CN112288582A - Information processing method and device for improving policy approval efficiency - Google Patents
Information processing method and device for improving policy approval efficiency Download PDFInfo
- Publication number
- CN112288582A CN112288582A CN202011161392.1A CN202011161392A CN112288582A CN 112288582 A CN112288582 A CN 112288582A CN 202011161392 A CN202011161392 A CN 202011161392A CN 112288582 A CN112288582 A CN 112288582A
- Authority
- CN
- China
- Prior art keywords
- information
- approval
- obtaining
- application policy
- policy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Technology Law (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention discloses an information processing method and device for improving policy approval efficiency, which are used for obtaining first application policy information of a first applicant; obtaining first limit information of the first application policy information; obtaining preset quota graded list information and determining a first quota grade; obtaining a first proportion coefficient according to the first quota grade, obtaining a first approval specific gravity value according to the first proportion coefficient, and obtaining first urgency information of the first application policy information; obtaining a second approval specific gravity value of the first application policy according to a second proportion coefficient of the first urgency degree information; and determining a first approval mode of the first application policy according to the first approval specific gravity value and the second approval specific gravity value. The technical problem that insurance policy approval efficiency is low and the user cannot be guaranteed earlier in the prior art is solved, the approval mode is adjusted reasonably according to related information of the insurance policy flexibly, accordingly, the insurance policy approval efficiency is improved, and the technical effect of guaranteeing the user faster is achieved.
Description
Technical Field
The invention relates to the field of policy approval processing, in particular to an information processing method and device for improving policy approval efficiency.
Background
The written proof that the insurance person and the applicant sign an insurance contract is a certificate for guaranteeing the legal rights and interests of the user when the user encounters an accident. The property safety of the user can be guaranteed earlier by passing the policy approval faster.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that insurance policy approval efficiency is low, so that insurance guarantee cannot be provided for a user earlier is solved in the prior art.
Disclosure of Invention
The embodiment of the application provides an information processing method and device for improving the policy approval efficiency, and solves the technical problems that in the prior art, the policy approval efficiency is not high, so that the insurance guarantee cannot be provided for a user earlier, the approval mode can be flexibly and reasonably adjusted according to the related information of the policy, the policy approval efficiency is further improved, and the technical effect of providing the guarantee for the user faster is achieved.
In view of the foregoing problems, embodiments of the present application provide an information processing method and apparatus for improving policy approval efficiency.
In a first aspect, an embodiment of the present application provides an information processing method for improving policy approval efficiency, where the method includes: obtaining first application policy information of a first applicant; obtaining first limit information of the first application policy information; obtaining preset limit grading list information; according to the first amount information, determining a first amount grade of the first application policy from the preset amount grading list information; obtaining a first proportion coefficient of the first quota level; obtaining a first approval specific gravity value of the first application policy according to the first proportion coefficient; acquiring first urgency information of the first application policy information; obtaining a second proportion coefficient of the first urgency degree information; obtaining a second approval specific gravity value of the first application policy according to the second proportion coefficient; and determining a first approval mode of the first application policy according to the first approval specific gravity value and the second approval specific gravity value.
On the other hand, this application still provides an information processing apparatus who improves policy approval efficiency, the device includes: a first obtaining unit configured to obtain first application policy information of a first applicant; the second obtaining unit is used for obtaining the first amount information of the first application policy information; a third obtaining unit, configured to obtain the hierarchical list information of the preset quota; the first determining unit is used for determining the first quota level of the first application insurance policy from the preset quota graded list information according to the first quota information; a fourth obtaining unit, configured to obtain a first proportion coefficient of the first quota level; a fifth obtaining unit, configured to obtain a first approval specific gravity value of the first application policy according to the first proportion coefficient; a sixth obtaining unit, configured to obtain first urgency information of the first application policy information; a seventh obtaining unit configured to obtain a second proportion coefficient of the first urgency degree information; an eighth obtaining unit, configured to obtain a second approval specific gravity value of the first application policy according to the second proportion coefficient; and the second determining unit is used for determining a first approval mode of the first application insurance policy according to the first approval specific gravity value and the second approval specific gravity value.
In a third aspect, the present invention provides an information processing apparatus for improving policy approval efficiency, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
owing to adopted and obtained the quota grade according to the quota information of application policy to confirm first examination and approval specific gravity value through the proportion coefficient of quota grade, obtain the second proportion coefficient according to the emergency degree of application policy, according to the second proportion coefficient of taking up confirms the second examination and approval specific gravity value, confirms according to first examination and approval specific gravity value and second examination and approval specific gravity value the mode of the examination and approval mode of application reaches rightly the condition of policy carries out more accurate judgement, and then reaches for the policy of different proportion provides suitable examination and approval mode of policy, in order to reach the technological effect who improves policy examination and approval efficiency.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flowchart of an information processing method for improving policy approval efficiency according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an information processing apparatus for improving policy approval efficiency according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first determining unit 14, a fourth obtaining unit 15, a fifth obtaining unit 16, a sixth obtaining unit 17, a seventh obtaining unit 18, an eighth obtaining unit 19, a second determining unit 20, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides an information processing method and device for improving the policy approval efficiency, and solves the technical problems that in the prior art, the policy approval efficiency is not high, so that the insurance guarantee cannot be provided for a user earlier, the approval mode can be flexibly and reasonably adjusted according to the related information of the policy, the policy approval efficiency is further improved, and the technical effect of providing the guarantee for the user faster is achieved. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The written proof that the insurance person and the applicant sign an insurance contract is a certificate for guaranteeing the legal rights and interests of the user when the user encounters an accident. The property safety of the user can be guaranteed earlier by passing the policy approval faster. However, the technical problem that insurance guarantee cannot be provided for a user more quickly due to low policy approval efficiency exists in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides an information processing method for improving policy approval efficiency, and the method comprises the following steps: obtaining first application policy information of a first applicant; obtaining first limit information of the first application policy information; obtaining preset limit grading list information; according to the first amount information, determining a first amount grade of the first application policy from the preset amount grading list information; obtaining a first proportion coefficient of the first quota level; obtaining a first approval specific gravity value of the first application policy according to the first proportion coefficient; acquiring first urgency information of the first application policy information; obtaining a second proportion coefficient of the first urgency degree information; obtaining a second approval specific gravity value of the first application policy according to the second proportion coefficient; and determining a first approval mode of the first application policy according to the first approval specific gravity value and the second approval specific gravity value.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an information processing method for improving policy approval efficiency, where the method includes:
step S100: obtaining first application policy information of a first applicant;
specifically, the first applicant is the first applicant who possesses the application policy condition, first application policy information is the relevant basic information of the policy of first applicant's application, including the amount, time, the incident of application etc. pass through the basic information of application policy obtains, for follow-up matching the approval mode of policy has tamped the basis, and then reaches the technological effect that improves policy approval efficiency.
Step S200: obtaining first limit information of the first application policy information;
in particular, the information of the amount generally refers to the maximum amount that a natural person would like to debit from a bank, which would like to offer the debit in accordance with the person's credit status. The amount is determined by the bank according to the condition factors of income, earnings, duty ratio, work content, inauguration enterprises, company positions, property and the like, and the amount refers to the amount information evaluated according to the articles applied by the applicant or applied by the applicant. And obtaining the first amount information through the basic information of the first application policy.
Step S300: obtaining preset limit grading list information;
specifically, the preset limit grading list is a limit grading list made by a receiver according to application amount, and is matched to different grades of the limit grading list according to different limits applied by an applicant, so that the proportion condition of the application amount is accurately judged, and a foundation is laid for a subsequent accurate judgment and approval mode.
Step S400: according to the first amount information, determining a first amount grade of the first application policy from the preset amount grading list information;
step S500: obtaining a first proportion coefficient of the first quota level;
specifically, the first quota information of the first application policy is matched to a preset quota classification table according to the first quota information of the first application policy, the first quota level of the first application policy is obtained according to the preset quota classification table, further, different quota levels represent different proportion coefficients, and a first proportion coefficient corresponding to the different proportion coefficients is obtained according to the first quota level.
Step S600: obtaining a first approval specific gravity value of the first application policy according to the first proportion coefficient;
specifically, the first quota is weighted and calculated according to the proportion coefficient of the first application policy to obtain a first approval specific gravity value of the first application policy.
Step S700: acquiring first urgency information of the first application policy information;
specifically, the first urgency information of the first policy is obtained according to the basic information of the first application policy.
Further, the obtaining of the first urgency information of the first application policy information in the embodiment of the present application further includes:
step S710: inputting the first application policy information into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first application policy information and identification information identifying the urgency of the application policy;
step S720: obtaining output information of the first neural network model, wherein the output information comprises first urgency information of the first application policy.
Specifically, the Neural network model is a Neural network model in machine learning, and Neural Networks (NN) are complex Neural network systems formed by widely interconnecting a large number of simple processing units (called neurons), reflect many basic features of human brain functions, and are highly complex nonlinear dynamical learning systems. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. And inputting the first application policy information into a neural network model through training of a large number of training data sets, and outputting first urgency information of the first application policy.
More specifically, the training process is essentially a supervised learning process, each group of supervised data includes first application policy information and identification information for identifying the emergency degree of the application policy, the first application policy information is input into the neural network model, the neural network model is continuously corrected and adjusted according to the identification information for identifying the emergency degree of the application policy, until the obtained output information is consistent with the identification information for identifying the emergency degree of the application policy, the group of supervised learning is ended, and the next group of data supervised learning is performed; and when the output information of the neural network model reaches the preset accuracy rate/reaches the convergence state, finishing the supervised learning process. Through right the supervision study of neural network model, and then make the neural network model handles input data is more accurate, and then makes the first degree of urgency information of the first application policy of output more reasonable, accurate, and then reaches right the degree of urgency accuracy judgement of first application policy, and then reaches the improvement the technical effect of policy approval efficiency.
Step S800: obtaining a second proportion coefficient of the first urgency degree information;
step S900: obtaining a second approval specific gravity value of the first application policy according to the second proportion coefficient;
specifically, a second proportion coefficient is obtained according to the emergency degree information of the first application policy output by the first neural network model, the first application policy is subjected to weighted calculation according to the second proportion coefficient, a second approval specific value is obtained, the approval mode of the application policy is adjusted according to the emergency degree of the first application policy, and the technical effect of improving the approval efficiency of the policy is achieved.
Step S1000: and determining a first approval mode of the first application policy according to the first approval specific gravity value and the second approval specific gravity value.
Specifically, the first application policy is comprehensively considered according to the first approval specific gravity value and the second approval specific gravity value, and the approval sequence and the approval mode of the first application policy are obtained. For example, when the policy of the first application has a low first approved specific gravity value and a high second specific gravity value, there is now a second application policy, which was applied prior to the first application policy, but the first approval specific gravity value of the second application policy is higher than that of the first application policy, and the second approval specific gravity value of the second application policy is far lower than that of the first application policy, at this time, the importance degree of the first application policy is judged to be higher than that of the second application policy, the first application policy is preferentially approved, when the first application policy is particularly urgent, real-time manual examination and approval can be adopted, and according to the difference of the first examination and approval specific gravity value and the second examination and approval specific gravity value of the application policy, and adjusting the examination and approval sequence and the examination and approval mode of the application policy so as to achieve the technical effect of improving the examination and approval efficiency of the policy.
Further, after obtaining the policy information of the first application of the first applicant, step S100 in the embodiment of the present application further includes:
step S110: obtaining first application dangerous type information of the first application policy information;
step S120: obtaining personal identity information of the first applicant;
step S130: obtaining first classification information of the first application policy according to the personal identity information, the first limit level and the application risk information;
step S140: obtaining a policy import classification list;
step S150: importing a classification list according to the policy to obtain first storage path information of the first application policy;
step S160: and importing and storing the first application policy according to the first storage path information.
Specifically, the application risk category refers to an risk category determined according to the difference of the insurance categories applied by the applicant, and is naturally divided into social insurance and business insurance in a large aspect in particular. Classifying the first application policy according to the personal identity information, the first quota level and the application risk information to obtain first classification information, matching a corresponding classification list according to the first classification of the application, obtaining storage path information of the list according to the classification list, and importing and storing the first application policy according to the storage path. Through right the categorised storage of first application policy has tamped the basis for follow-up accurate acquisition, the judgement the emergency degree of policy, and then reach and can call out fast accurately the technical effect of application policy information establishes the basis for follow-up improvement policy examination and approval efficiency.
Further, the embodiment of the present application further includes:
step S1110: obtaining a first predetermined time period;
step S1120: obtaining first operation log information of an approval department in the first preset time period;
step S1130: obtaining first Settlement employee information, wherein the first Settlement employee has a first degree of association with the approval department;
step S1140: obtaining first approval amount information by the first settlement clerk according to the first operation log information;
step S1150: acquiring preset approval amount information and a second preset time period;
step S1160: and determining the examination and approval amount evaluation information of the examination and approval department in the second preset time period according to the first examination and approval amount information and the preset examination and approval amount information.
Specifically, the first predetermined time period is a certain time period information of the application of the applicant in the approval department, the application amount rule of the applicant is obtained according to the approval log of the approval department, the application amount of the applicant in the second time period is estimated according to the first approval amount information, and the approval amount evaluation information of the approval department is obtained. By pre-estimating the application amount of the applicant, the application in the second time period can be more quickly and accurately approved, and the technical effect of improving the policy approval efficiency is achieved.
Further, the embodiment of the present application further includes:
step 1210: when the first approval mode is manual approval, obtaining first approver information;
step S1220: obtaining first approval deadline time of the first application policy information;
step S1230: obtaining current time information;
step S1240: judging whether the examination and approval state of the first application policy information is the examination and approval completion or not according to the current time information;
step S1250: if not, comparing the first approval deadline time with the current time information to obtain a first time difference;
step S1260: judging whether the first time difference is within a preset time difference threshold value range or not;
step S1270: if so, acquiring a first reminding instruction;
step S1280: and sending first reminding information to the first auditor according to the first reminding instruction.
Specifically, when the first mode of approval is the manual approval, obtain the approver basic information of manual approval, judge whether first application policy is approved and accomplished at current time, if not, obtain the first approval deadline date of first application policy, according to first approval deadline date and current date obtain first time difference, obtain current type approval time difference threshold value, predetermine the time difference threshold value promptly, predetermine the time difference threshold value for accomplishing the minimum time of current approval, work as first time difference is in predetermineeing time difference threshold value within range, then shows first application policy can't accomplish the approval in the predetermined time, obtains first warning instruction this moment, reminds first approver will priority to handle first application policy.
Further, after obtaining the first approver information, step S1210 in this embodiment of the application further includes:
step S1211: obtaining first importance information of the first application policy;
step S1212: obtaining first approval authority level information of the first approver;
step S1213: obtaining a first matching result according to the first importance information and the first approval authority level information;
step S1214: determining whether a first adjusting instruction needs to be obtained or not according to the first matching result;
step S1215: if the adjustment is needed, a first adjustment instruction is obtained, wherein the first adjustment instruction is used for adjusting the first auditor.
Specifically, when the importance of the first application policy is not matched with the approval authority of the first approver, the approver is classified according to the importance of the first application policy, and the corresponding application policy is matched according to the classified approval authority. Further, a first matching result is obtained according to the first importance information and the first approval authority level information, when the matching result does not meet the requirement, a first adjusting instruction is obtained, and the approver is adjusted according to the first adjusting instruction, so that the application policy approval is classified according to different importance degrees, and the technical effect of accelerating the approval efficiency is achieved.
Further, the embodiment of the present application further includes:
step 1310: generating a first verification code according to the first application policy information, wherein the first verification code corresponds to the first application policy information one to one;
step S1320: generating a second verification code according to the second application policy information and the first verification code; by analogy, obtaining the N application policy information for manufacturing the first material; generating an Nth verification code according to the Nth application policy information and the Nth-1 verification code, wherein N is a natural number greater than 1;
step S1330: and respectively copying and storing all application policy information and verification codes on M devices, wherein M is a natural number greater than 1.
In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Generating a first verification code by the first application policy information, wherein the first verification code corresponds to the first application policy information one to one; generating a second verification code according to the second application policy information and the first verification code, wherein the second verification code corresponds to the second application policy information one to one; and in the same way, generating an Nth verification code according to the Nth application policy information and the Nth-1 verification code, wherein N is a natural number greater than 1. All application policy information and verification codes are respectively copied and stored on M devices, wherein the first application policy information and the first verification code are stored on one device as a first storage unit, the second application policy information and the second verification code are stored on one device as a second storage unit, the Nth application policy information and the Nth verification code are stored on one device as an Nth storage unit, when the application policy is required to be called, after each latter node receives data stored by the former node, the data is verified through a common identification mechanism and stored, and each storage unit is connected in series through a hash function, so that the application policy information is difficult to lose and destroy, the application policy information is encrypted through logic of a block chain, and the safety of the application policy information is ensured, the data stored in the multiple devices are processed through a common recognition mechanism, so that the safety of application policy information is further ensured, the safety of the data is further ensured, and the technical effect of rapidly calling and processing the data can be achieved.
Further, in the step S1330 of the embodiment of the present application, the copying and storing all policy applying information and the verification codes in M devices respectively includes:
step S1331: taking the first application policy information and the first verification code as a first storage unit;
step S1332: obtaining a predetermined storage time of the first storage unit;
step S1333: obtaining a first electronic device with the fastest transport capacity in the M electronic devices;
step S1334: and sending the recording right of the first storage unit to the first electronic equipment.
Specifically, the first application policy information and the first verification code are used as a first storage unit, the device which cannot record the first storage unit within a preset time is excluded, the device which records the first storage unit with the fastest transport capacity is obtained from M devices, and the recording right of the first storage unit is given to the device. Furthermore, the second application policy information and the second verification code are used as a second storage unit, the Nth application policy information and the Nth verification code are used as an Nth storage unit, the second storage unit, the third storage unit and the Nth storage unit adopt a recording method like the first storage unit, so that the safe, effective and stable operation of the decentralized block chain system is ensured, the storage units can be rapidly and accurately recorded in the equipment, the security of the application policy information is ensured, the data security is ensured, and the technical effect of rapidly calling and processing the data is achieved.
To sum up, the information processing method and apparatus for improving policy approval efficiency provided by the embodiments of the present application have the following technical effects:
1. owing to adopted and obtained the quota grade according to the quota information of application policy to confirm first examination and approval specific gravity value through the proportion coefficient of quota grade, obtain the second proportion coefficient according to the emergency degree of application policy, according to the second proportion coefficient of taking up confirms the second examination and approval specific gravity value, confirms according to first examination and approval specific gravity value and second examination and approval specific gravity value the mode of the examination and approval mode of application reaches rightly the condition of policy carries out more accurate judgement, and then reaches for the policy of different proportion provides suitable examination and approval mode of policy, in order to reach the technological effect who improves policy examination and approval efficiency.
2. The mode of supervised learning of the neural network model is adopted, so that the neural network model processes the input data more accurately, the first emergency degree information of the output first application policy is more reasonable and accurate, the accurate judgment of the emergency degree of the first application policy is achieved, and the technical effect of improving the policy approval efficiency is achieved.
3. Due to the adoption of the mode of classified storage of the first application policy, the foundation is tamped for the subsequent accurate acquisition and judgment of the emergency degree of the policy, the technical effect of quickly and accurately calling out the application policy information is further achieved, and the foundation is laid for the subsequent improvement of the policy approval efficiency.
4. Due to the adoption of the mode of pre-estimating the application amount of the applicant, the application in the second time period can be more quickly and accurately approved, and the technical effect of improving the examination and approval efficiency of the policy is achieved.
5. The security of the application policy information is ensured by adopting a mode of encrypting the application policy information through the logic of the block chain, and the application policy information is stored on a plurality of devices, and the data stored on the plurality of devices is processed through a consensus mechanism, so that the security of the application policy information is further ensured, and the technical effects of ensuring the data security and rapidly calling and processing the data are achieved.
Example two
Based on the same inventive concept as the information processing method for improving the policy approval efficiency in the foregoing embodiment, the present invention further provides an information processing apparatus for improving the policy approval efficiency, as shown in fig. 2, the apparatus includes:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining first application policy information of a first applicant;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain first amount information of the first application policy information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain the preset quota graded list information;
a first determining unit 14, where the first determining unit 14 is configured to determine, according to the first quota information, a first quota level of the first application policy from the preset quota graded list information;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain a first proportion coefficient of the first quota level;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to obtain a first approval specific gravity value of the first application policy according to the first proportion coefficient;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to obtain first urgency information of the first application policy information;
a seventh obtaining unit 18, where the seventh obtaining unit 18 is configured to obtain a second proportion coefficient of the first urgency degree information;
an eighth obtaining unit 19, where the eighth obtaining unit 19 is configured to obtain a second approval specific gravity value of the first application policy according to the second proportion coefficient;
and a second determining unit 20, wherein the second determining unit 20 is configured to determine a first approval manner of the first application policy according to the first approval specific gravity value and the second approval specific gravity value.
Further, the apparatus further comprises:
a ninth obtaining unit, configured to obtain first application risk information of the first application policy information;
a tenth obtaining unit for obtaining the personal identity information of the first applicant;
an eleventh obtaining unit, configured to obtain first classification information of the first application policy according to the personal identity information, the first quota level, and the application risk information;
a twelfth obtaining unit, configured to obtain a policy import classification list;
a thirteenth obtaining unit, configured to obtain first storage path information of the first application policy according to the policy import classification list;
and the first import unit is used for importing and storing the first application insurance policy according to the first storage path information.
Further, the apparatus further comprises:
a first input unit, configured to input the first application policy information into a first neural network model, where the first neural network model is trained using multiple sets of training data, and each set of training data in the multiple sets includes: first application policy information and identification information identifying the urgency of the application policy;
a fourteenth obtaining unit, configured to obtain output information of the first neural network model, where the output information includes first urgency information of the first application policy.
Further, the apparatus further comprises:
a fifteenth obtaining unit configured to obtain a first predetermined period of time;
a sixteenth obtaining unit, configured to obtain first operation log information of an approval department within the first predetermined time period;
a seventeenth obtaining unit configured to obtain first teller information, wherein the first teller has a first degree of association with the approval department;
an eighteenth obtaining unit configured to obtain first approval amount information by the first settlement employee based on the first operation log information;
a nineteenth obtaining unit configured to obtain preset approval amount information and a second predetermined time period;
and the third determining unit is used for determining the evaluation information of the examination and approval money of the examination and approval department in the second preset time period according to the first examination and approval money information and the preset examination and approval money information.
Further, the apparatus further comprises:
a twentieth obtaining unit, configured to obtain first approver information when the first approval manner is manual approval;
a twenty-first obtaining unit, configured to obtain a first approval deadline time of the first application policy information;
a twenty-second obtaining unit configured to obtain current time information;
the first judging unit is used for judging whether the examination and approval state of the first application policy information is the examination and approval completion or not according to the current time information;
a twenty-third obtaining unit, configured to, if the examination is not completed, compare the first approval deadline time with the current time information, and obtain a first time difference;
the second judging unit is used for judging whether the first time difference is within a preset time difference threshold value range or not;
a twenty-fourth obtaining unit, configured to obtain the first reminding instruction if the first reminding instruction is in the state;
and the first sending unit is used for sending first reminding information to the first auditor according to the first reminding instruction.
Further, the apparatus further comprises:
a twenty-fifth obtaining unit, configured to obtain first importance information of the first application policy;
a twenty-sixth obtaining unit, configured to obtain first approval permission level information of the first approver;
a twenty-seventh obtaining unit, configured to obtain a first matching result according to the first importance information and the first approval permission level information;
a fourth determining unit, configured to determine whether a first adjustment instruction needs to be obtained according to the first matching result;
a twenty-eighth obtaining unit, configured to obtain a first adjustment instruction if needed, where the first adjustment instruction is used to adjust the first approver.
Further, the apparatus further comprises:
a twenty-ninth obtaining unit, configured to generate a first verification code according to the first application policy information, where the first verification code corresponds to the first application policy information one to one;
a thirtieth obtaining unit, configured to generate a second verification code according to the second application policy information and the first verification code; by analogy, obtaining the N application policy information for manufacturing the first material; generating an Nth verification code according to the Nth application policy information and the Nth-1 verification code, wherein N is a natural number greater than 1;
the first storage unit is used for respectively copying and storing all application policy information and verification codes on M devices, wherein M is a natural number larger than 1.
Various changes and specific examples of the information processing method for improving the policy approval efficiency in the first embodiment of fig. 1 are also applicable to the information processing apparatus for improving the policy approval efficiency in the present embodiment, and through the foregoing detailed description of the information processing method for improving the policy approval efficiency, those skilled in the art can clearly know the implementation method of the information processing apparatus for improving the policy approval efficiency in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the information processing method for improving the policy approval efficiency in the foregoing embodiment, the present invention further provides an information processing apparatus for improving the policy approval efficiency, wherein the information processing apparatus has a computer program stored thereon, and the computer program, when executed by a processor, implements the steps of any one of the above-described information processing methods for improving the policy approval efficiency.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the invention provides an information processing method for improving policy approval efficiency, which comprises the following steps: obtaining first application policy information of a first applicant; obtaining first limit information of the first application policy information; obtaining preset limit grading list information; according to the first amount information, determining a first amount grade of the first application policy from the preset amount grading list information; obtaining a first proportion coefficient of the first quota level; obtaining a first approval specific gravity value of the first application policy according to the first proportion coefficient; acquiring first urgency information of the first application policy information; obtaining a second proportion coefficient of the first urgency degree information; obtaining a second approval specific gravity value of the first application policy according to the second proportion coefficient; and determining a first approval mode of the first application policy according to the first approval specific gravity value and the second approval specific gravity value. The technical problem that insurance policy approval efficiency is low and the user cannot be guaranteed earlier in the prior art is solved, the approval mode is adjusted reasonably according to related information of the insurance policy flexibly, accordingly, the insurance policy approval efficiency is improved, and the technical effect of guaranteeing the user faster is achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An information processing method for improving policy approval efficiency, wherein the method comprises the following steps:
obtaining first application policy information of a first applicant;
obtaining first limit information of the first application policy information;
obtaining preset limit grading list information;
according to the first amount information, determining a first amount grade of the first application policy from the preset amount grading list information;
obtaining a first proportion coefficient of the first quota level;
obtaining a first approval specific gravity value of the first application policy according to the first proportion coefficient;
acquiring first urgency information of the first application policy information;
obtaining a second proportion coefficient of the first urgency degree information;
obtaining a second approval specific gravity value of the first application policy according to the second proportion coefficient;
and determining a first approval mode of the first application policy according to the first approval specific gravity value and the second approval specific gravity value.
2. The method of claim 1, wherein after obtaining the first application policy information of the first applicant, the method further comprises:
obtaining first application dangerous type information of the first application policy information;
obtaining personal identity information of the first applicant;
obtaining first classification information of the first application policy according to the personal identity information, the first limit level and the application risk information;
obtaining a policy import classification list;
importing a classification list according to the policy to obtain first storage path information of the first application policy;
and importing and storing the first application policy according to the first storage path information.
3. The method of claim 1, wherein the obtaining first urgency information for the first application policy information comprises:
inputting the first application policy information into a first neural network model, the first neural network model being trained using a plurality of sets of training data, each set of training data in the plurality of sets comprising: first application policy information and identification information identifying the urgency of the application policy;
obtaining output information of the first neural network model, wherein the output information comprises first urgency information of the first application policy.
4. The method of claim 1, wherein the method further comprises:
obtaining a first predetermined time period;
obtaining first operation log information of an approval department in the first preset time period;
obtaining first Settlement employee information, wherein the first Settlement employee has a first degree of association with the approval department;
obtaining first approval amount information by the first settlement clerk according to the first operation log information;
acquiring preset approval amount information and a second preset time period;
and determining the examination and approval amount evaluation information of the examination and approval department in the second preset time period according to the first examination and approval amount information and the preset examination and approval amount information.
5. The method of claim 1, wherein the method further comprises:
when the first approval mode is manual approval, obtaining first approver information;
obtaining first approval deadline time of the first application policy information;
obtaining current time information;
judging whether the examination and approval state of the first application policy information is the examination and approval completion or not according to the current time information;
if not, comparing the first approval deadline time with the current time information to obtain a first time difference;
judging whether the first time difference is within a preset time difference threshold value range or not;
if so, acquiring a first reminding instruction;
and sending first reminding information to the first auditor according to the first reminding instruction.
6. The method of claim 5, wherein after obtaining the first approver information, the method further comprises:
obtaining first importance information of the first application policy;
obtaining first approval authority level information of the first approver;
obtaining a first matching result according to the first importance information and the first approval authority level information;
determining whether a first adjusting instruction needs to be obtained or not according to the first matching result;
if the adjustment is needed, a first adjustment instruction is obtained, wherein the first adjustment instruction is used for adjusting the first auditor.
7. The method of claim 1, wherein the method further comprises:
generating a first verification code according to the first application policy information, wherein the first verification code corresponds to the first application policy information one to one;
generating a second verification code according to the second application policy information and the first verification code; by analogy, obtaining the N application policy information for manufacturing the first material; generating an Nth verification code according to the Nth application policy information and the Nth-1 verification code, wherein N is a natural number greater than 1;
and respectively copying and storing all application policy information and verification codes on M devices, wherein M is a natural number greater than 1.
8. An information processing apparatus that improves policy approval efficiency, wherein the apparatus comprises:
a first obtaining unit configured to obtain first application policy information of a first applicant;
the second obtaining unit is used for obtaining the first amount information of the first application policy information;
a third obtaining unit, configured to obtain the hierarchical list information of the preset quota;
the first determining unit is used for determining the first quota level of the first application insurance policy from the preset quota graded list information according to the first quota information;
a fourth obtaining unit, configured to obtain a first proportion coefficient of the first quota level;
a fifth obtaining unit, configured to obtain a first approval specific gravity value of the first application policy according to the first proportion coefficient;
a sixth obtaining unit, configured to obtain first urgency information of the first application policy information;
a seventh obtaining unit configured to obtain a second proportion coefficient of the first urgency degree information;
an eighth obtaining unit, configured to obtain a second approval specific gravity value of the first application policy according to the second proportion coefficient; and the second determining unit is used for determining a first approval mode of the first application insurance policy according to the first approval specific gravity value and the second approval specific gravity value.
9. An information processing apparatus for improving policy approval efficiency, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the apparatus of any one of claims 1-7 when executing the program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011161392.1A CN112288582B (en) | 2020-10-27 | 2020-10-27 | Information processing method and device for improving approval efficiency of policy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011161392.1A CN112288582B (en) | 2020-10-27 | 2020-10-27 | Information processing method and device for improving approval efficiency of policy |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112288582A true CN112288582A (en) | 2021-01-29 |
| CN112288582B CN112288582B (en) | 2023-08-08 |
Family
ID=74372205
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011161392.1A Active CN112288582B (en) | 2020-10-27 | 2020-10-27 | Information processing method and device for improving approval efficiency of policy |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112288582B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117669567A (en) * | 2024-01-31 | 2024-03-08 | 青岛冠成软件有限公司 | Document management method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108257027A (en) * | 2017-06-16 | 2018-07-06 | 平安科技（深圳）有限公司 | Declaration form data checking method, device, computer equipment and storage medium |
| CN108256810A (en) * | 2016-12-28 | 2018-07-06 | 平安科技（深圳）有限公司 | Insurance business approval process treating method and apparatus |
| CN110111208A (en) * | 2019-04-15 | 2019-08-09 | 深圳壹账通智能科技有限公司 | Declaration form data processing method, device, computer equipment and storage medium |
-
2020
- 2020-10-27 CN CN202011161392.1A patent/CN112288582B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108256810A (en) * | 2016-12-28 | 2018-07-06 | 平安科技（深圳）有限公司 | Insurance business approval process treating method and apparatus |
| CN108257027A (en) * | 2017-06-16 | 2018-07-06 | 平安科技（深圳）有限公司 | Declaration form data checking method, device, computer equipment and storage medium |
| CN110111208A (en) * | 2019-04-15 | 2019-08-09 | 深圳壹账通智能科技有限公司 | Declaration form data processing method, device, computer equipment and storage medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117669567A (en) * | 2024-01-31 | 2024-03-08 | 青岛冠成软件有限公司 | Document management method |
| CN117669567B (en) * | 2024-01-31 | 2024-04-23 | 青岛冠成软件有限公司 | Document management method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112288582B (en) | 2023-08-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ferdiansyah et al. | A lstm-method for bitcoin price prediction: A case study yahoo finance stock market | |
| Rubinfeld et al. | Efficient awards and standards of proof in judicial proceedings | |
| Escobar et al. | A technical analysis indicator based on fuzzy logic | |
| CN107146152A (en) | A kind of credit management system kept accounts based on block chain | |
| CN112801731B (en) | Federal reinforcement learning method for order taking auxiliary decision | |
| CN112053164A (en) | Block chain-based electronic commerce data processing method and system | |
| CN112257048B (en) | Information security protection method and device | |
| CN112561369A (en) | Supply chain financial service method and system based on cloud platform | |
| CN114785580A (en) | Cloud computing data security processing system | |
| CN112288582B (en) | Information processing method and device for improving approval efficiency of policy | |
| CN115908022A (en) | Abnormal transaction risk early warning method and system based on network modeling | |
| CN113034773A (en) | Method and system for biological laboratory safety management | |
| CN113487241A (en) | Method, device, equipment and storage medium for classifying enterprise environment-friendly credit grades | |
| CN113034159A (en) | Enterprise credible credit assessment system and method based on block chain prediction machine technology | |
| CN112102139A (en) | Idle goods transaction poverty alleviation management method and system | |
| US11409502B2 (en) | Intelligent controls for end-user computing | |
| CN112801780A (en) | Method, device and system for identifying international and international risk customers based on federal learning | |
| CN112116515A (en) | Community big health information processing method and system after epidemic situation | |
| CN112783121B (en) | Remote control method and device for automatic textile equipment | |
| Semin et al. | The information security risk management | |
| CN113535806A (en) | Block chain-based power data processing method and device | |
| CN110706098A (en) | Accurate poverty alleviation system and method based on block chain | |
| CN113706309A (en) | Investment risk assessment method and system based on artificial intelligence | |
| CN112085624A (en) | Data processing method and system based on cloud computing | |
| CN112767179B (en) | Monitoring and early warning method and system for vehicle insurance value-added service |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |