TWM451585U - Intelligent computer-implemented system for processing characteristics analysis - Google Patents

Abstract

Disclosure is related to an intelligent computer-implemented system for processing human characteristics analysis. The system is a computer-implemented platform provided to process the characteristics analysis. In the system, an input unit is used to receive user information and its related space-time factors. The input data is particularly the user's time of birth which is relevant to the conditions of space and time when the user was born. The system uses a data transforming unit to conduct a numerical transformation of the user's basic data. The system further introduces application models for a computing unit to output application data which is specified to a model that reflects the user's characteristics. A postproduction unit is then incorporated to producing a diagram, in one of the embodiments, which indicates at least the user's aptitude and professional capability.

Description

Intelligent trait analysis processing system realized by computer operation

This creation relates to a smart trait analysis processing system realized by computer operation, in particular to a computer system for processing user's basic data combined with spatiotemporal parameters to generate personality trait reference information.

A person's personality, education, and environment may influence his future development, especially in the workplace. If you can get objective information about his personality traits in some analysis, you may be able to assist some decisions made by this person, such as can help. He chooses a more suitable job content in order to produce better play.

There are many techniques for analyzing personality traits in the prior art. Most of them are based on some basic information of the person, such as the date of birth, to analyze or count the possible personality traits of the person, and then to judge the direction in which he may develop. , such as career direction.

However, the analytical methods proposed by the prior art are often based on some artificial subjective judgments, plus the analysis of empirical values.

This creation, in view of some scientific research, points out that a person's basic data can accurately determine his personality traits in combination with some spatio-temporal environment analysis. Therefore, a smart trait analysis and processing system is proposed, which introduces the user's basic data through the numerical processing capability of the computer system. And the parameters of the specific space-time environment, numerical analysis, application of some application models, in order to obtain the user's statistical chart in a specific application.

According to the creative embodiment, the present invention relates to a smart trait analysis and processing system realized by computer operation, and one of the purposes can provide an analysis of the sexual orientation and workplace ability of the user to select the occupation and the enterprise recruitment, and the system is constructed in a computer system. According to an embodiment, the main components of the system include an input unit implemented in a computer hardware, a data conversion unit, an operation unit, a post-production unit, and an output unit.

The input unit provides an input interface for the user to receive the user data and the relevant space-time factor. The user data is specifically a parameter of the year, month, day, and time of the individual's birth, and the space-time factor corresponding to the parameter The values of year, month, day, and hour represent the celestial time and spatial position of the user at the time of birth.

After receiving the foregoing space-time factor and the user data, the data conversion unit included in the system performs a numerical conversion, and can represent the space-time condition as an operable numerical value, and then, after receiving the numerical value generated by the numerical conversion, the operation unit introduces an application. Project model to generate an application value. A post-production unit then produces a graph of results that reflects the personal or workplace abilities expressed by the application values.

According to one embodiment, the user connects to the system through a wireless communication interface or a wired communication interface provided by the computer system through a specific device, and inputs data through the user interface, wherein the data conversion unit converts the received space-time factor and user data. It is an operational time-space data and is quantized. The post-production unit uses the quantified application values to correspond to the application project model, and then presents the result graph in the output unit.

This creation is based on the value of a person’s basic date of birth, etc. The technique of trait trait analysis, especially through the calculation of computer system, realizes the analysis of personal traits, in addition to the introduction of the time and space parameters of the individual's birth year, month, day and time, and the personal physiological parameters such as blood type and finger palm print, etc. Some of the ancient Chinese research numerology that can reflect basic human genetic information (such as genes), especially the study of the Yijing, which is related to human behavior in the heavens and the earth, analyzes the individual traits through numerical calculus, and the quantified values can be It reflects the characteristics of people, and then promotes sexual orientation and workplace ability, as a reference for corporate employment or personal development.

The trait analysis system proposed in this creation is a system realized by a computer system, and FIG. 1 shows a schematic diagram of an application using the present intelligent trait analysis processing system.

The figure shows the server 12 connected to the network 10 and the terminal devices 101, 103, 105 used by the terminal personally, that is, the server 12 can be connected to the trait analysis system through the network 10 through various networked terminal devices. The server 12 will allow the user to input the necessary information through the user interface.

In this example, the server 12 has a function of managing users at each end. For example, the user management 121 provides a server to obtain the identity verification performed by the user through the terminal device, such as the device name, phone number, and user of each end user. Account or specific identifying information. The server has a database 123 for storing data uploaded by users at each end, and the database 123 further contains various analysis materials, including storing various statistical application project models, which effectively compare the calculated user data to generate Corresponding analysis results.

The server 12 has the capability of data processing 125, that is, the computer computing capability is used to calculate the correlation between the parameters of various application item models and the data input by the user, and the results statistically conforming to the user characteristics are obtained. after that Using the report processing 127 capability of the server 12, a chart showing the user's traits is output for interpretation.

The above-mentioned creation proposes a smart trait analysis processing system realized by using computer computing capability, and can particularly process user basic data in combination with space-time parameters to generate personality trait reference information, and the flow shown in FIG. 2 describes the analysis performed by the computer system. method.

In the smart trait analysis processing method, as shown in step S201, the system needs to obtain the basic data of the user at first, especially the time and space parameters such as the year, month, day, and time of birth, including the blood type of the person, the palm print of the finger, and the like. The physiological parameter of receiving the user's basic data generated by the remote (such as the network) or the near-end device.

Then, in step S203, according to the user data, the system will introduce the aforementioned spatiotemporal reference value and the physiological parameter value of the human, such as the symbol of the Yijing (the content of the Yijing is composed of "卦", which is a total of sixty-four). Time and space, and because the information contained in such a book can be linked to the unique information of human basic genetic information, such as the personal information contained in a person's genes, so that a unique numerical data can be generated, which will Nesting the application project model introduced by the system, in step S205, obtaining a specific model corresponding to the user data through statistical analysis, so in step S207, after the computer program calculated and analyzed, at least the learning ability can be obtained (special It is the value of the multi-intelligence related to the ability of the workplace and the workplace. These values reflect the characteristics of the user, such as personality traits, abilities and temperament. After the sorting process as in step S209, the individual's characteristics in all aspects can be obtained. The proportion in the overall environment, thus producing a trait analysis chart that is easy to read and easy to understand, as in step S211.

According to the above embodiment, the intelligent trait analysis processing system mainly utilizes The user's birthday (year, month, day, hour), or supplemented by personal physiological parameters (such as blood type, finger palm print, etc.), into the model formed by the Yijing, which refers to the birthday because of the year, month , day, time, etc. have their meaning in the operation of celestial bodies, and the Book of Changes is a study of the relationship between heaven and earth in all things, so it can be transferred to the system of trait analysis.

Among them, "Year" can indicate the time and space position of the Sun in the Milky Way; "Month" represents the position of the Moon around the Earth time and space; "Day" represents the time and space of the Earth's rotation and the Sun; "Time" represents the Earth. The position of time and space at a certain point.

Moreover, the space-time parameters introduced by the authoring system are like the dry calendars commonly used in China. Tiangandizhi refers to the dry branch, and Tiangan has a total of ten words, in the order of A, B, C, D, E, hex, G, Xin, 壬, 癸; the land branch has a total of twelve words, the order is child, ugly, 寅, 卯, Chen, Yi, Wu, Wu, Shen, Yi, Yi, Hai are all the Chinese traditionally used to arrange the order of the words, the two are arranged in parallel to form a heavenly table. The dry support records the recording time in the order of the above-mentioned heavenly and earthly branches, respectively, which can indicate the year, month, day, and hour. The combination of Tiangan and the earth branch is made into sixty-eight, and the sixty-three pieces constitute the conversion of time and space. This creation uses the parameters of the time and space to conduct qualitative and quantitative analysis of the year, month, day and time, and introduces the ancient knowledge of the Book of Changes, which can be used to obtain the analysis results with reference value.

Referring to FIG. 3, FIG. 3 is a schematic diagram of an embodiment of the present invention. The embodiment is shown as a system implemented by a computer system. The main circuit components are an input unit 31 and a data conversion unit 33 that are electrically connected to each other. The arithmetic unit 35, the post-production unit 37, and the output unit 39 do not exclude circuit components such as a database and a memory that are connected when the system is operating.

The circuit component has an input unit 31 for receiving a space-time factor 301 and an element 303. The space-time factor 301 contained herein is a space-time parameter such as the above-mentioned various representative years, months, days, and hours, and the element 303 is as physiologically as the user. Features such as blood type, hand prints, and palm prints do not preclude the possibility of using other biometric features. The input unit 31 can be a physical interface for external communication in the computer system, and is a wireless communication interface or a wired communication interface, such as a wired or wireless network card connected to the network, or a near-end signal line. The connected object can be a specific device that generates a space-time factor and user data, such as a terminal device held by the user, and can input data into the intelligent trait analysis processing system via a wireless communication interface or a wired communication interface.

The input device should have a device that can input data in the computer system, such as a keyboard, a mouse, or an input through a user interface displayed on the touch display of the mobile device.

The input space-time factor 301 and the element 303 can then be transmitted to the data conversion unit 33, and the data conversion unit 33 performs a numerical conversion on the information such as the space-time factor and the user's physiological characteristic data, and converts the parameter into a computer-readable value. Such as numbers, symbols, binary codes, and so on. The arithmetic unit 35 then receives the digitized value, and the operation unit 35 introduces an application item model to generate an application value.

For example, the system database can carry multiple application project models. These models are statistical models that can represent the individual analysis characteristics of the individual. The application of the model allows the system to obtain the user's personality trait analysis and infant temperament analysis. , ability analysis, including work ability, interpersonal relationship and learning mode, and even the type of work in the workplace, etc., after the user data, these analysis results will provide users with a variety of traits in various aspects.

Then, the application value is received by the post-production unit 37 of the connection operation unit 35, and the value is applied to the chart to generate a result chart which is easy to read and clearly reflects the characteristics of the user, for example, through the radar chart, using the ratio of the individual in various aspects. Its comprehensive characteristics. The results of the trait analysis will give the characteristics of the user's external behavior (70) and intrinsic thinking (72). Refer to the analysis results generated by the Creative Intelligence trait analysis processing system shown in Figure 7, where the external behavior (70) Included are: indicators that express the physical ability of the individual: physical kinetic energy (701), an indicator of the ability of the individual to communicate with others: interpersonal relationship (702), an indicator of the ability of the individual to reflect on things: personal introspection (703), and expression Individual indicators of multilingualism and expression of energy: language intelligence (704); internal thinking (72) includes indicators that indicate the ability of personal logic to judge: logical mathematics (721), indicating the ability of individuals to judge in images and space. Indicators: visual space (722), an indicator of the ability of individuals to observe the natural environment: natural observation (723), and the ability to deal with music and sound: music intelligence (724), and these capacity distributions will reflect the user The possibility of being in the workplace.

As shown in the example shown in Fig. 7, the trait analysis finally shows the distribution of the traits of the extrinsic behavior (70) and the intrinsic thinking (72), and the performance in all aspects can be represented by a radar chart, but is not limited to this expression.

For example, after combining the above various traits, if the applied application is to obtain the user's professional ability analysis, the result chart will reflect that the user's trait is a research-oriented employee in the workplace, or has Creative artistic staff, socially capable social employees, or management-oriented employees with management skills, or hard-working employees who are generally hard-working, or actual employees who value payroll, one employee usually meeting With a variety of traits that can be highlighted by charts, these types of analysis can provide a reference for the user to choose a career, as well as provide a corporate recruitment. After analyzing the results, finally, the corresponding product 305 is output through the output unit 39 in the system, such as a chart and a report printed or displayed on the display.

Fig. 4 next shows a schematic diagram of an embodiment of the data conversion unit 33 in the aforementioned smart trait analysis processing system.

The data conversion unit 33 shown in the figure receives the spatiotemporal parameters and user information obtained from the input unit 31, and after conversion, the data is transmitted to the arithmetic unit 35.

The data conversion unit 33 is provided with a space-time factor conversion module 331 and a numericalization module 333 implemented by hardware components at least in accordance with functions. The space-time factor conversion module 33 can obtain the characteristics possessed by the user, such as a blood type, a hand fingerprint, a palm print or other biological features, from the device 401 that generates the gene value, and then obtain the associated user's birth year and month from the device 403 that generates the environmental parameter. Time and space parameters of day, day and time can convert the received space-time factor and user data into an operational time-space data. The numerical module 333 can quantize the achievable spatiotemporal data to produce computer readable data.

Further, as shown in FIG. 5, an embodiment of the foregoing operation unit 35 is described. In this example, the operation unit 35 obtains data readable by the computer by the data conversion unit 33, and introduces an application project model by operation, thereby generating an application value and providing a post-production system. Unit 37.

The computing unit 35 is a core circuit of a computer system. As shown, the computing unit 35 includes a memory 351 electrically connected to each other, a processor 353, and an input interface 355. The memory 351 is used for storing the entire intelligent trait analysis processing system operating program, and provides system operation during system startup, and the processor 353 It is used to perform the computing work of the system. Further, an input interface 355 can be used to receive the value generated by the digitization of the data conversion unit 33 and receive the application item model transmitted from the device 501 that generates the application project model. The device 501 for generating an application project model described herein may be an external storage that stores one of a plurality of application project models.

The application project model allows the user to select the type to be analyzed. The statistical analysis model generated according to the analysis characteristics of various people allows the system to obtain the user's infant temperament analysis, user personality trait analysis, and capability analysis, including work. Ability, interpersonal relationships and learning patterns, and even the type of work in the workplace.

For the analysis of the learning mode, reference can be made to the analysis case shown in Fig. 8. After the processing of the intelligent trait analysis processing system, the user can obtain the distribution of various characteristics after the induction, as shown in Fig. 8 At least three types, such as thinking type 803 and feeling type 805, and enumerating these three types can roughly know the learning mode of the user. If the user's learning type is distributed to the gravity line type (801), the learning direction may be directed to the practitioner and the direction of the performer; if the user is biased toward the thinking type 803, the work and learning direction may be given to the more specific planning direction. If you prefer the 805, you may be suitable for design, music, and art. These also provide users with the choice of occupation type and work style.

For infant temperament analysis, such as the analysis of learning ability, you can refer to the radar map shown in Figure 9. This example shows that after the analysis of the author system, the behavior can be achieved for infants and young children, so parents can learn about their children. What kind of temperament belongs to, including indicators 801, activity 903, regularity 905, persistence 907 and attention 909.

Infants and young children belonging to the adaptive (901), indicating that it takes a long time To accept or adapt to new things, this can be used as a reference for learning; if it is a large-sized infant with a large amount of activity (903), a larger amount of outdoor learning activities can be arranged. Conversely, if the index is low, it is possible It means that children like static activities; if they are regular (905) infants, they may have to cooperate with regular activities; if they are infants with higher persistence (907), they can say that children's personality can persist in learning, if If the index is low, it may need to be improved corresponding to the provision of learning activities; if it is for infants with higher attention (909), it means that they can concentrate on learning. On the contrary, parents can arrange learning activities to enhance the attention of children. force. The above analysis is only one of the ways to apply this authoring system, and is not intended to limit the interpretation and scope of this creation.

While FIG. 6 continues to describe the operation of the post-production unit 37. The post-production unit 37 includes an application value 371 stored from the operation unit 35, an application structure 372 extracted from each model, a database 373 having necessary information for the post-production, and a storage space for the image file 374 for generating the result chart. .

Finally, the result is output by the output unit 39, and the output result can be graphically represented as shown in Figs. 7, 8, and 9. The output unit 39 is a display or a printing device for presenting a result chart, or a communication circuit for providing a computer system connection network, and outputting the result to the terminal device of the user terminal, which can be referred to by the user at each end of FIG. s installation.

In summary, the disclosure describes a smart trait analysis processing system realized by computer operation, in particular, according to the basic data of the user corresponding to the time and space conditions at birth, applying some computer system processing, and applying in various analysis. On the model, the user's characteristics are obtained accordingly.

However, the above description is only a preferred and feasible embodiment of the present invention, and thus does not limit the scope of the patent of the creation, so the application of the creation specification and the illustration is used. The equivalent structural changes of the content are included in the scope of this creation and are combined with Chen Ming.

10‧‧‧Network

12‧‧‧Server

121‧‧‧User Management

123‧‧‧Database

125‧‧‧Data processing

127‧‧‧Report Processing

101,103,105‧‧‧ Terminal devices

301‧‧‧ Space Time Factor

303‧‧‧ elements

305‧‧‧Products

31‧‧‧ Input unit

33‧‧‧Data Conversion Unit

35‧‧‧ arithmetic unit

37‧‧‧post unit

39‧‧‧Output unit

331‧‧‧ Space Time Factor Conversion Module

333‧‧‧Numerical Module

401‧‧‧Devices for generating genetic values

403‧‧‧Devices that generate environmental parameters

351‧‧‧ memory

353‧‧‧ processor

355‧‧‧Input interface

501‧‧‧Devices that produce application project models

371‧‧‧Application values

372‧‧‧Application structure

373‧‧‧Database

374‧‧‧ image file

70‧‧‧External behavior

701‧‧‧ limb kinetic energy

702‧‧‧Interpersonal relationship

703‧‧‧person introspection

704‧‧‧Chinese language intelligence

72‧‧‧Intrinsic thinking

721‧‧‧Logical Mathematics

722‧‧‧ visual space

723‧‧‧Natural observation

724‧‧‧Music Intelligence

801‧‧‧force type

803‧‧‧Thinking

805‧‧‧Feeling

901‧‧‧Adaptability

903‧‧‧ activities

905‧‧‧ regularity

907‧‧‧Persistence

909‧‧‧ Attention

Step S201~S211‧‧‧ trait analysis process

FIG. 1 is a schematic diagram showing an application of a smart trait analysis processing system realized by using the computer operation of the present invention; FIG. 2 is a flowchart showing a smart trait analysis processing system realized by using the creation computer operation; FIG. 3 shows an intelligent realization of the computer operation of the creation computer. One of the schematic diagrams of the embodiment of the trait analysis processing system; FIG. 4 shows a second schematic diagram of an embodiment of the intelligent trait analysis processing system realized by the computer operation; FIG. 5 shows an embodiment of the intelligent trait analysis processing system realized by the creation computer operation. FIG. 6 shows a fourth schematic diagram of an embodiment of the intelligent trait analysis processing system realized by the computer operation; FIG. 7 shows one of the analysis results generated by the creative intelligent trait analysis processing system; The second analysis result produced by the intelligent trait analysis and processing system is shown in Fig. 9;

301‧‧‧ Space Time Factor

303‧‧‧ elements

305‧‧‧Products

31‧‧‧ Input unit

33‧‧‧Data Conversion Unit

35‧‧‧ arithmetic unit

37‧‧‧post unit

39‧‧‧Output unit

Claims (10)

A computer-implemented intelligent trait analysis processing system is constructed in a computer system, comprising: an input unit for receiving user data and related space-time factors; a data conversion unit electrically connected to the input unit, receiving the space-time The factor performs a numerical conversion with the user data; an arithmetic unit electrically connects the data conversion unit, receives the numerical value generated by the numerical conversion, and introduces an application project model to generate an application value; The unit is electrically connected to the operation unit, and receives the application value generated by the operation unit to generate a result chart; and an output unit that presents the result chart is electrically connected to the operation unit. The intelligent trait analysis processing system implemented by the computer operation described in claim 1, wherein the input unit is a wireless communication interface or a wired communication interface of the computer system. The intelligent trait analysis processing system implemented by the computer operation described in claim 2, wherein the space-time factor and the user data are generated by an input device connected to the computer system, and then the wireless communication interface or the wired communication The interface is input to the intelligent trait analysis processing system. The intelligent trait analysis processing system implemented by the computer operation described in claim 3, wherein the input device comprises a display for displaying a user interface. The intelligent trait analysis processing system implemented by the computer operation described in claim 1, wherein the data conversion unit further comprises: a method for converting the received space-time factor and the user data. a space-time factor conversion module for computing spatiotemporal data; and a numerical module for quantizing the imaginable spatiotemporal data. The intelligent trait analysis processing system implemented by the computer operation described in claim 1, wherein the computing unit further comprises: a memory for storing the intelligent trait analysis processing system operating program; a processor for performing the computing operation, the electric An input interface is electrically connected to the processor for receiving a value generated by the digitization of the data conversion unit, and receiving an application item model transmitted from a device. The intelligent trait analysis processing system implemented by the computer operation described in claim 6 is wherein the device is an external storage device that stores one of the plurality of application project models. The intelligent trait analysis processing system implemented by the computer operation described in claim 6, wherein the post-production unit includes an application value obtained from the operation unit, an application structure corresponding to the application item model, and a graph for generating the result. A storage space for the image file. The intelligent trait analysis processing system implemented by the computer operation described in claim 1, wherein the output unit is a display or a printing device that presents the result graph. The intelligent trait analysis processing system implemented by the computer operation described in claim 1, wherein the output unit is a communication circuit for providing a connection network of the computer system.