A biodiversity analysis method based on multi-source monitoring data

Abstract

The application discloses a kind of based on the biodiversity analysis method of multi-source monitoring data, it is related to ecological data processing technical field, including: receiving the monitoring record of different source types in same monitoring area, according to region number and period arrangement collection time, generate collection sequence data, and when the order of source type is opposite, generate order opposite record group;According to the species record generated by monitoring record, match collection sequence data, write first collection mark, post-collection mark or non-sequence mark;According to order opposite record group, extract the same area same species category record, when species category all has post-collection mark and corresponds to different source types, generate the record influenced by collection action and pre-collection instruction;According to pre-collection instruction, generate pre-validation record in next period, rewrite the record influenced by collection action or generate write control data, reduce the record error statistics caused by collection action, improve analysis reliability.

Description

Technical Field

[0001] This invention relates to the field of ecological data processing technology, and in particular to a method for biodiversity analysis based on multi-source monitoring data. Background Technology

[0002] Biodiversity monitoring is a crucial data foundation for ecological and environmental surveys, ecological restoration assessments, and tracking the ecological impacts of construction projects. Conventional multi-source monitoring data analysis methods typically receive data from infrared cameras, acoustic monitoring, UAV imagery, and manual transect records. Species records are then organized by monitoring area, collection time, species name, and source type. Similar records within the same area are then merged, deduplicated, and statistically analyzed to generate data on regional species composition, species frequency, and habitat use.

[0003] When multi-source monitoring records are entered into statistics, active collection actions such as manual transects and drone patrols may change the short-term activity state of animals, and species recorded from subsequent sources may be easily regarded as naturally occurring. At the same time, conventional analysis processes often rely on single records or source verification to determine the writing method, which does not make sufficient use of pre-verification and subsequent writing control, affecting the distinction between truly newly added species and records induced by collection actions. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a biodiversity analysis method based on multi-source monitoring data to solve the problems of existing technologies where data collection actions can easily lead to records being mistakenly counted as newly added species and the lack of verification control in the subsequent writing paths of similar records.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: This invention provides a method for biodiversity analysis based on multi-source monitoring data, comprising: receiving monitoring records of different source types within the same monitoring area; arranging the collection time according to the area number and data processing cycle to generate collection sequence data; and generating reverse-order record groups when the order of the same source type is reversed; generating species records based on the monitoring records; matching the collection sequence data; and writing first-collection markers, last-collection markers, or non-order markers to the species records; extracting species records of the same species category within the same area based on the reverse-order record groups; generating records affected by collection actions and pre-collection instructions when the same species category has a last-collection marker and corresponds to different source types; generating source-stable records when the same species category is recorded under both the first-collection marker and the last-collection marker; and generating pre-verification records based on the pre-collection instructions in the next data processing cycle, rewriting records affected by collection actions, or generating write control data to generate biodiversity analysis data.

[0007] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of collection sequence data includes: matching monitoring areas according to the collection location or coverage area in the monitoring records to obtain area numbers; determining the data processing cycle according to the monitoring task batches; merging monitoring records of the same source type within the same area number and the same data processing cycle to obtain the start time, end time, and coverage area of ​​the corresponding source type; arranging the collection sequence according to the start time of each source type, and when the end time of one source type is earlier than the start time of another source type, writing the first source type, the second source type, and the corresponding time range to generate collection sequence data.

[0008] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of the reverse-order record group includes: searching for the collection order data under the same area number between different data processing cycles; when the type of the first collection source in the first data processing cycle is the same as the type of the later collection source in the second data processing cycle, and the type of the later collection source in the first data processing cycle is the same as the type of the first collection source in the second data processing cycle, the first data processing cycle and the second data processing cycle are written into the same reverse-order record group.

[0009] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the step of generating species records based on monitoring records includes: extracting collection time, collection location, species name, species category, and source type from monitoring records of different source types; uniformly writing the collection time, collection location, species name, species category, and source type into the species record field; matching the region number according to the collection location, and matching the data processing cycle number according to the collection time to generate species records; the species record includes record number, region number, data processing cycle number, species category, source type, collection time, collection location, and collection order marker.

[0010] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the collection order marking includes: searching collection order data according to the region number, data processing cycle number, and source type in the species record; when the source type of the species record is consistent with the earlier collection source type in the collection order data, and the collection time of the species record is within the collection time range of the earlier collection source type, the collection order mark is written into the earlier collection mark; when the source type of the species record is consistent with the later collection source type in the collection order data, and the collection time of the species record is within the collection time range of the later collection source type, the collection order mark is written into the later collection mark; when the species record does not match the collection order data, or the collection time periods of different source types within the data processing cycle in which the species record is located overlap, or the collection time of the species record does not fall within the collection time range of the earlier collection source type and the collection time range of the later collection source type, the collection order mark is written into the non-order mark, and after writing the collection order mark, marked retention data is generated.

[0011] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of marker retention data includes: when multiple species records exist under the same region number, the same data processing cycle number, and the same species category, and the multiple species records have the same source type and the same collection order marker, the earliest collection time, collection location set, species category, source type, and collection order marker corresponding to the multiple species records are written into the marker retention data; when species records with earlier collection markers and species records with later collection markers exist simultaneously under the same region number, the same data processing cycle number, and the same species category, the earlier collection markers and the later collection markers are written into the marker retention data respectively.

[0012] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of records affected by collection actions and pre-collection instructions includes: extracting species records with the same area number and having either a pre-collection marker or a post-collection marker in different data processing cycles according to the reverse-order record groups, and grouping them according to species categories; when the same species category has a post-collection marker in both data processing cycles corresponding to the reverse-order record groups, and the two post-collection markers correspond to different source types, the species category is written into the records affected by collection actions, and pre-collection instructions are generated according to the source type with a post-collection marker in the most recent data processing cycle.

[0013] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of source stable records includes: extracting species records of the same source type within different data processing cycles under the same region number and the same species category; when the same source type has a first collection mark in one data processing cycle and a later collection mark in another data processing cycle, and both records are of the same species category, the species category, source type, corresponding data processing cycle number, species record number, and collection order mark are written into the source stable record.

[0014] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of the pre-verification record includes: reading the region number, species category, original and subsequent collection source type, and next data processing cycle number from the pre-collection instruction; arranging the original and subsequent collection source type as the first collection source type in the next data processing cycle; determining whether the species record formed by the first collection source type is recorded in the same region and the same species category, and writing the pre-verification record status into the pre-verification record.

[0015] As a preferred embodiment of the biodiversity analysis method based on multi-source monitoring data described in this invention, the generation of biodiversity analysis data includes: when the previous record status of the current verification record is that the same species category is recorded, the record affected by the collection action is rewritten as a record whose source can be confirmed in advance, and written into the regional species composition data; when the previous record status of the current verification record is that the same species category is not recorded, and species records of the same species category in the same region are formed after the active collection source completes the collection, writing control data is generated; when the previous record status of the current verification record is that the same species category is not recorded, and species records of the same species category in the same region are not formed after the active collection source completes the collection, the record affected by the collection action is retained as a record to be verified, and the previous verification is performed again when a group of records of the same species category in the same region with the reverse order is formed next time; according to the writing control data, the species records formed before collection are written into the regional species composition data, and the species records formed after collection are written into the data affected by the collection action, thereby generating biodiversity analysis data.

[0016] The beneficial effects of this invention are as follows: by using collection order marking and reverse order record groups, the correlation between species records and collection sequence is realized, reducing direct statistical misjudgments; by using records affected by collection actions and pre-collection instructions, the identification and verification of records derived from collection actions are realized; by generating write control data through pre-verification records, the write path control of subsequent species records is realized, improving the reliability of parsed data. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a biodiversity analysis method based on multi-source monitoring data.

[0019] Figure 2 A schematic diagram generated for the sequential data collection.

[0020] Figure 3 A schematic diagram of species record marking and diversion.

[0021] Figure 4 This is a schematic diagram of pre-verification and write control. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4 This is one embodiment of the present invention, which provides a method for biodiversity analysis based on multi-source monitoring data, including the following steps: S1. Receive monitoring records from different sources within the same monitoring area, arrange the collection time according to the area number and data processing cycle, generate collection sequence data, and generate a reversed sequence record group when the order of the same source types is reversed.

[0026] Furthermore, the boundary data of the monitoring area is imported into the ecological monitoring data processing platform, the monitoring area is divided according to the ecological survey task, multiple area ranges are formed, and an area number is written for each area range.

[0027] The area includes wetland areas, forest areas, grassland areas, beach areas, and ecological restoration areas.

[0028] Furthermore, it receives records from infrared cameras, acoustic monitoring, drone images, and manual transects.

[0029] The infrared camera records include the infrared camera number, the infrared camera installation location, the effective monitoring time period of the infrared camera, and the infrared camera coverage area.

[0030] The acoustic monitoring records include the acoustic monitoring equipment number, the installation location of the acoustic monitoring equipment, the effective acoustic monitoring period, and the acoustic coverage area.

[0031] The drone imagery records include the drone mission number, flight start time, flight end time, and flight coverage area.

[0032] The manual transect record includes the transect number, survey start time, survey end time, and transect coverage area.

[0033] Furthermore, the source types of infrared camera recordings and acoustic monitoring recordings are written into the passive monitoring source.

[0034] The source type of UAV imagery and manual transect recordings is written into the active acquisition source.

[0035] Among them, passive monitoring sources refer to the types of sources that can form monitoring records without entering the target habitat, while active collection sources refer to the types of sources that may cause species in the target habitat to change their activity status for a short period of time during the collection process.

[0036] Furthermore, based on the installation location, flight coverage area, and transect coverage area in the monitoring records, the area range is matched to obtain the area number; and a data processing cycle number is generated based on the monitoring task batch.

[0037] The data processing cycle is the period from the start time to the end time of a multi-source joint monitoring task within the same monitoring area.

[0038] Furthermore, monitoring records under the same area number and the same data processing cycle number are merged according to their source type.

[0039] When multiple monitoring records of the same source type exist within the same data processing cycle, the earliest collection start time is taken as the source type start time, and the latest collection end time is taken as the source type end time. The coverage areas of the same source type are merged into the source type coverage area.

[0040] Furthermore, after merging the source types, the source types are arranged from earliest to latest according to their start time.

[0041] It should be noted that when there are more than three source types under the same area number and the same data processing cycle number, a source type time series is formed according to the start time of the source type, and the collection order data is generated by two adjacent source types whose collection time periods do not overlap. Two adjacent source types whose collection time periods overlap do not generate collection order data, but are retained as the source basis for non-order records.

[0042] When the end time of the first source type is earlier than the start time of the second source type, the first source type is written into the first-collected source type, the second source type is written into the second-collected source type, and the area number, data processing cycle number, first-collected source type, second-collected source type, first-collected end time, second-collected start time, first-collected coverage area, and second-collected coverage area are written into the collection order data.

[0043] It should be noted that the first collection end time and the second collection start time are used to determine whether there is a sequential collection relationship between the two source types; the collection order data also includes the first collection start time and the second collection end time. The first collection start time to the first collection end time forms the collection time range of the first source type, and the second collection start time to the second collection end time forms the collection time range of the second source type.

[0044] When the collection time periods of two source types overlap, the source type collected first and the source type collected later are not generated, and the monitoring records of the two source types are retained as the source basis for non-order records.

[0045] Furthermore, the data collection sequence under the same area number is searched across different data processing cycles.

[0046] When the first data source type in the first data processing cycle is the same as the later data source type in the second data processing cycle, and the later data source type in the first data processing cycle is the same as the first data source type in the second data processing cycle, the first data processing cycle and the second data processing cycle are written into the same record group in reverse order.

[0047] The reverse order record group includes the region number, the first data processing cycle number, the second data processing cycle number, the first data processing cycle's first acquisition source type, the second data processing cycle's last acquisition source type, the second data processing cycle's first acquisition source type, the second data processing cycle's last acquisition source type, the acquisition order data number of the first data processing cycle, and the acquisition order data number of the second data processing cycle.

[0048] For example, in a wetland area, the manual transect record is located before the infrared camera record in the first data processing cycle, and the infrared camera record is located before the manual transect record in the second data processing cycle. The first data processing cycle and the second data processing cycle are written into the same record group in reverse order.

[0049] S2. Generate species records based on monitoring records, match the collection order data, and write first collection markers, last collection markers, or non-order markers for the species records.

[0050] Furthermore, the infrared camera number, shooting time, shooting location, image identification species name, image identification species category, and infrared camera coverage area are extracted from infrared camera records; the acoustic monitoring equipment number, recording time, acoustic equipment location, voiceprint identification species name, voiceprint identification species category, and acoustic coverage area are extracted from acoustic monitoring records; the drone mission number, image acquisition time, image acquisition location, image identification species name, image identification species category, and flight coverage area are extracted from drone image records; and the transect number, survey time, survey location, manually recorded species name, manually recorded species category, and transect coverage area are extracted from manual transect records.

[0051] It should be noted that the species name, species category, species name, species category, and species category identified by image recognition are all identification fields that have already been written into the monitoring records by each monitoring source. These identification fields are directly received and used as input for generating species records. No species identification training is performed again on the infrared images, acoustic segments, or UAV images. When the species name is not written in the infrared camera records, acoustic monitoring records, and UAV image records but the species category has been written, the species record is generated based on the species category. When neither the species name nor the species category is written, no species record is generated and the record is retained as an unidentified monitoring record.

[0052] The shooting time recorded by the infrared camera, the recording time recorded by the acoustic monitoring, the image acquisition time recorded by the UAV, and the survey time recorded by the manual transect should all be written into the acquisition time field; the shooting location recorded by the infrared camera, the location of the acoustic equipment recorded by the acoustic monitoring, the image acquisition location recorded by the UAV, and the survey location recorded by the manual transect should all be written into the acquisition location field; the species name for image recognition, the species name for voiceprint recognition, the species name for image recognition, and the species name for manual recording should all be written into the species name field; and the species category for image recognition, the species category for voiceprint recognition, the species category for image recognition, and the species category for manual recording should all be written into the species category field.

[0053] Specifically, the source type for infrared camera recordings is written as "Infrared Camera Source," the source type for acoustic monitoring recordings is written as "Acoustic Monitoring Source," the source type for UAV imagery recordings is written as "UAV Imagery Source," and the source type for manual transect recordings is written as "Manual Transect Source." Infrared camera sources and acoustic monitoring sources are passive monitoring sources, while UAV imagery sources and manual transect sources are active acquisition sources.

[0054] The area range within the monitoring area is matched based on the collection location to obtain the area number; the start and end times of the data processing cycle are matched based on the collection time to obtain the data processing cycle number.

[0055] After matching the region number with the data processing cycle number, species records are generated.

[0056] The species record includes the record number, region number, data processing cycle number, species name, species category, source type, collection time, collection location, and collection sequence marker.

[0057] Furthermore, the collection sequence data is located based on the region number, data processing cycle number, and source type in the species record.

[0058] The data collection sequence includes the first source type collected, the last source type collected, the time range of the first source type collected, and the time range of the last source type collected.

[0059] When the source type of a species record is consistent with the earlier source type in the collection sequence data, and the collection time of the species record is within the collection time range of the earlier source type, the collection order mark of the species record is written into the earlier collection mark.

[0060] When the source type of a species record is consistent with the subsequent source type in the collection sequence data, and the collection time of the species record is within the collection time range of the subsequent source type, the collection order marker of the species record is written into the subsequent collection marker.

[0061] When a species record does not match the collection order data, or when the collection time periods of different source types within the data processing cycle of the species record overlap, or when the collection time of the species record does not fall within the collection time range of the earlier and later source types, the collection order marker of the species record is written to the non-order marker, and the species record is written to the ordinary species record.

[0062] Among them, the "first-collected" marker indicates that the species record comes from the source type that was collected first within the data processing cycle; the "last-collected" marker indicates that the species record comes from the source type that was collected later within the data processing cycle; and the "non-order" marker indicates that the species record cannot participate in the analysis of the collection order.

[0063] Furthermore, when multiple species records exist under the same region number, the same data processing cycle number, and the same species category, and these multiple species records have the same source type and the same collection order marker, the species records are merged according to the species name, source type, collection time, and collection location.

[0064] The merged species record retains the earliest collection time and the set of collection locations within the coverage area, and retains species category, source type, and collection order markers.

[0065] When there are species records marked earlier and species records marked later under the same region number, the same data processing cycle number, and the same species category, the two types of species records will not be merged for the time being. The earlier and later collection marks will be retained so that the same species category can be determined later based on the record groups in reverse order.

[0066] Furthermore, after writing the acquisition sequence marker, marker retention data is generated.

[0067] When multiple species records exist under the same region number, the same data processing cycle number, and the same species category, and these multiple species records have the same source type and the same collection order marker, the earliest collection time, collection location set, species category, source type, and collection order marker of the multiple species records will be written into the marker retention data.

[0068] When there are species records that were collected and marked earlier and species records that were collected and marked later under the same region number, the same data processing cycle number, and the same species category, the species records that were collected and marked earlier, the species records that were collected and marked earlier, and the species records that were collected and marked later are written into the marker retention data.

[0069] S3. Extract species records of the same species category in the same area based on the reverse order of the record groups. When all species of the same category have a post-collection marker and correspond to different source types, generate records affected by the collection action and pre-collection instructions. When the same species category is recorded under both the pre-collection marker and the post-collection marker for the same source type, generate source-stable records.

[0070] Furthermore, the region number, the first data processing cycle number, the second data processing cycle number, the first acquisition source type of the first data processing cycle, the last acquisition source type of the first data processing cycle, the first acquisition source type of the second data processing cycle, and the last acquisition source type of the second data processing cycle are read from the record group in reverse order.

[0071] Based on the region number, the first data processing cycle number, and the second data processing cycle number, species records with the earlier collection marker and species records with the later collection marker are extracted, and the extracted species records are grouped according to species category.

[0072] Each species category group includes species records from the first data processing period and species records from the second data processing period.

[0073] Within the same species category group, first extract species records with post-collection tags from the first data processing period, then extract species records with post-collection tags from the second data processing period, and compare the source types of the post-collection tags in the two data processing periods.

[0074] When the same species category has a post-collection marker in both the first and second data processing cycles, and the two post-collection markers belong to different source types, the species record of the same species category is written into the record affected by the collection action, but not into the record of the actual newly added species, and a pre-collection instruction is generated.

[0075] The records affected by the collection action include the region number, species category, first data processing cycle number, second data processing cycle number, post-collection source type of the first data processing cycle, post-collection source type of the second data processing cycle, post-collection marker species record number of the first data processing cycle, and post-collection marker species record number of the second data processing cycle.

[0076] The pre-collection instructions include the region number, species category, record number affected by the collection action, active collection source type, active collection end time, active collection coverage area, original and subsequent collection source type, and next data processing cycle number.

[0077] The original data collection source type is the source type with the subsequent collection mark in the most recent data processing cycle of the record group in reverse order; the next data processing cycle number is generated according to the next multi-source joint monitoring task in the same area.

[0078] It should be noted that when the source type of the original and subsequent acquisition is an infrared camera source or an acoustic monitoring source, the pre-acquisition command causes the original and subsequent acquisition source type to complete acquisition earlier than the active acquisition source in the next data processing cycle; when the source type of the original and subsequent acquisition is a manual transect source or a UAV image source, the pre-acquisition command causes the original and subsequent acquisition source type to execute earlier than other active acquisition sources in the same area, and completes the reception of monitoring records from the infrared camera source and the acoustic monitoring source before the original and subsequent acquisition source type begins acquisition.

[0079] For example, in the first data processing cycle, the manual transect source is in the first acquisition source type, and the infrared camera source is in the later acquisition source type, with small mammals recorded by the infrared camera source; in the second data processing cycle, the infrared camera source is in the first acquisition source type, and the manual transect source is in the later acquisition source type, with small mammals of the same type recorded by the manual transect source; small mammals of the same type are written into the record affected by the acquisition action, and a pre-acquisition instruction is generated to adjust the manual transect source to be executed earlier than other active acquisition sources in the next data processing cycle.

[0080] Within the same species category group, extract species records of the same source type from the first and second data processing cycles, and compare the collection order markers of species records of the same source type in the two data processing cycles.

[0081] When all species of the same category are recorded by the same source type, and the same source type has a first-collection marker in the first data processing period and a later-collection marker in the second data processing period, or the same source type has a later-collection marker in the first data processing period and a first-collection marker in the second data processing period, the species records of the same species category shall be written into the source stability record.

[0082] Among them, the source stability record includes the region code, species category, source type, first data processing cycle number, second data processing cycle number, species record number of the first data processing cycle, species record number of the second data processing cycle, and collection order marker in the two data processing cycles.

[0083] When the same species category appears only once in a data processing cycle in a record group with reverse order, and the species record has a post-collection tag, the species record is written into the record to be verified.

[0084] The records to be verified include the region number, species category, source type, data processing cycle number, species record number, and collection order marker; the records to be verified are retained in the same region and extracted again after a new set of records in reverse order is formed.

[0085] When the same species category has both early and late collection tags within the same data processing cycle, records of the same species are merged into a single regional species record.

[0086] The regional species record includes the region number, data processing cycle number, species category, first-collected marker species record number, second-collected marker species record number, and merge count marker; the merge count marker is written into the count once.

[0087] Furthermore, when generating records affected by collection actions, the species records in the records affected by collection actions are stopped from being written into the actual newly added species records; when generating source-stable records, source-stable records are retained as input for subsequent regional species composition data; when generating records to be verified, records to be verified are not written into the actual newly added species records; when generating regional species records, regional species records are retained as input for subsequent regional species composition data.

[0088] S4. In the next data processing cycle, generate a pre-verification record based on the pre-collection instruction, rewrite the record affected by the collection action or generate write control data, and generate biodiversity analysis data.

[0089] Furthermore, the system reads the region number, species category, original and subsequent collection source type, and next data processing cycle number from the pre-collection instruction, and generates the next multi-source joint monitoring task based on the next data processing cycle number.

[0090] In the next multi-source joint monitoring mission, the original subsequent source type will be written into the first source type, and the active source type will be arranged after the original subsequent source type has completed its collection.

[0091] Among them, active data sources include manual transect data and UAV imagery, while passive monitoring sources include infrared camera data and acoustic monitoring data.

[0092] When the source of the subsequent collection is an infrared camera, the species record formed by the infrared camera should be received before the collection from the artificial transect or UAV image source begins.

[0093] When the source type of the original data collection is acoustic monitoring, the species records formed by the acoustic monitoring source will be received before the data collection from the artificial transect source or the UAV image source begins.

[0094] When the source of the subsequent data collection is a man-made transect or a drone image, the man-made transect or drone image will be scheduled for the earliest collection period in the next data processing cycle, and the writing of species records formed by other actively collected sources in the same area will be stopped before the collection begins.

[0095] Pre-verification records are generated based on the species records formed in the next data processing cycle according to the original and subsequent collection source types.

[0096] The pre-verification record includes the region number, species category, pre-source type, pre-collection time, next data processing cycle number, and pre-record status.

[0097] Among them, the prior record status includes being recorded in the same species category and not being recorded in the same species category.

[0098] When the prior source type forms species records of the same region and species category in the prior collection stage, the prior record status of the prior verification record is written to the same species category; when the prior source type does not form species records of the same region and species category in the prior collection stage, the prior record status of the prior verification record is written to the species category not recorded.

[0099] When the previous record status of the current verification record is recorded in the same species category, the record affected by the collection action will be rewritten as a record whose source can be confirmed in advance.

[0100] Among them, the source that can be confirmed in advance includes the region code, species category, original and subsequent collection source type, prior source type, prior collection time, record number affected by collection actions, and prior verification record number.

[0101] Records with pre-confirmed sources will be written into the regional species composition data, and subsequent species records of the same species category in the same region formed by the prior source type will be allowed to enter the regional species composition data.

[0102] If the previous record status of the current verification record is that no species of the same category has been recorded, and species records of the same region and species of the same category are formed after the active collection source is completed, the record affected by the collection action will not be written into the actual newly added species record, and write control data will be generated.

[0103] The control data to be written includes the region number, species category, active collection source type, control source type, and record writing method. The control source type is the active collection source type that triggers the subsequent collection of species records in the records affected by the collection action. The record writing method includes pre-collection writing and post-collection isolation. Pre-collection writing means that when species records of the same species category in the same region occur before the active collection source begins collection, the regional species composition data is written. Post-collection isolation means that when species records of the same species category in the same region occur after the active collection source completes collection, the data affected by the collection action is written, and no actual newly added species records are written.

[0104] It should be noted that the source type is determined by the data processing cycle number, region number, and post-collection marker species record number in the record affected by the collection action. Specifically, the collection sequence data within the data processing cycle of the post-collection marker species record is read, and the source types that have a collection end time earlier than the collection time of the post-collection marker species record, belong to artificial transect source or UAV image source, and whose coverage area overlaps with the collection location of the post-collection marker species record are written into the source type control.

[0105] If the previous record status of the current verification record is that no species category has been recorded, and no species record of the same region and species category has been formed after the active collection source is completed, the record affected by the collection action will continue to be retained as a record to be verified, and the previous verification will be carried out again when a group of records of the same region and species category in reverse order is formed next time.

[0106] Furthermore, subsequent species records are processed based on the write control data.

[0107] When the region number and species category of a subsequent species record are consistent with the region number and species category written into the control data, and the collection time of the subsequent species record is earlier than the collection start time of the active collection source type, the subsequent species record will be written into the regional species composition data.

[0108] When the region number and species category of a subsequent species record are consistent with the region number and species category written into the control data, and the collection time of the subsequent species record is later than the collection end time of the active collection source type, the subsequent species record will be written into the data affected by the collection action, and will not be written into the actual newly added species record.

[0109] Furthermore, duplicate count exclusion data is generated based on the merge count markers in the regional species records; when the merge count marker in the regional species records is a single count, the record number of the first and second collected marker species in the regional species records is written into the duplicate count exclusion data.

[0110] Furthermore, by reading source-stable records, source-confirmable records, regional species records, common species records, data affected by collection actions, records to be verified, and write control data, biodiversity analysis data is generated.

[0111] The biodiversity analysis data includes regional species composition data, source-stable species data, source-confirmable records, data affected by collection activities, records to be verified, and duplicate count exclusion data. Regional species composition data includes source-stable records, source-confirmable records, regional species records, and common species records. Data affected by collection activities and records to be verified are output separately and are not included in the actual newly added species records.

[0112] In summary, this invention establishes a correlation between species records and the order of collection by using collection sequence markers and reverse-order record groups, thereby reducing direct statistical errors. It also enables the identification and verification of records derived from collection actions through records affected by collection actions and pre-collection instructions. Furthermore, it generates write control data from pre-verification records, thereby controlling the write path of subsequent species records and improving the reliability of the parsed data.

[0113] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for biodiversity analysis based on multi-source monitoring data, characterized in that, include: Receive monitoring records from different sources within the same monitoring area, arrange the collection time according to the area number and data processing cycle, generate collection sequence data, and generate a group of records with reversed order when the order of the same source type is reversed. Generate species records based on monitoring records, match the collection sequence data, and write first collection markers, last collection markers, or non-order markers for the species records; Extract species records of the same species category in the same area from the reverse order record group. When the same species category has a post-collection mark and corresponds to different source types, generate records affected by the collection action and pre-collection instructions. When the same source type records the same species category under both the pre-collection mark and the post-collection mark, generate source-stable records. In the next data processing cycle, generate a pre-verification record based on the pre-collection instructions, rewrite the record affected by the collection action or generate write control data, and generate biodiversity analysis data. The generation of data collection sequence includes: matching the monitoring area based on the collection location or coverage area in the monitoring record, and obtaining the area number; The data processing cycle is determined based on the batch of monitoring tasks. Monitoring records of the same source type within the same area number and the same data processing cycle are merged to obtain the start time, end time and coverage area of ​​the corresponding source type. The collection order is arranged according to the start time of each source type. When the end time of one source type is earlier than the start time of another source type, the first source type, the last source type, and the corresponding time range are written to generate the collection order data. The generation of the reverse order record group includes: searching for the collection sequence data under the same area number between different data processing cycles; When the first data source type in the first data processing cycle is the same as the later data source type in the second data processing cycle, and the later data source type in the first data processing cycle is the same as the first data source type in the second data processing cycle, the first data processing cycle and the second data processing cycle are written into the same record group in reverse order.

2. The biodiversity analysis method based on multi-source monitoring data as described in claim 1, characterized in that, The generation of species records based on monitoring records includes: The collection time, collection location, species name, species category, and source type were extracted from monitoring records of different source types. Collect the time, location, species name, species category, and source type into the species record field. Species records are generated by matching the region number with the collection location and the data processing cycle number with the collection time. The species record includes a record number, region number, data processing cycle number, species category, source type, collection time, collection location, and collection order marker.

3. The biodiversity analysis method based on multi-source monitoring data as described in claim 2, characterized in that, The collection order marker includes: Search for the collection sequence data based on the region number, data processing cycle number, and source type in the species record; When the source type of the species record is consistent with the earlier source type in the collection sequence data, and the collection time of the species record is within the collection time range of the earlier source type, the collection order mark is written into the earlier collection mark. When the source type of the species record is consistent with the later source type in the collection sequence data, and the collection time of the species record is within the collection time range of the later source type, the collection sequence marker is written into the later collection marker. When a species record does not match the collection order data, or when the collection time periods of different source types within the data processing cycle of the species record overlap, or when the collection time of the species record does not fall within the collection time range of the first and second source types, the collection order marker is written into the non-order marker. After writing the collection order marker, the marker retention data is generated.

4. The biodiversity analysis method based on multi-source monitoring data as described in claim 3, characterized in that, The generated tag retention data includes: When multiple species records exist under the same region number, the same data processing cycle number, and the same species category, and these multiple species records have the same source type and the same collection order mark, the earliest collection time, collection location set, species category, source type, and collection order mark corresponding to the multiple species records will be written into the mark retention data. When there are species records with earlier and later collection tags under the same region number, the same data processing cycle number, and the same species category, the earlier and later collection tags will be written into the tag retention data respectively.

5. The biodiversity analysis method based on multi-source monitoring data as described in claim 1 or 4, characterized in that, The generation of records affected by the acquisition action and the pre-acquisition instructions include: Extract species records with earlier or later collection tags within the same region number and different data processing periods based on the reverse order of the record groups, and group them according to species category; When the same species category has a post-collection marker in both data processing cycles corresponding to the opposite record groups, and the two post-collection markers correspond to different source types, the species category is written into the record affected by the collection action, and a pre-collection instruction is generated based on the source type with a post-collection marker in the most recent data processing cycle.

6. The biodiversity analysis method based on multi-source monitoring data as described in claim 3, characterized in that, The stable records generated from the source include: Extract species records of the same source type from different data processing cycles under the same region number and the same species category; When the same source type has a first-collection marker in one data processing cycle and a later-collection marker in another data processing cycle, and both record the same species category, the species category, source type, corresponding data processing cycle number, species record number, and collection order marker are written into the source stability record.

7. The biodiversity analysis method based on multi-source monitoring data as described in claim 1, characterized in that, The generation of the pre-verification record includes: Read the region number, species category, original and subsequent collection source type, and next data processing cycle number from the pre-collection instruction; In the next data processing cycle, the source type that was originally collected later will be reassigned to the source type that was collected earlier. Based on the species records formed by the first collection source type, determine whether the same species category in the same region is recorded, and write the previous record status into the previous verification record.

8. The biodiversity analysis method based on multi-source monitoring data as described in claim 7, characterized in that, The generated biodiversity analysis data includes: When the previous record status of the current verification record is recorded in the same species category, the record affected by the collection action will be rewritten as a record whose source can be confirmed in advance, and written into the regional species composition data; When the previous record status of the current verification record is that no species of the same category has been recorded, and species records of the same species category in the same area are formed after the active collection source completes the collection, write control data is generated; If the previous record status of the current verification record is that no species category has been recorded, and no species record of the same species category in the same area has been formed after the active collection source is completed, the record affected by the collection action will continue to be retained as a record to be verified, and the previous verification will be carried out again when a group of records of the same species category in the same area with the reverse order is formed next time. Based on the write control data, species records formed before collection are written into the regional species composition data, and species records formed after collection are written into the data affected by collection actions, generating biodiversity analysis data.

Images