A filtering management method, system and storage medium of a field data set

Abstract

The application discloses a kind of screening management method, system and storage medium of field data set, by the multiple connection identification setting judgment selection rule and judgment priority of multiple field data set obtained in it, according to the priority level to carry out screening sorting processing to the connection identification between two data sets, to obtain the field parameter value meeting the requirement as screening value entry record field screening library, finally and other supplementary record field together form the combination field data set satisfying own demand, to obtain the data set with required field content efficiently and quickly.

Description

Technical Field

[0001] This invention relates to the field of information technology, and in particular to a method, system, and storage medium for filtering and managing field datasets. Background Technology

[0002] With the increasing automation of factories, various automated production management systems have been integrated into all aspects of enterprise processes, including material management, production processes, and transportation. This results in the storage of numerous data records within these systems, providing data support for subsequent process traceability, status monitoring, and data analysis. Within these records, each process or workflow often forms numerous interconnected datasets. These datasets contain the parameter values ​​of various fields that need to be monitored and saved during the operation of that process. Currently, data analysts can extract and recombine specific data fields from these datasets to obtain desired datasets that represent specific data changes. However, this extraction and recombination process is labor-intensive and easily overlooks the relationships between data points, leading to data inaccuracies in the final combined dataset. Summary of the Invention

[0003] This invention addresses the shortcomings of existing technologies by providing a method for filtering and managing field datasets, comprising the following steps:

[0004] S1, Obtain a dataset of multiple fields of the target object to be analyzed. The dataset contains multiple record fields arranged vertically, and each record field in the dataset is associated with corresponding feature data in the target object database.

[0005] S2, identify multiple connection identifiers between field datasets, obtain the attached attribute information of the connection identifiers and the record fields in the two data sets located at both ends of the connection identifiers, the attached attribute information including the selection rules and the priority level;

[0006] S3, filter and sort the connection identifiers between the two data sets according to the priority level, compare and select the parameter values ​​of the record fields at both ends of the connection identifier according to the judgment and selection rules, and save the field parameter values ​​that meet the requirements as the filter values ​​and enter them into the record field filter library.

[0007] S4. Select the supplementary record fields in the two field datasets at both ends of the connection identifier, obtain the corresponding parameter values ​​of the supplementary record fields with the corresponding filter values, and add them to the record field filter library to form a combined field dataset.

[0008] Preferably, step S2 may include: identifying multiple connection identifiers between two field datasets, wherein the connection identifiers are lines connecting the record fields of the two field datasets to their respective ends; obtaining the attached attribute information of each connection, and identifying the record fields in the two datasets located at the ends of the connection based on the position of the connection, wherein the attached attribute information includes selection rules and priority levels.

[0009] Preferably, step S3 specifically includes:

[0010] S31, obtain the priority level in the attribute information of each connection, filter the record fields at both ends of the connection with the same priority level according to the judgment selection rules, and enter the record field parameter values ​​of the corresponding judgment selection rules for multiple connections that simultaneously meet the same priority level into the record field filtering library.

[0011] S32, for connections with different priority levels, the connection is filtered and sorted according to the priority level. The record field parameter values ​​at both ends of each connection are compared and selected according to the judgment and selection rules. The field parameter values ​​that meet the requirements are added to the record field filtering library as the filtering values.

[0012] Preferably, step S32 further includes: for connections with different priority levels, if one end of multiple connections is connected to the same record field in the same field dataset, then the record field parameter values ​​that simultaneously meet the judgment and selection rules corresponding to the multiple connections are entered into the record field filtering library.

[0013] Preferably, the selection rule is configured to compare the parameter values ​​of each record field in the field dataset at both ends of the connection, including but not limited to the following: the parameter values ​​of the two record fields are equal, the parameter value of the record field at one end is greater than the parameter value of the record field at the other end, or the parameter value of the record field at one end is less than the parameter value of the record field at the other end.

[0014] Preferably, step S3 further includes: if the attached attribute information of a connection identifier does not have a priority level, then assign it the highest priority level to participate in the screening and sorting process of each connection identifier, and compare and select the parameter values ​​of the record fields at both ends of the connection identifier according to the judgment and selection rules of each connection identifier in sequence, and save the field parameter values ​​that meet the requirements as the screening values ​​and enter them into the record field screening library.

[0015] This invention also discloses a field dataset filtering and management system, comprising: a dataset acquisition module, used to acquire multiple field datasets of a target object to be analyzed, wherein the field datasets contain multiple record fields arranged vertically, and each record field in the field dataset is associated with corresponding feature data in the target object database; an identification module, used to identify multiple connection identifiers between field datasets, acquire attached attribute information of the connection identifiers and record fields in the two data sets located at both ends of the connection identifiers, wherein the attached attribute information includes judgment selection rules and judgment priority levels; a filtering processing module, used to perform filtering and sorting processing on the connection identifiers between the two data sets according to the priority level, sequentially compare and select the parameter values ​​of the record fields at both ends of the connection identifiers according to the judgment selection rules, and save the field parameter values ​​that meet the requirements as filtering values ​​and enter them into the record field filtering library; and a combination generation module, used to select supplementary record fields in the two field datasets at both ends of the connection identifiers, acquire the corresponding parameter values ​​of the supplementary record fields corresponding to the filtering values ​​and add them to the record field filtering library to form a combined field dataset.

[0016] Preferably, the identification module includes: a connection identifier identification module, used to identify multiple connection identifiers between two field datasets, wherein the connection identifiers are lines connecting the record fields of the two field datasets to their respective ends; and an attribute information acquisition module, used to acquire the attached attribute information of each connection and identify the record fields in the two data sets located at the two ends of the connection according to the position of the connection, wherein the attached attribute information includes a selection rule and a priority level.

[0017] The present invention also discloses a field dataset filtering and management device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the methods described above.

[0018] The present invention also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of any of the methods described above.

[0019] This embodiment discloses a method, system, and storage medium for filtering and managing field datasets. By setting selection rules and priority levels for multiple connection identifiers in multiple acquired field datasets, and filtering and sorting the connection identifiers between two datasets according to the priority levels, qualified field parameter values ​​are obtained and entered into a record field filtering library. Finally, these values, along with other supplementary record fields, form a combined field dataset that meets specific needs. This allows for the extraction and selection of field data within each dataset by sequentially applying multiple field selection rules, ultimately achieving efficient and rapid acquisition of the desired dataset to present specific data changes.

[0020] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0021] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0022] Figure 1 This is a flowchart illustrating the field dataset filtering and management method disclosed in this embodiment.

[0023] Figure 2 This is a schematic diagram of a two-field dataset containing multiple connection identifiers disclosed in this embodiment.

[0024] Figure 3 This is a schematic diagram of the specific process of step S3 disclosed in this embodiment. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] Unless otherwise defined, the technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains. The terms “first,” “second,” and similar terms used in the specification and claims of this patent application do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms “an” or “a” and similar terms do not indicate a limitation of quantity, but rather indicate the presence of at least one.

[0027] As attached Figure 1 As shown in the figure, this embodiment discloses a method for filtering and managing field datasets. This method is used to re-filter and combine different field datasets generated in a production management system, which contain record fields representing production characteristics to be recorded in each production process, to form a new field dataset containing the required record fields. Specifically, this method may include the following:

[0028] Step S1: Obtain a dataset of multiple fields of the target object to be analyzed. The dataset contains multiple record fields arranged vertically, and each record field in the dataset is associated with corresponding feature data in the target object database.

[0029] The production management system stores most of the data generated at each stage of the production process for users to easily select. Users can choose data sets based on their needs, or they can create their own datasets. (See attached image) Figure 2 One dataset contains deviation record data, including fields such as deviation identifier, programming code, deviation status, product code, product name, and product specifications. The other dataset contains batch deviation data, including fields such as deviation identifier, product batch number, work order number, and product name. In this embodiment, the datasets contain multiple fields arranged vertically to reflect the characteristics of each production process. Each feature field in the dataset is associated with corresponding feature data in the target object database.

[0030] Step S2: Identify multiple connection identifiers between field datasets, obtain the attached attribute information of the connection identifiers and the record fields in the two data sets located at both ends of the connection identifiers. The attached attribute information includes the selection rules and the priority level.

[0031] In this embodiment, the server first identifies multiple connection identifiers between two field datasets, where each connection identifier is a line connecting the two ends to the record fields of the two datasets. It then obtains the associated attribute information for each connection and identifies the record fields within the two datasets at the ends of the connection based on the connection position. The associated attribute information includes selection rules and priority levels. Specifically, the connection identifiers are lines, each connecting the target fields of the two datasets and assigning them associated attribute information. The server also configures the combination relationship between these two associated datasets, where the associated attribute information includes selection rules and priority levels. The selection rules are a comparison and filtering logic based on the parameter values ​​of the record fields at both ends of the connection. The combination relationship is the field filtering rule to be output after combining the two connected datasets.

[0032] The rules for determining the parameter values ​​of the target fields at both ends of the connection include, but are not limited to, the parameter values ​​of the two target fields being the same, the parameter value of one target field being greater than that of the other target field, and the parameter value of one target field being less than that of the other target field. The combination relationship can include all fields of the two connected datasets, be based on a field from one side of the dataset, or be based on the target field of the connection, etc.

[0033] In this embodiment, the method may further include verifying the correctness of the judgment selection rule set by the operator based on the type of the target field parameter values ​​at both ends of the connection. If the type of the target field parameter value is not suitable for the judgment selection rule, a prompt will be given, and a matching judgment selection rule will be selected from the rule database based on the type of the target field parameter value and recommended for the operator to choose from. For example, in each dataset, there are target field parameter values ​​of attribute value type, that is, fields whose field parameter value content consists of text, letters, or symbols; in addition, most target field parameter value types are variable values, that is, fields whose field parameter value content consists of numbers or mathematical symbols, etc., which can be judged by various mathematical logic. If the parameter value type is attribute value, it is often only possible to judge whether the parameter values ​​of the two target fields are the same, while when the parameter value type is variable value, it is possible to compare the size of the target field parameter values ​​at both ends of the connection, or even more complex mathematical judgment logic such as weighted calculation of parameter values ​​before comparison.

[0034] Therefore, if the target field parameter value is of attribute type, but the input judgment selection rule is a comparison of parameter values ​​or a mathematical operation of parameter values, an error message will be displayed and a suitable judgment selection rule will be recommended. For example, if the judgment selection rule is that the target field parameter value on one side is greater than or less than the target field parameter value on the other side, an error message will be displayed and a suitable judgment selection rule will be recommended, namely, whether the two parameter values ​​are the same.

[0035] Step S3: Filter and sort the connection identifiers between the two data sets according to their priority levels. Then, compare and select the parameter values ​​of the record fields at both ends of the connection identifier according to the selection rules. Save the field parameter values ​​that meet the requirements as the filter values ​​and enter them into the record field filter library.

[0036] As attached Figure 3 As shown, step S3 may further include the following:

[0037] Step S31: Obtain the priority level from the attribute information of each connection. Filter the record fields at both ends of connections with the same priority level according to the selection rules. Enter the record field parameter values ​​corresponding to the selection rules for multiple connections that simultaneously meet the same priority level into the record field filtering library.

[0038] Step S32: For connections with different priority levels, filter and sort them according to priority level, and compare and select the record field parameter values ​​at both ends of each connection according to the judgment and selection rules. Add the field parameter values ​​that meet the requirements to the record field filtering library as the filtering values.

[0039] When two connected datasets contain multiple connections, it's necessary to consider the order of comparison between these connections or the filtering conditions among the selection rules for several connections. In other words, the parameter values ​​entered into the record field filtering library must simultaneously meet the selection rules of all connections, or only one of them is required. This also depends on whether the selection rules for each connection are "AND" or "OR". If the selection rules for the connections use an "OR" relationship (select one), the priority level of the associated attribute information of each connection can be considered. Connections with higher priority are selected first, and their matching record field parameter values ​​are entered into the record field filtering library. If two connections have the same priority level, both connections' selection rules must be met before the corresponding record field parameter values ​​are entered into the record field filtering library.

[0040] In this embodiment, step S32 may further include: for connections with different priority levels, if one end of multiple connections is connected to the same record field in the same data set, then the record field parameter values ​​that simultaneously meet the selection rules corresponding to the multiple connections are entered into the record field filtering library. Specifically, if a record field in one dataset is connected to two connections, and these two connections respectively connect to two record fields in another dataset, then regardless of whether the priority levels of the attached attribute information records of these two connections are the same, they are treated as having the same priority level. That is, only the record field parameter values ​​that simultaneously meet the selection rules corresponding to the multiple connections are entered into the record field filtering library.

[0041] In this embodiment, step S3 further includes: if the attached attribute information of a connection identifier does not have a priority level, then assign it the highest priority level to participate in the filtering and sorting process of each connection identifier, and compare and select the parameter values ​​of the record fields at both ends of the connection identifier according to the judgment and selection rules of each connection identifier in sequence, and save the field parameter values ​​that meet the requirements as the filtering values ​​and enter them into the record field filtering library.

[0042] Step S4: Select the supplementary record fields in the two field datasets at both ends of the connection identifier, obtain the corresponding parameter values ​​of the supplementary record fields with the corresponding filter values, and add them to the record field filter library to form a combined field dataset.

[0043] For example, in the appendix Figure 2In the two connected datasets shown, two lines connect the deviation identifier field and the product name field in the two datasets, respectively. The selection rule is that the parameter values ​​of the two fields at both ends of the line are the same, and both lines have a priority of level one. Therefore, the parameter value groups of the fields with the same product name and deviation identifier in both datasets are selected. Then, according to the set merging rules of the two datasets, the supplementary record fields in the two field datasets at both ends of the connection identifier are selected, and the corresponding parameter values ​​of the supplementary record fields with the corresponding filter values ​​are added to the record field filter library, forming a combined field dataset.

[0044] In another specific embodiment, the additional attribute information of each connection also includes the combination relationship between the two connected datasets. This combination relationship is the filtering rule for other fields to be output after combining the connected datasets. This field filtering rule includes including all fields of the associated dataset, prioritizing fields from the first dataset at the connection end, prioritizing fields from the second dataset at the connection end, or prioritizing the target field of the connection. Specifically, if the combination relationship prioritizes fields from the first dataset at the connection end, then all record fields in the left dataset other than the target record field connected by the connection are used as supplementary record fields. The corresponding parameter values ​​of these supplementary record fields are then added to the record field filtering library to form a combined field dataset.

[0045] In another preferred embodiment, if there are multiple connections with different combination relationships in their attached attribute information, the priority level of these connections is obtained, and the combination relationship of the connection with the higher priority level is used as the combination relationship for the two connected datasets to select supplementary record fields.

[0046] If multiple connections have different combination relationships in their attached attribute information, but the priority level of their corresponding connections is the same, then the field coverage of each combination relationship is compared, and the combination relationship with the larger field coverage is used as the combination relationship for selecting supplementary record fields when connecting the two datasets. Field coverage refers to the number of supplementary record fields selected after using this combination relationship. For example, the field coverage of the combination relationship "containing all fields of the associated dataset" is greater than the field coverage of the combination relationship "primarily based on the fields of the first dataset at the connection end"; the field coverage of the combination relationship "primarily based on the fields of the first dataset at the connection end" is greater than the field coverage of the combination relationship "primarily based on the target field of the connection". This avoids the final number of filter fields and corresponding field parameter values ​​added to the record field filtering library being less than expected, which would affect the subsequent data analysis presentation.

[0047] This embodiment discloses a method for filtering and managing field datasets. It sets selection rules and priority levels for multiple connection identifiers in multiple acquired field datasets, and filters and sorts the connection identifiers between two datasets according to the priority level. This yields field parameter values ​​that meet the requirements, which are then entered into a record field filtering library. Finally, these values, along with other supplementary record fields, form a combined field dataset that meets specific needs. This method allows for the sequential use of multiple field selection rules across datasets to extract and select field data within each dataset, ultimately achieving efficient and rapid acquisition of the desired dataset to present specific data changes.

[0048] In another embodiment, a field dataset filtering and management system is disclosed, including a dataset acquisition module, an identification module, a filtering processing module, and a combination generation module. The dataset acquisition module acquires multiple field datasets of a target object to be analyzed. The field datasets contain multiple record fields arranged vertically, and each record field in the field dataset is associated with corresponding feature data in the target object database. The identification module identifies multiple connection identifiers between field datasets, acquires the attached attribute information of the connection identifiers and the record fields in the two data sets located at both ends of the connection identifiers. The attached attribute information includes selection rules and priority levels. The filtering processing module sorts the connection identifiers between the two data sets according to priority levels, sequentially compares and selects the parameter values ​​of the record fields at both ends of the connection identifiers according to the selection rules, and saves the field parameter values ​​that meet the requirements as filter values ​​into a record field filtering library. The combination generation module selects supplementary record fields in the two field datasets at both ends of the connection identifiers, acquires the corresponding parameter values ​​of the supplementary record fields corresponding to the filter values, and adds them to the record field filtering library to form a combined field dataset.

[0049] In this embodiment, the identification module includes a connection identifier identification module and an attribute information acquisition module. The connection identifier identification module is used to identify multiple connection identifiers between two field datasets. The connection identifiers are lines connecting the record fields of the two field datasets at their respective ends. The attribute information acquisition module is used to acquire the attached attribute information of each connection and identify the record fields in the two datasets located at the two ends of the connection based on the connection position. The attached attribute information includes selection rules and priority levels.

[0050] In this embodiment, the filtering module can be specifically configured to obtain the priority level in the attribute information of each connection, filter the record fields at both ends of the connections with the same priority level according to the judgment selection rules, and enter the record field parameter values ​​corresponding to the judgment selection rules for multiple connections that simultaneously meet the same priority level into the record field filtering library; for connections with different priority levels, the filtering is sorted according to the priority level, and the record field parameter values ​​at both ends of each connection are compared and selected according to the judgment selection rules in sequence, and the field parameter values ​​that meet the requirements are added to the record field filtering library as the filtering values.

[0051] In this embodiment, the filtering module can be specifically configured to, for connections with different priority levels, if one end of multiple connections is connected to the same record field in the same field dataset, then the record field parameter values ​​that simultaneously meet the selection rules corresponding to the multiple connections are entered into the record field filtering library. The selection rules are configured to compare the parameter values ​​of each record field in the field datasets at both ends of the connection, including but not limited to: the parameter values ​​of the two record fields being equal, the parameter value of one record field being greater than the parameter value of the other record field, or the parameter value of one record field being less than the parameter value of the other record field.

[0052] In other embodiments, a field dataset filtering and management apparatus is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the various steps of the field dataset filtering and management method as described in the above embodiments.

[0053] The field dataset filtering and management device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the schematic diagram is merely an example of a field dataset filtering and management device and does not constitute a limitation on the field dataset filtering and management device. It may include more or fewer components than illustrated, or combine certain components, or use different components. For example, the field dataset filtering and management device may also include input / output devices, network access devices, buses, etc.

[0054] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the field dataset filtering and management device, connecting all parts of the device via various interfaces and lines.

[0055] The memory can be used to store the computer program and / or modules. The processor implements various functions of the field dataset filtering and management device by running or executing the computer program and / or modules stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function, etc. In addition, the memory may include high-speed random access memory and non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0056] If the field dataset filtering and management device is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the above embodiments of the field dataset filtering and management methods. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0057] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

[0058] In summary, the above description is only a preferred embodiment of the present invention. All equivalent changes and modifications made within the scope of the claims of the present invention should be covered by the present invention.

Claims

1. A method for filtering and managing a field dataset, characterized in that, Includes the following steps: S1, Obtain a dataset of multiple fields of the target object to be analyzed. The dataset contains multiple record fields arranged vertically, and each record field in the dataset is associated with corresponding feature data in the target object database. S2, identify multiple connection identifiers between field datasets, obtain the attached attribute information of the connection identifiers and the record fields in the two data sets located at both ends of the connection identifiers, the attached attribute information including selection rules and priority levels; specifically, identify multiple connection identifiers between two field datasets, the connection identifiers being lines connecting the record fields of the two field datasets to their respective ends; obtain the attached attribute information of each line, and identify the record fields in the two data sets located at both ends of the line according to the line position, the attached attribute information including selection rules and priority levels; S3, based on priority, the join identifiers between two datasets are filtered and sorted. Then, according to the selection rules, the parameter values ​​of the record fields at both ends of the join identifier are compared and selected. The parameter values ​​that meet the requirements are saved as filter values ​​and entered into the record field filter database. Specifically, this includes: S31, obtain the priority level in the attribute information of each connection, filter the record fields at both ends of the connection with the same priority level according to the judgment selection rules, and enter the record field parameter values ​​of the corresponding judgment selection rules for multiple connections that simultaneously meet the same priority level into the record field filtering library. S32, For connections with different priority levels, filter and sort according to priority level, and compare and select the record field parameter values ​​at both ends of each connection according to the judgment and selection rules, and add the field parameter values ​​that meet the requirements as the filter values ​​to the record field filter library. S4. Select the supplementary record fields in the two field datasets at both ends of the connection identifier, obtain the corresponding parameter values ​​of the supplementary record fields with the corresponding filter values, and add them to the record field filter library to form a combined field dataset.

2. The method for filtering and managing field datasets according to claim 1, characterized in that, Step S32 further includes: For connections with different priority levels, if one end of multiple connections is connected to the same record field in the same field dataset, then the record field parameter values ​​that simultaneously meet the selection rules corresponding to these multiple connections will be entered into the record field filtering library.

3. The method for filtering and managing field datasets according to claim 2, characterized in that: The selection rules are configured to compare the parameter values ​​of each record field in the field datasets at both ends of the connection, including but not limited to the following: the parameter values ​​of the two record fields are equal, the parameter value of the record field at one end is greater than the parameter value of the record field at the other end, or the parameter value of the record field at one end is less than the parameter value of the record field at the other end.

4. The method for filtering and managing field datasets according to claim 3, characterized in that, Step S3 further includes: If the attached attribute information of a connection identifier does not have a priority level, it is assigned the highest priority level and participates in the filtering and sorting process of each connection identifier. The parameter values ​​of the record fields at both ends of the connection identifier are compared and selected according to the judgment and selection rules of each connection identifier. The field parameter values ​​that meet the requirements are saved as the filtering values ​​and entered into the record field filtering library.

5. A filtering management system for a field dataset, characterized in that, include: The dataset acquisition module is used to acquire a dataset of multiple fields of the target object to be analyzed. The dataset contains multiple record fields arranged vertically, and each record field in the dataset is associated with corresponding feature data in the target object database. An identification module is used to identify multiple connection identifiers between field datasets, obtain the attached attribute information of the connection identifiers and the record fields in the two data sets located at both ends of the connection identifiers, wherein the attached attribute information includes selection rules and priority levels; the identification module includes: a connection identifier identification module, used to identify multiple connection identifiers between two field datasets, wherein the connection identifiers are lines connecting the record fields of the two field datasets at both ends respectively; and an attribute information acquisition module, used to obtain the attached attribute information of each connection line, and identify the record fields in the two data sets located at both ends of the connection line according to the connection line position, wherein the attached attribute information includes selection rules and priority levels; The filtering module is used to filter and sort the connection identifiers between two data sets according to priority levels. It sequentially compares and selects the parameter values ​​of the record fields at both ends of the connection identifier according to the selection rules, and saves the field parameter values ​​that meet the requirements as filter values ​​into the record field filtering library. Specifically, it obtains the priority level from the attribute information of each connection, filters the record fields at both ends of connections with the same priority level according to the selection rules, and saves the record field parameter values ​​corresponding to the selection rules for multiple connections that simultaneously meet the same priority level into the record field filtering library. For connections with different priority levels, it filters and sorts them according to priority level, sequentially compares and selects the record field parameter values ​​at both ends of each connection according to the selection rules, and adds the field parameter values ​​that meet the requirements as filter values ​​into the record field filtering library. The combined generation module is used to select supplementary record fields from the two field datasets at both ends of the connection identifier, obtain the corresponding parameter values ​​of the supplementary record fields with the corresponding filter values, and add them to the record field filter library to form a combined field dataset.

6. A filtering and management device for a field dataset, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-4.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-4.

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