CN105719104B - Intelligent approval method and device - Google Patents
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Abstract
The invention provides an intelligent examination and approval method and device, wherein the method presets at least one examination and approval type, a scene type corresponding to the examination and approval type, and scene information and examination and approval decision information corresponding to the scene type; collecting state information of an approval process, wherein the state information is information related to the approval process; matching the state information with scene information in a scene category corresponding to an approval type corresponding to an approval process; when the state information is matched with the scene information in the scene category, the automatic approval is carried out according to the approval decision information corresponding to the scene category, the technical problem that the automatic approval is not intelligent enough due to the fact that the scene information is not considered in the existing automatic approval is solved, the automatic approval is realized according to the scene information, the logical thinking of manual approval is better met, and the intelligent and personalized level is high.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an intelligent approval method and device.
Background
With the popularization of the information technology, more and more enterprises and units use office systems to work, and the office efficiency is greatly improved. The existing office system generally relates to approval of approval processes, and various approval processes are mainly approved manually, which results in large approval workload and low approval efficiency.
In order to solve the problem, the application document CN201310291554 discloses a workflow-based automatic process approval tool, in which automatic approval is implemented by judging whether all condition fields meet conditions one by one, that is, the automatic approval of the approval process is implemented mainly by setting conditions and judging whether the approval process meets preset conditions. The automatic approval is realized by setting conditions, and the scene information under different conditions is not considered. For example, assume that for the approval process of the type of please assume illness and fakes, the preset conditions of the system include two, which are: whether there is a medical proof and a medical diagnostic book. If the system judges that the examination and approval process comprises preset conditions (medical proof and medical diagnostic book) during automatic examination and approval, the automatic examination and approval is passed, otherwise, the automatic examination and approval is not passed. In practical situations, the result of the manual approval may be different in different scenarios satisfying the above two conditions. For example, when the approval process meets the above two conditions, the manual approval results may be completely different for the two scenarios that the process initiator of the approval process is in the hospital and the process initiator is in the tourist resort. Therefore, scene information is not considered in the existing automatic approval process, so that the automatic approval is not intelligent enough, and therefore a method and a device capable of realizing intelligent approval according to the scene information are urgently needed.
Disclosure of Invention
The invention provides an intelligent approval method and device, and aims to solve the technical problem that automatic approval is not intelligent enough due to the fact that scene information is not considered in the existing automatic approval process.
According to an aspect of the present invention, there is provided a method of intelligent approval, comprising:
presetting at least one examination and approval type, a scene category corresponding to the examination and approval type, and scene information and examination and approval decision information corresponding to the scene category;
collecting state information of an approval process, wherein the state information is information related to the approval process;
matching the state information with scene information in a scene category corresponding to an approval type corresponding to an approval process;
and when the state information is matched with the scene information in the scene category, performing automatic approval according to approval decision information corresponding to the scene category.
Further, the state information includes:
the method comprises the following steps of carrying out approval process on the terminal running state information of the approval process, and carrying out approval process on the terminal running state information of the approval process.
Further, collecting historical approval record information of the approval process in the state information of the approval process includes:
searching a historical approval process which is the same as a process initiator of the approval process and the approval type of the approval process in a preset database, wherein the database is used for storing the historical approval process and an approval result corresponding to the historical approval process;
and taking the approval result of the historical approval process as the historical approval record information of the approval process.
Further, when the state information does not match with the scene information in the scene category, the method for intelligent approval further comprises:
adding a scene type as a newly added scene type, wherein the state information is used as the scene information corresponding to the newly added scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene type;
and carrying out automatic approval according to approval decision information corresponding to the newly added scene type.
Further, automatically approving according to approval decision information corresponding to the scene category includes:
when the type of the approval decision information is an approval type, approving the approval process, and sending an approval result of the approval process and the approved approval process to a next pre-defined approval node;
when the approval decision information is of a type which does not agree with the approval, the approval process is not agreed with, and the approval result is returned to the process initiator sending the approval process;
and when the approval decision information is of the communication approval type, the approval process is not approved.
According to another aspect of the present invention, there is provided an apparatus for intelligent approval, comprising:
the device comprises a presetting device, a judging device and a judging device, wherein the presetting device is used for presetting at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category;
the acquisition device is used for acquiring the state information of the approval process, and the state information is information related to the approval process;
the matching device is used for matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process;
and the first approval device is used for carrying out automatic approval according to approval decision information corresponding to the scene category when the state information is matched with the scene information in the scene category.
Further, the device of intelligent approval still includes:
the scene type adding device is used for adding the scene type as a newly added scene type, wherein the state information is used as the scene information corresponding to the newly added scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene type;
and the second approval device is used for carrying out automatic approval according to approval decision information corresponding to the newly added scene type.
The invention has the following beneficial effects:
according to the intelligent approval method and device provided by the invention, the state information of the approval process is collected, the collected state information is matched with the preset scene information in the scene category corresponding to the approval type corresponding to the approval process, and when the collected state information is matched with the scene information, automatic approval is carried out according to the approval decision information corresponding to the scene category, so that the system can carry out automatic approval according to the approval decision information corresponding to the scene category, the technical problem that the automatic approval is not intelligent due to the lack of consideration of the scene information in the existing automatic approval process is solved, the automatic approval is realized according to the scene information, the logical thinking that the automatic approval is more consistent with the manual approval is better, and the intelligent and personalized level is higher.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and are not to be construed as unduly limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method of intelligent approval of a preferred embodiment of the present invention;
FIG. 2 is a flowchart of a method for intelligent approval of a first simplified embodiment of the present invention;
FIG. 3 is a flowchart of a method for intelligent approval of a second simplified embodiment of the present invention;
FIG. 4 is a flowchart of a method for intelligent approval of a third simplified embodiment of the present invention;
FIG. 5 is a flowchart of a method for intelligent approval of a fourth simplified embodiment of the present invention;
FIG. 6 is a block diagram of an apparatus for intelligent approval in accordance with a preferred embodiment of the present invention.
Description of reference numerals:
10. presetting a device; 20. a collection device; 30. a matching device; 40. a first approval device.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Referring to fig. 1, a preferred embodiment of the present invention provides a method of intelligent approval, comprising:
step S101, presetting at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category;
step S102, collecting state information of an approval process, wherein the state information is information related to the approval process;
step S103, matching the state information with scene information in a scene category corresponding to an approval type corresponding to an approval process;
and step S104, when the state information is matched with the scene information in the scene category, automatically examining and approving according to the examination and approval decision information corresponding to the scene category.
According to the intelligent approval method provided by the embodiment of the invention, the state information of the approval process is collected, the collected state information is matched with the preset scene information in the scene category corresponding to the approval type corresponding to the approval process, and when the collected state information is matched with the scene information, automatic approval is carried out according to the approval decision information corresponding to the scene category, so that the system can carry out automatic approval according to the approval decision information corresponding to the scene category, the technical problem that the automatic approval is not intelligent due to the lack of consideration of the scene information in the existing automatic approval process is solved, the automatic approval is realized according to the scene information, the logical thinking of manual approval is better met, and the intelligent and personalized level is higher.
It should be noted that the approval type in this embodiment is not limited to the approval process type in the approval process of the office workflow, and the intelligent approval method is not limited to be applied to the scope of the office process approval, and specifically, may also be applied to other scenes that need to be approved or approved, such as application scenes of contract approval, vehicle passing approval, and commodity quality approval.
Optionally, the status information includes:
the method comprises the following steps of carrying out approval process on the terminal running state information of the approval process, and carrying out approval process on the terminal running state information of the approval process.
The status information in this embodiment may be one or more combinations of time, location, role of process initiator of the approval process, chat information of process initiator of the approval process, attachment information of the approval process, historical approval record information of the approval process, network status information of the approval process, and terminal operation status information of the approval process. That is, the preset scene information can use the combination of time and place information; the preset scene information may be time information; the preset scene information can also use the attachment information of time, place and approval process. However, the status information of this embodiment is not limited to one or more combinations of time, location, role of process initiator of the approval process, chat information of process initiator of the approval process, attachment information of the approval process, historical approval record information of the approval process, network status information of the approval process, and terminal operation status information of the approval process, and may also include weather, holiday, date information, and the like, and is specifically customized by the user as needed. In addition, in this embodiment, state information or a state information combination corresponding to the type of the approval process may also be set according to the type of the approval process, for example, for an approval process of a debit type, this embodiment may not only use the attachment information of the approval process or the chat information of the process initiator as the state information, but also use the card swiping record of the process initiator of the approval process as the state information, and so on.
Specifically, in the embodiment, the location information in the status information may be obtained through GPS positioning, the time information or the date information may be obtained through the system time information of the terminal, the current weather information may be obtained through network search, the role information of the process initiator of the approval process may be obtained through obtaining a staffing architecture in the office system, the attachment information of the approval process may be obtained through analyzing the approval process, and the chat information of the process initiator of the approval process may be obtained through a short message, an instant communication message, a mobile phone call record, or an instant communication record, or the like. In a specific implementation process, the embodiment generally uses the chat topic of the process initiator of the approval process as the chat information.
In addition, the network status information of the approval process in this embodiment refers to the current network connection type of the approval process, for example, whether the current network connection is a 2G, 3G, or wireless network connection type. The terminal running state information of the approval process in this embodiment specifically refers to a power-on/power-off state of the terminal, for example, for some approval processes with high timeliness requirements, if the terminal of the approval process is in a power-off state, adverse effects may be caused to an enterprise due to delay of approval, and if the system also sets a corresponding scene type for the terminal in the power-off state, intelligent approval can be achieved in this special scene.
It should be noted that, because the time information in this embodiment is a constantly changing value, in an actual implementation process, the time in the scene information may be set to be a time interval, so that when the time information in the collected state information is in the time interval in the preset scene category, the state information is considered to be matched with the scene information.
Optionally, collecting historical approval record information of the approval process in the state information of the approval process includes:
searching a historical approval process which is the same as a process initiator of the approval process and the approval type of the approval process in a preset database, wherein the database is used for storing the historical approval process and an approval result corresponding to the historical approval process;
and taking the approval result of the historical approval process as the historical approval record information of the approval process.
In the actual approval process, some identical approval processes are often approved, such as approval of a leave process, approval of a business trip process, and the like. If the manual approval is performed on the common approval processes one by one, the workload of the manual approval is increased and the approval efficiency of the approval processes is reduced. In order to solve this problem, the present embodiment uses the historical approval record information of the approval process as one of the state information of the approval process. In addition, when the historical approval record information of the approval process in the state information of the approval process is collected, the historical approval process which is the same as the process initiator of the approval process and the approval type of the approval process is searched in the preset database for storing the historical approval process and the approval result corresponding to the historical approval process, and then the approval result of the historical approval process is used as the historical approval record information of the approval process. That is, in this embodiment, when there is a historical approval process that is the same as the process initiator of the approval process and the approval type of the approval process in the database, the approval result of the historical approval process is used as the historical approval record information of the approval process.
It should be noted that in an actual implementation process, the database may include more than one historical approval process that is the same as the process originator of the approval process and the same type of approval process. And aiming at a plurality of approval processes initiated by the same process initiator and having the same approval type, the approval results may be different. For the problem, the embodiment selects the most approval results as the historical approval record information of the approval process.
According to the method and the device for carrying out the intelligent approval, the approval result of the historical approval process which is the same as the process initiator of the approval process and the approval type of the approval process is referred to realize the intelligent approval, manual approval of the approval processes which are the same as the process initiator of the approval process and the approval type of the approval process is greatly reduced, and the approval efficiency of the approval process is improved.
Optionally, when the state information does not match with the scene information in the scene category, the method for intelligent approval further includes:
adding a scene type as a newly added scene type, wherein the state information is used as the scene information corresponding to the newly added scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene type;
and carrying out automatic approval according to approval decision information corresponding to the newly added scene type.
In this embodiment, matching the state information with the scene information in the scene category specifically means that the state information is completely matched with the scene information or the state information includes all the scene information, for example, when the scene information includes time and place information, and the time and place information in the collected state information are completely the same as the time and place information in the scene information, the state information is considered to be matched with the scene information; or when the scene information comprises time and place information, the acquired state information comprises time, place and user occupation information, and the time and place information is completely the same as the time and place information in the scene information, the state information is considered to be matched with the scene information, otherwise, when the time information in the state information is the same as the time information in the scene information, but as long as the place information in the state information is different from the place information in the scene information, the state information is considered not to be matched with the scene information.
When the situation information is detected not to be matched with the scene information in the scene category, the scene category is automatically added as the new scene category. Specifically, the state information is used as the scene information corresponding to the newly added scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity to the state information is used as the approval decision information corresponding to the newly added scene type, wherein the scene type with the highest similarity to the state information is the scene type with the largest amount of scene information matched with the state information. For example, assume that there are two preset scene types in the present embodiment, which are respectively a scene type one and a scene type two, and the scene information corresponding to the scene type one is { a1, a2, a3}, the approval decision information is b1, the scene information corresponding to the scene type two is { a4, a5, a6}, the approval decision information is b2, and the collected state information is { a1, c2, c3 }. It is easy to see that the collected state information is not matched with the scene information corresponding to the scene type one and the scene type two, at this time, assuming that the name of the newly added scene type is the scene type three, the scene information corresponding to the scene type three, that is, the collected state information { a1, c2, c3}, and the approval decision information corresponding to the scene type three is b1, because there is a match between the state information { a1, c2, c3} and the scene information in the scene type one, and there is no match between the state information { a1, c2, c3} and the scene information in the scene type two. It should be noted that, when none of the collected state information matches the scene information in the preset scene categories, the approval decision information corresponding to the scene category corresponding to the scene information with the highest similarity to the state information is used as the approval decision information corresponding to the newly added scene category.
Optionally, the automatically approving according to the approval decision information corresponding to the scene category includes:
when the type of the approval decision information is an approval type, approving the approval process, and sending an approval result of the approval process and the approved approval process to a next pre-defined approval node;
when the approval decision information is of a type which does not agree with the approval, the approval process is not agreed with, and the approval result is returned to the process initiator sending the approval process;
and when the approval decision information is of the communication approval type, the approval process is not approved.
In the actual approval process, the approval process mainly includes two types of approval and disapproval, but for some important or greatly-influenced approval processes, such as contract approval processes, the approval process cannot be easily approved according to the state information during the intelligent approval. Therefore, the approval decision information set in this embodiment includes three types, which are approval type, disapproval approval type and communication approval type. And when the type of the approval decision information is an approval type, approving the approval process, and sending the approval result of the approval process and the approved approval process to the next predefined approval node. In an actual implementation process, when the approval result of the approval process is sent to the next predefined approval process, the approval result of the approval process can also be sent to the process initiator sending the approval process. And when the approval decision information is of a type which does not agree with the approval, the approval process is not agreed with, and the approval result is returned to the process initiator sending the approval process. And when the approval decision information is of the communication approval type, the approval process is not approved. Thereby further improving the intellectualization and individualization degree of the intelligent approval.
The intelligent approval process and principles of the present invention are further described below with respect to two simplified embodiments.
Simplified embodiment 1
Referring to fig. 2, the method for intelligent approval in the present embodiment includes:
step S201, at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category are preset.
Specifically, the preset approval types include five scene types respectively corresponding to the five approval types, and the specific reference table 1 refers to the scene information and the approval decision information corresponding to the scene types. It should be noted that, in an actual implementation process, in this embodiment, any plurality of scene types may be set for each scene type, and the number and specific content of pieces of scene information corresponding to each scene type are also predefined by a user.
TABLE 1
Step S202, collecting the state information of the examination and approval process, wherein the state information comprises the attachment information of the examination and approval process and the location information of the examination and approval process.
Specifically, assume that the approval process of this embodiment is a false approval process for please see a disease, the location where the approval process is initiated is located by the GPS is a hospital, and the additional information obtained by analyzing the approval process is a medical diagnosis book.
Step S203, matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process.
Specifically, since the approval process of the embodiment is a false approval process, the corresponding approval type is easily obtained as a false approval type. Therefore, when the state information is matched with the scene information in the scene category corresponding to the approval type corresponding to the approval process. Firstly, the scene category corresponding to the type of examination and approval for the disease and the counterfeit is obtained, as can be seen from table 1, in this embodiment, two scene categories are set for the type of examination and approval for the disease and the counterfeit, then the collected state information is respectively matched with the scene information corresponding to the two scene categories, and finally, the state information can be obtained according to table 1 to be matched with the scene information in the first scene category of the type of examination and approval for the disease and the counterfeit.
And step S204, when the state information is matched with the scene information in the scene category, automatically examining and approving according to the examination and approval decision information corresponding to the scene category.
As can be seen from step S203, the scene information in the first scene category corresponding to the type of examination and approval for the disease and the counterfeit is matched, so that the examination and approval is automatically performed according to the examination and approval decision information (examination and approval) corresponding to the first scene category.
It can be easily seen that, the whole process of the automatic approval is realized without human participation, and the scene information for automatic approval is fully considered, so that intelligent approval can be performed by combining a plurality of scene information, the technical problem that the scene information is not considered in the existing automatic approval process, so that the automatic approval is not intelligent is solved, the logical thinking that the automatic approval is more consistent with the manual approval is realized according to the scene information, and the intelligent and personalized automatic approval system has higher intelligent and personalized levels.
Simplified embodiment 2
Referring to fig. 3, the method for intelligent approval in the present embodiment includes:
step S301, presetting at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category.
Specifically, the preset approval types include five scene types respectively corresponding to the five approval types, and the specific reference table 1 refers to the scene information and the approval decision information corresponding to the scene types.
Step S302, searching a historical approval process which is the same as the process initiator of the approval process and the approval type of the approval process in a preset database, wherein the database is used for storing the historical approval process and the approval result corresponding to the historical approval process.
Specifically, it is assumed that the approval process of this embodiment is a business trip approval process, so that the approval type corresponding to the approval process is easily obtained as a business trip approval type. Therefore, a historical approval process which is the same as the process initiator of the approval process and the approval type of which is the business trip approval type is searched in a preset database. Suppose that three historical approval processes which are the same as the process initiator of the approval process and the approval type of the approval process are searched in the database, and the approval results of two historical approval processes are approval results, and the approval result of the other historical approval process is disapproval approval.
And step S303, taking the approval result of the historical approval process as the historical approval record information, and taking the historical approval record information as the state information of the approval process.
Specifically, since two of the approval results of the three historical approval processes are approval, the present embodiment uses the approval result (approval) as the historical approval record information, i.e., the status information of the approval process.
And step S304, matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process.
Specifically, since the approval type corresponding to the business trip approval process is the business trip approval type, when the state information is matched with the scene information in the scene category corresponding to the approval type corresponding to the approval process, the scene category corresponding to the business trip approval type is first obtained, as can be seen from table 1, two scene categories are set for the business trip approval type in the present embodiment, then the collected state information is respectively matched with the scene information corresponding to the two scene categories, and finally the matching between the state information and the scene information in the first scene category of the business trip approval type can be obtained according to table 1.
And S305, when the state information is matched with the scene information in the scene category, automatically examining and approving according to the examination and approval decision information corresponding to the scene category.
As shown in step S304, since the scene information in the first scene category corresponding to the business trip approval type is matched, the present embodiment performs automatic approval according to the approval decision information (approval) corresponding to the first scene category.
According to the method and the device for carrying out intelligent approval, the approval result of the historical approval process which is the same as the process initiator of the approval process and the approval type of the approval process is referred to realize intelligent approval, manual approval of the approval processes which are the same as the process initiator of the approval process and the approval type of the approval process is greatly reduced, the approval efficiency of the approval process is improved, and the method and the device have high intelligentization and personalization levels.
Simplified embodiment three
Referring to fig. 4, the method for intelligent approval in the present embodiment includes:
step S401, at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category are preset.
Specifically, the preset approval types include five scene types respectively corresponding to the five approval types, and the specific reference table 1 refers to the scene information and the approval decision information corresponding to the scene types.
Step S402, collecting the state information of the approval process, wherein the state information is the information related to the approval process.
Specifically, it is assumed that the approval process of this embodiment is a contract approval process, and the collected state information includes historical approval record information = approval, and terminal operation state information = shutdown for approving the approval process.
Step S403, matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process.
Specifically, since the approval type corresponding to the contract approval process is obtained as the contract approval type in the present embodiment, when matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process, the scene category corresponding to the contract approval type is first obtained, as can be seen from table 1, two scene categories are set for the contract approval type in the present embodiment, then the collected state information is respectively matched with the scene information corresponding to the two scene categories, and finally the matching of the state information with the scene information in the second scene category of the contract approval type can be obtained according to table 1.
It should be noted that the examination and approval decision information (communication examination and approval) of the communication examination and approval corresponding to the first scene category corresponding to the contract examination and approval type set in this embodiment specifically means that automatic examination and approval is not performed, that is, the examination and approval process is not automatically approved for the scene information in this embodiment. In the actual implementation process, when the examination and approval decision information is detected to be of a communication examination and approval type, the system does not automatically examine and approve the examination and approval process, and meanwhile, an examination and approval interface for manual examination and approval can be displayed in a pop-up frame, so that serious consequences caused by automatic examination and approval of some important examination and approval processes are avoided, and user experience is improved.
Step S404, when the state information is matched with the scene information in the scene category, the type of the approval decision information is continuously judged, and when the type of the approval decision information is the approval type, the approval process is approved, and the approval result of the approval process and the approved approval process are sent to the next predefined approval node; when the approval decision information is of a type which does not agree with the approval, the approval process is not agreed with, and the approval result is returned to the process initiator sending the approval process; and when the approval decision information is of the communication approval type, the approval process is not approved.
Specifically, since the state information in this embodiment is matched with the scene information in the scene two corresponding to the contract approval type, and the type of the approval decision information corresponding to this time is approval, the approval result of the approval process and the approved approval process are sent to the next predefined approval node. In a specific implementation process, the embodiment may also send the approval result to the process initiator that sends the approval process.
Simplified example four
Referring to fig. 5, the method for intelligent approval in the present embodiment includes:
step S501, at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category are preset.
Specifically, the preset approval types include five scene types respectively corresponding to the five approval types, and the specific reference table 1 refers to the scene information and the approval decision information corresponding to the scene types.
Step S502, collecting the state information of the approval process, wherein the state information is the information related to the approval process.
Specifically, if the approval process of the present embodiment is a reimbursement approval process, the corresponding approval type is easily obtained as a reimbursement approval type. Analyzing the approval process to obtain the state information as follows: the process initiator role of the approval process = the human resource supervisor, and the reimbursement amount category =800 yuan.
Step S503, matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process.
Specifically, since the approval type obtained corresponding to the reimbursement approval process is the reimbursement approval type, the state information is matched with the scene information in the scene category corresponding to the approval type corresponding to the reimbursement approval process.
Step S504, when the state information is matched with the scene information in the scene category, automatically examining and approving according to the examination and approval decision information corresponding to the scene category, and ending the program; and when the state information is not matched with the scene information in the scene categories, adding the scene categories as newly added scene categories, wherein the state information is used as the scene information corresponding to the newly added scene categories, and the approval decision information corresponding to the scene category corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene categories.
Specifically, as can be seen from table 1, the state information in this embodiment cannot be matched with the scene information in the scene category corresponding to the approval type, so that the scene category needs to be added as the new scene category. Specifically, in the present embodiment, it is assumed that the newly added scene type is the third scene type, the state information is used as the scene information corresponding to the third scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity to the state information is used as the approval decision information corresponding to the third scene type. As can be seen from table 1, if the scene category corresponding to the scene information with the highest similarity to the state information is the scene category one, the finally obtained scene information of the scene category three corresponding to the reimbursement approval type is: the process initiator role of the approval process = human resource supervisor; the reimbursement amount category = (0-1000 yuan), and the approval decision information is as follows: see table 2 for details of approval.
TABLE 2
| Type of approval | Scene categories | Scene information | Approval decision information |
| Type of reimbursement approval | Scene class three | The process initiator role of the approval process = technical human resource supervisor; reimbursement amount category = (0-1000 yuan) | Approval is agreed |
And step S505, automatically examining and approving according to the examination and approval decision information corresponding to the newly added scene type.
Specifically, according to step S504, the approval decision information corresponding to the newly added scene type, that is, the scene type three, is obtained as approval, and the approval of the reimbursement process is automatically approved according to the approval decision information.
According to the intelligent display intelligent approval method for the desktop component of the mobile terminal, provided by the embodiment of the invention, the state information of the approval process of the mobile terminal is collected, the collected state information is matched with the preset scene information in the scene category corresponding to the approval type corresponding to the approval process, when the collected state information is not matched with the scene information, the scene category is added to serve as a newly added scene category, the state information is used as the scene information corresponding to the newly added scene category, and the approval decision information corresponding to the scene category corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene category, so that the system can continuously update or add the scene category, and the automatic approval is more intelligently realized.
Referring to fig. 6, an apparatus for intelligent approval according to a preferred embodiment of the present invention includes:
the device comprises a presetting device 10, a judging device and a judging device, wherein the presetting device is used for presetting at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category;
the acquisition device 20 is used for acquiring the state information of the approval process, and the state information is information related to the approval process;
the matching device 30 is used for matching the state information with the scene information in the scene category corresponding to the approval type corresponding to the approval process;
and the first approval device 40 is configured to, when the state information matches with the scene information in the scene category, perform automatic approval according to approval decision information corresponding to the scene category.
Optionally, the apparatus for intelligent approval further comprises:
the scene type adding device is used for adding the scene type as a newly added scene type, wherein the state information is used as the scene information corresponding to the newly added scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene type;
and the second approval device is used for carrying out automatic approval according to approval decision information corresponding to the newly added scene type.
According to the intelligent approval device provided by the invention, the state information of the approval process is collected, the collected state information is matched with the preset scene information in the scene category corresponding to the approval type corresponding to the approval process, and when the collected state information is matched with the scene information, automatic approval is carried out according to the approval decision information corresponding to the scene category, so that the system can carry out automatic approval according to the approval decision information corresponding to the scene category, the technical problem that the automatic approval is not intelligent due to the lack of consideration of the scene information in the conventional automatic approval process is solved, the automatic approval is realized according to the scene information, the logical thinking of manual approval is better met, and the intelligent and personalized level is higher.
The specific working process and working principle of the intelligent approval apparatus of this embodiment can refer to the working process and working principle of the intelligent approval method of this embodiment.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A method of intelligent approval, comprising:
presetting at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category;
collecting state information of an approval process, wherein the state information is information related to the approval process;
matching the state information with scene information in a scene category corresponding to an approval type corresponding to the approval process;
when the state information is matched with the scene information in the scene category, performing automatic approval according to approval decision information corresponding to the scene category;
the automatically approving according to the approval decision information corresponding to the scene category comprises:
when the type of the approval decision information is an approval type, approving the approval process, and sending an approval result approving the approval process and the approved approval process to a predefined next approval node;
when the approval decision information is of a type which does not agree with the approval, the approval process is not agreed with, and the approval result is returned to the process initiator sending the approval process;
when the approval decision information is of a communication approval type, the approval process is not approved;
when the state information does not match with the scene information in the scene category, the intelligent approval method further comprises:
adding a scene type as a newly added scene type, wherein the state information is used as the scene information corresponding to the newly added scene type, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene type;
and carrying out automatic approval according to approval decision information corresponding to the newly added scene type.
2. The method of smart approval of claim 1, wherein the state information comprises:
the method comprises the following steps of examining and approving the terminal running state information of the examination and approval process, wherein the examination and approval process comprises one or more of time, place, the role of a process initiator of the examination and approval process, the chat information of the process initiator of the examination and approval process, the accessory information of the examination and approval process, the historical examination and approval record information of the examination and approval process, the network condition information of the examination and approval process and the terminal running state information of the examination and approval process.
3. The intelligent approval method of claim 2, wherein collecting historical approval record information of the approval process in the state information of the approval process comprises:
searching a preset database for a historical approval process which is the same as a process initiator of the approval process and the approval type of the approval process, wherein the database is used for storing the historical approval process and an approval result corresponding to the historical approval process;
and taking the approval result of the historical approval process as the historical approval record information of the approval process.
4. An apparatus for intelligent approval, comprising:
the device comprises a presetting device, a judging device and a judging device, wherein the presetting device is used for presetting at least one approval type, a scene category corresponding to the approval type, and scene information and approval decision information corresponding to the scene category;
the acquisition device is used for acquiring state information of the approval process, wherein the state information is information related to the approval process;
the matching device is used for matching the state information with scene information in a scene category corresponding to the approval type corresponding to the approval process;
the first approval device is used for carrying out automatic approval according to approval decision information corresponding to the scene type when the state information is matched with the scene information in the scene type;
the automatically approving according to the approval decision information corresponding to the scene category comprises:
when the type of the approval decision information is an approval type, approving the approval process, and sending an approval result approving the approval process and the approved approval process to a predefined next approval node;
when the approval decision information is of a type which does not agree with the approval, the approval process is not agreed with, and the approval result is returned to the process initiator sending the approval process;
when the approval decision information is of a communication approval type, the approval process is not approved;
the device that intelligence was approved still includes:
the scene type adding device is used for adding scene types as newly added scene types, wherein the state information is used as the scene information corresponding to the newly added scene types, and the approval decision information corresponding to the scene type corresponding to the scene information with the highest similarity of the state information is used as the approval decision information corresponding to the newly added scene types;
and the second approval device is used for carrying out automatic approval according to approval decision information corresponding to the newly added scene type.
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| CN107563636A (en) * | 2017-08-29 | 2018-01-09 | 泰康保险集团股份有限公司 | Approval process management method, device and storage medium |
| CN107909488A (en) * | 2017-11-10 | 2018-04-13 | 平安科技（深圳）有限公司 | The processing method and processing device of settlement of insurance claim flow |
| CN108694567A (en) * | 2018-07-25 | 2018-10-23 | 昆山融捷信息技术有限公司 | Business approval flow configuration method |
| CN109165856B (en) * | 2018-08-31 | 2023-08-08 | 平安科技（深圳）有限公司 | Dynamic configuration method, device and storage medium of approval chain |
| CN109636624A (en) * | 2018-10-29 | 2019-04-16 | 平安医疗健康管理股份有限公司 | Generation method, device, equipment and the storage medium of air control audit model |
| CN110189095A (en) * | 2019-04-28 | 2019-08-30 | 苏宁易购集团股份有限公司 | A kind of automatic processing method and system of work order examination & approval |
| CN110210823A (en) * | 2019-05-15 | 2019-09-06 | 上海易点时空网络有限公司 | The method and device of approval distributing |
| CN110472930A (en) * | 2019-07-24 | 2019-11-19 | 阿里巴巴集团控股有限公司 | For going out the method, system and calculating equipment of gold management |
| CN111047274B (en) * | 2019-11-12 | 2023-08-11 | 深圳市毕美科技有限公司 | Engineering design drawing examination method and system |
| CN111062694A (en) * | 2019-12-16 | 2020-04-24 | 中国银行股份有限公司 | Bill approval method and device and electronic equipment |
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