CN111309373B - Method for flexibly configuring personage rights, business processes and roles - Google Patents
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Abstract
The invention provides a method for flexibly configuring personage rights, business processes and roles, which comprises the following steps: distributing a preset task to a target object; selecting sub-options associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and flow options; and configuring the selected sub-options and the target object to obtain a configuration result. By selecting the sub-option to realize the configuration with the target object, the configuration flexibility is high.
Description
Technical Field
The invention relates to the technical field of information configuration, in particular to a method for flexibly configuring character authorities, business processes and roles.
Background
At present, a programmer modifies a previously set file code and implants the modified file code into a configuration library to realize new configuration of the file, but the configuration process is professional with related program codes, and in the process of carrying out new file configuration, part of time is wasted due to the need of modifying the code, and the flexibility of the configuration is not high due to the singleness of the program code.
Disclosure of Invention
The invention provides a method for flexibly configuring character authorities, business processes and roles, which is used for realizing configuration with a target object by selecting sub-options, so that the configuration flexibility is high.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, which comprises the following steps:
distributing a preset task to a target object;
selecting sub-options associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and flow options;
and configuring the selected sub-options and the target object to obtain a configuration result.
In one possible implementation manner, the step of assigning a preset task to a target object includes:
determining a target attribute of the target object;
determining task attributes of the preset task;
according to a pre-trained attribute matching model, carrying out matching processing on the determined target attribute and task attribute, and judging whether a matching value after the matching processing is larger than a preset value or not;
if yes, distributing the preset task to the target object;
otherwise, acquiring a next target object in a pre-stored object database, and carrying out corresponding matching processing on the next target object and the task attribute until the corresponding matching value is larger than a preset value.
In one possible implementation, the step of selecting the sub-option associated with the preset task from the preset options in the preset interface includes:
displaying sub-options associated with the preset task in a preset interface for a user to select;
and receiving the sub-option selected by the user.
In one possible implementation manner, the step of selecting the sub-option associated with the preset task from the preset options in the preset interface further includes:
determining the option types of preset options in the preset interface;
determining the category of the option based on the category weight value of the preset task, and determining a final option category according to the category weight value, wherein the final option category comprises: any one or more of permission option type, role option type and flow option type;
acquiring a first weight value of each sub-option in the same category in the final option category;
first priority ordering is carried out on the first weight value of each sub-option in the same category, and first marking is carried out on the first preset number of sub-options in the first priority ordering result;
when the final option type is a first type, selecting a sub option for first marking in the first type;
when the final option category is in the second category, acquiring all sub-items carrying out first marking, and calculating second weight values of all the sub-items carrying out first marking based on the target object;
performing second priority ranking on all the calculated second weight values, and performing second marking on the preset number of sub-options in the second priority ranking result;
and when the final option category is a second category, selecting a sub option for second marking in the second category.
In one possible implementation manner, the step of configuring the selected sub-option with the target object to obtain a configuration result includes:
determining a first personality parameter of the selected sub-option;
carrying out correction processing on the first personality parameters to obtain corrected second personality parameters;
according to the second personality parameters, configuration with the target object is achieved, and a configuration result is obtained;
the process of correcting the first personality parameter includes:
determining to-be-determined parameter indexes included in the first personality parameters, determining whether a determination index value corresponding to each to-be-determined parameter index is within a corresponding preset index range, and if so, reserving the to-be-determined parameter indexes;
otherwise, carrying out first correction processing on the parameter index to be judged, determining whether a correction index value after the first correction processing is in a preset correction range, and if so, reserving the parameter index to be judged;
otherwise, determining index correlation values of the parameter indexes to be judged and the remaining parameter indexes to be judged in the sub options, and performing second correction processing on the index correlation values to obtain correction correlation values;
if the corrected correlation value is greater than or equal to a preset correlation value, reserving the parameter index to be judged;
otherwise, eliminating the parameter index to be judged;
and acquiring all the reserved parameter indexes to be judged, and forming a second personality parameter.
In one possible implementation manner, the process of constructing the attribute matching model in the matching process of the determined target attribute and the task attribute according to the pre-trained attribute matching model includes:
acquiring a target data stream of the target object, and performing first training processing on the target data stream according to a deep learning model to obtain a first learning model;
meanwhile, based on a time calibration axis, dividing the acquired target data stream into a plurality of first data stream frames, acquiring first correction values between adjacent first data stream frames, and performing second training processing on all the acquired first correction values according to the first learning model to acquire a second learning model;
acquiring a task data stream of the preset task, and performing third training processing on the task data stream according to the second learning model to acquire a third learning model;
meanwhile, based on a time calibration axis, the acquired task data stream is divided into a plurality of second data stream frames, second correction values between adjacent second data stream frames are acquired, fourth training processing is carried out on all the acquired second correction values according to the third learning model, and a fourth learning model is obtained, wherein the fourth learning model is the attribute matching model.
In one possible implementation manner, after obtaining the attribute matching model, the method further includes:
checking the obtained attribute matching model, carrying out quality evaluation on the checking result of the attribute matching model based on a pre-stored quality evaluation database, and dividing a plurality of levels of regional blocks of the attribute matching model according to the quality evaluation result;
and marking and displaying the divided quality grade area blocks by using preset colors.
In one possible implementation manner, the process of displaying sub-options associated with the preset task in the preset interface for the user to select includes:
establishing a guide library related to the preset options;
providing the user with a reservation operation according to the guide library;
establishing a guide tree according to the reserved operation result of the user;
carrying out preset modification treatment on each branch node in the guide tree to generate a final guide tree;
and the user selects the branch node based on the final guide tree displayed by a preset interface, and the branch node is a sub-option.
In one possible implementation manner, the configuring the selected sub-option with the target object, and in the process of obtaining the configuration result, further includes: determining the legitimacy of the selected sub-option, the determining step of which comprises:
recording the option types of the selected sub options based on a recording module corresponding to a preset interface, and respectively determining the number of options of the sub options contained in each option type;
performing correlation processing on M sub-options in the category of the current option according to the formula (1) to obtain an actual correlation S i ；
wherein ,Si Representing the current selectionActual relevance of the ith sub-option in the item category to the remaining sub-options; i represents an i-th sub-option of the M sub-options in the current option category; x is x i An attribute value representing an ith sub-option in the current option category; x is x j An attribute value representing a j-th sub-option in the current option category; p is p i An attribute correction value representing an i-th sub-option in the current option category; p is p j An attribute correction value representing a j-th sub-option in the current option category; w (W) M Representing the number of correlations between the current option category and the remaining option categories; alpha and beta are constants, wherein alpha has a value range of [0,1]Beta has a value of [0,1 ]]The method comprises the steps of carrying out a first treatment on the surface of the Wherein i=1, 2, 3..m; j=1, 2, 3..m, and j+.i;
the actual correlation S obtained based on the formula (1) is compared with the formula (2) i Performing verification processing and obtaining verification value Y of the ith sub-option i ；
Wherein q represents the total index number of the ith sub-option; l represents the first index of the q total indexes; delta l An index verification parameter representing the first index in the i-th sub-option;represents the average verification parameter in the ith sub-option, and +.>The value range of (1, 0); max { } represents the maximum function;
judging the verification value Y of the obtained ith sub-option i If the number of the sub-options is larger than a preset value Y, reserving the ith sub-option in the current option type, otherwise, eliminating the ith sub-option in the current option type;
meanwhile, judging that the reserved sub-options in the current option category are legal, and judging the legitimacy of the sub-options in the next option category until the legitimacy judgment of the sub-options in all option categories is finished;
and acquiring legal sub-options in all option categories to realize configuration with the target object.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a method for flexibly configuring persona rights, business processes and roles in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, which is shown in fig. 1 and comprises the following steps:
step 1: distributing a preset task to a target object;
step 2: selecting sub-options associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and flow options;
step 3: and configuring the selected sub-options and the target object to obtain a configuration result.
The preset interface is a special configuration interface, and each option, such as authority options possessed by a person and role options possessed by the person, is displayed in the configuration interface; configuring sub-flow options and the like of the business flow;
the administrator can select among the options according to different tasks, so that the authority and roles of the user can be configured, for example, the authority of the user with the role A is configured to be an administrator;
for the business processes, specific matters such as a process of one thing, and an administrator configures the business processes by selecting corresponding sub-process options; the method has the advantages that the configuration process is flexible, and an administrator can complete configuration by simple options for everyone and everything without editing and changing codes.
The target object may be a task, a business process, or the like.
The above configuration result is exemplified by the business process: the result after the sub-process is configured for the business process is: all sub-processes are displayed in the business process frame in order to give the business process a complete execution cycle or to give the business process unique characteristics.
It is also possible to assign authority and role to a person, and then assign the person to a business process to be executed, for example: virtual characters, such as game characters, which are inclusive of privileges, characters, and business processes.
For example: for example, the role options in king glory are: anqila, the right options are: the main attack is the middle way.
And the three options of the authority option, the role option and the flow option can also respectively correspond to the following embodiments:
embodiment one:
distributing a preset task to a target task;
selecting a permission option associated with a target task in a preset interface;
and configuring the selected authority options and the target object to obtain a configuration result.
Embodiment two:
distributing a preset task to a target task;
selecting a role option associated with a target task in a preset interface;
and configuring the selected role options and the target object to obtain a configuration result.
Embodiment III:
distributing preset tasks to the business processes;
selecting a process option associated with the business process in a preset interface;
and configuring the selected flow options and the business processes to obtain a configuration result.
The beneficial effects of the technical scheme are as follows: by selecting the sub-option to realize the configuration with the target object, the configuration flexibility is high.
The embodiment of the invention provides a method for flexibly configuring personage rights, business processes and roles, wherein the step of distributing preset tasks to target objects comprises the following steps:
determining a target attribute of the target object;
determining task attributes of the preset task;
according to a pre-trained attribute matching model, carrying out matching processing on the determined target attribute and task attribute, and judging whether a matching value after the matching processing is larger than a preset value or not;
if yes, distributing the preset task to the target object;
otherwise, acquiring a next target object in a pre-stored object database, and carrying out corresponding matching processing on the next target object and the task attribute until the corresponding matching value is larger than a preset value.
For the above embodiments: when the target object is a game character and the preset task is continuous output combat effort, determining that the target attribute of the game character is a virtual character with gender as female; determining the task attribute of continuously outputting the combat effort as strong output capacity;
matching and judging the virtual character of the female and the strong output capacity according to a pre-trained attribute matching model; and assigning the output capacity to the virtual character of the woman;
the matching range of the preset value is 80% or more.
The beneficial effects of the technical scheme are as follows: through attribute matching, a foundation is conveniently provided for flexible configuration, and through attribute matching, the workload of the latter flexible configuration can be reduced, and the efficiency of the flexible configuration is improved.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, wherein the step of selecting sub-options associated with a preset task from preset options in a preset interface comprises the following steps of:
displaying sub-options associated with the preset task in a preset interface for a user to select;
and receiving the sub-option selected by the user.
The user may be an administrator, and the sub-options refer to, for example, several sub-options existing in the authority options, such as: defending rights, attack rights, etc.
The beneficial effects of the technical scheme are as follows: by setting sub-options in the preset interface, the user can conveniently and independently select the sub-options in the preset interface, the independent selectivity of the user is improved, and the configuration flexibility is further improved.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, wherein the step of selecting sub-options associated with a preset task from preset options in a preset interface further comprises the following steps:
determining the option types of preset options in the preset interface;
determining the category of the option based on the category weight value of the preset task, and determining a final option category according to the category weight value, wherein the final option category comprises: any one or more of permission option type, role option type and flow option type;
acquiring a first weight value of each sub-option in the same category in the final option category;
first priority ordering is carried out on the first weight value of each sub-option in the same category, and first marking is carried out on the first preset number of sub-options in the first priority ordering result;
when the final option type is a first type, selecting a sub option for first marking in the first type;
when the final option category is in the second category, acquiring all sub-items carrying out first marking, and calculating second weight values of all the sub-items carrying out first marking based on the target object;
performing second priority ranking on all the calculated second weight values, and performing second marking on the preset number of sub-options in the second priority ranking result;
and when the final option category is a second category, selecting a sub option for second marking in the second category.
The determining the final option category according to the category weight value may be performed according to a size order of the category weight values, for example, the category weight value with the largest category weight value is selected as the final option category, where the maximum value of the selection weight value may be one category or a plurality of categories; wherein the first category is only one category of the final option categories, and the second category includes two or more categories;
setting the same number of sub-options in each category, wherein the sub-options of the first mark can be sub-options with high value, and the first mark refers to the first preset number of sub-options in all sub-items arranged according to the arrangement sequence in the same category, wherein the first preset number can be the first n number after the first priority order, and n is a positive integer;
in the second class, the value performs the calculation of the second weight on all the sub-items of the first tag, for example, in the case that the second class is 2 classes, the number of all the sub-items of the first tag is 2n, and the first n numbers in the 2n numbers after the second priority ranking are second tagged.
The beneficial effects of the technical scheme are as follows: based on the user selecting the sub-option in the preset interface, the embodiment further improves the intellectualization of the selection.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, wherein the steps of configuring the selected sub-options and the target object and obtaining the configuration result comprise the following steps:
determining a first personality parameter of the selected sub-option;
carrying out correction processing on the first personality parameters to obtain corrected second personality parameters;
according to the second personality parameters, configuration with the target object is achieved, and a configuration result is obtained;
the process of correcting the first personality parameter includes:
determining to-be-determined parameter indexes included in the first personality parameters, determining whether a determination index value corresponding to each to-be-determined parameter index is within a corresponding preset index range, and if so, reserving the to-be-determined parameter indexes;
otherwise, carrying out first correction processing on the parameter index to be judged, determining whether a correction index value after the first correction processing is in a preset correction range, and if so, reserving the parameter index to be judged;
otherwise, determining index correlation values of the parameter indexes to be judged and the remaining parameter indexes to be judged in the sub options, and performing second correction processing on the index correlation values to obtain correction correlation values;
if the corrected correlation value is greater than or equal to a preset correlation value, reserving the parameter index to be judged;
otherwise, eliminating the parameter index to be judged;
and acquiring all the reserved parameter indexes to be judged, and forming a second personality parameter.
The first personality parameter of the sub-option refers to, for example, a defending parameter in a defending authority sub-option, where the defending parameter includes a plurality of indexes, such as: physical defense indexes, magic defense indexes and the like;
the parameter index to be determined may be a physical defense index, a magic defense index, etc.;
the above-mentioned determination index value refers to, for example, a physical defense value of the physical defense index, and determines whether the physical defense value is within a preset index range, for example: the physical defense value is 12000, and the corresponding preset index range is the physical defense range such as: 10000-15000;
the first correction processing is carried out on the physical defense index finger, whether the physical defense index finger after the first correction processing is in the physical defense range is determined, and if yes, the physical defense index finger is reserved;
the first correction process is, for example, to correct the data in the physical defense index finger, which can affect the physical defense index, such as to increase the injury resistance value of the virtual character;
determining index correlation values of the physical defense indexes and the magic defense indexes in the sub-options, and performing second correction processing on the index correlation values to obtain correction correlation values;
the second correction processing is, for example, to remove related error data in the determined physical defense index and the magic defense index to obtain a corrected related value, where the index related value is a correlation between the physical defense index and the magic defense index;
the preset correlation value is generally higher than 80%;
the reserved physical defense index and the magic defense index are obtained, and a second personality parameter is formed, wherein the second personality parameter is the corrected defense parameter.
The beneficial effects of the technical scheme are as follows: the accuracy of the sub-options is improved by carrying out twice correction processing on the parameters in the sub-options, and meanwhile, the interference of irrelevant data on subsequent automatic selection sub-options is reduced by eliminating indexes lower than a preset correlation value, so that the intellectualization and the accuracy of the selection are further improved, and the efficiency and the flexibility of the selection configuration are further effectively improved.
The embodiment of the invention provides a method for flexibly configuring persona rights, office flows and roles, wherein the construction process of an attribute matching model in the matching processing of the determined target attribute and task attribute according to a pre-trained attribute matching model comprises the following steps:
acquiring a target data stream of the target object, and performing first training processing on the target data stream according to a deep learning model to obtain a first learning model;
meanwhile, based on a time calibration axis, dividing the acquired target data stream into a plurality of first data stream frames, acquiring first correction values between adjacent first data stream frames, and performing second training processing on all the acquired first correction values according to the first learning model to acquire a second learning model;
acquiring a task data stream of the preset task, and performing third training processing on the task data stream according to the second learning model to acquire a third learning model;
meanwhile, based on a time calibration axis, the acquired task data stream is divided into a plurality of second data stream frames, second correction values between adjacent second data stream frames are acquired, fourth training processing is carried out on all the acquired second correction values according to the third learning model, and a fourth learning model is obtained, wherein the fourth learning model is the attribute matching model.
The time calibration axis is a time axis for acquiring the target data stream, and determines data corresponding to the target data stream in each frame according to the time axis, wherein the frame is a data stream frame and contains data.
The training of the first correction value and the second correction value is to make up for the defect of the learning model, and further optimize the learning model.
The beneficial effects of the technical scheme are as follows: the accuracy of training model identification is improved by acquiring the first correction value between adjacent first data stream frames and the second correction value between adjacent second data stream frames, and meanwhile, training data samples are conveniently provided for training a training model by respectively acquiring the target data stream and the task data stream, so that the configuration efficiency is improved, and the configuration flexibility is further optimized.
The embodiment of the invention provides a method for flexibly configuring persona rights, office flows and roles, which comprises the following steps after an attribute matching model is obtained:
checking the obtained attribute matching model, carrying out quality evaluation on the checking result of the attribute matching model based on a pre-stored quality evaluation database, and dividing a plurality of levels of regional blocks of the attribute matching model according to the quality evaluation result;
and marking and displaying the divided quality grade area blocks by using preset colors.
The quality evaluation database is used for determining whether the quality grades of the attribute matching models are consistent after the attribute matching models are optimized, and the quality grade in each area block is determined by dividing the attribute matching models in area blocks, so that the quality of the area blocks can be effectively distinguished by marking the preset colors.
The beneficial effects of the technical scheme are as follows: the attribute matching model is checked to further determine the accuracy and recognition accuracy of the model, the quality grade existing in the model is effectively marked, and the quality of the region blocks is conveniently and effectively distinguished by marking the preset color.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, wherein the process of displaying sub-options associated with a preset task in a preset interface for a user to select comprises the following steps:
establishing a guide library related to the preset options;
providing the user with a reservation operation according to the guide library;
establishing a guide tree according to the reserved operation result of the user;
carrying out preset modification treatment on each branch node in the guide tree to generate a final guide tree;
and the user selects the branch node based on the final guide tree displayed by a preset interface, and the branch node is a sub-option.
Because the corresponding sub-options are selected on the preset interface, a guide library is built, and the purpose of building the guide library is to effectively guide a user, wherein a guide tree is built, and the guide tree is built by reserving the parts of the preset options and the like selected on the basis of the guide library;
each branch node in the guide tree performs preset modification processing to generate a final guide tree, so as to ensure that the content in each branch node is modified, and ensure the accuracy of the content, for example: parameter modification of physical attack sub-options in the permission options, and the like;
the preset modification process is to modify parameters in the physical attack sub-options;
and the user selects the branch nodes based on the final guide tree displayed by the preset interface, wherein the branch nodes are sub-options, the final guide tree comprises a plurality of branch nodes, and the branch nodes are subjected to preset correction processing.
The beneficial effects of the technical scheme are as follows: the guide library is built, the retaining operation is carried out, the guide tree is built, the accuracy of the guide tree is improved by carrying out preset modification treatment on the branch nodes in the guide tree, the accuracy of the modified guide tree is facilitated, and the user can conveniently select the branch nodes in the final guide tree based on a preset interface.
The embodiment of the invention provides a method for flexibly configuring persona rights, business processes and roles, which configures selected sub-options and the target object, and further comprises the following steps in the process of obtaining configuration results: determining the legitimacy of the selected sub-option, the determining step of which comprises:
recording the option types of the selected sub options based on a recording module corresponding to a preset interface, and respectively determining the number of options of the sub options contained in each option type;
performing correlation processing on M sub-options in the category of the current option according to the formula (1) to obtain an actual correlation S i ；
wherein ,Si Representing the actual correlation degree between the ith sub-option and the rest sub-options in the current option category; i represents an i-th sub-option of the M sub-options in the current option category; x is x i An attribute value representing an ith sub-option in the current option category; x is x j An attribute value representing a j-th sub-option in the current option category; p is p i An attribute correction value representing an i-th sub-option in the current option category; p is p j An attribute correction value representing a j-th sub-option in the current option category; w (W) M Representing the number of correlations between the current option category and the remaining option categories; alpha and beta are constants, wherein alpha has a value range of [0,1]Beta has a value of [0,1 ]]The method comprises the steps of carrying out a first treatment on the surface of the Wherein i=1, 2, 3..m; j=1, 2, 3..m, and j+.i;
the option type of the sub option can be authority option type, role option type and flow option type;
the actual correlation S obtained based on the formula (1) is compared with the formula (2) i Performing verification processing and obtaining verification value Y of the ith sub-option i ；
Wherein q represents the total index number of the ith sub-option; l represents the first index of the q total indexes; delta l An index verification parameter representing the first index in the i-th sub-option;represents the average verification parameter in the ith sub-option, and +.>The value range of (1, 0); max { } represents the maximum function;
judging the verification value Y of the obtained ith sub-option i Whether it is greater than the preset value Y or not,if yes, reserving the ith sub-option in the current option category, otherwise, eliminating the ith sub-option in the current option category;
meanwhile, judging that the reserved sub-options in the current option category are legal, and judging the legitimacy of the sub-options in the next option category until the legitimacy judgment of the sub-options in all option categories is finished;
and acquiring legal sub-options in all option categories to realize configuration with the target object.
The beneficial effects of the technical scheme are as follows: the validity of the sub options is determined to improve the configuration efficiency of the sub options and the target object, wherein the correlation between the sub options and other sub options in the same category is determined by carrying out correlation processing on the sub options, so that the reliability of the sub options is ensured when the sub options are configured, and the validity of the sub options reserved is judged by carrying out verification processing on the sub options, so that the configuration accuracy and the configuration efficiency are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (7)
1. A method for flexibly configuring persona rights, business processes and roles, comprising:
distributing a preset task to a target object;
selecting sub-options associated with a preset task from preset options in a preset interface, wherein the preset options comprise: any one or more of authority options, role options and flow options;
configuring the selected sub-options and the target object to obtain a configuration result; the method comprises the following steps:
determining a first personality parameter of the selected sub-option;
carrying out correction processing on the first personality parameters to obtain corrected second personality parameters;
according to the second personality parameters, configuration with the target object is achieved, and a configuration result is obtained;
the process of correcting the first personality parameter includes:
determining to-be-determined parameter indexes included in the first personality parameters, determining whether a determination index value corresponding to each to-be-determined parameter index is within a corresponding preset index range, and if so, reserving the to-be-determined parameter indexes;
otherwise, carrying out first correction processing on the parameter index to be judged, determining whether a correction index value after the first correction processing is in a preset correction range, and if so, reserving the parameter index to be judged;
otherwise, determining index correlation values of the parameter indexes to be judged and the remaining parameter indexes to be judged in the sub options, and performing second correction processing on the index correlation values to obtain correction correlation values;
if the corrected correlation value is greater than or equal to a preset correlation value, reserving the parameter index to be judged;
otherwise, eliminating the parameter index to be judged;
acquiring all reserved parameter indexes to be judged, and forming a second personality parameter;
configuring the selected sub-options with the target object, and further comprising: determining the legitimacy of the selected sub-option, the determining step of which comprises:
recording the option types of the selected sub options based on a recording module corresponding to a preset interface, and respectively determining the number of options of the sub options contained in each option type;
performing correlation processing on M sub-options in the category of the current option according to the formula (1) to obtain the actual correlation degree；
（1）；
wherein ,representing the actual correlation degree between the ith sub-option and the rest sub-options in the current option category; i represents an i-th sub-option of the M sub-options in the current option category; />An attribute value representing an ith sub-option in the current option category; />An attribute value representing a j-th sub-option in the current option category; />An attribute correction value representing an i-th sub-option in the current option category; />An attribute correction value representing a j-th sub-option in the current option category; />Representing the number of correlations between the current option category and the remaining option categories; />Is a constant, wherein->The value range is [0,1 ]]，/>The value range of (2) is [0,1 ]]The method comprises the steps of carrying out a first treatment on the surface of the Wherein i=1, 2, 3..m; j=1, 2, 3..m, and +.>；
The actual correlation obtained based on the formula (1) is compared with the formula (2)Performing authentication processing and obtaining authentication value +.>；
（2）；
Wherein q represents the total index number of the ith sub-option; l represents the first index of the q total indexes;an index verification parameter representing the first index in the i-th sub-option; />Represents the average verification parameter in the ith sub-option, and +.>The value range of (1, 0); max { } represents the maximum function;
judging the verification value of the obtained ith sub-optionIf the number of the sub-options is larger than a preset value Y, reserving the ith sub-option in the current option type, otherwise, eliminating the ith sub-option in the current option type;
meanwhile, judging that the reserved sub-options in the current option category are legal, and judging the legitimacy of the sub-options in the next option category until the legitimacy judgment of the sub-options in all option categories is finished;
and acquiring legal sub-options in all option categories to realize configuration with the target object.
2. The method of claim 1, wherein the step of assigning a preset task to the target object comprises:
determining a target attribute of the target object;
determining task attributes of the preset task;
according to a pre-trained attribute matching model, carrying out matching processing on the determined target attribute and task attribute, and judging whether a matching value after the matching processing is larger than a preset value or not;
if yes, distributing the preset task to the target object;
otherwise, acquiring a next target object in a pre-stored object database, and carrying out corresponding matching processing on the next target object and the task attribute until the corresponding matching value is larger than a preset value.
3. The method of claim 1, wherein selecting a sub-option associated with a preset task from preset options in a preset interface comprises:
displaying sub-options associated with the preset task in a preset interface for a user to select;
and receiving the sub-option selected by the user.
4. The method of claim 3, wherein selecting a sub-option associated with a preset task from preset options in a preset interface further comprises:
determining the option types of preset options in the preset interface;
determining the category of the option based on the category weight value of the preset task, and determining a final option category according to the category weight value, wherein the final option category comprises: any one or more of permission option type, role option type and flow option type;
acquiring a first weight value of each sub-option in the same category in the final option category;
first priority ordering is carried out on the first weight value of each sub-option in the same category, and first marking is carried out on the first preset number of sub-options in the first priority ordering result;
when the final option type is a first type, selecting a sub option for first marking in the first type;
when the final option category is in the second category, acquiring all sub-items carrying out first marking, and calculating second weight values of all the sub-items carrying out first marking based on the target object;
performing second priority ranking on all the calculated second weight values, and performing second marking on the preset number of sub-options in the second priority ranking result;
and when the final option category is a second category, selecting a sub option for second marking in the second category.
5. The method according to claim 2, wherein the process of constructing the attribute matching model in the matching process of the determined target attribute and task attribute according to the pre-trained attribute matching model includes:
acquiring a target data stream of the target object, and performing first training processing on the target data stream according to a deep learning model to obtain a first learning model;
meanwhile, based on a time calibration axis, dividing the acquired target data stream into a plurality of first data stream frames, acquiring first correction values between adjacent first data stream frames, and performing second training processing on all the acquired first correction values according to the first learning model to acquire a second learning model;
acquiring a task data stream of the preset task, and performing third training processing on the task data stream according to the second learning model to acquire a third learning model;
meanwhile, based on a time calibration axis, the acquired task data stream is divided into a plurality of second data stream frames, second correction values between adjacent second data stream frames are acquired, fourth training processing is carried out on all the acquired second correction values according to the third learning model, and a fourth learning model is obtained, wherein the fourth learning model is the attribute matching model.
6. The method of claim 5, further comprising, after obtaining the attribute matching model:
checking the obtained attribute matching model, carrying out quality evaluation on the checking result of the attribute matching model based on a pre-stored quality evaluation database, and dividing a plurality of levels of regional blocks of the attribute matching model according to the quality evaluation result;
and marking and displaying the divided quality grade area blocks by using preset colors.
7. The method of claim 3, wherein displaying sub-options associated with the preset task in a preset interface for selection by a user comprises:
establishing a guide library related to the preset options;
providing the user with a reservation operation according to the guide library;
establishing a guide tree according to the reserved operation result of the user;
carrying out preset modification treatment on each branch node in the guide tree to generate a final guide tree;
and the user selects the branch node based on the final guide tree displayed by a preset interface, and the branch node is a sub-option.
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