CN111352990A - Report generation management method and device, computer equipment and storage medium - Google Patents
Report generation management method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application discloses a report generation management method, a report generation management device, computer equipment and a storage medium, wherein the method comprises the steps of obtaining first data to be mined; detecting whether an operator has the authority to create a report of the management device; if yes, generating an interface for inputting the prompting type required in the report of the generation management device by the operator of the generation management device; determining the type of prompt required in the report; if the prompt types of the generation management device are multiple, calling preset analysis components corresponding to the prompt types respectively to process and generate first data of the generation management device in parallel so as to obtain different mining results corresponding to different prompt types; and combining different mining results together to form a report of the generation management device. The method and the device can obtain a report with a multi-dimensional mining result at one time, and reduce the risk of leakage of the business secret in the report.
Description
Technical Field
The present application relates to the field of data analysis, and in particular, to a report generation management method, apparatus, computer device, and storage medium.
Background
The true concept of insight reports refers to large data visualization analysis, which refers to reports formed by activities and techniques for extracting meaningful data. In the business field, intelligent analysis reports are important for reducing uncertainty, can help decision makers to analyze market conditions and competitors, and helps high-level management staff to acquire relevant knowledge and make strategic business decisions. In the field of financial technology, intelligent reporting has applications in credit assessment, investment and personal financial management. The report generated by the insight report generation tool can only obtain the report with fixed dimensionality, and a decision maker cannot obtain the insight report required by the decision maker. In addition, since some business secrets are sometimes involved in the insight report, the business secrets are easily acquired by the operator, and the risk of the business secrets being compromised is increased.
Disclosure of Invention
The application mainly aims to provide a report generation management method, a report generation management device, a computer device and a storage medium, and aims to solve the technical problems that the existing report has few insight dimensions, and commercial secrets are easy to leak.
In order to achieve the above object, the present application provides a report generation management method, including:
acquiring first data to be mined;
detecting whether an operator has the authority to make the report;
if yes, generating an interface for the operator to input the required prompt types in the report;
receiving prompt types input by the operator on an interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts;
if the prompt types are multiple, calling preset analysis components corresponding to the prompt types respectively to process the first data in parallel to obtain different mining results corresponding to different prompt types;
combining the different mining results together to form the report.
Further, the step of detecting whether the operator has the right to make the report includes:
checking an IP of a terminal operated by the operator;
judging whether the terminal is a mobile terminal or not according to the IP;
if the terminal is a mobile terminal, judging that the operator has no authority to make the report;
if the terminal is a non-mobile terminal, acquiring the position information of the non-mobile terminal according to the IP;
controlling a preset rotatable camera and collecting first image information in front of the non-mobile terminal;
if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0, judging that the operator does not have the authority of making the report;
and if the number of people in front of the non-mobile terminal in the first image information is 1, judging that the operator has the authority of making the report.
Further, the step of determining that the operator has the authority to create the report if the number of persons located in front of the non-mobile terminal in the first image information is 1 includes:
if the number of people in front of the non-mobile terminal in the first image information is 1, starting a camera of the non-mobile terminal to acquire second image information in front of the non-mobile terminal;
identifying a face image in the second image information, and searching whether an image matched with the face image exists in a preset face authority library;
if yes, the operator is judged to have the authority of making the report, and if not, the operator is judged not to have the authority of making the report.
Further, the step of detecting whether the operator has the right to make the report includes:
acquiring a third image in front of the terminal by using a camera on the terminal operated by the operator, wherein the number of people in the third image is more than or equal to 1;
judging whether the face images in the third image all meet a preset shooting angle;
if the orientation of the face of the person is not met, generating reminding information to remind the person in front of the terminal to adjust the orientation of the face of the person according to requirements;
after the preview image judges that the face reaches a preset shooting angle, shooting a fourth image in front of the terminal;
identifying all face information in the fourth image, and searching whether an image matched with each face information exists in a preset face authority library from all face information;
and if all the face information is matched with the corresponding images, judging that the operator has the authority of making the report, and judging that the operator does not have the authority of making the report by a person who does not have the authority of making the report.
Further, the step of combining the different mining results together to form the report includes:
reading talent types of the operator when the operator is judged to have the authority of making the report, wherein the talent types comprise a developer type of data research and a decision maker type for analyzing business problems according to the report;
calling a report template corresponding to the talent type of the operator;
and integrating different mining results into the called report template, wherein the presentation forms of the mining results presented by the different report templates are different.
Further, the step of calling the report template corresponding to the talent type of the operator includes:
when the operator is a plurality of persons, if one person is a decision maker type, calling a report template of the decision maker type; when the operator is a person, the report template of the talent type corresponding to the person is called.
The present application also provides a report generation management apparatus, including:
the device comprises an acquisition unit, a searching unit and a searching unit, wherein the acquisition unit is used for acquiring first data to be mined;
an authority verification unit for detecting whether an operator has authority to make the report;
the generating unit is used for generating an interface for the operator to input the prompting types required in the report if the operator has the authority of making the report;
the determining unit is used for receiving prompt types input by the operator on an interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts;
the calling unit is used for respectively calling preset analysis components corresponding to the prompt types to process the first data in parallel to obtain different mining results corresponding to different prompt types if the prompt types are multiple;
and the combining unit is used for combining different mining results together to form the report.
The present application further provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of any of the above methods when executing the computer program.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the method of any of the above.
According to the report generation management method, the report generation management device, the computer equipment and the storage medium, multiple prompt types can be simultaneously selected according to requirements, corresponding multiple mining results are obtained, one report with the multi-dimensional mining results is obtained at one time, and a decision maker checking the report can make decisions through multi-dimensional thinking conveniently; in addition, in the process of generating the report, authority verification is required, and only an operator who passes the authority verification can complete the making of the report, so that the risk of leakage of commercial secrets in the report is reduced.
Drawings
FIG. 1 is a flowchart illustrating a method for managing generation of reports according to an embodiment of the present application;
fig. 2 is a block diagram schematically illustrating a structure of a report generation management apparatus according to an embodiment of the present application;
fig. 3 is a block diagram illustrating a structure of a computer device according to an embodiment of the present application.
The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, an embodiment of the present application provides a report generation management method, including:
s1, acquiring first data to be mined;
s2, detecting whether the operator has the authority of making the report;
s3, if yes, generating an interface for the operator to input the prompting type needed in the report
S4, receiving prompt types input by the operator on the interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts;
s5, if the prompt types are multiple, calling preset analysis components corresponding to the prompt types respectively to process the first data in parallel to obtain different mining results corresponding to different prompt types;
and S6, combining different mining results together to form the report.
As described in step S1, the first data to be mined may be a data set crawled on the world wide web by an operator through web crawler technology, or may be a data set downloaded from a different database. In one embodiment, a company name input by an operator is received, corporate information of the company is obtained from a company administration according to the company name, all first information data related to the company name in a preset time period are crawled to the world wide web by using a crawler technology, all second information data related to the corporate information in the preset time period are crawled to the world wide web by using the crawler technology, and then the first information data and the second information data are combined to form the first data. The first information data and the second information data comprise social sharing data such as news data, financial data, microblogs and the like. The company name and the corporate information are used as keywords of the crawled data, relevant data about the company can be obtained in a targeted mode, then some operational trends or operational trends of the company are known, the corporate information is obtained so as to better obtain the relevant information about the company, for example, the corporate and other company data, credit investigation information of the corporate, financial conditions and the like influence the final result of the report. In other embodiments, the data to be analyzed may be downloaded directly to a designated database, such as downloading designated financial data to a financial department, downloading operation plan data to an operation department, downloading sales data to a sales department, etc., and then integrating the downloaded data to form the first data.
As described in the above steps S2 and S3, the first data may be data related to a commercial secret, and when the data is used, a user or the like cannot find the commercial secret, but when the data is used to generate a report, the commercial secret may be reflected therein, so that not all people have the right to mine the first data and form the report, and therefore, in the present application, it is preferred to detect whether an operator has the right to make the report, and specific right checking methods include multiple kinds, such as fingerprint verification, face verification, password verification, and the like; if the verification is passed, an interface for the user to input the required prompt type in the report is generated, and if not, the interface for the user to input the required prompt type in the report is not generated, so that the operator without authority is prevented from carrying out the next operation.
As described in the above steps S4 and S5, the method for determining the kind of prompt required in the report includes various methods, for example, receiving the kind of prompt manually input by the operator, specifically, visualizing: buttons for displaying different prompt types are arranged on the display interface, and an operator clicks and selects the required prompt type. As another example, automated operations: identifying the source of the first data, and then determining a prompt type according to a data source-prompt type mapping table; as another example, the automation: whether the first data contains a preset keyword or not is previewed, a prompt type is determined according to the contained keyword and a preset keyword-prompt type mapping table, for example, the keyword financial corresponds to an outlier detection prompt, and when the first data contains the financial, the required prompt type is automatically determined to contain the outlier detection prompt.
In the system for generating the report, a plurality of analysis components are pre-stored, and different analysis components are used for analyzing the first data, that is, different analysis logic is packaged in different analysis components to complete different analyses on the first data. In this embodiment, the difference from the prior art is that the operator can obtain a plurality of different types of prompts, such as the above discrete and continuous univariate analysis prompt, multivariate analysis prompt, outlier detection prompt, missing value detection prompt, and the like, at the same time, so that the operator can obtain a report more in line with his/her needs. Specifically, the method comprises the following steps:
the discrete and continuous univariate analysis prompts can provide characteristic insights in a single discrete variable, including data distribution conditions, data statistical index conditions (including statistical indexes such as mean value/quantile/variance/standard deviation), measurement given to data deflection conditions and data large-amount centralized areas, and the like, and give user prompts to large-amount data and rarely-amount data to make a user decision whether to belong to normal conditions or not; the continuous univariate refers to a single variable, and the value of the variable is continuous, such as turnover. The insight into the characteristics mainly refers to the insight into the statistical indicators and distribution thereof, such as the mean written above, and the like. The metric is a ratio of data of each part or a region (a plurality of adjacent parts) to total data after the data are divided into equal-sized intervals. The multivariate analysis prompt can be used for analyzing the relation between continuous variables, or the relation between discrete and continuous variables by adopting different correlation coefficients so as to assist the user in making decisions, for example, prompting the user to pay attention to the variables with higher correlation, and the multivariate analysis prompt can be presented in a report by a visualization means such as a text prompt or a thermodynamic diagram/scatter diagram, so that the user can deeply mine the commercial value of the user. The relationship between the continuous variables described above may be analyzed using Pearson correlation coefficient analysis/scatter plot, the relationship between discrete variables may be tested using the chi-square test, and the relationship between discrete and continuous variables may be compared using multiple box plots. The outlier detection prompt may prompt some features of the user data to have an outlier, and inform the user of the features of the outlier, so that the user can quickly pay attention to the sample values, so that the user can find the abnormal data in time, and there are various algorithms for outlier detection, for example, DBSCAN (Density-based Clustering method with noise), isolated forest, using quantile detection, etc., taking the DBSCAN algorithm to detect the abnormal values as an example: the method comprises the steps of taking a certain point as a center to designate points contained in a distance e, giving m points as parameters, judging all the points, and then dividing the points into core points/boundary points/noise points, wherein the core points are data points at least containing m points in the distance e, the boundary points are adjacent points in the distance e of the core points, the contained points are less than m, and the rest points are noise points, namely abnormal points. The missing value detection prompt is mainly used for detecting the missing value of the field, prompting a user if the missing condition exceeds a certain threshold (the threshold is set differently according to different scenes), analyzing the characteristics of the missing record on the basis of finding the missing value, for example, the values of a large number of missing values on the field A are mainly M on the field B, and providing business guidance value for the user by detecting the missing value and mining the missing value characteristics for the second time. In different scenes, the sensitivity and the requirement degree of the missing value are different, for example, when the missing value exceeds 5 percent in the process of modeling a scoring card, the system prompts a user.
As described in the step S6, the manner of combining the different mining results together to form the report includes multiple manners, for example, different mining results with different prompting categories form an independent report, and then the multiple independent reports are spliced in a certain order to form the report. For another example, how abnormal results appear in the mining results in each step, the corresponding algorithm can be identified, the abnormal results in the mining results in different forms are uniformly set on the first page of the report, if the abnormal results cannot be displayed on all the first page, the abnormal results are extended to the second page, and the like.
In one embodiment, the step S2 of detecting whether the operator has the right to make the report includes:
checking an IP of a terminal operated by the operator;
judging whether the terminal is a mobile terminal or not according to the IP;
if the terminal is a mobile terminal, judging that the operator has no authority to make the report;
if the terminal is a non-mobile terminal, acquiring the position information of the non-mobile terminal according to the IP;
controlling a preset rotatable camera and collecting first image information in front of the non-mobile terminal;
if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0, judging that the operator does not have the authority of making the report;
and if the number of people in front of the non-mobile terminal in the first image information is 1, judging that the operator has the authority of making the report.
In this embodiment, a specific authority verification method is mainly provided, the mobile terminal is generally a mobile office-capable device such as a mobile phone or a notebook computer, and the security of the environment where the mobile terminal is located cannot be determined due to the mobile nature of the mobile terminal, so that the terminal determines that the operator does not have the authority to make the report as long as the terminal is the mobile terminal. When the number of people is more than 2, people without authority may exist in the people, so that the authority of the operator for making the report is determined to be not available, and when the number of people is 0, the operator intentionally hides the information of the operator, so that the authority of the operator for making the report is also directly determined. When only one person is present, the operator is considered to have the authority to make the report. In this embodiment, the method for determining that the number of people in front of the non-mobile terminal is greater than or equal to 2 or 0 may be implemented by separating the character images in the first image information by using the existing computer image processing technology, and then counting the number of the character images; and judging the number of people in front of the non-mobile terminal, identifying the non-mobile terminal, and determining that the people corresponding to the first position information are in front of the non-mobile terminal when the first position information is within the specified range of the first position information according to the first position information of the people image in the first image information and the second position information of the non-mobile terminal in the first image information.
Further, the step of determining that the operator has the authority to create the report if the number of persons located in front of the non-mobile terminal in the first image information is 1 includes:
if the number of people in front of the non-mobile terminal in the first image information is 1, starting a camera of the non-mobile terminal to acquire second image information in front of the non-mobile terminal;
identifying a face image in the second image information, and searching whether an image matched with the face image exists in a preset face authority library;
if yes, the operator is judged to have the authority of making the report, and if not, the operator is judged not to have the authority of making the report.
In the embodiment, when only one person exists, the camera of the non-mobile terminal is started, the face image of the person is collected, the verification of the face authority is completed, and the like, so that the use safety of the report is further improved, and the trade secret in the report is prevented from being stolen by other people. The method for face verification and the method for matching the Chinese face image can use any one of the prior art, which are not described herein again. The face authority database is preset and can be called when the face image in the second image information needs to be matched, and the image in the face authority database is the face image of an operator with operation authority stored in the face authority database by a worker in advance.
In one embodiment, the step S2 of detecting whether the operator has the right to make the report includes:
acquiring a third image in front of the terminal by using a camera on the terminal operated by the operator, wherein the number of people in the third image is more than or equal to 1;
judging whether the face images in the third image all meet a preset shooting angle;
if the orientation of the face of the person is not met, generating reminding information to remind the person in front of the terminal to adjust the orientation of the face of the person according to requirements;
after the preview image judges that the face reaches a preset shooting angle, shooting a fourth image in front of the terminal;
identifying all face information in the fourth image, and searching whether an image matched with each face information exists in a preset face authority library from all face information;
and if all the face information is matched with the corresponding images, judging that the operator has the authority of making the report, and judging that the operator does not have the authority of making the report by a person who does not have the authority of making the report.
In this embodiment, the process of generating the report is continued only when all face information in front of the terminal is acquired and all face information is required to have the authority of the report. In this embodiment, only one operator is generally present at the terminal, so that the person present at the terminal is not required to adjust the face orientation when the third image is captured, and the verification process can be finished without perception. However, when there are many people or the face in the third image fails to pass the verification, the reminding information and the like are generated, so that the fourth image meeting the requirements is obtained quickly, and the efficiency of authority verification is improved.
Further, the step S6 of combining the different mining results together to form the report includes:
reading talent types of the operator when the operator is judged to have the authority of making the report, wherein the talent types comprise a developer type of data research and a decision maker type for analyzing business problems according to the report;
calling a report template corresponding to the talent type of the operator;
and integrating different mining results into the called report template, wherein the presentation forms of the mining results presented by the different report templates are different.
In this embodiment, the method for determining the talent type of the operator generally is a face recognition method, specifically, a database of an operator with authority is established in advance, the database stores face feature information of different operators and talent types corresponding to the face feature information, when making an insight report, the talent type of the operator is determined according to the face feature information of the operator, and then a report template corresponding to the talent type is selected. The report template corresponding to the decision maker type has the data expression form which is more biased to business, provides business discovery for the decision maker, guides the business decision, and language description to avoid statistical professional terms as much as possible, while the report template corresponding to the developer type has the data expression form which is more biased to statistics, provides data mining discovery for the analyst, and has professional language description. In this embodiment, when a plurality of people are in front of the terminal at the same time to prepare to view the report, generally, the decision maker is taken as the main part, so when the operator is a plurality of people, if one of the people is a decision maker type, the report template of the decision maker type is called; when the operator is a person, the report template of the talent type corresponding to the person is called. Of course, the setting has a corresponding switch, the function can be turned on or turned off, and when the function is turned off, a command manually selected by an operator can be acquired for processing.
According to the report generation management method, multiple prompt types can be simultaneously selected according to requirements, corresponding multiple mining results can be obtained, one report with the multi-dimensional mining results can be obtained at one time, and a decision maker viewing the report can make decisions conveniently through multi-dimensional thinking.
Referring to fig. 2, an embodiment of the present application further provides a report generation management apparatus, including:
an obtaining unit 10, configured to obtain first data to be mined;
a right verifying unit 20 for detecting whether the operator has a right to make the report;
a generating unit 30, configured to generate an interface for an operator to input a prompt type required in a report if the operator has a right to create the report;
a determining unit 40, configured to receive a prompt type input by the operator on an interface of the prompt type, or determine a prompt type required in the report according to a data source of the first data or a keyword in the first data, where the prompt type at least includes one or more of a discrete and continuous univariate analysis prompt, a multivariate analysis prompt, an outlier detection prompt, and a missing value detection prompt;
the calling unit 50 is configured to, if the prompt types are multiple, respectively call a preset analysis component corresponding to the prompt types to process the first data in parallel, so as to obtain different mining results corresponding to different prompt types;
a combining unit 60 for combining different mining results together to form the report.
In one embodiment, the right verifying unit 20 includes:
an inspection module for inspecting an IP of the terminal operated by the operator;
the judging module is used for judging whether the terminal is a mobile terminal according to the IP;
a first determination module, configured to determine that the operator has no authority to make the report if the terminal is a mobile terminal;
an obtaining module, configured to obtain, if the terminal is a non-mobile terminal, location information of the non-mobile terminal according to the IP;
the control acquisition module is used for controlling a preset rotatable camera and acquiring first image information in front of the non-mobile terminal;
the second judgment module is used for judging that the operator has no authority to make the report if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0;
and the third judging module is used for judging that the operator has the authority of making the report if the number of people in front of the non-mobile terminal in the first image information is 1.
In one embodiment, the third determining module includes:
the shooting starting submodule is used for starting a camera of the non-mobile terminal to acquire second image information in front of the non-mobile terminal if the number of people in front of the non-mobile terminal in the first image information is 1;
the recognition submodule is used for recognizing the face image in the second image information and searching whether an image matched with the face image exists in a preset face authority library;
and the judging submodule is used for judging that the operator has the authority for making the report if the image matched with the face image is found in the face authority library, and judging that the operator does not have the authority for making the report if the operator does not have the authority for making the report.
In one embodiment, the right verifying unit 20 includes:
the first shooting module is used for acquiring a third image in front of the terminal by using a camera on the terminal operated by the operator, wherein the number of people in the third image is more than or equal to 1;
the angle judging module is used for judging whether the face images in the third image all meet a preset shooting angle;
the reminding module is used for generating reminding information if the face image in the third image does not meet the preset shooting angle, and reminding a person in front of the terminal to adjust the face direction according to the requirements;
the second shooting module is used for shooting a fourth image in front of the terminal after the preview image judges that the face reaches a preset shooting angle;
the recognition matching module is used for recognizing all face information in the fourth image and searching whether an image matched with each face information exists in a preset face authority library or not through all face information;
and the result judging module is used for judging that the operator has the authority of making the report if all the face information is matched with the corresponding image, and judging that the operator does not have the authority of making the report if the operator does not have the authority of making the report.
Further, the combination unit 60 includes:
the reading module is used for reading the talent type of the operator when judging that the operator has the authority of making the report, wherein the talent type comprises a developer type of data research and a decision maker type for analyzing business problems according to the report;
the calling module is used for calling a report template corresponding to the talent type of the operator;
and the integration module is used for integrating different mining results into the called report template, wherein the different report templates have different presentation forms of the presented mining results.
Further, the calling module includes:
the calling submodule is used for calling a report template of a decision maker type if one of the decision maker types is a human decision maker type when an operator is a plurality of persons; when the operator is a person, the report template of the talent type corresponding to the person is called.
The report generation management device according to the embodiment of the present application corresponds to the report generation management method described above, and the detailed functional description of each unit, module, and sub-module is the same as the multi-purpose method thereof, and therefore, the description thereof is not repeated. The report generation management device can also select multiple prompt types to obtain corresponding multiple mining results according to requirements, obtain a report with the multi-dimensional mining results at one time, and facilitate decision-makers who check the report to make decisions through multi-dimensional thinking.
Referring to fig. 3, a computer device, which may be a server and whose internal structure may be as shown in fig. 3, is also provided in the embodiment of the present application. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the computer designed processor is used to provide computational and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for storing various data to be analyzed, analysis components and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a report generation management method.
The processor executes the report generation management method, and includes: acquiring first data to be mined; detecting whether an operator has the authority to make the report; if yes, generating an interface for the operator to input the prompt type required in the report; receiving prompt types input by the operator on an interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts; if the prompt types are multiple, calling preset analysis components corresponding to the prompt types respectively to process the first data in parallel to obtain different mining results corresponding to different prompt types; combining the different mining results together to form the report.
In one embodiment, the step of detecting whether the operator has authority to make the report includes: checking an IP of a terminal operated by the operator; judging whether the terminal is a mobile terminal or not according to the IP; if the terminal is a mobile terminal, judging that the operator has no authority to make the report; if the terminal is a non-mobile terminal, acquiring the position information of the non-mobile terminal according to the IP; controlling a preset rotatable camera and collecting first image information in front of the non-mobile terminal; if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0, judging that the operator does not have the authority of making the report; and if the number of people in front of the non-mobile terminal in the first image information is 1, judging that the operator has the authority of making the report.
In one embodiment, the step of determining that the operator has the authority to create the report if the number of people located in front of the non-mobile terminal in the first image information is 1 includes: if the number of people in front of the non-mobile terminal in the first image information is 1, starting a camera of the non-mobile terminal to acquire second image information in front of the non-mobile terminal; identifying a face image in the second image information, and searching whether an image matched with the face image exists in a preset face authority library; if yes, the operator is judged to have the authority of making the report, and if not, the operator is judged not to have the authority of making the report.
In one embodiment, the step of detecting whether the operator has authority to make the report includes: acquiring a third image in front of the terminal by using a camera on the terminal operated by the operator, wherein the number of people in the third image is more than or equal to 1; judging whether the face images in the third image all meet a preset shooting angle; if the orientation of the face of the person is not met, generating reminding information to remind the person in front of the terminal to adjust the orientation of the face of the person according to requirements; after the preview image judges that the face reaches a preset shooting angle, shooting a fourth image in front of the terminal; identifying all face information in the fourth image, and searching whether an image matched with each face information exists in a preset face authority library from all face information; and if all the face information is matched with the corresponding images, judging that the operator has the authority of making the report, and judging that the operator does not have the authority of making the report by a person who does not have the authority of making the report.
In one embodiment, the step of combining the different mining results together to form the report includes: reading talent types of the operator when the operator is judged to have the authority of making the report, wherein the talent types comprise a developer type of data research and a decision maker type for analyzing business problems according to the report; calling a report template corresponding to the talent type of the operator; and integrating different mining results into the called report template, wherein the presentation forms of the mining results presented by the different report templates are different.
In one embodiment, the step of invoking the report template corresponding to the talent type of the operator includes: when the operator is a plurality of persons, if one person is a decision maker type, calling a report template of the decision maker type; when the operator is a person, the report template of the talent type corresponding to the person is called.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is only a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects may be applied.
An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a report generation management method, including: acquiring first data to be mined; detecting whether an operator has the authority to make the report; if yes, generating an interface for the operator to input the prompt type required in the report; receiving prompt types input by the operator on an interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts; if the prompt types are multiple, calling preset analysis components corresponding to the prompt types respectively to process the first data in parallel to obtain different mining results corresponding to different prompt types; combining the different mining results together to form the report.
In one embodiment, the step of detecting whether the operator has authority to make the report includes: checking an IP of a terminal operated by the operator; judging whether the terminal is a mobile terminal or not according to the IP; if the terminal is a mobile terminal, judging that the operator has no authority to make the report; if the terminal is a non-mobile terminal, acquiring the position information of the non-mobile terminal according to the IP; controlling a preset rotatable camera and collecting first image information in front of the non-mobile terminal; if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0, judging that the operator does not have the authority of making the report; and if the number of people in front of the non-mobile terminal in the first image information is 1, judging that the operator has the authority of making the report.
In one embodiment, the step of determining that the operator has the authority to create the report if the number of people located in front of the non-mobile terminal in the first image information is 1 includes: if the number of people in front of the non-mobile terminal in the first image information is 1, starting a camera of the non-mobile terminal to acquire second image information in front of the non-mobile terminal; identifying a face image in the second image information, and searching whether an image matched with the face image exists in a preset face authority library; if yes, the operator is judged to have the authority of making the report, and if not, the operator is judged not to have the authority of making the report.
In one embodiment, the step of detecting whether the operator has authority to make the report includes: acquiring a third image in front of the terminal by using a camera on the terminal operated by the operator, wherein the number of people in the third image is more than or equal to 1; judging whether the face images in the third image all meet a preset shooting angle; if the orientation of the face of the person is not met, generating reminding information to remind the person in front of the terminal to adjust the orientation of the face of the person according to requirements; after the preview image judges that the face reaches a preset shooting angle, shooting a fourth image in front of the terminal; identifying all face information in the fourth image, and searching whether an image matched with each face information exists in a preset face authority library from all face information; and if all the face information is matched with the corresponding images, judging that the operator has the authority of making the report, and judging that the operator does not have the authority of making the report by a person who does not have the authority of making the report.
In one embodiment, the step of combining the different mining results together to form the report includes: reading talent types of the operator when the operator is judged to have the authority of making the report, wherein the talent types comprise a developer type of data research and a decision maker type for analyzing business problems according to the report; calling a report template corresponding to the talent type of the operator; and integrating different mining results into the called report template, wherein the presentation forms of the mining results presented by the different report templates are different.
In one embodiment, the step of invoking the report template corresponding to the talent type of the operator includes: when the operator is a plurality of persons, if one person is a decision maker type, calling a report template of the decision maker type; when the operator is a person, the report template of the talent type corresponding to the person is called.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware associated with instructions of a computer program, which may be stored on a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium provided herein and used in the examples may include non-volatile and/or volatile memory. Non-volatile 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-rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that includes the element.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A method for managing generation of a report, comprising:
acquiring first data to be mined;
detecting whether an operator has the authority to make the report;
if yes, generating an interface for the operator to input the prompt type required in the report;
receiving prompt types input by the operator on an interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts;
if the prompt types are multiple, calling preset analysis components corresponding to the prompt types respectively to process the first data in parallel to obtain different mining results corresponding to different prompt types;
combining the different mining results together to form the report.
2. The method for managing generation of a report according to claim 1, wherein said step of detecting whether an operator has an authority to produce said report includes:
checking an IP of a terminal operated by the operator;
judging whether the terminal is a mobile terminal or not according to the IP;
if the terminal is a mobile terminal, judging that the operator has no authority to make the report;
if the terminal is a non-mobile terminal, acquiring the position information of the non-mobile terminal according to the IP;
controlling a preset rotatable camera and collecting first image information in front of the non-mobile terminal;
if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0, judging that the operator does not have the authority of making the report;
and if the number of people in front of the non-mobile terminal in the first image information is 1, judging that the operator has the authority of making the report.
3. The method of claim 2, wherein the step of determining that the operator has an authority to create the report if the number of people located in front of the non-mobile terminal in the first image information is 1 includes:
if the number of people in front of the non-mobile terminal in the first image information is 1, starting a camera of the non-mobile terminal to acquire second image information in front of the non-mobile terminal;
identifying a face image in the second image information, and searching whether an image matched with the face image exists in a preset face authority library;
if yes, the operator is judged to have the authority of making the report, and if not, the operator is judged not to have the authority of making the report.
4. The method for managing generation of a report according to claim 1, wherein said step of detecting whether an operator has an authority to produce said report includes:
acquiring a third image in front of the terminal by using a camera on the terminal operated by the operator, wherein the number of people in the third image is more than or equal to 1;
judging whether the face images in the third image all meet a preset shooting angle;
if the orientation of the face of the person is not met, generating reminding information to remind the person in front of the terminal to adjust the orientation of the face of the person according to requirements;
after the preview image judges that the face reaches a preset shooting angle, shooting a fourth image in front of the terminal;
identifying all face information in the fourth image, and searching whether an image matched with each face information exists in a preset face authority library from all face information;
and if all the face information is matched with the corresponding images, judging that the operator has the authority of making the report, and judging that the operator does not have the authority of making the report by a person who does not have the authority of making the report.
5. The method of claim 4, wherein the step of combining the different mining results together to form the report comprises:
reading talent types of the operator when the operator is judged to have the authority of making the report, wherein the talent types comprise a developer type of data research and a decision maker type for analyzing business problems according to the report;
calling a report template corresponding to the talent type of the operator;
and integrating different mining results into the called report template, wherein the presentation forms of the mining results presented by the different report templates are different.
6. The method of claim 5, wherein the step of invoking the report template corresponding to the talent type of the operator comprises:
when the operator is a plurality of persons, if one person is a decision maker type, calling a report template of the decision maker type; when the operator is a person, the report template of the talent type corresponding to the person is called.
7. A report generation management apparatus, comprising:
the device comprises an acquisition unit, a searching unit and a searching unit, wherein the acquisition unit is used for acquiring first data to be mined;
an authority verification unit for detecting whether an operator has authority to make the report;
the generating unit is used for generating an interface for the operator to input the prompting types required in the report if the operator has the authority of making the report;
the determining unit is used for receiving prompt types input by the operator on an interface of the prompt types, or determining the prompt types required in the report according to the data source of the first data or keywords in the first data, wherein the prompt types at least comprise one or more of discrete and continuous univariate analysis prompts, multivariate analysis prompts, outlier detection prompts and missing value detection prompts;
the calling unit is used for respectively calling preset analysis components corresponding to the prompt types to process the first data in parallel to obtain different mining results corresponding to different prompt types if the prompt types are multiple;
and the combining unit is used for combining different mining results together to form the report.
8. The report generation management device according to claim 8, wherein the right verification unit includes:
an inspection module for inspecting an IP of the terminal operated by the operator;
the judging module is used for judging whether the terminal is a mobile terminal according to the IP;
a first determination module, configured to determine that the operator has no authority to make the report if the terminal is a mobile terminal;
an obtaining module, configured to obtain, if the terminal is a non-mobile terminal, location information of the non-mobile terminal according to the IP;
the control acquisition module is used for controlling a preset rotatable camera and acquiring first image information in front of the non-mobile terminal;
the second judgment module is used for judging that the operator has no authority to make the report if the number of people in front of the non-mobile terminal in the first image information is more than or equal to 2 or 0;
and the third judging module is used for judging that the operator has the authority of making the report if the number of people in front of the non-mobile terminal in the first image information is 1.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| PCT/CN2021/073126 WO2021159940A1 (en) | 2020-02-14 | 2021-01-21 | Report generation and management method and apparatus, computer device, and storage medium |
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| CN102664903A (en) * | 2012-05-16 | 2012-09-12 | 李明 | Network user identifying method and system |
| CN106993168B (en) * | 2017-04-28 | 2019-09-06 | 珠海格力电器股份有限公司 | A kind of monitoring method, device, electronic equipment and system |
| CN107527151A (en) * | 2017-08-31 | 2017-12-29 | 郑州云海信息技术有限公司 | A kind of method and system for building enterprise's portrait |
| CN110555356A (en) * | 2018-06-01 | 2019-12-10 | 财团法人工业技术研究院 | Self-checkout system, method and device |
| CN108830701A (en) * | 2018-06-25 | 2018-11-16 | 美味不用等（上海）信息科技股份有限公司 | Decentralization financial statement system |
| CN111352990A (en) * | 2020-02-14 | 2020-06-30 | 深圳壹账通智能科技有限公司 | Report generation management method and device, computer equipment and storage medium |
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