CN113034010B - Intelligent government affair request processing system based on cloud computing - Google Patents
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Abstract
The invention discloses a cloud computing-based intelligent government affair request processing system, and relates to the technical field of intelligent cities; the system comprises a problem uploading module, a control center, a request analysis module, a investigation module, a database, a display module, a browsing module, a government platform and an information pushing module; the control center distinguishes the types of the received government affair requests, audits and filters the transaction type requests, and transmits the corresponding transaction type requests to the request analysis module; the request analysis module is used for receiving the corresponding transaction request and carrying out priority analysis; when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; the information pushing module is used for determining corresponding information reminding contents according to the corresponding affinity level and the sorted target keywords; and the corresponding information reminding content is fed back to the intelligent terminal of the citizen, so that the citizen can know the urban construction information of the current popularity, and the user experience is greatly improved.
Description
Technical Field
The invention relates to the technical field of smart cities, in particular to a cloud computing-based smart government affair request processing system.
Background
Along with the continuous increase of urban population, urban construction is increasingly developed, and the problem of urban disease in partial areas is increasingly severe, so that urban development difficulty is solved, urban sustainable development is realized, and the construction of smart cities becomes an irreversible historical trend of urban development at present. At present, in the construction process of the smart city, much attention is paid to the innovation of the technical level, and the connotation of the smart city requires the optimal configuration, so that the cooperative sharing of people, things and environment is realized;
the document of publication number CN104851057A discloses a smart city management system, which integrates computer technology, wireless communication technology, internet of things, cloud technology, integrates various aspects of city management, public service, transportation trip, medical care and the like, divides the business of a smart city into an access layer, an access interaction layer, a dispatch service layer and a data interface layer, each layer provides interface packaging service for the previous layer and simultaneously calls the interface of the next layer, thus being convenient for finding out the problem, packaging and packaging different industries, facilitating the expansion of functions and services of each layer, independently debugging the architecture of each layer, simplifying the traditional system management software and network service layering service subcontracting mode, and not being limited to the specific data stream direction, thus having better flexibility;
however, in the current city construction process, the declaration and solution flow of the government affair request is long, the information transmission process is not visual, and in the declaration process, the different government affair requests are difficult to prioritize for processing, so that the smart city construction process is quickened; meanwhile, topics which are concerned by citizens together cannot be determined in real time in the urban data management process, and corresponding information is pushed and prompted according to the intimacy level between the citizens and the government affair platform, so that the citizens are deepened to know the construction progress of the smart city; therefore, we propose a cloud computing-based intelligent government affair request processing system.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a cloud computing-based intelligent government affair request processing system. In the process of processing the government affair request, the method can distinguish priorities for different government affair requests to process, and quicken the construction process of the smart city; when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; corresponding information reminding contents can be determined according to the corresponding affinity level and the sorted target keywords; and the corresponding information reminding content is fed back to the intelligent terminal of the citizen, so that the citizen can know the urban construction information of the current popularity, and the user experience is greatly improved.
The aim of the invention can be achieved by the following technical scheme:
the intelligent government affair request processing system based on cloud computing comprises a problem uploading module, a control center, a request analysis module, a investigation module, a database, a display module, a browsing module, a government affair platform and an information pushing module;
the problem uploading module is used for citizens to collect and edit urban construction problems, form government affair requests and upload the government affair requests to the control center; the control center receives government affair requests sent by citizens through the problem uploading module and distinguishes the types of the received government affair requests to obtain different types of government affair request types; and classifying the requests according to different request types, wherein the specific steps are as follows:
step one: citizens edit and upload government affair requests to the control center through the problem uploading module; the control center performs type distinction on the received government affair request; the request types are divided into consultation type requests and transaction type requests;
step two: if the consultation type request is a consultation type request, the staff replies to citizens, if the consultation type request cannot be replied immediately, a corresponding task work order of the consultation request is dispatched to related departments, and the staff of the related departments replies; the database stores unified question reply standards, and staff replies consultation type requests of citizens by referring to the standards;
step three: if the request is a transaction request, judging whether the request is a reception range of a control center, if not, replying that the citizen does not accept and informing the reason of the failure; if the request is in the acceptance range, transmitting the corresponding transaction request to a request analysis module after auditing and filtering the transaction request;
the request analysis module is used for receiving the corresponding transaction requests and carrying out priority analysis, and the specific analysis steps are as follows:
v1: obtaining transaction requests subjected to auditing and filtering by a control center, and marking the transaction requests as target requests; acquiring a credibility value KX of the target request;
v2: counting the number of requests which are considered to be the same request as the target request, and marking the request frequency P1 of the target request;
acquiring uploading time which is considered to be the same request as the target request, sequencing all the uploading time according to time sequence, and performing time difference calculation on two adjacent sequenced uploading time to obtain single uploading interval duration;
comparing the single uploading interval time with an interval time threshold, and marking the corresponding single uploading interval time as the influence interval time if the single uploading interval time is less than or equal to the interval time threshold; counting the occurrence times of the influence interval duration and marking as C1;
calculating the difference value between the influence interval duration and the interval duration threshold to obtain a low interval value, summing all the low interval values to obtain a low interval total value, and marking the low interval total value as C2; calculating an interval influence value C3 by using a formula C3=C1×a3+C2×a4, wherein a3 and a4 are coefficient factors;
v3: normalizing the credibility value, the request frequency and the interval influence value and taking the numerical value;
calculating a priority value YX of the target request by using a formula yx=kx×b1+p1×b2+c3×b3; wherein b1, b2, b3 are coefficient factors;
v4: sorting the target requests according to the magnitude of the priority value YX; sequentially distributing task work orders of the target requests to related business departments according to the ordering of the target requests for processing;
after the business department finishes processing, the task work order flows back to the control center, and then the processing results are fed back to citizens through calling hotlines, APP, weChat and other channels.
Further, the method for auditing and filtering the transaction request by the control center comprises the following steps:
s31: the method comprises the steps of obtaining a transaction type request uploaded by a problem uploading module, wherein the transaction type request comprises time, place, picture, video and brief description of occurrence of a problem;
s32: marking all transaction requests with occurrence time and occurrence place of one uploaded transaction request as centers, marking all transaction requests with occurrence place within radius r1 and occurrence time difference within a preset value, extracting keywords of all marked transaction requests, and considering the two uploaded transaction requests as the same request when the coincidence degree of the keywords of the two uploaded transaction requests reaches a preset coincidence degree lambda%; wherein lambda is a preset value;
s33: marking the occurrence time and the occurrence place of the transaction type request of the same uploaded request, taking the occurrence place with the largest occurrence number as the corresponding problem occurrence place, and taking the occurrence time with the largest occurrence number as the corresponding problem occurrence time;
s34: the control center evaluates the credibility of the uploaded transaction requests of the same request, and selects the transaction request with the largest credibility value as a selected transaction request to be sent to a request analysis module; the credibility evaluation method comprises the following steps:
s341: acquiring an uploading person of the transaction request, obtaining identity information of the uploading person, and carrying out a value giving process on the identity information of the uploading person by combining a database to obtain a value of the transaction request; the process of imparting the specific value is as follows: the database is stored with a comparison table of identity information and identity values, and the value corresponding to the identity information is determined according to the comparison table; and marking the corresponding value as T1;
s342: acquiring uploading time of a transaction request, calculating a time difference between the uploading time and the current time of the system to obtain uploading duration, and marking the uploading duration as CT; calculating to obtain a credibility value KX of the transaction request by using a formula KX=T1×a1+CT×a2;
further, the investigation module is used for collecting the government affair request received by the control center in a preset period of time and analyzing keywords of the government affair request, and the specific analysis steps are as follows:
d1: collecting a government affair request received by a control center within a preset period of time, and extracting keywords from the government affair request; acquiring the occurrence times of the same keywords and marking the occurrence times as L1;
d2: comparing the occurrence number L1 with a number threshold; if the occurrence number L1 is more than or equal to the number threshold, marking the corresponding keyword as a target keyword;
sorting the target keywords according to the occurrence frequency L1;
transmitting the ordered target keywords to a display module for real-time display through a control center; the topics which are concerned by citizens in common are determined conveniently in real time; the smart city construction is quickened;
the browsing module is connected with the government affair platform; the browsing module is used for citizens to browse city construction data stored in the government affair platform; and records browsing records of citizens; the browsing module is used for collecting browsing records of citizens in a preset period of time and analyzing the browsing records to obtain a communication factor value TX between the citizens and the government platform;
the browsing module is used for transmitting the communication factor value TX to the information pushing module, and the information pushing module is used for receiving the communication factor value TX and determining an intimacy level corresponding to the communication factor value TX by combining a database; the database is stored with a comparison table of the communication factor value range and the intimacy level, and the intimacy level corresponding to the communication factor value TX is determined according to the comparison table;
when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; the information pushing module is used for determining corresponding information reminding contents according to the corresponding intimacy level and the sorted target keywords; and the corresponding information reminding content is fed back to the intelligent terminal of the citizen, so that the citizen can know the urban construction information of the current popularity, and the user experience is greatly improved.
Further, the specific analysis steps of the browsing module are as follows:
collecting browsing records of citizens in a preset period, wherein the browsing records comprise browsing times, browsing starting time and browsing ending time;
counting the browsing times of citizens in a preset period of time and marking the browsing times as K1; calculating the time difference between the browsing starting time and the corresponding browsing ending time to obtain single browsing duration; summing all the single browsing time lengths to obtain a browsing total time length, and marking the browsing total time length as ZT;
sequencing all browsing starting time and browsing ending time according to time sequence; performing time difference calculation on the two adjacent browsing end moments and the browsing start moment after sequencing to obtain single browsing interval duration; summing all the single browsing interval durations and taking an average value to obtain an average interval duration PT;
the communication factor value TX is calculated by using the formula tx= (k1×d1+zt×d2)/PT, where d1 and d2 are both coefficient factors.
The beneficial effects of the invention are as follows:
1. the citizens collect and edit the urban construction problems through the problem uploading module to form government affair requests and upload the government affair requests to the control center; the control center performs type discrimination on the received government affair requests to obtain different types of government affair request types; classifying the transaction requests according to different request types, and if the request is in a receiving range, transmitting the corresponding transaction requests to a request analysis module after auditing and filtering the transaction requests; according to the invention, the transaction requests are audited and filtered through the control center, repeated declaration of the same request is avoided, the complexity of the system on information processing is reduced, meanwhile, the control center evaluates the credibility of the uploaded transaction requests of the same request, and selects the transaction request with the largest credibility value as the selected transaction request, so that staff can receive more clear and credible government requests in time, and the working efficiency is improved;
2. the request analysis module is used for receiving the corresponding transaction requests and carrying out priority analysis, and obtaining a priority value YX of the target request through related processing; sorting the target requests according to the magnitude of the priority value YX; sequentially distributing task work orders of the target requests to related business departments according to the ordering of the target requests for processing; after the business department finishes processing, the task work order flows back to the control center, and then the processing results are fed back to citizens through calling hotlines, APP, weChat and other channels; in the process of processing the government affair request, the method can distinguish priorities for different government affair requests to process, and quicken the construction process of the smart city;
3. the investigation module is used for collecting government affair requests received by the control center in a preset period of time and analyzing keywords of the government affair requests to obtain target keywords; sorting the target keywords according to the occurrence frequency L1; transmitting the ordered target keywords to a display module for real-time display through a control center; the topics which are concerned by citizens in common are determined conveniently in real time; the smart city construction is quickened; the browsing module is used for collecting browsing records of citizens in a preset period of time and analyzing the browsing records to obtain communication factor values between the citizens and the government platform; the information pushing module is used for receiving the communication factor value TX and determining an affinity level corresponding to the communication factor value TX by combining a database; when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; the information pushing module is used for determining corresponding information reminding contents according to the corresponding intimacy level and the sorted target keywords; and the corresponding information reminding content is fed back to the intelligent terminal of the citizen, so that the citizen can know the urban construction information of the current popularity, and the user experience is greatly improved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Fig. 2 is a system block diagram of embodiment 1 of the present invention.
Fig. 3 is a system block diagram of embodiment 2 of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
1-3, the intelligent government affair request processing system based on cloud computing comprises a problem uploading module, a control center, a request analysis module, a investigation module, a database, a display module, a browsing module, a government affair platform and an information pushing module;
example 1
As shown in fig. 2; the problem uploading module is used for citizens to collect and edit urban construction problems, form government affair requests and upload the government affair requests to the control center; the control center receives government affair requests sent by citizens through the problem uploading module and distinguishes the types of the received government affair requests to obtain different types of government affair request types; and classifying the requests according to different request types, wherein the specific steps are as follows:
step one: citizens edit and upload government affair requests to the control center through the problem uploading module; the control center performs type distinction on the received government affair request; the request types are divided into consultation type requests and transaction type requests;
step two: if the consultation type request is a consultation type request, the staff replies to citizens, if the consultation type request cannot be replied immediately, a corresponding task work order of the consultation request is dispatched to related departments, and the staff of the related departments replies; the database stores unified question reply standards, and staff replies consultation type requests of citizens by referring to the standards;
step three: if the request is a transaction request, judging whether the request is a reception range of a control center, if not, replying that the citizen does not accept and informing the reason of the failure; if the request is in the acceptance range, transmitting the corresponding transaction request to a request analysis module after auditing and filtering the transaction request;
the method for auditing and filtering the transaction request by the control center comprises the following steps:
s31: the method comprises the steps of obtaining a transaction type request uploaded by a problem uploading module, wherein the transaction type request comprises time, place, picture, video and brief description of occurrence of a problem;
s32: marking all transaction requests with occurrence time and occurrence place of one uploaded transaction request as centers, marking all transaction requests with occurrence place within radius r1 and occurrence time difference within a preset value, extracting keywords of all marked transaction requests, and considering the two uploaded transaction requests as the same request when the coincidence degree of the keywords of the two uploaded transaction requests reaches a preset coincidence degree lambda%; wherein lambda is a preset value;
s33: marking the occurrence time and the occurrence place of the transaction type request of the same uploaded request, taking the occurrence place with the largest occurrence number as the corresponding problem occurrence place, and taking the occurrence time with the largest occurrence number as the corresponding problem occurrence time;
s34: the control center evaluates the credibility of the uploaded transaction requests of the same request, and selects the transaction request with the largest credibility value as a selected transaction request to be sent to a request analysis module; the credibility evaluation method comprises the following steps:
s341: acquiring an uploading person of the transaction request, obtaining identity information of the uploading person, and carrying out a value giving process on the identity information of the uploading person by combining a database to obtain a value of the transaction request; the process of giving the specific value is as follows: the database stores a comparison table of the identity information and the identity value, and the value corresponding to the identity information is determined according to the comparison table; and marking the corresponding value as T1;
s342: acquiring uploading time of a transaction request, calculating a time difference between the uploading time and the current time of the system to obtain uploading duration, and marking the uploading duration as CT; calculating to obtain a credibility value KX of the transaction request by using a formula KX=T1×a1+CT×a2, wherein a1 and a2 are coefficient factors;
according to the invention, the control center is connected with the request processing departments through the informatization system, the requirements of citizens are not required to be transmitted among the departments in a manual mode, the network application is completely based on the Internet, the processing speed of each department is greatly improved, the middle time-consuming links are reduced, the method is beneficial to building an efficient and transparent smart city, meanwhile, the control center carries out auditing and filtering on the transaction requests, repeated declaration of the same request is avoided, the complexity of the system on information processing is reduced, the control center carries out credibility evaluation on the uploaded transaction requests of the same request, and the transaction request with the largest credibility value is selected as the selected transaction request, so that the staff can timely receive the clearer and credible government request, and the working efficiency is improved;
the request analysis module is used for receiving the corresponding transaction requests and carrying out priority analysis, and the specific analysis steps are as follows:
v1: obtaining transaction requests subjected to auditing and filtering by a control center, and marking the transaction requests as target requests; acquiring a credibility value KX of the target request;
v2: counting the number of requests which are considered to be the same request as the target request, and marking the request frequency P1 of the target request;
acquiring uploading time which is considered to be the same request as the target request, sequencing all the uploading time according to time sequence, and performing time difference calculation on two adjacent sequenced uploading time to obtain single uploading interval duration;
comparing the single uploading interval time with an interval time threshold, and marking the corresponding single uploading interval time as the influence interval time if the single uploading interval time is less than or equal to the interval time threshold; counting the occurrence times of the influence interval duration and marking as C1;
calculating the difference value between the influence interval duration and the interval duration threshold to obtain a low interval value, summing all the low interval values to obtain a low interval total value, and marking the low interval total value as C2; calculating an interval influence value C3 by using a formula C3=C1×a3+C2×a4, wherein a3 and a4 are coefficient factors;
v3: normalizing the credibility value, the request frequency and the interval influence value and taking the numerical value;
calculating a priority value YX of the target request by using a formula yx=kx×b1+p1×b2+c3×b3; wherein b1, b2, b3 are coefficient factors;
v4: sorting the target requests according to the magnitude of the priority value YX; sequentially distributing task work orders of the target requests to related business departments according to the ordering of the target requests for processing;
after the business department finishes processing, the task work order flows back to the control center, and then the processing results are fed back to citizens through calling hotlines, APP, weChat and other channels; the task work order is an independent work order and comprises citizen contact information, request content, request processing step information, request processing results and the like; in the process of processing the government affair request, the method can distinguish priorities for different government affair requests to process, and quicken the construction process of the smart city;
example 2
As shown in fig. 3; the investigation module is used for collecting government affair requests received by the control center within a preset period of time and analyzing keywords of the government affair requests, and the specific analysis steps are as follows:
d1: collecting a government affair request received by a control center within a preset period of time, and extracting keywords from the government affair request; acquiring the occurrence times of the same keywords and marking the occurrence times as L1;
d2: comparing the occurrence number L1 with a number threshold; if the occurrence number L1 is more than or equal to the number threshold, marking the corresponding keyword as a target keyword;
sorting the target keywords according to the occurrence frequency L1;
transmitting the ordered target keywords to a display module for real-time display through a control center; the topics which are concerned by citizens in common are determined conveniently in real time; the smart city construction is quickened;
the browsing module is connected with the government affair platform; the browsing module is used for citizens to browse city construction data stored in the government affair platform; and records browsing records of citizens; the browsing module is used for collecting browsing records of citizens in a preset period of time and analyzing the browsing records to obtain communication factor values between the citizens and the government platform; the method comprises the following specific steps:
collecting browsing records of citizens in a preset period, wherein the browsing records comprise browsing times, browsing starting time and browsing ending time;
counting the browsing times of citizens in a preset period of time and marking the browsing times as K1; calculating the time difference between the browsing starting time and the corresponding browsing ending time to obtain single browsing duration; summing all the single browsing time lengths to obtain a browsing total time length, and marking the browsing total time length as ZT;
sequencing all browsing starting time and browsing ending time according to time sequence; performing time difference calculation on the two adjacent browsing end moments and the browsing start moment after sequencing to obtain single browsing interval duration; summing all the single browsing interval durations and taking an average value to obtain an average interval duration PT;
calculating to obtain a communication factor value TX by using a formula TX= (K1×d1+ZT×d2)/PT, wherein d1 and d2 are coefficient factors;
the browsing module is used for transmitting the communication factor value TX to the information pushing module, and the information pushing module is used for receiving the communication factor value TX and determining the intimacy level corresponding to the communication factor value TX by combining with the database; a comparison table of the communication factor value range and the intimacy level is stored in the database, and the intimacy level corresponding to the communication factor value TX is determined according to the comparison table;
when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; the information pushing module is used for determining corresponding information reminding contents according to the corresponding affinity level and the sorted target keywords; the corresponding information reminding content is fed back to the intelligent terminal of the citizen, so that the citizen can know the current popular city construction information conveniently, and the user experience is greatly improved;
wherein, the database stores a comparison table of the intimacy level and the number of the target keywords; the higher the affinity level, the more the number of target keywords; the information reminding content is the latest information related to the target keywords with the corresponding number, and the target keywords with the corresponding number are screened according to the ordering of the target keywords; the latest information is expressed as news information released within 12 hours before the current time of the system; for example: if the number of the target keywords corresponding to the intimacy level is 3, the corresponding information reminding content is the latest information related to the target keywords of the 3 before ordering.
The working principle of the invention is as follows:
the intelligent government affair request processing system based on cloud computing collects and edits city construction problems through a problem uploading module when working, forms government affair requests and uploads the government affair requests to a control center; the control center performs type discrimination on the received government affair requests to obtain different types of government affair request types; classifying the consultation requests according to different request types, if the consultation requests are consultation requests, replying citizens by the staff, and if the consultation requests cannot be replied immediately, distributing a corresponding task work order of the consultation requests to related departments, and replying by the staff of the related departments; if the request is a transaction request, judging whether the request is a reception range of a control center, if not, replying that the citizen does not accept and informing the reason of the failure; if the request is in the acceptance range, transmitting the corresponding transaction request to a request analysis module after auditing and filtering the transaction request; according to the invention, the transaction requests are audited and filtered through the control center, repeated declaration of the same request is avoided, the complexity of the system on information processing is reduced, meanwhile, the control center evaluates the credibility of the uploaded transaction requests of the same request, and selects the transaction request with the largest credibility value as the selected transaction request, so that staff can receive more clear and credible government requests in time, and the working efficiency is improved;
the request analysis module is used for receiving the corresponding transaction requests and carrying out priority analysis, and obtaining a priority value YX of the target request through correlation processing; sorting the target requests according to the magnitude of the priority value YX; sequentially distributing task work orders of the target requests to related business departments according to the ordering of the target requests for processing; after the business department finishes processing, the task work order flows back to the control center, and then the processing results are fed back to citizens through calling hotlines, APP, weChat and other channels; in the process of processing the government affair request, the method can distinguish priorities for different government affair requests to process, and quicken the construction process of the smart city;
the investigation module is used for collecting government affair requests received by the control center within a preset period of time and carrying out keyword analysis on the government affair requests to obtain target keywords; sorting the target keywords according to the occurrence frequency L1; transmitting the ordered target keywords to a display module for real-time display through a control center; the topics which are concerned by citizens in common are determined conveniently in real time; the smart city construction is quickened; the browsing module is connected with the government affair platform; the browsing module is used for citizens to browse city construction data stored in the government affair platform; and records browsing records of citizens; the browsing module is used for collecting browsing records of citizens in a preset period of time and analyzing the browsing records to obtain communication factor values between the citizens and the government platform; the information pushing module is used for receiving the communication factor value TX and determining an affinity level corresponding to the communication factor value TX by combining a database; when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; the information pushing module is used for determining corresponding information reminding contents according to the corresponding affinity level and the sorted target keywords; and the corresponding information reminding content is fed back to the intelligent terminal of the citizen, so that the citizen can know the urban construction information of the current popularity, and the user experience is greatly improved.
The formulas are formulas which are consistent with the real results and are obtained by acquiring a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (3)
1. The intelligent government affair request processing system based on cloud computing is characterized by comprising a problem uploading module, a control center, a request analysis module, a investigation module, a database, a display module, a browsing module, a government affair platform and an information pushing module;
the problem uploading module is used for citizens to collect and edit urban construction problems, form government affair requests and upload the government affair requests to the control center; the control center performs type discrimination on the received government affair request; if the consultation type request is a consultation type request, the staff replies to citizens, if the consultation type request cannot be replied immediately, a corresponding task work order of the consultation request is dispatched to related departments, and the staff of the related departments replies;
if the request is a transaction request, judging whether the request is a reception range of a control center, if not, replying that the citizen does not accept and informing the reason of the failure; if the request is in the acceptance range, transmitting the corresponding transaction request to a request analysis module after auditing and filtering the transaction request;
the request analysis module is used for receiving the corresponding transaction requests and carrying out priority analysis to obtain a priority value YX of the target request; the specific analysis steps are as follows:
obtaining transaction requests subjected to auditing and filtering by a control center, and marking the transaction requests as target requests; acquiring a credibility value KX of the target request; counting the number of requests which are considered to be the same request as the target request, and marking the request frequency P1 of the target request; obtaining uploading time which is considered to be the same as the target request, and performing time difference calculation on two adjacent uploading times to obtain single uploading interval duration; performing correlation processing on the single uploading interval duration to obtain an interval influence value C3; calculating a priority value YX of the target request by using a formula yx=kx×b1+p1×b2+c3×b3;
sorting the target requests according to the magnitude of the priority value YX; sequentially distributing task work orders of the target requests to related business departments according to the ordering of the target requests for processing; after the business department finishes processing, the task work orders flow back to the control center, and then the processing result is fed back to citizens;
the method for auditing and filtering the transaction requests by the control center comprises the following steps:
marking all transaction requests with occurrence time and occurrence place of one uploaded transaction request as centers, marking all transaction requests with occurrence place within radius r1 and occurrence time difference within a preset value, extracting keywords of all marked transaction requests, and considering the two uploaded transaction requests as the same request when the coincidence degree of the keywords of the two uploaded transaction requests reaches a preset coincidence degree lambda%; wherein lambda is a preset value;
the control center evaluates the reliability of the uploaded transaction requests of the same request, and selects the transaction request with the largest reliability value as the selected transaction request to be sent to the request analysis module.
2. The cloud computing-based intelligent government affair request processing system according to claim 1, wherein the investigation module is used for collecting government affair requests received by a control center in a preset period of time and analyzing keywords of the government affair requests to obtain target keywords, and sorting the target keywords according to the number of occurrence times; the browsing module is used for collecting browsing records of citizens in a preset period of time and analyzing the browsing records to obtain a communication factor value TX between the citizens and the government platform; the information pushing module is used for receiving the communication factor value TX and determining an affinity level corresponding to the communication factor value TX by combining a database;
when citizens log in the browsing module through the intelligent terminal to browse city construction data stored in the government affair platform; the information pushing module is used for determining corresponding information reminding contents according to the corresponding intimacy level and the sorted target keywords; and feeding corresponding information reminding contents back to the intelligent terminals of citizens.
3. The cloud computing-based intelligent government affair request processing system according to claim 2, wherein the specific analysis steps of the browsing module are as follows: counting the browsing times of citizens in a preset period of time and marking the browsing times as K1; counting the total browsing duration of citizens and marking as ZT; calculating the time difference between two adjacent browsing end moments and browsing start moment to obtain single browsing interval duration; summing all the single browsing interval durations and taking an average value to obtain an average interval duration PT; the communication factor value is calculated using the formula tx= (k1×d1+zt×d2)/PT.
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