CN111694884A - Intelligent government affair request processing method based on big data - Google Patents
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Abstract
The invention relates to a big data-based intelligent government affair request processing method, which comprises the following steps: acquiring government affair request data sent by a user terminal; calculating a fit value for each of the government units with respect to the government request data, the steps comprising: acquiring a historical feature vector of historical government affair request data; creating a real-time feature vector for current government affair request data; analyzing according to the historical feature vector and the real-time feature vector to obtain a feature value of each government affair unit; calculating a fitting value of each government affair unit relative to the government affair request data according to the characteristic value of each government affair unit; and generating a government affair distribution instruction according to the fitting value of each government affair unit, and then distributing the government affair request data to the corresponding government affair unit. The invention improves the processing speed and the distribution accuracy of the government affair request, thereby highly meeting the optimization requirement of the business process of the intelligent government affair platform.
Description
Technical Field
The invention relates to the field of big data and intelligent government affairs, in particular to an intelligent government affair request processing method based on big data.
Background
The intelligent government affairs are to realize high integration of various resources of each functional department by monitoring, integrating, analyzing and intelligently responding by applying technologies such as cloud computing, big data, Internet of things and the like, and improve the business handling and management efficiency; the supervision of functions is enhanced, and the transparency of government affairs is improved; a novel high-efficiency, quick and convenient government affair management method is formed, the sustainable development of the city is guaranteed, and a good city living environment is established for enterprises and the public.
The intelligent government affairs are usually constructed on the basis of the existing electronic government affair network; constructing an information resource platform shared by multiple departments, and integrating longitudinal networks of all the departments extending to regions, communities and basic enterprises and institutions; e-government work of all departments is integrated, a unified data exchange and resource sharing platform is established, and E-government application and large concentration of information are comprehensively promoted; on the basis, an intelligent government affair platform with the functions of government affair disclosure, networking approval, responsibility tracing and intelligent decision is created.
Disclosure of Invention
In the existing intelligent government affair platform, for the government affair request initiated by the user, manual processing is generally needed for distribution, which increases the corresponding expenditure of human cost, and the processing speed is relatively slow. In addition, the existing government affair request distribution can be distributed based on simple word matching, and the distribution result is inaccurate in the processing mode. Accordingly, it is desirable to provide a more accurate method of processing to distribute the government affair requests sent by the users to the appropriate government affair units.
Aiming at the defects of the prior art, the invention provides a smart government affair request processing method based on big data, which comprises the following steps:
acquiring government affair request data sent by a user terminal;
calculating a fit value for each of the government units with respect to the government request data, the steps comprising:
acquiring a historical feature vector of historical government affair request data;
creating a real-time feature vector for current government affair request data;
analyzing according to the historical feature vector and the real-time feature vector to obtain a feature value of each government affair unit;
calculating a fitting value of each government affair unit relative to the government affair request data according to the characteristic value of each government affair unit;
and generating a government affair distribution instruction according to the fitting value of each government affair unit, and then distributing the government affair request data to the corresponding government affair unit.
According to a preferred embodiment, the deviation degree of the real-time feature vector and the historical feature vector is calculated by the formula:
g is a real-time feature vector, and H is a historical feature vector of the current government affair unit;
and sorting the deviation degrees in an ascending order, and selecting n historical feature vectors with the minimum deviation degrees, wherein n is preset manually.
According to a preferred embodiment, calculating the fit value from the feature values comprises:
the fitting value calculation module calculates a feature value s of each government affair unit according to the deviation degree of the real-time feature vector and the historical feature vector,
wherein s is a characteristic value, n is the number of the historical characteristic vectors with the minimum deviation degree from the real-time characteristic vector, and k is the index of the historical characteristic vectors.
According to a preferred embodiment, the fitting value calculation module calculates a fitting value q of each government affair unit with respect to the government affair request data based on the characteristic value of each government affair unit,
q＝meα/s
wherein q is a fitting value, m is a fitting evaluation coefficient, alpha is an enhancement index, and s is a characteristic value.
According to a preferred embodiment, the service distribution server generating the government affair distribution instruction according to the fitting value of each government affair unit comprises:
the service distribution server receives a fitting value list of all government affair units corresponding to the government affair request data;
the service distribution server selects the government affair unit with the maximum fitting value and generates a service distribution instruction based on the selection data;
and the service distribution server responds to the service distribution instruction, maps the government affair request data to the corresponding government affair unit and stores the government affair request data in the government affair history database.
According to a preferred embodiment, the user terminal is a smart device with a communication function, and comprises a smart phone, a notebook computer, a tablet computer and a desktop computer.
According to a preferred embodiment, the government affairs units comprise a market supervision unit, a social security handling unit, a property handling unit and an emergency response unit.
According to a preferred embodiment, before calculating the fitting value of each government affair unit relative to the government affair request data, the user terminal registers on the intelligent government affair cloud platform, and the method comprises the following steps:
the method comprises the steps that a user terminal sends registration request information to a smart government affair cloud platform, wherein the registration request information comprises a user identifier and identity certification information;
the identity authentication module authenticates the safety and the authenticity of the registration request information;
and when the authentication is passed, the identity authentication module adds the user identifier into a registered user list and stores the registration request information of the user in a database.
The invention has the following beneficial effects:
according to the method, the characteristic values are obtained by analyzing the historical characteristic vectors and the real-time characteristic vectors, then the fitting value of each government affair unit relative to the government affair request data is calculated according to the characteristic values, and furthermore, a government affair distribution instruction is generated according to the fitting values to distribute the government affair request data to the corresponding government affair units, so that the processing speed and the distribution accuracy of the government affair requests are improved.
In addition, the invention adopts one-stop service, and the parallel approval distribution method greatly improves the response speed, thereby highly meeting the optimization requirement of the business process of the intelligent government affair platform.
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FIG. 1 is a flow chart of a government affairs request handling method according to an exemplary embodiment;
fig. 2 is a schematic structural diagram of a smart government cloud platform according to an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
As shown in fig. 1, in one embodiment, the intelligent government affair request processing method may include the steps of:
s1) the intelligent government affair cloud platform receives government affair request data sent by the user terminal, and then performs feature extraction on the government affair request data to obtain feature information of the government affair request data.
Specifically, the characteristic information of the government affair request data includes: the relevant subject matter of the government affair request data, the keyword information, the keyword sequence, the word frequency and the like. The user terminal comprises a smart phone, a notebook computer, a tablet computer, a desktop computer and other intelligent equipment with a communication function.
S2) the identity verification module verifies whether the user sending the government affair request data is in the registration list, if the user is not in the user registration list, the identity verification module sends registration indication information to the user terminal, and the user terminal executes user registration according to the registration indication information. In particular, the method comprises the following steps of,
s2.1) the user terminal sends registration request information to the intelligent government affair cloud platform;
s2.2) the identity authentication module authenticates the security and the authenticity of the registration request information;
s2.3) when the verification is passed, the identity verification module adds the user identifier into a registered user list and stores the registration request information of the user in a database.
Optionally, the registration request information includes a user identifier and identification information.
S3) the fitting value calculation module calculates a fitting value of each government affair unit with respect to the government affair request data based on the characteristic value of each government affair unit, the step including:
s3.1) the fitting value calculation module accesses the intelligent government affair history database and extracts historical government affair request data of each government affair unit, and then historical feature vectors are created for the historical government affair request data.
Preferably, the intelligent government affairs history database comprises a plurality of government affairs unit sub-databases, and each sub-database stores historical government affairs request data of a corresponding government affairs unit. And storing the created historical feature vector and the corresponding historical government affair request data into a corresponding government affair unit sub-database.
And S3.2) the fitting value calculation module creates a real-time feature vector for the current government affair request data according to the feature information of the government affair request data.
And S3.3) the fitting value calculation module analyzes and obtains n historical feature vectors with the minimum deviation degree from the real-time feature vectors in each government affair unit according to the real-time feature vectors and the historical feature vectors, wherein n can be an integer set manually, and the preset range of n is 4, 5 and 6.
Specifically, the fitting value calculation module calculates the degree of deviation of the real-time feature vector from each of the historical feature vectors by a degree of deviation function, and the degree of deviation function of the degree of deviation of the real-time feature vector and the historical feature vectors is calculated as
Wherein G is a real-time feature vector, and H is a historical feature vector of the current government affair unit.
And the fitting value calculation module performs ascending sorting on the calculated deviation degrees and then selects n historical feature vectors with the minimum deviation degrees.
And S3.4) the fitting value calculation module obtains the characteristic value of each government affair unit according to the deviation degree analysis of the n historical characteristic vectors and the real-time characteristic vector, and calculates the fitting value of each government affair unit relative to the government affair request data according to the characteristic value of each government affair unit.
Wherein s is a characteristic value, n is the number of the historical characteristic vectors with the minimum deviation degree from the real-time characteristic vector, and k is the index of the historical characteristic vectors.
The characteristic value is used for indicating the matching degree of the government affair request data and the current government affair unit, and the smaller the characteristic value of the government affair unit is, the more the government affair request data is matched with the current government affair unit is; the larger the characteristic value, the more mismatched the government affair request data is to the current government affair unit.
The fitting value calculation module calculates the fitting value of each government affair unit relative to the government affair request data according to the characteristic value of each government affair unit
Specifically, a fitting value q is calculated,
q＝meα/s
wherein q is a fitting value, m is a fitting evaluation coefficient, alpha is an enhancement index, and s is a characteristic value.
Because the characteristic value is a key factor for calculating the fitting value, an enhancement index alpha is set when the fitting value is calculated, and the enhancement index alpha is used for controlling the enhancement degree of the characteristic value, so that the influence degree of the characteristic value on the calculation of the fitting value is increased, and the calculation result of the fitting value is more accurate.
Preferably, word segmentation processing is carried out on government affair request data, keywords are screened out, the keywords comprise tone words and core words, keyword frequency information, namely the frequency of occurrence of each keyword is analyzed, then a fitting evaluation coefficient is analyzed, and the fitting evaluation coefficient calculation formula is
Where i is the core word index, t is the core word number, DiIs the weight of the ith core word, PiThe word frequency of the ith core word. The core words are words with more occurrence times in the user history transmitted government affair request data.
S4), the fitting value calculation module sends the fitting value of each government affair unit to the service distribution server, the service distribution server generates a service distribution instruction according to the fitting value of each government affair unit, then the government affair request data are mapped to the corresponding government affair unit, and the government affair request data are stored in the government affair history database.
Optionally, step S4 includes:
s4.1) the service distribution server receives the fitting value list of all government affair units corresponding to the government affair request data.
S4.2) the service distribution server selects the government affair unit with the highest fitting value and generates a service distribution instruction based on the selection data.
S4.3) the service distribution server responds to the service distribution instruction, maps the government affair request data to the corresponding government affair unit, and stores the government affair request data in a government affair history database. In addition, the government affair request data can be stored in the corresponding government affair unit sub-database.
In this embodiment, the government affair request data is assigned to the government affair unit having the highest fitting value based on the fitting value list. Therefore, the distribution of the government affair request data does not need selection of users or managers, the efficiency and convenience of the distribution of the government affair request data are improved, and meanwhile, the related labor cost is reduced.
According to the method, the characteristic values are obtained by analyzing the historical characteristic vectors and the real-time characteristic vectors, then the fitting value of each government affair unit relative to the government affair request data is calculated according to the characteristic values, and furthermore, a government affair distribution instruction is generated according to the fitting values to distribute the government affair request data to the corresponding government affair units, so that the processing speed and the distribution accuracy of the government affair requests are improved.
In addition, the invention adopts one-stop service, and the parallel approval distribution method greatly improves the response speed, thereby highly meeting the optimization requirement of the business process of the intelligent government affair platform.
In addition, the invention creates a history feature vector by history request data in each government affair unit sub-database, thereby calculating the feature value of each government affair unit, calculates the fitting value of each government affair unit relative to the government affair request data according to the feature value of each government affair unit and the fitting evaluation coefficient of the government affair request data, and matches the government affair unit most suitable for the current user request based on the fitting value.
The method and the device match the government affair units most suitable for the user request based on the fitting values, greatly improve the efficiency and reduce the labor cost. In addition, the situation that the allocation result is inaccurate due to manual allocation is reduced. In the invention, the more historical government affair request data, the more accurate the finally calculated fitting value and the more accurate the matched government affair unit.
Preferably, after the government affair request data are mapped to the corresponding government affair units, the government affair request data and the corresponding real-time feature vectors are stored in the corresponding government affair unit sub-database. Thus, the historical government affair request data can be used for processing the next government affair request data, and the more times the system is used for processing the government affair request data, the more the historical government affair request data is, the more accurate the processing result of the government affair request data is.
Preferably, the government affair units comprise a market supervision unit, a social security handling unit, a real estate handling unit and an emergency response unit.
In another embodiment, step S4 includes:
s4.1) the service distribution server receives a fitting value list of all government affair units corresponding to the government affair request data;
s4.2) the service distribution server selects the first X government affair units with the largest fitting values, generates a user selection list and sends the user selection list to the user terminal, and the user selects according to the requirements of the user to generate user selection data;
preferably, X is the number of government affair units in the user selection list, and X can be set according to the user requirement or the accuracy of the fitting value, and is generally set to 3.
S4.3) the user terminal sends the user selection data to the service distribution server, and the service distribution server generates a service distribution instruction based on the selection data and sends the service distribution instruction to the service distribution server;
s4.4) the service distribution server responds to the service distribution instruction and maps the government affair request data to the corresponding government affair unit.
In this embodiment, after receiving the list of fitting values, the service distribution server sends the list of X government affair units with the highest fitting values to the user terminal, and the user selects the government affair unit by himself for further consultation. When the embodiment distributes the government affair request data to the government affair units, system recommendation and user active selection are combined, the space for the user to select autonomously is provided, and the use experience of the user can be effectively improved.
Referring to fig. 2, in one embodiment, the smart government cloud platform comprises an identity verification module, a fitting value calculation module, a business distribution server, a government history database and a government unit, wherein the government unit comprises a market supervision unit, a social security handling unit, a real estate handling unit and an emergency response unit.
The business distribution server and the government affair history database are respectively in communication connection with the fitting value calculation module.
The intelligent government affair cloud platform acquires government affair request data sent by the user terminal. The identity authentication module is used for judging whether the user is registered on the intelligent government affair cloud platform or not and sending registration indication information to the user terminal when the user is not registered on the intelligent government affair cloud platform.
Specifically, the registration process includes: the identity authentication module authenticates the security and the authenticity of the registration request information sent by the user terminal;
and when the authentication is passed, the identity authentication module adds the user identifier into a registered user list and stores the registration request information of the user in a database. The registration request information includes a user identifier and identification information.
And the fitting value calculation module is used for calculating the fitting value of each government affair unit relative to the government affair request data.
And the fitting value calculation module sends the fitting value of each government affair unit to the service distribution server, the service distribution server generates a service distribution instruction according to the fitting value of each government affair unit, and then sends the government affair request data to the corresponding government affair unit and stores the government affair request data in a government affair history database.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.
Claims (8)
1. A smart government affair request processing method based on big data is characterized by comprising the following steps:
acquiring government affair request data sent by a user terminal;
calculating a fit value for each of the government units with respect to the government request data, the steps comprising:
acquiring a historical feature vector of historical government affair request data;
creating a real-time feature vector for current government affair request data;
analyzing according to the historical feature vector and the real-time feature vector to obtain a feature value of each government affair unit;
calculating a fitting value of each government affair unit relative to the government affair request data according to the characteristic value of each government affair unit;
and generating a government affair distribution instruction according to the fitting value of each government affair unit, and then distributing the government affair request data to the corresponding government affair unit.
2. The method of claim 1, wherein the degree of deviation between the real-time feature vector and the historical feature vector is calculated by the formula:
g is a real-time feature vector, and H is a historical feature vector of the current government affair unit;
and sorting the deviation degrees in an ascending order, and selecting n historical feature vectors with the minimum deviation degrees.
3. The method of claim 2, wherein calculating fit values from the feature values comprises:
the fitting value calculation module calculates a feature value s of each government affair unit according to the deviation degree of the real-time feature vector and the historical feature vector,
wherein s is a characteristic value, n is the number of the historical characteristic vectors with the minimum deviation degree from the real-time characteristic vector, and k is the index of the historical characteristic vectors.
4. A method according to claim 3 wherein the fitting value calculation module calculates a fitting value q for each government affair unit with respect to the government affair request data based on the characteristic value of each government affair unit,
q＝meα/s
wherein q is a fitting value, m is a fitting evaluation coefficient, alpha is an enhancement index, and s is a characteristic value.
5. The method of claim 4, wherein the service distribution server generating the government affairs distribution instruction according to the fitted value of each government affair unit comprises:
the service distribution server receives a fitting value list of all government affair units corresponding to the government affair request data;
the service distribution server selects the government affair unit with the maximum fitting value and generates a service distribution instruction based on the selection data;
and the service distribution server responds to the service distribution instruction, maps the government affair request data to the corresponding government affair unit and stores the government affair request data in the government affair history database.
6. The method according to claim 5, wherein the user terminal is a smart device with communication function, which comprises a smart phone, a notebook computer, a tablet computer and a desktop computer.
7. The method of claim 6, wherein the government units include a market administration unit, a social security handling unit, a property handling unit, and an emergency response unit.
8. The method according to claim 7, wherein prior to calculating the fit value of each government unit to the government request data, the user terminal registers on a smart government cloud platform comprising:
the method comprises the steps that a user terminal sends registration request information to a smart government affair cloud platform, wherein the registration request information comprises a user identifier and identity certification information;
the identity authentication module authenticates the safety and the authenticity of the registration request information;
and when the authentication is passed, the identity authentication module adds the user identifier into a registered user list and stores the registration request information of the user in a database.
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| Publication number | Publication date |
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| CN111694884B (en) | 2020-12-29 |
| CN112258009B (en) | 2021-10-26 |
| CN112258009A (en) | 2021-01-22 |
| CN112241873A (en) | 2021-01-19 |
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