Psychological testing and evaluating system and device based on artificial intelligence

Abstract

The invention discloses a psychological detection and evaluation system and device based on artificial intelligence, and belongs to the technical field of detection and evaluation. The method and the device are used for solving the technical problem that the comprehensiveness and the reliability of psychological detection evaluation are poor due to the fact that multi-object and multi-dimensional evaluation cannot be implemented on psychological detection in an existing scheme. Monitoring and counting psychological detection processing results and corresponding psychological detection processing schemes of psychologists on different target persons, and sequentially performing tracing evaluation and digital processing combination on processing effects of the psychological detection processing schemes corresponding to the different target persons; carrying out expansion processing of different dimensions on the scheme implementation effect supervision sequences corresponding to different target personnel obtained through earlier stage processing, and carrying out data calculation and combination of different modes on the obtained scheme implementation effect supervision sequences; and data analysis is carried out on the psychological implementation supervision sequence obtained through combination to carry out targeted evaluation prompt on the psychological detection service state corresponding to the psychologist.

Description

Technical Field

[0001] The present invention relates to the field of detection and evaluation technology, and in particular to a psychological detection and evaluation system and device based on artificial intelligence. Background Art

[0002] Psychological testing generally refers to a series of methods and techniques for assessing an individual's mental health status. These methods may include but are not limited to questionnaires, interviews, behavioral observations, and standardized psychological tests. The purpose of psychological testing is to help professionals understand the individual's mental health status, identify possible psychological disorders or diseases, and provide a basis for formulating treatment plans.

[0003] When implemented, most existing psychological testing and assessment programs still remain at the stage of single-object supervision and analysis and single-dimensional supervision and analysis. They are unable to conduct multi-object and multi-dimensional assessments of psychological tests performed by psychologists, resulting in poor comprehensiveness and reliability of psychological testing and assessment. Summary of the invention

[0004] The purpose of the present invention is to provide a psychological testing and evaluation system and device based on artificial intelligence, which is used to solve the technical problem that the existing solutions cannot implement multi-object and multi-dimensional evaluation of psychological testing, resulting in poor comprehensiveness and reliability of psychological testing and evaluation.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A psychological testing and evaluation system based on artificial intelligence includes a psychological testing and processing supervision module, which is used to monitor the psychological testing and processing results of different target persons by statistical psychologists and the corresponding psychological testing and processing plans, and to conduct retrospective evaluation and digital processing combination of the processing effects of the psychological testing and processing plans corresponding to different target persons in turn, so as to obtain the supervision sequence of the implementation effects of the plans corresponding to different target persons;

[0007] The psychological testing processing evaluation module is used to evaluate the psychological testing processing status in different dimensions according to the supervision sequence of the implementation effect of the corresponding processing of different target personnel, and to adaptively provide targeted evaluation prompts for the psychological testing services of psychologists based on the evaluation results of the psychological testing processing status in different dimensions;

[0008] Among them, the psychological detection and processing status evaluation and analysis of the individual detection and processing dimension is carried out on the individual target personnel, and the individual psychological detection and processing status of the corresponding psychological detection and processing schemes of different target personnel is obtained;

[0009] According to the individual psychological detection processing status, the psychological detection processing status of different psychological detection processing schemes is evaluated in the scheme detection processing dimension, and the corresponding scheme implementation effect supervision sequence is obtained;

[0010] Process the supervision sequence of program implementation effect, and obtain the first psychological implementation effective value and the second psychological implementation effective value corresponding to all psychological testing and treatment programs implemented by psychologists on different target persons;

[0011] The first psychological implementation effective value and the second psychological implementation effective value are processed and analyzed to provide targeted evaluation prompts for the corresponding psychological testing service status of the psychologist.

[0012] Preferably, according to the time sequence of psychological testing processing, the psychological testing processing results obtained by the psychologist for serving different target persons and the corresponding psychological testing processing schemes are sorted and combined to obtain a psychological testing implementation table;

[0013] When retrospectively evaluating and digitally processing the treatment effects of psychological testing treatment plans for different target personnel according to the psychological testing implementation table;

[0014] Obtaining a number of corresponding follow-up evaluation timestamps according to the psychological detection treatment plan and the diagnosis timestamp corresponding to the target person, and obtaining a local implementation effect of the psychological detection treatment plan corresponding to the target person after implementation according to the number of follow-up evaluation timestamps;

[0015] When the local implementation effect is digitally processed, the local implementation effect is analyzed by the effect state recognition function and the corresponding local effect identification JXij is output; i is a different psychological detection processing scheme; j is a different follow-up evaluation timestamp of the psychological detection processing scheme; i = {1, 2, 3, ..., n}; n is a positive integer; j = {1, 2, 3, ..., m}; m is a positive integer;

[0016] The partial effect indicator contains a value of 0, 1, or 2, indicating that the implementation effect of the corresponding psychological testing treatment plan at the stage is effective, partially effective, or ineffective;

[0017] The local effect identifiers obtained from the psychological testing treatment plans corresponding to the target personnel at different follow-up evaluation timestamps are sorted and combined to obtain the supervision sequence of the implementation effect of the plan corresponding to the target personnel.

[0018] Preferably, the expression of the effect state identification function is: Where Uij is the standard range of local implementation effect corresponding to different follow-up evaluation timestamps of different psychological detection treatment schemes.

[0019] Preferably, when the psychological detection processing status evaluation of the individual detection processing dimension is implemented for the individual target person, the program implementation effect supervision sequence corresponding to the individual target person is traversed, and the total number of first elements NX1 with a value of 0 and the total number of second elements NX2 with a value of 1 are counted respectively, and the total number of first elements NX1 and the total number of second elements NX2 obtained by counting are calculated by the formula Calculate and obtain the personnel implementation validity GX corresponding to the target personnel; where β is the effect weight coefficient and is greater than one; α is the correction factor and belongs to (0, 1); NZ is the total number of all elements in the supervision sequence of the implementation effect of the individual target personnel corresponding to the program; XB0 is the standard value of the personnel implementation validity corresponding to the psychological testing treatment program for the target personnel; [] is the rounding function.

[0020] Preferably, the personnel implementation validity is analyzed to determine the individual psychological detection processing status of the target personnel corresponding to the psychological detection processing scheme;

[0021] The individual psychological detection processing status includes the individual psychological detection processing overall effective status, the individual psychological detection processing partial effective status or the individual psychological detection processing invalid status.

[0022] Preferably, when evaluating the psychological detection processing status of different psychological detection processing schemes in the detection processing dimension, all target personnel implementing the same psychological detection processing scheme and their corresponding individual psychological detection processing status are obtained, and the total number of abnormal personnel NY corresponding to the invalid individual psychological detection processing status is counted, and the formula is used to calculate the number of abnormal personnel NY corresponding to the invalid individual psychological detection processing status. Calculate and obtain the implementation validity FX of the corresponding psychological testing treatment plan; where FZ is the total number of people who implement the same psychological testing treatment plan; FB is the standard value of the implementation validity of the psychological testing treatment plan;

[0023] The program implementation validity with a value of 0 is marked as reliable program implementation validity, and the program implementation validity with a value of 1 is marked as unreliable program implementation validity;

[0024] The reliable scheme implementation validity or unreliable scheme implementation validity corresponding to all psychological testing and treatment schemes implemented by psychologists on different target persons are ranked and combined to obtain the scheme implementation effect supervision sequence.

[0025] Preferably, by the formula Calculate and obtain the first psychological implementation effective value XY corresponding to all psychological testing and treatment plans implemented by psychologists on different target personnel; where NK is the total number of reliable plan implementation validity in the plan implementation effect supervision sequence; NQ is the total number of reliable plan implementation validity and unreliable plan implementation validity in the plan implementation effect supervision sequence; A is the standard psychological implementation effective value.

[0026] Preferably, by the formula Calculate and obtain the second psychological implementation effective value XE corresponding to all psychological detection and treatment schemes implemented by psychologists for different target persons; where η and μ are the calculation weight coefficients of different data items, and 0<μ<η; YZ is the total number of people corresponding to the overall effective state of individual psychological detection and treatment; BZ is the total number of people corresponding to the partial effective state of individual psychological detection and treatment; RN is the total number of all target persons served by psychologists;

[0027] The first psychological implementation effective value and the second psychological implementation effective value are sorted and combined to obtain the psychological implementation supervision sequence corresponding to the psychologist.

[0028] Preferably, the psychological implementation supervision sequence is analyzed to determine the corresponding psychological testing service status of the psychologist and implement targeted assessment prompts;

[0029] Among them, if all the elements in the psychological implementation supervision sequence are 0, an excellent state of the psychological testing service is generated and a prompt is given; if there are non-zero values ​​in the psychological implementation supervision sequence, a general state of the psychological testing service is generated and a prompt for local optimization of the psychological testing service is given; if all the elements in the psychological implementation supervision sequence are not 0, an unreliable state of the psychological testing service is generated and a prompt for overall optimization of the psychological testing service is given.

[0030] The present invention also discloses a psychological detection and evaluation device based on artificial intelligence, comprising at least one processor; and a memory in communication connection with the at least one processor;

[0031] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute a psychological detection and evaluation system based on artificial intelligence as described above.

[0032] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0033] The present invention monitors and compiles the psychological testing results and corresponding psychological testing solutions of different target persons by statistical psychologists, and conducts retrospective evaluation and digital processing combination on the treatment effects of the corresponding psychological testing solutions for different target persons in turn. It can not only realize the digital representation of the stage implementation effects of different target persons corresponding to different follow-up evaluation time periods, but also provide reliable local supervision and analysis data support for the subsequent psychological testing service status processing and analysis of different dimensions by psychologists.

[0034] The present invention obtains the personnel implementation validity and the program implementation effect supervision sequence of the corresponding dimensions by performing expansion processing in different dimensions on the program implementation effect supervision sequence corresponding to the different target persons obtained in the previous processing, and calculates and combines the data of the program implementation effect supervision sequence in different ways, and performs data analysis on the combined psychological implementation supervision sequence to implement targeted evaluation prompts for the psychological testing service status corresponding to the psychologist, thereby realizing diversified evaluation and analysis of the psychological testing of different target persons and the psychological testing services of psychologists, and improving the diversity and comprehensiveness of psychological testing evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 The present invention is a flowchart of the operation of an artificial intelligence-based psychological testing and evaluation system.

[0037] Figure 2 The present invention is a flowchart for analyzing the psychological testing service status corresponding to a psychologist and implementing targeted assessment prompts.

[0038] Figure 3 The present invention is a schematic diagram of the device structure for realizing a psychological detection and evaluation system based on artificial intelligence. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Example 1: Figure 1 As shown, the present invention is a psychological testing and evaluation system based on artificial intelligence, including a psychological testing and processing supervision module and a psychological testing and processing evaluation module;

[0041] The psychological testing and processing supervision module is used to monitor the psychological testing and processing results of different target personnel by statistical psychologists and the corresponding psychological testing and processing plans, and to conduct retrospective evaluation and digital processing combination of the processing effects of the psychological testing and processing plans corresponding to different target personnel in turn, so as to obtain the supervision sequence of the implementation effects of the plans corresponding to different target personnel; including:

[0042] According to the time sequence of psychological testing, the psychological testing results obtained by psychologists from serving different target personnel and the corresponding psychological testing solutions are sorted and combined to obtain a psychological testing implementation table;

[0043] It should be noted that the target personnel are specifically those who need psychological testing services;

[0044] In addition, the psychological testing and treatment results include local implementation effects corresponding to several follow-up evaluation time periods; psychological testing and treatment programs include but are not limited to cognitive behavioral therapy programs, mindfulness therapy programs, art therapy programs, and exposure therapy programs;

[0045] When retrospectively evaluating and digitally processing the treatment effects of psychological testing treatment plans for different target personnel according to the psychological testing implementation table;

[0046] Obtaining a number of corresponding follow-up evaluation timestamps according to the psychological detection treatment plan and the diagnosis timestamp corresponding to the target person, and obtaining a local implementation effect of the psychological detection treatment plan corresponding to the target person after implementation according to the number of follow-up evaluation timestamps;

[0047] Among them, the units corresponding to different types of timestamps are all days; different psychological testing and processing plans include a number of psychological follow-up services, and a number of psychological follow-up services correspond to a number of follow-up evaluation time periods;

[0048] The psychological follow-up services and the corresponding follow-up evaluation time periods corresponding to different psychological testing and treatment plans can be determined based on the existing implementation standards of psychological testing and treatment plans, or based on the personal service experience of the psychologist;

[0049] The local implementation effect includes several effect indicators and their corresponding indicator feedback data;

[0050] Several effect indicators are determined by the specific implementation content of the corresponding psychological testing and treatment plan;

[0051] The indicator feedback data is obtained by the psychologist asking the target person and recording it;

[0052] When the local implementation effect is digitally processed, the local implementation effect is analyzed by the effect state recognition function and the corresponding local effect identification JXij is output; i is a different psychological detection processing scheme; j is a different follow-up evaluation timestamp of the psychological detection processing scheme; i = {1, 2, 3, ..., n}; n is a positive integer; j = {1, 2, 3, ..., m}; m is a positive integer;

[0053] Among them, the expression of the effect state identification function is Where Uij is the local implementation effect standard range corresponding to different follow-up evaluation timestamps of different psychological testing treatment plans, which can be determined based on the existing psychological testing treatment plan implementation requirements data, or based on the actual work requirements and experience of psychologists;

[0054] It should be noted that the local effect identifier is used to perform data analysis on the local implementation effect and the corresponding local implementation effect standard range to digitally represent the corresponding stage implementation effect;

[0055] The partial effect indicator contains a value of 0, 1, or 2, indicating that the implementation effect of the corresponding psychological testing treatment plan at the stage is effective, partially effective, or ineffective;

[0056] The local effect identifiers obtained by processing the psychological detection treatment plans corresponding to the target personnel at different follow-up evaluation timestamps are sorted and combined to obtain the supervision sequence of the implementation effect of the plan corresponding to the target personnel;

[0057] In the embodiment of the present invention, by monitoring the psychological testing results and corresponding psychological testing solutions of different target persons by statistical psychologists, and conducting retrospective evaluation and digital processing combination on the processing effects of the corresponding psychological testing solutions for different target persons in turn, it is possible to digitally represent the stage implementation effects of different target persons corresponding to different follow-up evaluation time periods, and provide reliable local supervision and analysis data support for the subsequent processing and analysis of psychological testing service status in different dimensions by psychologists.

[0058] The psychological testing processing evaluation module is used to evaluate the psychological testing processing status in different dimensions according to the supervision sequence of the implementation effect of the corresponding processing obtained by different target personnel, and to adaptively implement targeted evaluation prompts for the psychological testing services of psychologists based on the evaluation results of the psychological testing processing status in different dimensions; including:

[0059] When evaluating the psychological detection and processing status of the individual detection and processing dimension for individual target personnel, the program implementation effect supervision sequence corresponding to the individual target personnel is traversed, and the total number of first elements NX1 with a value of 0 and the total number of second elements NX2 with a value of 1 are counted respectively. The total number of first elements NX1 and the total number of second elements NX2 obtained by counting are calculated by the formula Calculate and obtain the personnel implementation validity GX corresponding to the target personnel; where β is the effect weight coefficient and is greater than one; α is the correction factor and belongs to (0, 1), and the specific values ​​of β and α are not restricted and can be customized according to the actual application scenario; NZ is the total number of all elements in the supervision sequence of the implementation effect of the individual target personnel corresponding to the program; XB0 is the personnel implementation validity standard value corresponding to the psychological detection treatment program for the target personnel, which can be determined according to the existing service requirements of the corresponding psychological detection treatment program; [] is the rounding function;

[0060] It should be noted that the personnel implementation validity is used to calculate the data of all local implementation effects of the psychological detection treatment plan after the individual target personnel have been subjected to the psychological detection treatment plan, so as to digitally represent the individual psychological detection treatment status of the target personnel corresponding to the psychological detection treatment plan;

[0061] Analyze the effectiveness of personnel implementation to determine the individual psychological testing treatment status of the target personnel corresponding to the psychological testing treatment plan; the individual psychological testing treatment status includes the overall effective status of the individual psychological testing treatment, the partial effective status of the individual psychological testing treatment, or the invalid status of the individual psychological testing treatment;

[0062] If the personnel implementation validity is 0, then generate individual overall effective instructions and conduct individual psychological testing to process the overall effective status prompt;

[0063] If the personnel implementation validity is 1, then the individual partially valid instructions are generated and the individual psychological test is carried out to process the partially valid status prompt;

[0064] If the personnel implementation validity is 2, an individual invalid instruction is generated and an individual psychological test is performed to handle the invalid status prompt;

[0065] In the embodiment of the present invention, by implementing the psychological detection processing status evaluation of the individual detection processing dimension for different individual target persons served by the psychologist, it is possible to realize the digital representation of the individual psychological detection processing status corresponding to the different individual target persons, and provide reliable individual psychological detection processing data support for the subsequent psychological detection service status processing analysis of different dimensions by the psychologist;

[0066] When evaluating the psychological detection and processing status of different psychological detection and processing schemes in the detection and processing dimension, obtain all target personnel who implement the same psychological detection and processing scheme and their corresponding individual psychological detection and processing status, and count the total number of abnormal personnel NY corresponding to the invalid status of individual psychological detection and processing, and use the formula Calculate and obtain the scheme implementation validity FX corresponding to the corresponding psychological testing treatment scheme; where FZ is the total number of people who implement the same psychological testing treatment scheme; FB is the scheme implementation validity standard value corresponding to the psychological testing treatment scheme, which can be determined based on the existing service requirements of the corresponding psychological testing treatment scheme;

[0067] It should be noted that the program implementation validity is used to calculate the data of the individual psychological testing treatment status corresponding to all target personnel of the psychological testing treatment program, so as to digitally represent the overall effect of the program implementation corresponding to the psychological testing treatment program;

[0068] The program implementation validity with a value of 0 is marked as reliable program implementation validity, and the program implementation validity with a value of 1 is marked as unreliable program implementation validity;

[0069] The reliable scheme implementation validity or unreliable scheme implementation validity corresponding to all psychological testing and treatment schemes implemented by psychologists on different target persons are ranked and combined to obtain the scheme implementation effect supervision sequence;

[0070] In the embodiment of the present invention, by evaluating the psychological testing processing status of the testing processing dimensions of different psychological testing processing scheme implementation plans and combining data, the scheme implementation effect supervision sequence corresponding to all psychological testing processing schemes is obtained, and the digital processing of the testing processing dimensions of different psychological testing processing scheme implementation plans is realized. At the same time, reliable data support for the overall effect of scheme implementation can also be provided for subsequent psychological testing service status processing analysis of different dimensions by psychologists.

[0071] When expanding the use of the monitoring sequence of the implementation effect of the program obtained through the formula Calculate and obtain the first psychological implementation effective value XY corresponding to all psychological testing and treatment plans implemented by psychologists on different target personnel; where NK is the total number of reliable plan implementation validity in the plan implementation effect supervision sequence; NQ is the total number of reliable plan implementation validity and unreliable plan implementation validity in the plan implementation effect supervision sequence; A is the standard psychological implementation effective value, which can be determined based on the existing psychologists' service requirement data;

[0072] It should be noted that the first effective value of psychological implementation is used to calculate the program supervision and analysis data corresponding to all psychological testing treatment programs to digitally represent the psychological testing service status of psychologists in local dimensions;

[0073] And, through the formula Calculate and obtain the second psychological implementation effective value XE corresponding to all psychological detection and treatment schemes implemented by the psychologist for different target persons; where η and μ are the calculation weight coefficients of different data items, and 0<μ<η. The specific value is not limited and can be customized according to the actual application scenario; YZ is the total number of people corresponding to the overall effective state of individual psychological detection and treatment; BZ is the total number of people corresponding to the partial effective state of individual psychological detection and treatment; RN is the total number of all target persons served by the psychologist;

[0074] It should be noted that the second psychological implementation effective value is used to calculate the personnel supervision analysis data corresponding to all target personnel to digitally represent the psychological testing service status of psychologists in local dimensions;

[0075] The first psychological implementation effective value and the second psychological implementation effective value are sorted and combined to obtain the psychological implementation supervision sequence corresponding to the psychologist;

[0076] In an embodiment of the present invention, by further expanding and calculating the early supervision analysis data of different dimensions, a psychological implementation supervision sequence of different dimensional processing combinations of psychologists is obtained, which can provide multi-dimensional reliable data support for subsequent psychologists' psychological testing service status analysis.

[0077] like Figure 2 As shown, the psychological supervision sequence is analyzed to determine the corresponding psychological testing service status of the psychologist and implement targeted assessment prompts;

[0078] If all elements in the psychological implementation supervision sequence are 0, the excellent status of psychological testing service is generated and prompted;

[0079] If there is a non-zero value in the psychological implementation supervision sequence, the general status of the psychological testing service is generated and a reminder of partial optimization of the psychological testing service is given; the partial optimization of the psychological testing service may specifically include the psychologist being on duty and conducting service learning and training;

[0080] If all elements in the psychological implementation supervision sequence are not 0, the psychological testing service is in an unreliable state and a reminder of overall optimization of the psychological testing service is given; the overall optimization of the psychological testing service may specifically involve the psychologist leaving his post and undergoing service learning and training;

[0081] In the implementation of the present invention, by performing expansion processing in different dimensions on the program implementation effect supervision sequence corresponding to different target persons obtained in the previous processing, the personnel implementation validity and the program implementation effect supervision sequence of the corresponding dimensions are obtained, and the data of the program implementation effect supervision sequence are calculated and combined in different ways, and the psychological implementation supervision sequence obtained by the combination is analyzed to implement targeted evaluation prompts for the psychological testing service status corresponding to the psychologist, thereby realizing diversified evaluation and analysis of psychological testing of different target persons and psychological testing services of psychologists, and improving the diversity and comprehensiveness of psychological testing evaluation.

[0082] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0083] Example 2: Figure 3 , which is a schematic diagram of the structure of a device for implementing an artificial intelligence-based psychological detection and evaluation system provided by an embodiment of the present invention.

[0084] The device may include a processor, a memory, and a bus, and may also include a computer program stored in the memory and executable on the processor, such as a program for a psychological detection and evaluation system based on artificial intelligence.

[0085] Among them, the memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory can be an internal storage unit of the device, such as a mobile hard disk of the device. In other embodiments, the memory can also be an external storage device of the device, such as a plug-in mobile hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the device. Further, the memory can also include both the internal storage unit of the device and the external storage device. The memory can not only be used to store application software and various types of data installed in the device, such as the code of a program of a psychological detection and evaluation system based on artificial intelligence, but also can be used to temporarily store data that has been output or is to be output.

[0086] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of integrated circuits packaged in the same position or in different positions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor is the control core (Control Unit) of the device, and uses various interfaces and lines to connect the various components of the entire device, and executes or executes programs or modules stored in the memory (such as a program of a psychological detection and evaluation system based on artificial intelligence, etc.), and calls data stored in the memory to execute various positions of the device and process data.

[0087] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0088] Figure 3 Only a device with components is shown, and it can be understood by those skilled in the art that Figure 3 The structure shown does not constitute a limitation of the device, and may include fewer or more components than shown, or combine certain components, or arrange the components differently.

[0089] For example, although not shown, the device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to at least one processor through a power management device, so that charging management, discharging management, and power consumption management are implemented through the power management device. The power source may also include any components such as one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, etc. The device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0090] Furthermore, the device may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the device and other devices.

[0091] Optionally, the device may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the device and to display a visual user interface.

[0092] It should be understood that the above embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0093] The program of a psychological detection and evaluation system based on artificial intelligence stored in the memory of the device is a combination of multiple instructions.

[0094] Specifically, the specific implementation method of the processor for the above instructions can refer to Figure 1 to Figure 2 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0095] Furthermore, if the module / unit integrated in the device is implemented in the form of a software location unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0096] The present invention also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor of a device.

[0097] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical position division, and there may be other division methods in actual implementation.

[0098] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] In addition, each position module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software position module.

[0100] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A psychological testing and evaluation system based on artificial intelligence, characterized in that: include: The psychological testing and processing supervision module is used to monitor the psychological testing and processing results of different target persons by statistical psychologists and the corresponding psychological testing and processing plans, and to conduct retrospective evaluation and digital processing combination of the processing effects of the psychological testing and processing plans corresponding to different target persons in turn, so as to obtain the supervision sequence of the implementation effects of the plans corresponding to different target persons; The psychological testing processing evaluation module is used to evaluate the psychological testing processing status in different dimensions according to the supervision sequence of the implementation effect of the corresponding processing of different target personnel, and to adaptively provide targeted evaluation prompts for the psychological testing services of psychologists based on the evaluation results of the psychological testing processing status in different dimensions; Among them, the psychological detection and processing status evaluation and analysis of the individual detection and processing dimension is carried out on the individual target personnel, and the individual psychological detection and processing status of the corresponding psychological detection and processing schemes of different target personnel is obtained; According to the individual psychological detection processing status, the psychological detection processing status of different psychological detection processing schemes is evaluated in the scheme detection processing dimension, and the corresponding scheme implementation effect supervision sequence is obtained; Process the supervision sequence of program implementation effect, and obtain the first psychological implementation effective value and the second psychological implementation effective value corresponding to all psychological testing and treatment programs implemented by psychologists on different target persons; The first psychological implementation effective value and the second psychological implementation effective value are processed and analyzed to provide targeted evaluation prompts for the corresponding psychological testing service status of the psychologist.

2. The artificial intelligence-based psychological testing and evaluation system according to claim 1, characterized in that: According to the time sequence of psychological testing, the psychological testing results obtained by psychologists from serving different target personnel and the corresponding psychological testing solutions are sorted and combined to obtain a psychological testing implementation table; When the treatment effects of the psychological test treatment plans for different target personnel are retrospectively evaluated and digitally processed according to the psychological test implementation table; Obtaining a number of corresponding follow-up evaluation timestamps according to the psychological detection treatment plan and the diagnosis timestamp corresponding to the target person, and obtaining a local implementation effect of the psychological detection treatment plan corresponding to the target person after implementation according to the number of follow-up evaluation timestamps; When the local implementation effect is digitally processed, the local implementation effect is analyzed by the effect state recognition function and the corresponding local effect identification JXij is output; i is a different psychological detection processing scheme; j is a different follow-up evaluation timestamp of the psychological detection processing scheme; i = {1, 2, 3, ..., n}; n is a positive integer; j = {1, 2, 3, ..., m}; m is a positive integer; The partial effect indicator contains a value of 0, 1, or 2, indicating that the implementation effect of the corresponding stage of the psychological testing treatment plan is effective, partially effective, or ineffective; The local effect identifiers obtained from the psychological testing treatment plans corresponding to the target personnel at different follow-up evaluation timestamps are sorted and combined to obtain the supervision sequence of the implementation effect of the plan corresponding to the target personnel.

3. The artificial intelligence-based psychological testing and evaluation system according to claim 2, characterized in that: The expression of the effect state identification function is: Where Uij is the standard range of local implementation effect corresponding to different follow-up evaluation timestamps of different psychological detection treatment schemes.

4. The artificial intelligence-based psychological testing and evaluation system according to claim 2, characterized in that: When evaluating the psychological detection and processing status of the individual detection and processing dimension for individual target personnel, the program implementation effect supervision sequence corresponding to the individual target personnel is traversed, and the total number of first elements NX1 with a value of 0 and the total number of second elements NX2 with a value of 1 are counted respectively. The total number of first elements NX1 and the total number of second elements NX2 obtained by counting are calculated by the formula Calculate and obtain the personnel implementation validity GX corresponding to the target personnel; where β is the effect weight coefficient and is greater than one; α is the correction factor and belongs to (0, 1); NZ is the total number of all elements in the supervision sequence of the implementation effect of the individual target personnel corresponding to the program; XB0 is the standard value of the personnel implementation validity corresponding to the psychological testing treatment program for the target personnel; [] is the rounding function.

5. The artificial intelligence-based psychological testing and evaluation system according to claim 4, characterized in that: Analyze the effectiveness of personnel implementation to determine the individual psychological testing and treatment status of the target personnel corresponding to the psychological testing and treatment plan; The individual psychological detection processing status includes the individual psychological detection processing overall effective status, the individual psychological detection processing partial effective status or the individual psychological detection processing invalid status.

6. The artificial intelligence-based psychological testing and evaluation system according to claim 5, characterized in that: When evaluating the psychological detection and processing status of different psychological detection and processing schemes in the detection and processing dimension, obtain all target personnel who implement the same psychological detection and processing scheme and their corresponding individual psychological detection and processing status, and count the total number of abnormal personnel NY corresponding to the invalid status of individual psychological detection and processing, and use the formula Calculate and obtain the implementation validity FX of the corresponding psychological testing treatment plan; where FZ is the total number of people who implement the same psychological testing treatment plan; FB is the standard value of the implementation validity of the psychological testing treatment plan; The program implementation validity with a value of 0 is marked as reliable program implementation validity, and the program implementation validity with a value of 1 is marked as unreliable program implementation validity; The reliable scheme implementation validity or unreliable scheme implementation validity corresponding to all psychological testing and treatment schemes implemented by psychologists on different target persons are ranked and combined to obtain the scheme implementation effect supervision sequence.

7. The artificial intelligence-based psychological testing and evaluation system according to claim 6, characterized in that: By formula Calculate and obtain the first psychological implementation effective value XY corresponding to all psychological testing and treatment plans implemented by psychologists on different target personnel; where NK is the total number of reliable plan implementation validity in the plan implementation effect supervision sequence; NQ is the total number of reliable plan implementation validity and unreliable plan implementation validity in the plan implementation effect supervision sequence; A is the standard psychological implementation effective value.

8. The artificial intelligence-based psychological testing and evaluation system according to claim 7, characterized in that: By formula Calculate and obtain the second psychological implementation effective value XE corresponding to all psychological detection and treatment schemes implemented by psychologists for different target persons; where η and μ are the calculation weight coefficients of different data items, and 0<μ<η; YZ is the total number of people corresponding to the overall effective state of individual psychological detection and treatment; BZ is the total number of people corresponding to the partial effective state of individual psychological detection and treatment; RN is the total number of all target persons served by psychologists; The first psychological implementation effective value and the second psychological implementation effective value are sorted and combined to obtain the psychological implementation supervision sequence corresponding to the psychologist.

9. The artificial intelligence-based psychological testing and evaluation system according to claim 8, characterized in that: Analyze the psychological supervision sequence to determine the corresponding psychological testing service status of the psychologist and implement targeted assessment prompts; Among them, if all the elements in the psychological implementation supervision sequence are 0, an excellent state of the psychological testing service is generated and a prompt is given; if there are non-zero values ​​in the psychological implementation supervision sequence, a general state of the psychological testing service is generated and a prompt for local optimization of the psychological testing service is given; if all the elements in the psychological implementation supervision sequence are not 0, an unreliable state of the psychological testing service is generated and a prompt for overall optimization of the psychological testing service is given.

10. A psychological testing and evaluation device based on artificial intelligence, comprising at least one processor; and a memory in communication connection with the at least one processor; in, The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute an artificial intelligence-based psychological detection and evaluation system as described in any one of claims 1-9.

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