CN116049410B - Smart city big data processing method and system - Google Patents
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Abstract
The invention is applicable to the technical field of data processing, and provides a smart city big data processing method and system, wherein the method comprises the following steps: receiving city resident data, wherein the city resident data is marked with data types and data attributes; when the data type is urgent, the urban resident data are sent to the corresponding urgent artificial account according to the data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library; classifying urban resident data in the problem to-be-processed library at intervals of set time values to obtain a plurality of problem categories; and counting urban resident data in each problem category, and sending the problem categories to the artificial account numbers of the corresponding levels according to the counting quantity. The invention can reasonably distribute the urban resident data according to the attention degree of residents, and the answer of the staff to one urban resident data in the question category is equivalent to the answer to all urban resident data, thereby improving the working efficiency.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a system for processing big data in a smart city.
Background
The residents are owners of the cities, the residents can find problems in the cities in the daily life process, the problems possibly leave messages on websites of related departments to form resident data, and in the application scene of the smart city, the processing flow of the resident data is basically as follows: the staff distributes according to departments to which the user events to be processed belong, and because of the numerous departments, the resident data are also numerous, the workload of distributing the resident data completely by manpower is very large, the labor cost and the time cost are greatly increased, and a large amount of public resources are wasted. Therefore, there is a need to provide a smart city big data processing method and system, which aims to solve the above problems.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a smart city big data processing method and system so as to solve the problems existing in the background art.
The invention is realized in such a way that a smart city big data processing method comprises the following steps:
receiving city resident data, wherein the city resident data is marked with a data type and a data attribute, the data type is urgent or general, and the data attribute comprises an event type and an event place;
judging the data type, and when the data type is urgent, transmitting the urban resident data to a corresponding urgent artificial account according to the data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library;
automatically classifying the urban resident data in the problem to-be-processed library every set time value to obtain a plurality of problem categories, wherein the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is greater than the set matching value;
counting urban resident data in each problem category, and sending the problem categories to the artificial account numbers of the corresponding levels according to the counting quantity;
receiving a question answer uploaded by the artificial account, marking a corresponding question category on the question answer, and sending the question answer to resident accounts corresponding to all city resident data in the question category;
and when detecting that the urban resident consults the answer of the question, sending an evaluation questionnaire, and when the evaluation is bad, reserving urban resident data, otherwise, clearing the urban resident data, and sending the reserved urban resident data to the artificial account of the previous level.
As a further scheme of the invention: the step of sending the city resident data to the corresponding emergency artificial account according to the data attribute specifically comprises the following steps:
transmitting data attributes of urban resident data to an attribute account library, wherein the attribute account library comprises a plurality of emergency artificial accounts, and each emergency artificial account is marked with an event type and an event place;
and outputting a corresponding emergency artificial account number, and sending the urban resident data to the emergency artificial account number.
As a further scheme of the invention: the step of sending the city resident data to the corresponding emergency artificial account according to the data attribute further comprises the following steps: and judging the event type, and automatically calling a prevention and control map around the event place when the event type belongs to a dangerous event, wherein a dangerous source area, a people flow gathering area and a key protection area are marked on the prevention and control map.
As a further scheme of the invention: the method further comprises the steps of:
receiving a problem checking instruction input by urban residents, and displaying urban resident data in a problem to-be-processed library;
receiving advice information input by urban residents, wherein each advice information corresponds to urban resident data;
and synchronously transmitting the suggestion information corresponding to all city resident data in the problem category to the artificial account when the problem category is detected to be transmitted to the artificial account.
As a further scheme of the invention: matching degree between two city resident data=2×the same number of characters between two city resident data/sum of the number of characters of two city resident data.
Another object of the present invention is to provide a smart city big data processing system, the system comprising:
the resident data receiving module is used for receiving urban resident data, wherein the urban resident data is marked with a data type and a data attribute, the data type is urgent or general, and the data attribute comprises an event type and an event place;
the data type judging module is used for judging the data type, and when the data type is urgent, the urban resident data are sent to the corresponding urgent artificial account according to the data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library;
the resident data classification module is used for automatically classifying the urban resident data in the problem to-be-processed library at intervals of set time values to obtain a plurality of problem categories, the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is larger than the set matching value;
the resident data sending module is used for counting urban resident data in each problem category and sending the problem categories to the artificial account numbers of the corresponding levels according to the counting quantity;
the system comprises a question answer determining module, a question answer processing module and a control module, wherein the question answer determining module is used for receiving a question answer uploaded by a manual account, the question answer is marked with a corresponding question category, and the question answer is sent to resident accounts corresponding to all city resident data in the question category;
and the question reply feedback module is used for sending an evaluation questionnaire when detecting the answer of the urban resident reference questions, reserving urban resident data when the evaluation is poor, and otherwise, clearing the urban resident data, and sending the reserved urban resident data to the artificial account of the previous level.
As a further scheme of the invention: the data type determination module includes:
the data attribute input unit is used for sending the data attribute of the urban resident data to the attribute account library, wherein the attribute account library comprises a plurality of emergency artificial accounts, and each emergency artificial account is marked with an event type and an event place;
and the emergency artificial account output unit is used for outputting a corresponding emergency artificial account and sending the urban resident data to the emergency artificial account.
As a further scheme of the invention: the data type judging module is also used for judging the event type, and when the event type belongs to a dangerous event, the data type judging module automatically retrieves a prevention and control map around the event place, wherein the prevention and control map is marked with a dangerous source area, a people flow gathering area and a key protection area.
As a further scheme of the invention: the system also comprises a city resident suggestion module, and the city resident suggestion module specifically comprises:
the problem checking instruction unit is used for receiving a problem checking instruction input by urban residents and displaying urban resident data in a problem to-be-processed library;
the system comprises a suggestion information receiving unit, a calculation unit and a calculation unit, wherein the suggestion information receiving unit is used for receiving suggestion information input by urban residents, and each piece of suggestion information corresponds to urban resident data;
and the advice information sending unit is used for synchronously sending advice information corresponding to all city resident data in the problem category to the artificial account when the problem category is detected to be sent to the artificial account.
Compared with the prior art, the invention has the beneficial effects that:
firstly, the invention can process all types of urban resident data, and residents do not need to specially search related departments and websites to leave messages; in addition, the urban resident data in the problem to-be-processed library are automatically classified at intervals of set time values to obtain a plurality of problem categories, the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is larger than the set matching value, so that all the urban resident data in each problem category are basically the same, and the answer to one urban resident data in the problem category is equivalent to the answer to all the urban resident data in the problem category, thereby greatly improving the working efficiency; furthermore, the urban resident data in each problem category is counted, and the problem categories are sent to the artificial account numbers of the corresponding levels according to the counting quantity, so that the urban resident data can be reasonably distributed according to the importance degree and the care degree of residents; in addition, when detecting that urban resident consults the problem answer, send the evaluation questionnaire, when evaluating to be poor, urban resident data keeps, and the urban resident data that keeps sends the artificial account of last level, and the artificial account of higher level is handled once more, so, every urban resident data can all obtain proper processing, promotes the intelligent and the fine management level in city.
Drawings
Fig. 1 is a flowchart of a smart city big data processing method.
Fig. 2 is a flowchart of a smart city big data processing method for transmitting city resident data to a corresponding emergency account according to data attributes.
Fig. 3 is a flowchart of a method for processing smart city big data to receive a problem viewing instruction input by a city resident.
Fig. 4 is a schematic diagram of a smart city big data processing system.
FIG. 5 is a schematic diagram showing the structure of a data type determining module in a smart city big data processing system.
Fig. 6 is a schematic diagram showing the construction of a city resident advice module in the smart city big data processing system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a smart city big data processing method, which includes the following steps:
s100, urban resident data is received, wherein the urban resident data is marked with data types and data attributes, the data types are urgent or general, and the data attributes comprise event types and event places;
s200, judging the data type, and when the data type is urgent, transmitting the urban resident data to a corresponding urgent artificial account according to the data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library;
s300, automatically classifying the urban resident data in the problem to-be-processed library every set time value to obtain a plurality of problem categories, wherein the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is larger than the set matching value;
s400, counting urban resident data in each problem category, and sending the problem categories to the artificial account numbers of the corresponding levels according to the counting quantity;
s500, receiving a question answer uploaded by the artificial account, marking a corresponding question category on the question answer, and sending the question answer to resident accounts corresponding to all city resident data in the question category;
and S600, when detecting that the urban resident consults the answer of the question, sending an evaluation questionnaire, and when the evaluation is bad, reserving urban resident data, otherwise, clearing the urban resident data, and sending the reserved urban resident data to the artificial account of the previous level.
It should be noted that, in the application scenario of smart city, the processing flow of resident data is basically: the staff distributes according to departments to which the user events to be processed belong, and because of the numerous departments, the resident data are also numerous, the workload of distributing the resident data completely by manpower is very large, the labor cost and the time cost are greatly increased, and a large amount of public resources are wasted.
In the embodiment of the invention, when residents input urban resident data, data types and data attributes need to be selected, wherein the data types are urgent or general, the data attributes comprise event types and event places, for example, the event types comprise medical treatment, housing, environment, fire fighting, education and the like, and the event places can be specific to a certain street; then, judging the data type, and when the data type is urgent, sending the urban resident data to a corresponding urgent artificial account according to the data attribute, wherein the urgent artificial account is directly in one-to-one contact with the resident account, so as to process an urgent event at the highest speed; when the data types are general, the urban resident data are sent to the problem to be processed library, and the embodiment of the invention automatically classifies the urban resident data in the problem to be processed library every set time value (for example, every three days) to obtain a plurality of problem categories, wherein the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is greater than the set matching value (for example, 80%), and the embodiment is specific: the matching degree between two city resident data=2×the same number of characters between two city resident data/the sum of the number of characters of two city resident data, so that all city resident data in each question category are basically the same, and answering one city resident data in the question category is equivalent to answering all city resident data in the question category, thereby greatly improving the working efficiency; further, in order to enable distribution of urban resident data to be more scientific, reasonable distribution can be performed according to importance degrees and care degrees of residents, the embodiment of the invention counts urban resident data in each problem category, and sends the problem category to corresponding-level artificial accounts according to the counted number, for example, the artificial accounts are divided into a first-level artificial account, a second-level artificial account, a third-level artificial account and a fourth-level artificial account, wherein the first-level artificial account is a basic-level artificial account, the corresponding street personnel are the higher the level, the greater the jurisdiction is, the artificial account of each level is provided with a minimum threshold, when the number of urban resident data in the problem category reaches the minimum threshold, the problem category is sent to the artificial account of the corresponding level, for example, the minimum threshold of the first-level artificial account is 0, the minimum threshold of the first-level artificial account is 20, and the number of urban resident data in a certain problem category is 16, and then the first-level artificial account is sent; it is easy to understand that the larger the number, the more concerned the resident is, and the higher the artificial account number will be. After the staff checks, the uploaded problem answers are marked with corresponding problem categories, and the problem answers are sent to resident accounts corresponding to all city resident data in the problem categories; in addition, when detecting urban resident consulting problem answers, an evaluation questionnaire is sent, residents fill in, when the evaluation is poor, urban resident data are reserved, otherwise, the urban resident data are cleared from a problem pending library, the explanation problem is solved, the reserved urban resident data are sent to a manual account number of the previous level, and the reserved urban resident data are processed again by the manual account number of the higher level, so that each urban resident data can be properly processed, and the intelligent and fine management level of a city is improved.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of sending the city resident data to the corresponding emergency account according to the data attribute specifically includes:
s201, data attributes of urban resident data are sent to an attribute account library, wherein the attribute account library comprises a plurality of emergency artificial accounts, and each emergency artificial account is marked with an event type and an event place;
s202, outputting a corresponding emergency artificial account, and sending city resident data to the emergency artificial account.
In the embodiment of the invention, the attribute account library is established in advance, and comprises a plurality of emergency artificial accounts, and each emergency artificial account is marked with an event type and an event place, so that the corresponding emergency artificial account can be matched according to the data attribute of urban resident data. In addition, the embodiment of the invention also judges the event type, when the event type belongs to a dangerous event, for example, fire fighting is listed into the dangerous event, a prevention and control map around the event place is automatically called, a dangerous source area, a people stream gathering area and a key protection area are marked on the prevention and control map, the dangerous source area refers to an area containing inflammable and explosive objects, the people stream gathering area refers to an area containing large people flow, such as a mall and a station, and the key protection area refers to an area needing special attention, such as a school and a nursing home, so that the personnel can conveniently carry out overall planning, and a solution is rapidly given.
As shown in fig. 3, as a preferred embodiment of the present invention, the method further includes:
s701, receiving a problem viewing instruction input by urban residents, and displaying urban resident data in a problem to-be-processed library;
s702, receiving advice information input by urban residents, wherein each advice information corresponds to urban resident data;
and S703, synchronously transmitting the suggestion information corresponding to all city resident data in the problem category to the artificial account when the problem category is detected to be transmitted to the artificial account.
In the embodiment of the invention, since the residents are owners of cities, the residents can also give suggestions for the existing problems, and particularly, the residents of the cities input a problem viewing instruction to display city resident data in a problem to-be-processed library, then the residents of the cities input suggestion information, each of the suggestion information is an answer to one of the city resident data, and when the fact that the problem category is sent to the artificial account is detected, the suggestion information corresponding to all the city resident data in the problem category is synchronously sent to the artificial account. Therefore, when the staff makes the question reply, the staff can refer to the suggestion information, so that the question reply accords with the opinion more.
As shown in fig. 4, an embodiment of the present invention further provides a smart city big data processing system, the system including:
a resident data receiving module 100 for receiving city resident data, wherein the city resident data is marked with a data type and a data attribute, the data type is urgent or general, and the data attribute comprises an event type and an event location;
the data type determining module 200 is configured to determine a data type, and when the data type is urgent, send the urban resident data to a corresponding urgent artificial account according to a data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library;
the resident data classification module 300 is configured to automatically classify the city resident data in the to-be-processed problem library at intervals of a set time value to obtain a plurality of problem categories, wherein the data attribute of all city resident data in each problem category is the same, and the matching degree between any two city resident data is greater than the set matching value;
the resident data sending module 400 is configured to count urban resident data in each problem category, and send the problem category to the corresponding level of the artificial account according to the count number;
the question answer determining module 500 is configured to receive a question answer uploaded by the artificial account, mark a corresponding question category on the question answer, and send the question answer to resident accounts corresponding to all city resident data in the question category;
the question reply feedback module 600 is configured to send an evaluation questionnaire when detecting a answer to a city resident review question, and to reserve city resident data when the evaluation is bad, otherwise clear the city resident data, and send the reserved city resident data to the last-level account number.
As shown in fig. 5, as a preferred embodiment of the present invention, the data type determining module 200 includes:
a data attribute input unit 201, configured to send a data attribute of urban resident data to an attribute account library, where the attribute account library includes a plurality of emergency account numbers, and each emergency account number is marked with an event type and an event location;
the emergency account number output unit 202 is configured to output a corresponding emergency account number, and send city resident data to the emergency account number.
As a preferred embodiment of the present invention, the data type determining module 200 is further configured to determine an event type, where when the event type belongs to a dangerous event, the data type determining module automatically retrieves a prevention and control map around the event location, and the prevention and control map is marked with a dangerous source area, a people stream gathering area and a key protection area.
As shown in fig. 6, as a preferred embodiment of the present invention, the system further includes a city resident advice module 700, and the city resident advice module 700 specifically includes:
a problem viewing instruction unit 701, configured to receive a problem viewing instruction input by a city resident, and display city resident data in a problem to-be-processed library;
a advice information receiving unit 702 for receiving advice information input by urban resident, each advice information corresponding to urban resident data;
and a advice information transmitting unit 703, when detecting that the problem category is transmitted to the artificial account, for synchronously transmitting advice information corresponding to all city resident data in the problem category to the artificial account.
The foregoing description of the preferred embodiments of the present invention should not be taken as limiting the invention, but rather should be understood to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (4)
1. A smart city big data processing method, characterized in that the method comprises the following steps:
receiving city resident data, wherein the city resident data is marked with a data type and a data attribute, the data type is urgent or general, and the data attribute comprises an event type and an event place;
judging the data type, and when the data type is urgent, transmitting the urban resident data to a corresponding urgent artificial account according to the data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library;
automatically classifying the urban resident data in the problem to-be-processed library every set time value to obtain a plurality of problem categories, wherein the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is greater than the set matching value; the method comprises the steps that all city resident data in each question category are basically the same, and answering one city resident data in the question category is equivalent to answering all city resident data in the question category;
counting urban resident data in each problem category, and sending the problem categories to the artificial account numbers of the corresponding levels according to the counting quantity;
receiving a question answer uploaded by the artificial account, marking a corresponding question category on the question answer, and sending the question answer to resident accounts corresponding to all city resident data in the question category;
when detecting that urban residents consult a problem answer, sending an evaluation questionnaire, and when the evaluation is bad, reserving urban resident data, otherwise, clearing the urban resident data, and sending the reserved urban resident data to a manual account number of the previous level;
the method further comprises the steps of:
receiving a problem checking instruction input by urban residents, and displaying urban resident data in a problem to-be-processed library;
receiving advice information input by urban residents, wherein each advice information corresponds to urban resident data;
when the problem category is detected to be sent to the artificial account, synchronously sending the suggestion information corresponding to all city resident data in the problem category to the artificial account;
matching degree between two city resident data = 2 the same number of characters between two city resident data/sum of the number of characters of two city resident data;
the step of sending the city resident data to the corresponding emergency artificial account according to the data attribute specifically comprises the following steps:
transmitting data attributes of urban resident data to an attribute account library, wherein the attribute account library comprises a plurality of emergency artificial accounts, and each emergency artificial account is marked with an event type and an event place;
and outputting a corresponding emergency artificial account number, and sending the urban resident data to the emergency artificial account number.
2. The smart city big data processing method of claim 1, wherein the step of transmitting the city resident data to the corresponding emergency manual account according to the data attribute further comprises: and judging the event type, and automatically calling a prevention and control map around the event place when the event type belongs to a dangerous event, wherein a dangerous source area, a people flow gathering area and a key protection area are marked on the prevention and control map.
3. A smart city big data processing system, the system comprising:
the resident data receiving module is used for receiving urban resident data, wherein the urban resident data is marked with a data type and a data attribute, the data type is urgent or general, and the data attribute comprises an event type and an event place;
the data type judging module is used for judging the data type, and when the data type is urgent, the urban resident data are sent to the corresponding urgent artificial account according to the data attribute; when the data type is general, urban resident data is sent to a problem to-be-processed library;
the resident data classification module is used for automatically classifying the urban resident data in the problem to-be-processed library at intervals of set time values to obtain a plurality of problem categories, the data attribute of all the urban resident data in each problem category is the same, and the matching degree between any two urban resident data is larger than the set matching value; matching degree between two city resident data = 2 the same number of characters between two city resident data/sum of the number of characters of two city resident data; the method comprises the steps that all city resident data in each question category are basically the same, and answering one city resident data in the question category is equivalent to answering all city resident data in the question category;
the resident data sending module is used for counting urban resident data in each problem category and sending the problem categories to the artificial account numbers of the corresponding levels according to the counting quantity;
the system comprises a question answer determining module, a question answer processing module and a control module, wherein the question answer determining module is used for receiving a question answer uploaded by a manual account, the question answer is marked with a corresponding question category, and the question answer is sent to resident accounts corresponding to all city resident data in the question category;
the problem reply feedback module is used for sending an evaluation questionnaire when detecting that urban residents consult a problem reply, reserving urban resident data when evaluating to be poor, otherwise, clearing the urban resident data, and sending the reserved urban resident data to a manual account number of the previous level;
the system also comprises a city resident suggestion module, and the city resident suggestion module specifically comprises:
the problem checking instruction unit is used for receiving a problem checking instruction input by urban residents and displaying urban resident data in a problem to-be-processed library;
the system comprises a suggestion information receiving unit, a calculation unit and a calculation unit, wherein the suggestion information receiving unit is used for receiving suggestion information input by urban residents, and each piece of suggestion information corresponds to urban resident data;
the proposal information sending unit is used for synchronously sending the proposal information corresponding to all city resident data in the problem category to the artificial account when the problem category is detected to be sent to the artificial account;
the data type determination module includes:
the data attribute input unit is used for sending the data attribute of the urban resident data to the attribute account library, wherein the attribute account library comprises a plurality of emergency artificial accounts, and each emergency artificial account is marked with an event type and an event place;
and the emergency artificial account output unit is used for outputting a corresponding emergency artificial account and sending the urban resident data to the emergency artificial account.
4. The smart city big data processing system of claim 3, wherein the data type determination module is further configured to determine an event type, and when the event type belongs to a dangerous event, the data type determination module automatically retrieves a prevention and control map around the event location, the prevention and control map being marked with a dangerous source area, a people stream gathering area, and a key protection area.
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