CN111428454A - Configurable report generation method, device, equipment and readable storage medium - Google Patents
Configurable report generation method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of data visualization, and provides a configurable report generation method, a device, equipment and a readable storage medium, wherein the method comprises the following steps: when a configuration instruction is detected, displaying a configuration interface corresponding to the configuration instruction, and receiving configuration parameters input based on the configuration interface; if an acquisition instruction triggered based on the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements; determining a data risk attribute corresponding to the target data; generating a target report for the target data based on the data risk attributes. According to the method and the device, corresponding target data are collected according to the configuration parameters configured by the user, risk assessment is carried out on the target data, and finally a report is generated on the risk assessment result and the target data, so that the authenticity of the data can be reflected visually, the efficiency of converting the data into the report is improved, and the visualization of the target data is realized.
Description
Technical Field
The invention relates to the technical field of data visualization, in particular to a configurable report generation method, a configurable report generation device, a configurable report generation equipment and a computer readable storage medium.
Background
Man-machine conversation is a sub-direction in the field of artificial intelligence, specifically, people can interact with machines through natural language. One of the problems solved by the man-machine conversation is task-driven multi-turn conversation, which aims to complete tasks, such as helping users to complete tasks of ordering air tickets, and the like, and the completion of such tasks needs to collect the requirements and related information of the users through multi-turn interaction of the machines and the users, so as to finally complete the tasks of ordering the air tickets.
However, collecting the user's needs and related information requires that related service personnel collect in the session record after the human-computer session is finished, and there is no good method to integrate the scene where the session flows, the user's intention, the slot position information, the session content, etc. into a unified report, and the related service personnel are required to query the session record by themselves and generate the report manually, which is inefficient, and the collected information is difficult to determine the reality, resulting in low authenticity of the finally generated report.
Obviously, in the prior art, no method exists that can help relevant business personnel to quickly extract effective information in a conversation and generate a relatively real visual report from the extracted effective information, so as to improve efficiency.
Disclosure of Invention
The invention mainly aims to provide a configurable report generation method, a configurable report generation device, equipment and a computer readable storage medium, and aims to solve the technical problems of low efficiency and low accuracy of the conventional report generation method.
In order to achieve the above object, the present invention provides a configurable report generation method, including the following steps:
when a configuration instruction is detected, displaying a configuration interface corresponding to the configuration instruction, and receiving configuration parameters input based on the configuration interface;
if an acquisition instruction triggered based on the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements;
determining a data risk attribute corresponding to the target data;
generating a target report for the target data based on the data risk attributes.
Optionally, the data risk attribute includes micro-expression risk, and the step of determining the data risk attribute corresponding to the target data includes:
acquiring micro expression information of the target data, and judging whether the micro expression information is a risk expression;
and if so, determining that the target data has micro-expression risk.
Optionally, the step of obtaining the micro expression information of the target data and determining whether the micro expression information is a risk expression includes:
acquiring micro-expression information of the target data, and determining the occurrence frequency and the frame number of the micro-expression information;
and determining whether the micro expression information is a risk expression or not based on the times and the frame number.
Optionally, when the micro expression information includes at least two micro expression information, the step of acquiring the micro expression information of the target data and determining whether the micro expression information is a risk expression includes:
acquiring micro-expression information of the target data, and selecting target micro-expression information from the micro-expression information;
inputting the target micro-expression information into a micro-expression model to obtain a model output result;
and judging whether the target micro-expression information is a risk expression or not according to a model output result.
Optionally, the data risk attribute includes a text information risk, and the step of determining the data risk attribute corresponding to the target data includes:
extracting text content of the target data, comparing the text content with pre-stored file information, and determining whether the text content is real or not;
and if false, determining that the target data has text information risk.
Optionally, the configuration parameters include intention element information, and after the steps of displaying a configuration interface corresponding to the configuration instruction and receiving the configuration parameters input based on the configuration interface when the configuration instruction is detected, the configurable report generating method further includes:
determining an associated scene in the intention element information and a parameter value of the associated scene;
if an acquisition instruction triggered based on the intention element is detected, determining a scene link corresponding to the associated scene from a data source corresponding to the intention element information, and determining a target value of the scene link, wherein the parameter value comprises the target value;
and generating a corresponding target report according to the associated scene and the target value.
Optionally, the step of generating a corresponding target report according to the association scenario and the target value includes:
determining a value risk attribute corresponding to the target value;
and generating a corresponding target report based on the associated scene, the target value and the value risk attribute.
In addition, to achieve the above object, the present invention provides a configurable report generating apparatus, including:
the configuration module is used for displaying a configuration interface corresponding to the configuration instruction when the configuration instruction is detected, and receiving configuration parameters input based on the configuration interface;
the extraction module is used for determining a report element of the configuration parameter and extracting target data from a data source corresponding to the report element if an acquisition instruction triggered based on the configuration parameter is detected;
the risk module is used for determining a data risk attribute corresponding to the target data;
and the generating module is used for generating a target report from the target data based on the data risk attribute.
In addition, to achieve the above object, the present invention further provides a configurable report generating device, which includes a processor, a memory, and a configurable report generating program stored on the memory and executable by the processor, wherein the configurable report generating program, when executed by the processor, implements the steps of the configurable report generating method as described above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, which stores a configurable report generation program, wherein the configurable report generation program, when executed by a processor, implements the steps of the configurable report generation method as described above.
The invention provides a configurable report generation method, which comprises the steps of displaying a configuration interface corresponding to a configuration instruction when the configuration instruction is detected, and receiving configuration parameters input based on the configuration interface; if an acquisition instruction triggered based on the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements; determining a data risk attribute corresponding to the target data; generating a target report for the target data based on the data risk attributes. According to the method and the device, corresponding target data are collected according to the configuration parameters configured by the user, risk assessment is carried out on the target data, and finally a target report is generated according to the risk assessment result and the target data, so that the authenticity of the data can be reflected visually, the efficiency of converting the data into the report is improved, and the visualization of the data is realized.
Drawings
Fig. 1 is a schematic hardware structure diagram of a configurable report generation device according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a configurable report generation method according to a first embodiment of the present invention;
FIG. 3 is a schematic configuration interface diagram of a generation device in an embodiment of a configurable report generation method according to the present invention;
FIG. 4 is a flow chart illustrating a configurable report generation apparatus according to a second embodiment of the present invention;
FIG. 5 is a schematic diagram of a target report generation interface according to the present invention;
FIG. 6 is a functional block diagram of a configurable report generation apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The configurable report generation method related by the embodiment of the invention is mainly applied to configurable report generation equipment, and the configurable report generation equipment can be equipment with display and processing functions, such as a PC (personal computer), a portable computer, a mobile terminal and the like.
Referring to fig. 1, fig. 1 is a schematic diagram of a hardware structure of a configurable report generation device according to an embodiment of the present invention. In an embodiment of the present invention, the configurable report generating device may include a processor 1001 (e.g., a CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used for realizing connection communication among the components; the user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface); the memory 1005 may be a high-speed RAM memory, or may be a non-volatile memory (e.g., a magnetic disk memory), and optionally, the memory 1005 may be a storage device independent of the processor 1001.
Those skilled in the art will appreciate that the hardware configuration shown in FIG. 1 does not constitute a limitation of the configurable report generating device, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
With continued reference to FIG. 1, the memory 1005 of FIG. 1, which is one type of computer-readable storage medium, may include an operating system, a network communication module, and a configurable report generation program.
In fig. 1, the network communication module is mainly used for connecting to a server and performing data communication with the server; and the processor 1001 may call the configurable report generation program stored in the memory 1005 and execute the configurable report generation method provided by the embodiment of the present invention.
The embodiment of the invention provides a configurable report generation method.
Referring to fig. 2, fig. 2 is a flowchart illustrating a configurable report generation method according to a first embodiment of the present invention.
In this embodiment, the configurable report generating method includes the following steps:
step S10, when a configuration instruction is detected, displaying a configuration interface corresponding to the configuration instruction, and receiving configuration parameters input based on the configuration interface;
step S20, if a collection instruction triggered by the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements;
step S30, determining a data risk attribute corresponding to the target data;
and step S40, generating a target report from the target data based on the data risk attribute.
The configurable report generation method of the embodiment is applied to configurable report generation equipment, which is hereinafter referred to as generation equipment for short, the generation equipment can be a fixed terminal such as a computer and the like, and can also be a mobile terminal such as a mobile phone, an ipad and the like, the generation equipment can be connected with the man-machine multi-turn conversation equipment, can acquire a man-machine conversation record stored in the man-machine multi-turn conversation equipment according to an acquisition instruction and configured in advance according to configuration parameters, and generates a visual report according to a certain format, so that relevant business personnel can visually determine the requirements of a current user and the authenticity of the user, and the subsequent business can be conveniently developed; the generating equipment can also have a man-machine conversation function, stores man-machine conversation records when performing man-machine multi-turn conversation tasks, and acquires the stored man-machine conversation records to generate reports according to the acquisition instructions and the preset configuration parameters so as to facilitate the development of subsequent services.
According to the method and the device, corresponding target data are collected according to configuration parameters configured by a user, risk assessment is carried out on the target data, and finally a report is generated on a risk assessment result and the target data, so that the authenticity of the data can be intuitively reflected, the efficiency of converting the data into the report is improved, and the visualization of the target data is realized.
The respective steps will be described in detail below:
step S10, when a configuration instruction is detected, displaying a configuration interface corresponding to the configuration instruction, and receiving configuration parameters input based on the configuration interface.
In this embodiment, a user may configure parameters in a generating device, specifically, the generating device displays a configuration interface corresponding to a configuration instruction when detecting the configuration instruction issued by the user, so that the user performs an autonomous configuration, and after detecting that the configuration of the user is completed, the configuration interface may receive configuration parameters input by the user, as shown in fig. 3, the configuration interface includes a comprehensive element configuration area, a parameter-providing element configuration area, an intention element configuration area, and the like, the user may perform configuration of parameters in these areas, specifically, each configuration area includes a report element name, a data source, whether to output, and the like, for example, in the comprehensive element configuration area, the report element name is a micro expression risk and a text information anomaly, and the data source corresponding to the report element name is a micro expression risk and a text comparison risk, and the user selects whether to output. The newly added button and the editing and deleting buttons are arranged in the parameter-extracting element configuration area, a user can trigger the newly added report element by clicking the newly added button, the editing button can modify the configuration in the configured report element, and the deleting button can delete the configured report element and the like.
It can be understood that the user may not configure the parameter-extracting element area, that is, the parameter-extracting element area is empty, but the synthesis element may only configure whether to output.
Further, the configuration instruction may be triggered by the generating device, that is, the configuration instruction may be triggered in a specific scenario except that the configuration instruction is issued by the user, that is, in another implementation scenario, the generating device may monitor whether the human-computer conversation is ended in real time, and when the human-computer conversation is detected to be ended, the configuration instruction is triggered, so that a configuration interface corresponding to the configuration instruction is displayed, so that the user may configure the configuration parameters.
Step S20, if a collection instruction triggered by the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements;
in this embodiment, after the user configures the configuration parameters, the generating device detects whether there is an acquisition instruction triggered based on the configuration parameters, where the acquisition instruction may be issued by the user, and for example, after the user configures the configuration parameters, the user clicks the relevant determination button, so as to trigger the acquisition instruction.
Further, the acquisition instruction may also be triggered by the generation device, that is, the acquisition instruction may be triggered in a specific scenario except that issued by the user, that is, in another implementation scenario, the generation device may monitor whether the human-computer session is ended in real time, and when it is detected that the human-computer session is ended, the acquisition instruction is triggered, and the generation device acquires the target data.
The generation equipment determines report elements of configuration parameters when detecting acquisition instructions triggered based on the configuration parameters, extracts target data from corresponding data sources through the report elements, and specifically determines parameter names of the report elements and data sources of the report elements after determining the report elements of the configuration parameters, and then acquires the target data corresponding to the parameter names from the data sources, that is, in the step, a user establishes an association relationship between the report elements and the data sources in advance and an association relationship, such as a mapping relationship, between the parameter names and the target data, so that the generation equipment can determine the corresponding data sources according to the report elements configured by the user, and then acquires the target data from the data sources according to the parameter names of the report elements.
As shown in fig. 3, a user configures a report element with a report element name as a name in a parameter extracting element area in advance, the generating device can determine that the corresponding data source is the parameter extraction according to the "name", and the parameter name of the "name" in the data source is the "name", so that the generating device collects target information related to the "name" in the data source of the parameter extraction, such as zhang san and the like.
It should be noted that the data source is data recorded during a human-computer conversation process, that is, when there are multiple rounds of human-computer conversations, the content of the human-computer conversation is recorded and saved as the data source.
And step S30, determining the data risk attribute corresponding to the target data.
In this embodiment, after acquiring the target data, determining a data risk attribute corresponding to the target data, where the data risk attribute includes a micro-expression risk, that is, determining whether the target data has the micro-expression risk, specifically, step S30 includes:
step a, acquiring micro expression information of the target data, and judging whether the micro expression information is a risk expression;
in this step, it should be noted that, in the process of the man-machine interaction, besides recording the target data, such as the name of the user, micro-expression information of the user in the current scene, such as blinking eyes, frowns, etc., is also collected, and the target data and the micro-expressions are also stored in a one-to-one correspondence manner, for example, when inquiring the name of the user, the micro-expression information of the user when answering the question is also collected besides recording the answer answered by the user, so that the generating device can correspondingly obtain the micro-expression information of the target data after collecting the target data, and then determine whether the target data has micro-expression risk by judging the micro-expression information.
Specifically, comparing the micro expression information corresponding to the current target data with a micro expression with a risk identifier, and determining whether the current micro expression information is a risk expression.
Further, step a includes:
acquiring micro-expression information of the target data, and determining the occurrence frequency and the frame number of the micro-expression information;
in this step, when acquiring the micro expression information of the target data, the generating device determines the number of times and the number of frames of the micro expression information, that is, how many times the micro expression occurs in the scene corresponding to the target data, and the number of frames of the micro expression. If the user continues for 10 frames when answering the name, and 3 blinks appear in the 10 frames, the corresponding micro-expression times are 3 when the target data is the name, and the frame number is 10 frames.
It should be noted that the frame number may be the frame number of the scene corresponding to the target data, or the frame number from the occurrence of the micro expression to the end of the micro expression, for example, when the user answers the name, 10 frames continue, but the micro expression starts to appear in the 3 rd frame and does not appear after the 7 th frame, and then the frame number of the micro expression information is 4 frames at this time.
And determining whether the micro expression information is a risk expression or not based on the times and the frame number.
In the step, the generating device calculates a frame order ratio according to the number of times of occurrence of the micro expression and the number of frames, namely, dividing the number of times of occurrence of the micro expression information by the number of frames to obtain the frame order ratio, and determines whether the frame order ratio is greater than a preset threshold value, if so, the micro expression information is determined to be a risk expression.
And b, if so, determining that the target data has the micro-expression risk.
In this step, if the micro expression information is determined to be the risk expression, it is determined that the micro expression risk exists in the target data, which indicates that the reliability of the current target data is low.
Further, when there are at least two pieces of micro expression information corresponding to the target data, that is, when the target data has a plurality of pieces of micro expression information, step a includes:
acquiring micro-expression information of the target data, and selecting target micro-expression information from the micro-expression information;
it can be understood that there may be a plurality of situations in the micro expression information of the target data, for example, when a user answers an address question, there are simultaneously blinking, sipping, smiling and other micro expression information, the target micro expression information needs to be selected from the micro expression information to be used as a basis for judging whether the target data has a micro expression risk, the specific selection mode may select the micro expression with the longest occurrence time as the target micro expression, and if the blinking occurs for 10 frames, sipping for 5 frames, smiling for 2 frames and the like, the blinking is selected as the target micro expression.
Inputting the target micro-expression information into a micro-expression model to obtain a model output result;
and judging whether the target micro-expression information is a risk expression or not according to a model output result.
In the step, the generating device inputs the acquired target micro expression information into a micro expression model which is trained in advance, and judges whether the current target micro expression information is a risk expression or not according to a model output result output by the micro expression model.
The micro-expression model is trained in advance according to historical dialogue records, specifically, through priori knowledge, known historical micro-expression information is used as input of the model, a known judgment result is used as output of micro-expressions, and the micro-expression model is obtained through model training.
In specific implementation, the number of frames of micro expression information can be used as the input of the micro expression model, such as the number of frames for sipping the mouth; or, the number of times of the micro-expression information is used as the input of the model, such as the number of blinking; or the times and the number of frames of the micro-expression information are used as the input of the model, such as the number of frowning times and the number of frowning frames. Since the historical dialogue records are known, the micro-expression model can be obtained through training by using the corresponding judgment result as the output of the model.
In specific implementation, 54 micro expression information types are available, the first five types with the highest frequency when the current question is answered are generally selected as target micro expression information, whether the micro expression information meeting the risk condition exists in the five types is judged, and if the micro expression information is in tension, the micro expression information is judged to be the risk expression.
And step S40, generating a target report from the target data based on the data risk attribute.
In this embodiment, the generating device generates the target report from the target data according to the data risk attribute, specifically, marks the target data belonging to the micro expression risk, and generates the target report from the target data according to a preset format.
It can be understood that when there are a plurality of target data, such as names, identification numbers, existing residential addresses, etc., the generating device needs to determine the risk attributes of the target data in sequence, and finally generates corresponding target reports, the generating device summarizes the target data with micro expression risks as abnormal points, and displays the abnormal points on the display interface according to a preset format, where the target data with micro expression risks and the target data without micro expression risks are displayed together, and when displayed together, the target data are displayed in different colors, where the target data with micro expression risks are marked with red, and the target data without micro expression risks are marked with green, etc.; or the target data with the micro expression risk and the target data without the micro expression risk are displayed in a multi-window switching mode.
In this embodiment, when a configuration instruction is detected, a configuration interface corresponding to the configuration instruction is displayed, and a configuration parameter input based on the configuration interface is received; if an acquisition instruction triggered based on the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements; determining a data risk attribute corresponding to the target data; generating a target report for the target data based on the data risk attributes. According to the method and the device, corresponding target data are collected according to the configuration parameters configured by the user, risk assessment is carried out on the target data, and finally a report is generated on the risk assessment result and the target data, so that the authenticity of the data can be reflected visually, the efficiency of converting the data into the report is improved, and the visualization of the target data is realized.
Further, a second embodiment of the configurable report generation method of the present invention is proposed based on the first embodiment. The second embodiment of the configurable report generating method differs from the first embodiment of the configurable report generating method in that the data risk attribute includes a text information risk, and referring to fig. 4, step S30 includes:
step S31, extracting the text content of the target data, comparing the text content with the pre-stored file information, and determining whether the text content is real;
and step S32, if false, determining that the target data has text information risk.
In this embodiment, the data risk attribute includes a text information risk, and therefore, when determining whether the target data has a text information risk, that is, determining whether the text content of the target data is real, the target report generated subsequently is real and reliable.
The respective steps will be described in detail below:
step S31, extracting the text content of the target data, comparing the text content with the pre-stored entry information, and determining whether the text content is real.
In this embodiment, the generating device extracts the text content of the target data, compares the text content with the pre-stored entry information, and determines whether the text content is real.
The piece entering information refers to authenticity information input in advance, namely, the generation equipment has the piece entering information in advance, after the target data are obtained, text content of the target data is extracted, and the extracted text content is compared with the piece entering information, so that whether the current text content is real or not is judged.
It can be understood that, in the man-machine conversation process, generally, the identity of the user is determined, then the user is called, and the verification and recording of the relevant information are performed, for convenience of understanding, an example is taken as an explanation:
if the user submits the loan application, the submitted information such as the personal information is the incoming information, the generating equipment knows the incoming information in advance, then the user's personal information, namely the text content, is collected through multiple man-machine conversations during remote auditing, and then the two are compared, for example, the age displayed in the data submitted by the user during the application is 30 years, in the man-machine conversation, if the user answers that the age is 35 years, the comparison result is determined to be not matched, and the corresponding text information risk parameter is determined to be true, namely the text content is false.
And step S32, if false, determining that the target data has text information risk.
In this embodiment, if it is determined that the text content of the current target data is false, it is determined that the text information risk exists in the target data, and if it is determined that the text content of the current target data is true, it is determined that the text information risk does not exist in the target data.
In the embodiment, when the risk attribute of the target data is judged, the risk attribute of the target data can be determined by judging whether the text content is real or not, if the text content is false, the target data is determined to have a text information risk, and then corresponding records are required when a target report is generated, so that the target report is real and reliable.
Further, a third embodiment of the configurable report generation method of the present invention is proposed based on the first and second embodiments. The third embodiment of the configurable report generation method differs from the first and second embodiments of the configurable report generation method in that the configuration parameters include intention element information, and after step S10, the configurable report generation method further includes:
step c, determining an associated scene in the intention element information and a parameter value of the associated scene;
step d, if an acquisition instruction triggered based on the intention element is detected, determining a scene link corresponding to the associated scene from a data source corresponding to the intention element information, and determining a target value of the scene link, wherein the parameter value comprises the target value;
and e, generating a corresponding target report according to the associated scene and the target value.
In the process of generating the target report, if the configuration parameters configured by the user include intention element information, the corresponding associated scene and the target value corresponding to the associated scene need to be acquired, so that the subsequently generated target report is more detailed, the intention of the user can be visually seen, and the subsequent service can be conveniently developed.
The respective steps will be described in detail below:
and c, determining an associated scene in the intention element information and a parameter value of the associated scene.
In this embodiment, the configuration interface includes an intention element configuration area, as shown in fig. 3, where the intention element configuration area includes a report element name, a data source, an association scenario, a parameter value, whether to output a microexpression risk, and the like, which are collectively referred to as intention element information, a user may configure parameters in the intention element configuration area, and after configuration is completed, the generating device may determine an association scenario in the intention element information and a parameter value in the association scenario, for example, ask whether a client has a social security, where the corresponding association scenario is social security and social security-free, and meanwhile, if the parameter value in the association scenario with the social security is yes, the value in the association scenario without the social security is no.
And d, if an acquisition instruction triggered based on the intention element is detected, determining a scene link corresponding to the associated scene from a data source corresponding to the intention element information, and determining a target value of the scene link, wherein the parameter value comprises the target value.
In this embodiment, when an acquisition instruction is detected, determining a scene link corresponding to an associated scene from a data source of intention element information, thereby determining a target value of the associated scene, it should be noted that the data source of the intention element information is intention identification, which is different from the parameter extraction in the above embodiments, and the intention identification is a complete scene link in the same scene, for example, in a man-machine multi-round conversation, a query is made as to whether a social security exists for a client, and two answer scenes are set under the question, 1, a social security exists; 2, if there is no social security, in this scenario, there are two scenario links in total, and in the report generated finally, it needs to be fed back whether the scenario link hits, that is, "yes" or "no", so after determining the scenario link corresponding to the associated scenario, a target value of the scenario link is further determined, where the target value is one or more of parameter values, as in the above example, the associated scenario is social security and social security-free, and the parameter values are yes and no, and when collecting, if the scenario with social security hits, the parameter which is intended to be extracted by the "social security" is corresponding to "yes", that is, "yes" is the target value with social security ".
And e, generating a corresponding target report according to the associated scene and the target value.
In this embodiment, generating the target according to the finally determined associated scene and the target value includes specifically taking the associated scene and the corresponding target value as the content of the target report, so that the generated target report can intuitively display the intention of the user.
It should be noted that, in some scenarios, it is not necessary to only have the result of mutual exclusion between yes and no, for example, in a work experience, in a man-machine multi-turn conversation, the year of each work is queried for a client, and the client may have done the first work for 1 year and done the second work for half a year, so that in this scenario, there is no mutual exclusion, and thus, a specific scenario needs to be analyzed specifically.
Further, if the answers of the clients are inconsistent under the same scene, the latter answer is taken as the final value, and if the client says that the social security exists first and then does not communicate with the social security, the final value of the parameter of the social security is configured to be 'no' according to the link preset by the generation device.
Further, step e comprises:
determining a value risk attribute corresponding to the target value;
and generating a corresponding target report based on the associated scene, the target value and the value risk attribute.
In this embodiment, in the process of generating the target report, risk determination needs to be performed on the associated scene and the target value, for example, if the client flashes with eyes when answering social security and meets micro-expression risk determination, there will be social security label red and the like when generating the report, which is similar to the determination process in the above embodiment and is not described herein again.
In the process of generating the target report, if the configuration parameters configured by the user include intention element information, the corresponding association scene and the target value corresponding to the association scene need to be acquired, so that the subsequently generated target report is more detailed, the intention of the user can be visually seen, and the risk attribute judgment needs to be performed on the association scene and the target value, so that the generated target report is real and reliable, and the subsequent service is convenient to develop.
Fig. 5 is a schematic diagram of a target report generation interface, which summarizes target data with micro expression risks and/or text information risks as abnormal points, and displays the abnormal points on the display interface according to a preset format, such as displaying the micro expression risks and the text information risks together, or displaying the micro expression risks and the text information risks in a multi-window switching manner, and the like.
In addition, the embodiment of the invention also provides a configurable report generation device.
Referring to fig. 6, fig. 6 is a functional block diagram of a configurable report generating apparatus according to a first embodiment of the present invention.
In this embodiment, the configurable report generating apparatus includes:
the configuration module 10 is configured to, when a configuration instruction is detected, display a configuration interface corresponding to the configuration instruction, and receive configuration parameters input based on the configuration interface;
an extracting module 20, configured to determine a report element of the configuration parameter if a collecting instruction triggered based on the configuration parameter is detected, and extract target data from a data source corresponding to the report element;
a risk module 30, configured to determine a data risk attribute corresponding to the target data;
a generating module 40, configured to generate a target report from the target data based on the data risk attribute.
Further, the data risk attribute includes a micro-expression risk, the risk module is further configured to:
acquiring micro expression information of the target data, and judging whether the micro expression information is a risk expression;
and if so, determining that the target data has micro-expression risk.
Further, the risk module is further to:
acquiring micro-expression information of the target data, and determining the occurrence frequency and the frame number of the micro-expression information;
and determining whether the micro expression information is a risk expression or not based on the times and the frame number.
Further, the risk module is further to:
acquiring micro-expression information of the target data, and selecting target micro-expression information from the micro-expression information;
inputting the target micro-expression information into a micro-expression model to obtain a model output result;
and judging whether the target micro-expression information is a risk expression or not according to a model output result.
Further, the data risk attribute includes a text information risk, the risk module is to:
extracting text content of the target data, comparing the text content with pre-stored file information, and determining whether the text content is real or not;
and if false, determining that the target data has text information risk.
Further, the generation module is further configured to:
determining an associated scene in the intention element information and a parameter value of the associated scene;
if an acquisition instruction triggered based on the intention element is detected, determining a scene link corresponding to the associated scene from a data source corresponding to the intention element information, and determining a target value of the scene link, wherein the parameter value comprises the target value;
and generating a corresponding target report according to the associated scene and the target value.
Further, the generation module is further configured to:
determining a value risk attribute corresponding to the target value;
and generating a corresponding target report based on the associated scene, the target value and the value risk attribute.
Each module and unit in the configurable report generation apparatus correspond to each step in the configurable report generation method embodiment, and the functions and implementation processes thereof are not described in detail here.
In addition, the embodiment of the invention also provides a computer readable storage medium.
The computer readable storage medium of the present invention stores a configurable report generation program, wherein the configurable report generation program, when executed by a processor, implements the steps of the configurable report generation method as described above.
The configurable report generation program may refer to various embodiments of the configurable report generation method of the present invention, and details thereof are not repeated herein.
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, method, article, or system 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, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A configurable report generation method, comprising:
when a configuration instruction is detected, displaying a configuration interface corresponding to the configuration instruction, and receiving configuration parameters input based on the configuration interface;
if an acquisition instruction triggered based on the configuration parameters is detected, determining report elements of the configuration parameters, and extracting target data from data sources corresponding to the report elements;
determining a data risk attribute corresponding to the target data;
generating a target report for the target data based on the data risk attributes.
2. The configurable report generation method according to claim 1, wherein said data risk attributes comprise micro-expression risks, and said step of determining data risk attributes corresponding to said target data comprises:
acquiring micro expression information of the target data, and judging whether the micro expression information is a risk expression;
and if so, determining that the target data has micro-expression risk.
3. The configurable report generating method according to claim 2, wherein said step of obtaining micro-expression information of said target data and determining whether said micro-expression information is a risk expression comprises:
acquiring micro-expression information of the target data, and determining the occurrence frequency and the frame number of the micro-expression information;
and determining whether the micro expression information is a risk expression or not based on the times and the frame number.
4. The configurable report generating method according to claim 2, wherein when the micro-expression information includes at least two micro-expression information, the step of obtaining the micro-expression information of the target data and determining whether the micro-expression information is a risk expression comprises:
acquiring micro-expression information of the target data, and selecting target micro-expression information from the micro-expression information;
inputting the target micro-expression information into a micro-expression model to obtain a model output result;
and judging whether the target micro-expression information is a risk expression or not according to a model output result.
5. The configurable report generation method of claim 1, wherein said data risk attributes comprise text information risk, and said step of determining data risk attributes corresponding to said target data comprises:
extracting text content of the target data, comparing the text content with pre-stored file information, and determining whether the text content is real or not;
and if false, determining that the target data has text information risk.
6. The configurable report generation method according to claim 1, wherein the configuration parameters include intention element information, and after the steps of displaying a configuration interface corresponding to the configuration instruction and receiving the configuration parameters input based on the configuration interface when the configuration instruction is detected, the configurable report generation method further comprises:
determining an associated scene in the intention element information and a parameter value of the associated scene;
if an acquisition instruction triggered based on the intention element is detected, determining a scene link corresponding to the associated scene from a data source corresponding to the intention element information, and determining a target value of the scene link, wherein the parameter value comprises the target value;
and generating a corresponding target report according to the associated scene and the target value.
7. The configurable report generation method according to claim 6, wherein the step of generating a corresponding target report according to the association scenario and the target value comprises:
determining a value risk attribute corresponding to the target value;
and generating a corresponding target report based on the associated scene, the target value and the value risk attribute.
8. A configurable report generating device, said configurable report generating device comprising:
the configuration module is used for displaying a configuration interface corresponding to the configuration instruction when the configuration instruction is detected, and receiving configuration parameters input based on the configuration interface;
the extraction module is used for determining a report element of the configuration parameter and extracting target data from a data source corresponding to the report element if an acquisition instruction triggered based on the configuration parameter is detected;
the risk module is used for determining a data risk attribute corresponding to the target data;
and the generating module is used for generating a target report from the target data based on the data risk attribute.
9. A configurable report generating device, characterized in that the configurable report generating device comprises a processor, a memory, and a configurable report generating program stored on the memory and executable by the processor, wherein the configurable report generating program, when executed by the processor, implements the steps of the configurable report generating method according to any of claims 1 to 7.
10. A computer-readable storage medium, having a configurable report generation program stored thereon, wherein the configurable report generation program, when executed by a processor, implements the steps of the configurable report generation method according to any of claims 1 to 7.
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| CN202010134978.2A CN111428454A (en) | 2020-02-29 | 2020-02-29 | Configurable report generation method, device, equipment and readable storage medium |
| PCT/CN2021/071057 WO2021169630A1 (en) | 2020-02-29 | 2021-01-11 | Configurable report generation method, apparatus and device, and readable storage medium |
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| CN114326423A (en) * | 2021-12-21 | 2022-04-12 | 美的集团股份有限公司 | Automatic generation method of scene control scheme and scene control equipment |
| CN117291165A (en) * | 2023-11-24 | 2023-12-26 | 中国民航信息网络股份有限公司 | Data report generation method, device and equipment |
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| CN107845033A (en) * | 2017-11-08 | 2018-03-27 | 上海壹账通金融科技有限公司 | Air control report-generating method, device, equipment and computer-readable recording medium |
| CN109785114A (en) * | 2018-12-15 | 2019-05-21 | 深圳壹账通智能科技有限公司 | Credit data methods of exhibiting, device, equipment and medium for audit of providing a loan |
| CN110727922B (en) * | 2019-10-11 | 2023-08-29 | 集奥聚合(北京)人工智能科技有限公司 | Anti-fraud decision model construction method based on multi-dimensional data flow |
| CN111428454A (en) * | 2020-02-29 | 2020-07-17 | 深圳壹账通智能科技有限公司 | Configurable report generation method, device, equipment and readable storage medium |
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