CN110956390A - Method and device for prompting early warning risk - Google Patents
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Abstract
The invention discloses a method and a device for prompting early warning risks, and relates to the technical field of computers. One embodiment of the method comprises: determining whether the user is a new user or not according to the acquired login information of the user; under the condition that the user is a new user, acquiring at least one authority of the new user; comparing at least one authority of the new user with at least one authority of the existing user, and determining the number of the same authority between the new user and the existing user; if the number of the same authorities of the existing user and the new user is larger than the preset number, determining that the existing user is the same user of the new user, and pushing a warning risk item setting prompt to the new user according to a warning risk item and a setting value of the same user; and if the number of the same authorities of the existing user and the new user is not more than the preset number, pushing a prompt for setting a common early warning risk item to the new user. The invention can enable the user to judge the early warning risk more accurately according to the early warning risk prompt.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a method and a device for prompting early warning risks.
Background
The patent with the patent publication number of CN108933811A discloses a message pushing method and a platform based on user preferences, the method acquires user information through a shopping website, groups users with the same user preferences according to the user preferences, and sends pushing information groups with the same user preferences to user groups to realize information pushing; however, the scheme cannot customize push for users with different rights, and cannot reduce the priority of pushing uninterested contents for the users.
Patent publication No. CN110134870A discloses a push method and system based on big data, which generates user push information based on a history record of a target user, classifies the target user, and generates corresponding user category push information for pushing. However, the method can not set an early warning risk item, can not avoid the misoperation record of a user, and can not calculate the maximum possible occurrence range of the abnormal value of the existing data.
At present, a plurality of production quality systems have complicated role and authority management, each user can have a plurality of roles, each role can have a plurality of authorities, and for a new user, the production quality data system is strange, and the preset value in the concerned risk item is not based on or experienced. The material checking authority and the supplier authority owned by the users under different roles and different departments are different, and the early warning risk items are configured manually in a conventional manner, so that the materials without the authority are easily configured and error is reported, the existing material risk items are easily configured repeatedly, the non-existing materials are also easily configured, and poor user experience is brought to the users. For old users, items with high attention in a certain period under different dimensions can be continuously clicked, the details of the viewing list are searched, the early warning risk items of the concerned items are added, deleted, changed and checked, the users are reminded of setting accurate early warning risk items in a targeted manner, the situations of more and less early warning records are avoided, and the time and energy of the old users are saved.
Disclosure of Invention
Calculating the attention priority of different types of users to the fault project according to the attention of the users to different projects with different dimensions and the weighting of different abnormal projects of the projects, and establishing a dynamic early warning priority model; and then, the early warning risk items for reminding new or adjusted authorized items are sent to the different types of users logging in the system, so that the effect of accurately early warning the most concerned items of each user is achieved.
In one aspect of the present invention, a method for prompting an early warning risk is provided, including: determining whether the user is a new user or not according to the acquired login information of the user; acquiring at least one authority of a new user under the condition that the user is the new user; comparing at least one authority of the new user with at least one authority of an existing user, and determining the number of the same authorities between the new user and the existing user; if the number of the same authorities of the existing user and the new user is larger than the preset number, determining that the existing user is the same user of the new user, and pushing a prompt of the set early warning risk item to the new user according to the item early warning risk item and the set value thereof of the same user, the company hard regulation item and the set value thereof, and the set value determined according to the standard deviation of the plurality of dimensionality abnormal items; and if the number of the same authorities of the existing user and the new user is not more than the preset number, pushing a prompt for setting common early warning risk items to the new user, wherein the prompt comprises the hard specified items of the company, the set values of the hard specified items and the set values of the hard specified items of the company, and the set values determined according to the standard deviation of the plurality of dimension abnormal items.
Optionally, the method for determining a similar user of the new user includes: acquiring department information and/or role information in the login information of the new user; comparing the department information and/or role information of each existing user; and determining the existing users with the same department information and/or role information as the same users.
Optionally, the plurality of dimension anomaly items comprise one or more of a reject quantity, a reject rate and a pass quantity; the setting value is determined based on the items of which the standard deviation of the plurality of dimension abnormal items is the top n items and 1.5 times and 2 times of the standard deviation thereof.
Optionally, the method further comprises: and under the condition that the user is not a new user, pushing and modifying the prompt of the existing early warning risk item according to the priority of the early warning risk item of the user.
Optionally, the method further comprises: determining whether the existing early warning risk item is modified, and reducing the priority of the existing early warning risk item corresponding to the user for the existing early warning risk item which is not modified; and saving the setting value in the existing early warning risk item which is modified.
Optionally, the method further comprises: determining the priority of the early warning risk item according to the times of preset operations of a user On the early warning risk item in a system, when the times of certain operations of the user On a certain project are larger than a threshold time, recording the total times of the operations of the preset operation type in an attention table F (I, O1, O2, …, On), wherein I is a project code of the early warning risk item, O1, O2, …, On is O1, O2, …, the total times of the preset operations are On, and the higher the times of the preset operations are, the higher the priority of the early warning risk item is.
Optionally, the method further comprises: and establishing a user priority model E (P, U, V, I and R), wherein the term U is the grade value of the user, the term V is the dimension value, the term I is the item code of the early warning risk item, the term R is the setting value, and the term P is the priority of the early warning risk item of the user.
Optionally, the priority P ═ U (O1 ═ W1+ O2 × W2+ … + On × Wn) -N ═ U of the early warning risk item for the userWWherein W1, W2, …, Wn is the weight of the preset operation corresponding to O1, O2, …, On, N is the number of times that the early warning risk item is not modified or set, UWIs a weight of the number of times that is not set.
Optionally, the method for modifying the early warning risk item includes: inquiring the early warning risk items, adding the early warning risk items, deleting the early warning risk items and modifying the set values of the early warning risk items.
According to another aspect of the present invention, there is provided an apparatus for prompting an early warning risk, including:
the judging module is used for determining whether the user is a new user according to the acquired login information of the user;
the comparison module is used for acquiring at least one authority of a new user under the condition that the user is the new user; comparing at least one authority of the new user with at least one authority of an existing user, and determining the number of the same authorities between the new user and the existing user; if the number of the same permissions of the existing user and the new user is larger than the preset number, determining that the existing user is the same user of the new user;
the pushing module is used for pushing a prompt of the set early warning risk item to the new user according to the item early warning risk item and the set value thereof of the same type of user, the hard specified item and the set value thereof of the company and the set value determined according to the standard deviation of the plurality of dimension abnormal items; and if the number of the same authorities of the existing user and the new user is not more than the preset number, pushing a prompt for setting common early warning risk items to the new user, wherein the prompt comprises the hard specified items of the company, the set values of the hard specified items and the set values of the hard specified items of the company, and the set values determined according to the standard deviation of the plurality of dimension abnormal items.
The invention provides a method and a device for prompting early warning risks. The users with different roles and different authorities analyze and automatically prompt the set values of the early warning risk items in a targeted manner, the attention of the users to various items under different dimensions is collected, the error rate and the failure rate of manually setting the early warning risk items are reduced, and the safety of data is ensured. For risk items with high user attention and low early warning rate, properly adjusting the set values of the early warning risk items; the risk items with low user attention and almost zero early warning rate can remind the user to delete, and the waste of resources is reduced. When a new user enters the system for the first time, related data parameters, user set values of the same type, set value specified values and other various types of values are not known to prompt the new user to set.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic step diagram of a method for prompting an early warning risk according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating steps for building a user priority model according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for prompting a pre-warning risk according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that like reference numerals and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further discussed in subsequent figures.
Fig. 1 is a schematic step diagram of a method for prompting a pre-warning risk according to an embodiment of the present invention, as shown in fig. 1,
102, determining whether the user is a new user or not by the system according to the acquired login information of the user; for example, the ID of the user is matched in the user library of the system, if the matching is successful, the user is not the new user, and if the matching is not successful, the user is the new user.
According to an embodiment of the present invention, the method for determining the same class of users as the new user further includes: acquiring department information and/or role information in the login information of the new user; comparing the department information and/or role information of each existing user; and determining the existing users with the same department information and/or role information as the same users. The step can further narrow the range of the same type of users, so that the determined same type of users are more accurate.
And when the same type of users of the new user does not exist, namely if the number of the same authority of the existing user and the new user is not more than the preset number, pushing a prompt minR, maxR and R rule for setting a common early warning risk item to the new user. And the common early warning risk item comprises a preset set value specified value. The common early warning risk item prompt is a preset risk item prompt and serves as default setting.
And 104, under the condition that the user is not a new user, pushing a prompt for modifying the existing early warning risk item according to the priority of the early warning risk item of the user. If the user is not a new user, acquiring the priority of the early warning risk item of the user, selecting a plurality of items (namely preset priorities) with the top rank to push a prompt to the user, or prompting the user whether to delete the early warning risk item with the top rank in the existing early warning risk items, and further modifying the early warning risk item, wherein the priority rank of the early warning risk item is the next priority rank, the method comprises the following steps: inquiring the early warning risk items, adding the early warning risk items, deleting the early warning risk items and modifying the set values of the early warning risk items.
Step 105 represents determining whether the existing pre-warning risk item is modified after pushing the pre-warning risk item prompt.
And step 106 represents that for the existing early warning risk items which are not modified, the priority of the existing early warning risk items corresponding to the user is reduced. If the early warning risk item is not set or modified by the user, it is indicated that the user does not accept the prompt of the early warning risk item, the attention to the risk is low, the priority of the early warning risk item needs to be reduced, the accuracy of pushing the early warning risk item is further increased, and the early warning risk item with low attention is dynamically adjusted.
Fig. 2 is a schematic diagram of a step of establishing a user priority model according to an embodiment of the present invention, as shown in fig. 2:
step 201 represents determining the priority of the early warning risk item according to the number of times of the user performing preset operations (such as clicking, searching and the like) On the early warning risk item in the system, when the number of times of the user performing certain operations On a certain item is greater than a threshold number of times, recording the total number of times of the operations of the preset operation type in an attention table F (I, O1, O2, …, On), I being an item code of the early warning risk item, O1, O2, …, On being O1, O2, …, On being the total number of times of the preset operations, wherein the higher the number of times of the preset operations is, the higher the priority of the early warning risk item is. The step is used for filtering the misoperation of the user and improving the accuracy of the early warning risk prompt.
Step 202 represents determining the set value based on the standard deviation of one or more of the number of rejects, the fraction of rejects, and the number of passes, this step being one embodiment of the present invention according to the present invention.
Step 203 represents determining the setting value according to a preset setting value specification value, which is another embodiment of the present invention according to the present invention.
Step 204 represents establishing a user priority model E (P, U, V, I, R), where U is the rank value, V is the dimension value, I is the item code of the early warning risk item, R is the setting value, and P is the priority of the early warning risk item of the user. The grade value U and the dimension value V of the user and the code I of the early warning risk item are used for marking the early warning risk item of the user, so that the code I of the early warning risk item, the setting value R and the priority P can correspond to each other, and a user priority model is more accurate.
Wherein the priority P ═ U of the user's early warning risk items (O1 × W1+ O2 × W2+ … + On × Wn) -N × UWWherein O1, O2, …, On represents the times of preset operations of O1, O2, …, On, W1, W2, …, Wn is the weight of operations corresponding to O1, O2, …, On types, N is the times of unmodified or unset of the early warning risk item, U is the weight of the operations corresponding to O1, O2, …, On types, andWis a weight that is not set the number of times (defaults to 2). For example, the number of clicks of the user on the early warning risk item or the item record of a certain item is 130, the corresponding weight is 5, but the number of times that the user does not modify the early warning risk item after the push prompt is 3, the corresponding weight is 2, the early warning risk item existing in the item is deleted after the fourth push, and the corresponding weight is-50, then the priority P of the early warning risk item is 130 × 5-3 × 2+1 (-50).
Fig. 3 is a schematic diagram of an apparatus for prompting a risk warning method according to an embodiment of the present invention, and as shown in fig. 3, the apparatus 300 includes
The judging module 301 is configured to determine whether the user is a new user according to the obtained login information of the user; step 101 is implemented.
A comparing module 302, configured to, when the user is a new user, obtain at least one permission of the new user; comparing at least one authority of the new user with at least one authority of an existing user, and determining the number of the same authorities between the new user and the existing user; if the number of the same permissions of the existing user and the new user is greater than the preset number, the existing user is determined to be the same user of the new user, and the module is used for realizing the step 102.
The pushing module 303 is configured to push a prompt for setting an early warning risk item to the new user according to the item early warning risk item and the setting value thereof of the similar user, the company hard regulation item and the setting value thereof, and the setting value determined according to the standard deviation of the multiple dimension abnormal items; and if the number of the same authorities of the existing user and the new user is not more than the preset number, pushing a prompt for setting common early warning risk items to the new user, wherein the prompt comprises a company hard specified item and a set value thereof, and a set value determined according to the standard deviation of a plurality of dimensionality abnormal items. The role of this module is to implement step 103. Further, the apparatus 300 may further include other modules for implementing steps 104 to 107, and steps 201 to 204.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for prompting early warning risk is characterized by comprising the following steps:
determining whether the user is a new user or not according to the acquired login information of the user;
acquiring at least one authority of a new user under the condition that the user is the new user;
comparing at least one authority of the new user with at least one authority of an existing user, and determining the number of the same authorities between the new user and the existing user;
if the number of the same authorities of the existing user and the new user is larger than the preset number, determining that the existing user is the same user of the new user, and pushing a prompt of the set early warning risk item to the new user according to the item early warning risk item and the set value thereof of the same user, the company hard regulation item and the set value thereof, and the set value determined according to the standard deviation of the plurality of dimensionality abnormal items;
and if the number of the same authorities of the existing user and the new user is not more than the preset number, pushing a prompt for setting common early warning risk items to the new user, wherein the prompt comprises the hard specified items of the company, the set values of the hard specified items and the set values of the hard specified items of the company, and the set values determined according to the standard deviation of the plurality of dimension abnormal items.
2. The method of claim 1, wherein the method of determining homogeneous users of the new user comprises:
acquiring department information and/or role information in the login information of the new user;
comparing the department information and/or role information of each existing user;
and determining the existing users with the same department information and/or role information as the same users.
3. The method of claim 1, wherein the plurality of dimensional anomaly items comprise one or more of a number of rejects, a reject rate, a number of passes;
the setting value is determined based on the items of which the standard deviation of the plurality of dimension abnormal items is the top n items and 1.5 times and 2 times of the standard deviation thereof.
4. The method of claim 1, further comprising:
and under the condition that the user is not a new user, pushing and modifying the prompt of the existing early warning risk item according to the priority of the early warning risk item of the user.
5. The method of claim 4, further comprising:
determining whether the existing early warning risk item is modified, and reducing the priority of the existing early warning risk item corresponding to the user for the existing early warning risk item which is not modified;
and saving the setting value in the existing early warning risk item which is modified.
6. The method of claim 1, further comprising:
determining the priority of the early warning risk item according to the times of preset operations of a user On the early warning risk item in a system, when the times of certain operations of the user On a certain project are larger than a threshold time, recording the total times of the operations of the preset operation type in an attention table F (I, O1, O2, …, On), wherein I is a project code of the early warning risk item, O1, O2, …, On is O1, O2, …, the total times of the preset operations are On, and the higher the times of the preset operations are, the higher the priority of the early warning risk item is.
7. The method of claim 6, further comprising:
and establishing a user priority model E (P, U, V, I and R), wherein the term U is the grade value of the user, the term V is the dimension value, the term I is the item code of the early warning risk item, the term R is the setting value, and the term P is the priority of the early warning risk item of the user.
8. The method of claim 7, wherein the user's warning risk item has a priority P ═ U (O1W 1+ O2W 2+ … + On Wn) — N · UWWherein W1, W2, …, Wn is the weight of the preset operation corresponding to O1, O2, …, On, N is the number of times that the early warning risk item is not modified or set, UWIs a weight of the number of times that is not set.
9. The method of claim 4, wherein modifying the pre-warning risk item comprises: inquiring the early warning risk items, adding the early warning risk items, deleting the early warning risk items and modifying the set values of the early warning risk items.
10. An apparatus for alerting of pre-warning risks, comprising:
the judging module is used for determining whether the user is a new user according to the acquired login information of the user;
the comparison module is used for acquiring at least one authority of a new user under the condition that the user is the new user; comparing at least one authority of the new user with at least one authority of an existing user, and determining the number of the same authorities between the new user and the existing user; if the number of the same permissions of the existing user and the new user is larger than the preset number, determining that the existing user is the same user of the new user;
the pushing module is used for pushing a prompt of the set early warning risk item to the new user according to the item early warning risk item and the set value thereof of the same type of user, the hard specified item and the set value thereof of the company and the set value determined according to the standard deviation of the plurality of dimension abnormal items; and if the number of the same authorities of the existing user and the new user is not more than the preset number, pushing a prompt for setting common early warning risk items to the new user, wherein the prompt comprises the hard specified items of the company, the set values of the hard specified items and the set values of the hard specified items of the company, and the set values determined according to the standard deviation of the plurality of dimension abnormal items.
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