CN113205442A

CN113205442A - E-government data feedback management method and device based on block chain

Info

Publication number: CN113205442A
Application number: CN202110561875.9A
Authority: CN
Inventors: 余登奎
Original assignee: Shanghai Xinmin Electronic Technology Co ltd
Current assignee: Shanghai Xinmin Electronic Technology Co ltd
Priority date: 2021-05-23
Filing date: 2021-05-23
Publication date: 2021-08-03

Abstract

The application relates to an electronic government affair data feedback management method and device based on a block chain, wherein when the current government affairs are pushed, current crowd opinion feedback data collected by information collecting ports of all levels of functional departments are obtained; classifying each current crowd opinion feedback data based on the specific data label of each current crowd opinion feedback data, and generating a feedback data classification set; extracting actual feedback opinions in each feedback data classification set, and sorting the opinions according to the opinion similarity of each actual feedback opinion; and respectively sending the key attention feedback opinions to all levels of functional departments and generating feedback opinion prompting instructions. The invention realizes the high-efficiency management of the data of the electronic government affairs, and utilizes the block chain technology to realize the non-falsification type storage of the data of the electronic government affairs, thereby optimizing the technical effect of the government affair processing efficiency of the functional department.

Description

E-government data feedback management method and device based on block chain

Technical Field

The application relates to the technical field of computers, in particular to an electronic government affair data feedback management method and device based on a block chain.

Background

The block chain is an important concept of the bitcoin, is essentially a decentralized database, and is used as a bottom-layer technology of the bitcoin, and is a series of data blocks which are generated by correlation by using a cryptographic method, wherein each data block contains information of a batch of bitcoin network transactions for verifying the validity (anti-counterfeiting) of the information and generating a next block. Broadly, the blockchain technique is a completely new distributed infrastructure and computing approach that utilizes blockchain data structures to verify and store data, utilizes distributed node consensus algorithms to generate and update data, utilizes cryptography to secure data transmission and access, and utilizes intelligent contracts composed of automated script code to program and manipulate data.

As the blockchain technology is developed, the blockchain technology is gradually applied to e-government affairs, and the definition of e-government affairs is many and is continuously updated as the practice is developed. The united nations economic and social council defines the electronic government as a mode for organizing public management by intensive and strategic application of information and communication technical means by governments, aims to improve efficiency, enhance the transparency of the governments, improve financial constraints, improve the quality of public policies and the scientificity of decisions, establish good relations among the governments, between the governments and the society, between communities and between the governments and the citizens, improve the quality of public services and win wide social participation.

The world bank considers that the major concern of the electronic government is the use of information technology by government agencies, which endow government departments with unique capabilities to transform their relationships with citizens, businesses, and government departments. These techniques may serve different purposes, providing more effective government services to citizens, improving government relations with businesses and industries, better fulfilling the rights of the citizens by utilizing information, and increasing government regulatory efforts. The revenue generated thereby may reduce spoilage, provide transparency, facilitate government services, increase government revenue, or reduce government operating costs.

However, there is no good technical solution in the market at present to combine the block chain and the e-government affairs well, that is, there is a problem that data management is not efficient enough when the block chain and the e-government affairs are combined in the market at present.

Disclosure of Invention

In view of the above, it is necessary to provide a block chain-based e-government data feedback management method and apparatus capable of realizing efficient e-government data management.

The technical scheme of the invention is as follows:

a block chain-based E-government data feedback management method comprises the following steps:

when the current government affairs is carried out, current crowd opinion feedback data collected by the information collecting ports of the functional departments at all levels are obtained, wherein the current crowd opinion feedback data collected by the information collecting ports of the functional departments at one level have the same specific data label; classifying each current crowd opinion feedback data based on the specific data label of each current crowd opinion feedback data, and generating a feedback data classification set, wherein one current crowd opinion feedback data corresponds to one feedback data classification set; extracting actual feedback opinions in each feedback data classification set, sorting the opinions according to the opinion similarity of each actual feedback opinion, screening out one type of actual feedback opinions with the highest similarity after sorting, and setting the actual feedback opinions as key attention type feedback opinions; and respectively sending the key attention type feedback opinions to all levels of functional departments, and generating a feedback opinion prompting instruction, wherein the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back a current opinion initial solution report fed back aiming at the actual feedback opinions in a specific time, and after the current opinion initial solution report is obtained, chaining the key attention type feedback opinions and the corresponding current opinion initial solution report on the basis of a block chain technology in a mode of linking and storing evidence.

Specifically, the key concern feedback opinions are respectively sent to all levels of functional departments, and a feedback opinion prompting instruction is generated and used for prompting all levels of functional departments to feed back current opinion initial resolution reports fed back aiming at the actual feedback opinions within a specific time, and after the current opinion initial resolution reports are obtained, the key concern feedback opinions and the corresponding current opinion initial resolution reports are linked in a link evidence storage mode based on a block chain technology; then also comprises the following steps:

after each level of functional departments feed back a current opinion initial solution report fed back aiming at the actual feedback opinions within a specific time, a feedback information VR collecting platform is constructed, and current initial VR interactive feedback data of the masses after receiving the current opinion initial solution report is obtained based on the feedback information VR collecting platform; according to the obtained current initial VR interactive feedback data, performing data screening separation on the current initial VR interactive feedback data, and generating current interactive audio feedback information and current interactive video feedback information after the data screening separation is completed; importing the current interactive audio feedback information into a preset audio data extraction model, carrying out audio data filtering processing on the current interactive audio feedback information in the audio data extraction model, and acquiring current audio filtered data; importing the current interactive video feedback information into a preset video data extraction model, carrying out video data filtering processing on the current interactive video feedback information in the video data extraction model, and acquiring current video filtered data; based on the obtained current audio filtered data, the current video filtered data and the current opinion initial resolution report, performing data analysis processing on the current audio filtered data, the current video filtered data and the current opinion initial resolution report, and generating a current department processing opinion feedback result report after the data analysis processing is completed; extracting a crowd satisfaction actual value from the current department processing opinion feedback result report according to the current department processing opinion feedback result report; comparing the extracted actual value of the crowd satisfaction with a preset standard satisfaction threshold value based on the extracted actual value of the crowd satisfaction, and judging whether the actual value of the crowd satisfaction reaches the preset standard satisfaction threshold value or not; and when the actual value of the crowd satisfaction does not reach the preset standard satisfaction threshold, generating an opinion resolution upward moving instruction, and sending the current opinion initial resolution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the actual value of the crowd satisfaction to a superior function management department based on the opinion resolution upward moving instruction.

Specifically, when the current government affairs is carried out, current crowd opinion feedback data collected by the information collecting ports of the functional departments at all levels are obtained, wherein the current crowd opinion feedback data collected by the information collecting ports of the functional departments at one level have the same specific data label; the method specifically comprises the following steps:

when a current government affair is pushed, establishing a current government affair support rate voting platform aiming at the execution feasibility degree of the current government affair pushing, and setting voting indication information on the current government affair support rate voting platform; obtaining voting data for voting on the current government affair support rate voting platform according to the voting indication information, and generating a current voting result according to the voting data; carrying out intelligent classification processing on the current voting result, and generating current government affair support opinion data and current government affair objection opinion data after the intelligent classification processing is finished; screening out the population main quantity of the current government objection opinion data provider according to the current government objection opinion data, and recording the population main quantity as an objection population quantity; acquiring the total population number of a place where the current government affairs are carried out, calculating the percentage of the total population number occupied by the objection population number based on the objection population number and the total population number, and recording the percentage as the current objection population weight; establishing an objection opinion database according to the screened current government objection opinion data, establishing a unique link relation between the objection opinion database and the current objection population weight, and generating a current government promotion acceptance value based on the unique link relation, wherein the current government promotion acceptance value is used for measuring the acceptance degree of the masses at the current government promotion location to the current government; packing the current voting results, the current government support opinion data, the current government objection opinion data, objection population weight and the current government performance acceptance value and generating the current crowd opinion feedback data.

Specifically, when the mass satisfaction actual value does not reach a preset standard satisfaction threshold, an opinion resolution move-up instruction is generated, and the current opinion initial resolution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the mass satisfaction actual value are sent to a superior function management department based on the opinion resolution move-up instruction, and then the method further comprises the following steps:

after the current opinion initial solution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the crowd satisfaction actual value are sent to a previous level of function management department, adjusted government affair pushing data released by the previous level of function management department is obtained; comparing the adjusted government affair execution data with the current opinion initial solution report, and generating a policy similarity weight, wherein the policy similarity weight is used for measuring the similarity and the adjustment proportion between the adjusted government affair execution data and the current opinion initial solution report; generating a government affair execution approval request instruction according to the policy similarity weight, and sending the government affair execution approval request instruction to a first high-level function department and a second high-level function department, wherein the function grades of the first high-level function department and the second high-level function department are higher than that of the previous function management department; respectively acquiring policy execution feedback indication data of the first high-level functional department and the second high-level functional department, wherein the policy execution feedback indication data of the first high-level functional department is first execution indication data, and the policy execution feedback indication data of the second high-level functional department is second execution indication data; judging whether the first execution indication data and the second execution indication data are the same; and if the first execution instruction data is the same as the second execution instruction data, generating a current government affairs permission execution instruction, and sending the current government affairs permission execution instruction to the previous-level function management department, wherein the current government affairs permission execution instruction is used for guiding the previous-level function management department to execute the corresponding adjusted government affairs in the adjusted government affairs pushing data according to the first execution instruction data and the second execution instruction data.

Specifically, the determining whether the first execution instruction data and the second execution instruction data are the same further includes:

if the first execution indicating data is judged to be different from the second execution indicating data, generating a current policy delay execution instruction; based on the time point of generating the current policy deferred execution instruction, sequentially uploading the adjusted government affair pushing data corresponding to each current policy deferred execution instruction to a pre-established government affair data storage library to be executed according to the time sequence; arranging each adjusted government affair pushing data and a specific position in the to-be-executed government affair data storage library according to the sequence of storage time, and generating a to-be-processed government affair data sequence set; and generating a to-be-processed affair display interface according to the to-be-processed government affair data sequence set, wherein the to-be-processed affair display interface is used for displaying each adjusted government affair pushing data in the to-be-processed government affair data sequence set.

Specifically, an electronic government affair data feedback management device based on a block chain comprises the following components:

the system comprises a government affair pushing module, a group opinion receiving module and a group opinion analyzing module, wherein the government affair pushing module is used for acquiring current group opinion feedback data collected by information collecting ports of all levels of functional departments when the current government affairs are pushed, and the current group opinion feedback data collected by the information collecting ports of the one level of functional departments have the same specific data label;

the feedback data module is used for classifying each current crowd opinion feedback data based on the specific data label of each current crowd opinion feedback data and generating a feedback data classification set, wherein one current crowd opinion feedback data corresponds to one feedback data classification set;

the actual feedback module is used for extracting actual feedback opinions in each feedback data classification set, conducting similarity ranking according to the opinion similarity of each actual feedback opinion, screening out one type of actual feedback opinions with the highest similarity after ranking, and setting the actual feedback opinions as key attention type feedback opinions;

and the key attention module is used for respectively sending the key attention type feedback opinions to all levels of functional departments and generating a feedback opinion prompting instruction, wherein the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back a current opinion initial solution report fed back aiming at the actual feedback opinions in a specific time, and after the current opinion initial solution report is obtained, the key attention type feedback opinions and the corresponding current opinion initial solution report are linked in a link evidence storage mode based on a block chain technology.

Specifically, the apparatus further comprises:

the solution report module is used for constructing a feedback information VR collection platform after each level of functional departments feed back a current opinion initial solution report aiming at the actual feedback opinion feedback within a specific time, and acquiring current initial VR interaction feedback data of the masses after receiving the current opinion initial solution report based on the feedback information VR collection platform;

the screening and separating module is used for screening and separating the current initial VR interactive feedback data according to the obtained current initial VR interactive feedback data, and generating current interactive audio feedback information and current interactive video feedback information after the data screening and separating are completed;

the extraction model module is used for importing the current interactive audio feedback information into a preset audio data extraction model, carrying out audio data filtering processing on the current interactive audio feedback information in the audio data extraction model, and acquiring current audio filtered data;

the information import module is used for importing the current interactive video feedback information into a preset video data extraction model, carrying out video data filtering processing on the current interactive video feedback information in the video data extraction model, and acquiring data after current video filtering;

an audio filtering module, configured to perform data analysis processing on the current audio filtered data, the current video filtered data, and the current opinion initial resolution report based on the obtained current audio filtered data, the current video filtered data, and the current opinion initial resolution report, and generate a current department processing opinion feedback result report after the data analysis processing is completed;

the opinion feedback module is used for extracting a crowd satisfaction actual value from the opinion feedback result report processed by the current department according to the opinion feedback result report processed by the current department;

the crowd satisfaction module is used for comparing the crowd satisfaction actual value with a preset standard satisfaction threshold value based on the extracted crowd satisfaction actual value and judging whether the crowd satisfaction actual value reaches the preset standard satisfaction threshold value or not;

and the initial solution module is used for generating an opinion solution upward moving instruction when the mass satisfaction actual value does not reach a preset standard satisfaction threshold value, and sending the current opinion initial solution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the mass satisfaction actual value to a superior function management department based on the opinion solution upward moving instruction.

Specifically, the apparatus further comprises:

the system comprises a government affair support module, a government affair support rate voting platform and a government affair management module, wherein the government affair support rate voting platform is used for establishing a current government affair support rate voting platform aiming at the execution feasibility degree of the current government affair push when the current government affair push is carried out, and voting indication information is arranged on the current government affair support rate voting platform;

the voting indication module is used for acquiring voting data for voting on the current government affair support rate voting platform according to the voting indication information and generating a current voting result according to the voting data;

the module is used for carrying out intelligent classification processing on the current voting result and generating current government affair support opinion data and current government affair objection opinion data after the intelligent classification processing is finished;

the objection opinion module is used for screening out the population main quantity of the current government objection opinion data provider according to the current government objection opinion data and recording the population main quantity as an objection population quantity;

the population quantity module is used for acquiring the total population quantity of the current government pursuit location, calculating the percentage of the objected population quantity occupying the total population quantity based on the objected population quantity and the total population quantity, and recording the percentage as the current objected population weight;

the deprecation population module is used for establishing a deprecation opinion database according to the screened current government deprecation opinion data, establishing a unique link relation between the deprecation opinion database and the current deprecation population weight, and generating a current government promotion acceptance value based on the unique link relation, wherein the current government promotion acceptance value is used for measuring the acceptance degree of the masses in the current government promotion location to the current government;

and the voting result module is used for packing the current voting result, the current government support opinion data, the current government objection opinion data, the objection population number, the objection population weight and the current government promotion acceptance value and generating the current crowd opinion feedback data.

A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the block chain-based e-government data feedback management method when executing the computer program.

A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the block chain-based e-government data feedback management method described above.

The invention has the following technical effects:

according to the E-government data feedback management method and device based on the block chain, when the current government is pushed, current crowd opinion feedback data collected by the information collection ports of all levels of functional departments are obtained, wherein the current crowd opinion feedback data collected by the information collection ports of the one level of functional departments have the same specific data label; classifying each current crowd opinion feedback data based on the specific data label of each current crowd opinion feedback data, and generating a feedback data classification set, wherein one current crowd opinion feedback data corresponds to one feedback data classification set; extracting actual feedback opinions in each feedback data classification set, sorting the opinions according to the opinion similarity of each actual feedback opinion, screening out one type of actual feedback opinions with the highest similarity after sorting, and setting the actual feedback opinions as key attention type feedback opinions; the key concern feedback opinions are respectively sent to all levels of functional departments, a feedback opinion prompting instruction is generated, the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back current opinion initial solution reports fed back according to the actual feedback opinions in a specific time, after the current opinion initial solution reports are obtained, the key concern feedback opinions and the corresponding current opinion initial solution reports are linked in a link evidence storing mode based on a block chain technology, efficient management of data of electronic government affairs is achieved, the block chain technology is utilized, non-falsification type storage of the electronic government affair data is achieved, and the technical effect of the government affair processing efficiency of the functional departments is optimized.

Drawings

FIG. 1 is a schematic flow chart of a block chain-based E-government data feedback management method in one embodiment;

fig. 2 is a block diagram of an e-government data feedback management device based on a block chain in one embodiment;

FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

In one embodiment, as shown in fig. 1, there is provided a block chain-based e-government data feedback management method, including:

step S100: when the current government affairs is carried out, current crowd opinion feedback data collected by the information collecting ports of the functional departments at all levels are obtained, wherein the current crowd opinion feedback data collected by the information collecting ports of the functional departments at one level have the same specific data label;

specifically, the current government affairs are the relevant policies to be enforced, and further, the action bases and the rules established by the intelligent government affairs department for realizing routes and tasks in a certain historical period.

The government affairs intelligent departments obviously have more than one stage, and in order to realize the comprehensiveness of data collection, the current crowd opinion feedback data collected by the information collection ports of the functional departments at all stages need to be acquired.

And current crowd's suggestion feedback data that first-level function department information collection port was collected have the same specific data label, through setting up the same specific data label, make follow-up classification to data can realize high accurate and high-efficient swiftly categorised, and then the high-efficient management of relevant data of E-government affairs promotes E-government affairs efficiency of handling affairs.

Step S200: classifying each current crowd opinion feedback data based on the specific data label of each current crowd opinion feedback data, and generating a feedback data classification set, wherein one current crowd opinion feedback data corresponds to one feedback data classification set;

specifically, the current crowd opinion feedback data respectively corresponds to the specific data tags, so that the current crowd opinion feedback data can be classified through the specific data tags of the current crowd opinion feedback data.

And then, the generated feedback data classification set realizes the compression and packaging type processing of the e-government data, thereby improving the subsequent data processing effect.

Step S300: extracting actual feedback opinions in each feedback data classification set, sorting the opinions according to the opinion similarity of each actual feedback opinion, screening out one type of actual feedback opinions with the highest similarity after sorting, and setting the actual feedback opinions as key attention type feedback opinions;

specifically, the actual feedback opinions in each feedback data classification set are extracted first, and then similarity sorting is carried out according to the opinion similarity of each actual feedback opinion, so that ordered management of data is achieved, and the processing efficiency of e-government data is improved.

Further, after the class of actual feedback opinions with the highest similarity are screened out after sorting, screening of the most problems is achieved, and then the class of actual feedback opinions are set as key attention class feedback opinions, so that follow-up targeted processing of different problems is facilitated, and efficient problem solving is achieved.

Step S400: and respectively sending the key attention type feedback opinions to all levels of functional departments, and generating a feedback opinion prompting instruction, wherein the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back a current opinion initial solution report fed back aiming at the actual feedback opinions in a specific time, and after the current opinion initial solution report is obtained, chaining the key attention type feedback opinions and the corresponding current opinion initial solution report on the basis of a block chain technology in a mode of linking and storing evidence.

Specifically, the feedback opinion prompting instruction prompts all levels of functional departments to feed back the current opinion initial solution report aiming at the actual feedback opinion feedback within a specific time, so that the current opinion initial solution report can be generated on time and efficiently in a prompting mode, and the e-government office efficiency is improved.

And then, after the current opinion initial solution report is obtained, chaining the key attention feedback opinions and the corresponding current opinion initial solution report in a link evidence mode based on a block chain technology, wherein the step utilizes the non-tamper property of the block chain technology during data storage, so that the confidentiality of the electronic government related data is ensured.

In one embodiment, step S400: respectively sending the key concern feedback opinions to all levels of functional departments, and generating a feedback opinion prompting instruction, wherein the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back current opinion initial solving reports fed back aiming at the actual feedback opinions in a specific time; then also comprises the following steps:

step S410: after each level of functional departments feed back a current opinion initial solution report fed back aiming at the actual feedback opinions within a specific time, a feedback information VR collecting platform is constructed, and current initial VR interactive feedback data of the masses after receiving the current opinion initial solution report is obtained based on the feedback information VR collecting platform;

step S420: according to the obtained current initial VR interactive feedback data, performing data screening separation on the current initial VR interactive feedback data, and generating current interactive audio feedback information and current interactive video feedback information after the data screening separation is completed;

step S430: importing the current interactive audio feedback information into a preset audio data extraction model, carrying out audio data filtering processing on the current interactive audio feedback information in the audio data extraction model, and acquiring current audio filtered data;

specifically, firstly, a feedback information VR collecting platform is constructed, and current initial VR interactive feedback data of the masses after the masses receive the current opinion initial solution report is obtained based on the feedback information VR collecting platform, so that the feedback information VR collecting platform constructed firstly is realized, the masses can conveniently and efficiently collect information, the current initial VR interactive feedback data can be simply, conveniently and quickly obtained, and the electronic government affair data obtaining efficiency is improved.

And then, generating current interactive audio feedback information and current interactive video feedback information after the data screening and separating are completed, thereby realizing the refining processing of the E-government data and realizing the refined data processing.

Step S440: importing the current interactive video feedback information into a preset video data extraction model, carrying out video data filtering processing on the current interactive video feedback information in the video data extraction model, and acquiring current video filtered data;

then, by respectively carrying out video data filtering processing on the current interactive video feedback information, acquiring current video filtered data, carrying out audio data filtering processing on the current interactive audio feedback information, and acquiring current audio filtered data, filtering useless factors of the data is realized, high-precision acquisition of the data is realized, and the subsequent data processing efficiency is improved.

Step S450: based on the obtained current audio filtered data, the current video filtered data and the current opinion initial resolution report, performing data analysis processing on the current audio filtered data, the current video filtered data and the current opinion initial resolution report, and generating a current department processing opinion feedback result report after the data analysis processing is completed;

step S460: extracting a crowd satisfaction actual value from the current department processing opinion feedback result report according to the current department processing opinion feedback result report;

step S470: comparing the extracted actual value of the crowd satisfaction with a preset standard satisfaction threshold value based on the extracted actual value of the crowd satisfaction, and judging whether the actual value of the crowd satisfaction reaches the preset standard satisfaction threshold value or not;

specifically, the data analysis processing is performed on the current audio filtered data, the current video filtered data and the current opinion initial solution report, and a current department processing opinion feedback result report is generated after the data analysis processing is completed, so that a data manager can quickly and efficiently know various electronic government affair data.

Meanwhile, a mass satisfaction actual value can be extracted from the current department opinion feedback result report, and whether the mass satisfaction actual value reaches a preset standard satisfaction threshold or not is judged, so that the data office is realized, the decision is realized according to the data, and the accuracy and the stability of the decision are improved.

Step S480: and when the actual value of the crowd satisfaction does not reach the preset standard satisfaction threshold, generating an opinion resolution upward moving instruction, and sending the current opinion initial resolution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the actual value of the crowd satisfaction to a superior function management department based on the opinion resolution upward moving instruction.

In one embodiment, step S100: when the current government affairs is carried out, current crowd opinion feedback data collected by the information collecting ports of the functional departments at all levels are obtained, wherein the current crowd opinion feedback data collected by the information collecting ports of the functional departments at one level have the same specific data label; the method specifically comprises the following steps:

step S110: when a current government affair is pushed, establishing a current government affair support rate voting platform aiming at the execution feasibility degree of the current government affair pushing, and setting voting indication information on the current government affair support rate voting platform;

step S120: obtaining voting data for voting on the current government affair support rate voting platform according to the voting indication information, and generating a current voting result according to the voting data;

step S130: carrying out intelligent classification processing on the current voting result, and generating current government affair support opinion data and current government affair objection opinion data after the intelligent classification processing is finished;

specifically, in this step, a current government affair support rate voting platform for the execution feasibility degree of the current government affair promotion is established, and in order to facilitate voting by the masses, a manner of setting voting indication information on the current government affair support rate voting platform is adopted, so that voting guidance can be realized, and voting data for voting on the current government affair support rate voting platform is acquired.

And then, intelligently classifying the current voting result to realize the classification of the data.

Simultaneously, after intelligent classification is handled and is accomplished, the suggestion data is objected to current government affairs support suggestion data of generation, based on the data generation more accurate suggestion data after the classification, and then realize the accurate acquisition of data.

Step S140: screening out the population main quantity of the current government objection opinion data provider according to the current government objection opinion data, and recording the population main quantity as an objection population quantity;

step S150: acquiring the total population number of a place where the current government affairs are carried out, calculating the percentage of the total population number occupied by the objection population number based on the objection population number and the total population number, and recording the percentage as the current objection population weight;

step S160: establishing an objection opinion database according to the screened current government objection opinion data, establishing a unique link relation between the objection opinion database and the current objection population weight, and generating a current government promotion acceptance value based on the unique link relation, wherein the current government promotion acceptance value is used for measuring the acceptance degree of the masses at the current government promotion location to the current government;

specifically, based on the anti-people number and the general population number, the percentage of the anti-people number occupying the general population number is calculated, the percentage is recorded as the current anti-people weight value, the acquisition of the anti-people number is realized, an anti-opinion database is established, the summarization of all anti-opinions is realized, and the efficient processing of the follow-up solution of the anti-opinions is facilitated.

And then, establishing a unique link relation between the objection opinion database and the current objection population weight, generating a current government affair promotion acceptance value based on the unique link relation, and measuring the acceptance degree of the masses at the current government affair promotion location to the current government affairs through specific real and scientific data so as to realize accurate feedback of electronic government affair promotion.

Step S170: packing the current voting results, the current government support opinion data, the current government objection opinion data, objection population weight and the current government performance acceptance value and generating the current crowd opinion feedback data.

In one embodiment, step S480: when the actual value of the crowd satisfaction does not reach the preset standard satisfaction threshold, generating an opinion resolution upward moving instruction, and sending the current opinion initial resolution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the actual value of the crowd satisfaction to a superior function management department based on the opinion resolution upward moving instruction, and then further comprising:

step S481: after the current opinion initial solution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the crowd satisfaction actual value are sent to a previous level of function management department, adjusted government affair pushing data released by the previous level of function management department is obtained;

step S482: comparing the adjusted government affair execution data with the current opinion initial solution report, and generating a policy similarity weight, wherein the policy similarity weight is used for measuring the similarity and the adjustment proportion between the adjusted government affair execution data and the current opinion initial solution report;

specifically, the adjusted government affair pushing data released by the previous level of function management department is obtained, so that the data of policy adjustment can be immediately obtained.

And comparing the adjusted government affair execution data with the current opinion initial solution report, and generating a policy similarity weight, so that the similarity and the adjustment proportion between the adjusted government affair execution data and the current opinion initial solution report can be conveniently and subsequently measured, the previous function department can conveniently learn the mode of the previous function management department for processing the government affairs, and the capacity and the efficiency of the previous function department for processing the government affairs can be improved.

Step S483: generating a government affair execution approval request instruction according to the policy similarity weight, and sending the government affair execution approval request instruction to a first high-level function department and a second high-level function department, wherein the function grades of the first high-level function department and the second high-level function department are higher than that of the previous function management department;

step S484: respectively acquiring policy execution feedback indication data of the first high-level functional department and the second high-level functional department, wherein the policy execution feedback indication data of the first high-level functional department is first execution indication data, and the policy execution feedback indication data of the second high-level functional department is second execution indication data;

step S485: judging whether the first execution indication data and the second execution indication data are the same;

step S486: and if the first execution instruction data is the same as the second execution instruction data, generating a current government affairs permission execution instruction, and sending the current government affairs permission execution instruction to the previous-level function management department, wherein the current government affairs permission execution instruction is used for guiding the previous-level function management department to execute the corresponding adjusted government affairs in the adjusted government affairs pushing data according to the first execution instruction data and the second execution instruction data.

Specifically, the government affair execution approval request instruction is sent to a first high-level functional department and a second high-level functional department, and the policy execution feedback indication data of the first high-level functional department and the second high-level functional department are respectively obtained, so that multiple times of confirmation before decision execution is realized, and the high-efficiency feasibility of decision is realized.

In one embodiment, step S485: judging whether the first execution indication data and the second execution indication data are the same, and then further comprising:

step S4851: if the first execution indicating data is judged to be different from the second execution indicating data, generating a current policy delay execution instruction;

step S4852: based on the time point of generating the current policy deferred execution instruction, sequentially uploading the adjusted government affair pushing data corresponding to each current policy deferred execution instruction to a pre-established government affair data storage library to be executed according to the time sequence;

step S4853: arranging each adjusted government affair pushing data and a specific position in the to-be-executed government affair data storage library according to the sequence of storage time, and generating a to-be-processed government affair data sequence set;

specifically, when it is determined that the first execution instruction data is different from the second execution instruction data, the current policy suspend execution instruction is generated to stop executing the current policy.

And based on the time point of generating the current policy deferred execution instruction, the adjusted government affair pushing data corresponding to each current policy deferred execution instruction is uploaded to a pre-established government affair data storage library to be executed in sequence according to the time sequence, so that the ordered storage of the adjusted government affair pushing data is realized, and the efficient management of the electronic government affair data is further promoted.

On the other hand, the arrangement and the specific position of each adjusted government affair pushing data are convenient for subsequent quick retrieval and acquisition of different data, and the processing efficiency of the electronic government affair data is improved.

Step S4854: and generating a to-be-processed affair display interface according to the to-be-processed government affair data sequence set, wherein the to-be-processed affair display interface is used for displaying each adjusted government affair pushing data in the to-be-processed government affair data sequence set.

In summary, when the current government affairs is carried out, the present crowd opinion feedback data collected by the information collecting ports of the functional departments at all levels is obtained, wherein the present crowd opinion feedback data collected by the information collecting ports of the functional departments at one level have the same specific data label; classifying each current crowd opinion feedback data based on the specific data label of each current crowd opinion feedback data, and generating a feedback data classification set, wherein one current crowd opinion feedback data corresponds to one feedback data classification set; extracting actual feedback opinions in each feedback data classification set, sorting the opinions according to the opinion similarity of each actual feedback opinion, screening out one type of actual feedback opinions with the highest similarity after sorting, and setting the actual feedback opinions as key attention type feedback opinions; the key concern feedback opinions are respectively sent to all levels of functional departments, a feedback opinion prompting instruction is generated, the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back current opinion initial solution reports fed back according to the actual feedback opinions in a specific time, after the current opinion initial solution reports are obtained, the key concern feedback opinions and the corresponding current opinion initial solution reports are linked in a link evidence storing mode based on a block chain technology, efficient management of data of electronic government affairs is achieved, the block chain technology is utilized, non-falsification type storage of the electronic government affair data is achieved, and the technical effect of the government affair processing efficiency of the functional departments is optimized.

In one embodiment, as shown in fig. 2, an electronic government data feedback management apparatus based on a block chain, the apparatus includes:

In one embodiment, the apparatus further comprises:

the data processing module is used for acquiring adjusted government affair pushing data pushed by the previous level of function management department after sending the current opinion initial solution report, the current department opinion processing feedback result report, the current interactive audio feedback information and the actual crowd satisfaction value to the previous level of function management department;

in one embodiment, the data processing module is further configured to compare the adjusted government promoting data with the current opinion initial resolution report, and generate a policy similarity weight, where the policy similarity weight is used to measure the similarity and the adjustment ratio between the adjusted government promoting data and the current opinion initial resolution report; generating a government affair execution approval request instruction according to the policy similarity weight, and sending the government affair execution approval request instruction to a first high-level function department and a second high-level function department, wherein the function grades of the first high-level function department and the second high-level function department are higher than that of the previous function management department; respectively acquiring policy execution feedback indication data of the first high-level functional department and the second high-level functional department, wherein the policy execution feedback indication data of the first high-level functional department is first execution indication data, and the policy execution feedback indication data of the second high-level functional department is second execution indication data; judging whether the first execution indication data and the second execution indication data are the same; and if the first execution instruction data is the same as the second execution instruction data, generating a current government affairs permission execution instruction, and sending the current government affairs permission execution instruction to the previous-level function management department, wherein the current government affairs permission execution instruction is used for guiding the previous-level function management department to execute the corresponding adjusted government affairs in the adjusted government affairs pushing data according to the first execution instruction data and the second execution instruction data.

In one embodiment, the data processing module is further configured to generate a current policy deferred execution instruction if it is determined that the first execution instruction data is different from the second execution instruction data; based on the time point of generating the current policy deferred execution instruction, sequentially uploading the adjusted government affair pushing data corresponding to each current policy deferred execution instruction to a pre-established government affair data storage library to be executed according to the time sequence; arranging each adjusted government affair pushing data and a specific position in the to-be-executed government affair data storage library according to the sequence of storage time, and generating a to-be-processed government affair data sequence set; and generating a to-be-processed affair display interface according to the to-be-processed government affair data sequence set, wherein the to-be-processed affair display interface is used for displaying each adjusted government affair pushing data in the to-be-processed government affair data sequence set.

In one embodiment, as shown in fig. 3, a computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the block chain-based e-government data feedback management method when executing the computer program.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A block chain-based E-government data feedback management method is characterized by comprising the following steps:

2. The block chain-based e-government data feedback management method according to claim 1, wherein the key concern feedback opinions are respectively sent to all levels of functional departments, and a feedback opinion prompting instruction is generated, the feedback opinion prompting instruction is used for prompting all levels of functional departments to feed back a current opinion initial solution report for the actual feedback opinion feedback within a specific time, and after the current opinion initial solution report is obtained, the key concern feedback opinions and the corresponding current opinion initial solution report are linked in a link evidence mode based on a block chain technology; then also comprises the following steps:

3. The block chain-based e-government data feedback management method according to claim 1, wherein when a current government is pushed, current crowd opinion feedback data collected by the information collection ports of the functional departments at all levels is obtained, wherein the current crowd opinion feedback data collected by the information collection ports of the functional departments at one level has the same specific data tag; the method specifically comprises the following steps:

4. The feedback management method for E-government data based on block chain according to any one of claims 1-3, wherein when the actual value of crowd satisfaction does not reach the preset standard satisfaction threshold, an opinion resolution move-up command is generated, and the current opinion initial solution report, the current department processing opinion feedback result report, the current interactive audio feedback information and the actual value of crowd satisfaction are transmitted to the upper level functional management department based on the opinion resolution move-up command, and thereafter further comprising:

5. The block chain-based e-government data feedback management method according to claim 4, wherein determining whether the first execution indication data and the second execution indication data are the same further comprises:

6. An electronic government data feedback management device based on a block chain, the device comprising:

7. The block chain-based e-government data feedback management device according to claim 6, further comprising:

8. The block chain-based e-government data feedback management device according to claim 6, further comprising:

9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.