CN115495793A

CN115495793A - Multi-set problem secure transmission method, device, equipment and medium

Info

Publication number: CN115495793A
Application number: CN202211437216.5A
Authority: CN
Inventors: 常海峰; 陈海峰; 刘洋; 王星; 田彬彬
Original assignee: Zhongguancun Smart City Co Ltd
Current assignee: Zhongguancun Smart City Co Ltd
Priority date: 2022-11-17
Filing date: 2022-11-17
Publication date: 2022-12-20
Anticipated expiration: 2042-11-17
Also published as: CN115495793B

Abstract

The embodiment of the disclosure discloses a multi-set problem secure transmission method, a device, equipment and a medium. One embodiment of the method comprises: in response to receiving the problem set to be solved, performing problem verification on each problem to be solved; in response to determining that the verification result characterizes verification error-free, for each problem to be solved, performing the following information determination steps: determining the problem type and the area information of the problem to be solved; determining information of a responsible department of the problem to be solved and a problem processing level; determining corresponding keywords to obtain a keyword set; clustering the problem sets to be solved to obtain each problem cluster to be solved; determining a problem subset to be solved to be sent to a corresponding responsible department as a problem set to be sent; and for each problem to be sent, sending the problem to be sent and the corresponding problem processing level to the corresponding department information processing platform. The embodiment can efficiently process the problem to be solved received in the target time period.

Description

Multi-set problem safety sending method, device, equipment and medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a multi-set problem secure transmission method, device, equipment and medium.

Background

At present, various types of problems to be solved are often present for a plurality of people gathering areas (e.g., residential areas). For the treatment of the problem to be solved, the following methods are generally adopted: and the uploading personnel report the problems to be solved to the information processing platform so that the relevant information processing personnel can process the uploaded problems to be solved.

However, the inventors have found that when the problem to be solved is treated in the above manner, there are often the following technical problems:

firstly, the number of the problems to be solved uploaded by the uploading personnel may be massive, and the problems to be solved in the massive problems to be solved often have the same content, so that the efficiency of the relevant information processing personnel in processing the problems is low;

secondly, the privacy of the information of the uploading personnel cannot be effectively guaranteed, so that the problem of justice processing of the problem to be solved may exist when the information processing personnel process the information.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art in this country.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose a multi-set problem secure transmission method, apparatus, device and medium to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a multi-set problem secure transmission method, including: in response to a problem set to be solved, which is received by a regional information processing platform in a target time period and aims at a target region, carrying out problem verification on each problem to be solved in the problem set to be solved to obtain a verification result; in response to determining that the verification result represents that the problems to be solved are verified to be correct, for each problem to be solved in the problem set to be solved, performing the following information determination steps: determining the problem type and the area information corresponding to the problem to be solved; determining the information of a department in charge of the problem to be solved and the problem processing level according to the problem type and the area information; determining keywords corresponding to the problem to be solved to obtain a keyword set; clustering the problem sets to be solved according to problem types, area information and keyword sets corresponding to the problems to be solved to obtain problem clusters to be solved, wherein the number of the problem clusters to be solved in each problem cluster to be solved is generated based on the number of the problems to be solved in the problem sets to be solved; determining a subset of problems to be solved in the problem sets to be solved, which are to be sent to corresponding responsible departments, as a problem set to be sent according to the problem clusters to be solved, wherein the problem essence contents corresponding to the problems to be sent in the problem sets to be sent are different; and for each problem to be sent in the problem set to be sent, sending the problem to be sent and the problem processing level corresponding to the problem to be sent to a corresponding department information processing platform associated with department information, so that relevant department information processing personnel can perform problem processing on the problem to be sent according to the problem processing level.

In a second aspect, some embodiments of the present disclosure provide a multiple set problem secure transmission apparatus, including: the problem checking unit is configured to respond to a problem set to be solved, received by the regional information processing platform in a target time period and aiming at a target region, and carry out problem checking on each problem to be solved in the problem set to be solved to obtain a checking result; an execution unit configured to, in response to determining that the verification result characterizes that the respective to-be-solved problems are verified to be error-free, for each to-be-solved problem in the to-be-solved problem set, execute the following information determination steps: determining the problem type and the area information corresponding to the problem to be solved; determining the information of a department in charge of the problem to be solved and the problem processing level according to the problem type and the area information; determining keywords corresponding to the problem to be solved to obtain a keyword set; the clustering unit is configured to cluster the problem sets to be solved according to the problem types, the region information and the keyword sets corresponding to the problems to be solved to obtain problem clusters to be solved, wherein the number of the problem clusters to be solved included in each problem cluster to be solved is generated based on the number of the problems to be solved included in the problem sets to be solved; a determining unit, configured to determine, according to each problem cluster to be solved, a subset of problems to be solved in the problem sets to be solved, which are to be sent to a corresponding responsible department, as a problem set to be sent, where problem essence contents corresponding to each problem to be sent in the problem sets to be sent are different; and the sending unit is configured to send the to-be-sent problem and a problem processing level corresponding to the to-be-sent problem to a department information processing platform associated with corresponding responsible department information for relevant department information processing personnel to perform problem processing on the to-be-sent problem according to the problem processing level for each to-be-sent problem in the to-be-sent problem set.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement a method as described in any implementation of the first aspect.

In a fourth aspect, some embodiments of the disclosure provide a computer readable medium having a computer program stored thereon, where the program when executed by a processor implements a method as described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: the problem to be solved received in the target time period can be efficiently solved through the multi-set problem security transmission method of some embodiments of the present disclosure. Specifically, the reason why the problem to be solved is not sufficiently processed is that: the number of the problems to be solved uploaded by the uploading personnel may be huge, and the problems to be solved in the huge number often have the same content, so that the efficiency of the related information processing personnel for processing the problems is low. Based on this, in the multi-set problem security sending method according to some embodiments of the present disclosure, first, in response to a problem set to be solved, which is received by a regional information processing platform in a target time period and is specific to a target region, a problem check is performed on each problem to be solved in the problem set to be solved, so as to obtain a check result. Here, the validity of the proposed problem to be solved is secured by performing problem verification on each problem to be solved in the above-described problem set to be solved. Then, in response to determining that the verification result represents that the problems to be solved are verified to be correct, for each problem to be solved in the problem set to be solved, executing the following information determination steps: the first step is to determine the problem type and the area information corresponding to the problem to be solved, so as to be used for generating the information of the subsequent responsible department and the problem processing level. And a second step of accurately determining the information of the department in charge of the problem to be solved and the problem processing level according to the problem type and the area information. And thirdly, determining the keywords corresponding to the problems to be solved to obtain a keyword set for clustering the problem set to be solved subsequently. And then, clustering the problem sets to be solved according to the problem types, the area information and the keyword sets corresponding to the problems to be solved to obtain each problem cluster to be solved. Here, the problems to be solved are clustered to classify the problems with similar characteristics, and each obtained problem cluster to be solved is used for subsequently determining a problem set to be sent. Further, according to each problem cluster to be solved, a problem subset to be solved in the problem set to be solved, which is to be sent to a corresponding responsible department, can be accurately determined as a problem set to be sent. The problem content is different among the problems to be sent in the problem set to be sent. Therefore, the problem subset to be solved, which is concentrated in the problems to be solved and is to be sent to the corresponding responsible department, is determined, the problems to be solved uploaded by the uploading personnel can be effectively solved, the problems to be solved are more, and the problems with the same content in the uploaded problems to be solved are solved, so that the problem processing amount of related personnel is greatly reduced, and the problem processing efficiency is improved. And finally, for each to-be-sent problem in the to-be-sent problem set, sending the to-be-sent problem and the problem processing level corresponding to the to-be-sent problem to a department information processing platform related to corresponding responsible department information, so that relevant department information processing personnel can efficiently process the to-be-sent problem according to the problem processing level. In summary, by clustering the problem sets to be solved to obtain each problem cluster to be solved, and determining the problem subsets to be solved in the problem sets to be solved, which are to be sent to the corresponding responsible department, as the problem sets to be sent, the processing efficiency of massive problems to be solved can be improved.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

Fig. 1 is a flow diagram of some embodiments of a multi-set problem secure transmission method according to the present disclosure;

FIG. 2 is a schematic block diagram of some embodiments of a multiple problem secure transmission apparatus according to the present disclosure;

FIG. 3 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Referring to fig. 1, a flow 100 of some embodiments of a multi-set problem security transmission method according to the present disclosure is shown. The multi-set problem safety sending method comprises the following steps:

step 101, responding to a problem set to be solved in a target area received by a regional information processing platform in a target time period, and performing problem verification on each problem to be solved in the problem set to be solved to obtain a verification result.

In some embodiments, in response to a problem set to be solved for a target area received by an area information processing platform within a target time period, an execution subject of the multi-set problem security transmission method may perform problem verification on each problem to be solved in the problem set to be solved to obtain a verification result. The area information processing platform may be a platform for processing information uploaded in the target area. The functions that can be realized by the regional information processing platform include but are not limited to at least one of the following: the system comprises an information receiving function, an information processing function and an information sending function. The information receiving function may be a function of receiving information uploaded by an uploading person. The information processing function may be a function of performing information processing on the uploaded information. The information transmission function may be a function of transmitting information after processing. The information uploaded by the uploading person may be the problem to be solved encountered by the uploading person in the target area. The target period may be a preset period. The problems to be solved in the problem set may be problems for each consulting area within the target area. The consultable domain may be a preset domain. That is, the regional information processing platform only allows an uploading person to upload problems related to each consultable field. For example, the advisory domain may be, but is not limited to, one of: the field of road construction and the field of house violation construction.

For example, the target area is Beijing. The regional information processing platform may be a platform for processing information with respect to information uploaded in the beijing city. The target time period may be "1/2022-2/1/day". The problem set to be solved may be a problem set to be solved and processed uploaded in the beijing city.

As an example, the execution subject may perform problem sensitivity check on each problem to be solved in the problem set through a sensitive vocabulary to obtain a check result.

In some optional implementation manners of some embodiments, the execution main body may perform validity check and responsibility check on each problem to be solved in the problem set to be solved, so as to obtain the check result.

The legality check of the problem to be solved may be a check of whether there is an illegal statement about the problem to be solved. The responsibility check of the problem to be solved can be to check whether the problem to be solved belongs to the problem which can be accepted by the regional information processing platform.

Step 102, in response to determining that the verification result represents that each of the problems to be solved is verified to be error-free, for each problem to be solved in the problem set to be solved, performing the following information determining step:

step 1021, determining the problem type and the area information corresponding to the problem to be solved.

In some embodiments, the execution subject may determine a problem type and area information corresponding to the problem to be solved. The problem type can represent identification information corresponding to a consultable field to which the problem to be solved belongs. For example, for the identification information being "1", characterizing the problem to be solved belongs to the field of road construction. The area information may be specific area information involved in the problem to be solved. The region corresponding to the region information is a sub-region in the target region. For example, the target area is Beijing. The region information corresponding region may be a western city area of beijing.

As an example, first, the execution subject may perform word segmentation processing on the problem to be solved to obtain a word set. Then, word embedding processing is carried out on each word in the word set to generate a word vector, and a word vector set is obtained. And then, inputting the word vector set into a problem type determination neural network to generate a problem type corresponding to the problem to be solved. The problem type determination neural network may be a neural network that determines a problem type corresponding to the problem to be solved. For example, the problem type determination Neural network may be a plurality of serially connected Convolutional Neural Networks (CNNs). Similarly, the word vector set is input to the area information extraction neural network to generate the area information corresponding to the problem to be solved. The area information extraction neural network may be a neural network that determines area information corresponding to a problem to be solved. For example, the region information extraction neural Network may be a plurality of serially connected Residual neural networks (resnets).

And 1022, determining the information of the department in charge of the problem to be solved and the problem processing level according to the problem type and the area information.

In some embodiments, the execution subject may determine the department of responsibility information and the problem processing level of the problem to be solved according to the problem type and the area information. The responsible department information may be department identification information of a department responsible for processing the problem to be solved. The issue processing level may characterize a priority processing level of the issue to be resolved. The higher the problem processing level is, the more preferential the corresponding personnel of the responsible department can process the problem.

For example, the issue processing level may be one of: a first processing level, a second processing level, and a third processing level. The first processing level has a higher priority than the second processing level. The second processing level has a higher priority than the third processing level.

As an example, the execution subject may determine the responsible department information of the problem to be solved through a responsible department information lookup table. The responsible department information lookup table can represent the corresponding association relationship between the area information and the responsible department information. The execution subject may determine the problem processing level corresponding to the problem to be solved in various ways.

In some optional implementation manners of some embodiments, the determining, according to the problem type and the area information, the information of the department in charge of the problem to be solved and the problem processing level may include the following steps:

first, type importance degree information of the problem type and area level degree information of the area information are determined.

As an example, the execution subject may determine the type importance level information of the question type through a type importance level table. The type importance degree table can represent the corresponding relation between the problem type and the type importance degree information.

Also, the execution body may determine the region level degree information of the region information through a region level degree table. The region level degree table may represent a corresponding relationship between the region information and the region level degree information.

And secondly, determining name coding information, contact information and identification card coding information of the person reporting the problem corresponding to the problem to be solved.

The problem reporting person name coding information may be information obtained by coding the problem reporting person name. The contact information may be encoded information of the contact. The identity card encoding information can be information obtained by encoding an identity card number.

The name, the contact way and the identity card number of the person reporting the problem are coded to realize an encryption effect, and the staff checking the regional information processing platform can trace the person according to the information.

Optionally, the regional information processing platform may encode the name, the contact information, and the identification number of the person reporting the problem by:

step 1, acquiring the name, contact way and identification number of a problem reporting person aiming at the problem reporting person.

And 2, setting a random array sequence aiming at the target time period. Wherein, the value of the random number is in a value range. For example, the random number may take on a value range of [5, 10]. There is a corresponding group identification for each random array. The value range corresponding to the random array is continuously changed along with different time periods. The specific modification is not limited herein. That is, due to the difference of the value ranges of the random arrays, a corresponding random array sequence exists in each time period.

For example, the random array sequence is { first random array, second random array, third random array }. The group identification corresponding to the first random number group may be "1". The group identification corresponding to the second random number group may be "2". The group identification corresponding to the third random number group may be "3". The first random array may be "1,2,3,4,5". The second random array may be "1,2,3,4,5". The third random array may be "1,2,3,4".

And 3, randomly extracting a preset number of random arrays from the random array sequence in a group identification drawing mode. Wherein the predetermined number is smaller than the group number of the random arrays included in the random array sequence.

For example, the predetermined number of random arrays includes: a first random array and a third random array.

Step 4, for each random array in the random arrays with the preset number, executing the following generation steps of the coding module:

the first substep, confirm the characteristic coding network that the above-mentioned random array corresponds to. And each random array in the random array sequence has a one-to-one corresponding feature coding network. The signature coding network may be a network that performs signature coding. The network structures of the feature coding networks corresponding to the random arrays are different from each other.

For example, the first random array corresponds to a first signature encoding network. The second random array corresponds to a second signature encoding network. The first feature encoding network may be a convolutional neural network. The second feature encoding network may be a residual network.

And a second substep of randomly extracting a number from the random array as a target number.

And a third substep, performing serial connection on the feature coding networks corresponding to the target number to obtain a feature coding model. Wherein the target number is the same as the target number.

And 5, performing model serial connection on the obtained feature coding model set according to the group identification corresponding to each random array in the random arrays with the preset number to obtain a connected coding model serving as an information coding model.

And 6, inputting the name, the contact way and the identity card number of the problem reporting person into the information coding model so as to output the name coding information, the contact way coding information and the identity card coding information of the problem reporting person.

The above step 1 to step 6 serve as an invention point of the present disclosure, and solve the second technical problem mentioned in the background art, that is, "the privacy of the information of the uploaded person cannot be effectively guaranteed, so that when the information processing person performs information processing, there may be a problem that the problem to be solved is just handled". Based on this, the disclosure first obtains the name, contact way and identification number of the problem reporting person for the problem reporting person, so as to facilitate the subsequent information encoding. And then, the randomness of the value range corresponding to each random array in the random array sequence is ensured by setting the random array sequence aiming at the target time period. Therefore, the uniqueness of the information coding model and the randomness of the included network are guaranteed subsequently. Then, a predetermined number of random arrays are randomly extracted from the random array sequence by the form of group identification drawing. Here, the randomness of the random array can be guaranteed through the form of group identification drawing, and the uniqueness of the information coding model and the randomness of the included network are further guaranteed. Then, for each random array of the predetermined number of random arrays, performing the following encoding module generating steps: the first substep, confirm the characteristic coding network that the above-mentioned random array corresponds, in order to use for confirming the characteristic coding model subsequently. And a second substep, randomly extracting a number from the random array as a target number to ensure the randomness of the network number of the feature coding network in the feature coding model. And a third substep, performing serial connection on the feature coding networks corresponding to the target number to obtain a feature coding model. And then, according to the group identification corresponding to each random array in the random arrays with the preset number, carrying out model serial connection on the obtained feature coding model set to obtain a connected coding model as an information coding model. The resulting information coding model has model properties of uniqueness and randomness of the included network. And finally, inputting the name, the contact way and the identification card number of the problem reporting person into the information coding model so as to output accurate and unique corresponding name coding information, contact way coding information and identification card coding information of the problem reporting person.

And thirdly, decoding the name coding information of the problem reporting personnel, the contact way coding information and the identity card coding information to obtain the name information, the contact way information and the identity card information of the problem reporting personnel.

As an example, first, the execution subject may determine an information coding network corresponding to the problem reporting person name coding information, the contact information coding information, and the identification card coding information as a target information coding network. Then, an information decoding network corresponding to the target information encoding network is searched for as a target information decoding network. And finally, inputting the name coding information of the problem reporting personnel, the contact way coding information and the identity card coding information into a target information decoding network to obtain the name information of the problem reporting personnel, the contact way information and the identity card information.

And fourthly, performing authenticity verification on the name information, the contact information and the identity card information of the person reporting the problems to generate an authenticity verification result.

As an example, the execution main body may perform authenticity check on the name information, the contact information, and the identification card information of the problem reporting person by retrieving the registration information of the person in the target area, which is pre-stored in the area information processing platform, and generate an authenticity check result.

And fifthly, generating the information of the importance degree of the personnel according to the authenticity verification result.

As an example, the first-level people importance information is generated in response to determining that the authenticity check result representation question reports that the people name information, the contact information, and the identification card information are consistent. And generating secondary personnel importance degree information in response to the fact that the authenticity verification result representation problem reporting personnel name information, contact information and identity card information do not accord. Wherein, the importance degree corresponding to the importance degree information of the first class personnel is higher than the importance degree corresponding to the importance degree information of the second class personnel.

And sixthly, determining the problem processing level of the problem to be solved according to the personnel importance degree information, the type importance degree information and the region level degree information.

As an example, first, a correspondence table for the person importance degree information, the type importance degree information, the area level degree information, and the question processing level is acquired. Then, the problem processing level of the problem to be solved is determined according to the corresponding relation table.

And 1023, determining the keywords corresponding to the problem to be solved to obtain a keyword set.

In some embodiments, the execution subject may determine a keyword corresponding to the problem to be solved, to obtain a keyword set.

As an example, the execution body may determine a keyword corresponding to the problem to be solved by using a keyword extraction (TextRank) model based on a word graph model, so as to obtain a keyword set.

As another example, the execution subject may determine a keyword corresponding to the problem to be solved through an LDA (Latent Dirichlet Allocation) document topic generation model, so as to obtain a keyword set.

And 103, clustering the problem sets to be solved according to the problem types, the area information and the keyword sets corresponding to the problems to be solved to obtain problem clusters to be solved.

In some embodiments, the execution subject may cluster the problem sets to be solved in various ways according to the problem type, the area information, and the keyword set corresponding to each problem to be solved, so as to obtain each problem cluster to be solved. The number of clusters to be solved included in each cluster to be solved is generated based on the number of problems to be solved included in the set of problems to be solved. The problem types corresponding to the problems to be solved in each problem cluster to be solved are the same, the regional information is the same, the keywords are similar, and the related problem topics are similar.

In some optional implementation manners of some embodiments, the clustering the problem sets to be solved according to the problem type, the area information, and the keyword set corresponding to each problem to be solved to obtain each problem cluster to be solved may include the following steps:

the first step, according to the problem type corresponding to each problem to be solved, the problem set to be solved is divided into a plurality of problem groups to be solved.

The problem types corresponding to the problems to be solved in each problem group to be solved in the plurality of problem groups to be solved are the same.

And secondly, dividing each problem group to be solved in the plurality of problem groups to be solved according to the regional information to generate a problem subgroup set to be solved and obtain a plurality of problem subgroup sets to be solved.

And the area information corresponding to each problem to be solved in each problem to be solved subgroup is the same.

Thirdly, executing the following problem cluster generating steps for each problem subgroup to be solved in the plurality of problem subgroup sets to be solved:

a first sub-step of determining the number of problems to be solved included in the problem to be solved subgroup as a first number of problems.

And a second substep, performing word embedding processing on the keyword set corresponding to each problem to be solved in the problem to be solved subgroup to obtain a keyword vector set and obtain a keyword vector set group in response to the fact that the number of the first problems is larger than or equal to the first number.

Wherein the first number may be preset. For example the first number may be 10.

And a third substep of clustering each problem to be solved in the problem to be solved subgroup according to the keyword vector set group to obtain a problem to be solved cluster set.

As an example, the executing entity may perform clustering processing on each problem to be solved in the problem to be solved subgroup according to the keyword vector set group by using a K-Means algorithm, so as to obtain a problem to be solved cluster.

A fourth substep of determining the subset of problems to be solved as the cluster of problems to be solved in response to determining that the first number of problems is less than the first number.

And fourthly, determining the obtained multiple problem clusters to be solved as the problem clusters to be solved.

And step 104, determining a to-be-solved problem subset to be sent to a corresponding responsible department in the to-be-solved problem set as a to-be-sent problem set according to each to-be-solved problem cluster.

In some embodiments, the execution main body may determine, according to each of the to-be-solved problem clusters, a to-be-solved problem subset to be sent to a corresponding responsible department in the to-be-solved problem set in various ways as a to-be-sent problem set. The problem to be sent can be a problem to be sent to the corresponding department information processing platform.

In some optional implementation manners of some embodiments, the determining, according to each to-be-solved problem cluster, a to-be-solved problem subset to be sent to a corresponding responsible department in the to-be-solved problem set as the to-be-sent problem set may include the following steps:

the first step, for each problem cluster to be solved in the problem clusters to be solved, executing the following problem subset determining steps:

a first substep of determining the number of problems to be solved included in the above cluster of problems to be solved as a second number of problems.

And a second sub-step of determining a cluster center problem in the cluster of problems to be solved and determining the cluster center problem as a problem to be sent in response to determining that the second number of problems is smaller than the second number.

And a third substep of clustering the clusters of the problems to be solved in response to the determination that the number of the second problems is greater than or equal to the second number to obtain a cluster set of clustering problems, and continuing to execute the step of determining the subset of the problems to be solved by using the cluster set of clustering problems as each cluster of the problems to be solved.

And secondly, determining each obtained problem to be sent as a problem set to be sent.

And 105, for each to-be-sent problem in the to-be-sent problem set, sending the to-be-sent problem and a problem processing level corresponding to the to-be-sent problem to a department information processing platform associated with corresponding responsible department information, so that relevant department information processing personnel can perform problem processing on the to-be-sent problem according to the problem processing level.

In some embodiments, the execution main body may send, for each to-be-sent question in the to-be-sent question set, the to-be-sent question and a question processing level corresponding to the to-be-sent question to a department information processing platform associated with corresponding responsible department information, so that relevant department information processing personnel perform question processing on the to-be-sent question according to the question processing level. The department information processing platform is in one-to-one correspondence with the responsible department information. The department information processing platform may be a platform that processes information transmitted by the regional information processing platform. Department information processing personnel can perform problem processing on the problem to be sent on the department information processing platform according to the level priority of the problem processing level.

In some optional implementations of some embodiments, after step 105, the steps further include:

in a first step, in response to determining that the verification result represents that there is a problem to be solved that fails to pass the verification among the problems to be solved, the execution subject may determine at least one problem to be solved that fails to pass the verification in a query manner.

A second step of, for each of the at least one problem to be solved, performing an information transmission step:

and a substep 1 of determining a failure reason corresponding to the problem to be solved.

As an example, first, the execution subject may determine a reason why the non-verification corresponding to the problem to be solved passes. Then, the reason why the taste check passed is determined as the above-mentioned failure reason.

And a substep 2 of generating a text in a predetermined format for the failure reason.

As an example, the execution subject may fill in the failure cause to an initial text of a predetermined format, resulting in a text for the failure cause.

And a substep 3, sending the text to a mobile terminal associated with a problem reporting person corresponding to the problem to be solved in a preset sending mode.

The predetermined sending mode may be a short message sending mode. The mobile terminal may be a mobile phone terminal of a problem reporting person.

Optionally, the area information processing platform is associated with a plurality of department information processing platforms. For example, the target area corresponding to the area information processing platform is beijing. The plurality of department information processing platforms include: the system comprises a first department information processing platform, a second department information processing platform, a third department information processing platform and a fourth department information processing platform. The area corresponding to the first department information processing platform may be an eastern city area. The area corresponding to the second department information processing platform can be a western city area. The area corresponding to the third department information processing platform can be a sea area. The area corresponding to the fourth door information processing platform may be a sunny-facing area.

in the first step, in response to receiving a question reply information set and a corresponding question reply certification information set for a question set to be sent, which are sent by the plurality of department information processing platforms, the question reply information set and the question reply certification information set are reviewed.

The questions to be sent in the question set to be sent and the question response information in the question response information set have a one-to-one correspondence relationship. The question answering information may be question processing information obtained after a question to be sent is subjected to question processing. The issue processing information may include: a processing result of the problem to be sent and a processing mode of the problem to be sent. The question answering information in the question answering information set and the question answering certification information in the question answering information set have a one-to-one correspondence relationship. The question-answer certification information may be certification material information that the question to be sent has been processed. For example, the question response certification information may be video material after the question is processed, and may also be photo material after the question is processed.

And secondly, in response to the fact that the question reply information set and the question reply certification information set are approved, sending each question reply information in the question reply information set to a mobile terminal associated with a corresponding question reporter in a form of a text with a preset format, and storing the question reply information set and the question reply certification information set in a key value pair form.

The above embodiments of the present disclosure have the following beneficial effects: the problem to be solved received in the target time period can be efficiently solved through the multi-set problem security transmission method of some embodiments of the present disclosure. Specifically, the reason why the problem to be solved is not sufficiently processed is that: the number of the problems to be solved uploaded by the uploading personnel may be huge, and the problems to be solved in the huge number often have the same content, so that the efficiency of the related information processing personnel for processing the problems is low. Based on this, in the multi-set problem security sending method according to some embodiments of the present disclosure, first, in response to a to-be-solved problem set received by a regional information processing platform in a target time period and specific to a target region, problem verification is performed on each to-be-solved problem in the to-be-solved problem set, so as to obtain a verification result. Here, the validity of the proposed problem to be solved is secured by performing problem verification on each problem to be solved in the above-described problem set to be solved. Then, in response to determining that the verification result represents that the problems to be solved are verified to be correct, for each problem to be solved in the problem set to be solved, executing the following information determination steps: the first step is to determine the problem type and the area information corresponding to the problem to be solved, so as to be used for generating the information of the subsequent responsible department and the problem processing level. And a second step of accurately determining the information of the department in charge of the problem to be solved and the problem processing level according to the problem type and the area information. And thirdly, determining the keywords corresponding to the problems to be solved to obtain a keyword set for clustering the problem set to be solved subsequently. And then, clustering the problem sets to be solved according to the problem types, the area information and the keyword sets corresponding to the problems to be solved to obtain each problem cluster to be solved. Here, the problems to be solved are clustered to classify the problems with similar characteristics, and each obtained problem cluster to be solved is used for subsequently determining a problem set to be sent. Further, according to each problem cluster to be solved, a problem subset to be solved in the problem set to be solved, which is to be sent to a corresponding responsible department, can be accurately determined as a problem set to be sent. The problem content is different among the problems to be sent in the problem set to be sent. Therefore, the problem subset to be solved, which is concentrated in the problems to be solved and is to be sent to the corresponding responsible department, is determined, the problems to be solved uploaded by the uploading personnel can be effectively solved, the problems to be solved are more, and the problems with the same content in the uploaded problems to be solved are solved, so that the problem processing amount of related personnel is greatly reduced, and the problem processing efficiency is improved. And finally, for each to-be-sent problem in the to-be-sent problem set, sending the to-be-sent problem and the problem processing level corresponding to the to-be-sent problem to a department information processing platform related to corresponding responsible department information, so that relevant department information processing personnel can efficiently process the to-be-sent problem according to the problem processing level. In summary, by clustering the problem sets to be solved to obtain each problem cluster to be solved, and determining the problem subsets to be solved in the problem sets to be solved, which are to be sent to corresponding responsible departments, as the problem sets to be sent, the processing efficiency of a large number of problems to be solved can be improved.

With further reference to fig. 2, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a multiple set problem secure transmission apparatus, which correspond to those shown in fig. 1, and which may be applied in various electronic devices in particular.

As shown in fig. 2, a multiple set problem secure transmission apparatus 200 includes: the problem checking unit 201, the execution unit 202, the clustering unit 203, the determination unit 204 and the sending unit 205. The problem checking unit 201 is configured to, in response to a problem set to be solved for a target area, received by the area information processing platform within a target time period, perform problem checking on each problem to be solved in the problem set to be solved to obtain a checking result; an executing unit 202, configured to, in response to determining that the verification result represents that the respective to-be-solved problems are verified to be error-free, for each to-be-solved problem in the to-be-solved problem set, execute the following information determining steps: determining the problem type and the area information corresponding to the problem to be solved; determining the information of a department in charge of the problem to be solved and the problem processing level according to the problem type and the area information; determining keywords corresponding to the problem to be solved to obtain a keyword set; a clustering unit 203 configured to cluster the problem sets to be solved according to the problem type, the region information and the keyword set corresponding to each problem to be solved, so as to obtain each problem cluster to be solved, wherein the number of the problem clusters to be solved included in each problem cluster to be solved is generated based on the number of the problems to be solved included in the problem sets to be solved; a determining unit 204, configured to determine, according to each problem cluster to be solved, a problem subset to be solved in the problem set to be solved, which is to be sent to a corresponding responsible department, as a problem set to be sent; a sending unit 205, configured to send, for each question to be sent in the set of questions to be sent, the question to be sent and a question processing level corresponding to the question to be sent to a department information processing platform associated with corresponding responsible department information, so that relevant department information processing personnel perform question processing on the question to be sent according to the question processing level.

It is to be understood that the units recited in the multiple problem secure transmission apparatus 200 correspond to the respective steps in the method described with reference to fig. 1. Thus, the operations, features and resulting advantages described above for the method are also applicable to the multiple problem secure transmitting apparatus 200 and the units included therein, and are not described herein again.

Referring now to fig. 3, a block diagram of an electronic device (e.g., electronic device) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to a problem set to be solved, which is received by a regional information processing platform in a target time period and is specific to a target region, performing problem verification on each problem to be solved in the problem set to be solved to obtain a verification result; in response to determining that the verification result represents that the problems to be solved are verified to be correct, for each problem to be solved in the problem set to be solved, performing the following information determination steps: determining the problem type and the area information corresponding to the problem to be solved; determining the information of a department in charge of the problem to be solved and the problem processing level according to the problem type and the area information; determining keywords corresponding to the problem to be solved to obtain a keyword set; clustering the problem sets to be solved according to the problem types, the area information and the keyword sets corresponding to the problems to be solved to obtain problem clusters to be solved, wherein the number of the problem clusters to be solved, which are included in the problem clusters to be solved, is generated based on the number of the problems to be solved, which are included in the problem sets to be solved; determining a subset of problems to be solved in the problem sets to be solved, which are to be sent to corresponding responsible departments, as a problem set to be sent according to the problem clusters to be solved, wherein the problem essence contents corresponding to the problems to be sent in the problem sets to be sent are different; and for each problem to be sent in the problem set to be sent, sending the problem to be sent and the problem processing level corresponding to the problem to be sent to a department information processing platform related to corresponding responsible department information, so that relevant department information processing personnel can perform problem processing on the problem to be sent according to the problem processing level.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes a problem checking unit, an execution unit, a clustering unit, a determination unit, and a transmission unit. The names of the units do not form a limitation on the units themselves in some cases, for example, the determining unit may also be described as "determining, according to each problem cluster to be solved, a subset of the problems to be solved in the problem set to be solved, which is to be sent to the corresponding responsible department, as a unit of the problem set to be sent".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. A multiple set problem secure transmission method, comprising:

in response to a problem set to be solved, which is received by a regional information processing platform in a target time period and aims at a target region, carrying out problem verification on each problem to be solved in the problem set to be solved to obtain a verification result;

in response to determining that the verification result represents that the respective to-be-solved problems are verified to be error-free, for each to-be-solved problem in the to-be-solved problem set, performing the following information determination steps:

determining a problem type and area information corresponding to the problem to be solved;

determining information of a department in charge of the problem to be solved and a problem processing level according to the problem type and the area information;

determining keywords corresponding to the problem to be solved to obtain a keyword set;

clustering the problem sets to be solved according to problem types, area information and keyword sets corresponding to the problems to be solved to obtain problem clusters to be solved, wherein the number of the problem clusters to be solved in each problem cluster to be solved is generated based on the number of the problems to be solved in the problem sets to be solved;

determining a subset of problems to be solved in the problem sets to be solved, which are to be sent to corresponding responsible departments, as a problem set to be sent according to the problem clusters to be solved, wherein the problem essence contents corresponding to the problems to be sent in the problem sets to be sent are different;

and for each to-be-sent problem in the to-be-sent problem set, sending the to-be-sent problem and a problem processing level corresponding to the to-be-sent problem to a corresponding department information processing platform associated with department information, so that relevant department information processing personnel can perform problem processing on the to-be-sent problem according to the problem processing level.

2. The method of claim 1, wherein the performing problem checking on each problem to be solved in the set of problems to be solved to obtain a checking result comprises:

and carrying out validity check and responsibility check on each problem to be solved in the problem set to be solved to obtain the check result.

3. The method of claim 1, wherein the method further comprises:

in response to the fact that the verification result represents that the problems to be solved which do not pass the verification exist in the problems to be solved, determining at least one problem to be solved which does not pass the verification;

for each of the at least one problem to be solved, performing an information sending step:

determining a failure reason corresponding to the problem to be solved;

generating text in a predetermined format for the failure reason;

and sending the text to a mobile terminal associated with a problem reporting person corresponding to the problem to be solved in a preset sending mode.

4. The method of claim 1, wherein the determining, according to the problem type and the area information, department of responsibility information and a problem processing level of the problem to be solved comprises:

determining type importance degree information of the problem type and region level degree information of the region information;

determining name coding information, contact information coding information and identification card coding information of a problem reporting person corresponding to the problem to be solved;

decoding the name coding information, the contact information and the identity card coding information of the problem reporting personnel to obtain the name information, the contact information and the identity card information of the problem reporting personnel;

performing authenticity verification on the name information, the contact information and the identity card information of the problem reporting personnel to generate an authenticity verification result;

generating personnel importance degree information according to the authenticity verification result;

and determining the problem processing level of the problem to be solved according to the personnel importance level information, the type importance level information and the region level degree information.

5. The method according to claim 1, wherein the clustering the problem sets to be solved according to the problem types, the regional information and the keyword sets corresponding to each problem to be solved to obtain each problem cluster to be solved comprises:

dividing the problem set to be solved into a plurality of problem groups to be solved according to the problem type corresponding to each problem to be solved;

dividing each problem group to be solved in the plurality of problem groups to be solved according to the area information to generate a problem subgroup set to be solved and obtain a plurality of problem subgroup sets to be solved;

for each sub-group of problems to be solved in the plurality of sub-groups of problems to be solved, performing the following cluster generation steps of problems to be solved:

determining the number of the problems to be solved included in the problem subgroup to be solved as a first problem number;

performing word embedding processing on a keyword set corresponding to each problem to be solved in the problem subgroup to be solved in response to the fact that the number of the first problems is larger than or equal to the first number, so as to obtain a keyword vector set, and obtain a keyword vector set group;

according to the keyword vector set group, clustering each problem to be solved in the problem subgroup to be solved to obtain a problem cluster to be solved;

in response to determining that the first number of problems is less than the first number, determining the subset of problems to be solved as a cluster of problems to be solved;

and determining the obtained multiple problem clusters to be solved as the problem clusters to be solved.

6. The method according to claim 1, wherein the determining, according to the respective problem clusters to be solved, a subset of problems to be solved in the problem sets to be solved to be sent to a corresponding responsible department as a problem set to be sent comprises:

for each to-be-solved problem cluster in the to-be-solved problem clusters, executing the following to-be-solved problem subset determination steps:

determining the number of the problems to be solved included in the problem cluster to be solved as a second number of the problems;

in response to determining that the second number of problems is less than a second number, determining a cluster center problem in the cluster of problems to be solved, and determining the cluster center problem as a problem to be sent;

in response to the fact that the number of the second problems is larger than or equal to the second number, clustering the clusters of the problems to be solved to obtain a cluster set of clustering problems, taking the cluster set of clustering problems as each cluster of the problems to be solved, and continuing to execute the step of determining the subset of the problems to be solved;

and determining each obtained problem to be sent as a problem set to be sent.

7. The method of claim 1, wherein the regional information processing platform associates a plurality of department information processing platforms; and

the method further comprises the following steps:

in response to receiving a question reply information set and a corresponding question reply certification information set which are sent by the multiple department information processing platforms and aim at the question set to be sent, auditing the question reply information set and the question reply certification information set;

and in response to the fact that the question reply information set and the question reply certification information set are approved, sending each question reply information in the question reply information set to a mobile terminal associated with a corresponding question reporting person in a form of a text with a preset format, and storing the question reply information set and the question reply certification information set in a key value pair form.

8. A multiple set problem secure transmission apparatus comprising:

the problem checking unit is configured to respond to a problem set to be solved in a target area received by the area information processing platform in a target time period, and carry out problem checking on each problem to be solved in the problem set to be solved to obtain a checking result;

an execution unit configured to, in response to determining that the verification result characterizes the respective to-be-solved problem to be verified error-free, for each to-be-solved problem in the set of to-be-solved problems, perform the following information determination steps: determining a problem type and area information corresponding to the problem to be solved; determining the information of a department in charge of the problem to be solved and the problem processing level according to the problem type and the regional information; determining keywords corresponding to the problem to be solved to obtain a keyword set;

the clustering unit is configured to cluster the problem sets to be solved according to the problem types, the region information and the keyword sets corresponding to the problems to be solved to obtain problem clusters to be solved, wherein the number of the problem clusters to be solved included in each problem cluster to be solved is generated based on the number of the problems to be solved included in the problem sets to be solved;

a determining unit, configured to determine, according to each to-be-solved problem cluster, a to-be-solved problem subset to be sent to a corresponding responsible department in the to-be-solved problem set as a to-be-sent problem set, where essential content of problems corresponding to each to-be-sent problem in the to-be-sent problem set is different;

and the sending unit is configured to send the to-be-sent problem and a problem processing level corresponding to the to-be-sent problem to a department information processing platform related to corresponding responsible department information for relevant department information processing personnel to perform problem processing on the to-be-sent problem according to the problem processing level for each to-be-sent problem in the to-be-sent problem set.

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.