CN113779896A - Supervision method and system for medical instrument maintenance - Google Patents
Supervision method and system for medical instrument maintenance Download PDFInfo
- Publication number
- CN113779896A CN113779896A CN202111330441.4A CN202111330441A CN113779896A CN 113779896 A CN113779896 A CN 113779896A CN 202111330441 A CN202111330441 A CN 202111330441A CN 113779896 A CN113779896 A CN 113779896A
- Authority
- CN
- China
- Prior art keywords
- maintenance
- maintenance period
- fault
- period
- total
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/08—Probabilistic or stochastic CAD
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
- Mathematical Physics (AREA)
- Molecular Biology (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Operations Research (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to a monitoring method and a monitoring system for maintenance of medical equipment, which comprises the steps of receiving fault information of the medical equipment input by a user, and estimating a transportation cycle according to the geographical position of a supplier and the current geographical position of a hospital to obtain a first maintenance cycle; estimating a maintenance period according to the damage degree of the failed part to obtain a second maintenance period; calculating a total maintenance period based on the first maintenance period and the second maintenance period; and predicting the time for putting into the current hospital according to the total maintenance period. When one or more sudden medical instruments have faults, the time for putting the medical instruments into use in the current hospital after maintenance is estimated by calculating the total maintenance period, so that the monitoring of the maintenance process of the medical instruments is facilitated, and the reasonable distribution of resources of the hospital is facilitated. And each part can be detected in a targeted manner at the detection time point, so that the maintenance frequency of the medical instrument is reduced.
Description
Technical Field
The invention relates to the field of medical instrument supervision, in particular to a supervision method and a supervision system for medical instrument maintenance.
Background
The medical apparatus refers to equipment, instruments and appliances which are directly or indirectly used for human bodies, and related articles such as in-vitro diagnostic reagents and materials, such as monitors, anaesthesia machines, breathing machines, full-automatic biochemical analyzers, enzyme mark instruments, Doppler ultrasonic diagnostic instruments, X-ray machines, nuclear magnetic resonance instruments and the like. The medical apparatus is mainly obtained in a physical mode, and can achieve the purposes of disease prevention, monitoring, treatment and the like, or play a role in detecting, replacing and adjusting a physiological structure or a physiological process. With the rapid development of scientific technology in recent years, the overall medical level has also been greatly improved, and the demand of each large hospital for medical instruments has gradually increased, so that advanced mechanical equipment is bought in many times to improve the medical system of the hospital and further improve the medical level of the hospital. According to observation and display in recent years, the advanced medical equipment can improve the working efficiency of hospitals and assist doctors to complete more work.
However, whether the medical apparatus can normally operate is closely related to the degree of understanding of medical apparatuses by workers in hospitals and whether effective maintenance management can be performed, and particularly, some high-tech medical apparatuses are combined with multidisciplinary technologies, so that the internal structure and the operation principle are complex, and the maintenance management has great difficulty. If efficient maintenance management and maintenance process progress monitoring cannot be performed on the medical instrument, normal use of the medical instrument is affected slightly, and treatment time of a patient is affected seriously.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a supervision method and a supervision system for medical instrument maintenance and a readable medium.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a supervision method for medical instrument maintenance in a first aspect, which comprises the following steps:
receiving fault information of the medical instrument input by a user, wherein the fault information comprises a fault part, the service life of the fault part, the service time of the fault part and the damage degree of the fault part;
acquiring a supplier of the part corresponding to the fault based on the fault information, acquiring the geographical position of the supplier through a big data network, acquiring the geographical position of a current hospital, and estimating a transportation cycle according to the geographical position of the supplier and the geographical position of the current hospital to obtain a first maintenance cycle;
estimating a maintenance period according to the damage degree of the fault part to obtain a second maintenance period;
calculating a total maintenance period based on the first maintenance period and the second maintenance period;
and predicting the time for putting into the current hospital according to the total maintenance period.
Further, in a preferred embodiment of the present invention, the calculating a total maintenance cycle based on the first maintenance cycle and the second maintenance cycle specifically includes the following steps:
obtaining a total maintenance period based on the sum of the first maintenance period and the second maintenance period;
screening out a total maintenance cycle according to the size of the total maintenance cycle of the fault parts, which is specifically as follows:
if n fault parts need to be maintained, n total maintenance periods exist, and the total maintenance period of the maximum value is obtained by comparing the n total maintenance periods.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
judging whether the service time of the failed part is within the service life of the failed part or not;
if yes, selecting maintenance or replacement according to the damage degree of the part, and calculating the total maintenance period; when maintenance is carried out, a first maintenance period and a second maintenance period are calculated; when the replacement is carried out, calculating a first maintenance period;
and if not, replacing the failed part, and recalculating a total maintenance period, wherein the total maintenance period of the replaced part is equal to the first maintenance period.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
acquiring the use condition of the current medical instrument, wherein the use condition comprises the use time of the medical instrument, the use frequency of the medical instrument and the natural replacement period of each part of the medical instrument;
establishing a fault probability density model based on the use frequency of the medical instrument and the use time of the medical instrument;
and obtaining an optimal detection time sequence according to the fault probability density model, and obtaining a time point for detecting the medical instrument from the optimal detection time sequence.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
judging whether the service time of the parts of the medical instrument is longer than the natural replacement period of the parts of the medical instrument;
and if the total maintenance period is larger than the preset value, replacing the part, and calculating the total maintenance period for replacing the part, wherein if the natural replacement periods of the n parts are the same, the maximum value in the n first maintenance periods is extracted as the final total maintenance period.
The invention provides a medical instrument maintenance supervision system, which comprises a memory and a processor, wherein the memory comprises a medical instrument maintenance supervision method program, and the medical instrument maintenance supervision method program realizes the following steps when executed by the processor:
receiving fault information of the medical instrument input by a user, wherein the fault information comprises a fault part, the service life of the fault part, the service time of the fault part and the damage degree of the fault part;
acquiring a supplier of the part corresponding to the fault based on the fault information, acquiring the geographical position of the supplier through a big data network, acquiring the geographical position of a current hospital, and estimating a transportation cycle according to the geographical position of the supplier and the geographical position of the current hospital to obtain a first maintenance cycle;
estimating a maintenance period according to the damage degree of the fault part to obtain a second maintenance period;
calculating a total maintenance period based on the first maintenance period and the second maintenance period;
and predicting the time for putting into the current hospital according to the total maintenance period.
Further, in a preferred embodiment of the present invention, the calculating a total maintenance cycle based on the first maintenance cycle and the second maintenance cycle specifically includes the following steps:
obtaining a total maintenance period based on the sum of the first maintenance period and the second maintenance period;
screening out a total maintenance cycle according to the size of the total maintenance cycle of the fault parts, which is specifically as follows:
if n fault parts need to be maintained, n total maintenance periods exist, and the total maintenance period of the maximum value is obtained by comparing the n total maintenance periods.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
judging whether the service time of the failed part is within the service life of the failed part or not;
if yes, selecting maintenance or replacement according to the damage degree of the part, and calculating the total maintenance period; when maintenance is carried out, a first maintenance period and a second maintenance period are calculated; when the replacement is carried out, calculating a first maintenance period;
and if not, replacing the failed part, and recalculating a total maintenance period, wherein the total maintenance period of the replaced part is equal to the first maintenance period.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
acquiring the use condition of the current medical instrument, wherein the use condition comprises the use time of the medical instrument, the use frequency of the medical instrument and the natural replacement period of each part of the medical instrument;
establishing a fault probability density model based on the use frequency of the medical instrument and the use time of the medical instrument;
obtaining an optimal detection time sequence according to the fault probability density model, and obtaining a time point for detecting the medical instrument from the optimal detection time sequence;
judging whether the service time of the parts of the medical instrument is longer than the natural replacement period of the parts of the medical instrument;
and if the total maintenance period is larger than the preset value, replacing the part, and calculating the total maintenance period for replacing the part, wherein if the natural replacement periods of the n parts are the same, the maximum value in the n first maintenance periods is extracted as the final total maintenance period.
The invention solves the defects in the background technology, and when one or more sudden medical instruments have faults, the invention estimates the time for putting the medical instruments into the current hospital after the maintenance through calculating the total maintenance period, thereby being beneficial to monitoring the maintenance process of the medical instruments, being capable of particularly informationizing and displaying the maintenance state on a visual window and being beneficial to the reasonable distribution of hospital resources. And the optimal time point of the detection equipment can be obtained in the time sequence function under the frequent value of the equipment, so that each part can be detected in a targeted manner in the detection time point, and the maintenance frequency of the medical equipment is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings of the embodiments can be obtained according to the drawings without creative efforts.
FIG. 1 illustrates a method flow diagram of a method of supervision of medical instrument maintenance;
FIG. 2 shows a flow chart of a method of calculating a total maintenance cycle;
FIG. 3 illustrates a flow chart of a method of determining whether a component is to be replaced or repaired;
FIG. 4 shows a flowchart of a method for obtaining a point in time for detecting a medical instrument;
FIG. 5 illustrates a flow chart of a method of obtaining a total service period for replacing a part when the part reaches a natural replacement period;
fig. 6 shows a block diagram of a supervision system for medical instrument maintenance.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
The invention provides a supervision method for medical instrument maintenance in a first aspect, which comprises the following steps:
s102, receiving fault information of the medical instrument input by a user, wherein the fault information comprises a fault part, the service life of the fault part, the service time of the fault part and the damage degree of the fault part;
s104, acquiring a supplier of the parts corresponding to the fault based on the fault information, acquiring the geographical position of the supplier through a big data network, acquiring the geographical position of a current hospital, and estimating a transportation cycle according to the geographical position of the supplier and the geographical position of the current hospital to obtain a first maintenance cycle;
s106, estimating a maintenance period according to the damage degree of the failed part to obtain a second maintenance period;
s108, calculating a total maintenance period based on the first maintenance period and the second maintenance period;
and S110, estimating the time for putting into the current hospital according to the total maintenance period.
It should be noted that, when one or more sudden medical instruments have faults, the invention estimates the time for putting the medical instruments into the current hospital after maintenance through calculating the total maintenance period, which is beneficial to the maintenance tracking and supervision of the medical instruments in the hospital, thereby obtaining a total maintenance period, when the service time of the parts does not reach the natural replacement period, generally selecting the maintenance mode, further selecting the transportation mode of travel, calculating the estimated transportation period that the current geographical position of the hospital reaches the current geographical position of the hospital, and the second maintenance period is a maintenance period obtained according to the damage degree of the fault parts, further calculating a total maintenance period, thereby being beneficial to the monitoring of the maintenance process of the medical instruments, and particularly displaying the maintenance state in an informationized manner in a visual window, the system is beneficial to monitoring the maintenance activity progress of the hospital in real time and reasonably distributing the resources of the hospital. The estimated maintenance period according to the damage degree of the failed component can be specifically understood as an average time limit obtained from a big data network when the supplier maintains the product. It should be noted that the invention does not consider the time occupied by other factors, such as the installation time and the debugging time, in practical cases, the installation time and the debugging time are substantially consistent for the same product.
Further, in a preferred embodiment of the present invention, the calculating a total maintenance cycle based on the first maintenance cycle and the second maintenance cycle specifically includes the following steps:
s202, obtaining a total maintenance period based on the sum of the first maintenance period and the second maintenance period;
s204, screening out a total maintenance cycle according to the size of the total maintenance cycle of the fault parts, which is concretely as follows:
if n fault parts need to be maintained, n total maintenance periods exist, and the total maintenance period of the maximum value is obtained by comparing the n total maintenance periods.
It should be noted that, when a plurality of components are failed at the same time, the total maintenance time required for each component to be maintained is calculated, and since the components are failed at the same time, the starting time points required for maintenance are consistent, the suppliers of each component may not be consistent, the suppliers may come from a plurality of places, the damage degree of each component may not be consistent, and the natural maintenance time may not be consistent, thereby resulting in inconsistent total maintenance cycle of each component. Because the faults occur simultaneously, a maximum total maintenance period is actually selected from the total maintenance periods of all the fault parts, and the maximum total maintenance period is the total maintenance period for maintaining the medical apparatus.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
s302, judging whether the service time of the fault part is within the service life of the fault part;
s304, if yes, selecting maintenance or replacement according to the damage degree of the part, and calculating the total maintenance period; when maintenance is carried out, a first maintenance period and a second maintenance period are calculated; when the replacement is carried out, calculating a first maintenance period;
and S306, if not, replacing the failed part, and recalculating the total maintenance period, wherein the total maintenance period of the replaced part is equal to the first maintenance period.
It should be noted that, when the service time of the failed component is within the service life of the component, generally, it is determined whether to perform maintenance or replacement according to the degree of damage of the failed component. When the damage degree is low, a maintenance mode is selected, so that the maintenance cost of a hospital is saved; when the damage degree of the fault part is high, the mode of replacing the part is selected, and the probability of subsequent fault of the part is reduced. When the fault part is maintained, a first maintenance period and a second maintenance period need to be calculated, so that a total maintenance period is obtained; when the fault part needs to be replaced, the maintenance period of a supplier is reduced, so that only a first maintenance period needs to be calculated, and the first maintenance period is the total maintenance period.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
s402, acquiring the use condition of the current medical instrument, wherein the use condition comprises the use time of the medical instrument, the use frequency of the medical instrument and the natural replacement cycle of each part of the medical instrument;
s404, establishing a fault probability density model based on the use frequency of the medical instrument and the use time of the medical instrument;
and S406, obtaining an optimal detection time sequence according to the fault probability density model, and obtaining a time point for detecting the medical instrument from the optimal detection time sequence.
Since the occurrence of a fault is random, the fault probability distribution system includes an expected value model in a mathematical model, and satisfies a certain fault density probability function assuming that a fault occurs at a certain time point:
wherein the content of the first and second substances,
as a probability value of the occurrence of the failure,
greater than or equal to 0;
indicates the probability of occurrence of the medical device in the interval (T, T + Δ T), where T is the lifetime of the component and T is the time.
When a fault occurs, the average value of the time period from the system starting to normally operate to the fault is the use frequency value of the medical instrument, and within a certain time t, a certain detection time point exists according to the use frequency value of the equipment, and the time point meets the following requirements to some extent:
wherein n is the number of times of detection,
in order to detect the time values of the time series,
for each detection cost, C is a frequency value of the medical instrument,
indicates the time of the nth detection,
indicates the time of the (n + 1) th detection,
as a function of the fault density probability.
It should be noted that, as can be seen from this, under the frequency value of the usage of the device, the optimal time point of detecting the device can be obtained from the detection time sequence function, so that each component can be detected in the detection time point in a targeted manner, which is beneficial to reducing the maintenance frequency of the medical instrument, and is beneficial to ensuring the normal usage of the medical instrument, thereby being beneficial to the supervision of the medical instrument by the hospital department, and further being beneficial to the reasonable allocation of hospital resources. The probability value P of the fault of the part increases along with the increase of the use frequency of the equipment along with the use time within the service life of the part, and the probability value P has a certain positive correlation relationship, such as the probability value P increases in a logarithmic relationship within one period of use time, the probability value P increases in a positive correlation relationship within another period of time, and the like.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
s502, judging whether the service time of the parts of the medical instrument is longer than the natural replacement period of the parts of the medical instrument;
and S504, if the total maintenance period is larger than the total maintenance period, replacing the part, and calculating the total maintenance period for replacing the part, wherein if the natural replacement periods of the n parts are the same, the maximum value in the n first maintenance periods is extracted as the final total maintenance period.
It should be noted that each component has a certain natural replacement period value, when the component service time of the medical device is longer than the natural replacement period of the component of the medical device, where the natural replacement period is the maximum service life given by the supplier, and when the natural replacement periods of a plurality of components are the same, the maximum value of the first maintenance period is calculated as the total maintenance period.
In addition, the method also comprises the following steps:
receiving the running states of all parts of the medical instrument uploaded by fixed-point maintainers;
judging whether the running state has defects or not;
when the part has defects, immediately updating the overhaul period and shortening the overhaul period to frequently check the running state of the part, acquiring the running states of other parts connected with the part, establishing a correlation prediction model based on a neural network, and importing the running state of the part into the correlation prediction model for training;
importing the operation states of the other parts connected with the part into an associated prediction model to predict the probability value of the other parts having faults;
and when the probability value is greater than a preset probability threshold value, shortening the overhaul period of other parts.
It should be noted that, because the states of the components in the system are not completely independent from each other, it can be understood that the defect of a certain component may cause the performance of the associated component in the medical apparatus to have a certain influence, so that by the method, the fault can be effectively found in time by shortening the maintenance period, thereby avoiding the occurrence probability of a large fault of the medical apparatus, reducing the maintenance period, and also facilitating the reduction of the maintenance cost. The relevance prediction model can be expressed in that if the part A fails, the part B is paralyzed; and if the C part fails, the D part is slightly influenced, and the like.
The second aspect of the present invention provides a medical equipment maintenance supervision system, which includes a memory 41 and a processor 62, wherein the memory 41 includes a medical equipment maintenance supervision method program, and when the medical equipment maintenance supervision method program is executed by the processor 62, the following steps are implemented:
receiving fault information of the medical instrument input by a user, wherein the fault information comprises a fault part, the service life of the fault part, the service time of the fault part and the damage degree of the fault part;
acquiring a supplier of the part corresponding to the fault based on the fault information, acquiring the geographical position of the supplier through a big data network, acquiring the geographical position of a current hospital, and estimating a transportation cycle according to the geographical position of the supplier and the geographical position of the current hospital to obtain a first maintenance cycle;
estimating a maintenance period according to the damage degree of the fault part to obtain a second maintenance period;
calculating a total maintenance period based on the first maintenance period and the second maintenance period;
and predicting the time for putting into the current hospital according to the total maintenance period.
It should be noted that, when one or more sudden medical instruments have faults, the invention estimates the time for putting the medical instruments into the current hospital after maintenance through calculating the total maintenance period, which is beneficial to the maintenance tracking and supervision of the medical instruments in the hospital, thereby obtaining a total maintenance period, when the service time of the parts does not reach the natural replacement period, generally selecting the maintenance mode, further selecting the transportation mode of travel, calculating the estimated transportation period that the current geographical position of the hospital reaches the current geographical position of the hospital, and the second maintenance period is a maintenance period obtained according to the damage degree of the fault parts, further calculating a total maintenance period, thereby being beneficial to the monitoring of the maintenance process of the medical instruments, and particularly displaying the maintenance state in an informationized manner in a visual window, the system is beneficial to monitoring the maintenance activity progress of the hospital in real time and reasonably distributing the resources of the hospital. The estimated maintenance period according to the damage degree of the failed component can be specifically understood as an average time limit obtained from a big data network when the supplier maintains the product. It should be noted that the invention does not consider the time occupied by other factors, such as the installation time and the debugging time, in practical cases, the installation time and the debugging time are substantially consistent for the same product.
Further, in a preferred embodiment of the present invention, the calculating a total maintenance cycle based on the first maintenance cycle and the second maintenance cycle specifically includes the following steps:
obtaining a total maintenance period based on the sum of the first maintenance period and the second maintenance period;
screening out a total maintenance cycle according to the size of the total maintenance cycle of the fault parts, which is specifically as follows:
if n fault parts need to be maintained, n total maintenance periods exist, and the total maintenance period of the maximum value is obtained by comparing the n total maintenance periods.
It should be noted that, when a plurality of components are failed at the same time, the total maintenance time required for each component to be maintained is calculated, and since the components are failed at the same time, the starting time points required for maintenance are consistent, the suppliers of each component may not be consistent, the suppliers may come from a plurality of places, the damage degree of each component may not be consistent, and the natural maintenance time may not be consistent, thereby resulting in inconsistent total maintenance cycle of each component. Because the faults occur simultaneously, a maximum total maintenance period is actually selected from the total maintenance periods of all the fault parts, and the maximum total maintenance period is the total maintenance period for maintaining the medical apparatus.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
judging whether the service time of the failed part is within the service life of the failed part or not;
if yes, selecting maintenance or replacement according to the damage degree of the part, and calculating the total maintenance period; when maintenance is carried out, a first maintenance period and a second maintenance period are calculated; when the replacement is carried out, calculating a first maintenance period;
and if not, replacing the failed part, and recalculating a total maintenance period, wherein the total maintenance period of the replaced part is equal to the first maintenance period.
It should be noted that, when the service time of the failed component is within the service life of the component, generally, it is determined whether to perform maintenance or replacement according to the degree of damage of the failed component. When the damage degree is low, a maintenance mode is selected, so that the maintenance cost of a hospital is saved; when the damage degree of the fault part is high, the mode of replacing the part is selected, and the probability of subsequent fault of the part is reduced. When the fault part is maintained, a first maintenance period and a second maintenance period need to be calculated, so that a total maintenance period is obtained; when the fault part needs to be replaced, the maintenance period of a supplier is reduced, so that only a first maintenance period needs to be calculated, and the first maintenance period is the total maintenance period.
Further, in a preferred embodiment of the present invention, the method further comprises the following steps:
acquiring the use condition of the current medical instrument, wherein the use condition comprises the use time of the medical instrument, the use frequency of the medical instrument and the natural replacement period of each part of the medical instrument;
establishing a fault probability density model based on the use frequency of the medical instrument and the use time of the medical instrument;
obtaining an optimal detection time sequence according to the fault probability density model, and obtaining a time point for detecting the medical instrument from the optimal detection time sequence;
judging whether the service time of the parts of the medical instrument is longer than the natural replacement period of the parts of the medical instrument;
and if the total maintenance period is larger than the preset value, replacing the part, and calculating the total maintenance period for replacing the part, wherein if the natural replacement periods of the n parts are the same, the maximum value in the n first maintenance periods is extracted as the final total maintenance period.
Since the occurrence of a fault is random, the fault probability distribution system includes an expected value model in a mathematical model, and satisfies a certain fault density probability function assuming that a fault occurs at a certain time point:
wherein the content of the first and second substances,
as a probability value of the occurrence of the failure,
greater than or equal to 0;
indicates the probability of occurrence of the medical device in the interval (T, T + Δ T), where T is the lifetime of the component and T is the time.
When a fault occurs, the average value of the time period from the system starting to normally operate to the fault is the use frequency value of the medical instrument, and within a certain time t, a certain detection time point exists according to the use frequency value of the equipment, and the time point meets the following requirements to some extent:
wherein n is the number of times of detection,
in order to detect the time values of the time series,
for the purpose of the cost of each examination,c is a frequency value of the medical instrument usage,
indicates the time of the nth detection,
indicates the time of the (n + 1) th detection,
is a density probability function.
It should be noted that, as can be seen from this, under the frequency value of the usage of the device, the optimal time point of detecting the device can be obtained from the detection time sequence function, so that each component can be detected in the detection time point in a targeted manner, and the maintenance frequency of the medical instrument is reduced, thereby facilitating the supervision of the medical instrument by the hospital department and further facilitating the reasonable allocation of hospital resources. The probability value P of the fault of the part increases along with the increase of the use frequency of the equipment along with the use time within the service life of the part, and the probability value P has a certain positive correlation relationship, such as the probability value P increases in a logarithmic relationship within one period of use time, the probability value P increases in a positive correlation relationship within another period of time, and the like.
It should be noted that each component has a certain natural replacement period value, when the component service time of the medical device is longer than the natural replacement period of the component of the medical device, where the natural replacement period is the maximum service life given by the supplier, and when the natural replacement periods of a plurality of components are the same, the maximum value of the first maintenance period is calculated as the total maintenance period.
In addition, the method also comprises the following steps:
receiving the running states of all parts of the medical instrument uploaded by fixed-point maintainers;
judging whether the running state has defects or not;
when the part has defects, immediately updating the overhaul period and shortening the overhaul period to frequently check the running state of the part, acquiring the running states of other parts connected with the part, establishing a correlation prediction model based on a neural network, and importing the running state of the part into the correlation prediction model for training;
importing the operation states of the other parts connected with the part into an associated prediction model to predict the probability value of the other parts having faults;
and when the probability value is greater than a preset probability threshold value, shortening the overhaul period of other parts.
It should be noted that, because the states of the components in the system are not completely independent from each other, it can be understood that the defect of a certain component may cause the performance of the associated component in the medical apparatus to have a certain influence, so that by the method, the fault can be effectively found in time by shortening the maintenance period, thereby avoiding the occurrence probability of a large fault of the medical apparatus, reducing the maintenance period, and also facilitating the reduction of the maintenance cost. The relevance prediction model can be expressed in that if the part A fails, the part B is paralyzed; and if the C part fails, the D part is slightly influenced, and the like.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A supervision method for medical equipment maintenance is characterized by comprising the following steps:
receiving fault information of the medical instrument input by a user, wherein the fault information comprises a fault part, the service life of the fault part, the service time of the fault part and the damage degree of the fault part;
acquiring a supplier of the part corresponding to the fault based on the fault information, acquiring the geographical position of the supplier through a big data network, acquiring the geographical position of a current hospital, and estimating a transportation cycle according to the geographical position of the supplier and the geographical position of the current hospital to obtain a first maintenance cycle;
estimating a maintenance period according to the damage degree of the fault part to obtain a second maintenance period;
calculating a total maintenance period based on the first maintenance period and the second maintenance period;
and predicting the time for putting into the current hospital according to the total maintenance period.
2. The method according to claim 1, wherein the step of calculating a total maintenance period based on the first maintenance period and the second maintenance period includes the following steps:
obtaining a total maintenance period based on the sum of the first maintenance period and the second maintenance period;
screening out a total maintenance cycle according to the size of the total maintenance cycle of the fault parts, which is specifically as follows:
if n fault parts need to be maintained, n total maintenance periods exist, and the total maintenance period of the maximum value is obtained by comparing the n total maintenance periods.
3. The method of claim 1, further comprising the steps of:
judging whether the service time of the failed part is within the service life of the failed part or not;
if yes, selecting maintenance or replacement according to the damage degree of the part, and calculating the total maintenance period; when maintenance is carried out, a first maintenance period and a second maintenance period are calculated; when the replacement is carried out, calculating a first maintenance period;
and if not, replacing the failed part, and recalculating a total maintenance period, wherein the total maintenance period of the replaced part is equal to the first maintenance period.
4. The method of claim 1, further comprising the steps of:
acquiring the use condition of the current medical instrument, wherein the use condition comprises the use time of the medical instrument, the use frequency of the medical instrument and the natural replacement period of each part of the medical instrument;
establishing a fault probability density model based on the use frequency of the medical instrument and the use time of the medical instrument;
and obtaining an optimal detection time sequence according to the fault probability density model, and obtaining a time point for detecting the medical instrument from the optimal detection time sequence.
5. The method of claim 4, further comprising the steps of:
judging whether the service time of the parts of the medical instrument is longer than the natural replacement period of the parts of the medical instrument;
and if the total maintenance period is larger than the preset value, replacing the part, and calculating the total maintenance period for replacing the part, wherein if the natural replacement periods of the n parts are the same, the maximum value in the n first maintenance periods is extracted as the final total maintenance period.
6. A supervision system for medical equipment maintenance is characterized in that the supervision system comprises a memory and a processor, wherein the memory comprises a supervision method program for medical equipment maintenance, and the supervision method program for medical equipment maintenance realizes the following steps when being executed by the processor:
receiving fault information of the medical instrument input by a user, wherein the fault information comprises a fault part, the service life of the fault part, the service time of the fault part and the damage degree of the fault part;
acquiring a supplier of the part corresponding to the fault based on the fault information, acquiring the geographical position of the supplier through a big data network, acquiring the geographical position of a current hospital, and estimating a transportation cycle according to the geographical position of the supplier and the geographical position of the current hospital to obtain a first maintenance cycle;
estimating a maintenance period according to the damage degree of the fault part to obtain a second maintenance period;
calculating a total maintenance period based on the first maintenance period and the second maintenance period;
and predicting the time for putting into the current hospital according to the total maintenance period.
7. The system for supervising maintenance of medical equipment according to claim 6, wherein the calculating of the total maintenance period based on the first maintenance period and the second maintenance period comprises:
obtaining a total maintenance period based on the sum of the first maintenance period and the second maintenance period;
screening out a total maintenance cycle according to the size of the total maintenance cycle of the fault parts, which is specifically as follows:
if n fault parts need to be maintained, n total maintenance periods exist, and the total maintenance period of the maximum value is obtained by comparing the n total maintenance periods.
8. The system of claim 6, further comprising the steps of:
judging whether the service time of the failed part is within the service life of the failed part or not;
if yes, selecting maintenance or replacement according to the damage degree of the part, and calculating the total maintenance period; when maintenance is carried out, a first maintenance period and a second maintenance period are calculated; when the replacement is carried out, calculating a first maintenance period;
and if not, replacing the failed part, and recalculating a total maintenance period, wherein the total maintenance period of the replaced part is equal to the first maintenance period.
9. The system of claim 6, further comprising the steps of:
acquiring the use condition of the current medical instrument, wherein the use condition comprises the use time of the medical instrument, the use frequency of the medical instrument and the natural replacement period of each part of the medical instrument;
establishing a fault probability density model based on the use frequency of the medical instrument and the use time of the medical instrument;
obtaining an optimal detection time sequence according to the fault probability density model, and obtaining a time point for detecting the medical instrument from the optimal detection time sequence;
judging whether the service time of the parts of the medical instrument is longer than the natural replacement period of the parts of the medical instrument;
and if the total maintenance period is larger than the preset value, replacing the part, and calculating the total maintenance period for replacing the part, wherein if the natural replacement periods of the n parts are the same, the maximum value in the n first maintenance periods is extracted as the final total maintenance period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111330441.4A CN113779896A (en) | 2021-11-11 | 2021-11-11 | Supervision method and system for medical instrument maintenance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111330441.4A CN113779896A (en) | 2021-11-11 | 2021-11-11 | Supervision method and system for medical instrument maintenance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113779896A true CN113779896A (en) | 2021-12-10 |
Family
ID=78873753
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111330441.4A Withdrawn CN113779896A (en) | 2021-11-11 | 2021-11-11 | Supervision method and system for medical instrument maintenance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113779896A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104412283A (en) * | 2012-07-05 | 2015-03-11 | 弗莱克斯电子有限责任公司 | Method and system for controlling supply chains |
| CN109119147A (en) * | 2018-08-02 | 2019-01-01 | 深圳智达机械技术有限公司 | A kind of hospital digitisation Managerial System of Medical Equipment |
| CN111462886A (en) * | 2020-04-13 | 2020-07-28 | 赤峰市医院 | Full life cycle real-time online management system for medical equipment |
| CN112435738A (en) * | 2020-11-30 | 2021-03-02 | 广东春草科技股份有限公司 | Medical equipment maintenance record system |
-
2021
- 2021-11-11 CN CN202111330441.4A patent/CN113779896A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104412283A (en) * | 2012-07-05 | 2015-03-11 | 弗莱克斯电子有限责任公司 | Method and system for controlling supply chains |
| CN109119147A (en) * | 2018-08-02 | 2019-01-01 | 深圳智达机械技术有限公司 | A kind of hospital digitisation Managerial System of Medical Equipment |
| CN111462886A (en) * | 2020-04-13 | 2020-07-28 | 赤峰市医院 | Full life cycle real-time online management system for medical equipment |
| CN112435738A (en) * | 2020-11-30 | 2021-03-02 | 广东春草科技股份有限公司 | Medical equipment maintenance record system |
Non-Patent Citations (1)
| Title |
|---|
| 李阳等: "基于决策满意度的装备备件配置仿真优化方法", 《火力与指挥控制》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9720823B2 (en) | Free memory trending for detecting out-of-memory events in virtual machines | |
| US20160371170A1 (en) | Stateful detection of anomalous events in virtual machines | |
| CN102713862B (en) | Error cause extraction device, failure cause extracting method and program recorded medium | |
| EP2911060B1 (en) | Method and device for determining resource leakage and for predicting resource usage state | |
| US20120072780A1 (en) | Continuous System Health Indicator For Managing Computer System Alerts | |
| JP2012221508A (en) | System and computer readable medium for predicting patient outcomes | |
| CN107992410B (en) | Software quality monitoring method and device, computer equipment and storage medium | |
| US10324784B2 (en) | Mitigating crashes of an application server executing a monitoring agent | |
| CN111857555B (en) | Method, apparatus and program product for avoiding failure events for disk arrays | |
| CN111314173A (en) | Monitoring information abnormity positioning method and device, computer equipment and storage medium | |
| CN109117298A (en) | A kind of hardware fault restorative procedure, device and equipment | |
| CN113190415A (en) | Internet hospital system monitoring method, equipment, storage medium and program product | |
| CN107993707A (en) | The maintaining method and device of a kind of error code information | |
| CN112420211B (en) | Early warning method and device for unknown infectious diseases, electronic equipment and computer medium | |
| CN110704313B (en) | JAVA virtual machine memory leakage detection method and device | |
| WO2008050323A2 (en) | Method for measuring health status of complex systems | |
| CN113779896A (en) | Supervision method and system for medical instrument maintenance | |
| CN114837902B (en) | Health degree evaluation method, system, equipment and medium for wind turbine generator | |
| CN113835961B (en) | Alarm information monitoring method, device, server and storage medium | |
| CN113744860A (en) | Evaluation method for configuration decision of radiation equipment | |
| CN114598621A (en) | Power communication network reliability assessment system | |
| CN114266501A (en) | Automatic prediction and root cause analysis method and system for hospital operation index | |
| CN112395167A (en) | Operation fault prediction method and device and electronic equipment | |
| Huang et al. | Variation prediction in clinical processes | |
| CN114239870A (en) | Health state detection method, system and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20211210 |
|
| WW01 | Invention patent application withdrawn after publication |