CN112364614A - Information acquisition and filling method for intelligently managing nature people based on big data base socialization - Google Patents
Information acquisition and filling method for intelligently managing nature people based on big data base socialization Download PDFInfo
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Abstract
The invention discloses a big data base socialization intelligent natural person management information acquisition and filling method, which comprises the following steps: performing knowledge association based on the state and the attribute of each human life event to form a knowledge base; collecting forms according to department service design, avoiding repeated collection through label management, and analyzing, sorting and merging fields in all department service forms to be collected; managing the label items; standard electronization is carried out and is used as a unique code to be recorded into a data element of the system; the method comprises the following steps of (1) carrying out dragging type customization and management on an information acquisition form by taking department business requirements as guidance; configuring form authority according to the information acquisition flow related to the department requirement; removing repeated fields with the same meaning according to the electronic form configured by the department; comparing with a large data center in the city; comparing and approving the data; and pushing the service data acquired by the base layer as required and auditing the data.
Description
Technical Field
The invention relates to a big data base socialization intelligent natural person management information acquisition and filling method.
Background
In the basic daily management work, various reports are needed by each government department, and much information feedback is mainly transmitted by paper materials; inaccurate, untimely, and conflicting data can delay the strength and efficiency of administrative and department decisions. Such as: information of natural person registration: the old, women of childbearing age, difficult people, disabled people, criminal interpretation and education personnel and the like do not have an information system which can cover all attributes of one person so far; all information of one person cannot be collected at one time; and the statistical form required by the service cannot be automatically generated according to the service requirement.
Most of data statistics at the present stage depend on manual statistics of base-level community workers, so that a great amount of manpower and material resources are consumed for collecting, sorting and statistically analyzing data in the base level. Meanwhile, specific information cannot be quickly and accurately positioned or different types of information cannot be searched in a fuzzy manner from a large amount of basic data of flowing natural people. The concrete points are as follows:
1. the data acquisition requirements are mostly temporary, and acquisition and statistical work needs to be completed in a very short time, so that great working pressure is added to primary workers;
2. each department independently collects data, the data are not shared, and one data is reported in multiple heads. After reporting, the data base layer is not reserved, and one data is reported for multiple times after being filled again each time;
3. most of data are reported by paper, and the meaning of the character representation cannot be judged after a long time or when people are replaced and recognized, so that the data accuracy is low;
4. unnecessary data class, length, effective rule limitation and mutual relation examination, and uncontrollable overall quality;
5. the basic layer accumulates a large amount of paper data, but increasing data cannot be searched by manual screening.
Disclosure of Invention
The invention aims to provide a method for intelligently managing natural person information acquisition and filling based on a big data base socialization, which can configure menus required to be acquired by a business department, generate labels related to all life cycle fields of people, and compare the labels with a big data center in the market, so that the base does not need to touch many times, one-mouth acquisition is achieved, and intelligent filling is realized; meanwhile, necessary data verification, cleaning and fusion are carried out on the data, and the data reuse rate is increased.
In order to achieve the purpose, the invention provides a natural person information acquisition and filling method based on big data base layer socialization intelligent control, which comprises the following steps:
step one, performing knowledge correlation based on the state and the attribute of each human life event to form a knowledge base, realizing the full life cycle carding of the history change process from birth to death of a natural human object, and acquiring the related information of the natural human;
secondly, collecting forms according to department service design, avoiding repeated collection through label management, analyzing, sorting and merging fields in all department service forms to be collected, wherein each field after processing is a unique label;
step three, managing the label items;
electronizing the national standard, the local standard and the industrial standard, and inputting the electronized codes serving as unique codes into data elements of the system;
fifthly, dragging type customization and management of the information acquisition form are carried out by taking the department service requirement as guidance; according to a paper collection form related to a department, a data collection electronic form of the department is constructed by using the contents of the existing tags in the urban portrait system, data items in data element management and the like;
step six, configuring form authority according to the information acquisition flow related to the department requirement;
removing repeated fields with the same meaning according to the electronic form configured by the department;
step eight, comparing with a municipal big data center, directly reading municipal big data after the input name and the identity card are authorized, associating through the identity card, and displaying on a form;
step nine, comparing and approving the data, so that the data using department continuously compares and verifies the data in the process of quoting and sharing the data of the authoritative department, and feeds back the doubtful data to the relevant department for verification and calibration in time, thereby improving the accuracy and the uniqueness of the data; meanwhile, basic difference data of the base layer are stored for later-stage check of other departments;
step ten, pushing the service data collected by the base layer to service systems needing to be reported in various districts and the like according to requirements and auditing the data.
Preferably, step three includes setting tag name, tag type, data type, authority, update period, according to standard, related form reference information.
Preferably, step four includes setting the standard related information: the association relation among the standard word size, the standard serial number, the standard name, the issuing organization, the standard introduction and the standard;
and, the number of sharing according to a certain standard is divided into a common data standard and an exclusive sharing standard.
Preferably, the form authority in the sixth step includes the collection start and stop time, the initiating department, the collection scope, the responsible person and the contact telephone of the form.
Preferably, the step ten of auditing the data mainly comprises: whether the acquired data is complete or not and whether obvious errors exist or not; and returning the data which do not meet the standard to the collector, and supplementing the data by the collector.
Preferably, the method further comprises the step eleven: and forming a mechanism and leaving marks on all records used in the steps one to ten, and taking the marks as a work performance assessment standard to perform scoring assessment.
According to the technical scheme, the automatic filling data verification is completed according to the cleaning association of multi-source heterogeneous data mainly according to government affair business department data accumulated by government affair big data for many years. And generating a collection form based on clicking or visually dragging the control, and finishing the collection of the intelligent treatment natural people so as to solve the problem of pain points collected by the existing paper of the basic layer.
By combing the standard labels in the natural human holographic life cycle, the basic level only needs to check the data. Meanwhile, the basic information, trace information and public management state information of government affairs handling are shared in real time for the basic layer, and the open type department business application system is accessed through a standard flow interface, so that the problems of repeated acquisition and repeated filling of the basic layer are reduced.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow diagram of a method for intelligently managing nature information acquisition and filling based on big data base socialization according to the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
In the present invention, unless otherwise specified, the directional terms included in the terms merely represent the directions of the terms in a conventional use state or are colloquially known by those skilled in the art, and should not be construed as limiting the terms.
Referring to fig. 1, the invention provides a method for intelligently managing natural people information acquisition and filling based on big data base socialization, which comprises the following steps:
step one, performing knowledge correlation based on the state and the attribute of each human life event to form a knowledge base, realizing the full life cycle carding of the history change process from birth to death of a natural human object, and acquiring the related information of the natural human;
secondly, collecting forms according to department service design, avoiding repeated collection through label management, analyzing, sorting and merging fields in all department service forms to be collected, wherein each field after processing is a unique label; each label is responsible for the contents such as the correctness of the label and the like by an authoritative department;
step three, managing the label items;
electronizing the national standard, the local standard and the industrial standard, and inputting the electronized codes serving as unique codes into data elements of the system;
fifthly, dragging type customization and management of the information acquisition form are carried out by taking the department service requirement as guidance; according to a paper collection form related to a department, a data collection electronic form of the department is constructed by using the contents of the existing tags in the urban portrait system, data items in data element management and the like;
step six, configuring form authority according to the information acquisition flow related to the department requirement; such as: collectors, auditors, approvers, etc.;
removing repeated fields with the same meaning according to the electronic form configured by the department; such as: identity card, identity card number, identity card part number and the like;
step eight, comparing the data with a municipal big data center (such as name, contact telephone, residence place, household place, identity card number, birth year and month, religious belief and the like), directly reading municipal big data after the input name and the identity card are authorized, associating the data through the identity card, and displaying the data on a form without acquiring again;
step nine, comparing and approving the data, so that the data using department continuously compares and verifies the data in the process of quoting and sharing the data of the authoritative department, and feeds back the doubtful data to the relevant department for verification and calibration in time, thereby improving the accuracy and the uniqueness of the data; meanwhile, basic difference data of the base layer are stored for later-stage check of other departments;
step ten, pushing the service data collected by the base layer to service systems needing to be reported in various districts and the like according to requirements and auditing the data.
Setting a label name, a label type, a data type, an authoritative department, an updating period, a standard and related form reference information. For example: the basic information data of people is subject to public security household registration information, the comprehensive information and business information of people are subject to professional contra-oral department information, and the principle of 'unique data generation source' is adhered to ensure the authority and the legality of the information.
For another example: name: manual filling is required; identification card number: manual filling is required; marital status: the name and the identity card number can be obtained from the civil bureau; learning a calendar: acquiring from the civil bureau according to the name and the identity card number; social security number: and obtaining from the civil bureau according to the name and the identity card number, and the like.
Step four, setting standard relevant information: the association relation among the standard word size, the standard serial number, the standard name, the issuing organization, the standard introduction and the standard;
and, the number of sharing according to a certain standard is divided into a common data standard (recording 2 or more sharing departments) and an exclusive standard (data standard used by only one department). For example, the citizen identification number is related to and provided by relevant standards of a plurality of departments and is a common data standard; the hospitalization cost is only related and provided by Weijian committee and is a unique sharing standard.
And the form authority in the sixth step comprises the collection starting and ending time, the initiating department, the collection range, the responsible person and the contact telephone of the form. Thus, the method is beneficial to the department to know and share the existing forms.
The ten steps of auditing the data mainly comprise: whether the acquired data is complete or not and whether obvious errors exist or not; and returning the data which do not meet the standard to the collector, and supplementing the data by the collector.
Further, the method also comprises the step eleven: and forming a mechanism and leaving marks on all records used in the steps one to ten, and taking the marks as a work performance assessment standard to perform scoring assessment.
Through the technical scheme, according to government affair business department data accumulated by big government affair data for many years, the data verification of automatic filling is completed according to the cleaning association of multi-source heterogeneous data. And generating a collection form based on clicking or visually dragging the control, and finishing the collection of the intelligent treatment natural people so as to solve the problem of pain points collected by the existing paper of the basic layer.
By combing the standard labels in the natural human holographic life cycle, the basic level only needs to check the data. Meanwhile, the basic information, trace information and public management state information of government affairs handling are shared in real time for the basic layer, and the open type department business application system is accessed through a standard flow interface, so that the problems of repeated acquisition and repeated filling of the basic layer are reduced.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention.
It should be noted that the various technical features described in the above embodiments can be combined in any suitable manner without contradiction, and the invention is not described in any way for the possible combinations in order to avoid unnecessary repetition.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as the disclosure of the present invention as long as it does not depart from the spirit of the present invention.
Claims (6)
1. A big data base layer socialization intelligent control nature person information acquisition filling method is characterized by comprising the following steps:
step one, performing knowledge correlation based on the state and the attribute of each human life event to form a knowledge base, realizing the full life cycle carding of the history change process from birth to death of a natural human object, and acquiring the related information of the natural human;
secondly, collecting forms according to department service design, avoiding repeated collection through label management, analyzing, sorting and merging fields in all department service forms to be collected, wherein each field after processing is a unique label;
step three, managing the label items;
electronizing the national standard, the local standard and the industrial standard, and inputting the electronized codes serving as unique codes into data elements of the system;
fifthly, dragging type customization and management of the information acquisition form are carried out by taking the department service requirement as guidance; according to a paper collection form related to a department, a data collection electronic form of the department is constructed by using the contents of the existing tags in the urban portrait system, data items in data element management and the like;
step six, configuring form authority according to the information acquisition flow related to the department requirement;
removing repeated fields with the same meaning according to the electronic form configured by the department;
step eight, comparing with a municipal big data center, directly reading municipal big data after the input name and the identity card are authorized, associating through the identity card, and displaying on a form;
step nine, comparing and approving the data, so that the data using department continuously compares and verifies the data in the process of quoting and sharing the data of the authoritative department, and feeds back the doubtful data to the relevant department for verification and calibration in time, thereby improving the accuracy and the uniqueness of the data; meanwhile, basic difference data of the base layer are stored for later-stage check of other departments;
step ten, pushing the service data collected by the base layer to service systems needing to be reported in various districts and the like according to requirements and auditing the data.
2. The big data base layer-based social intelligent management natural person information collecting and reporting method according to claim 1, wherein the third step comprises setting tag names, tag types, data types, authoritative departments, update cycles, references to information according to standards and related forms.
3. The big data base layer-based socialized intelligent governance natural person information collection and reporting method according to claim 1, wherein step four comprises setting standard related information: the association relation among the standard word size, the standard serial number, the standard name, the issuing organization, the standard introduction and the standard;
and, the number of sharing according to a certain standard is divided into a common data standard and an exclusive sharing standard.
4. The big data base layer-based social intelligent governing natural person information collecting and reporting method as claimed in claim 1, wherein the form authority in step six includes a collection start and stop time, an initiating department, a collection range, a person in charge and a contact telephone of the form.
5. The information acquisition and reporting method for the intelligent governance nature based on big data base socialization according to claim 1, wherein the ten steps of auditing data mainly comprise: whether the acquired data is complete or not and whether obvious errors exist or not; and returning the data which do not meet the standard to the collector, and supplementing the data by the collector.
6. The big data base layer-based socialized intelligent governance natural person information collection and reporting method according to claim 1, further comprising the eleventh step of: and forming a mechanism and leaving marks on all records used in the steps one to ten, and taking the marks as a work performance assessment standard to perform scoring assessment.
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| CN115270741A (en) * | 2022-09-27 | 2022-11-01 | 远江盛邦（北京）网络安全科技股份有限公司 | Report management method, device and equipment |
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Address after: Building 5, Wuhu Science and Technology Industrial Park, Wuhu City, Anhui Province, 241000 Applicant after: Yangtze River delta information intelligence Innovation Research Institute Address before: 241000 Wuhu Intelligent Collaborative Innovation Center Applicant before: Institute of smart city University of science and technology of China (Wuhu) |
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