Self-adaptive control method of intelligent restraint system and intelligent restraint system

Abstract

The invention relates to the technical field of intelligent control, and discloses a self-adaptive control method of an intelligent constraint system and the intelligent constraint system.The method comprises the steps that for a to-be-monitored target object, after first multi-dimensional information corresponding to the target object is collected, whether the target object meets a self-adaptive constraint triggering condition or not is intelligently judged; if yes, second multi-dimensional information corresponding to the target object is collected, and then based on the collected second multi-dimensional information and the determined to-be-constrained target body part, an intelligent constraint control model which is trained to converge in advance is combined; and generating a target constraint control parameter of the intelligent constraint device currently worn by the target object for the determined target body part so as to control the intelligent constraint device to execute constraint operation on the determined target body part. Therefore, the generation efficiency, reliability and accuracy of the constraint control parameters can be improved, and then the constraint efficiency, the constraint accuracy and the constraint reliability can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control, and particularly relates to an adaptive control method of an intelligent restraint system and the intelligent restraint system. BACKGROUND

[0002] In the process of clinical treatment / rehabilitation, some patients may fall out of bed, be injured, be scratched or pull out the tube by themselves due to unconsciousness, and some patients may be violent, get out of bed, shake or pull out the tube by themselves due to postoperative discomfort, which is not only not conducive to the recovery of the patient's body, but also may cause new harm / injury to the patient's body, and more seriously, even endanger the patient's life. In order to reduce or avoid the occurrence of the foregoing situations, a restraint device such as a restraint belt is usually used to restrain the behavior of the patient in the process of clinical treatment / rehabilitation.

[0003] With the rapid development of intelligent electronic information technology and artificial intelligence, in order to reduce human participation and improve the response speed of restraint, the existing restraint device integrates an intelligent restraint mechanism. However, it is found in practice that the existing intelligent restraint mechanism uses the same set of restraint standards for all monitored objects (i.e. the restrained), such as increasing the restraint strength of the restraint belt when the monitored object appears to struggle, which cannot take a more targeted restraint mechanism according to the actual situation of the monitored object.

[0004] Therefore, it is particularly important to design a more intelligent restraint mechanism to improve the restraint pertinence and restraint accuracy. SUMMARY

[0005] The present application provides an adaptive control method of an intelligent restraint system and the intelligent restraint system, which can adaptively control the restraint according to the actual situation of the monitored object, and improve the restraint pertinence and restraint accuracy.

[0006] The first aspect of the present application discloses an adaptive control method of an intelligent restraint system, which comprises: For any target object to be monitored, the first multi-dimensional information corresponding to the target object is collected, and the first multi-dimensional information at least includes the current physiological state parameter of the target object, the current state parameter of the key body part of the target object and the current state parameter of the associated body part of the key body part; determine whether the target object currently satisfies the adaptive constraint triggering condition based on target state information corresponding to the target object, and if it is determined that the target object currently satisfies the adaptive constraint triggering condition, collect second multi-dimension information corresponding to the target object; wherein the target state information at least includes part or all of state parameters in the first multi-dimension information; and the second multi-dimension information at least includes a triggering condition of the target object wearing a smart constraint device, a current scene in which the target object is located, and multi-dimension movement parameters corresponding to the key body part; generate target constraint control parameters of the smart constraint device worn by the target object for the target body part based on the second multi-dimension information and the determined target body part to be constrained, and in combination with a smart constraint control model that is pre-trained to convergence; control the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameters.

[0007] As an optional implementation, in the first aspect of the present application, the method further comprises: determine a first influence proportion of the key body part on the target object currently satisfying the adaptive constraint triggering condition and a second influence proportion of the associated body part on the target object currently satisfying the adaptive constraint triggering condition based on current state parameters of the key body part and current state parameters of the associated body part when it is determined that the target object currently satisfies the adaptive constraint triggering condition; determine a target body part of the target object that needs to be constrained this time based on the first influence proportion and the second influence proportion.

[0008] As an optional implementation, in the first aspect of the present application, after the target body part is determined, before the step of controlling the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameters, the method further comprises: analyze the bearing degree of the target body part to a constraint intensity corresponding to the target constraint control parameters based on current state parameters of the target body part; if the bearing degree is greater than or equal to a preset bearing threshold, perform the step of controlling the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameters; if the endurance degree is less than the preset endurance threshold, adjusting the target constraint control parameter based on the current state parameter of the target body part and the endurance degree to update the target constraint control parameter, and performing the step of controlling the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameter; and / or, if the endurance degree is less than the preset endurance threshold, determining an auxiliary constraint body part from the adjacent body part of the target body part, and updating the target body part according to the auxiliary constraint body part, or updating the target body part and the target constraint control parameter according to the auxiliary constraint body part, and performing the step of controlling the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameter.

[0009] As an optional implementation, in the first aspect of the present application, the step of determining the target body part of the target object required to be constrained this time according to the first influence proportion and the second influence proportion comprises: determining a candidate body part to be constrained this time according to the first influence proportion and the second influence proportion; when the candidate body part is unique, determining the candidate body part as the target body part of the target object required to be constrained this time; when the candidate body part is not unique, analyzing third multi-dimensional information corresponding to each candidate body part, the third multi-dimensional information comprising an influence degree on normal necessary activities of the target object after the candidate body part is constrained, an effective constraint degree on the key body part after the candidate body part is constrained, and a constraint complexity of the candidate body part; determining the target body part of the target object required to be constrained this time from all the candidate body parts according to the third multi-dimensional information corresponding to each candidate body part; wherein the effective constraint degree on the key body part after the candidate body part is constrained is determined according to a constraint efficiency and a constraint effect of the key body part after the candidate body part is constrained.

[0010] As an optional implementation, in the first aspect of the present application, the step of determining the target body part of the target object required to be constrained this time according to the first influence proportion and the second influence proportion comprises: For each of the candidate body parts, an initial cost parameter of the smart restraint device facing the candidate body part is calculated according to an influence degree and a constraint complexity in the third multi-dimensional information corresponding to the candidate body part, and the initial cost parameter of the smart restraint device facing the candidate body part is corrected according to an effective constraint degree in the third multi-dimensional information corresponding to the candidate body part, so as to obtain a target cost parameter of the smart restraint device facing the candidate body part. According to the target cost parameter of each of the candidate body parts, a candidate body part corresponding to a minimum target cost parameter is screened from all the candidate body parts as a target body part of the target object required to be constrained.

[0011] As an optional implementation, in the first aspect of the present application, the method further comprises: After the target constraint control parameter is determined, whether a smart auxiliary device used for carrying or supporting the target object in a current scene where the target object is located meets a constraint auxiliary condition when the target body part is constrained by the smart restraint device is judged according to the target constraint control parameter. When the smart auxiliary device meets the constraint auxiliary condition, a constraint auxiliary operation is performed by the smart auxiliary device in a process of controlling the smart restraint device worn by the target object to perform a matching constraint operation on the target body part.

[0012] As an optional implementation, in the first aspect of the present application, the method further comprises: In a process of controlling the smart restraint device worn by the target object to perform a matching constraint operation on the target body part, a constraint guiding operation for the target body part is performed by the smart restraint device and / or other associated auxiliary devices worn by the target object. The control of the smart restraint device and / or other associated auxiliary devices worn by the target object to perform the constraint guiding operation for the target body part comprises: A constraint guiding control parameter is determined according to a current state of the target object. The constraint guiding control parameter is used to control the smart restraint device and / or other associated auxiliary devices worn by the target object to perform the constraint guiding operation for the target body part.

[0013] The second aspect of the present application discloses a smart restraint system, which comprises: The collection module is configured to collect first multi-dimension information corresponding to any target object to be monitored, the first multi-dimension information at least including a current physiological state parameter of the target object, a current state parameter of a key body part of the target object, and a current state parameter of an associated body part of the key body part; The judgment module is configured to judge whether the target object currently satisfies an adaptive constraint triggering condition based on target state information corresponding to the target object, wherein the target state information at least includes part or all of the state parameters in the first multi-dimension information. The collection module is further configured to collect second multi-dimension information corresponding to the target object when the judgment module judges that the target object currently satisfies the adaptive constraint triggering condition, wherein the second multi-dimension information at least includes a triggering condition of a smart constraint device worn by the target object, a current scene in which the target object is located, and multi-dimension movement parameters corresponding to the key body part. The constraint control module is configured to generate target constraint control parameters of the smart constraint device worn by the target object for the target body part according to the second multi-dimension information and the determined target body part to be constrained, in combination with a smart constraint control model that is pre-trained to convergence, and to control the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameters.

[0014] As an optional implementation, in the second aspect of the present application, the smart constraint system further includes: The determination module is configured to determine a first influence proportion of the key body part on the target object currently satisfying the adaptive constraint triggering condition and a second influence proportion of the associated body part on the target object currently satisfying the adaptive constraint triggering condition according to the current state parameter of the key body part and the current state parameter of the associated body part when the judgment module judges that the target object currently satisfies the adaptive constraint triggering condition, and to determine a target body part of the target object required to be constrained this time according to the first influence proportion and the second influence proportion.

[0015] As an optional implementation, in the second aspect of the present application, the constraint control module is further configured to: After the determination module determines the target body part, the bearing degree of the target body part to the constraint strength corresponding to the target constraint control parameter is analyzed according to the current state parameter of the target body part; if the bearing degree is greater than or equal to a preset bearing threshold, the execution of the control of the smart constraint device worn by the target object on the target body part according to the target constraint control parameter is triggered to perform a matching constraint operation on the target body part; If the bearing degree is less than the preset bearing threshold, the target constraint control parameter is adjusted to update the target constraint control parameter based on the current state parameter of the target body part and the bearing degree, and the execution of the control of the smart constraint device worn by the target object on the target body part according to the target constraint control parameter is triggered to perform a matching constraint operation on the target body part; and / or, If the bearing degree is less than the preset bearing threshold, an auxiliary constraint body part is determined from the adjacent body part of the target body part, and the target body part is updated according to the auxiliary constraint body part, or the target body part and the target constraint control parameter are updated according to the auxiliary constraint body part, and the execution of the control of the smart constraint device worn by the target object on the target body part according to the target constraint control parameter is triggered to perform a matching constraint operation on the target body part.

[0016] As an optional implementation, in the second aspect of the present application, the specific manner of determining the target body part of the target object required to be constrained this time by the determination module according to the first influence proportion and the second influence proportion comprises: determining a candidate body part to be constrained this time according to the first influence proportion and the second influence proportion; when the candidate body part is unique, determining the candidate body part as the target body part of the target object required to be constrained this time; when the candidate body part is not unique, analyzing third multi-dimensional information corresponding to each candidate body part, the third multi-dimensional information comprising an influence degree on normal necessary activities of the target object after the candidate body part is constrained, an effective constraint degree on the key body part after the candidate body part is constrained, and a constraint complexity of the candidate body part; determining the target body part of the target object required to be constrained this time from all the candidate body parts according to the third multi-dimensional information corresponding to each candidate body part; wherein the effective constraint degree on the key body part after the candidate body part is constrained is determined according to a constraint efficiency and a constraint effect of the key body part after the candidate body part is constrained.

[0017] As an optional implementation form of the second aspect of the present application, the determining module determines the target body part of the target object to be constrained this time from all the candidate body parts according to the third multi-dimension information corresponding to each candidate body part in the following specific manner: For each candidate body part, an initial cost parameter of the intelligent constraint device facing the candidate body part is calculated according to the impact degree and constraint complexity in the third multi-dimension information corresponding to the candidate body part, and the initial cost parameter of the intelligent constraint device facing the candidate body part is corrected according to the effective constraint degree in the third multi-dimension information corresponding to the candidate body part to obtain a target cost parameter of the intelligent constraint device facing the candidate body part; The candidate body part corresponding to the minimum target cost parameter is selected from all the candidate body parts as the target body part of the target object to be constrained this time according to the target cost parameter of each candidate body part.

[0018] As an optional implementation form of the second aspect of the present application, the intelligent constraint system further comprises a constraint linkage control module, wherein: The constraint linkage control module is configured to, after determining the target constraint control parameter, judge whether an intelligent auxiliary device used to carry or support the target object in a current scene where the target object is located meets a constraint auxiliary condition when the target body part is constrained by the intelligent constraint device according to the target constraint control parameter, and control the intelligent auxiliary device to perform a constraint auxiliary operation in a process of controlling the intelligent constraint device worn by the target object to perform a matching constraint operation on the target body part when the intelligent auxiliary device meets the constraint auxiliary condition.

[0019] As an optional implementation form of the second aspect of the present application, the constraint linkage control module is further configured to: control the intelligent constraint device worn by the target object and / or other associated auxiliary devices to perform a constraint guiding operation on the target body part in a process of controlling the intelligent constraint device worn by the target object to perform a matching constraint operation on the target body part. The specific manner in which the constraint linkage control module controls the intelligent constraint device worn by the target object and / or other associated auxiliary devices to perform a constraint guiding operation on the target body part includes: determining a constraint guiding control parameter according to a current state of the target object; According to the constraint guidance control parameter, the smart constraint device and / or other associated auxiliary device worn by the target object are controlled to perform a constraint guidance operation on the target body part.

[0020] A third aspect of the present application discloses another smart constraint system, which comprises: a memory storing executable program codes; a processor coupled with the memory; The processor invokes the executable program codes stored in the memory to perform part or all steps of the adaptive control method of the smart constraint system according to any one of the first aspect of the present application.

[0021] A fourth aspect of the present application discloses a computer storage medium storing computer instructions, which are invoked to perform part or all steps of the adaptive control method of the smart constraint system according to any one of the first aspect of the present application.

[0022] Compared with the prior art, the present application has the following beneficial effects: In the present application, for any target object to be monitored, after collecting the first multi-dimension information corresponding to the target object, it is intelligently determined whether the target object satisfies the adaptive constraint triggering condition according to the target state information including part or all state parameters in the first multi-dimension information, if yes, the second multi-dimension information corresponding to the target object is further collected, and then based on the collected second multi-dimension information and the determined target body part to be constrained, the target constraint control parameter of the smart constraint device currently worn by the target object for the determined target body part is generated by further combining the smart constraint control model trained to convergence in advance, after the target constraint control parameter is determined, the smart constraint device worn by the target object is controlled to perform the matched constraint operation on the determined target body part. It can be seen that the present application can intelligently determine whether the object to be monitored satisfies the adaptive constraint triggering condition based on the state parameters, if yes, the adaptive constraint related operation is automatically triggered, which is beneficial to improve the reliability and timeliness of adaptive constraint; in addition, the constraint control parameter can be generated more targetedly according to the multi-dimension parameters of the object to be monitored and further combined with the smart constraint control model, which improves the generation efficiency, reliability and precision of the constraint control parameter, and further improves the constraint efficiency, constraint precision and constraint reliability. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description only show some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative effort.

[0024] Figure 1 is a flow diagram of an adaptive control method of an intelligent restraint system disclosed by an embodiment of the present application; Figure 2 is a flow diagram of another adaptive control method of an intelligent restraint system disclosed by an embodiment of the present application; Figure 3 is a structural diagram of an intelligent restraint system disclosed by an embodiment of the present application; Figure 4 is a structural diagram of another intelligent restraint system disclosed by an embodiment of the present application; Figure 5 is a structural diagram of still another intelligent restraint system disclosed by an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to make the personnel in the technical field better understand the present application, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application.

[0026] The terms "first", "second", and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects, and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or end including a series of steps or modules is not limited to the listed steps or modules, but can optionally include steps or modules not listed, or can optionally include other steps or modules inherent to the process, method, product, or end.

[0027] In this paper, the term "embodiment" means that the specific features, structures or characteristics described in conjunction with the embodiment can be included in at least one embodiment of the present application. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0028] The application discloses an adaptive control method of an intelligent restraint system and the intelligent restraint system, and can intelligently judge whether a to-be-monitored object meets an adaptive restraint triggering condition based on state parameters of the to-be-monitored object, and if yes, automatically triggers adaptive restraint related operations, which is beneficial to improving the reliability and timeliness of adaptive restraint. In addition, the adaptive control method of the intelligent restraint system can further generate more targeted restraint control parameters according to multi-dimensional parameters of the to-be-monitored object and further collection of an intelligent restraint control model, thereby improving the generation efficiency, reliability and accuracy of the restraint control parameters, and further improving the restraint efficiency, restraint accuracy and restraint reliability. The following will be described in detail.

[0029] Embodiment one Please refer to Figure 1 , Figure 1 is a flowchart of an adaptive control method of an intelligent restraint system disclosed by the embodiment of the application. Wherein, Figure 1 The method described can be applied to an intelligent restraint system corresponding to an intelligent restraint device. The intelligent restraint system can be integrated in the intelligent restraint device as a part of the intelligent restraint device, or can exist independently of the intelligent restraint device, and the embodiment of the application does not make any limitation. As shown in the figure, Figure 1 The adaptive control method of the intelligent restraint system can include the following steps: 101. For any to-be-monitored target object, collect first multi-dimensional information corresponding to the target object.

[0030] In the embodiment of the application, the first multi-dimensional information at least includes a plurality of state parameters, and further, the plurality of state parameters at least includes a current physiological state parameter of the target object, a current state parameter of a key body part of the target object, and further, can include a current state parameter of an associated body part of the key body part. Wherein, the key body part can be understood as a body part that needs to be paid attention to, such as a wounded body part or a body part after surgery, and the associated body part of the key body part is a body part that has an associated relationship with the key body part, and the associated relationship is used to indicate that the associated body part will cause the movement of the key body part when moving or moving greatly. For example: a patient as a to-be-monitored target object has just undergone a thoracic surgery, and the thoracic cavity cannot be shaken, so the thoracic cavity is the key body part of the patient, and when the patient coughs or lifts the arm, it may pull the thoracic cavity, so the arm and / or head of the patient can be understood as the associated body part of the thoracic cavity.

[0031] In the embodiment of the present application, the current physiological state parameter of the target object can include one or more of pulse, respiratory rate, blood pressure, body temperature, blood oxygen saturation, etc., and the current state parameter of the body part (key body part and / or associated body part) can at least include the movement parameter and / or health state and / or position parameter of the body part. Further, if the body part has a changeable posture, the current state parameter of the body part can further include the current posture of the body part. Taking the arm as an example, the current posture of the arm can be straight or bent. Further optionally, the movement parameter of the body part can include at least one of the movement direction, movement distance, and movement frequency of the body part, which is not limited in the embodiment of the present application.

[0032] 102. Based on the target state information corresponding to the target object, it is judged whether the target object currently satisfies the adaptive constraint triggering condition. If it is judged that the target object currently satisfies the adaptive constraint triggering condition, the second multi-dimensional information corresponding to the target object is collected.

[0033] In the embodiment of the present application, if the judgment result of step 102 is no, the current process can be ended, or step 102 can be continuously triggered, which is not limited in the embodiment of the present application.

[0034] In the embodiment of the present application, the target state information at least includes part or all of the state parameters in the first multi-dimensional information. The multi-dimensional state information is used to judge whether the target object currently satisfies the adaptive constraint triggering condition, which is beneficial to improve the judgment accuracy and comprehensiveness, and further beneficial to improve the constraint efficiency and constraint accuracy. Further, when the target state information includes a plurality of state parameters, different types of state parameters have corresponding different judgment priorities. For example, the judgment priority of the movement parameter is greater than that of the non-movement parameter. In actual judgment, whether the target object currently satisfies the adaptive constraint triggering condition can be judged based on the movement parameter in the target state parameter first. If it is judged that the adaptive constraint triggering condition is not satisfied based on the movement parameter, whether the target object currently satisfies the adaptive constraint triggering condition is judged according to the non-movement parameter (such as physiological state parameter, etc.). Taking the movement parameter including movement direction and movement distance as an example, whether the target object currently satisfies the adaptive constraint triggering condition can include: judging whether the movement direction belongs to the predetermined movable direction. If it does not belong to the predetermined movable direction, it is further judged whether the movement distance is greater than or equal to the allowed movement distance. If the movement distance is greater than or equal to the allowed movement distance, it is determined that the target object currently satisfies the adaptive constraint triggering condition. Further, the movable direction and the allowed movement distance are determined according to the actual situation, which can include one or more of the body part to which the movement parameter belongs, the current lying posture of the target object, the position of the key body part, and the current health state of the key body part.

[0035] In the embodiments of the present application, optionally, the second multi-dimensional information at least includes a trigger condition for the target object to wear the smart restraint device, a current scene in which the target object is located, and a multi-dimensional movement parameter corresponding to a key body part. Further optionally, the trigger condition for the target object to wear the smart restraint device is used to represent the reason (such as a surgical reason and / or a control force reason) for the target object to wear the smart restraint device, the current scene in which the target object is located can be one of a general ward, a special ward, and an ICU, and the multi-dimensional movement parameter corresponding to the key body part can include one or more of a movement speed, a movement direction, a movement frequency, a movement distance, and a movement law, and the multi-dimensional movement parameter can include a movement parameter caused by active movement and / or a movement parameter caused by passive movement, which is not limited in the embodiments of the present application. The movement parameter caused by passive movement can be a movement parameter corresponding to the movement of the key body part caused by the movement of the associated body part.

[0036] 103. According to the second multi-dimensional information and the determined target body part to be restrained, a target restraint control parameter of the smart restraint device worn by the target object for the target body part is generated in combination with the smart restraint control model pre-trained to convergence.

[0037] In the embodiments of the present application, the smart restraint control model is obtained by training an initial restraint control model in combination with a large amount of historical restraint sample data corresponding to the restraint sample data. Each set of restraint sample data can include second historical multi-dimensional information corresponding to a restraint sample object, a historical restraint part corresponding to the restraint sample object, a historical restraint control parameter when the historical restraint part is restrained, and a restraint effect after the historical restraint part is restrained based on the historical restraint control parameter. Optionally, the initial restraint control model can be a multi-modal reinforcement learning (RL) model or a space-time graph neural network (ST-GNN) model, etc., which is not limited in the embodiments of the present application.

[0038] In the embodiments of the present application, the target restraint control parameter can include one or more of a restraint direction, a restraint degree, a restraint tightness, a restraint duration, a change gradient of the restraint degree, a restraint rate, etc. Optionally, when the target restraint control parameter is generated, the contact parameter between the smart restraint device and the target body part, such as a contact position and / or a contact area, etc., can be further considered.

[0039] 104. According to the target restraint control parameter, a smart restraint device worn by the target object is controlled to perform a matched restraint operation on the target body part.

[0040] It can be seen that the method described in the embodiment of the present application can intelligently determine whether the to-be-monitored object meets the adaptive constraint triggering condition based on the state parameter of the to-be-monitored object, and if so, automatically trigger the adaptive constraint related operation, which is beneficial to improve the reliability and timeliness of the adaptive constraint. In addition, the multi-dimensional parameters of the to-be-monitored object can be further collected, and the intelligent constraint control model can be further generated to generate more targeted constraint control parameters, thereby improving the generation efficiency, reliability and accuracy of the constraint control parameters, and further improving the constraint efficiency, constraint accuracy and constraint reliability.

[0041] In an optional embodiment, the method can further include the following operations: After determining the target constraint control parameter, it is determined whether the intelligent auxiliary device (such as a smart bed with adjustable height and / or inclination angle) used to carry or support the target object in the current scene of the target object meets the constraint auxiliary condition when the intelligent constraint device constrains the target body part according to the target constraint control parameter. When the intelligent auxiliary device meets the constraint auxiliary condition, the intelligent auxiliary device performs the constraint auxiliary operation in the process of controlling the smart constraint device worn by the target object to perform the matching constraint operation on the target body part.

[0042] For example, assuming that the target body part to be constrained is the leg, which needs to be pulled up and fixed to a certain height, the position of the bed used to carry the leg of the target object can be appropriately raised.

[0043] It can be seen that the optional embodiment can further link other intelligent auxiliary devices to complete auxiliary constraint in the process of adaptive constraint on the determined target body part, which is not only beneficial to improve the adaptive constraint efficiency, but also can improve the constraint effect to a certain extent.

[0044] In another optional embodiment, the method can further include the following operations: In the process of controlling the smart constraint device worn by the target object to perform the matching constraint operation on the target body part, the smart constraint device worn by the target object and / or other associated auxiliary devices perform the constraint guidance operation on the target body part.

[0045] In the optional embodiment, as an optional implementation, the above-mentioned control of the smart constraint device worn by the target object and / or other associated auxiliary devices to perform the constraint guidance operation on the target body part can include: According to the current state of the target object, determine the constraint guidance control parameter; According to the constraint guidance control parameter, control the smart constraint device worn by the target object and / or other associated auxiliary devices to perform the constraint guidance operation on the target body part.

[0046] It can be seen that in the process of adaptively constraining the determined target body part, the optional embodiment can also perform constraint guiding operation to guide the constraint of the target object, which is conducive to improving the cooperation degree of the target object, and can also to some extent reduce the occurrence of the target object feeling uncomfortable due to adaptive constraint, which is conducive to improving the constraint effect and constraint experience. In addition, when performing constraint guiding, the matching constraint guiding control parameters can be determined according to the current state of the target object, which is conducive to improving the matching degree of the determined constraint guiding control parameters and the actual situation of the target object, and further improving the effectiveness of the constraint guiding.

[0047] Embodiment two Please refer to Figure 2 , Figure 2 is a flowchart of another adaptive control method of an intelligent constraint system according to an embodiment of the present application. Wherein, Figure 2 The method described is applied to the intelligent constraint system corresponding to the intelligent constraint device. The intelligent constraint system can be integrated in the intelligent constraint device as a part of the intelligent constraint device, or can exist independently of the intelligent constraint device, and the present application does not limit it. As Figure 2 The adaptive control method of the intelligent constraint system can include the following steps: 201. For any target object to be monitored, collect the first multi-dimensional information corresponding to the target object.

[0048] 202. Based on the target state information corresponding to the target object, determine whether the target object currently satisfies the adaptive constraint triggering condition. If it is determined that the target object currently satisfies the adaptive constraint triggering condition, collect the second multi-dimensional information corresponding to the target object.

[0049] In the present application, if the result of step 202 is no, the present process can be ended, or step 202 can be continued, and the present application does not limit it.

[0050] In the present application, the description of steps 201-202 is referred to the detailed description of steps 101-102 in embodiment one, and the present application does not repeat it.

[0051] 203. According to the current state parameters of the key body part and the current state parameters of the associated body part, the first influence proportion of the key body part on the target object currently satisfying the adaptive constraint triggering condition and the second influence proportion of the associated body part on the target object currently satisfying the adaptive constraint triggering condition are determined respectively.

[0052] 204、determine the target body part of the target object that needs to be constrained according to the first influence proportion and the second influence proportion.

[0053] Wherein, the steps 203-204 can be understood as a process of determining the target body part that needs to be constrained. It can be seen that the embodiment of the present application can determine the body part that is actually constrained when implementing adaptive constraint, which is beneficial to further improve the constraint accuracy and constraint effect.

[0054] 205、generate the target constraint control parameter of the target body part of the smart constraint device worn by the target object according to the second multi-dimension information and the target body part determined above, combined with the intelligent constraint control model that is pre-trained to convergence.

[0055] 206、control the smart constraint device worn by the target object to perform the matching constraint operation on the target body part according to the target constraint control parameter.

[0056] In the embodiment of the present application, the description of steps 205-206 can refer to the detailed description of steps 103-104 in embodiment one, and the embodiment of the present application will not be repeated.

[0057] It can be seen that the method described in the embodiment of the present application can intelligently judge whether the to-be-monitored object meets the adaptive constraint triggering condition based on the state parameter of the to-be-monitored object, and if it meets, the adaptive constraint related operation is automatically triggered, which is beneficial to improve the reliability and timeliness of adaptive constraint. In addition, the constraint control parameter that is more targeted can be generated according to the multi-dimension parameter of the to-be-monitored object and further combined with the intelligent constraint control model, which improves the generation efficiency, reliability and accuracy of the constraint control parameter, and further improves the constraint efficiency, constraint accuracy and constraint reliability. In addition, the appropriate to-be-constrained part can be determined according to the influence proportion of different body parts on the target object that currently meets the adaptive constraint triggering condition, which is beneficial to improve the accuracy of the determined to-be-constrained body part, and further improves the constraint efficiency and constraint effect, constraint accuracy.

[0058] In an optional embodiment, after determining the target body part, before performing the above step of controlling the smart constraint device worn by the target object to perform the matching constraint operation on the target body part according to the target constraint control parameter, the method can further include: analyze the bearing degree of the target body part to the constraint intensity corresponding to the target constraint control parameter according to the current state parameter of the target body part; if the bearing degree is greater than or equal to a preset bearing degree threshold, then perform the step of controlling the smart constraint device worn by the target object to perform the matching constraint operation on the target body part according to the target constraint control parameter; If the endurance is less than the preset endurance threshold, the target constraint control parameter is adjusted based on the current state parameter of the target body part and the endurance to update the target constraint control parameter, and the step of controlling the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameter is performed; and / or, If the endurance is less than the preset endurance threshold, an auxiliary constraint body part is determined from the adjacent body parts of the target body part, and the target body part is updated according to the auxiliary constraint body part, or the target body part and the target constraint control parameter are updated according to the auxiliary constraint body part, and the step of controlling the smart constraint device worn by the target object to perform a matching constraint operation on the target body part according to the target constraint control parameter is performed.

[0059] It can be seen that, in this optional embodiment, after the constraint control parameter is generated based on the smart constraint control model, the endurance of the target body part to the constraint intensity corresponding to the target constraint control parameter can be analyzed or estimated based on the current state parameter of the target body part. If the target body part can withstand, the constraint control operation is directly performed. If the target body part cannot withstand, the constraint control parameter and / or the constraint part can be further adjusted. This not only helps to improve the flexibility of adaptive constraint, but also can to some extent reduce the situation that the target object is uncomfortable or causes new damage to the target object due to the target body part being unable to withstand high-intensity constraint intensity.

[0060] In another optional embodiment, the above-mentioned determining, according to the first influence proportion and the second influence proportion, the target body part of the target object required to be constrained this time can include: determining, according to the first influence proportion and the second influence proportion, the candidate body part to be constrained this time; when the candidate body part is unique, determining the candidate body part as the target body part of the target object required to be constrained this time; when the candidate body part is not unique, analyzing third multi-dimensional information corresponding to each candidate body part, the third multi-dimensional information including an influence degree on normal necessary activities of the target object after the candidate body part is constrained, an effective constraint degree on the key body part after the candidate body part is constrained, and a constraint complexity of the candidate body part; determining, according to the third multi-dimensional information corresponding to each candidate body part, the target body part of the target object required to be constrained this time from all candidate body parts.

[0061] In this optional embodiment, further optionally, the effective constraint degree on the key body part after the candidate body part is constrained is determined according to a constraint efficiency and a constraint effect on the key body part after the candidate body part is constrained.

[0062] It can be seen that the optional embodiment can also provide an intelligent way of removing the target body part to be constrained, and improve the determination flexibility of the target body part to be constrained. Further, when there are multiple determined target body parts, the target body part to be constrained can be determined based on multi-dimensional information, which is beneficial to improve the rationality of the determined target body part to be constrained.

[0063] In yet another optional embodiment, the above-mentioned determining, from all the candidate body parts, the target body part of the target object to be constrained this time according to the third multi-dimensional information corresponding to each candidate body part can include: For each candidate body part, calculating an initial cost parameter of the intelligent constraint device facing the candidate body part according to the influence degree and the constraint complexity in the third multi-dimensional information corresponding to the candidate body part; and correcting the initial cost parameter of the intelligent constraint device facing the candidate body part according to the effective constraint degree in the third multi-dimensional information corresponding to the candidate body part, to obtain a target cost parameter of the intelligent constraint device facing the candidate body part; According to the target cost parameter of each candidate body part, screening the candidate body part corresponding to the minimum target cost parameter from all the candidate body parts as the target body part of the target object to be constrained this time.

[0064] Optionally, the cost parameter can be represented by a cost score, and the higher the cost score, the greater the comprehensive constraint cost.

[0065] It can be seen that when there are multiple determined candidate body parts, the optional embodiment can also calculate or evaluate the target cost parameter of the intelligent constraint device facing the candidate body part based on multi-dimensional information, and then select the body part corresponding to the minimum cost parameter as the target body part to be constrained, so as to reduce the constraint cost as much as possible while ensuring the constraint effect, constraint pertinence and constraint reliability. In addition, in the calculation / evaluation of the target cost parameter of the candidate body part, the initial cost parameter can be calculated first, and then the initial cost parameter is corrected based on the effective constraint degree, which is beneficial to improve the calculation / evaluation reliability of the target cost parameter of the candidate body part, and further beneficial to improve the screening efficiency and screening reliability of the target body part to be constrained.

[0066] It should be noted that the specific details of the related steps in the self-adaptive control method of the intelligent constraint system, and other steps that can be further included and their specific details can be referred to the related description in Embodiment One, which will not be repeated here.

[0067] Embodiment Three Please refer to Figure 3, Figure 3 is a structural schematic diagram of an intelligent restraint system disclosed by an embodiment of the present application. Wherein, Figure 3 The described intelligent restraint system can exist as part of an intelligent restraint device or independently of the intelligent restraint device, and the present application is not limited in this regard, further, Figure 3 The described intelligent restraint system can control the intelligent restraint device to perform a matching restraint operation through any method described in Embodiment One to Embodiment Two. As Figure 3 The intelligent restraint system can include: The acquisition module 301 is configured to acquire first multi-dimension information corresponding to a target object for any target object to be monitored, the first multi-dimension information including at least a current physiological state parameter of the target object, a current state parameter of a key body part of the target object, and a current state parameter of an associated body part of the key body part; The judgment module 302 is configured to judge whether the target object currently satisfies an adaptive restraint trigger condition based on target state information corresponding to the target object, wherein the target state information includes at least part or all of the state parameters in the first multi-dimension information; The acquisition module 301 is further configured to acquire second multi-dimension information corresponding to the target object when the judgment module 302 judges that the target object currently satisfies the adaptive restraint trigger condition, the second multi-dimension information including at least a trigger condition of the target object wearing the intelligent restraint device, a current scene in which the target object is located, and multi-dimension movement parameters corresponding to the key body part; The restraint control module 303 is configured to generate target restraint control parameters of the intelligent restraint device worn by the target object for the target body part according to the second multi-dimension information and the determined target body part to be restrained, in combination with the intelligent restraint control model trained to convergence in advance, and to control the intelligent restraint device worn by the target object to perform a matching restraint operation on the target body part according to the target restraint control parameters.

[0068] It can be seen that the embodiments Figure 3 The described intelligent restraint system can intelligently judge whether the target object to be monitored satisfies the adaptive restraint trigger condition based on the state parameters of the target object to be monitored, and if so, automatically trigger the adaptive restraint related operation, which is beneficial to improve the reliability and timeliness of the adaptive restraint; in addition, the restraint control parameters can be generated more targetedly according to the multi-dimension parameters of the target object to be monitored and further in combination with the intelligent restraint control model, which improves the generation efficiency, reliability, and precision of the restraint control parameters, and is further beneficial to improve the restraint efficiency, restraint precision, and restraint reliability.

[0069] In an optional embodiment, as Figure 4As shown, the intelligent restraint system can further include: The determining module 304 is configured to, when the judging module 302 determines that the target object currently satisfies the adaptive restraint triggering condition, determine, according to the current state parameter of the key body part and the current state parameter of the associated body part, a first influence proportion of the key body part on the target object currently satisfying the adaptive restraint triggering condition and a second influence proportion of the associated body part on the target object currently satisfying the adaptive restraint triggering condition, respectively, and determine, according to the first influence proportion and the second influence proportion, a target body part of the target object that needs to be restrained this time.

[0070] It can be seen that the implementation Figure 4 The described intelligent restraint system can also determine the appropriate to-be-restrained part according to the influence proportions of different body parts on the target object currently satisfying the adaptive restraint triggering condition, which is beneficial to improve the accuracy of the determined to-be-restrained body part, and further beneficial to improve the restraint efficiency and restraint effect, and restraint accuracy.

[0071] In another optional embodiment, the restraint control module 303 described above is further configured to: After the target body part is determined by the determining module, the current state parameter of the target body part is analyzed to determine the bearing degree of the target body part to the restraint intensity corresponding to the target restraint control parameter; if the bearing degree is greater than or equal to a preset bearing threshold, the target restraint control parameter is triggered to execute the control of the smart restraint device worn by the target object on the target body part to perform a matching restraint operation. If the bearing degree is less than the preset bearing threshold, the target restraint control parameter is adjusted based on the current state parameter of the target body part and the bearing degree to update the target restraint control parameter, and the target restraint control parameter is triggered to execute the control of the smart restraint device worn by the target object on the target body part to perform a matching restraint operation; and / or, If the bearing degree is less than the preset bearing threshold, an auxiliary restraint body part is determined from the adjacent body part of the target body part, and the target body part is updated according to the auxiliary restraint body part, or the target body part and the target restraint control parameter are updated according to the auxiliary restraint body part, and the target restraint control parameter is triggered to execute the control of the smart restraint device worn by the target object on the target body part to perform a matching restraint operation.

[0072] It can be seen that, after the constraint control parameter is generated based on the intelligent constraint control model, the optional embodiment can further analyze or estimate the bearing degree of the target body part to the constraint strength corresponding to the target constraint control parameter based on the current state parameter of the target body part. If the target body part can bear, the constraint control operation is directly performed. If the target body part cannot bear, the constraint control parameter and / or the constraint part can be further adjusted, which not only helps to improve the flexibility of adaptive constraint, but also can reduce the situation that the target object is uncomfortable or causes new damage to the target object due to the target body part cannot bear high strength constraint.

[0073] In yet another optional embodiment, the specific manner in which the determination module 304 determines the target body part of the target object required to be constrained this time according to the first influence proportion and the second influence proportion can include: determining the candidate body part to be constrained this time according to the first influence proportion and the second influence proportion; when the candidate body part is unique, determining the candidate body part as the target body part of the target object required to be constrained this time; when the candidate body part is not unique, analyzing third multi-dimensional information corresponding to each candidate body part, the third multi-dimensional information including an influence degree on normal necessary activities of the target object after the candidate body part is constrained, an effective constraint degree on the key body part after the candidate body part is constrained, and a constraint complexity of the candidate body part; determining the target body part of the target object required to be constrained this time from all candidate body parts according to the third multi-dimensional information corresponding to each candidate body part.

[0074] In this optional embodiment, further optionally, the effective constraint degree on the key body part after the candidate body part is constrained is determined according to a constraint efficiency and a constraint effect on the key body part after the candidate body part is constrained.

[0075] It can be seen that this optional embodiment can also provide an intelligent way of determining the target body part to be constrained, and improve the flexibility of determining the target body part to be constrained. Further, when there are multiple candidate body parts, the target body part to be constrained can be determined based on multi-dimensional information, which helps to improve the rationality of the determined target body part to be constrained.

[0076] In yet another optional embodiment, the specific manner in which the determination module 304 determines the target body part of the target object required to be constrained this time according to the third multi-dimensional information corresponding to each candidate body part can include: For each candidate body part, according to the influence degree and the constraint complexity in the third multi-dimension information corresponding to the candidate body part, an initial cost parameter of the intelligent constraint device facing the candidate body part is calculated; and according to the effective constraint degree in the third multi-dimension information corresponding to the candidate body part, the initial cost parameter of the intelligent constraint device facing the candidate body part is corrected to obtain a target cost parameter of the intelligent constraint device facing the candidate body part. According to the target cost parameter of each candidate body part, a candidate body part corresponding to a minimum target cost parameter is selected from all candidate body parts as a target body part of a target object required to be constrained.

[0077] It can be seen that when there are multiple candidate body parts, the optional embodiment can also calculate or evaluate the target cost parameter of the intelligent constraint device facing the candidate body part based on the multi-dimension information, and then select the body part corresponding to the minimum cost parameter as the target body part to be constrained, so as to reduce the constraint cost as much as possible while ensuring the constraint effect, constraint pertinence and constraint reliability. In addition, in the calculation / evaluation of the target cost parameter of the candidate body part, the initial cost parameter can be calculated first, and then the initial cost parameter is corrected based on the effective constraint degree, which is beneficial to improve the calculation / evaluation reliability of the target cost parameter of the candidate body part, and then beneficial to improve the screening efficiency and screening reliability of the target body part to be constrained.

[0078] In yet another optional embodiment, as shown in Figure 4 The intelligent constraint system further includes a constraint linkage control module 305, wherein: The constraint linkage control module 305 is configured to, after determining the target constraint control parameter, determine whether the intelligent auxiliary device used to carry or support the target object in the current scene of the target object meets the constraint auxiliary condition when the target body part is constrained by the intelligent constraint device according to the target constraint control parameter; and when the intelligent auxiliary device meets the constraint auxiliary condition, control the intelligent auxiliary device to perform a constraint auxiliary operation in the process of controlling the intelligent constraint device worn by the target object to perform a matching constraint operation on the target body part.

[0079] It can be seen that in the process of adaptively constraining the determined target body part, the optional embodiment can further link other intelligent auxiliary devices to complete auxiliary constraint, which is not only beneficial to improve the adaptive constraint efficiency, but also can improve the constraint effect to a certain extent.

[0080] In yet another optional embodiment, the constraint linkage control module 305 described above can also be configured to: In the process of controlling the smart restraint device worn by the target object to perform a matching restraint operation on the target body part, the smart restraint device worn by the target object and / or other associated auxiliary devices are controlled to perform a restraint guiding operation on the target body part.

[0081] In this optional embodiment, the specific manner in which the restraint linkage control module 305 controls the smart restraint device worn by the target object and / or other associated auxiliary devices to perform a restraint guiding operation on the target body part can include: determining a restraint guiding control parameter according to the current state of the target object; controlling the smart restraint device worn by the target object and / or other associated auxiliary devices to perform a restraint guiding operation on the target body part according to the restraint guiding control parameter.

[0082] As can be seen, in the process of adaptively restraining the determined target body part, the optional embodiment can also perform a restraint guiding operation to guide the restraint of the target object, which is conducive to improving the cooperation degree of the target object and can also to some extent reduce the occurrence of the target object feeling uncomfortable due to adaptive restraint, which is conducive to improving the restraint effect and the restraint experience. In addition, when performing the restraint guiding operation, a matching restraint guiding control parameter can be determined according to the current state of the target object, which is conducive to improving the matching degree of the determined restraint guiding control parameter and the actual situation of the target object, and thus is conducive to improving the effectiveness of the restraint guiding operation.

[0083] Embodiment Four Please refer to Figure 5 , Figure 5 is another structure diagram of a smart restraint system according to an embodiment of the present application. In this diagram, Figure 5 The described smart restraint system can be integrated in a smart restraint device as a part of the smart restraint device, or can exist independently of the smart restraint device, and the present application does not limit the same, and further, Figure 5 The described smart restraint system can control the smart restraint device to perform a matching restraint operation through any method described in Embodiment One to Embodiment Two. As Figure 5 The smart restraint system can include: a memory 401 storing executable program codes; a processor 402 coupled with the memory 401; The processor 402 invokes the executable program codes stored in the memory 401 to execute part or all of the steps of the adaptive control method of the smart restraint system described in any of Embodiment One and Embodiment Two of the present application.

[0084] Embodiment Five The embodiment of the present application discloses a computer storage medium, which stores computer instructions, when the computer instructions are invoked, part or all steps in the adaptive control method of the intelligent constraint system described in any one of the embodiment one and the embodiment two are executed.

[0085] The device embodiments described above are only illustrative, wherein the modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, i.e., can be located in one place or distributed to multiple network modules. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0086] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software and the necessary general hardware platform, and of course, can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, a magnetic disk storage, a magnetic tape storage, or any other computer readable medium that can be used to carry or store data.

[0087] It should be pointed out finally that the above-described embodiments only disclose the preferred embodiments of the present application and are only used for illustrating the technical solutions of the present application but not for limiting the same. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified or some technical features thereof can be replaced equivalently, and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An adaptive control method for an intelligent constraint system, characterized in that, The method includes: For any target object to be monitored, the first multi-dimensional information corresponding to the target object is collected. The first multi-dimensional information includes at least the current physiological state parameters of the target object, the current state parameters of the key body parts of the target object, and the current state parameters of the related body parts of the key body parts. Based on the target state information corresponding to the target object, it is determined whether the target object currently meets the adaptive constraint triggering condition. If it is determined that the target object currently meets the adaptive constraint triggering condition, then the second multi-dimensional information corresponding to the target object is collected. The target state information includes at least some or all of the state parameters in the first multi-dimensional information. The second multi-dimensional information includes at least the triggering condition for the target object to wear the intelligent constraint device, the current scene in which the target object is located, and the multi-dimensional movement parameters corresponding to the key body parts. Based on the second multi-dimensional information and the determined target body parts to be constrained, and combined with the pre-trained convergent intelligent constraint control model, target constraint control parameters for the target body parts of the intelligent constraint device worn by the target object are generated. Based on the target constraint control parameters, the intelligent constraint device worn by the target object is controlled to perform matching constraint operations on the target body parts.

2. The adaptive control method for an intelligent constraint system according to claim 1, characterized in that, The method further includes: When it is determined that the target object currently meets the adaptive constraint triggering condition, the first influence weight of the key body part on the target object's current satisfaction of the adaptive constraint triggering condition and the second influence weight of the related body part on the target object's current satisfaction of the adaptive constraint triggering condition are determined according to the current state parameters of the key body part and the current state parameters of the associated body part. Based on the first influence weight and the second influence weight, the target body part of the target object that needs to be constrained in this instance is determined.

3. The adaptive control method for an intelligent constraint system according to claim 2, characterized in that, After the target body part is determined, before controlling the smart constraint device worn by the target object to perform matching constraint operations on the target body part according to the target constraint control parameters, the method further includes: Based on the current state parameters of the target body part, analyze the tolerance of the target body part to the constraint force corresponding to the target constraint control parameters; If the tolerance level is greater than or equal to the preset tolerance threshold, then the step of controlling the intelligent restraint device worn by the target object to perform matching restraint operations on the target body parts according to the target restraint control parameters is executed. If the tolerance level is less than the preset tolerance threshold, then based on the current state parameters of the target body part and the tolerance level, the target constraint control parameters are adjusted to update the target constraint control parameters, and the step of controlling the intelligent constraint device worn by the target object to perform matching constraint operations on the target body part according to the target constraint control parameters is executed; and / or, If the tolerance level is less than the preset tolerance threshold, then an auxiliary restraint body part is determined from the adjacent body parts of the target body part, and the target body part is updated according to the auxiliary restraint body part, or the target body part and the target restraint control parameters are updated according to the auxiliary restraint body part, and the step of controlling the intelligent restraint device worn by the target object to perform matching restraint operations on the target body part according to the target restraint control parameters is executed.

4. The adaptive control method for an intelligent constraint system according to claim 2 or 3, characterized in that, The process of determining the target body part of the target object to be constrained based on the first influence weight and the second influence weight includes: Based on the first influence weight and the second influence weight, the candidate body parts to be constrained in this case are determined; When there is only one candidate body part, the candidate body part is determined as the target body part of the target object that needs to be constrained in this case. When the candidate body parts are not unique, the third multi-dimensional information corresponding to each candidate body part is analyzed. The third multi-dimensional information includes the degree of influence of the candidate body parts on the normal necessary activities of the target object after being constrained, the degree of effective constraint of the candidate body parts on the key body parts after being constrained, and the constraint complexity of the candidate body parts. Based on the third multi-dimensional information corresponding to each of the candidate body parts, the target body part of the target object that needs to be constrained in this instance is determined from all the candidate body parts. The degree of effective constraint exerted on the key body part by the selected body part after it is constrained is determined based on the constraint efficiency and effect of the selected body part on the key body part after it is constrained.

5. The adaptive control method for an intelligent constraint system according to claim 4, characterized in that, The process of determining the target body part of the target object to be constrained in this instance from all the candidate body parts based on the third multi-dimensional information corresponding to each candidate body part includes: For each candidate body part, the initial cost parameters of the intelligent constraint device facing the candidate body part are calculated based on the degree of influence and constraint complexity in the third multi-dimensional information corresponding to the candidate body part; and the initial cost parameters of the intelligent constraint device facing the candidate body part are corrected based on the degree of effective constraint in the third multi-dimensional information corresponding to the candidate body part, so as to obtain the target cost parameters of the intelligent constraint device facing the candidate body part. Based on the target cost parameter of each candidate body part, the candidate body part with the minimum target cost parameter is selected from all the candidate body parts and used as the target body part of the target object to be constrained in this case.

6. The adaptive control method for an intelligent constraint system according to any one of claims 1, 2, 3, and 5, characterized in that, The method further includes: After determining the target constraint control parameters, based on the target constraint control parameters, it is determined whether the intelligent auxiliary device used to carry or support the target object in the current scene where the target object is located meets the constraint auxiliary conditions when the intelligent constraint device constrains the target body parts; When the intelligent auxiliary device meets the constraint assistance conditions, during the process of controlling the intelligent constraint device worn by the target object to perform matching constraint operations on the target body parts, the intelligent auxiliary device is controlled to perform constraint assistance operations.

7. The adaptive control method for an intelligent constraint system according to claim 6, characterized in that, The method further includes: During the process of controlling the smart restraint device worn by the target object to perform matching restraint operations on the target body parts, the smart restraint device and / or other associated auxiliary devices worn by the target object are controlled to perform restraint guidance operations on the target body parts; Wherein, the intelligent restraint device and / or other associated auxiliary devices worn by the target object perform restraint guidance operations on the target body parts, including: Determine the constraint guidance control parameters based on the current state of the target object; Based on the constraint guidance control parameters, the intelligent constraint device and / or other associated auxiliary devices worn by the target object are controlled to perform constraint guidance operations on the target body parts.

8. An intelligent constraint system, characterized in that, The intelligent constraint system includes: The acquisition module is used to acquire first multi-dimensional information corresponding to any target object to be monitored. The first multi-dimensional information includes at least the current physiological state parameters of the target object, the current state parameters of the key body parts of the target object, and the current state parameters of the associated body parts of the key body parts. The judgment module is used to determine whether the target object currently meets the adaptive constraint triggering condition based on the target state information corresponding to the target object; wherein, the target state information includes at least some or all of the state parameters in the first multi-dimensional information; The acquisition module is further configured to acquire second multi-dimensional information corresponding to the target object when the judgment module determines that the target object currently meets the adaptive constraint triggering condition; the second multi-dimensional information includes at least the triggering condition for the target object to wear the intelligent constraint device, the current scene in which the target object is located, and the multi-dimensional movement parameters corresponding to the key body parts; The constraint control module is used to generate target constraint control parameters for the target body part of the intelligent constraint device worn by the target object based on the second multi-dimensional information and the determined target body part to be constrained, combined with a pre-trained and converged intelligent constraint control model; and to control the intelligent constraint device worn by the target object to perform matching constraint operations on the target body part based on the target constraint control parameters.

9. An intelligent constraint system, characterized in that, The intelligent constraint system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the adaptive control method of the intelligent constraint system as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the adaptive control method of the intelligent constraint system as described in any one of claims 1-7.

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