CN113744841A

CN113744841A - Autism child digital rehabilitation intervention system based on logic tree and multi-level strategy

Info

Publication number: CN113744841A
Application number: CN202111004837.XA
Authority: CN
Inventors: 程建宏; 王碧君; 宋华俐
Original assignee: Beijing Azuaba Technology Co ltd
Current assignee: Beijing Azuaba Technology Co ltd
Priority date: 2021-08-30
Filing date: 2021-08-30
Publication date: 2021-12-03

Abstract

The invention discloses an autism children digital rehabilitation intervention system based on a logic tree and a multi-level strategy, which comprises: the digital rehabilitation cognitive function evaluation system comprises a data acquisition module, a digital rehabilitation cognitive function evaluation module, a digital rehabilitation intervention plan generation module, a digital rehabilitation database module, a digital rehabilitation intervention training module and a digital rehabilitation intervention reporting module. The system fully considers the characteristics of the autistic children and the advantages and weaknesses of the autistic children in different cognitive fields, and provides a multi-level shortest path intervention plan with a logic tree structure for the autistic children. The intervention plan has the characteristics of accuracy, unique design, shortest path and the like, and the digital rehabilitation intervention effect is better. The system carries out intervention training on the autism children in an online mode, the intervention cost is greatly reduced, the system is beneficial supplement for offline intervention of the autism children under the guidance of professional physiotherapists, and a large amount of intervention cost can be saved.

Description

Autism child digital rehabilitation intervention system based on logic tree and multi-level strategy

Technical Field

The invention relates to the technical field of autism children treatment, in particular to an autism children digital rehabilitation intervention system based on a logic tree and a multi-level strategy.

Background

The information in this background section is disclosed to enhance understanding of the general background of the invention and is not necessarily to be construed as an admission or any form of suggestion that this information forms part of the prior art already known to a person of ordinary skill in the art.

Autism Spectrum Disorder (ASD), an Autism Spectrum Disorder, is a Disorder of brain development that presents a barrier to cognitive communication and prevents them from merging into normal social life. Autism has been a mental disorder with a "low prevalence" for the last century, however, since 2000, the data from the centers for the prevention and treatment of disease (CDC) in the united states showed a continuing steady and dramatic trend towards increased incidence of autism. From 1:150 in 2000, all the way up to 1:54 in 2016, this means that about 180 million children in the united states alone suffer from autism. However, a scientific research document in 2020 shows that the incidence of autism in China is about 1% of that in the current nine-zero ages, namely about 240 ten thousand of Chinese children suffer from autism, and the increase of the value has a direct relationship with the improvement of social economy and the improvement of the sensitivity and attention of people to autism. However, this number and the speed of rise far exceed the limit of the load of the rehabilitation talents in China at present. In the rehabilitation intervention of autism children, about fifty thousand people exist in the united states (application behavior analysts/secondary analysts), but only about six hundred people are expected in china before the year. Furthermore, childhood autism rehabilitation is not short-term, the most common early intensive interventions in traditional interventions, in units of 25 to 40 hours a week, during which the cost of manpower spent is very alarming, and data in 2014 shows that the cost of minor autism rehabilitation interventions in the united states is 610 to 660 billion dollars. Just because off-line professional physiotherapy is expensive, professional personnel are lacked, and some intervention environments are relatively abstract, therefore, with the development of artificial intelligence technology, more and more scientific research teams begin to research the digital rehabilitation method, system and device for autism children based on artificial intelligence technology, and the current dilemma is expected to be solved.

To date, there are some digital recovery methods, systems and devices for autism children based on artificial intelligence technology, for example, "an autism cognitive education enhanced intelligent assessment recovery training system" disclosed in chinese patent application No. 201810805539.2, "an intelligent teaching system facing autism spectrum disorder children" disclosed in chinese patent application No. 201510788498.7, "an execution function evaluation and training system facing autism spectrum disorder children" disclosed in chinese patent application No. 201510788844.1, and so on. However, these techniques require the wearable device or sensor device to be carried by the child, which makes the autistic child feel nervous and unable to perform rehabilitation training intervention in a natural and relaxed environment.

In order to avoid the defects of the technologies of the above patent documents, some researchers have developed methods and systems that do not require any wearable device or sensor device, for example, "an autism intervention teaching course automatic tracking method and system" disclosed in chinese patent document with application number 202010246257.0, "a teaching method and teaching system for autism children" disclosed in chinese patent document with application number 201610829013.9, "an intelligent learning platform for autism children" disclosed in chinese patent document with application number 201310093087.7, and so on. The method and the system perform intervention training on the autism children in the form of games or courses, but in the processes of generating and updating the digital rehabilitation intervention plan and performing the intervention training, the characteristics of the autism children are not fully considered, so that a multi-level shortest path intervention plan with a logic tree structure is constructed for the autism children, the intervention plan has the characteristics of accuracy, unique design, shortest path and the like, and the digital rehabilitation intervention effect is poor.

Disclosure of Invention

Aiming at the problems in the prior art, the invention provides a digital recovery intervention system for autism children based on a logic tree and a multi-level strategy. The system fully considers the characteristics of the autistic children and provides a multi-level shortest path intervention plan with a logic tree structure for the autistic children. The intervention plan has the characteristics of accuracy, unique design, shortest path and the like, and the digital rehabilitation intervention effect is better. Meanwhile, the system carries out intervention training on the autism children in an online mode, the intervention cost is greatly reduced, the system is beneficial supplement for carrying out offline intervention on the autism children under the guidance of a professional physiotherapist, and a large amount of intervention cost can be saved. In order to realize the purpose, the invention is realized according to the following technical scheme:

an autism children digital rehabilitation intervention system based on a logic tree and multi-level strategy, comprising:

a data acquisition module: the system is used for collecting and storing personal information, illness state report information or survey report information of the autism children.

The digital rehabilitation cognitive function evaluation module: the data acquisition module is used for acquiring disease report information or survey report information of the autism child in different fields, and storing the superiority and weakness of the autism child in different fields to provide reference for the generation of a subsequent intervention plan.

The digital rehabilitation intervention plan generation module: according to the experience of off-line professional rehabilitation therapists, a logic tree theory and multi-level strategies, and the cognitive function evaluation result given by the evaluation module, a multi-level shortest path intervention plan with a logic tree structure is provided for the autistic children.

And the digital rehabilitation database module records the process and the result of the autism child during the intervention training through the to-be-learned database, the learned database and the generalization database, and updates the databases in real time according to the intervention training result.

The digital rehabilitation intervention training module: and performing digital rehabilitation intervention training on the autism children according to the multi-level shortest path intervention plan with a logic tree structure, and adjusting the digital rehabilitation intervention plan in real time according to the intervention training result and the cognitive rules of the autism children, so that the autism children can perform learning, training and rehabilitation which are more in line with the cognitive process.

The digital rehabilitation intervention reporting module: the method is used for summarizing the change conditions of different capability fields and the corresponding intervention training conditions of the autism children in the digital rehabilitation process under certain digital rehabilitation intervention plans, and provides important reference for subsequently making the digital rehabilitation intervention plans of the autism children.

In the above technical solution, the data acquisition module includes: a child personal information acquisition unit, a child illness state report or survey report information acquisition unit.

Further, the child personal information acquisition unit is used for acquiring personal information of the autism child, such as name, gender, gestational period, nationality, age, head portrait, voice, parent name, nationality, education level, relation with the child, mobile phone number, family address and the like, wherein the parent mobile phone number and the autism child name are used as unique identifiers of the child.

Further, the child illness state report or investigation report information acquisition unit is used for acquiring medical record information of the autism child or a specific autism investigation report. Preferably, the information can be automatically identified by uploading an electronic file or a scanning piece and by a text identification technology, and the corresponding information is saved, so that the trouble that parents repeatedly fill in or input the information is avoided.

Preferably, the data acquisition module further comprises an information security contract signing unit, and the information security contract signing unit is used for enabling parents of autism children to safely and confidently fill in real information related to autism children and ensuring the safety and confidentiality of the information.

In the above technical solution, the digital rehabilitation cognitive function assessment module is for assessing cognitive functions of autistic children, and is divided into 6 technical fields: cognitive competency, academic competency, social rules, social skills, life skills. In consideration of the particularity of the autistic children, the autistic children often cannot play a digital rehabilitation game for a long time, therefore, in the initial stage of evaluation, an initial evaluation item is pushed through the basic information of the children, only the cognitive ability and the academic ability are evaluated, but not all skill fields, and in the evaluation process, the cognitive ability and the academic ability are alternately evaluated until the cognitive ability and the academic ability can be accurately evaluated. Therefore, the ability baseline of the autism child can be quickly and accurately established according to the cognitive ability and the academic ability of the autism child, and a rehabilitation intervention plan is generated for the autism child without evaluating all 6 technical fields.

In a preferred technical scheme, if the child lacks disease report information or survey report information, the digital rehabilitation cognitive function evaluation module selects a game matched with the child from the database according to the age of the child to carry out pushing, similarly, the cognitive ability and the academic ability in the game process are further evaluated, game pushing is carried out according to the evaluation result by adopting the pushing logic of generalized thinking, and the like until the cognitive ability and the academic ability can be accurately evaluated, so that the corresponding ability baseline is determined.

In a preferred technical scheme, in the cognitive ability field, in order to perform fine evaluation and intervention on the cognitive ability, the cognitive ability is further divided into vocabulary area discrimination ability and sensory perception response ability, and both the two abilities are performed by subsequent evaluation and intervention.

In the technical scheme, the digital rehabilitation intervention plan generating module provides a multi-level shortest path intervention plan with a logic tree structure for autistic children according to experience of off-line professional rehabilitation therapists, logic tree theory and multi-level strategies and combined with cognitive function evaluation results.

In a preferred technical scheme, according to experience of off-line professional rehabilitation therapists and a logic tree theory, a digital rehabilitation intervention plan is analyzed and designed according to tree-shaped graphs, wherein the specific tree-shaped graphs are respectively as follows: skill area, intervention plan, digital rehabilitation games, and intervention goals, wherein:

the skill areas include vocabulary region recognition, sensory response, academic ability, social rules, social skills, life skills, and life skills.

The intervention plan is composed of different IEPs, the IEPs are divided into different orders according to the difference of the capacities of the autism children, and the lower the IEP order is, the more the capacity corresponding to the child needs to be further improved, so that each autism child corresponds to the IEP with different orders, and the generated intervention plan is more targeted and personalized.

In a preferred technical scheme, in order to carry out fine intervention training on different skill fields, the individual cognitive function difference of the autism children is considered. Besides dividing the IEP into different orders, the IEP with the same order is further prioritized according to a multi-level strategy and a normal child development milestone sequence.

The digital rehabilitation game is characterized in that the process of rehabilitation intervention of an autism child by a professional physiotherapist is digitalized, networked and playized, the whole process is standardized, and the implementation mode is more vivid and attractive.

In a preferred technical scheme, in the digital rehabilitation game, different checkpoints are set according to the number of the cognitive targets of the autism children, so that a multi-level shortest-circuit stiffness intervention plan with a logic tree structure can be provided for the autism children. The intervention plan fully considers the characteristics of the autistic children, has the characteristics of accurate and unique design, shortest path and the like, and has better digital rehabilitation intervention effect.

The intervention targets are to target or visualize knowledge points to be mastered according to the characteristics of different skill fields, and the targets are the most important components of the digital rehabilitation game.

Among the above-mentioned technical scheme, digital rehabilitation database module is used for letting autism children can carry out the study, training and the rehabilitation that more accord with cognitive process to and be convenient for record autism children process and result when intervening the training, for this reason, designed and treated study storehouse, learned storehouse and generalized storehouse, wherein: all objects which are not learned are placed in a library to be learned, and the number of the objects in the library is more than or equal to the number of the objects which need to be learned finally. If the learned checkpoint has been passed, but the objects have not been generalized, then the objects are saved in a learned library. If the generalization checkpoint has been passed, then these targets are saved in the generalization library; targets in the generalized library are consolidated and trained through maintenance type and intensive type games, so that the targets are learned to be new, the autistic children can quickly learn the corresponding targets, the targets are not easy to forget, and the cognitive process of the children is more met. In addition, the databases are updated in real time according to the result of the intervention training.

In the above technical solution, the digital rehabilitation intervention training module includes a digital rehabilitation system operation instruction unit, a digital rehabilitation IEP pushing unit and a digital rehabilitation intervention training unit, wherein:

the digital rehabilitation system operation instruction unit is mainly used for showing how to operate the digital rehabilitation system to autistic children and parents thereof, how to operate different modules and different units in sequence, and guiding the digital rehabilitation system according to the digital rehabilitation intervention training process, but not recording the corresponding intervention training process.

The digital rehabilitation IEP pushing unit is used for positioning the IEP target pushed in the next day according to the cognitive function evaluation result of digital rehabilitation and the corresponding digital rehabilitation intervention plan generation result, and the digital rehabilitation plan has different durations for different age groups.

Preferably, the IEP push contains the following rules: 1) ensuring that a certain number and order of IEP are in study every day. 2) If the IEPs in the three fields of vocabulary area discrimination, perceptual response and academic ability exist in the digital rehabilitation intervention plan, the IEP of a certain order is preferentially selected from each field for recommendation, then a certain number of IEPs corresponding to the order are randomly pushed in the four fields of social rules, social skills, life skills and life skills, and only after the IEP of the current order in the current field passes a certain level (a certain number of targets are learned), the fields can be replaced for random pushing in the next pushing; particularly, if the IEP of a certain order in a certain field in the three fields of vocabulary region discrimination, perceptual response and academic competence is completely learned, a certain number of IEPs of corresponding orders are randomly pushed from other four fields. 3) It is necessary that the current order IEP is all passed before the next order IEP is pushed. 4) In the same field and the same order, after the IEP with the previous priority is learned, the IEP with the next priority can be pushed, and the IEP with the priority of 0 must be pushed without occupying space. 5) The digital rehabilitation game is divided into the following steps in all cognitive function intervention training processes: the learning games, the generalization games, the maturity games and the maintenance games are four broad categories, each IEP first plays the learning games, these objectives are saved in the learning library after all the level cards in the learning games pass, at the same time, they all appear in the generalization games, further, after all the level cards pass, they are saved in the generalization library, and they also appear in the maturity games and the maintenance games, otherwise the corresponding game of the IEP will be pushed repeatedly.

The digital rehabilitation intervention training unit is used for carrying out rehabilitation intervention training according to the pushing project of the digital rehabilitation IEP pushing unit, and adjusting a digital rehabilitation intervention plan in real time according to the intervention training result and the cognitive rules of the autistic children, so that the autistic children can carry out learning, training and rehabilitation which are more in line with the cognitive process.

Preferably, during rehabilitation intervention training, the following rules need to be followed: 1) when each field IEP intervention plan is executed, a plurality of different game scenes are displayed for the autistic children to select, and the game scenes are adopted in subsequent intervention training. 2) According to a certain number and a certain order of recommended daily IEP intervention plans, firstly, each IEP conducts a learned game, each game has a corresponding level number, a learned target number and a single target learned round number, after all targets of the IEP are learned at a specified time and a certain round number, the targets are stored in a learned library and enter a corresponding generalized game, when IEP pushing is conducted on the second day, the corresponding generalized game is started, otherwise the targets are still in the learned game, when IEP pushing is conducted on the second day, the corresponding learned game is still started, and by analogy, when all the targets pass through the generalized game, the targets are stored in a generalized library and enter a refined game and a maintenance game respectively. 3) When learned targets exist in the generalization library, when the IEP is pushed every time, the sophisticated game and the maintenance game need to be pushed every time, so that the autistic children can recall the memory, but the learning time is regulated every day, a certain proportion of time is distributed to the maintenance and sophisticated items, the fact that the autistic children learn the contents can be reviewed at a proper time, the rest time is distributed to the learned games and the generalization game items of the IEP, and the autistic children are guaranteed to have sufficient time to carry out intensive round training. 4) When time is allocated in the learned game and the generalized game, more time is allocated to the capacity fields which have more intervention projects and need to be trained according to the number of IEPs required to be learned by the children with the autism in each capacity field at the current stage and the number already learned; when the IEP pushed on the same day is subjected to time distribution, the factors of a target required to be learned by the current IEP, the number of checkpoints, the time consumption of a game form and the learning speed of autistic children are considered, and more time is distributed to the IEP with more targets, more difficulty, more number of checkpoints, longer time consumption of the game form and lower learning speed of the autistic children; when the learning type game and the generalization type game time are distributed in the same IEP, the target number of current checkpoints needing to be learned, the time consumption of the game form and the learning speed of the autism children are considered, and more time is distributed for checkpoints with more targets, more difficulty, longer time consumption of the game form and slower learning speed of the autism children; time distribution in the game is maintained, factors such as learning speed of autism children and the minimum number of rounds required by current IEP in review are considered, more time needs to be mastered when the autism children learn, and more time is distributed to the IEP which needs more review rounds; if an IEP has a fixed allocation time, subtracting the allocation time; 5) learning time is automatically allocated to each domain according to the number of IEPs that have not been learned for each domain corresponding order and the priority of each domain, while it is necessary to ensure that each IEP has a minimum learning and generalization time allocated daily. 6) When the IEP with a certain order and a certain priority does not pass a certain round of continuous learning, dynamically adjusting the priority of the IEP, and putting the IEP back to the IEP library, wherein the priorities of other IEPs are continued by one bit; when the IEP is placed back to the IEP library once, the IEP still fails to pass the second occurrence, the order of the IEP is dynamically adjusted, the priority is adjusted to be the highest, the IEPs and other fields IEPs of the next order are pushed together, and meanwhile, the IEPs occupy the place in the sequence of the current field; the IEP is returned to the IEP library twice, and the third occurrence, which still fails, is placed in the end of all IEP libraries. 7) The children are forced to have a rest according to the actual age for the vision consideration of the children, and the children can be configured. 8) In addition, in the digital rehabilitation intervention training process, the pass number, the learned target number, the round number learned by a single target and the corresponding time of each corresponding IEP are recorded in real time, the corresponding library to be learned, the learned library and the generalization library are updated in real time, and the intervention plan is updated according to the digital rehabilitation intervention plan and the corresponding intervention training result, so that the autistic children can efficiently learn, train and recover. 9) When some abstract targets are learned, the abstract targets can be described in a video animation or cartoon mode, so that the targets can move, children can know and perceive the abstract targets more intuitively, and the abstract targets are the advantages of online rehabilitation intervention.

In the technical scheme, the digital rehabilitation intervention reporting module is used for recording the change conditions, learned target conditions, time consumption conditions of intervention training, turn numbers of corresponding checkpoints and the like of different cognitive function fields of the autism children in the digital rehabilitation process under certain digital rehabilitation intervention plans, and provides important reference for subsequently updating the digital rehabilitation intervention plans of the autism children.

Compared with the prior art, the invention has the following beneficial effects:

(1) the digital rehabilitation intervention system for the autism children based on the logic tree and the multi-level strategy can provide a multi-level shortest path intervention plan with a logic tree structure for the autism children according to the experience of off-line professional rehabilitation therapists, the logic tree theory and the multi-level strategy and by combining the cognitive function evaluation result, in addition, the system also designs a learning game, a generalization game, a sophisticated game and a maintenance game, carries out consolidation training through different digital rehabilitation games, and is new due to temperature and accident, so that the autism children can quickly learn corresponding targets and are not easy to forget; the intervention plan fully considers the characteristics of the autistic children and the advantages and weaknesses of the autistic children in different cognitive fields, has the characteristics of accurate and unique design, shortest path and the like, and has better digital rehabilitation intervention effect.

(2) The digital rehabilitation intervention system for the autism children based on the logic tree and the multi-level strategy can perform intervention training on the autism children in an online mode, the intervention cost is greatly reduced, the digital rehabilitation intervention system is beneficial for performing offline intervention on the autism children under the guidance of a professional physiotherapist, a large amount of intervention cost can be saved, in addition, the system often displays abstract targets through certain video animation/cartoon images, so that the children can more intuitively recognize certain targets, and the digital rehabilitation intervention system is not characterized by online dry pre-training.

(3) The digital recovery intervention system for the autism children based on the logic tree and the multi-level strategy fully considers the characteristics of the autism children and the advantages and weaknesses of the autism children in different cognition fields, provides a multi-level shortest path intervention plan with a logic tree structure for the autism children, has the characteristics of accurate and unique design, shortest path and the like, is specially customized for each autism child, and updates the corresponding intervention plan in real time according to the intervention training result.

(4) The digital rehabilitation intervention system for the autism children based on the logic tree and the multi-level strategy designs the learning game, the generalization game, the sophisticated game and the maintenance game, and the autism children can learn the corresponding target more quickly through different consolidation exercises and warm events, are not easy to forget and better accord with the cognitive process of the children, so that the digital rehabilitation intervention effect of the whole system is better.

(5) The digital recovery intervention system for the autism children based on the logic tree and the multi-level strategy is used for performing intervention training on the autism children in an online mode, the intervention cost is greatly reduced, the digital recovery intervention system is beneficial to performing offline intervention on the autism children under the guidance of a professional physiotherapist, and a large amount of intervention cost can be saved. Finally, the system only needs one intelligent terminal internet access device, does not need professional wearable devices, and enables the autistic children to naturally perform digital rehabilitation intervention training in familiar environments, so that the intervention effect is greatly improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a schematic diagram of a logic tree and a multi-level policy in an embodiment of the invention.

Fig. 2 is a relational diagram of different databases and digital games in the autism child digital rehabilitation intervention method and system based on the logic tree and the multi-level strategy in the embodiment of the invention.

Fig. 3 is a structural block diagram of an embodiment of the digital recovery intervention method and system for autism children based on a logic tree and a multi-level strategy in the embodiment of the present invention.

Fig. 4 is a flowchart of an experiment performed by the autism children digital rehabilitation intervention method and system based on the logic tree and the multi-level strategy in the embodiment of the invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. The invention is further described below with reference to the accompanying drawings.

Referring to fig. 3, the digital rehabilitation intervention method and system for autism children based on logic tree and multi-level strategy of the present invention includes a data acquisition module 10, a digital rehabilitation cognitive function evaluation module 20, a digital rehabilitation intervention plan generation module 30, a digital rehabilitation database module 40, a digital rehabilitation intervention training module 50, and a digital rehabilitation intervention report module 60, wherein:

the data acquisition module 10 comprises an information security contract signing unit 101, a child personal information acquisition unit 101, and a child illness state report or survey report information acquisition unit 103.

The information confidentiality contract signing unit 101 is used for enabling parents of autism children to safely and confidently fill in real information related to the children and ensuring the safety and confidentiality of the information, and the information is only used for digital rehabilitation intervention training of the autism children.

The child personal information acquisition unit 102 is configured to acquire personal information of the autistic child, such as name, gender, gestational period, ethnicity, age, head portrait, voice, parent name, ethnicity, education level, relation with the child, mobile phone number, home address, and the like, where the parent mobile phone number and the child name are used as unique identifiers of the child; the voice and the head portrait of the child can be added into the subsequent digital rehabilitation intervention training process, so that the participation interest and interest of the child are improved; if the autistic child cannot normally speak or does not want to embed the sound into the intervention training process, the system defaults to use the professional sound and instructions of the self-carried professional physical therapist; the home address is used to determine the professional medical level of the area where the child is located and the follow-up of rehabilitation under follow-up lines.

The child illness state report or investigation report information acquisition unit 103 is used for acquiring medical record information of autism children or a specific autism investigation report, and the information can be automatically identified by uploading an electronic file or a scanning piece and by a text identification technology and storing corresponding information, so that the trouble of repeated filling or inputting by parents is avoided; when the child does not have any illness state information, the age is used as the basis for cognitive function assessment, a corresponding cognitive function assessment game is randomly generated through the age, and further the cognitive function of the child is further assessed through the game playing process of the child; the character recognition technology is specifically as follows: https:// ai.baidu.com/ai-doc/OCR/Ek3h7 xypm.

The digital rehabilitation cognitive function evaluation module 20 is used for evaluating the cognitive functions of the autistic children, and for this purpose, the cognitive functions are divided into 6 skill fields including cognitive ability, academic ability, social rules, social skills, life skills and life skills. Research shows that the cognitive ability of children can be well reflected by the word area discrimination ability and the sensory perception reaction ability, so that the cognitive ability is subjected to intervention training and evaluation through the word area discrimination ability and the sensory perception reaction ability in subsequent digital rehabilitation intervention training and evaluation. In consideration of the particularity of the autistic children, the autistic children often cannot play a digital rehabilitation game for a long time, therefore, in the initial stage of evaluation, an initial evaluation item is pushed through the basic information of the children, only the cognitive ability and the academic ability are evaluated, but not all skill fields, and in the evaluation process, the cognitive ability and the academic ability are alternately evaluated until the cognitive ability and the academic ability can be accurately evaluated. Therefore, the ability baseline of the autism children in the corresponding field can be quickly and accurately established according to the vocabulary area discrimination ability, the sensory-perceptual reaction ability and the academic ability of the autism children, other fields can refer to the baseline, and a rehabilitation intervention plan is generated for the children without evaluating all 6 skill fields. In addition, if the child lacks disease report information or survey report information, selecting a game matched with the child from the database according to the age of the child for pushing, similarly, further evaluating the vocabulary region discrimination, the sensory perception reaction capability and the academic capability in the game process, pushing the game by using generalized thinking pushing logic according to the evaluation result, and repeating the steps until the vocabulary region discrimination, the sensory perception reaction capability and the academic capability can be accurately evaluated, so as to determine a corresponding capability baseline; wherein, the evaluation models in different fields are shown as follows: goldberg Y, Levy o. word2vec exposed, deriving Mikolov et al's negative-sampling word-embedding method [ J ]. arXiv, 2014; or http// colah. githu. io/posts/2015-08-Understanding-LSTMs/.

In particular, during the digital rehabilitation assessment game, the operation of assessing the subjects is simple and basic, such as identification, dragging, causal sequencing and the like, and since the autistic children just start to contact, parents can help the autistic children to complete the corresponding assessment game without influencing the criterion of accurate assessment; furthermore, the evaluation model must be able to adapt to later iterations, up to the level of normal children.

The digital rehabilitation intervention plan generating module 30 provides a multi-level shortest path intervention plan with a logic tree structure for autistic children according to experience of off-line professional rehabilitation therapists, logic tree theory and multi-level strategies and by combining cognitive function evaluation results. As shown in fig. 1, according to experience and logic tree theory of off-line professional rehabilitation therapists, the digital rehabilitation intervention plan is analyzed and designed according to a tree graph, and the specific levels of the tree graph are respectively: skill area, intervention plan, digital rehabilitation games, and intervention goals, wherein:

The intervention plan is composed of different Individual Education Plans (IEPs) and different IEPs are generated for different skill areas; considering that the abilities of children with different autism are different, the IEP is further divided into different orders, and the lower the order of the IEP is, the more the corresponding ability of the child needs to be further improved, so that each autism child corresponds to the IEP with different skill fields and different orders, and the generated digital rehabilitation intervention plan is more targeted and personalized.

The digital rehabilitation game is characterized in that the process of rehabilitation intervention of an autism child by a professional physiotherapist is digitalized, networked and gamified offline, a plurality of abstract targets which cannot be fully described online are fully depicted, the whole process is standardized, and the implementation mode is more vivid and attractive.

The intervention target is to target or visualize knowledge points to be mastered according to the characteristics of different skill fields, and the targets are the most important components of the digital rehabilitation game; in order to carry out fine intervention training on different skill fields, and simultaneously, considering the individual cognitive function difference of the autism children, the IEPs with the same order number are further divided according to a certain number of priorities in addition to the division of different orders on the IEPs, according to a multi-level strategy, the respective characteristics of the autism children and the advantages and disadvantages of the skill fields, so that the IEPs are more targeted and unique, and the IEPs with the same order number are further prioritized according to the normal child development milestones, so that a multi-level shortest path intervention plan with a logic tree structure can be provided for the autism children. The intervention plan fully considers the characteristics of the autistic children and the knowledge field thereof, has the characteristics of accurate and unique design, shortest path and the like, and has better digital rehabilitation intervention effect.

The digital rehabilitation database module 40 is used for enabling the autism children to carry out learning, training and rehabilitation which are more in line with the cognitive process, and conveniently recording the process and the result of the autism children during the intervention training, and designs a library to be learned, a learned library and a generalization library, wherein all objects which are not learned are placed in the library to be learned, and the number of the objects in the library is more than or equal to the number of the objects which are needed to be learned finally; if the objectives have passed the acquisition checkpoint but are not generalized, the objectives are saved in an acquisition repository; if the generalization checkpoint has been passed, then these targets are saved in the generalization library; through different consolidation training and temperature event learning, the autistic children can quickly learn the corresponding target, are not easy to forget, and better accord with the cognitive process of the children; the relationship of the different databases and the digital rehabilitation game is shown in fig. 2.

The digital rehabilitation intervention training module 50 includes a digital rehabilitation system operation instruction unit, a digital rehabilitation IEP pushing unit and a digital rehabilitation intervention training unit, wherein:

the digital rehabilitation system operation instruction unit 501 mainly shows how to operate the digital rehabilitation system to autistic children and parents thereof, how to operate different modules and different units in sequence, and guides the digital rehabilitation system according to the digital rehabilitation intervention training process, but does not record the corresponding intervention training process; specifically, firstly, parents upload corresponding personal information, secondly, click on the digital rehabilitation cognitive function evaluation module, the module can automatically evaluate the cognitive function of the autistic children according to the uploaded illness state report information of the autistic children, quickly determine the capability baseline of the autistic children, click the digital rehabilitation intervention plan generation module again, the module can automatically and accurately generate a corresponding digital rehabilitation intervention plan according to the cognitive function evaluation result, then click the digital rehabilitation intervention training module, the module can perform online intervention training on the autism children according to a digital rehabilitation game generated by a digital rehabilitation intervention plan, and finally, click the digital rehabilitation intervention report generation module, the module automatically generates a corresponding digital rehabilitation intervention report according to the digital rehabilitation cognitive function evaluation result and the digital rehabilitation intervention training process.

The digital rehabilitation IEP pushing unit 502 first locates the IEP entry pushed the next day according to the cognitive function assessment result of digital rehabilitation and the corresponding digital rehabilitation intervention plan generation result, and the duration of the digital rehabilitation plan is different for different age groups, for example, generally, a child aged 2-6 is allocated 45 minutes, a child aged 6-12 is allocated 90 minutes, and the IEP pushing includes the following rules:

1) at least three IEP with certain orders are ensured to be studied every day.

2) If the IEP in the three fields of vocabulary area discrimination, perceptual response and academic ability exists in the digital rehabilitation intervention plan, the IEP in a certain order is preferentially selected from each field for recommendation, then an IEP in a corresponding order is randomly pushed in the four fields of social rules, social skills, life skills and life skills, and only after the IEP in the current field at least passes a certain level (the goal of learning a movement number), the field can be changed for random pushing in the next pushing; particularly, if the IEP of a certain order in a certain field in the three fields of vocabulary area discrimination, sensory perception reaction and academic competence is completely learned, the IEP of two corresponding orders are randomly pushed from other four fields; if all domains have less than 3 IEP numbers, there are several pushes.

3) The current order IEP must be passed through all the time to push the next order IEP, for example, the second order vocabulary region identification has passed, but the second order IEP in other fields still has not been learned, and there is no vocabulary region identification to push at this time.

4) In the same field and the same order, after the IEP with the previous priority is learned, the IEP with the next priority can be pushed, and the IEP with the priority of 0 must be pushed without occupying space.

5) The digital rehabilitation game is divided into the following steps in all cognitive function intervention training processes: the learning games, the generalization games, the maturity games and the maintenance games, wherein each IEP firstly carries out the learning games, when all the level cards in the learning games pass, the targets are stored in the learning library, and at the same time, the targets are all appeared in the generalization games, further, when all the level cards pass, the targets are stored in the generalization library, and the targets are also all appeared in the maturity games and the maintenance games, otherwise, the corresponding games of the IEP are repeatedly pushed;

the digital rehabilitation intervention training unit 503 performs rehabilitation intervention training according to the pushing project of the digital rehabilitation IEP pushing unit, and adjusts the digital rehabilitation intervention plan in real time according to the intervention training result and the cognitive rules of the autistic children, so that the autistic children can perform learning, training and rehabilitation which more conform to the cognitive process; as shown in fig. 4, during the rehabilitation intervention training, the following rules need to be followed:

1) when each field IEP intervention plan is executed, a plurality of different game scenes are displayed for the autistic children to select, and the game scenes are adopted in subsequent intervention training.

2) Recommending an IEP intervention plan with at least three certain orders every day, according to the plan, firstly, conducting a learning game by each IEP, wherein each game has a corresponding number of stages, a number of learned targets and a number of rounds learned by a single target, when all targets of the IEP are learned at a specified time and a certain number of rounds, the targets are stored in a learning library and enter into a corresponding generalization game, when carrying out IEP pushing on the next day, the corresponding generalization game is started, otherwise, the targets are still in the learning game, when carrying out IEP pushing on the next day, the corresponding learning game is still started, and analogizing in turn, when all the targets pass through the generalization game, the targets are stored in the generalization library and enter into a maturity game and a maintenance game respectively.

3) Each time the IEP is pushed when there are learned targets in the generalized library, it is necessary to push a sophisticated game and a maintenance game each time so that the child can recall the memory, but according to the daily prescribed learning time, up to 30% of the time is allocated to the maintenance and sophisticated items to ensure that the content that the child has learned is reviewed at the right time, and the other 70% of the time is allocated to the learned games and generalized game items of the IEP to ensure that the child has sufficient time to perform intensive turn training.

4) When time is allocated in the learning type and generalization type games, more time is allocated for the ability fields with more intervention items to be trained by considering the number of IEPs to be learned by children in each ability field at the current stage and the number of learners; for several IEPs pushed on the same day, in time distribution, the factors of the target required to be learned by the current IEP, the number of the level, the time consumption of the game form and the learning speed of the child are considered, and more time is distributed for the IEPs with more targets, more difficulty, more level, longer time consumption of the game form and slower learning speed of the child; when the time of the learned game and the generalized game is distributed in the same IEP, the target number of current level to be learned, the time consumption of the game form and the learning speed of children are considered, and more time is distributed for the level with more targets, more difficulty, longer time consumption of the game form and slower learning speed of the children; the time distribution in the game is maintained, factors such as the learning speed of children and the minimum number of rounds required by the current IEP in review are considered, more time is needed to be mastered when the children learn, and more time is distributed to the IEP which needs more review rounds; if an IEP has a fixed allocation time, the allocation time is subtracted.

5) According to the number of IEPs which are not yet learned in the corresponding order of each field and the priority of each field, firstly, learning time is automatically allocated to each field, secondly, 50% of the corresponding field time is allocated to the IEP with the highest priority in the corresponding order, and other times are allocated to the IEPs with other priorities, but it is necessary to ensure that the learning and generalization time allocated to each IEP is not less than 3 minutes.

6) When the IEP with a certain order and a certain priority does not pass through a certain round of continuous learning, the priority of the IEP is increased by 2 and is put back to the IEP library, and the priorities of other IEPs are continued by one bit; when the IEP is placed back to the IEP library once, the IEP still fails to pass the second occurrence, the order of the IEP is increased by 0.5, the priority is set to be 1, the IEPs and other fields of the next order are pushed together, and meanwhile, the IEP occupies the position in the sequence of the current field; after the IEP is put back to the IEP library twice, the IEP still fails in the third occurrence and is put into all IEP libraries finally; .

7) The children are forced to have a rest according to the actual age for the vision consideration of the children; generally, children of 2-6 years old are allowed 15 minutes of operation time at a time, and are forced to rest for 15 minutes in the middle; children of 6-12 years old are allowed up to 30 minutes of operation time each time, and are forced to rest for 10 minutes in the middle.

8) In addition, in the digital rehabilitation intervention training process, the pass number, the learned target number, the round number learned by a single target and the corresponding time of each corresponding IEP are recorded in real time, the corresponding library to be learned, the learned library and the generalization library are updated in real time, and the intervention plan is updated according to the digital rehabilitation intervention plan and the corresponding intervention training result, so that the autistic children can efficiently learn, train and recover.

9) When some abstract targets are learned, the abstract targets can be described in the form of video animation or cartoon, so that the targets can move, and children can know and recognize the abstract targets more intuitively.

The digital rehabilitation intervention reporting module 60 is used for recording the change conditions, learned target conditions, time consumption conditions of intervention training, turn numbers of corresponding checkpoints and the like of different cognitive function fields of the autism children in the digital rehabilitation process under certain digital rehabilitation intervention plans, and provides important reference for subsequently updating the digital rehabilitation intervention plans of the autism children.

It can be seen that the autism child cognitive ability assessment intervention system based on the layer-by-layer generalization push logic provides a multi-level shortest path intervention plan with a logic tree structure for autism children by combining cognitive function assessment results according to experiences of off-line professional rehabilitation therapists, logic tree theories and multi-level strategies, and in addition, the system also designs a learning game, a generalization game, a sophisticated game and a maintenance game, and the learning and maintenance game is realized through different consolidation training, so that the autism children can learn corresponding targets more quickly and are not easy to forget; the intervention plan fully considers the characteristics of the autistic children and the advantages and weaknesses of the autistic children in different cognitive fields, has the characteristics of accurate and unique design, shortest path and the like, and has better digital rehabilitation intervention effect;

meanwhile, the autism child cognitive ability assessment intervention method and system based on layer-by-layer generalization push logic are characterized in that the system carries out intervention training on autism children in a line-on-line mode, intervention cost is greatly reduced, the method and system is beneficial supplement for carrying out offline intervention on the autism children under the guidance of a professional physiotherapist, and a large amount of intervention cost can be saved.

While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An autism children digital rehabilitation intervention system based on a logic tree and multi-level strategy, wherein the intervention system comprises:

a data acquisition module: the system is used for collecting and storing personal information, illness state report information or survey report information of the autism children;

the digital rehabilitation cognitive function evaluation module: the system is used for evaluating the cognitive functions of the autism children in different fields according to the illness state report information or the survey report information acquired by the data acquisition module, storing the superiority and weakness of the autism children in different fields and providing a reference for the generation of a subsequent intervention plan;

the digital rehabilitation intervention plan generation module: providing a multi-level shortest path intervention plan with a logic tree structure for the autistic children according to the experience of off-line professional rehabilitation therapists, a logic tree theory and a multi-level strategy and by combining a cognitive function evaluation result given by an evaluation module;

the digital rehabilitation database module records the process and the result of the autism child during the intervention training through the to-be-learned database, the learned database and the generalization database, and updates the databases in real time according to the intervention training result;

the digital rehabilitation intervention training module: according to the multi-level shortest path intervention plan with a logic tree structure, performing digital rehabilitation intervention training on the autism children, and adjusting the digital rehabilitation intervention plan in real time according to the intervention training result and the cognitive rules of the autism children, so that the autism children can perform learning, training and rehabilitation which are more in line with the cognitive process;

the digital rehabilitation intervention reporting module: the method is used for summarizing the change conditions of different capability fields and the corresponding intervention training conditions of the autism children under certain digital rehabilitation intervention plans in the digital rehabilitation process, and provides reference for subsequently making the digital rehabilitation intervention plans of the autism children.

2. The logic tree and multi-level strategy based autism children digital rehabilitation intervention system of claim 1, wherein the data collection module comprises: a child personal information acquisition unit and a child illness state report or investigation report information acquisition unit;

preferably, the child personal information acquisition unit is configured to acquire the following personal information: the name, sex, gestational week, ethnicity, age, head portrait, voice, parent name, ethnicity, education level, relation with children, mobile phone number, family address of the autistic child, wherein the parent mobile phone number and the name of the autistic child are used as the unique identification of the child;

preferably, the child illness state report or investigation report information acquisition unit is used for acquiring medical record information of an autism child or a specific autism investigation report; more preferably, the information can be automatically identified by uploading an electronic version file or a scanning piece and by a text identification technology, and corresponding information is stored;

3. The logic tree and multi-level strategy based autism children digital rehabilitation intervention system according to claim 1, wherein the digital rehabilitation cognitive function assessment module is used for assessing cognitive functions of autism children and dividing the cognitive functions into 6 technical fields: cognitive competence, academic competence, social rules, social skills, life skills;

preferably, in the initial stage of evaluation, the digital rehabilitation cognitive function evaluation can push an initial evaluation project through child basic information, and only the cognitive ability and the academic ability are evaluated, but not all skill fields are evaluated, in the evaluation process, the cognitive ability and the academic ability are alternately carried out until the cognitive ability and the academic ability can be accurately evaluated, so that the ability baseline of the autism child is established, and a rehabilitation intervention plan is generated for the autism child;

preferably, if the child lacks disease report information or survey report information, the digital rehabilitation cognitive function evaluation module selects a game matched with the child from the database according to the age of the child to push the game, further evaluates the cognitive ability and the academic ability in the game process, pushes the game by adopting the push logic of generalized thinking according to the evaluation result, and so on until the cognitive ability and the academic ability can be accurately evaluated, thereby determining the corresponding ability baseline.

4. The digital rehabilitation intervention system for autism children according to claim 3, wherein the cognitive abilities in the cognitive ability domain are further divided into lexical discrimination ability and sensory response ability for fine evaluation and intervention, and subsequent evaluation and intervention are performed for both abilities.

5. The digital rehabilitation intervention system for autism children based on logic tree and multi-level strategy as claimed in claim 1, wherein the digital rehabilitation intervention plan generating module provides multi-level shortest path intervention plan with logic tree structure for autism children according to experience of off-line professional rehabilitation therapists, logic tree theory and multi-level strategy and combined with cognitive function evaluation result;

preferably, according to experience and logic tree theory of off-line professional rehabilitation therapists, the digital rehabilitation intervention plan analyzes and designs the digital rehabilitation intervention plan according to tree graphs, wherein the tree graphs are respectively: skill area, intervention plan, digital rehabilitation games, and intervention goals, wherein:

the skill field comprises vocabulary region discrimination, sensory-perceptual response, academic ability, social rules, social skills, life skills and life skills;

the intervention plan is composed of different IEPs, the IEPs are divided into different orders according to the difference of the abilities of the autism children, and the lower the order of the IEP is, the more the corresponding ability of the child needs to be further improved; preferably, IEPs of the same order are further prioritized according to a multi-level strategy in order of normal child developmental milestones;

the digital rehabilitation game is characterized in that the process of rehabilitation intervention of an autism child by a professional physiotherapist is digitalized, networked and playized, and the whole process is standardized; preferably, in the digital rehabilitation game, different checkpoints are set according to the number of the cognitive targets of the autism children, so that a multi-level shortest-circuit force intervention plan with a logic tree structure is provided for the autism children;

the intervention target is to target or visualize the knowledge points to be mastered according to the characteristics of different skill fields.

6. The logic tree and multi-level strategy based autism children digital rehabilitation intervention system according to claim 1, wherein the digital rehabilitation database module is used for enabling autism children to perform learning, training and rehabilitation more conforming to cognitive processes and facilitating recording of processes and results of the autism children during interventional training, and comprises a to-be-learned database, a learned database and a generalization database;

preferably, all objects which are not learned are placed in a library to be learned, and the number of the objects in the library is more than or equal to the number of the objects which need to be learned finally; if the targets that have passed the acquisition checkpoint but have not been generalized, then the targets are saved in an acquisition repository; if the generalization checkpoint has been passed, then these targets are saved in the generalization library; generalizing the targets in the library, and performing consolidation training through maintenance type and intensive type games;

preferably, the library to be learned, the learning library and the generalization library can be updated in real time according to the result of the intervention training.

7. The logic tree and multi-level strategy based autism children digital rehabilitation intervention system of claim 1, wherein the digital rehabilitation intervention training module comprises: the digital rehabilitation system comprises a digital rehabilitation system operation instruction unit, a digital rehabilitation IEP pushing unit and a digital rehabilitation intervention training unit;

preferably, the digital rehabilitation system operation instruction unit is used for showing how to operate the digital rehabilitation system to the autistic children and parents thereof, how to operate different modules and different units in sequence, and guiding the digital rehabilitation system according to the digital rehabilitation intervention training process, but not recording the corresponding intervention training process;

preferably, the digital rehabilitation IEP pushing unit is configured to position the IEP target pushed the next day according to the cognitive function assessment result of digital rehabilitation and the corresponding digital rehabilitation intervention plan generation result, and the durations of the digital rehabilitation plans are different for different age groups;

more preferably, the IEP push contains the following rules: 1) ensuring that a certain number of IEPs with a certain order number are studied every day; 2) if the IEPs in the three fields of vocabulary area discrimination, perceptual response and academic ability exist in the digital rehabilitation intervention plan, the IEP of a certain order is preferentially selected from each field for recommendation, then a certain number of IEPs corresponding to the order are randomly pushed in the four fields of social rules, social skills, life skills and life skills, and only after the IEP of the current order in the current field passes a certain level, the field can be replaced for random pushing in the next pushing; if the IEP of a certain order in a certain field in the three fields of vocabulary area discrimination, sensory perception reaction and academic ability is completely learned, pushing a certain number of IEPs of corresponding orders randomly from other four fields; 3) the next-order IEP is pushed only if the current-order IEP passes through all the IEPs; 4) in the same field and the same order, after the IEP with the previous priority is learned, the IEP with the next priority can be pushed, and the IEP with the priority of 0 must be pushed without occupying space; 5) the digital rehabilitation game is divided into the following steps in all cognitive function intervention training processes: the acquisition game, the generalization game, the maturity game and the maintenance game are four broad categories, each IEP first plays the acquisition game, these objectives are saved in the acquisition library when all the level cards in the acquisition game pass, at the same time, they all appear in the generalization game, when all the level cards pass, they are saved in the generalization library, and they also appear in the maturity game and the maintenance game, otherwise the corresponding game of the IEP will be pushed repeatedly.

8. The logic tree and multi-level strategy based digital rehabilitation intervention system for autism children according to claim 7, wherein the digital rehabilitation intervention training unit is configured to perform rehabilitation intervention training according to the pushing project of the digital rehabilitation IEP pushing unit, and adjust the digital rehabilitation intervention plan in real time according to the intervention training result and the cognitive rules of the autism children, so that the autism children can perform learning, training and rehabilitation in better conformity with the cognitive process.

9. The digital autism children rehabilitation intervention system based on logic tree and multi-level strategy of claim 8, wherein the following rules need to be followed during rehabilitation intervention training:

1) when each field IEP intervention plan is executed, a plurality of different game scenes are displayed for the autistic children to select, and the game scenes are adopted for subsequent intervention training;

2) according to a certain number and a certain order of recommended daily IEP intervention plans, firstly, each IEP conducts a learned game, each game has a corresponding level number, a learned target number and a single target learned round number, after all targets of the IEP are learned at a specified time and a certain round number, the targets are stored in a learned library and enter a corresponding generalized game, when IEP pushing is conducted on the second day, the corresponding generalized game is started, otherwise the targets are still in the learned game, when IEP pushing is conducted on the second day, the corresponding learned game is still started, and by analogy, when all the targets pass through the generalized game, the targets are stored in the generalized library and respectively enter a refined game and a maintenance game;

3) when learned targets exist in the generalization library, when the IEP is pushed every time, the sophisticated game and the maintenance game need to be pushed every time, so that the autistic children can recall the memory, but the learning time is regulated every day, a certain proportion of time is distributed to the maintenance and sophisticated items, the fact that the contents of the autistic children which are learned can be reviewed in a proper time is ensured, the rest time is distributed to the learned games and the generalization game items of the IEP, and the autistic children are ensured to have sufficient time to carry out intensive turn training;

4) when time is allocated in the learned game and the generalized game, more time is allocated to the capacity fields which have more intervention projects and need to be trained according to the number of IEPs required to be learned by the children with the autism in each capacity field at the current stage and the number already learned; when the IEP pushed on the same day is subjected to time distribution, the factors of a target required to be learned by the current IEP, the number of checkpoints, the time consumption of a game form and the learning speed of autistic children are considered, and more time is distributed to the IEP with more targets, more difficulty, more number of checkpoints, longer time consumption of the game form and lower learning speed of the autistic children; when the learning type game and the generalization type game time are distributed in the same IEP, the target number of current checkpoints needing to be learned, the time consumption of the game form and the learning speed of the autism children are considered, and more time is distributed for checkpoints with more targets, more difficulty, longer time consumption of the game form and slower learning speed of the autism children; time distribution in the game is maintained, factors such as learning speed of autism children and the minimum number of rounds required by current IEP in review are considered, more time needs to be mastered when the autism children learn, and more time is distributed to the IEP which needs more review rounds; if an IEP has a fixed allocation time, subtracting the allocation time;

5) automatically allocating learning time for each field according to the number of IEPs of which the corresponding order of each field is not yet learned and the priority of each field, and simultaneously ensuring that each IEP has minimum learning and generalization time allocated every day;

6) when the IEP with a certain order and a certain priority does not pass a certain round of continuous learning, dynamically adjusting the priority of the IEP, and putting the IEP back to the IEP library, wherein the priorities of other IEPs are continued by one bit; when the IEP is placed back to the IEP library once, the IEP still fails to pass the second occurrence, the order of the IEP is dynamically adjusted, the priority is adjusted to be the highest, the IEPs and other fields IEPs of the next order are pushed together, and meanwhile, the IEPs occupy the place in the sequence of the current field; after the IEP is put back to the IEP library twice, the IEP still fails in the third occurrence and is put into all IEP libraries finally;

7) the children are forced to have a rest according to the actual age for the vision consideration of the children, and the children can be configured;

8) in addition, in the process of digital rehabilitation intervention training, the pass number, the learned target number, the learned turn number of a single target and the corresponding time of each corresponding IEP are recorded in real time, the corresponding library to be learned, the learned library and the generalization library are updated in real time, and the intervention plan is updated according to the digital rehabilitation intervention plan and the corresponding intervention training result;

9) when learning some abstract objects, they can be described in the form of video animation or cartoon to make the object move.

10. The logic tree and multi-level strategy based autism children digital rehabilitation intervention system according to any one of claims 1-9, wherein the digital rehabilitation intervention reporting module is configured to record the change situation of different cognitive function fields, the learned target situation, the time-consuming situation of intervention training and the number of rounds of corresponding check-in of the autism children during the digital rehabilitation process, so as to provide a reference for subsequently updating the digital rehabilitation intervention plan of the autism children.