CN117387909A - Medical optical instrument performance detection system - Google Patents
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Abstract
The invention discloses a medical optical instrument performance detection system, and belongs to the technical field of equipment monitoring analysis; the operation of the medical optical instrument is monitored and data statistics are carried out each time by operators with different operation identities, and each item of data of the monitoring statistics is processed and calculated to analyze and classify the single operation influence state of the operators, so that the influence of the medical optical instrument when operated each time can be intuitively obtained; the integral use state of the medical optical instrument is analyzed and classified by integrating operation monitoring data of the medical optical instrument each time in the monitoring period, so that the integral condition of the use loss of the medical optical instrument in the monitoring period can be intuitively and efficiently obtained; dynamically performing performance detection by monitoring an overall use state of the medical optical instrument during a period; the invention is used for solving the technical problems of incomplete implementation and monitoring and poor initiative detection of the performance detection of the optical instrument in the traditional scheme.
Description
Technical Field
The invention relates to the technical field of equipment monitoring and analysis, in particular to a medical optical instrument performance detection system.
Background
Medical optical instruments are optical devices used in medical diagnosis, treatment, and research, which use optical techniques such as reflection, refraction, scattering, and absorption to acquire information about internal structures and functions of living bodies; common medical optical instruments are microscopes, endoscopes, spectrometers, optical tomography (OCT), phototherapy instruments, and the like.
Through retrieval, the Chinese invention with the publication number of CN116086773A and the name of a medical optical instrument performance detection software system and an operation mode discloses that the system comprises a user management module, a mechanical arm monitoring module, a camera control module, a performance test module, a report generation module and a data storage module; the running mode of the software comprises the following steps: s1, newly-built testing; s2, performance testing; s3, monitoring a mechanical arm; s4, image acquisition; s5, image analysis; s6, report generation. The invention can realize the test, analysis and processing of the optical performance of the small medical optical product, and simultaneously, the accuracy and the instantaneity of the system software for receiving, displaying and processing the test data meet the indexes of the actual engineering requirements, and the invention has certain operability and practicability.
The abnormal performance of the medical optical instrument is generally caused by two aspects, namely the performance of the medical optical instrument is caused by the self-cause of the medical optical instrument, and the operation of personnel is caused by the other aspect; the existing medical optical instrument performance detection scheme basically carries out detection analysis on the self-cause aspect of the performance of the medical optical instrument, does not carry out targeted monitoring on the abnormality caused by personnel operation, generally carries out the performance detection of the medical optical instrument through a fixed detection period, cannot carry out self-adaptive dynamic detection according to the service condition of the medical optical instrument, and causes the technical problems of incomplete implementation and monitoring and poor initiative detection of the performance detection of the medical optical instrument.
Disclosure of Invention
The invention aims to provide a medical optical instrument performance detection system which is used for solving the technical problems of incomplete implementation and monitoring and poor initiative detection of the performance detection of the optical instrument in the traditional Chinese medicine.
The aim of the invention can be achieved by the following technical scheme:
a medical optical instrument performance detection system, comprising:
the target use monitoring and evaluating module is used for implementing monitoring statistics on objects and using processes of the medical optical instrument each time, and implementing single use influence evaluation on various data of the monitoring statistics to obtain target use local evaluation data; comprising the following steps:
when single-use influence evaluation is carried out on each item of data in the local monitoring data of the target usage of the monitoring statistics, acquiring corresponding operation duration CS according to the starting operation time and the ending operation time; setting different operation levels to correspond to different operation weights, and performing traversal matching on the operation levels in the target use local monitoring data and all operation levels prestored in a database to acquire corresponding operation weights CQ;
extracting the numerical value of the operation duration and the operation weight of the mark, and calculating and acquiring an operation influence coefficient Cy corresponding to the operation of the medical optical instrument by an operator through a formula Cy=CQ+CS/60;
classifying single operation states of an operator for operating the medical optical instrument according to the operation influence coefficient, acquiring a corresponding operation influence threshold according to the operation level, and comparing the operation influence coefficient with a preset operation influence threshold to obtain an operation influence normal label, an operation influence mild abnormal label or an operation influence severe abnormal label;
the target use local monitoring data and the operation influence coefficient and the corresponding operation influence normal label, operation influence mild abnormal label or operation influence severe abnormal label form target use local evaluation data which are uploaded to a performance detection sharing platform;
the instrument performance detection integral analysis module is used for processing and calculating the integral use condition of the medical optical instrument in the monitoring period to obtain a corresponding loss influence coefficient, and acquiring integral use state analysis data corresponding to the medical optical instrument according to the loss influence coefficient; the overall use state analysis data consists of loss influence coefficients and corresponding overall use normal labels or overall use abnormal labels;
and the instrument performance detection implementation management module is used for dynamically managing the implementation of the subsequent medical optical instrument performance detection according to the corresponding integral use state analysis data of the medical optical instrument.
Preferably, when monitoring statistics is implemented on the object and the use process of the medical optical instrument in each use in the monitoring period, an operator performs identity recognition with an identity recognition device on the medical optical instrument through an identity tag, and when the identity recognition is failed, a failed signal is generated;
generating a passing signal when the identity recognition passes, acquiring a name, an operation level and a starting operation time corresponding to an operator according to the passing signal, counting a detection result generated after the operator performs operation through the optical instrument of the hospital, and acquiring an ending operation time when the optical instrument of the medical instrument stops being used;
the name, operation level, start operation time, detection result and end operation time corresponding to the operator constitute target usage local monitoring data.
Preferably, the operation influence normal tag is generated when the operation influence coefficient is not greater than the operation influence threshold;
generating an operation influence mild anomaly tag when the operation influence coefficient is greater than the operation influence threshold and not greater than C% of the operation influence threshold; c is a real number greater than one hundred, marking the corresponding operators as one type of operators according to the operation influence mild abnormal label, and adding one to the total number of the mild abnormal operations of the one type of operators;
and when the operation influence coefficient is larger than C% of the operation influence threshold, generating an operation influence severe anomaly label, marking the corresponding operators as one type of operators according to the operation influence mild anomaly label, and adding one to the total times of the mild anomaly operations of the one type of operators.
Preferably, when the overall use condition of the medical optical instrument in the monitoring period is processed and calculated to obtain the corresponding loss influence coefficient, calculating the target use local evaluation data corresponding to all operators, and performing traversal statistics on the total number of the operation influence mild abnormal labels and the total number of the operation influence severe abnormal labels on the target use local evaluation data corresponding to all operators, wherein the total number is set to be a first abnormal total number YZ and a second abnormal total number EZ;
extracting the numerical values of the first abnormal total number and the second abnormal total number, and calculating and obtaining a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument through a formula Sy= [ (YZ+2×EZ)/SZ ] -alpha; wherein SZ is the total number of times of operating the medical optical instrument by all operators, and alpha is the preset standard operation anomaly alert rate.
Preferably, the target use local evaluation data corresponding to different operators are obtained, the operation duration CS corresponding to the operation of the medical optical instrument by each time of the different operators is obtained according to the target use local evaluation data, and the values of the operation durations of all operators are extracted and are calculated by a formulaCalculating and obtaining a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument; wherein SZ is the total number of times of operating the medical optical instrument by all operators, and CS0 is the preset standard warning total duration.
Preferably, local evaluation data of target use corresponding to different operators are obtained, detection results corresponding to the operation of the medical optical instrument are obtained according to the local evaluation data of the target use, the total times YZ of occurrence of abnormal detection results in the detection results are counted, the numerical value of the total times of occurrence of the abnormal detection results is extracted, and a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument is obtained through calculation according to a formula Sy=YZ/SZ-beta; wherein SZ is the total number of times of operating the medical optical instrument by all operators, and beta is the preset abnormal warning rate of the standard result.
Preferably, when the integral use state corresponding to the medical optical instrument is obtained according to the loss influence coefficient, the loss influence coefficient is compared with a preset loss influence threshold value for classification, and the loss influence threshold value is determined according to the historical sample operation big data;
if the loss influence coefficient is not greater than the loss influence threshold, generating an integral use normal label;
if the loss influence coefficient is larger than the loss influence threshold value, generating an overall use abnormal label;
and the loss influence coefficient and the corresponding overall use normal label or overall use abnormal label form overall use state analysis data which are uploaded to a performance detection sharing platform.
Preferably, the dynamic management of the implementation of the performance detection of the subsequent medical optical instrument according to the corresponding overall usage state analysis data of the medical optical instrument comprises:
traversing the whole use state analysis data, and respectively maintaining the existing medical optical instrument performance detection scheme or immediately implementing the medical optical instrument performance detection according to the whole use normal label or the whole use abnormal label obtained by traversing.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the operation personnel with different operation identities monitor and carry out data statistics in each operation process of the medical optical instrument, and each item of data of the monitoring statistics is processed and calculated to analyze and classify the single operation influence state of the operator, so that the influence of the medical optical instrument in each operation can be intuitively obtained, reliable local data support can be provided for the analysis of the whole operated influence state of the follow-up medical optical instrument, and the diversity of monitoring data analysis and utilization is improved; the integral use state of the medical optical instrument is analyzed and classified by integrating operation monitoring data of the medical optical instrument each time in the monitoring period, so that the integral condition of the use loss of the medical optical instrument in the monitoring period can be intuitively and efficiently obtained, and reliable data support can be provided for the dynamic implementation of the performance detection of the follow-up medical optical instrument; the performance detection is dynamically implemented through the integral use state of the medical optical instrument in the monitoring period, so that the timeliness and the high efficiency of the performance detection of the medical optical instrument can be effectively improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a medical optical instrument performance detection system according to the present invention.
FIG. 2 is a block flow diagram of the steps performed by a medical optical instrument performance test system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
Example 1:
as shown in fig. 1, the present invention is a medical optical instrument performance detection system, comprising:
the target use monitoring and evaluating module is used for implementing monitoring statistics on objects and using processes of the medical optical instrument each time, and implementing single use influence evaluation on various data of the monitoring statistics to obtain target use local evaluation data; comprising the following steps:
when monitoring statistics is implemented on objects and using processes of the medical optical instrument in each use in a monitoring period, an operator carries out identity recognition with an identity recognition device on the medical optical instrument through an identity tag, and a non-passing signal is generated when the identity recognition is not passed; the identity recognition device can be a card reader corresponding to the identity tag;
generating a passing signal when the identity recognition passes, acquiring a name, an operation level and a starting operation time corresponding to an operator according to the passing signal, counting a detection result generated after the operator performs operation through the optical instrument of the hospital, and acquiring an ending operation time when the optical instrument of the medical instrument stops being used;
it should be noted that, the monitoring period is determined according to the detection interval time corresponding to the existing medical optical instrument performance detection scheme, and the corresponding unit is day, specifically may be 60 days; the operator may be a medical staff member, the identity tag may be formed by a chip containing an RFID, the identity tag pre-stores the name and operation level of the operator, the operation level is formed by the existing medical staff level, including but not limited to doctor, attending physician, secondary primary physician, primary physician; the detection result comprises an abnormal detection result and a normal detection result;
in the embodiment of the invention, through the matched use of the identity tag and the identity recognition device, the operation condition of the medical optical instrument can be monitored and data counted each time, and reliable data support can be provided for the operation state analysis of each time of operators;
the unit corresponding to the start operation time and the end operation time is second, and the judgment when the medical optical instrument stops being used can be carried out contact recognition with the identity recognition device on the medical optical instrument through the identity tag again by an operator;
the name, the operation level, the starting operation time, the detection result and the ending operation time corresponding to the operator form target use local monitoring data;
when single-use influence evaluation is carried out on each item of data in the target use local monitoring data, acquiring corresponding operation duration CS according to the starting operation time and the ending operation time;
setting different operation levels to correspond to different operation weights, and performing traversal matching on the operation levels in the target use local monitoring data and all operation levels prestored in a database to acquire corresponding operation weights CQ;
the operation weight is used for digitizing and differentially representing different operation levels, so that the subsequent differential monitoring analysis of operators with different operation levels can be realized;
extracting the numerical value of the operation duration and the operation weight of the mark, and calculating and acquiring an operation influence coefficient Cy corresponding to the operation of the medical optical instrument by an operator through a formula Cy=CQ+CS/60;
classifying single operation states of an operator for operating the medical optical instrument according to the operation influence coefficient, acquiring corresponding operation influence thresholds according to the operation level, determining the operation influence thresholds according to historical sample operation big data corresponding to the operation level, and comparing the operation influence coefficient with a preset operation influence threshold;
generating an operation influence normal tag when the operation influence coefficient is not greater than the operation influence threshold;
generating an operation influence mild anomaly tag when the operation influence coefficient is greater than the operation influence threshold and not greater than C% of the operation influence threshold; c is a real number greater than one hundred, marking the corresponding operators as one type of operators according to the operation influence mild abnormal label, and adding one to the total number of the mild abnormal operations of the one type of operators;
generating an operation influence severe anomaly label when the operation influence coefficient is greater than C% of the operation influence threshold, marking the corresponding operators as one type of operators according to the operation influence mild anomaly label, and adding one to the total times of the mild anomaly operations of the one type of operators;
the target use local monitoring data and the operation influence coefficient and the corresponding operation influence normal label, operation influence mild abnormal label or operation influence severe abnormal label form target use local evaluation data which are uploaded to a performance detection sharing platform;
in the embodiment of the invention, the operation influence coefficients corresponding to the operators are obtained by monitoring and carrying out data statistics on the process of operating the medical optical instrument each time by the operators with different operation identities, and processing and calculating the data of the monitoring statistics, and the single operation influence states of the operators are analyzed and classified according to the operation influence coefficients, so that the influence of the medical optical instrument each time when operated can be intuitively obtained, reliable local data support can be provided for the analysis of the whole operated influence states of the follow-up medical optical instrument, and the diversity of monitoring data analysis and utilization is improved.
Example 2:
on the basis of the technical scheme of the embodiment 1, the method further comprises the following steps:
the instrument performance detection integral analysis module is used for processing and calculating the integral use condition of the medical optical instrument in the monitoring period to obtain a corresponding loss influence coefficient, and obtaining the integral use state corresponding to the medical optical instrument according to the loss influence coefficient; comprising the following steps:
when the integral use condition of the medical optical instrument in the monitoring period is processed and calculated to obtain the corresponding loss influence coefficient, the loss influence coefficient can be obtained through three schemes, and the three schemes can be implemented alternatively or simultaneously;
scheme one
Counting the target use local evaluation data corresponding to all operators, performing traversal statistics on the total number of the operation-affected mild abnormal labels and the total number of the operation-affected severe abnormal labels on the target use local evaluation data corresponding to all operators, and setting the total number as a first abnormal total number YZ and a second abnormal total number EZ;
extracting the numerical values of the first abnormal total number and the second abnormal total number, and calculating and obtaining a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument through a formula Sy= [ (YZ+2×EZ)/SZ ] -alpha; wherein SZ is the total number of times that all operators operate the medical optical instrument, α is a preset standard operation anomaly alert rate, and can be determined according to design parameters of the medical optical instrument or according to professional experience of those skilled in the art;
scheme II
Acquiring target use local evaluation data corresponding to different operators, acquiring operation duration CS corresponding to each medical optical instrument operation of the different operators according to the target use local evaluation data, extracting the values of the operation duration CS of all operators and passing through a formulaCalculating and obtaining a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument; wherein SZ is the total number of times that all operators operate the medical optical instrument, CS0 is the preset standard warning total duration, and can be determined according to the design parameters of the medical optical instrument or according to the professional experience of the person skilled in the art;
scheme III
Obtaining target use local evaluation data corresponding to different operators, obtaining detection results corresponding to the operation of the medical optical instrument by the operators each time according to the target use local evaluation data, counting the total times YZ of occurrence of abnormal detection results in the detection results, extracting the numerical value of the total times of occurrence of the abnormal detection results, and obtaining a loss influence coefficient Sy corresponding to the overall use condition of the medical optical instrument through calculation of a formula Sy=YZ/SZ-beta; wherein SZ is the total number of times of operating the medical optical instrument by all operators, β is the preset standard result anomaly alert rate, and can be determined according to the design parameters of the medical optical instrument or according to the professional experience of the person skilled in the art;
the loss influence coefficient is used for integrating operation monitoring data of the medical optical instrument each time in the monitoring period to analyze and evaluate the whole use state of the medical optical instrument, and the larger the loss influence coefficient is, the larger the loss influence on the medical optical instrument is;
when the integral use state corresponding to the medical optical instrument is obtained according to the loss influence coefficient, comparing and classifying the loss influence coefficient with a preset loss influence threshold value, wherein the loss influence threshold value is determined according to the historical sample operation big data;
if the loss influence coefficient is not greater than the loss influence threshold, generating an integral use normal label;
if the loss influence coefficient is larger than the loss influence threshold value, generating an overall use abnormal label;
the loss influence coefficient and the corresponding overall use normal label or overall use abnormal label form overall use state analysis data which are uploaded to a performance detection sharing platform;
according to the embodiment of the invention, the loss influence coefficient is obtained by integrating the operation monitoring data of the medical optical instrument in each monitoring period, and the whole use state of the medical optical instrument is analyzed and classified according to the loss influence coefficient, so that the whole use loss condition of the medical optical instrument in the monitoring period can be intuitively and efficiently obtained, and reliable data support can be provided for the dynamic implementation of the performance detection of the follow-up medical optical instrument.
Example 3:
on the basis of the technical solutions of embodiment 1 and embodiment 2, the method further includes:
the instrument performance detection implementation management module is used for dynamically managing the implementation of the subsequent medical optical instrument performance detection according to the corresponding overall use state of the medical optical instrument; comprising the following steps:
traversing the whole use state analysis data, and respectively maintaining the existing medical optical instrument performance detection scheme or immediately implementing the medical optical instrument performance detection according to the whole use normal label or the whole use abnormal label obtained by traversing.
In the embodiment of the invention, the performance detection is dynamically implemented by the integral use state of the medical optical instrument in the monitoring period, so that the timeliness and the high efficiency of the performance detection of the medical optical instrument can be effectively improved.
Example 4:
as shown in fig. 2, the implementation steps of the performance detection system of the medical optical instrument include:
monitoring statistics is carried out on objects and using processes of the medical optical instrument when the medical optical instrument is used each time, single-use influence evaluation is carried out on various data of the monitoring statistics, and target use local evaluation data are obtained;
processing and calculating the integral use condition of the medical optical instrument in the monitoring period to obtain a corresponding loss influence coefficient, and obtaining the integral use state corresponding to the medical optical instrument according to the loss influence coefficient;
dynamically managing the implementation of the performance detection of the subsequent medical optical instrument according to the corresponding overall use state of the medical optical instrument; including maintaining an existing medical optical instrument performance testing scheme or immediately performing a medical optical instrument performance test.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A medical optical instrument performance detection system, comprising:
the target use monitoring and evaluating module is used for implementing monitoring statistics on objects and using processes of the medical optical instrument each time, and implementing single use influence evaluation on various data of the monitoring statistics to obtain target use local evaluation data; comprising the following steps:
when single-use influence evaluation is carried out on each item of data in the local monitoring data of the target usage of the monitoring statistics, acquiring corresponding operation duration CS according to the starting operation time and the ending operation time; setting different operation levels to correspond to different operation weights, and performing traversal matching on the operation levels in the target use local monitoring data and all operation levels prestored in a database to acquire corresponding operation weights CQ;
extracting the numerical value of the operation duration and the operation weight of the mark, and calculating and acquiring an operation influence coefficient Cy corresponding to the operation of the medical optical instrument by an operator through a formula Cy=CQ+CS/60;
classifying single operation states of an operator for operating the medical optical instrument according to the operation influence coefficient, acquiring a corresponding operation influence threshold according to the operation level, and comparing the operation influence coefficient with a preset operation influence threshold to obtain an operation influence normal label, an operation influence mild abnormal label or an operation influence severe abnormal label;
the target use local monitoring data and the operation influence coefficient and the corresponding operation influence normal label, operation influence mild abnormal label or operation influence severe abnormal label form target use local evaluation data which are uploaded to a performance detection sharing platform;
the instrument performance detection integral analysis module is used for processing and calculating the integral use condition of the medical optical instrument in the monitoring period to obtain a corresponding loss influence coefficient, and acquiring integral use state analysis data corresponding to the medical optical instrument according to the loss influence coefficient; the overall use state analysis data consists of loss influence coefficients and corresponding overall use normal labels or overall use abnormal labels;
and the instrument performance detection implementation management module is used for dynamically managing the implementation of the subsequent medical optical instrument performance detection according to the corresponding integral use state analysis data of the medical optical instrument.
2. The system for detecting the performance of a medical optical instrument according to claim 1, wherein when the monitoring system is implemented on an object and a use process of the medical optical instrument each time in a monitoring period, an operator performs identity recognition with an identity recognition device on the medical optical instrument through an identity tag, and generates a non-passing signal when the identity recognition is not passed;
generating a passing signal when the identity recognition passes, acquiring a name, an operation level and a starting operation time corresponding to an operator according to the passing signal, counting a detection result generated after the operator performs operation through the optical instrument of the hospital, and acquiring an ending operation time when the optical instrument of the medical instrument stops being used;
the name, operation level, start operation time, detection result and end operation time corresponding to the operator constitute target usage local monitoring data.
3. The medical optical instrument performance detection system of claim 2, wherein the operation-affecting normal label is generated when the operation-affecting coefficient is not greater than the operation-affecting threshold;
generating an operation influence mild anomaly tag when the operation influence coefficient is greater than the operation influence threshold and not greater than C% of the operation influence threshold; c is a real number greater than one hundred, marking the corresponding operators as one type of operators according to the operation influence mild abnormal label, and adding one to the total number of the mild abnormal operations of the one type of operators;
and when the operation influence coefficient is larger than C% of the operation influence threshold, generating an operation influence severe anomaly label, marking the corresponding operators as one type of operators according to the operation influence mild anomaly label, and adding one to the total times of the mild anomaly operations of the one type of operators.
4. The medical optical instrument performance detection system according to claim 1, wherein when the overall use condition of the medical optical instrument in the monitoring period is processed and calculated to obtain the corresponding loss influence coefficient, the target use local evaluation data corresponding to all operators are counted, and the total number of the slightly abnormal operation influence labels and the total number of the operation influence serious abnormal labels corresponding to all operators are subjected to traversal counting by using the target use local evaluation data corresponding to all operators and set to be a first abnormal total number YZ and a second abnormal total number EZ;
extracting the numerical values of the first abnormal total number and the second abnormal total number, and calculating and obtaining a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument through a formula Sy= [ (YZ+2×EZ)/SZ ] -alpha; wherein SZ is the total number of times of operating the medical optical instrument by all operators, and alpha is the preset standard operation anomaly alert rate.
5. The medical optical instrument performance detection system according to claim 1, wherein target usage local evaluation data corresponding to different operators are obtained, operation duration CS corresponding to each time of performing medical optical instrument operation by different operators is obtained according to the target usage local evaluation data, values of operation duration CS of all operators are extracted and the values are calculated by the formulaCalculating and obtaining a loss influence coefficient Sy corresponding to the whole use condition of the medical optical instrument; wherein SZ is the total number of times of operating the medical optical instrument by all operators, and CS0 is the preset standard warning total duration.
6. The medical optical instrument performance detection system according to claim 1, wherein target use local evaluation data corresponding to different operators are obtained, detection results corresponding to the operation of the medical optical instrument are obtained according to the target use local evaluation data each time the operators implement the operation of the medical optical instrument, the total times YZ of occurrence of abnormal detection results in the detection results are counted, the numerical value of the total times of occurrence of the abnormal detection results is extracted, and a loss influence coefficient Sy corresponding to the overall use condition of the medical optical instrument is obtained through calculation according to a formula Sy = YZ/SZ-beta; wherein SZ is the total number of times of operating the medical optical instrument by all operators, and beta is the preset abnormal warning rate of the standard result.
7. The system according to any one of claims 4 to 6, wherein when the overall use state of the medical optical instrument is obtained according to the loss influence coefficient, the loss influence coefficient is compared with a preset loss influence threshold value, and the loss influence threshold value is determined according to the historical sample operation big data;
if the loss influence coefficient is not greater than the loss influence threshold, generating an integral use normal label;
if the loss influence coefficient is larger than the loss influence threshold value, generating an overall use abnormal label;
and the loss influence coefficient and the corresponding overall use normal label or overall use abnormal label form overall use state analysis data which are uploaded to a performance detection sharing platform.
8. The medical optical instrument performance testing system of claim 1, wherein dynamically managing performance testing of subsequent medical optical instruments based on the corresponding overall usage state analysis data of the medical optical instrument comprises:
traversing the whole use state analysis data, and respectively maintaining the existing medical optical instrument performance detection scheme or immediately implementing the medical optical instrument performance detection according to the whole use normal label or the whole use abnormal label obtained by traversing.
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2023
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| US20210165476A1 (en) * | 2018-04-04 | 2021-06-03 | Schneider Electric USA, Inc. | Systems and methods for intelligent alarm grouping |
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