CN110516128B - Information configuration method, device, storage medium and apparatus - Google Patents
Information configuration method, device, storage medium and apparatus Download PDFInfo
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Abstract
The invention discloses an information configuration method, equipment, a storage medium and a device, wherein the method comprises the following steps: acquiring newly added information in a preset period; classifying the newly added information according to service types to obtain first in-pair information corresponding to each service type; classifying the first information in the pair through an external information classification model to obtain a target external information classification table, wherein the target external information classification table comprises target first-level information and corresponding target sub-level information; and uploading the target external information classification table to the supervision system according to the matching condition of the target first-level information and the backup attribute information in the supervision system. Based on artificial intelligence, the newly added information in the preset period is respectively classified into an in-pair first information and a target external information classification table, so that in-pair information conforming to internal business rules and external information conforming to external rules are available, the cost of manual communication and the processing cost are reduced, and the information configuration efficiency is improved.
Description
Technical Field
The present invention relates to the field of artificial intelligence, and in particular, to an information configuration method, apparatus, storage medium, and device.
Background
At present, dangerous seed management is carried out according to law on the outside, dangerous seed statistical data which is required to meet the operation and management requirements and reflect the operation conditions of a company are required to be searched in each period, each newly-increased dangerous seed is sent to each product line in the period, each newly-increased dangerous seed is fed back through a reporting system according to the unified signaling and reporting rule on the outside, the related dangerous seed is more, the summarized information is complex and complicated, the process of sending product information to the corresponding product line is easy to cause, and the process of the reporting system is disordered, so that the problem of low information configuration efficiency is caused.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide an information configuration method, equipment, a storage medium and a device, and aims to solve the technical problem of low information configuration efficiency in the prior art.
In order to achieve the above object, the present invention provides an information configuration method, including the steps of:
acquiring newly added information in a preset period;
classifying the newly added information according to service types to obtain first in-pair information corresponding to each service type;
Classifying the first information in the pair through an external information classification model to obtain a target external information classification table, wherein the target external information classification table comprises target first-level information and corresponding target sub-level information;
and uploading the target external information classification table to the supervision system according to the matching condition of the target first-level information and the backup attribute information in the supervision system, wherein the supervision system is used for supervising the compliance of the information.
Preferably, after classifying the new added information according to the service types to obtain the first in-pair information corresponding to each service type, the information configuration method further includes:
sending each pair of in-pair first information to a service docking user of a corresponding service department respectively, so that the service docking user checks the pair of in-pair first information according to a preset rule;
receiving verification information fed back by each service interfacing user, and adjusting each pair of inner first information according to the verification information to obtain pair inner second information;
the method for classifying the first information in the pair through the external information classification model to obtain a target external information classification table comprises the following steps:
And classifying the second information in the pair through an external information classification model to obtain a target external information classification table.
Preferably, the receiving the check information fed back by the service interfacing user, adjusting each pair of the first information according to the check information, and obtaining the pair of the second information, includes:
receiving verification information fed back by each service interfacing user, and extracting information of a missing level and/or modified information from the verification information;
and adjusting each pair of in-pair first information according to the information of the missing level and/or the modified information to obtain in-pair second information.
Preferably, before the second information in the pair is classified by the external information classification model, the method includes:
acquiring sample pair internal information and a corresponding sample pair external information classification table;
training the convolutional neural network model according to the sample pair internal information and the corresponding sample pair external information classification table to obtain an external information classification model.
Preferably, the uploading the target external information classification table to the supervisory system according to the matching condition of the target first-level information and the backup attribute information in the supervisory system includes:
Matching the first-level information of the target in the target external information classification table with the backup attribute information in the supervision system;
and if the matching is successful, uploading the target first-level information and the corresponding target secondary-level information in the target external information classification table to the supervision system.
Preferably, before the new information in the preset period is acquired, the information configuration method further includes:
acquiring all current period information in a preset period, and acquiring all current period information of a current period in a preset information code table;
and comparing the current period information with the current period information to obtain newly-added information in a preset period.
Preferably, the classifying the new added information according to the service types to obtain first in-pair information corresponding to each service type includes:
acquiring subdivision information corresponding to each service type, traversing the newly-added information, and taking the traversed newly-added information as current information;
matching the current information with subdivision information corresponding to each service type;
and if the matching is successful, classifying the current information into intra-pair first information of the service type which is successfully matched.
In addition, in order to achieve the above object, the present invention also proposes an information configuration apparatus including a memory, a processor, and an information configuration program stored on the memory and executable on the processor, the information configuration program being configured to implement the steps of the information configuration method as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon an information configuration program which, when executed by a processor, implements the steps of the information configuration method as described above.
In addition, in order to achieve the above object, the present invention also proposes an information configuration apparatus including:
the acquisition module is used for acquiring the newly-added information in a preset period;
the classification module is used for classifying the newly added information according to the service types to obtain first in-pair information corresponding to each service type respectively;
the classification module is further used for classifying the first information in the pair through an external information classification model to obtain a target external information classification table, and the target external information classification table comprises target first level information and corresponding target sub-level information;
And the uploading module is used for uploading the target external information classification table to the supervision system according to the matching condition of the target first-level information and the report attribute information in the supervision system, and the supervision system is used for supervising the compliance of the information.
In the invention, the newly added information in a preset period is acquired; classifying the newly added information according to service types to obtain first information in pairs corresponding to each service type, wherein the first information in pairs accords with internal service rules, so that the management of the internal information is facilitated, and the cost and the processing cost of manual communication are reduced; the first information in the pair is classified through an external information classification model, a target external information classification table is obtained, the target external information classification table comprises target first-level information and corresponding target sub-level information, the target external information classification table is uploaded to the supervision system according to the matching condition of the target first-level information and the report attribute information in the supervision system, and based on artificial intelligence, the target external information classification table accords with information of external rules, so that information configuration efficiency in butting the external supervision system is improved.
Drawings
Fig. 1 is a schematic structural diagram of an information configuration device of a hardware running environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of an information configuration method according to the present invention;
FIG. 3 is a flowchart of a second embodiment of an information configuration method according to the present invention;
FIG. 4 is a flowchart of a third embodiment of an information configuration method according to the present invention;
fig. 5 is a block diagram showing the construction of a first embodiment of the information configuration apparatus of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an information configuration device of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the information configuration apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the information configuration apparatus, and may include more or less components than illustrated, or may combine certain components, or may be arranged in different components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and an information configuration program may be included in the memory 1005, which is one type of computer storage medium.
In the information configuration apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the information configuration apparatus calls an information configuration program stored in the memory 1005 through the processor 1001 and executes the information configuration method provided by the embodiment of the present invention.
Based on the above hardware structure, an embodiment of the information configuration method of the present invention is presented.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of an information configuration method according to the present invention.
In a first embodiment, the information configuration method includes the steps of:
step S10: and obtaining newly added information in a preset period.
It should be understood that the execution subject of the present embodiment is the information configuration device, where the information configuration device may be an electronic device such as a personal computer or a server. The searching of newly added information is usually carried out at the bottom of each month, the preset period is usually the month, and the statistical information of each period is collected and summarized and then written into a preset information code table, so that the preset information code table comprises all current period information of the current period, all current period information in the preset period is obtained through searching, all current period information in the obtained preset period is compared with the current period information stored in the preset information code table, and if the non-stored insurance in the preset information code table appears in the current period information, the non-matched current period information is the newly added information in the preset period. For example, the new information includes related information such as name of the dangerous seed and premium. In this embodiment, before the step S10, the method further includes: acquiring all current period information in a preset period, and acquiring all current period information of a current period in a preset information code table; and comparing the current period information with the current period information to obtain newly-added information in a preset period.
Step S20: and classifying the newly added information according to the service types to obtain first in-pair information corresponding to each service type.
It can be understood that, in general, companies classify each information according to the service, so as to facilitate management and service expansion, and therefore, classify the newly added information according to the service type. For example, the service types include agricultural risk service, vehicle risk service, financial risk service, health risk service and the like, and the first information in the pair corresponding to each service type is obtained in a classified manner.
For example, the new information in the preset period includes cultivation risk, vehicle loss risk, third party responsibility risk, medical insurance and disease insurance, the new information is classified according to service types, the first information in the pair corresponding to the agricultural risk service is obtained as cultivation risk, the first information in the pair corresponding to the vehicle risk service is vehicle loss risk and third party responsibility risk, and the first information in the pair corresponding to the health risk service is medical insurance and disease insurance.
Step S30: and classifying the first information in the pair through an external information classification model to obtain a target external information classification table, wherein the target external information classification table comprises target first level information and corresponding target secondary level information.
It should be noted that, the newly added information in each period needs to report the insurance information to the external reporting and supervising system, and the reporting attribute information of the supervising system is the caliber requirement information of the supervising system. The report attribute information is generally provided with a multi-layer classification rule of each information in sequence according to the level, and the target external information classification table comprises target first-layer information and corresponding target layer information. For example, taking insurance as an example, the insurance type of the target first-level information generally includes 14 risk types including car risk, accident risk, agricultural risk, health risk, financial risk and the like, and each of the target first-level information includes further sub-divided second-level, third-level or fourth-level risk information, namely, the target sub-level information, and some of the target first-level information does not include sub-divided level information any more according to the report attribute information. For example, the first class of agricultural hazards includes two secondary categories, namely planting and breeding, and breeding is subdivided into three categories including cattle and sheep, and cattle includes four categories including calf, adult bull and adult cow. The method is arranged according to the caliber requirement of the supervision system, and some cases only include one-level dangerous seed classification, and some cases include four-level dangerous seed classification. In this embodiment, the external information classification rule may be further constructed by acquiring backup attribute information of the supervisory system according to the backup attribute information. And classifying the first information in the pair according to the external information classification rule to obtain information of each level, and forming the target external information classification table.
In a specific implementation, based on artificial intelligence, a basic model can be built, the basic model comprises a convolutional neural network model and a support vector machine model, a large number of first information of samples in the past and corresponding external information classification tables of the samples are obtained to train the basic model, the external information classification model is obtained, and then the internal first information can be classified through the external information classification model to obtain the target external information classification table. In the external information classification table, each information is specifically subdivided according to one to four levels, and classified filling is performed on each level of information, so that the external information classification table can be in butt joint with an external supervision system. For example, a first class, 14 items, is usually presented in the form of a drop-down box, a first class is subdivided into fixed subclasses, some first class classes have two, three and four classes, and some first class classes have no lower class.
Step S40: and uploading the target external information classification table to the supervision system according to the matching condition of the target first-level information and the backup attribute information in the supervision system, wherein the supervision system is used for supervising the compliance of the information.
It should be understood that the supervision system includes information classification, each information in the target external information classification table is matched with each information in the supervision system, corresponding information in the target external information classification table is extracted and uploaded to corresponding information items of the supervision system according to the matching condition, and the supervision system is used for supervising compliance of information.
For example, if the supervision system is a unified trust supervision system, generally, the risk categories of the target first-level information include 14 categories including car risk, accident risk, agricultural risk, health risk, financial risk and the like, and the reporting attribute information in the supervision system is to report insurance data according to multi-level risk, the target first-level information in the external information classification table may be traversed by the target, the traversed target first-level information is used as the current first-level risk, the current first-level risk is matched with the reporting attribute information in the supervision system, and if the matching is successful, the current first-level risk and the corresponding target secondary-level information may be uploaded.
In this embodiment, the new information in the preset period is obtained; classifying the newly added information according to service types to obtain first information in pairs corresponding to each service type, wherein the first information in pairs accords with internal service rules, so that the management of the internal information is facilitated, and the cost and the processing cost of manual communication are reduced; the first information in the pair is classified through an external information classification model, a target external information classification table is obtained, the target external information classification table comprises target first-level information and corresponding target sub-level information, the target external information classification table is uploaded to the supervision system according to the matching condition of the target first-level information and the report attribute information in the supervision system, and based on artificial intelligence, the target external information classification table accords with information of external rules, so that information configuration efficiency in butting the external supervision system is improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the information configuration method according to the present invention, and the second embodiment of the information configuration method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In a second embodiment, after the step S20, the method further includes:
step S201: and respectively sending the first information in each pair to service butt-joint users of corresponding service departments, so that the service butt-joint users verify the first information in each pair according to preset rules.
It should be understood that, in order to ensure the accuracy of the new information in the counted preset period, each pair of the first information is sent to the corresponding service department for verification, the types of information responsible by different service departments are limited, and the different configuration information of the types of information responsible are familiar, so that the service interfacing users of each service department verify each pair of the first information, and the accuracy of the data can be quickly verified.
It should be noted that, in order to successfully dock with the caliber of the external supervision system, the first information may be checked according to the preset rule, and the preset rule may be set according to the caliber requirement of the supervision system.
For example, the supervisory system includes a system signaling supervisory system, where the caliber requirement of the system signaling supervisory system includes 14 primary risk types and sub-division of the lower risk types corresponding to the primary risk types, and typically includes at least one of one, two, three or four levels. The service interfacing user can check the information of each level according to the external information classification rule, if the information of a certain level is missing or has errors, feedback can be carried out, missing information is added, and error information is corrected. Each level risk also needs to include corresponding premium and other data information, and the preset rule can also set a premium and other data accounting mode, for example, if the first class risk has 3 second classes, the premium sum of the 3 second classes is equal to the premium of the first class, and the like, and other data items are checked.
Step S202: and receiving verification information fed back by the service butting users, and adjusting the first information in each pairing according to the verification information to obtain second information in each pairing.
In a specific implementation, the verification information includes at least one of added information of a missing level, modified information and verification information. If the verification information comprises at least one of the added information of the missing level and the modified information, the first information in each pair is required to be adjusted, the missing level information is added, the error information is adjusted to the modified information, the obtained second information in each pair is more accurate, and the caliber requirement of the external supervision system is met. The second information in the pair is generally summarized and written into the preset information code table, and the preset information code table is used for managing all information internally. In this embodiment, the step S202 includes: receiving verification information fed back by each service interfacing user, and extracting information of a missing level and/or modified information from the verification information; and adjusting each pair of in-pair first information according to the information of the missing level and/or the modified information to obtain in-pair second information.
In a second embodiment, the step S30 includes:
step S301: and classifying the second information in the pair through an external information classification model to obtain a target external information classification table, wherein the target external information classification table comprises target first-level information and corresponding target secondary-level information.
It should be understood that, based on artificial intelligence, a basic model may be established, where the basic model includes a convolutional neural network model and a support vector machine model, a large number of samples in the past period are obtained, and the internal information of the sample pair and the corresponding external information classification table of the sample pair are trained on the basic model to obtain the external information classification model, and if the internal information of the sample pair is a large number of internal second information in the past period, the external information classification model may be used to classify the internal second information of the pair to obtain the external information classification table of the target. For example, in the external risk classification table, each risk is specifically subdivided according to one to four levels, and classification filling is performed on risk information of each level, so that the external risk classification table can be in butt joint with the external supervision system. The first class classification generally comprises 14 items, is presented in a form of a drop-down box, subdivides fixed subclasses under dangerous species of the first class, has two-level, three-level and four-level classification, and has no lower-level classification. In this embodiment, before the step S301, the method further includes: acquiring sample pair internal information and a corresponding sample pair external information classification table; training the convolutional neural network model according to the sample pair internal information and the corresponding sample pair external information classification table to obtain an external information classification model.
In this embodiment, the service docking users verify the first information in the pair according to a preset rule, and adjust each first information in the pair according to the verification information fed back by each service docking user to obtain second information in the pair, so as to improve the accuracy and efficiency of counting the newly added information.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of the information configuration method according to the present invention, and the third embodiment of the information configuration method according to the present invention is proposed based on the second embodiment shown in fig. 3.
In a third embodiment, the step S40 includes:
step S401: and matching the first-level information of the target in the target external information classification table with the backup attribute information in the supervision system.
For example, the supervisory system is a unified supervisory system, generally the class of the first-level risk of the external first-level includes 14 classes including car risk, accident risk, agricultural risk, health risk, financial risk and the like, the target external information classification table has been modified according to the backup attribute information in the supervisory system, the backup attribute information in the supervisory system is to report insurance data according to multiple-level risk, and the data may be uploaded by traversing each target first-level information in the target external information classification table, using the traversed target first-level information as a current first-level risk, matching the current first-level risk with the backup attribute information in the supervisory system, if the matching is successful, and uploading the current first-level risk and the corresponding target secondary-level information.
Step S402: and if the matching is successful, uploading the target first-level information and the corresponding target secondary-level information in the target external information classification table to the supervision system, wherein the supervision system is used for supervising the compliance of the information.
It can be understood that if the target first-level information is successfully matched with the backup attribute information in the supervision system, the target first-level information and the corresponding target secondary-level information are acquired and uploaded to the matched backup attribute information position, so that the backup attribute information of the supervision system is filled. For example, the first-level information includes information such as a first-level risk name and a first-level premium, some first-level information does not include target sub-level information, some first-level information includes target sub-level information of at least one level, and the target sub-level information includes information such as a risk name and a premium of at least one level of the second level, the third level, and the fourth level.
In a third embodiment, the step S20 includes:
acquiring subdivision information corresponding to each service type, traversing the newly-added information, and taking the traversed newly-added information as current information;
Matching the current information with subdivision information corresponding to each service type;
and if the matching is successful, classifying the current information into intra-pair first information of the service type which is successfully matched.
It should be noted that, generally, each information is classified according to a service, so as to facilitate management and service expansion, so that the newly added information is classified according to the service type, for example, the service type includes an agricultural risk service, a car risk service, an enterprise risk service, a health risk service, etc., and the service type includes subdivision information, for example, the agricultural risk service includes second-level subdivision information including planting and breeding, the breeding includes third-level categories of cattle, sheep, etc., and the cattle includes fourth-level categories of calf, adult bull, adult cow, etc. The new information generally comprises a plurality of category information, for the service type with subdivision information, the new information is generally subdivision information, the new information can be traversed, the traversed new information is used as current information, the current information is matched with the service type, for example, the current information is cultivation risk, cultivation matching with the agricultural risk service comprising two levels of subdivision information is successful, and cultivation risk in the new information is used as first information in the matched agricultural risk service.
In this embodiment, the target first level information in the target external information classification table is matched with the backup attribute information in the supervisory system, if the matching is successful, the target first level information and the corresponding target secondary level information in the target external information classification table are uploaded to the supervisory system, so that the backup attribute information of the supervisory system is filled, and the accuracy and efficiency of data uploading are improved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores an information configuration program, and the information configuration program realizes the steps of the information configuration method when being executed by a processor.
In addition, referring to fig. 5, an embodiment of the present invention further proposes an information configuration apparatus, including:
the obtaining module 10 is configured to obtain the new information in the preset period.
It should be understood that, the retrieval of the newly added information is generally performed at the bottom of each month, the preset period is generally referred to as the month, and the statistical information of each period is collected and summarized and then written into a preset information code table, so that the preset information code table includes all the current period information of the current period, all the current period information in the preset period is obtained through retrieval, all the current period information in the obtained preset period is compared with the current period information stored in the preset information code table, and if the insurance which is not stored in the preset information code table appears in the current period information, namely, the current period information which is not matched when compared is the newly added information in the preset period. For example, the new information includes related information such as name of the dangerous seed and premium. In this embodiment, the information configuration apparatus further includes: the acquiring module 10 is further configured to acquire all current period information in a preset period, and acquire all current period information of a current period in a preset information code table; and the comparison module is used for comparing the current period information with the current period information to obtain newly-added information in a preset period.
And the classification module 20 is configured to classify the new information according to service types, and obtain first in-pair information corresponding to each service type.
It can be understood that, in general, companies classify each information according to the service, so as to facilitate management and service expansion, and therefore, classify the newly added information according to the service type. For example, the service types include agricultural risk service, vehicle risk service, financial risk service, health risk service and the like, and the first information in the pair corresponding to each service type is obtained in a classified manner.
For example, the new information in the preset period includes cultivation risk, vehicle loss risk, third party responsibility risk, medical insurance and disease insurance, the new information is classified according to service types, the first information in the pair corresponding to the agricultural risk service is obtained as cultivation risk, the first information in the pair corresponding to the vehicle risk service is vehicle loss risk and third party responsibility risk, and the first information in the pair corresponding to the health risk service is medical insurance and disease insurance.
The classification module 20 is further configured to classify the first information in the pair through an external information classification model, so as to obtain a target external information classification table, where the target external information classification table includes target first level information and corresponding target secondary level information.
It should be noted that, the newly added information in each period needs to report the insurance information to the external reporting and supervising system, and the reporting attribute information of the supervising system is the caliber requirement information of the supervising system. The report attribute information is generally provided with a multi-layer classification rule of each information in sequence according to the level, and the target external information classification table comprises target first-layer information and corresponding target layer information. For example, taking insurance as an example, the insurance type of the target first-level information generally includes 14 risk types including car risk, accident risk, agricultural risk, health risk, financial risk and the like, and each of the target first-level information includes further sub-divided second-level, third-level or fourth-level risk information, namely, the target sub-level information, and some of the target first-level information does not include sub-divided level information any more according to the report attribute information. For example, the first class of agricultural hazards includes two secondary categories, namely planting and breeding, and breeding is subdivided into three categories including cattle and sheep, and cattle includes four categories including calf, adult bull and adult cow. The method is arranged according to the caliber requirement of the supervision system, and some cases only include one-level dangerous seed classification, and some cases include four-level dangerous seed classification. In this embodiment, the external information classification rule may be further constructed by acquiring backup attribute information of the supervisory system according to the backup attribute information. And classifying the first information in the pair according to the external information classification rule to obtain information of each level, and forming the target external information classification table.
In a specific implementation, based on artificial intelligence, a basic model can be built, the basic model comprises a convolutional neural network model and a support vector machine model, a large number of first information of samples in the past and corresponding external information classification tables of the samples are obtained to train the basic model, the external information classification model is obtained, and then the internal first information can be classified through the external information classification model to obtain the target external information classification table. In the external information classification table, each information is specifically subdivided according to one to four levels, and classified filling is performed on each level of information, so that the external information classification table can be in butt joint with an external supervision system. For example, a first class, 14 items, is usually presented in the form of a drop-down box, a first class is subdivided into fixed subclasses, some first class classes have two, three and four classes, and some first class classes have no lower class.
And the uploading module 30 is configured to upload the target external information classification table to the supervisory system according to the matching condition of the target first-level information and the report attribute information in the supervisory system, where the supervisory system is used for supervising the compliance of the information.
It should be understood that the supervision system includes information classification, each information in the target external information classification table is matched with each information in the supervision system, corresponding information in the target external information classification table is extracted and uploaded to corresponding information items of the supervision system according to the matching condition, and the supervision system is used for supervising compliance of information.
For example, if the supervision system is a unified trust supervision system, generally, the risk categories of the target first-level information include 14 categories including car risk, accident risk, agricultural risk, health risk, financial risk and the like, and the reporting attribute information in the supervision system is to report insurance data according to multi-level risk, the target first-level information in the external information classification table may be traversed by the target, the traversed target first-level information is used as the current first-level risk, the current first-level risk is matched with the reporting attribute information in the supervision system, and if the matching is successful, the current first-level risk and the corresponding target secondary-level information may be uploaded.
In this embodiment, the new information in the preset period is obtained; classifying the newly added information according to service types to obtain first information in pairs corresponding to each service type, wherein the first information in pairs accords with internal service rules, so that the management of the internal information is facilitated, and the cost and the processing cost of manual communication are reduced; the first information in the pair is classified through an external information classification model, a target external information classification table is obtained, the target external information classification table comprises target first-level information and corresponding target sub-level information, the target external information classification table is uploaded to the supervision system according to the matching condition of the target first-level information and the report attribute information in the supervision system, and based on artificial intelligence, the target external information classification table accords with information of external rules, so that information configuration efficiency in butting the external supervision system is improved.
In an embodiment, the information configuration apparatus further includes:
the sending module is used for respectively sending the first information in each pair to service butt-joint users of corresponding service departments so that the service butt-joint users can check the first information in each pair according to preset rules;
the adjustment module is used for receiving the verification information fed back by each service butting user, and adjusting each pair of inner first information according to the verification information to obtain pair inner second information;
the classification module 20 is further configured to classify the second information in the pair through an external information classification model, so as to obtain a target external information classification table.
In an embodiment, the adjusting module is further configured to receive verification information fed back by each service interfacing user, and extract information of a missing level and/or modified information from the verification information;
the adjustment module is further configured to adjust each pair of in-pair first information according to the missing level information and/or the modified information, so as to obtain in-pair second information.
In an embodiment, the information configuration apparatus further includes:
the acquiring module 10 is further configured to acquire sample pair internal information and a corresponding sample pair external information classification table;
And the training module is used for training the convolutional neural network model according to the sample pair internal information and the corresponding sample pair external information classification table to obtain an external information classification model.
In an embodiment, the uploading module 30 is further configured to match the target first-level information in the target external information classification table with backup attribute information in the supervision system; and if the matching is successful, uploading the target first-level information and the corresponding target secondary-level information in the target external information classification table to the supervision system.
In an embodiment, the information configuration apparatus further includes:
the acquiring module 10 is further configured to acquire all current period information in a preset period, and acquire all current period information of a current period in a preset information code table;
and the comparison module is used for comparing the current period information with the current period information to obtain newly-added information in a preset period.
In an embodiment, the classification module 20 is further configured to obtain subdivision information corresponding to each service type, traverse the newly added information, and use the traversed newly added information as current information; matching the current information with subdivision information corresponding to each service type; and if the matching is successful, classifying the current information into intra-pair first information of the service type which is successfully matched.
Other embodiments or specific implementation manners of the information configuration apparatus of the present invention may refer to the above method embodiments, and are not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third, etc. do not denote any order, but rather the terms first, second, third, etc. are used to interpret the terms as labels.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read only memory mirror (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. An information configuration method, characterized in that the information configuration method comprises the following steps:
acquiring newly added information in a preset period;
classifying the newly added information according to service types to obtain first in-pair information corresponding to each service type;
classifying the first information in the pair through an external information classification model to obtain a target external information classification table, wherein the target external information classification table comprises target first-level information and corresponding target sub-level information;
uploading the target external information classification table to a supervision system according to the matching condition of the target first-level information and the backup attribute information in the supervision system, wherein the supervision system is used for supervising the compliance of the information;
the method for configuring the information further comprises the steps of:
Sending each pair of in-pair first information to a service docking user of a corresponding service department respectively, so that the service docking user checks the pair of in-pair first information according to a preset rule;
receiving verification information fed back by each service interfacing user, and adjusting each pair of inner first information according to the verification information to obtain pair inner second information;
the method for classifying the first information in the pair through the external information classification model to obtain a target external information classification table comprises the following steps:
classifying the second information in the pair through an external information classification model to obtain a target external information classification table;
the step of classifying the newly added information according to the service types to obtain first in-pair information corresponding to each service type, including:
acquiring subdivision information corresponding to each service type, traversing the newly-added information, and taking the traversed newly-added information as current information;
matching the current information with subdivision information corresponding to each service type;
if the matching is successful, classifying the current information into intra-pair first information of the service type which is successfully matched;
the method for classifying the second information in the pair through the external information classification model comprises the following steps of:
Acquiring sample pair internal information and a corresponding sample pair external information classification table;
training the convolutional neural network model according to the sample pair internal information and the corresponding sample pair external information classification table to obtain an external information classification model.
2. The information configuration method as claimed in claim 1, wherein said receiving the check information fed back by each service docking user, and adjusting each of the first information in the pair according to the check information, to obtain second information in the pair, includes:
receiving verification information fed back by each service interfacing user, and extracting information of a missing level and/or modified information from the verification information;
and adjusting each pair of in-pair first information according to the information of the missing level and/or the modified information to obtain in-pair second information.
3. The information configuration method according to claim 1, wherein the uploading the target external information classification table to the supervisory system according to the matching condition of the target first-level information and the report attribute information in the supervisory system includes:
matching the first-level information of the target in the target external information classification table with the backup attribute information in the supervision system;
And if the matching is successful, uploading the target first-level information and the corresponding target secondary-level information in the target external information classification table to the supervision system.
4. The information configuration method according to claim 1, wherein before the newly added information in the preset period is acquired, the information configuration method further comprises:
acquiring all current period information in a preset period, and acquiring all current period information of a current period in a preset information code table;
and comparing the current period information with the current period information to obtain newly-added information in a preset period.
5. An information configuration apparatus, characterized in that the information configuration apparatus comprises: memory, a processor and an information configuration program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the information configuration method according to any one of claims 1 to 4.
6. A storage medium having stored thereon an information configuration program which, when executed by a processor, implements the steps of the information configuration method according to any one of claims 1 to 4.
7. An information configuration apparatus, characterized in that the information configuration apparatus comprises:
the acquisition module is used for acquiring the newly-added information in a preset period;
the classification module is used for classifying the newly added information according to the service types to obtain first in-pair information corresponding to each service type respectively;
the classification module is further used for classifying the first information in the pair through an external information classification model to obtain a target external information classification table, and the target external information classification table comprises target first level information and corresponding target sub-level information;
the uploading module is used for uploading the target external information classification table to the supervision system according to the matching condition of the target first-level information and the report attribute information in the supervision system, and the supervision system is used for supervising the compliance of the information;
the classification module is further configured to send each pair of in-pair first information to a service docking user of a corresponding service department, so that the service docking user checks the pair of in-pair first information according to a preset rule; receiving verification information fed back by each service interfacing user, and adjusting each pair of inner first information according to the verification information to obtain pair inner second information; classifying the second information in the pair through an external information classification model to obtain a target external information classification table; acquiring subdivision information corresponding to each service type, traversing the newly-added information, and taking the traversed newly-added information as current information; matching the current information with subdivision information corresponding to each service type; if the matching is successful, classifying the current information into intra-pair first information of the service type which is successfully matched; acquiring sample pair internal information and a corresponding sample pair external information classification table; training the convolutional neural network model according to the sample pair internal information and the corresponding sample pair external information classification table to obtain an external information classification model.
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