Performance monitoring method of tooth protector based on bite force sensor

Abstract

The present invention relates to the technical field of bite force abnormality monitoring, and in particular to a method for monitoring the performance of a tooth protector based on a bite force sensor, the method comprising: collecting bite force data at each collection moment in each monitoring time period in the current time period through a bite force sensor installed on the tooth protector; determining a high load assessment factor of the tooth protector in each monitoring time period; screening out abnormal bite sub-time periods from each monitoring time period; determining a bite duration factor and a wear assessment factor in each monitoring time period; determining a performance abnormality index of the tooth protector at the current moment according to the high load assessment factor and the wear assessment factor in all monitoring time periods; and monitoring the performance of the tooth protector according to the performance abnormality index. The present invention realizes performance monitoring of the tooth protector by performing abnormal monitoring of the bite force, thereby improving the efficiency of monitoring the performance of the tooth protector.

Description

Technical Field

[0001] The present invention relates to the technical field of bite force abnormality monitoring, and in particular to a method for monitoring the performance of a tooth protector based on a bite force sensor. Background Art

[0002] Tooth protectors, also known as tooth retainers, are generally used to maintain the position of teeth in the alveolar socket after teeth correction and are removed after the alveolar bone reconstruction is completed. During use, the performance of tooth protectors may become abnormal due to improper bite force and other reasons. Therefore, it is very important to monitor the performance of tooth protectors. At present, the method commonly used to monitor the performance of tooth protectors is regular inspection, such as sending them to the hospital for regular inspection.

[0003] However, when monitoring the performance of dental protectors by sending them to hospitals for regular inspections, the following technical problems often occur:

[0004] Since the process of sending the tooth protector to the hospital regularly is relatively cumbersome, and the performance of the tooth protector may be abnormal during use but it is not yet time for regular inspection, this performance abnormality may be difficult to detect in time, resulting in poor efficiency in monitoring the performance of the tooth protector. Summary of the invention

[0005] In order to solve the technical problem of poor efficiency in monitoring the performance of a tooth protector, the present invention proposes a method for monitoring the performance of a tooth protector based on a bite force sensor.

[0006] In a first aspect, the present invention provides a method for monitoring the performance of a tooth protector based on a bite force sensor, the method comprising:

[0007] The bite force sensor installed on the tooth protector collects the bite force data at each collection moment in each monitoring time period in the current time period;

[0008] According to the fluctuation of the bite force data in each monitoring period and the distribution of the maximum values ​​of all the bite force data in each monitoring period, the high load evaluation factor of the tooth protector in each monitoring period is determined;

[0009] According to the bite force data at all acquisition moments in each monitoring time period, abnormal bite sub-time periods are screened out from each monitoring time period;

[0010] Determine the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period;

[0011] Determine the wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period;

[0012] Determine the abnormal performance index of the tooth protector at the current moment according to the high load assessment factor and the wear assessment factor in all monitoring time periods;

[0013] The performance of the tooth protector is monitored according to the abnormal performance index.

[0014] In combination with the first aspect above, in a possible implementation, determining the high load evaluation factor of the tooth protector in each monitoring time period according to the fluctuation of the bite force data in each monitoring time period and the distribution of the maximum values ​​in all the bite force data in each monitoring time period includes:

[0015] The variance of all bite force data in each monitoring period is determined as a bite fluctuation factor in each monitoring period, wherein the bite fluctuation factor is used to characterize the fluctuation between bite force data;

[0016] According to the bite fluctuation factor in each monitoring period, the change fluctuation degree in each monitoring period is determined, wherein the bite fluctuation factor is positively correlated with the change fluctuation degree;

[0017] Determine each maximum value in all bite force data in each monitoring time period as a target maximum value, and obtain a target maximum value sequence corresponding to each monitoring time period;

[0018] The high load assessment factor for each monitoring time period is determined based on the degree of change fluctuation in each monitoring time period, the duration between the collection moments corresponding to adjacent target maxima in the target maximum sequence corresponding to each monitoring time period, and the size of all target maxima in the target maximum sequence corresponding to each monitoring time period.

[0019] In combination with the first aspect above, in a possible implementation, determining the degree of change fluctuation in each monitoring time period according to the bite fluctuation factor in each monitoring time period includes:

[0020] The information entropy of all bite force data in each monitoring period is determined as the degree of data confusion in each monitoring period;

[0021] The product of the bite fluctuation factor and the data confusion degree in each monitoring period is determined as the change fluctuation degree in each monitoring period.

[0022] In combination with the first aspect above, in a possible implementation, determining the high load assessment factor for each monitoring time period according to the degree of change fluctuation in each monitoring time period, the duration between the collection moments corresponding to adjacent target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, and the size of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period includes:

[0023] The average time length between the acquisition moments corresponding to all adjacent target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period is determined as the bite fluctuation rate factor under each monitoring time period;

[0024] The high load assessment factor for each monitoring time period is determined according to the size of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, as well as the change fluctuation degree and bite fluctuation rate factor for each monitoring time period.

[0025] In combination with the first aspect above, in a possible implementation, the formula corresponding to the high load assessment factor in the monitoring time period is:

[0026] ;

[0027] ;

[0028] ;in, is the high load assessment factor under the i-th monitoring time period; i is the sequence number of the monitoring time period in the current time period; represents the bite strength in the i-th monitoring period; is the degree of fluctuation in the i-th monitoring period; is a natural exponential function; is the bite fluctuation rate factor in the i-th monitoring period; is the number of target maxima in the target maximum sequence corresponding to the i-th monitoring time period; j is the sequence number of the target maximum in the target maximum sequence corresponding to the i-th monitoring time period; is the jth target maximum value in the target maximum value sequence corresponding to the i-th monitoring time period; U is the maximum bite force that the tooth protector can withstand; It is the duration between the collection time corresponding to the jth target maximum value and the collection time corresponding to the j+1th target maximum value in the target maximum value sequence corresponding to the i-th monitoring time period.

[0029] In combination with the first aspect above, in a possible implementation, the step of screening out abnormal bite sub-time periods from each monitoring time period according to bite force data at all acquisition moments in each monitoring time period includes:

[0030] If the bite force data is greater than a preset bite force threshold, the collection time corresponding to the bite force data is determined as an abnormal time;

[0031] A sub-time period formed by continuous abnormal moments in each monitoring time period is determined as an abnormal occlusion sub-time period.

[0032] In combination with the first aspect above, in a possible implementation, determining the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period includes:

[0033] The average of the durations corresponding to all abnormal occlusal sub-periods in each monitoring period is determined as the target average for each monitoring period;

[0034] The range of the duration corresponding to all abnormal occlusal sub-time periods within each monitoring time period is determined as the target range for each monitoring time period;

[0035] The product of the target mean and the target range in each monitoring time period is determined as the bite duration factor in each monitoring time period.

[0036] In combination with the first aspect, in a possible implementation, determining the wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period includes:

[0037] The average of the time intervals between all adjacent abnormal occlusal sub-time periods in each monitoring time period is determined as the abnormal duration variation factor in each monitoring time period;

[0038] According to the occlusion duration factor and the abnormal duration change factor in each monitoring time period, the wear assessment factor in each monitoring time period is determined, wherein the occlusion duration factor is positively correlated with the wear assessment factor, and the abnormal duration change factor is negatively correlated with the wear assessment factor.

[0039] In combination with the first aspect above, in a possible implementation, determining the abnormal performance index of the tooth protector at the current moment according to the high load assessment factor and the wear assessment factor in all monitoring time periods includes:

[0040] Determine the average of the high load assessment factors in all monitoring time periods within the current time period as the current high load representative indicator;

[0041] Determine the average of the wear assessment factors in all monitoring time periods within the current time period as the current wear representative factor;

[0042] The product of the current high load representative index and the current wear representative factor is normalized to obtain the performance abnormality index of the tooth protector at the current moment.

[0043] In combination with the first aspect above, in a possible implementation, monitoring the performance of the tooth protector according to the abnormal performance indicator includes:

[0044] If the performance abnormality index is greater than a preset abnormality threshold, it is determined that the performance of the tooth protector is abnormal.

[0045] In a second aspect, the present invention provides a tooth protector performance monitoring system based on a bite force sensor, the system comprising:

[0046] A data acquisition module, used to collect bite force data at each acquisition moment in each monitoring time period in the current time period through a bite force sensor installed on the tooth protector;

[0047] A high load assessment factor determination module is used to determine the high load assessment factor of the tooth protector in each monitoring time period according to the fluctuation between the bite force data in each monitoring time period and the distribution between the maximum values ​​of all the bite force data in each monitoring time period;

[0048] A sub-time period screening module is used to screen out abnormal bite sub-time periods from each monitoring time period according to bite force data at all acquisition moments in each monitoring time period;

[0049] An occlusion duration factor determination module, used to determine the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period;

[0050] A wear assessment factor determination module, used to determine the wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period;

[0051] A performance abnormality index determination module, used to determine the performance abnormality index of the tooth protector at the current moment according to the high load evaluation factor and the wear evaluation factor in all monitoring time periods;

[0052] The tooth protector performance monitoring module is used to monitor the performance of the tooth protector according to the abnormal performance index.

[0053] In a third aspect, a server is provided, comprising a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the device executes the method in the first aspect or any possible implementation of the first aspect.

[0054] In a fourth aspect, a computer program product is provided, comprising: a computer program code, which, when executed on a computer, enables the computer to execute the method in the first aspect or any possible implementation of the first aspect.

[0055] In a fifth aspect, a computer-readable storage medium is provided, which stores a computer program code. When the computer program code runs on a computer, the computer executes the method in the above-mentioned first aspect or any possible implementation manner of the first aspect.

[0056] The present invention has the following beneficial effects:

[0057] The tooth protector performance monitoring method based on the bite force sensor of the present invention realizes the performance monitoring of the tooth protector by monitoring the bite force abnormality, solves the technical problem of poor efficiency of the tooth protector performance monitoring, and thus improves the efficiency of the tooth protector performance monitoring. Compared with the regular performance monitoring of the tooth protector, the present invention collects the bite force data in the current time period in real time, and quantifies the high load evaluation factor, bite duration factor and wear evaluation factor of the tooth protector in each monitoring time period, thereby quantifying the performance abnormality index of the tooth protector at the current moment in real time, realizing the real-time monitoring of the performance of the tooth protector, and thus improving the efficiency of the performance monitoring of the tooth protector. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 It is a flow chart of the method for monitoring the performance of a tooth protector based on a bite force sensor of the present invention;

[0060] Figure 2 It is a schematic diagram of the composition structure of the tooth protector performance monitoring system based on the bite force sensor of the present invention;

[0061] Figure 3 The figure is a schematic diagram of the structure of a computer device of the present invention. DETAILED DESCRIPTION

[0062] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the technical solutions proposed by the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0063] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0064] refer to Figure 1 , shows the process of some embodiments of the method for monitoring the performance of a tooth protector based on a bite force sensor according to the present invention. The method for monitoring the performance of a tooth protector based on a bite force sensor comprises the following steps:

[0065] Step S1, collecting bite force data at each collection moment in each monitoring time period in the current time period through a bite force sensor installed on the tooth protector.

[0066] Among them, the tooth protector, also known as the tooth retainer, is generally a protective device that maintains the position of the teeth in the alveolar socket after the teeth are corrected and is removed after the alveolar bone reconstruction is completed. The bite force sensor can be a force sensor for collecting bite force. For example, the force sensor can be but is not limited to: a pressure sensor, a strain gauge, and a piezoelectric sensor. The current time period can be a pre-set period of time with the current moment as the end moment, and the corresponding duration can be 30 minutes. The monitoring time period can be a sub-time period obtained by dividing the current time period into equal parts, and the corresponding duration can be less than the duration corresponding to the current time period. For example, if the duration corresponding to the current time period is 30 minutes and the duration corresponding to the monitoring time period is 10 minutes, the current time period can be divided into 3 monitoring time periods. The collection time can be the time when the bite force data is collected. The bite force data can represent the bite force. The bite force refers to the chewing pressure generated by the contraction of the masticatory muscles when the upper and lower teeth come into contact.

[0067] As an example, during the use of the tooth protector, the bite force sensor installed on the tooth protector can collect bite force every 1 second in each monitoring time period as bite force data, and the time when the bite force data is collected each time is recorded as the collection time.

[0068] Step S2, determining the high load evaluation factor of the tooth protector in each monitoring time period according to the fluctuation of the bite force data in each monitoring time period and the distribution of the maximum values ​​in all the bite force data in each monitoring time period.

[0069] The maximum value among all the bite force data within the monitoring time period may be a maximum value on a curve obtained by performing curve fitting on all the bite force data within the monitoring time period.

[0070] As an example, this step may include the following steps:

[0071] In the first step, the variance of all bite force data in each monitoring period is determined as the bite fluctuation factor in each monitoring period.

[0072] Among them, the bite fluctuation factor can be used to characterize the fluctuation between bite force data.

[0073] The second step is to determine the degree of change fluctuation in each monitoring time period based on the bite fluctuation factor in each monitoring time period.

[0074] Among them, the bite fluctuation factor can be positively correlated with the degree of change fluctuation.

[0075] For example, determining the degree of fluctuation of changes in each monitoring time period may include the following sub-steps:

[0076] In the first sub-step, the information entropy of all bite force data in each monitoring time period is determined as the degree of data confusion in each monitoring time period.

[0077] In the second sub-step, the product of the bite fluctuation factor and the data confusion degree in each monitoring time period is determined as the change fluctuation degree in each monitoring time period.

[0078] For example, the formula for determining the degree of change fluctuation during the monitoring period can be:

[0079] ;in, is the degree of change fluctuation in the i-th monitoring time period. i is the serial number of the monitoring time period in the current time period. It is the degree of data confusion in the i-th monitoring period, that is, the information entropy of all bite force data in the i-th monitoring period. is the bite fluctuation factor in the ith monitoring period, that is, the variance of all bite force data in the ith monitoring period.

[0080] It should be noted that in actual situations, the bite force distribution during normal occlusion is often relatively stable and uniform, which makes it less likely to damage the tooth protector and the performance of the tooth protector. When the value is larger, it often indicates that the bite force changes in the i-th monitoring period are relatively chaotic, which often indicates that there is a greater possibility of abnormal bite in the i-th monitoring period. When is larger, it often indicates that the bite force fluctuation in the i-th monitoring period is relatively larger, which often indicates that there is a greater possibility of abnormal bite in the i-th monitoring period. The larger the value, the more likely it is that an abnormal occlusion exists during the i-th monitoring period, and the more likely it is that the performance of the tooth protector is damaged during the i-th monitoring period.

[0081] In the third step, each maximum value in all bite force data in each monitoring time period is determined as the target maximum value, and the target maximum value sequence corresponding to each monitoring time period is obtained.

[0082] For example, all target maximum values ​​within the monitoring time period can be sorted in order from early to late according to the collection time corresponding to the target maximum value within the monitoring time period. The sequence obtained at this time is recorded as the target maximum value sequence corresponding to the monitoring time period.

[0083] The fourth step is to determine the high load assessment factor for each monitoring time period according to the degree of fluctuation in each monitoring time period, the duration between the collection moments corresponding to adjacent target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, and the size of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, which may include the following sub-steps:

[0084] In the first sub-step, the average duration between the acquisition moments corresponding to all adjacent target maxima in the target maximum sequence corresponding to each monitoring time period is determined as the bite fluctuation rate factor for each monitoring time period.

[0085] In the second sub-step, the high load assessment factor for each monitoring time period is determined according to the size of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, as well as the variation fluctuation degree and bite fluctuation rate factor for each monitoring time period.

[0086] For example, the formula for determining the high load assessment factor during the monitoring period can be:

[0087] ;

[0088] ;

[0089] ;in, is the high load assessment factor under the i-th monitoring time period. i is the sequence number of the monitoring time period in the current time period. Represents the bite strength in the i-th monitoring period. is the degree of fluctuation in the i-th monitoring period. is a natural exponential function. is the bite fluctuation rate factor in the i-th monitoring period. is the number of target maxima in the target maximum sequence corresponding to the i-th monitoring period. j is the sequence number of the target maximum in the target maximum sequence corresponding to the i-th monitoring period. is the jth target maximum value in the target maximum value sequence corresponding to the i-th monitoring time period. U is the maximum bite force that the tooth protector can withstand. It is the duration between the collection time corresponding to the jth target maximum value and the collection time corresponding to the j+1th target maximum value in the target maximum value sequence corresponding to the i-th monitoring time period.

[0090] It should be noted that, in actual situations, the greater the bite force, especially when it is higher than the maximum bite force that the tooth protector can withstand, the more likely it is to damage the performance of the tooth protector. When the value is larger, it often indicates that there is a greater possibility of bite force data higher than the maximum bite force that the tooth protector can withstand during the i-th monitoring period, which often indicates that the performance of the tooth protector is more likely to be damaged during the i-th monitoring period. When the value is larger, it often indicates that the occlusal distribution in the i-th monitoring period is relatively uneven, which often indicates that there is a greater possibility of abnormal occlusion in the i-th monitoring period, and the performance of the tooth protector is more likely to be damaged in the i-th monitoring period. The smaller it is, the shorter the time between the acquisition moments corresponding to the adjacent target maxima in the i-th monitoring period is, the faster the change rate of the bite force is, the higher the bite frequency is, the more likely there is abnormal bite in the i-th monitoring period, and the more likely the performance of the tooth protector is to be damaged in the i-th monitoring period. The larger it is, it often indicates that the bite strength in the i-th monitoring time period may be greater, the bite distribution may be relatively uneven, and the bite frequency may be relatively high; it often indicates that the tooth protector is more likely to be in a high-load working state in the i-th monitoring time period, and it often indicates that the performance of the tooth protector is more likely to be damaged in the i-th monitoring time period.

[0091] Step S3, based on the bite force data at all acquisition moments in each monitoring time period, filter out abnormal bite sub-time periods from each monitoring time period.

[0092] As an example, this step may include the following steps:

[0093] In the first step, if the bite force data is greater than a preset bite force threshold, the collection time corresponding to the bite force data is determined as an abnormal time.

[0094] The preset bite force threshold may be a preset threshold for determining whether the bite force is abnormal. For example, the preset bite force threshold may be the maximum bite force that the tooth protector can withstand.

[0095] In the second step, the sub-time period formed by the continuous abnormal moments in each monitoring time period is determined as the abnormal occlusion sub-time period.

[0096] For example, if a monitoring time period includes 9 acquisition moments, which are the first normal moment, the second normal moment, the third abnormal moment, the fourth normal moment, the fifth abnormal moment, the sixth abnormal moment, the seventh abnormal moment, the eighth normal moment and the ninth normal moment, then the monitoring time period can obtain two abnormal bite sub-time periods, wherein the first abnormal bite sub-time period can include the third abnormal moment; the second abnormal bite sub-time period can include the fifth abnormal moment, the sixth abnormal moment and the seventh abnormal moment. Among them, the first normal moment, the second normal moment, the fourth normal moment, the eighth normal moment and the ninth normal moment can be the acquisition moments when the corresponding bite force data is less than or equal to the preset bite force threshold. The third abnormal moment, the fifth abnormal moment, the sixth abnormal moment and the seventh abnormal moment can be the acquisition moments when the corresponding bite force data is greater than the preset bite force threshold.

[0097] Step S4, determining the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period.

[0098] The duration corresponding to the abnormal occlusion sub-time period may be represented by the number of acquisition moments within the abnormal occlusion sub-time period.

[0099] As an example, this step may include the following steps:

[0100] In the first step, the mean of the durations corresponding to all abnormal occlusal sub-time periods within each monitoring time period is determined as the target mean value for each monitoring time period.

[0101] In the second step, the range of the duration corresponding to all abnormal occlusal sub-time periods within each monitoring time period is determined as the target range for each monitoring time period.

[0102] In the third step, the product of the target mean and the target range in each monitoring time period is determined as the bite duration factor in each monitoring time period.

[0103] For example, if the number of abnormal occlusion sub-time periods in the i-th monitoring time period is 0 or greater than 1, the formula for determining the occlusion duration factor in the i-th monitoring time period may be:

[0104] ;

[0105] ;in, is the occlusion duration factor under the i-th monitoring time period. i is the serial number of the monitoring time period in the current time period. is the target mean value in the i-th monitoring period. It is the maximum value among the durations corresponding to all abnormal occlusion sub-time periods within the i-th monitoring time period. It is the minimum value of the duration corresponding to all abnormal occlusion sub-time periods within the i-th monitoring time period. is the target range in the i-th monitoring period. is the number of abnormal occlusal sub-periods in the ith monitoring period. a is the sequence number of the abnormal occlusal sub-period in the ith monitoring period. is the duration corresponding to the ath abnormal occlusion sub-period in the i-th monitoring time period.

[0106] It should be noted that the abnormal occlusion sub-time period may represent a time period during which abnormal occlusion occurs. When the value is larger, it often indicates that the total duration of abnormal bite in the i-th monitoring period is relatively longer, which often indicates that the duration of abnormal bite in the i-th monitoring period is longer, which often indicates that the performance of the tooth protector is more likely to be damaged in the i-th monitoring period. When the value is larger, it often means that the difference between the abnormal bite durations in the i-th monitoring period is relatively larger, which often means that the distribution of abnormal bite durations in the i-th monitoring period is relatively more chaotic, which often means that abnormal bites are more likely to occur from time to time in the i-th monitoring period, and the degree of abnormal bite differentiation is relatively large, which often means that the performance of the tooth protector is more likely to be damaged in the i-th monitoring period. The larger the value is, the more likely it is that the performance of the tooth protector will be damaged during the i-th monitoring time period.

[0107] For another example, if the number of abnormal occlusion sub-time periods in the i-th monitoring time period is equal to 1, the formula for determining the occlusion duration factor in the i-th monitoring time period can be: .

[0108] It should be noted that one abnormal bite sub-time period can represent one abnormal bite event. In actual situations, when an abnormal bite occurs, the bite force fluctuation is often large, which often leads to the formation of multiple abnormal bite events. Therefore, if there are abnormal bite events in a time period, the number of abnormal bite events is often more than 1.

[0109] Step S5, determining the wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period.

[0110] The abnormal occlusion sub-time periods within the monitoring time period may be ordered, and the abnormal occlusion sub-time periods within the monitoring time period may be sorted in order from early to late according to the last acquisition moment included in the abnormal occlusion sub-time period, and the sequence obtained at this time may be recorded as the abnormal occlusion sub-time period sequence corresponding to the monitoring time period. Adjacent abnormal occlusion sub-time periods within the monitoring time period may be adjacent in their corresponding abnormal occlusion sub-time period sequence. The time interval between the abnormal occlusion sub-time periods may be equal to the duration between the last acquisition moment included in the abnormal occlusion sub-time period.

[0111] As an example, this step may include the following steps:

[0112] In the first step, the mean of the time intervals between all adjacent abnormal occlusion sub-time periods in each monitoring time period is determined as the abnormal duration variation factor in each monitoring time period.

[0113] In the second step, the wear assessment factor for each monitoring time period is determined based on the occlusion duration factor and abnormal duration change factor for each monitoring time period.

[0114] Among them, the occlusion duration factor may be positively correlated with the wear assessment factor, and the abnormal duration change factor may be negatively correlated with the wear assessment factor.

[0115] For example, if the number of abnormal occlusal sub-time periods in the i-th monitoring time period is 0 or greater than 1, the formula for determining the wear assessment factor in the i-th monitoring time period may be:

[0116] ;

[0117] ;in, is the wear assessment factor under the i-th monitoring time period. i is the serial number of the monitoring time period in the current time period. is the occlusion duration factor in the i-th monitoring period. is a natural exponential function. is the abnormal duration change factor in the i-th monitoring time period. is the number of abnormal occlusion sub-time periods in the ith monitoring time period. a is the sequence number of the abnormal occlusion sub-time period in the ith monitoring time period, which can be the sequence number obtained by arranging the abnormal occlusion sub-time periods in order from early to late according to the start time of the abnormal occlusion sub-time period. It is the time interval between the ath abnormal occlusion sub-time period and the a+1th abnormal occlusion sub-time period in the i-th monitoring time period, that is, the duration between the last acquisition moment included in the ath abnormal occlusion sub-time period and the last acquisition moment included in the a+1th abnormal occlusion sub-time period.

[0118] It should be noted that when The larger the value is, the more likely it is that the performance of the tooth protector will be damaged during the i-th monitoring period. The smaller the value, the more likely abnormal bites are to occur during the ith monitoring period, the more likely the tooth protector is to be worn during the ith monitoring period, and the more likely the performance of the tooth protector is to be damaged during the ith monitoring period. The larger the value is, the more likely it is that the performance of the tooth protector will be damaged during the i-th monitoring time period.

[0119] For another example, if the number of abnormal occlusion sub-time periods in the i-th monitoring time period is equal to 1, the formula for determining the wear assessment factor in the i-th monitoring time period may be: .

[0120] Step S6, determining the performance abnormality index of the tooth protector at the current moment according to the high load assessment factor and the wear assessment factor in all monitoring time periods.

[0121] As an example, this step may include the following steps:

[0122] In the first step, the average of the high load assessment factors in all monitoring time periods within the current time period is determined as the current high load representative indicator.

[0123] In the second step, the average of the wear assessment factors in all monitoring time periods within the current time period is determined as the current wear representative factor.

[0124] The third step is to normalize the product of the current high load representative index and the current wear representative factor to obtain the performance abnormality index of the tooth protector at the current moment.

[0125] For example, the formula for determining the performance abnormality index of the tooth protector at the current moment may be:

[0126] ; Wherein, L is the performance abnormality index of the tooth protector at the current moment. is a normalized function. f is the current high load representative index. w is the current wear representative factor.

[0127] It should be noted that when f or w is larger, it often indicates that the performance of the tooth protector is more likely to be damaged in the current time period. Therefore, when L is larger, it often indicates that the performance of the tooth protector is more likely to be damaged in the current time period, and it often indicates that the tooth protector is more likely to be damaged at the current moment, and its performance has deteriorated.

[0128] Step S7, monitoring the performance of the tooth protector according to the abnormal performance index.

[0129] As an example, if the above performance abnormality index is greater than a preset abnormality threshold, it can be determined that there is an abnormality in the performance of the teeth protector.

[0130] The preset abnormal threshold may be a preset threshold for determining whether there is an abnormality in the performance of the tooth protector, which may be 0.6.

[0131] It should be noted that, through the embodiments of the present invention, abnormalities of the teeth protector can be discovered in time, so that the teeth protector can be adjusted and maintained in time thereafter.

[0132] refer to Figure 2 Based on the same inventive concept as the above method embodiment, the present invention provides a tooth protector performance monitoring system based on a bite force sensor, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the above computer program is executed by the processor, the steps of implementing a tooth protector performance monitoring method based on a bite force sensor may specifically include:

[0133] The data collection module 201 is used to collect the bite force data at each collection moment in each monitoring time period in the current time period through the bite force sensor installed on the tooth protector;

[0134] A high load evaluation factor determination module 202, for determining a high load evaluation factor of the tooth protector in each monitoring time period according to fluctuations between bite force data in each monitoring time period and distribution between maximum values ​​in all bite force data in each monitoring time period;

[0135] The sub-time period screening module 203 is used to screen out abnormal bite sub-time periods from each monitoring time period according to the bite force data at all acquisition moments in each monitoring time period;

[0136] The occlusion duration factor determination module 204 is used to determine the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period;

[0137] A wear assessment factor determination module 205 is used to determine a wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period;

[0138] The performance abnormality index determination module 206 is used to determine the performance abnormality index of the tooth protector at the current moment according to the high load evaluation factor and the wear evaluation factor in all monitoring time periods;

[0139] The teeth protector performance monitoring module 207 is used to monitor the performance of the teeth protector according to the performance abnormality index.

[0140] Figure 3 is a schematic diagram of the structure of a computer device provided by an embodiment of the present invention. Figure 3 As shown, the computer device 300 includes: a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302, wherein when the processor 302 executes the computer program 303, the computer device can execute any one of the tooth protector performance monitoring methods based on bite force sensors introduced above.

[0141] Based on the same inventive concept as the above method embodiment, the present invention provides a server, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the device executes any of the above-mentioned methods for monitoring the performance of a tooth protector based on a bite force sensor.

[0142] Based on the same inventive concept as the above-mentioned method embodiment, the present invention provides a computer program product, which includes: computer program code, when the computer program code runs on a computer, enables the computer to execute any one of the above-mentioned tooth protector performance monitoring methods based on bite force sensors.

[0143] Based on the same inventive concept as the above-mentioned method embodiment, the present invention provides a computer-readable storage medium, which stores a computer program code. When the computer program code runs on a computer, the computer executes any one of the above-mentioned tooth protector performance monitoring methods based on a bite force sensor.

[0144] In summary, compared with regular performance monitoring of tooth protectors, the present invention collects the bite force data in the current time period in real time, and quantifies the high load assessment factor, bite duration factor and wear assessment factor of the tooth protector in each monitoring time period, thereby quantifying the abnormal performance indicators of the tooth protector at the current moment in real time, realizing real-time monitoring of the performance of the tooth protector, and thereby improving the efficiency of performance monitoring of the tooth protector.

[0145] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for monitoring the performance of a tooth protector based on a bite force sensor, characterized in that: The following steps are involved: The bite force sensor installed on the tooth protector collects the bite force data at each collection moment in each monitoring time period in the current time period; According to the fluctuation of the bite force data in each monitoring period and the distribution of the maximum values ​​of all the bite force data in each monitoring period, the high load evaluation factor of the tooth protector in each monitoring period is determined; According to the bite force data at all acquisition moments in each monitoring time period, abnormal bite sub-time periods are screened out from each monitoring time period; Determine the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period; Determine the wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period; Determine the abnormal performance index of the tooth protector at the current moment according to the high load assessment factor and the wear assessment factor in all monitoring time periods; Performing performance monitoring on the dental protector according to the abnormal performance indicators; Determining the high load evaluation factor of the tooth protector in each monitoring time period according to the fluctuation of the bite force data in each monitoring time period and the distribution of the maximum values ​​in all the bite force data in each monitoring time period includes: The variance of all bite force data in each monitoring period is determined as a bite fluctuation factor in each monitoring period, wherein the bite fluctuation factor is used to characterize the fluctuation between bite force data; According to the bite fluctuation factor in each monitoring period, the change fluctuation degree in each monitoring period is determined, wherein the bite fluctuation factor is positively correlated with the change fluctuation degree; Determine each maximum value in all bite force data in each monitoring time period as a target maximum value, and obtain a target maximum value sequence corresponding to each monitoring time period; Determine the high load assessment factor for each monitoring time period according to the degree of fluctuation in each monitoring time period, the duration between the collection moments corresponding to adjacent target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, and the size of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period; The high load assessment factor for each monitoring time period is determined according to the degree of change fluctuation in each monitoring time period, the duration between the collection moments corresponding to adjacent target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, and the size of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, including: The average time length between the acquisition moments corresponding to all adjacent target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period is determined as the bite fluctuation rate factor under each monitoring time period; According to the magnitudes of all target maximum values ​​in the target maximum value sequence corresponding to each monitoring time period, as well as the variation fluctuation degree and the bite fluctuation rate factor in each monitoring time period, the high load assessment factor in each monitoring time period is determined; The formula corresponding to the high load assessment factor during the monitoring period is: ； ； ;in, is the high load assessment factor under the i-th monitoring time period; i is the sequence number of the monitoring time period in the current time period; represents the bite strength in the i-th monitoring period; is the degree of fluctuation in the i-th monitoring period; is a natural exponential function; is the bite fluctuation rate factor in the i-th monitoring period; is the number of target maxima in the target maximum sequence corresponding to the i-th monitoring time period; j is the sequence number of the target maximum in the target maximum sequence corresponding to the i-th monitoring time period; is the jth target maximum value in the target maximum value sequence corresponding to the i-th monitoring time period; U is the maximum bite force that the tooth protector can withstand; It is the duration between the collection time corresponding to the jth target maximum value and the collection time corresponding to the j+1th target maximum value in the target maximum value sequence corresponding to the i-th monitoring time period.

2. A method for monitoring the performance of a tooth protector based on a bite force sensor according to claim 1, characterized in that: Determining the degree of change fluctuation in each monitoring time period according to the bite fluctuation factor in each monitoring time period includes: The information entropy of all bite force data in each monitoring period is determined as the degree of data confusion in each monitoring period; The product of the bite fluctuation factor and the data confusion degree in each monitoring period is determined as the change fluctuation degree in each monitoring period.

3. A method for monitoring the performance of a tooth protector based on a bite force sensor according to claim 1, characterized in that: The method of screening out abnormal bite sub-time periods from each monitoring time period according to the bite force data at all acquisition moments in each monitoring time period includes: If the bite force data is greater than a preset bite force threshold, the collection time corresponding to the bite force data is determined as an abnormal time; A sub-time period formed by continuous abnormal moments in each monitoring time period is determined as an abnormal occlusion sub-time period.

4. A method for monitoring the performance of a tooth protector based on a bite force sensor according to claim 1, characterized in that: Determining the occlusion duration factor in each monitoring time period according to the duration corresponding to the abnormal occlusion sub-time period in each monitoring time period includes: The average of the durations corresponding to all abnormal occlusal sub-periods in each monitoring period is determined as the target average for each monitoring period; The range of the duration corresponding to all abnormal occlusal sub-time periods within each monitoring time period is determined as the target range for each monitoring time period; The product of the target mean and the target range in each monitoring time period is determined as the bite duration factor in each monitoring time period.

5. The method for monitoring the performance of a tooth protector based on a bite force sensor according to claim 1, characterized in that: Determining the wear assessment factor in each monitoring time period according to the time interval between adjacent abnormal occlusion sub-time periods in each monitoring time period and the occlusion duration factor in each monitoring time period includes: The average of the time intervals between all adjacent abnormal occlusal sub-time periods in each monitoring time period is determined as the abnormal duration variation factor in each monitoring time period; According to the occlusion duration factor and the abnormal duration change factor in each monitoring time period, the wear assessment factor in each monitoring time period is determined, wherein the occlusion duration factor is positively correlated with the wear assessment factor, and the abnormal duration change factor is negatively correlated with the wear assessment factor.

6. A method for monitoring the performance of a tooth protector based on a bite force sensor according to claim 1, characterized in that: The method of determining the abnormal performance index of the tooth protector at the current moment according to the high load assessment factor and the wear assessment factor in all monitoring time periods includes: Determine the average of the high load assessment factors in all monitoring time periods within the current time period as the current high load representative indicator; Determine the average of the wear assessment factors in all monitoring time periods within the current time period as the current wear representative factor; The product of the current high load representative index and the current wear representative factor is normalized to obtain the performance abnormality index of the tooth protector at the current moment.

7. A method for monitoring the performance of a tooth protector based on a bite force sensor according to claim 1, characterized in that: The method of monitoring the performance of the tooth protector according to the abnormal performance indicator includes: If the performance abnormality index is greater than a preset abnormality threshold, it is determined that the performance of the tooth protector is abnormal.

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