CN114282065A - Government affair big data platform data acquisition method - Google Patents

Government affair big data platform data acquisition method Download PDF

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CN114282065A
CN114282065A CN202111578626.7A CN202111578626A CN114282065A CN 114282065 A CN114282065 A CN 114282065A CN 202111578626 A CN202111578626 A CN 202111578626A CN 114282065 A CN114282065 A CN 114282065A
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data
user
action
video
document
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CN114282065B (en
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王涛
朱晓兵
李长峰
傅宝山
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Chongqing Huibo Linong Technology Co ltd
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Chongqing Huibo Linong Technology Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract

The invention belongs to the technical field of government affair services, and particularly discloses a data acquisition method for a government affair big data platform, which comprises the following steps: s1, generating an XML document or analyzing the XML document into a readable first text document by the target webpage system according to the webpage document structure; s2, collecting source data, judging the type of the source data according to preset requirements, if the type of the source data is paper data, identifying the paper data by ocr, and analyzing the paper data into a readable second text document; s3, establishing one-to-one correspondence between the XML document, the first text document and the second text document and the interface of the target webpage system, and configuring the mapping relation between the submitted webpage system and the data interface of the target webpage system; s4, automatically inputting the XML document, the first text document and the second text document into a submitted webpage system according to the mapping relation; and S5, judging whether the information submitted in the webpage system is completely recorded, if so, automatically submitting the information, and otherwise, repeating S4. The data entry efficiency of the government affair system can be improved.

Description

Government affair big data platform data acquisition method
Technical Field
The invention relates to the technical field of government affair services, in particular to a data acquisition method for a government affair big data platform.
Background
Government services are mainly centered around business consulting and business handling. The prior government affair service mainly faces to the government, the masses, the towns and the like, consultation service and business handling are carried out through a small program terminal, an intelligent television, a query machine and an outdoor large screen, but in order to conveniently count and collect various data on the government affair system, the data on the government affair system needs to be recorded into a server of a unified government department one by one.
In view of the above, patent application No. CN201711191192.9 provides an intelligent data unloading and fast automatic entry method, which includes the following steps: s1, generating a JSON document by the target webpage system according to a webpage document structure or analyzing data in the data interface into a readable text document according to a data structure; s2, configuring a mapping relation between the submitted webpage system and the target webpage system or the data interface in advance; s3, according to the mapping relation, automatically inputting the structured information and the unstructured information in the target webpage system into the submitted webpage system, or automatically inputting the information in the text document into the submitted webpage system; and S4, judging whether the information in the submitted webpage system is input completely, and if so, automatically submitting the information.
Above-mentioned scheme is through converting the document with the data on the webpage, but, data source is abundant, and data source is miscellaneous, in disorder, data format is various, just needs the manual work to check for paper data entry on the government affairs system for data collection efficiency is slow, and data collection is incomplete, and data entry efficiency is slow.
Disclosure of Invention
The scheme aims to provide a government affair big data platform data acquisition method to improve the input efficiency.
In order to achieve the purpose, the scheme provides a government affair big data platform data acquisition method, which comprises the following steps:
s1, generating an XML document or analyzing the XML document into a readable first text document by the target webpage system according to the webpage document structure;
s2, collecting paper data, identifying the paper data ocr, and analyzing the paper data into a readable second text document;
s3, establishing one-to-one correspondence between the XML document, the first text document and the second text document and the interface of the target webpage system, and configuring the mapping relation between the submitted webpage system and the data interface of the target webpage system;
s4, automatically inputting the XML document, the first text document and the second text document into a submitted webpage system according to the mapping relation;
and S5, judging whether the information submitted in the webpage system is completely recorded, if so, automatically submitting the information, and otherwise, repeating S4.
The beneficial effect of this scheme: through ocr recognition, paper data and webpage data on the system are automatically input into the webpage system without manual input, the data input efficiency is high, and the problems of complex data source, disordered data format and slow data input speed are solved.
Further, the mapping relationship is one-to-one mapping and many-to-one mapping. The method has the advantages that the document data and the XML data can be ensured to find suitable positions in the webpage system, meanwhile, in the many-to-one mapping, the problem of multiple sources of one data is automatically counted, the data entry is more comprehensive and thorough, and the data entry is not required to be performed for multiple times.
Further, in S2, if the data type of the source data is picture data, the data is directly stored.
Further, in S2, if the data type of the source data is live video data, then S2-1 is included, an action demonstration is performed, and the action demonstration video is played after the user stays for more than five minutes; after the action is confirmed, playing the action demonstration video, playing the example action video, receiving the actual action video of the user, and carrying out the next step if the actual action video of the user is consistent with the example action video; otherwise, returning to the action demonstration; collecting images, collecting and storing user input actions, and extracting key actions of the input actions; and indicating the end, and playing the ending animation. The method is characterized in that the satisfaction degree of a part of special crowds (crowds with lower education degrees) in a hall is collected by utilizing an action mode, the data of the satisfaction degree of the special crowds are collected, the satisfaction degree of most crowds is collected, the user satisfaction degree data are collected in a multi-level and all-around mode and are input into a government affair system, the method is more comprehensive, meanwhile, the action mode replaces input to reduce user waiting and operating time, and time and trouble are saved. And the action is demonstrated in advance to help special people to input the action quickly. And the action confirmation ensures that special people fully understand the meaning of the action and can correctly express the corresponding meaning through the action.
Further, the motion demonstration video is played at least three times. To ensure that special people can fully understand the action.
Further, still include: if the user sample action is incorrect by a number of times equal to three, manual help is called. The method and the device give help to special crowds so as to save user input time and improve user experience.
Further, the acquiring of the image further comprises: and playing the prompt, judging the action frequency of the user, and playing the guide characters and the sound alarm if the action frequency of the user exceeds a first threshold value. The user is reminded to slow down the action speed through playing the guide characters and the sound alarm so as to avoid fuzziness, improve the input speed of the user and save the input time. The guiding characters and the sound alarm are matched with each other to remind the user in a multi-level way.
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Fig. 1 is a schematic flow chart of embodiment 1 of the present invention.
Fig. 2 is a schematic diagram of the government affairs flow of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
A government affair big data platform data acquisition method comprises the following steps:
s1, generating XML document or analyzing the XML document into readable first text by the target webpage system according to the webpage document structure
Files (documents in the existing literature with JSON format are processed, but in consideration of expansibility, the embodiment still selects XML format, so that subsequent calculation amount can be reduced, and response time can be reduced);
at the step of S2, the method comprises the steps of, collecting source data and judging the type of the source data according to a preset requirement (in the embodiment, the type is realized by identifying a suffix name of a file, such as txt, which is a text document,. jpg, which is a picture document, and a corresponding video document is wmv, asf, asx, mov, m4v, avi, dat, mkv, flv, vob, and the like), if the type of the source data is paper data (in the embodiment, the type is judged according to the suffix, and further judgment is needed according to a pre-stored position, specifically, in the embodiment, judgment is conducted according to different folders; for example, the picture document may be paper data and needs OCR identification, or may be simple picture data and only needs to be stored; before processing, a relevant person stores the two types of pictures in different folders respectively to be read and distinguished), OCR identifying the paper data and analyzing the paper data into a second text document;
s3, establishing a one-to-one correspondence between the XML document, the first text document and the second text document and the interface of the target webpage system, and configuring the mapping relationship between the submitted webpage system and the data interface of the target webpage system (actually, the artificial definition rule is used to extract unstructured data in the second text document, and the unstructured data are disordered at the moment and then establish the mapping relationship with the first text document);
s4, automatically inputting the XML document, the first text document and the second text document into a submitted webpage system according to the mapping relation (so that a structured document can be obtained);
and S5, judging whether the information submitted in the webpage system is completely recorded, if so, automatically submitting the information, and otherwise, repeating S4.
During specific use, through ocr recognition, paper data and webpage data on the system are automatically input into the webpage system, manual input is not needed, the data input efficiency is high, and the problems that data sources are complex, data formats are disordered and the data input speed is low are solved. The mapping relationship is one-to-one mapping and many-to-one mapping. The method has the advantages that the document data and the XML data can be ensured to find suitable positions in the webpage system, meanwhile, in the many-to-one mapping, the problem of multiple sources of one data is automatically counted, the data entry is more comprehensive and thorough, and the data entry is not required to be performed for multiple times.
In S2, if the data type of the source data is picture data, the data is directly saved.
Example 2
Different from the embodiment 1, in S2, if the data type of the source data is live video data, S2-1, an action demonstration is performed, and a user stays for more than five minutes, and an action demonstration video is played; after the action is confirmed, playing the action demonstration video, playing the example action video, receiving the actual action video of the user, and carrying out the next step if the actual action video of the user is consistent with the example action video; otherwise, returning to the action demonstration; collecting images, collecting and storing user input actions, and extracting key actions of the input actions; and indicating the end, and playing the ending animation. The method is characterized in that the satisfaction degree of a part of special crowds (crowds with lower education degrees) in a hall is collected by utilizing an action mode, the data of the satisfaction degree of the special crowds are collected, the satisfaction degree of most crowds is collected, the user satisfaction degree data are collected in a multi-level and all-around mode and are input into a government affair system, the method is more comprehensive, meanwhile, the action mode replaces input to reduce user waiting and operating time, and time and trouble are saved. And the action is demonstrated in advance to help special people to input the action quickly. And the action confirmation ensures that special people fully understand the meaning of the action and can correctly express the corresponding meaning through the action.
In the action demonstration, the actions are specifically shaking and nodding, the nodding is confirmation and satisfaction, and the nodding is return and dissatisfaction. The actions of head shaking and head nodding are simple, and the operation of special crowds is convenient, so that the input time of the special crowds is prolonged. Meanwhile, the actions are demonstrated in advance to help special people to input actions quickly. In the action demonstration, the action demonstration video is played at least three times. So as to ensure that special people can fully understand the corresponding meaning of the action. The satisfaction degree acquisition of special crowds is met by utilizing an action mode, the waiting time and the operation time of a user are reduced, and time and trouble are saved.
In action confirmation, the example action video is played, such as shaking the head, the user follows to shake the head, the action of the user is correct, the next step is started, the meaning fully understood by special people is guaranteed, and the corresponding meaning can be correctly expressed through the action. And if the user sample action is incorrect, playing the video again to ensure that the user fully understands the action meaning, wherein if the user sample action is incorrect for three times or more, calling manual help. The method and the device give help to special crowds so as to save input time of the user, improve experience of the user and avoid repeated operation of the user all the time.
In acquiring the image, further comprising: and playing the prompt, judging the action frequency of the user, and playing the guide characters and the sound alarm if the action frequency of the user exceeds a first threshold value. The user is reminded to slow down the action speed through playing the guide characters and the sound alarm so as to avoid fuzziness, improve the input speed of the user and save the input time. The guiding characters and the sound alarm are matched with each other to remind the user in a multi-level way. The first threshold is specifically 3 times/2 s. When the user performs the operation three times every 2 seconds, the operation is blurred, and it is difficult to determine the user input operation. And if the first threshold value is exceeded, guiding the text and voice alarm to cooperate with each other to remind the user in multiple layers.
And finally, playing an ending animation to inform the user that the input is finished, reminding the user to leave, facilitating the understanding of special people in the form of the animation, wherein the animation can be in a text form (you finish the current satisfaction evaluation), a sound form (you finish the current satisfaction evaluation) or light and dark alternation, and reminding the personnel that the current satisfaction evaluation is finished in different modes. The method is characterized in that the satisfaction degree of a part of special crowds (crowds with lower education degrees) in a hall is collected by utilizing an action mode, the data of the satisfaction degree of the special crowds are collected, the satisfaction degree of most crowds is collected, the user satisfaction degree data are collected in a multi-level and all-around mode and are input into a government affair system, the method is more comprehensive, meanwhile, the action mode replaces input to reduce user waiting and operating time, and time and trouble are saved. And the action is demonstrated in advance to help special people to input the action quickly. And the action confirmation ensures that special people fully understand the meaning of the action and can correctly express the corresponding meaning through the action.
In this embodiment, a system for implementing the method is also disclosed, which includes:
the collecting unit is used for collecting the stay time of the user;
the collecting unit is a camera;
the processing unit is used for receiving the user action image data and the staying time length generated by the collecting unit, judging whether the user needs to assist in inputting text information according to the user action image data and the staying time length, and if the judgment result is that the user needs to assist in inputting text information (the user input time is more than 5 minutes), generating a first negative signal by the processing unit; if the judgment result is that the user does not need to assist in inputting the text information, the processing unit generates a first positive signal;
the demonstration unit is used for receiving the first positive signal and the first negative signal generated by the processing unit and selecting whether to play the demonstration video input in an auxiliary mode according to the positive first negative signal; the demonstration unit plays the demonstration video of the auxiliary input after receiving the first negative signal, and does not play the demonstration video of the auxiliary input after receiving the first positive signal;
if the stay time before the system exceeds five minutes, the user is considered to need to assist in inputting text information. For example, the camera shoots a small piece of paper and is in a satisfaction survey, the camera shoots the small piece of paper for 3 minutes and the small piece of paper is well processed, and the demonstration video of auxiliary input is not played. And the camera shoots again, so that the plums are investigated for satisfaction, and when the plums are shot by the camera for 5 minutes, the auxiliary input demonstration video is automatically played.
The demonstration video input in an auxiliary mode is actually motion demonstration video, the motion is specifically head shaking and head nodding, the head nodding is confirmation and satisfaction, and the head nodding is return and dissatisfaction. The actions of head shaking and head nodding are simple, and the operation of special crowds is convenient, so that the input time of the special crowds is prolonged.
Further comprising:
the confirming unit is used for receiving a signal of ending the demonstration video and calling a playing example video from the demonstration video;
the collecting unit is also used for collecting and storing the actual input action video of the user; after receiving a signal for calling and playing a certain section of video in the played demonstration video, the collection unit starts to collect the actual input action video of the user;
the processing unit is also used for accepting the example video generated by the confirming unit and the collecting unit and the actual input action video of the user;
judging whether the user action input video is consistent with the example video or not; if the judgment result is consistent (the action in the actually input action video is consistent with the action in the schematic video), the processing unit generates a second positive signal, and if the judgment result is inconsistent, the processing unit generates a second negative signal;
the demonstration unit is also used for receiving the second positive signal and the second negative signal generated by the processing unit and selecting whether to play the demonstration video input in an auxiliary mode according to the positive signal and the negative signal; after the demonstration unit receives the second positive signal generated by the processing unit, the demonstration unit does not play the demonstration video of the auxiliary input, and after the demonstration unit receives the second negative signal generated by the processing unit, the demonstration unit plays the demonstration video of the auxiliary input. The demonstration unit is a display screen.
The collection unit is also used for receiving the positive signal of the demonstration unit and then starting to collect the input action video of the user;
and the animation unit plays the ending animation after receiving the signal of ending the collection unit.
For example, a satisfaction survey is being conducted on a small page, and when the camera shoots that the small page is processed for 5 minutes, the auxiliary input demonstration video is automatically played. After the video playing is finished, a section of video is extracted from the video and played, for example, a head is shaken, a small piece of video follows to shake the head, the action is consistent, then the action video of the small piece is formally collected, if the small piece of video is noded, the action is inconsistent, the demonstration video is played again, after the demonstration video playing is finished, the input action video of a user is formally collected, the user satisfaction degree of the small piece of video is investigated, and after the user satisfaction degree of the small piece of video is investigated, the animation is played and finished.
Example 3
Unlike embodiment 2, the present invention further includes:
the first acquisition unit is used for acquiring expression data and behavior data of a user, and is a camera;
the control unit receives the user expression data and the behavior and action data generated by the first acquisition unit, judges whether the user has negative emotion or not according to the user expression data and the behavior and action data, and generates a first control instruction if the user has negative emotion;
the calling unit is used for calling the currently transacted item file of the user after receiving the first control instruction;
the matching unit is used for matching the user manual of the current transaction item, matching and calling the user manual of the current transaction item after receiving the first control instruction, and the user can check the user manual of the current transaction item;
the system also comprises a first sending unit for generating a unique pairing sequence and sending a user manual, after receiving a signal of double-clicking (or twice clicking) the user manual by the user, a sending request is pushed to the smart phone within a certain range to inquire whether the user agrees to receive the user manual, after receiving the signal of agreeing to click, the smart phone prompts to input the pairing sequence, and after receiving a signal of correct input pairing sequence, the user manual of currently transacted items is called and sent to the smart phone; after receiving a signal of an error input pairing sequence, not taking a user manual of currently transacted items and sending the user manual to the smart phone;
and after receiving a signal of clicking disagreement, the user manual of the current item is not sent to the smart phone.
For example, the expression data of the user with the negative emotion is angry and anxiety, the behavior and motion data of the user with the negative emotion is that the user frequently watches the mobile phone, the camera acquires 3 pictures per second, and 5 or more pictures of the user with the negative emotion within 1min are judged to be that the user has the negative emotion. When the satisfaction degree of the user is collected by the small piece, the expression of the small piece collected by the camera is angry, or the action of the small piece is frequent to use and watch the mobile phone, the control unit sends a first control instruction, the calling unit calls the currently transacted item file, and the client can check the currently transacted item file. Judging whether a user has a negative program according to the expression and the action of the user, if the user has a negative emotion, the user may be unsatisfied with a currently transacted item file, automatically calling the currently transacted item file to assist the user to see whether the transacted item has an unclear problem, meanwhile, calling a user manual of the currently transacted item by a matching unit, after the user double-clicks the user manual, pushing a sending request to a smart phone in a circle range with a radius of 3m around and generating a pairing sequence (1784), wherein the current user receives the sending request by a small piece and a small plum, the small piece controls the smart phone to click to agree, the smart phone prompts to input the pairing sequence, if the small piece is input by 1784, the first sending unit sends the user manual, if the small piece is input by 1783, the first sending unit does not send the user manual, and if the small piece controls the smart phone to click to disagree, the first transmission unit does not transmit the user manual. If the Li is used for controlling the smart phone to click and agree, the smart phone prompts to input a pairing sequence, and if the Li is input into 1111, the pairing sequence is inconsistent and a user manual is not sent; if the plum control smart phone clicks a disagreement, the first sending unit directly does not send the user manual.
The first acquisition unit, the control unit, the calling unit, the matching unit and the first sending unit are matched with each other, so that when a user surveys the satisfaction degree, the expression and the action of the user are judged, if the expression and the action of the user are judged to have negative emotion, the current transaction item is automatically called, and a user manual for transaction items is matched. The user can check the operation manual by double-clicking, and the user manual can be sent to the user to assist the user in checking whether the transaction items have unclear problems, so that the user can not check the manual directly when the transaction items have no problem to be inquired. Meanwhile, the first sending unit can send the pairing sequence and the push sending request, the user can select whether to accept the user manual, the pairing sequence ensures that only people who know the pairing sequence can receive the user manual, and the user manual related to the user handling matters is kept secret. The mobile phone further comprises a prompting unit used for prompting the user to click twice or double-click to check the user manual, wherein the prompting unit is a line of characters, and the manual can be automatically sent to the mobile phone by clicking twice or double-click. The first two times of counting are the people (special people) who are inconvenient to check the user manual according to the operation, and the first two times of counting can also be used for automatically sending the action instruction of the user manual.
Example 4
Compared with embodiment 3, the difference is only that:
the second sending unit is used for pushing and sending requests to the smart phones within a certain range (the smart phones with the display screen as the circle center and the radius within five meters) one by one after receiving a signal of double-clicking (or twice clicking) the user manual by the user;
the second acquisition unit is used for acquiring information data of the smart phone of the user and is also a camera;
the processing unit is used for receiving the data of the smart phone generated by the second acquisition unit, judging whether the data of the smart phone is a user needing to send a user operation manual or not according to the data of the smart phone, if so, sending a sending instruction, otherwise, not generating the sending instruction;
and the directional transmitting unit is used for receiving the transmitting instruction of the processing unit and transmitting the user operation manual, and the directional transmitting unit transmits the user operation manual after receiving the transmitting instruction. And the data of the smart phone is whether the smart phone is on screen or not.
The second sending unit sends sending requests to all smart phones within a certain range, if the second acquisition unit, namely the camera, acquires the bright screen of the smart phones, the smart phones are regarded as users needing to send user operation manuals, and the user operation manuals are sent, and the second acquisition unit, the second acquisition unit and the processing unit are set to ensure that the user manuals are sent to the smart phones needing to receive the user manuals as far as possible, so that the user manuals are sent directionally as far as possible, the probability that other users receive the sending requests is reduced, and one-to-one transmission is ensured as far as possible.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.

Claims (7)

1. A government affair big data platform data acquisition method is characterized by comprising the following steps:
s1, generating an XML document or analyzing the XML document into a readable first text document by the target webpage system according to the webpage document structure;
s2, collecting source data, judging the type of the source data according to preset requirements, if the type of the source data is paper data, identifying the paper data by ocr, and analyzing the paper data into a readable second text document;
s3, establishing one-to-one correspondence between the XML document, the first text document and the second text document and the interface of the target webpage system, and configuring the mapping relation between the submitted webpage system and the data interface of the target webpage system;
s4, automatically inputting the XML document, the first text document and the second text document into a submitted webpage system according to the mapping relation;
and S5, judging whether the information submitted in the webpage system is completely recorded, if so, automatically submitting the information, and otherwise, repeating S4.
2. The government affair big data platform data acquisition method according to claim 1, wherein the mapping relationship is one-to-one mapping and many-to-one mapping.
3. A government affair big data platform data acquisition method according to claim 2, wherein in S2, if the data type of the source data is picture data, the source data is directly saved.
4. A government affair big data platform data acquisition method according to claim 3, wherein in S2, if the data type of the source data is live video data, then the method further comprises S2-1, an action demonstration, wherein the user stays for more than five minutes, and plays an action demonstration video; after the action is confirmed, playing the action demonstration video, playing the example action video, receiving the actual action video of the user, and carrying out the next step if the actual action video of the user is consistent with the example action video; otherwise, returning to the action demonstration; collecting images, collecting and storing user input actions, and extracting key actions of the input actions; and indicating the end, and playing the ending animation.
5. The government affair big data platform data acquisition method according to claim 4, wherein the action demonstration video is played at least three times.
6. The government affair big data platform data acquisition method according to claim 5, further comprising: if the user sample action is incorrect by a number of times equal to three, manual help is called.
7. The government affair big data platform data acquisition method according to claim 6, wherein the acquiring of the image further comprises: and playing the prompt, judging the action frequency of the user, and playing the guide characters and the sound alarm if the action frequency of the user exceeds a first threshold value.
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