factors;

[0102] This step is mainly because the changes in the external environment every day will have an impact on the water quality data, and the resulting differences are large. Therefore, it is necessary to analyze the impact of the environment to facilitate the prediction of the standard water quality at the time of data collection.

[0103] By using correlation calculations, the relationship between various influencing factors and water quality fluctuations can be clearly demonstrated, so that the predicted water quality in the future will be more accurate and the overall use effect will be better.

[0104] S3. Calculate the weight coefficient corresponding to each influencing factor based on the correlation. The specific calculation formula is as follows;

[0105] ;

[0106] In the formula, is the weight coefficient corresponding to the i-th influencing factor, is the number of factors affecting the marine water quality assessment value, is the correlation between the ith influencing factor and the marine water quality evaluation value.

[0107] This step divides the weights according to the correlation, making the weight division more accurate, thereby improving the accuracy of subsequent calculations of water quality, thereby further improving the accuracy of subsequent calculations of microbial content, and the overall use effect is good.

[0108] For example, there are three influencing factors, and their corresponding correlation data are 0.65, 0.32 and 0.57 respectively. Then the weight corresponding to the first influencing factor is 0.65 / (0.65+0.32+0.57)≈0.422, the weight corresponding to the second influencing factor is 0.32 / (0.65+0.32+0.57)≈0.208, and the weight corresponding to the third influencing factor is 0.57 / (0.65+0.32+0.57)≈0.37.

[0109] The formula for predicting ocean water quality data at future periodic collection points without repair is as follows:

[0110] ;

[0111] In the formula, For the ocean water quality data collected periodically at future time points without repair, The data of the future periodic collection time point of the i-th influencing factor, is the preset standard data of the i-th influencing factor, The ocean water quality data for the pollution status detected at the end of the previous period, The ocean water quality data for the preset standard seawater;

[0112] For pollution conditions, It is the normal ocean water quality fluctuation data in the future time. After superposition, the ocean water quality data in the future time can be obtained.

[0113] Since trimming is performed in each cycle and can generally be done well, Can represent pollution conditions;

[0114] In order to ensure the original plan, we will encounter special times and changing environments. There is a big deviation from the original plan. use Instead, Ocean water quality data for polluted water tested before marine restoration, Marine water quality data for planned restoration.

[0115] Mainly to ensure accuracy, water quality needs to be collected multiple times. The environment for each collection is different, and the impact of the environment on water quality is different. If the environmental impact is not taken into account, there will be a large error in the calculated microbial count, which will affect the subsequent adjustment plan.

[0116] Predict ocean water quality data at future periodic collection points after restoration;

[0117] ;

[0118] In the formula, In order to predict the ocean water quality data at future periodic collection points after restoration, is a constant coefficient, , is the number of cycles in which the current seawater restoration is in the marine bioremediation program, To estimate the improvement in marine water quality from the current cycle of marine bioremediation programs, The ocean water quality evaluation data is the ocean's ability to self-repair in a cycle when the ocean is low-pollution. is the total number of restoration cycles in the marine bioremediation program.

[0119] The ocean's self-repair ability to pollution in the previous cycle.

[0120] For example, if the marine biological restoration plan requires 10 cycles of restoration and we are now in the third cycle, then the predicted future time will be the ocean water quality data at the end of the third cycle.

[0121] When there is a predicted value and the periodic collection time node is reached, the ocean water quality data at that time can be directly compared with the predicted data to determine whether the ocean restoration has achieved the original idea and whether there are any abnormalities in the ocean restoration. This process is based on the repair correction module.

[0122] Restoration and correction module: used to calculate the standard restoration interval based on the predicted ocean water quality data at the future periodic collection time point after restoration, and then compare the periodically collected real-time ocean water quality data with the standard restoration interval to determine whether the real-time periodically collected ocean water quality data is within the standard restoration interval;

[0123] If the ocean water quality data is within the standard restoration range, no adjustment will be made;

[0124] If the ocean water quality data is outside the standard repair range, the area surrounding the corresponding buoy collecting ocean water quality data is marked as abnormal;

[0125] The standard repair interval is , and its calculation formula is as follows:

[0126] ;

[0127] In the formula, is a constant coefficient, 10≤ ≤20.

[0128] Because marine restoration is affected by environmental interference, it is normal for there to be certain differences in restoration effects. Therefore, in order to make a better comparison, it is necessary to generate corresponding intervals based on the predicted ocean water quality data at future periodic collection time points after restoration. The above calculation is to calculate the corresponding intervals, which makes it easier to compare data.

[0129] When there are regional anomalies, in order to accurately calculate the required amount of microorganisms, data must be collected multiple times at intervals and multiple judgments must be made to obtain more accurate data. This process is based on the difference calculation module.

[0130] The difference calculation module is used to start the buoy every time interval to collect the ocean water quality data of the abnormal area, obtain L groups of ocean water quality data in total, and calculate the average value of the difference data between the L groups of ocean water quality data and the predicted ocean water quality data at the corresponding time point;

[0131] The previous sequence predicted the ocean water quality data at different times. Now the ocean water quality data at different times is collected, the corresponding differences are calculated, and the average value is calculated, which is the corresponding amount of water quality that needs to be repaired this time.

[0132] The formula for calculating the average value of the difference between the L group of ocean water quality data and the predicted ocean water quality data at the corresponding time point is as follows:

[0133] ;

[0134] In the formula, is the average value of the difference data, is the i-th group of ocean water quality data, For the predicted Ocean water quality data at the corresponding time point.

[0135] To improve accuracy, you can also remove the maximum and minimum values.

[0136] The corresponding calculation formula is as follows:

[0137]

[0138] After calculating the error of the repair in the previous cycle, it is necessary to combine the water quality of the current cycle repair plan with the original plan to obtain the overall water quality that needs to be repaired, deduce the required amount of microorganisms, and also deduce the current amount of microorganisms in marine sewage, so as to calculate the amount of microorganisms that need to be supplemented. This process is based on the repair adjustment module.

[0139] The repair adjustment module calculates the repair scheme adjustment value based on the average value of the difference data, future marine environmental data and historical water quality repair data, formulates an adjusted repair scheme based on the repair scheme adjustment value, and then executes the adjusted repair scheme.

[0140] The steps to calculate the repair solution adjustment value are as follows:

[0141] Analyze the average value of difference data, historical water quality restoration data and marine biological restoration plans, and calculate the marine water quality data that needs to be restored in the next cycle;

[0142] The formula for calculating the ocean water quality data that needs to be repaired in the next cycle is as follows:

[0143] ;

[0144] In the formula, Ocean water quality data that needs to be restored for the next cycle;

[0145] The water quality data corresponding to the original marine restoration plan, The water quality data corresponding to the insufficient repair in the previous cycle.

[0146] Under normal circumstances , except for special scenarios such as storms, where large numbers of microorganisms die.

[0147] Obtain future marine environmental data, calculate the environmental impact marine water quality restoration value, and adjust the added microbial content according to the marine water quality restoration value.

[0148] The formula for calculating the environmental impact marine water quality restoration value is as follows:

[0149] ;

[0150] In the formula, The calculated environmental impact marine water quality restoration value is is the type of environmental factors, is the number of the i-th environmental impact factor monitored, is the preset standard value of the i-th environmental impact factor, The influence coefficient corresponding to the i-th influencing factor;

[0151] The higher the restoration value of environmental impact marine water quality, the worse the environment is and the less suitable it is for the survival of microorganisms. Therefore, it is necessary to reduce the amount of added microorganisms. After the abnormal environment is over, the marine sewage quality data should be remeasured and the plan should be re-formulated. The main reason is that the environment causes the seawater to flow over a large range, making the original area chaotic. Therefore, it is necessary to re-test and re-treat the sewage.

[0152] The weight coefficient is determined by the coefficient of variation method, which is a method of weighting each indicator according to the degree of variation between the current value of each evaluation indicator and the target value. If the numerical difference of an indicator is large, it can clearly distinguish the evaluated objects, indicating that the indicator has rich discrimination information, and thus the indicator should be given a larger weight. On the contrary, if the numerical difference of each evaluated object on a certain indicator is small, then the ability of this indicator to distinguish the evaluation objects is weak, and thus the indicator should be given a smaller weight. This method directly uses the information contained in each indicator and obtains the weight of the indicator through calculation, so it is objective.

[0153] Other weight coefficients are discussed by experts in the above manner, and most companies in this field have corresponding weight coefficients.

[0154] The formula for adjusting the added microbial content according to the marine water quality restoration value is as follows:

[0155] ;

[0156] In the formula, The added microbial content, Governance in marine bioremediation programs Microbial load required for water quality data, Governance in marine bioremediation programs Microbial load required for water quality data, The marine water quality data for the pollution status detected at the end of the previous period, The ocean water quality data of the pollution status detected at the beginning of the previous cycle, is the correction coefficient, 0.6< <1, is a constant coefficient, >1;

[0157] For example, according to the original plan, governance The amount of microorganisms required is , and the water quality that needs to be repaired at this time is , so the amount of microorganisms required is , The pollution control effect of the previous cycle, the treatment of the previous cycle The amount of microorganisms required is Therefore, the remaining microbial mass in the previous cycle is Since the microbial content is high in the early stage of the last cycle and low in the later stage, the remaining microbial content cannot reach Therefore, it is necessary to adopt Make corrections, For environmental impact, the better the environment, The bigger it is, the more microorganisms are released.

[0158] When formulating an adjustment and repair plan, the calculated The maximum value recorded in the marine bioremediation plan is set Make a comparison;

[0159] like > , then the amount of microorganisms added in the remediation scheme is adjusted to ;

[0160] When the maximum value is exceeded When the microbial content after addition is too high, it will be detrimental to the survival of microorganisms and will cause other pollution, which is not conducive to water quality repair. Therefore, the addition amount is the upper limit, and and The microorganisms corresponding to the difference can be added in the middle of the cycle, at which time some of the microorganisms die and are lost, increasing the risk-free ( and The difference will not be too big);

[0161] like ≤ , then the amount of microorganisms added in the remediation scheme is adjusted to .

[0162] The present invention provides a data management system for marine environment monitoring using buoys, which further analyzes and processes historical marine data and historical water quality restoration data, analyzes the fluctuation of marine water quality itself and the medium-term data of normal marine pollution restoration, so that the water quality data has an accurate comparison value, so that it can more accurately judge whether there is an abnormality in the treatment of marine pollution, and can further analyze the pollution difference that needs to be remedied, and further analyze the amount of microorganisms needed, so that the corresponding pollution treatment personnel can be convenient for timely and reasonable supplementation of microorganisms, the use effect is good, and it has a good prospect for use.

[0163] In this case, microorganisms can be added directly without adding them in batches, which is more convenient.

[0164] The microorganisms use corresponding microbial agents.

[0165] The present invention provides a data management system for marine environmental monitoring using buoys, which analyzes and processes marine data, water quality restoration data, and marine environmental data, clarifies the relationship between water quality, the ocean, and the environment, and further processes and analyzes the content of microorganisms in marine polluted water. In combination with the pre-planning of marine biological restoration programs, it can help relevant technical personnel to adjust the content of microorganisms in a timely manner, so that the treatment of severe marine pollution can proceed according to the original plan, and can effectively improve the efficiency of marine treatment. Moreover, the entire process does not require laboratory cooperation, has a relatively low cost, and has a good use effect, and has a good application prospect.

[0166] A data management method for marine environment monitoring using buoys comprises the following steps:

[0167] Obtain historical ocean data, historical water quality restoration data, periodically collected ocean water quality data, and future ocean environment data;

[0168] Analyze the acquired historical ocean data and combine it with future marine environmental data to predict the ocean water quality data at future periodic collection time points without restoration. Combine the historical water quality restoration data with the applied marine biological restoration plan to predict the ocean water quality data at future periodic collection time points after restoration.

[0169] The standard restoration interval is calculated based on the predicted ocean water quality data at future periodic collection time points after restoration, and then the real-time ocean water quality data collected periodically is compared with the standard restoration interval to determine whether the real-time periodic collection of ocean water quality data is within the standard restoration interval;

[0170] If the ocean water quality data is within the standard restoration range, no adjustment will be made;

[0171] If the ocean water quality data is outside the standard repair range, the area surrounding the corresponding buoy collecting ocean water quality data is marked as abnormal;

[0172] The buoy is started after a certain period of time to collect the ocean water quality data of the abnormal area, and a total of L groups of ocean water quality data are obtained, and the average value of the difference data between the L groups of ocean water quality data and the predicted ocean water quality data at the corresponding time point is calculated;

[0173] The restoration plan adjustment value is calculated based on the average value of the difference data, future marine environmental data and historical water quality restoration data, and an adjusted restoration plan is formulated based on the restoration plan adjustment value, and then the adjusted restoration plan is implemented.

[0174] All formulas in this application are obtained by collecting a large amount of data and performing software simulation to obtain a formula for the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0175] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0176] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0177] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A data management system for marine environment monitoring using buoys, which is used for data management in the process of marine water quality management, characterized in that: The data management system for marine environment monitoring using buoys includes: Data acquisition module: used to obtain historical ocean data, historical water quality restoration data, periodically collected ocean water quality data, and future ocean environment data; Data analysis module: used to analyze the acquired historical ocean data, combine it with future ocean environment data, predict the ocean water quality data at future periodic collection time points without restoration, and combine it with historical water quality restoration data and applied marine biological restoration solutions to predict the ocean water quality data at future periodic collection time points after restoration; Restoration and correction module: used to calculate the standard restoration interval based on the predicted ocean water quality data at the future periodic collection time point after restoration, and then compare the periodically collected real-time ocean water quality data with the standard restoration interval to determine whether the real-time periodically collected ocean water quality data is within the standard restoration interval; If the ocean water quality data is within the standard restoration range, no adjustment will be made; If the ocean water quality data is outside the standard repair range, the area surrounding the corresponding buoy collecting ocean water quality data is marked as abnormal; Difference calculation module: used to start the buoy every time interval to collect the ocean water quality data of the abnormal area, obtain L groups of ocean water quality data in total, and calculate the average value of the difference data between the L groups of ocean water quality data and the predicted ocean water quality data at the corresponding time point; Restoration adjustment module: used to calculate the restoration plan adjustment value based on the average value of the difference data, future marine environmental data and historical water quality restoration data, and formulate an adjustment restoration plan based on the restoration plan adjustment value, and then execute the adjustment restoration plan.

2. A data management system for marine environment monitoring using buoys according to claim 1, characterized in that: Historical ocean data include historical ocean environment data and corresponding historical ocean water quality data. The historical water quality restoration data include bay water quality microbial restoration data, tidal flat water quality microbial restoration data, shallow sea water quality microbial restoration data and nearshore water quality microbial restoration data. The periodically collected ocean water quality data include water temperature, salinity, electrical conductivity, metal element content, nitrogen content, biochemical oxygen demand, chemical oxygen demand and suspended matter index periodically collected by buoys. The ocean environment data include temperature, humidity, light, dissolved oxygen content and wind level.

3. A data management system for marine environment monitoring using buoys according to claim 2, characterized in that: The steps used to analyze the acquired historical ocean data are as follows: S1. Sort out the historical ocean data obtained and calculate the ocean water quality evaluation value based on the historical ocean water quality data. The specific formula is as follows: ； In the formula, is the ocean water quality evaluation value, is the number of water quality evaluation indicators, m is the number of times the i-th water quality evaluation indicator is monitored, is the difference between the j-th monitoring data of the i-th water quality evaluation index and the preset standard data, is the weight corresponding to the i-th water quality evaluation index, is the maximum value among the m groups of difference data in the i-th water quality evaluation index; S2. Calculate the correlation between each influencing factor in the marine environment data and the marine water quality evaluation value; The specific calculation formula is as follows: ； In the formula, is the correlation between one set of processed influencing factor data and the marine water quality evaluation value, is the number of marine water quality evaluation values, is the i-th group of data of one of the influencing factors after treatment, is the marine water quality evaluation value of the i-th group, is the i-th group of data in which one of the influencing factors is not processed, It is a set of standard data of one of the preset influencing factors; S3. Calculate the weight coefficient corresponding to each influencing factor based on the correlation. The specific calculation formula is as follows; ； In the formula, is the weight coefficient corresponding to the i-th influencing factor, is the number of factors affecting the marine water quality assessment value, is the correlation between the ith influencing factor and the marine water quality evaluation value.

4. A data management system for marine environment monitoring using buoys according to claim 3, characterized in that: The formula for predicting ocean water quality data at future periodic collection points without repair is as follows: ； In the formula, For the ocean water quality data collected periodically at future time points without repair, The data of the future periodic collection time point of the i-th influencing factor, is the preset standard data of the i-th influencing factor, The ocean water quality data for the pollution status detected at the end of the previous period, The ocean water quality data for the preset standard seawater; Predict ocean water quality data at future periodic collection points after restoration; ； In the formula, In order to predict the ocean water quality data at future periodic collection points after restoration, is a constant coefficient, , is the number of cycles in which the current seawater restoration is in the marine bioremediation program, To estimate the improvement in marine water quality from the current cycle of marine bioremediation programs, The ocean water quality evaluation data is the ocean's ability to self-repair in a cycle when the ocean is low-pollution. is the total number of restoration cycles in the marine bioremediation program.

5. A data management system for marine environment monitoring using buoys according to claim 4, characterized in that: The standard repair interval is , and its calculation formula is as follows: ； In the formula, is a constant coefficient, 10≤ ≤20.

6. A data management system for marine environment monitoring using buoys according to claim 5, characterized in that: The formula for calculating the average value of the difference between the L group of ocean water quality data and the predicted ocean water quality data at the corresponding time point is as follows: ； In the formula, is the average value of the difference data, is the i-th group of ocean water quality data, For the predicted Ocean water quality data at the corresponding time point.

7. A data management system for marine environment monitoring using buoys according to claim 6, characterized in that: The steps to calculate the repair solution adjustment value are as follows: Analyze the average value of difference data, historical water quality restoration data and marine biological restoration plans, and calculate the marine water quality data that needs to be restored in the next cycle; Obtain future marine environmental data, calculate the environmental impact marine water quality restoration value, and adjust the added microbial content according to the marine water quality restoration value.

8. A data management system for marine environment monitoring using buoys according to claim 7, characterized in that: The formula for calculating the ocean water quality data that needs to be repaired in the next cycle is as follows: ； In the formula, Ocean water quality data needs to be repaired for the next cycle.

9. A data management system for marine environment monitoring using buoys according to claim 8, characterized in that: The formula for calculating the environmental impact marine water quality restoration value is as follows: ； In the formula, The calculated environmental impact marine water quality restoration value is is the type of environmental factors, is the number of the i-th environmental impact factor monitored, is the preset standard value of the i-th environmental impact factor, The influence coefficient corresponding to the i-th influencing factor; The formula for adjusting the added microbial content according to the marine water quality restoration value is as follows: ； In the formula, The added microbial content, Governance in marine bioremediation programs Microbial load required for water quality data, Governance in marine bioremediation programs Microbial load required for water quality data, The marine water quality data for the pollution status detected at the end of the previous period, The ocean water quality data of the pollution status detected at the beginning of the previous cycle, is the correction factor, 0.6< <1, is a constant coefficient, >1; When formulating an adjustment and repair plan, the calculated The maximum value recorded in the marine bioremediation plan is set Make a comparison; like > , then the amount of microorganisms added in the remediation scheme is adjusted to ; like ≤ , then the amount of microorganisms added in the remediation scheme is adjusted to .

10. A data management method for marine environment monitoring using buoys, using any system described in claims 1 to 9, characterized in that: The steps include: Obtain historical ocean data, historical water quality restoration data, periodically collected ocean water quality data, and future ocean environment data; Analyze the acquired historical ocean data and combine it with future marine environmental data to predict the ocean water quality data at future periodic collection time points without restoration. Combine the historical water quality restoration data with the applied marine biological restoration plan to predict the ocean water quality data at future periodic collection time points after restoration. The standard restoration interval is calculated based on the predicted ocean water quality data at future periodic collection time points after restoration, and then the real-time ocean water quality data collected periodically is compared with the standard restoration interval to determine whether the real-time periodic collection of ocean water quality data is within the standard restoration interval; If the ocean water quality data is within the standard restoration range, no adjustment will be made; If the ocean water quality data is outside the standard repair range, the area surrounding the corresponding buoy collecting ocean water quality data is marked as abnormal; The buoy is started after a certain period of time to collect the ocean water quality data of the abnormal area, and a total of L groups of ocean water quality data are obtained, and the average value of the difference data between the L groups of ocean water quality data and the predicted ocean water quality data at the corresponding time point is calculated; The restoration plan adjustment value is calculated based on the average value of the difference data, future marine environmental data and historical water quality restoration data, and an adjusted restoration plan is formulated based on the restoration plan adjustment value, and then the adjusted restoration plan is implemented.

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