Ecological fishery resource assessment method and system based on data analysis

Abstract

The invention is suitable for the technical field of fishery resource evaluation, and particularly relates to an ecological fishery resource evaluation method and system based on data analysis, and the method comprises the steps: delimiting an evaluation water area of ecological fishery resources, determining a plurality of ideal evaluation dates, and obtaining a plurality of evaluation data on the basis of a pre-obtained positioning authority; calculating the number of fishing boats catching fishes in the sea in each ideal evaluation date, finding out the ideal evaluation date with the largest number of the fishing boats, defining the ideal evaluation date as a target date, selecting a plurality of test times in the target date, collecting the real-time positions of the fishing boats in the evaluation water area, and generating a position snapshot. According to the method, the total fish quantity is calculated for multiple times, the accuracy of prediction data can be greatly improved, data support is provided for fishery production decision making, the calculated total fish quantity can be corrected by defining the test sample, the accuracy of the total fish quantity is further improved, and powerful support is provided for fishery resource evaluation and production decision making.

Description

Technical Field

[0001] The present invention relates to the technical field of fishery resource assessment, and in particular to an ecological fishery resource assessment method and system based on data analysis. Background Art

[0002] Fishery resource assessments are generally conducted by professionals using fishery resource survey vessels to conduct regular or irregular on-site fishing activities, collect data on the species, quantity, size and distribution of fish populations, obtain fish catch samples from different regions, and then analyze the current status and changing trends of fish resources.

[0003] However, data collected through fishery resource survey vessels and fishing surveys are often limited to specific times and locations, and because the locations of fish schools are constantly changing, the catch samples obtained through the above methods cannot represent the overall situation of fishery resources.

[0004] At the same time, in some cases, due to the influence of weather, environment, and the on-site fishing capabilities of professionals, the collected data is difficult to truly reflect the total fish population in the waters to be assessed.

[0005] Therefore, how to accurately obtain the total amount of fish in the assessment water area is a technical problem that the present invention needs to solve. Summary of the invention

[0006] The purpose of the present invention is to provide an ecological fishery resource assessment method and system based on data analysis to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: An ecological fishery resource assessment method and system based on data analysis, the method comprising: Delineate the assessment waters for ecological fishery resources, and determine several ideal assessment dates. Based on the pre-acquired positioning authority, count the number of fishing boats going out to sea to fish on each of the ideal assessment dates, find the ideal assessment date with the largest number of fishing boats, and define it as the target date. Select several test times on the target date, collect the real-time positions of fishing boats in the assessment waters, generate position snapshots, and configure a one-to-one correspondence between the position snapshots and the test times. Draw a plan of the assessment waters and mark the boundaries, traverse the position snapshots, define a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimate the number of fish within the monitoring range using the echo signal of the fishing boat sonar; Marking the monitoring range on the plan view, defining the area in the plan view other than the monitoring range as a blind area, dividing the blind area to obtain a plurality of sub-areas, finding the monitoring range closest to each of the sub-areas and determining it as a target range, calculating the average fish quantity per unit area in the target range, estimating the number of fish in each sub-area, and superimposing the number of fish in all monitoring ranges and sub-areas to obtain a total fish quantity; Define test samples. When the real-time position of a fishing boat coincides with the preset return port position, randomly select several detection targets from all fishing boats, calculate the proportion of test samples in the detection targets, and based on the proportion, deduce correction parameters to adjust the total fish quantity.

[0008] Furthermore, the step of determining a number of ideal evaluation dates includes: Collecting environmental data in the assessment waters, wherein the environmental data at least includes: weather, moon phases and fish migration, and configuring a fishing window period; From within the fishing window, select a number of ideal evaluation dates.

[0009] Furthermore, the step of selecting a number of test times in the target date, collecting the real-time position of the fishing boat in the assessment waters, and generating a position snapshot includes: Calculate the real-time speed of each fishing boat, and delete the fishing boats whose real-time speed is less than a threshold from the position snapshot; The labels generated at test time are inserted into the position snapshot.

[0010] Furthermore, the steps of drawing a plan of the assessment water area and marking the boundaries, traversing the position snapshots, defining a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimating the number of fish within the monitoring range using the echo signal of the fishing boat sonar include: Determine whether the monitoring ranges of two adjacent fishing vessels overlap, and if so, merge the monitoring ranges; The number of occurrences of fish schools in each monitoring range is recorded, and the monitoring ranges are arranged in descending order according to the number of occurrences to obtain a monitoring queue, and the monitoring queue is pushed to a preset terminal.

[0011] Furthermore, the method further comprises: Embedding a timestamp generated by the test time into the position snapshot via the corresponding relationship; Integrate all location snapshots, generate snapshot sets, and define exceptions.

[0012] Furthermore, the step of dividing the blind area into a plurality of sub-areas includes: Divide the blind area into a grid to obtain a plurality of sub-areas, traverse the center of the circle closest to the sub-area, define the corresponding monitoring range as the target range, and establish a mapping between the target range and the corresponding sub-area; Based on the mapping, the target range and the water area of ​​the corresponding sub-area are calculated, and the total amount of fish is calculated based on the quantity.

[0013] Furthermore, the step of randomly selecting a number of detection targets and calculating the proportion of test samples in the detection targets includes: Record the physiological data of the test sample, compare the changes using the detection target, and divide the changes into several individual items; Through the single item, a preset comparison table is queried to determine a treatment measure, and the treatment measure is pushed to a preset terminal.

[0014] Furthermore, the system comprises: A configuration module is used to delineate the assessment waters of ecological fishery resources and determine a number of ideal assessment dates. Based on the pre-acquired positioning authority, the number of fishing boats going out to sea to fish on each of the ideal assessment dates is counted, the ideal assessment date with the largest number of fishing boats is found, and defined as the target date. In the target date, a number of test times are selected, the real-time positions of fishing boats in the assessment waters are collected, a position snapshot is generated, and a one-to-one correspondence between the position snapshot and the test time is configured; An estimation module is used to draw a plan of the assessment water area and mark the boundaries, traverse the position snapshot, define a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimate the number of fish within the monitoring range using the echo signal of the fishing boat sonar; A obtaining module is used to mark the monitoring range into the plan view, define the area in the plan view other than the monitoring range as a blind area, divide the blind area to obtain a plurality of sub-areas, find out the monitoring range closest to each of the sub-areas, determine it as a target range, calculate the average fish quantity per unit area in the target range, and estimate the number of fish in each sub-area, superimpose the number of fish in all monitoring ranges and sub-areas, and obtain the total fish quantity; The adjustment module is used to define test samples. When the real-time position of a fishing boat coincides with the preset return port position, a number of detection targets are randomly selected from all fishing boats, the proportion of test samples in the detection targets is calculated, and based on the proportion, correction parameters are calculated to adjust the total fish quantity.

[0015] Furthermore, the configuration module includes: A collection unit, used to collect environmental data in the assessment waters, wherein the environmental data at least includes: weather, moon phase and fish migration, and configure a fishing window period; A selection unit, used to select a number of ideal evaluation dates from the fishing window period; A deleting unit, used to calculate the real-time speed of each fishing boat, and delete the fishing boats whose real-time speed is less than a threshold from the position snapshot; The inserting unit is used to insert the label generated at the test time into the position snapshot.

[0016] Furthermore, the estimation module includes: A merging unit, used to determine whether the monitoring ranges of two adjacent fishing vessels overlap, and if so, merge the monitoring ranges; The push unit is used to record the number of occurrences of fish schools in each monitoring range, and arrange the monitoring ranges in descending order of the number of occurrences to obtain a monitoring queue, and push the monitoring queue to a preset terminal.

[0017] Compared with the prior art, the present invention has the following beneficial effects: By determining an ideal assessment date, the present invention can plan the assessment time in advance, better schedule resource assessment activities, and reduce the influence of weather, environmental and other factors. By determining a target date, the activity range of fishing vessels can be increased, thereby detecting assessment waters in a larger range, greatly increasing the representativeness of detection data. By determining multiple test times, the assessment waters can be detected and analyzed multiple times, thereby enhancing a comprehensive understanding of the distribution of fishery resources and reducing the influence of fish school movement on detection data. By calculating the total fish volume multiple times, the accuracy of predicted data can be greatly improved, providing data support for fishery production decisions. By defining test samples, the calculated total fish volume can be corrected, further improving the accuracy of the total fish volume, and providing strong support for fishery resource assessment and production decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0019] Figure 1 A flowchart of an ecological fishery resource assessment method based on data analysis provided in an embodiment of the present invention.

[0020] Figure 2 A flowchart of the first sub-process of the ecological fishery resources assessment method based on data analysis provided in an embodiment of the present invention.

[0021] Figure 3 A second sub-process flowchart of the ecological fishery resources assessment method based on data analysis provided in an embodiment of the present invention.

[0022] Figure 4 A third sub-process flowchart of the ecological fishery resources assessment method based on data analysis provided in an embodiment of the present invention.

[0023] Figure 5 A fourth sub-process flowchart of the ecological fishery resources assessment method based on data analysis provided in an embodiment of the present invention.

[0024] Figure 6 A block diagram of the composition of an ecological fishery resource assessment system based on data analysis provided in an embodiment of the present invention.

[0025] Figure 7 A block diagram of the composition of the configuration module in the ecological fishery resource assessment system based on data analysis provided by an embodiment of the present invention.

[0026] Figure 8 A block diagram of the composition of an estimation module in an ecological fishery resource assessment system based on data analysis provided in an embodiment of the present invention.

[0027] Fig. 9 A block diagram of the composition of a module in an ecological fishery resource assessment system based on data analysis provided in an embodiment of the present invention.

[0028] Fig.10 A block diagram of the composition of the adjustment module in the ecological fishery resource assessment system based on data analysis provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0030] Figure 1 The overall flow chart of the ecological fishery resource assessment method and system based on data analysis is as follows. In an embodiment of the present invention, an ecological fishery resource assessment method based on data analysis includes: S100: Delineate the assessment waters for ecological fishery resources and determine several ideal assessment dates; based on the pre-acquired positioning authority, count the number of fishing boats going out to sea to fish on each of the ideal assessment dates; find out the ideal assessment date with the largest number of fishing boats and define it as the target date; select several test times on the target date, collect the real-time positions of fishing boats in the assessment waters, generate position snapshots, and configure a one-to-one correspondence between the position snapshots and the test times.

[0031] In areas where ecological fishery resource assessment is required, assessment waters are delineated, and multiple ideal assessment dates are determined based on factors such as weather and fish migration, where the climate and sea conditions on the ideal assessment dates are relatively ideal; the number of fishing boats going out to sea to fish on the ideal assessment dates is recorded, and the time when the number of fishing boats is the largest is determined as the target date; in other words, during the target date, the fishing boats are most active and the fishing range is larger. At this time, by analyzing the sonar data of all fishing boats going out to sea to fish, the representativeness of the sonar data can be improved, and the status of fishery resources can be more realistically and comprehensively reflected; during the target date, multiple test times are selected, and when the test time arrives, a location snapshot is generated based on the real-time location of the fishing boat.

[0032] For example, in the assessment waters area A, the weather and sea conditions from April 15 to April 18 are ideal and suitable for fishing, so these days are defined as ideal assessment dates, the number of fishing boats going out to sea to fish on the 15th is recorded, and 1:30, 2:30 and 3:30 on the 15th are selected as test times, and position snapshots of all fishing boats in area A are generated at each time.

[0033] In addition, it should be noted that in the location snapshot, it is necessary to delete the fishing boats that are fishing or about to fish based on their speed, leaving only the fishing boats that are heading to the fishing destination; because the fishing boats that are fishing will follow the schools of fish, the collected sonar data is not representative and cannot reflect the overall situation of the assessed waters.

[0034] If on the 16th, based on the real-time positions of the fishing boats, it is monitored that the number of fishing boats going out to sea to fish at 3:15 is greater than the peak value on the 15th, then a position snapshot of all fishing boats in area A at this moment will be generated, and the 16th will be the target date; if the number of fishing boats going out to sea to fish on the 16th is not greater than the peak value on the 15th, then no evaluation will be made on the 16th.

[0035] In this embodiment, only the calculation process of the total amount of fish is taken as an example. If it is necessary to evaluate the types and growth of fish in the assessment water area, it is necessary to further process the sonar data to determine the specific types of fish within the monitoring range and determine the growth of the fish by marking.

[0036] S200: Draw a plan of the assessment water area and mark the boundaries, traverse the position snapshots, define a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimate the number of fish within the monitoring range using the echo signal of the fishing boat sonar.

[0037] Based on the location snapshot, the real-time location of the fishing boat is marked on the plan view, and the monitoring range of each fishing boat is delineated with the real-time location as the center and the detection distance of the sonar in the fishing boat as the radius. The number of fish within the monitoring range is estimated using the echo signal. If the monitoring ranges of two fishing boats overlap, the monitoring ranges are merged and only the overlapping area is estimated once.

[0038] S300: Mark the monitoring range on the plan view, define the area in the plan view except the monitoring range as a blind area, divide the blind area into several sub-areas, find out the monitoring range closest to each sub-area and determine it as the target range, calculate the average amount of fish per unit area in the target range, estimate the number of fish in each sub-area, superimpose all the monitoring ranges and the number of fish in the sub-areas, and obtain the total amount of fish.

[0039] Calculate the number of fish in each monitoring range and mark them on the plan. Define the area except the monitoring range in the plan as a blind area. Divide the blind area into a grid to obtain several sub-areas. Determine the target range corresponding to the sub-area. Calculate the average amount of fish in the target range. Infer the number of fish in the sub-area based on the area of ​​the sub-area. Superimpose all the monitoring ranges and the number of fish in the sub-area to get the total amount of fish in the assessed waters.

[0040] In this embodiment, it is assumed that the average fish population in the blind area is the same as that in its nearest monitoring range.

[0041] S400: Define test samples. When the real-time position of a fishing boat coincides with the preset return port position, randomly select several detection targets from all fishing boats, calculate the proportion of test samples in the detection targets, and based on the proportion, deduce correction parameters to adjust the total fish quantity.

[0042] Before the ideal assessment date, fishing is carried out in advance, and physical, chemical or electronic tags are inserted into the fish bodies. After marking, the fish are returned to the assessment waters; on the target date, when the fishing boats have finished fishing, multiple fishing boats are randomly selected and determined as detection targets; the proportion of marked fish in all fish caught among the detection targets is calculated, and the total amount of all fish in the assessment waters is deduced, and this total amount is determined as a correction parameter to correct the total amount of fish in the above S300.

[0043] In Example 2, Figure 2 The implementation process of the ecological fishery resource assessment method based on data analysis provided by an embodiment of the present invention is shown, and the steps of determining several ideal assessment dates are described in detail as follows: S101: Collect environmental data in the assessment waters, wherein the environmental data at least includes: weather, moon phases and fish migration, and configure a fishing window period.

[0044] Based on the environmental data in the assessed waters, the fishing window is determined, where the fishing window indicates the time period suitable for fishing.

[0045] S102: Selecting a number of ideal evaluation dates from the fishing window period.

[0046] When the ideal assessment date arrives, preparations for fishery resource assessment should be made in advance; for example, the positioning authority of the fishing vessel can be obtained in advance through a preset platform, and the fishing destination and fishing tasks can be determined in advance to reduce the amount of data processing; the preset platform can be a social platform or a fishery resource assessment platform.

[0047] In Example 3, Figure 2 The implementation process of the ecological fishery resource assessment method based on data analysis provided by an embodiment of the present invention is shown. The following is a detailed description of the steps of selecting several test times in the target date, collecting the real-time positions of fishing boats in the assessment waters, and generating position snapshots, as follows: S103: Calculate the real-time speed of each fishing boat, and delete the fishing boats whose real-time speed is less than a threshold from the position snapshot.

[0048] By comparing the real-time speed of each fishing boat with the threshold, it is determined whether the fishing boat is fishing. If a fishing boat is fishing, it will be deleted from the position snapshot. The benefit of this is that the representativeness of the sonar data in the position snapshot can be improved.

[0049] S104: inserting a label generated by the test time into the position snapshot.

[0050] For each test time, a position snapshot of all fishing vessels in the assessment waters is generated, and the total fish volume is calculated based on each position snapshot. By calculating the total fish volume multiple times, accidental errors are reduced and the data accuracy of the total fish volume is improved.

[0051] In Example 4, Figure 3 The implementation process of the ecological fishery resource assessment method based on data analysis provided by an embodiment of the present invention is shown. The following is a detailed description of the steps of drawing a plane map of the assessment water area, marking the boundaries, traversing the position snapshots, taking the real-time position as the center and the detection distance of the fishing boat sonar as the radius, defining the monitoring range, and estimating the number of fish within the monitoring range using the echo signal of the fishing boat sonar, as follows: S201: Determine whether the monitoring ranges of two adjacent fishing vessels overlap, and if so, merge the monitoring ranges.

[0052] If the monitoring ranges of two fishing vessels overlapped, the monitoring ranges were merged; for the overlapping parts, only one estimate of the number of fish was made.

[0053] S202: Record the number of occurrences of fish schools in each monitoring range, and arrange the monitoring ranges in descending order of the number of occurrences to obtain a monitoring queue, and push the monitoring queue to a preset terminal.

[0054] By integrating all the position snapshots (snapshot sets), and recording the appearance position of the school of fish, the appearance position is sent to a preset terminal, where the preset terminal is a user terminal of the fisherman. Since the location of the monitoring range in each position snapshot is different, it is necessary to mark the appearance position of the school of fish within the monitoring range, and record the number of appearances of the school of fish in each monitoring range. The school of fish refers to a group with a number of individuals greater than a threshold, and the threshold should be an approximate number. In all embodiments, fish and school of fish are not the same concept.

[0055] In Example 5, Figure 4 The implementation process of the ecological fishery resource assessment method based on data analysis provided by an embodiment of the present invention is shown. The steps of dividing the blind area to obtain a plurality of sub-areas are described in detail as follows: S301: Divide the blind area into a grid to obtain a plurality of sub-areas, traverse to find the center of the circle closest to the sub-area, define the corresponding monitoring range as the target range, and establish a mapping between the target range and the corresponding sub-area.

[0056] A unit distance is determined in the blind area, and a grid is created with the unit distance. The blind area is divided by the grid to obtain several sub-areas, and the target range corresponding to each grid is determined.

[0057] S302: Based on the mapping, the target range and the water area of ​​the corresponding sub-area are calculated, and the total amount of fish is calculated according to the quantity.

[0058] Assuming that the unit fish quantity in the target range is the same as the unit fish quantity in the corresponding sub-area, the fish quantity in the corresponding sub-area is calculated by the water area and unit fish quantity of the corresponding sub-area, and superimposed with the fish quantity in the target range to obtain the total fish quantity.

[0059] In Example 6, Figure 5 The implementation process of the ecological fishery resource assessment method based on data analysis provided by an embodiment of the present invention is shown. The steps of randomly selecting a number of detection targets and calculating the proportion of test samples in the detection targets are described in detail as follows: S401: Record the physiological data of the test sample, compare the changes using the detection target, and divide the changes into a number of individual items.

[0060] Before marking the fish, record the physiological data of the fish, and after the target is caught, find the same marked fish and compare the changes in physiological data; the physiological data includes: weight, growth and reproductive status, etc.

[0061] S402: Through the single item, query the preset comparison table, determine the processing measures, and push the processing measures to the preset terminal.

[0062] The reproductive data is divided into several items, namely, weight item and growth item, etc. The single items are compared with the preset comparison table to determine the treatment measures, and the treatment measures are pushed to the preset terminal; the preset terminal is the user terminal of the fisherman, and the comparison table includes several items, the standard value items corresponding to the single items and the treatment measure items. If the single item exceeds the standard value, the corresponding treatment measures should be used to deal with the marked fish caught.

[0063] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes: Embedding a timestamp generated by the test time into the position snapshot via the corresponding relationship; Integrate all location snapshots, generate snapshot sets, and define exceptions.

[0064] Calculate the total fish quantity of each location snapshot; sort all location snapshots in descending order of total fish quantity, and use the quartile method to identify location snapshots with total fish quantity less than Q1-1.5×IQR and greater than Q3+1.5×IQR as abnormal items, and delete the abnormal items from the snapshot set; Q1 is the lower quartile and Q3 is the upper quartile; the advantage of this is to eliminate the impact of total fish quantity with large deviation on the overall data.

[0065] Figure 6 The following is a structural block diagram of an ecological fishery resource assessment system based on data analysis provided by an embodiment of the present invention. The ecological fishery resource assessment system based on data analysis 1 includes: Configuration module 11 is used to delineate the assessment waters of ecological fishery resources and determine several ideal assessment dates. Based on the pre-acquired positioning authority, the number of fishing boats going out to sea to fish on each of the ideal assessment dates is counted, the ideal assessment date with the largest number of fishing boats is found and defined as the target date. In the target date, several test times are selected, the real-time positions of fishing boats in the assessment waters are collected, position snapshots are generated, and a one-to-one correspondence between the position snapshots and the test times is configured; The estimation module 12 is used to draw a plan view of the assessment water area and mark the boundaries, traverse the position snapshot, define a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimate the number of fish within the monitoring range using the echo signal of the fishing boat sonar; Obtaining module 13, used for marking the monitoring range into the plan view, defining the area in the plan view other than the monitoring range as a blind area, dividing the blind area to obtain a plurality of sub-areas, finding the monitoring range closest to each of the sub-areas, determining it as a target range, calculating the average fish quantity per unit area in the target range, estimating the number of fish schools in each sub-area, superimposing the number of fish schools in all monitoring ranges and sub-areas, and obtaining the total fish quantity; The adjustment module 14 is used to define test samples. When the real-time position of a fishing boat coincides with the preset return port position, a number of detection targets are randomly selected from all fishing boats, the proportion of test samples in the detection targets is calculated, and based on the proportion, correction parameters are calculated to adjust the total fish quantity.

[0066] Figure 7 The structure diagram of the ecological fishery resource assessment system based on data analysis provided by an embodiment of the present invention is shown, and the configuration module 11 includes: A collection unit 111 is used to collect environmental data in the assessment waters, wherein the environmental data at least includes: weather, moon phases and fish migration, and configure a fishing window period; A selection unit 112, for selecting a number of ideal evaluation dates from the fishing window period; A deleting unit 113 is used to calculate the real-time speed of each fishing boat, and delete the fishing boats whose real-time speed is less than a threshold from the position snapshot; The inserting unit 114 is configured to insert a label generated at the test time into the position snapshot.

[0067] Figure 8 The structural block diagram of the ecological fishery resource assessment system based on data analysis provided by an embodiment of the present invention is shown, and the estimation module 12 includes: A merging unit 121, used to determine whether the monitoring ranges of two adjacent fishing vessels overlap, and if so, merge the monitoring ranges; The push unit 122 is used to record the number of occurrences of fish schools in each monitoring range, and arrange the monitoring ranges in descending order of the number of occurrences to obtain a monitoring queue, and push the monitoring queue to a preset terminal.

[0068] Fig. 9The structural block diagram of the ecological fishery resource assessment system based on data analysis provided by an embodiment of the present invention is shown, and the obtaining module 13 includes: An establishing unit 131 is used to divide the blind area into a grid to obtain a plurality of sub-areas, traverse the center of the circle closest to the sub-area, define the corresponding monitoring range as the target range, and establish a mapping between the target range and the corresponding sub-area; The calculation unit 132 is used to calculate the target range and the water area of ​​the corresponding sub-area according to the mapping, and calculate the total amount of fish according to the quantity.

[0069] Fig.10 The structural block diagram of the ecological fishery resource assessment system based on data analysis provided by an embodiment of the present invention is shown, and the adjustment module 14 includes: The segmentation unit 141 is used to record the physiological data of the test sample, compare the changes using the detection target, and segment the changes into a plurality of individual items; The query unit 142 is used to query a preset comparison table through the single item, determine a processing measure, and push the processing measure to a preset terminal.

[0070] The configuration module 11 is mainly used to complete step S100, the estimation module 12 is mainly used to complete step S200, the obtaining module 13 is mainly used to complete step S300, and the adjustment module 14 is mainly used to complete step S400; The collection unit 111 is mainly used to complete step S101, the selection unit 112 is mainly used to complete step S102, the deletion unit 113 is mainly used to complete step S103, and the insertion unit 114 is mainly used to complete step S104; The merging unit 121 is mainly used to complete step S201, and the pushing unit 122 is mainly used to complete step S202; The establishing unit 131 is mainly used to complete step S301, and the calculating unit 132 is mainly used to complete step S302; The segmentation unit 141 is mainly used to complete step S401, and the query unit 142 is mainly used to complete step S402.

[0071] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. The ecological fishery resource assessment method based on data analysis is characterized by: The method comprises: Delineate the assessment waters for ecological fishery resources, and determine several ideal assessment dates. Based on the pre-acquired positioning authority, count the number of fishing boats going out to sea to fish on each of the ideal assessment dates, find the ideal assessment date with the largest number of fishing boats, and define it as the target date. Select several test times on the target date, collect the real-time positions of fishing boats in the assessment waters, generate position snapshots, and configure a one-to-one correspondence between the position snapshots and the test times. Draw a plan of the assessment waters and mark the boundaries, traverse the position snapshots, define a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimate the number of fish within the monitoring range using the echo signal of the fishing boat sonar; Marking the monitoring range on the plan view, defining the area in the plan view other than the monitoring range as a blind area, dividing the blind area to obtain a plurality of sub-areas, finding the monitoring range closest to each of the sub-areas and determining it as a target range, calculating the average fish quantity per unit area in the target range, estimating the number of fish in each sub-area, and superimposing the number of fish in all monitoring ranges and sub-areas to obtain a total fish quantity; Define test samples. When the real-time position of a fishing boat coincides with the preset return port position, randomly select several detection targets from all fishing boats, calculate the proportion of test samples in the detection targets, and based on the proportion, deduce correction parameters to adjust the total fish quantity.

2. The ecological fishery resource assessment method based on data analysis according to claim 1 is characterized in that: The steps of determining a number of ideal evaluation dates include: Collecting environmental data in the assessment waters, wherein the environmental data at least includes: weather, moon phases and fish migration, and configuring a fishing window period; From within the fishing window, select a number of ideal evaluation dates.

3. The ecological fishery resource assessment method based on data analysis according to claim 1 is characterized in that: The step of selecting a number of test times in the target date, collecting the real-time position of the fishing boat in the assessment waters, and generating a position snapshot comprises: Calculate the real-time speed of each fishing boat, and delete the fishing boats whose real-time speed is less than a threshold from the position snapshot; The labels generated at test time are inserted into the position snapshot.

4. The ecological fishery resource assessment method based on data analysis according to claim 3 is characterized in that: The steps of drawing a plane map of the assessment waters and marking the boundaries, traversing the position snapshots, defining a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimating the number of fish within the monitoring range using the echo signal of the fishing boat sonar include: Determine whether the monitoring ranges of two adjacent fishing vessels overlap, and if so, merge the monitoring ranges; The number of occurrences of fish schools in each monitoring range is recorded, and the monitoring ranges are arranged in descending order according to the number of occurrences to obtain a monitoring queue, and the monitoring queue is pushed to a preset terminal.

5. The ecological fishery resource assessment method based on data analysis according to claim 1 is characterized in that: The method further comprises: Embedding a timestamp generated by the test time into the position snapshot via the corresponding relationship; Integrate all location snapshots, generate snapshot sets, and define exceptions.

6. The ecological fishery resource assessment method based on data analysis according to claim 5 is characterized in that: The step of dividing the blind area to obtain a plurality of sub-areas includes: Divide the blind area into a grid to obtain a plurality of sub-areas, traverse the center of the circle closest to the sub-area, define the corresponding monitoring range as the target range, and establish a mapping between the target range and the corresponding sub-area; Based on the mapping, the target range and the water area of ​​the corresponding sub-area are calculated, and the total amount of fish is calculated based on the quantity.

7. The ecological fishery resource assessment method based on data analysis according to claim 1 is characterized in that: The step of randomly selecting a number of detection targets and calculating the proportion of test samples in the detection targets includes: Record the physiological data of the test sample, compare the changes using the detection target, and divide the changes into several individual items; Through the single item, a preset comparison table is queried to determine a treatment measure, and the treatment measure is pushed to a preset terminal.

8. The ecological fishery resource assessment system based on data analysis is characterized by: The system comprises: A configuration module is used to delineate the assessment waters of ecological fishery resources and determine a number of ideal assessment dates. Based on the pre-acquired positioning authority, the number of fishing boats going out to sea to fish on each of the ideal assessment dates is counted, the ideal assessment date with the largest number of fishing boats is found, and defined as the target date. In the target date, a number of test times are selected, the real-time positions of fishing boats in the assessment waters are collected, a position snapshot is generated, and a one-to-one correspondence between the position snapshot and the test time is configured; An estimation module is used to draw a plan of the assessment water area and mark the boundaries, traverse the position snapshot, define a monitoring range with the real-time position as the center and the detection distance of the fishing boat sonar as the radius, and estimate the number of fish within the monitoring range using the echo signal of the fishing boat sonar; A obtaining module is used to mark the monitoring range into the plan view, define the area in the plan view other than the monitoring range as a blind area, divide the blind area to obtain a plurality of sub-areas, find out the monitoring range closest to each of the sub-areas, determine it as a target range, calculate the average fish quantity per unit area in the target range, and estimate the number of fish in each sub-area, superimpose the number of fish in all monitoring ranges and sub-areas, and obtain the total fish quantity; The adjustment module is used to define test samples. When the real-time position of a fishing boat coincides with the preset return port position, a number of detection targets are randomly selected from all fishing boats, the proportion of test samples in the detection targets is calculated, and based on the proportion, correction parameters are calculated to adjust the total fish quantity.

9. The ecological fishery resource assessment system based on data analysis according to claim 8 is characterized in that: The configuration module includes: A collection unit, used to collect environmental data in the assessment waters, wherein the environmental data at least includes: weather, moon phase and fish migration, and configure a fishing window period; A selection unit, used to select a number of ideal evaluation dates from the fishing window period; A deleting unit, used to calculate the real-time speed of each fishing boat, and delete the fishing boats whose real-time speed is less than a threshold from the position snapshot; The inserting unit is used to insert the label generated at the test time into the position snapshot.

10. The ecological fishery resource assessment system based on data analysis according to claim 8, characterized in that: The estimation module comprises: A merging unit, used to determine whether the monitoring ranges of two adjacent fishing vessels overlap, and if so, merge the monitoring ranges; The push unit is used to record the number of occurrences of fish schools in each monitoring range, and arrange the monitoring ranges in descending order of the number of occurrences to obtain a monitoring queue, and push the monitoring queue to a preset terminal.

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