CN-120241346-B - Training method and system based on intelligent traction net rack

CN120241346BCN 120241346 BCN120241346 BCN 120241346BCN-120241346-B

Abstract

The invention relates to the technical field of rehabilitation training, in particular to a training method and system based on an intelligent traction net rack. The method comprises the steps of collecting the tensile force born by a target rope, judging whether the tensile force reaches a preset value, tightening the target rope if the tensile force does not reach the preset value, stopping tightening the target rope if the tensile force does not reach the preset value, recording the maximum height of the target rope when a user pulls a second part by using a first part, collecting the height of the target rope when the user pulls the target rope in the training process, judging whether the height is larger than or equal to a reference height, recording the training success times of the user if the training is successful, and counting the training success times of the user, wherein the reference height is positively correlated with the maximum height. By the method, the training effect and the training safety of the user can be improved.

Inventors

HE CHUAN
Xin Huanling
LI HAOWEI
LIAO ZHICHENG
Cui Rongxu
JIN XIAOTING

Assignees

河南翔宇医疗设备股份有限公司

Dates

Publication Date: 20260505
Application Date: 20250311

Claims (7)

1. A training system based on an intelligent traction grid, comprising a processor and a memory, the memory storing computer program instructions that when executed by the processor implement a training method based on an intelligent traction grid, the method comprising: Collecting the tensile force born by a target rope; Judging whether the tension reaches a preset value, if not, tightening the target rope, and if so, stopping tightening the target rope; recording the maximum height of the target rope pulled when the user pulls the second part by using the first part; Collecting the height of the target rope when the target rope is pulled in the training process of a user; Judging whether the height is larger than or equal to a reference height, if so, recording the height as training success, and counting the training success times of the user, wherein the reference height is positively correlated with the maximum height; the calculation expression of the reference height is as follows: ; In the formula, As a result of the reference height, For correction coefficients, k has a value in the range of 0 to 1, Is the maximum height; and if the difference between the training times of the previous group of training and the training times of the current group of training is greater than a second threshold, reducing the reference height or shortening the single group of training time.
2. The intelligent traction grid based training system of claim 1, wherein the tension and the altitude are collected by sensors.
3. The intelligent traction grid-based training system of claim 1, further comprising adjusting the correction factor based on a ratio of training success times to total training times within a predetermined period of time.
4. The intelligent traction grid based training system of claim 1, further comprising determining a training system for the user based on the diseased portion information of the user prior to training, wherein the training system comprises active training and passive training.
5. The intelligent traction grid based training system of claim 4, wherein the correction factor for the current training is maintained unchanged and the maximum height is a preset height in response to the training system being the passive training.
6. The intelligent traction grid based training system of claim 1 further comprising displaying or broadcasting the height, the baseline height.
7. The intelligent traction grid based training system of claim 1 further comprising outputting a training report, the training report including at least the number of training successes.

Description

Training method and system based on intelligent traction net rack Technical Field The invention relates to the technical field of rehabilitation training. More particularly, the invention relates to a training method and system based on an intelligent traction net rack. Background The traction net rack is an auxiliary device widely applied in the field of medical rehabilitation, and as shown in fig. 1, the traction net rack mainly comprises a bed body, a net rack and traction accessories. The user can carry out traction training on specific parts of the body through the traction net rack, so as to realize joint activity exercise, muscle exercise, relaxation adjustment training and the like, thereby improving limb functions. However, the length of the rope/traction wire of the existing traction net rack cannot be automatically adjusted according to the actual situation of the user, and is generally set by a rehabilitation engineer according to experience, and is easily influenced by subjective factors. In addition, the difficulty of training is also set by rehabilitation person or by oneself, and setting difficulty is too low probably to lead to training effect poor, perhaps the degree of difficulty of setting is too high, and the user appears tired condition easily, has influenced training efficiency. Therefore, how to set the corresponding training difficulty and the length of the traction wire according to the actual situation of the user so as to improve the training effect is a problem to be solved urgently. Disclosure of Invention In order to solve the above-mentioned technical problem of the training effect using the traction grid, the present invention provides the following aspects. In a first aspect, the invention provides a training method based on an intelligent traction net rack, which comprises the steps of collecting the tensile force born by a target rope, judging whether the tensile force reaches a preset value, if not, tightening the target rope, if not, stopping tightening the target rope, recording the maximum height of the target rope pulled by a user when the target rope is pulled by a first part and a second part, collecting the height of the target rope pulled by the user in the training process, judging whether the height is greater than or equal to a reference height, if so, recording the training success times of the user, and counting the training success times of the user, wherein the reference height is positively correlated with the maximum height. Further, the pulling force and the height are collected by a sensor. Further, the calculation expression of the reference height is: h=k×hmax; Wherein h is the reference height, k is a correction coefficient, and h max is the maximum height. Further, the method further comprises the step of adjusting the correction coefficient according to the proportion of the training success times to the total training times in the preset time period. Further, the method of the invention further comprises the step of adjusting the correction coefficient or the training time according to the historical training times and the current training times. Further, before training, the method for training the user is further determined according to the diseased part information of the user, and comprises active training and passive training. Further, in response to the training method being the passive training, the correction coefficient of the current training is kept unchanged, and the maximum height is a preset height. Further, the method of the invention further comprises displaying or broadcasting the height and the reference height. Further, the method of the invention further comprises outputting a training report, wherein the training report at least comprises the training success times. In a second aspect, the present invention provides an intelligent traction grid based training system comprising a processor and a memory, the memory storing computer program instructions that when executed by the processor implement a training method based on an intelligent traction grid as described in the first aspect. The method has the beneficial effects that the length of the traction rope is automatically adjusted according to the conditions of different users, so that the users can effectively train based on the length during training, the safety problem caused by overlong or too short traction wire is avoided, and the safety of the training of the users is ensured. Further, after the actual condition (maximum height) of the user is evaluated, the training difficulty suitable for the user is matched, the user is ensured to perform safe and effective training within the self capacity range, and the training effect is improved. In addition, the reference height or training difficulty is dynamically adjusted according to the training condition of the user, so that the training intensity is further optimized, the self capacity of the user is more met, and the