CN106647707A - Simple medical equipment management control system - Google Patents
Simple medical equipment management control system Download PDFInfo
- Publication number
- CN106647707A CN106647707A CN201611200979.2A CN201611200979A CN106647707A CN 106647707 A CN106647707 A CN 106647707A CN 201611200979 A CN201611200979 A CN 201611200979A CN 106647707 A CN106647707 A CN 106647707A
- Authority
- CN
- China
- Prior art keywords
- information
- subsystem
- medical equipment
- control system
- controller
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
The invention provides a simple medical equipment management control system, and the system comprises an information management subsystem, an identity recognition subsystem, and a control subsystem. The information management subsystem is used for managing the medical activity information of a patient in a hospital. The identity recognition subsystem is used for obtaining the identity information of a user of medical equipment. The control subsystem is connected with the medical equipment in the hospital, carries out the judgment of the medical activity information, corresponding to the identity information, in the information management subsystem, and controls the on/off of the medical equipment according to a judgment result. The system can achieve the standardized control of the use of the medical equipment.
Description
Technical field
The present invention relates to field of medical technology, and in particular to a kind of easy medical equipment management control system.
Background technology
In correlation technique, there is the situation that charge privately and man-weapon system are checked in the management of medical equipment in hospital so that doctor
The problem of business personnel abuse Medical Devices is increasingly severe, affects the operational paradigm and economic benefit of hospital.
The content of the invention
For the problems referred to above, the present invention provides a kind of easy medical equipment management control system.
The purpose of the present invention employs the following technical solutions to realize：
A kind of easy medical equipment management control system, including information management subsystem, identification subsystem and control
Subsystem, described information management subsystem is used for curative activity information of the managed care patient in hospital；The identification
Subsystem is used to obtain the identity information of Medical Devices person to be used；The control subsystem connects the Medical Devices of hospital, its
Curative activity information corresponding with identity information in information management subsystem is judged, according to judged result control medical treatment
The break-make of equipment.
Beneficial effects of the present invention are：Other shapes of person to be used are obtained from information management subsystem by identity information
State information, such as whether registering, going to a doctor to section office, if paid using expense needed for Medical Devices etc., further according to hospital
Management rule judge whether person to be used meets using the condition of Medical Devices, the logical of Medical Devices is controlled according to judged result
It is disconnected, so as to the use of normalizable control Medical Devices.
Description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structured flowchart of the present invention；
Fig. 2 is the structured flowchart of fault detection module.
Reference：
Information management subsystem 1, identification subsystem 2, control subsystem 3, controller 4, fault detection module 5, reality
When monitoring submodule 11, accident analysis detection sub-module 12, feature extraction unit 10, information sifting unit 20, accident analysis inspection
Survey unit 30.
Specific embodiment
With the following Examples the invention will be further described.
A kind of easy medical equipment management control system as shown in Figure 1, including the knowledge of information management subsystem 1, identity
Small pin for the case system 2 and control subsystem 3, described information management subsystem 1 is used for managed care patient to be believed in the curative activity of hospital
Breath；The identification subsystem 2 is used to obtain the identity information of Medical Devices person to be used；The control subsystem 3 connects
The Medical Devices of hospital, it is judged curative activity information corresponding with identity information in information management subsystem 1, root
It is judged that the break-make of output control Medical Devices.
Preferably, the control subsystem 3 includes the controller 4 for controlling the break-make of Medical Devices.
Preferably, the control subsystem 3 also includes the fault detection module 5 for detecting the failure of the controller 4.
The above embodiment of the present invention obtains other states of person to be used by identity information from information management subsystem 1
Information, such as whether registering, going to a doctor to section office, if paid using expense needed for Medical Devices etc., further according to hospital
Management rule judges whether person to be used meets using the condition of Medical Devices, and according to judged result the logical of Medical Devices is controlled
It is disconnected, so as to the use of normalizable control Medical Devices.
Preferably, as shown in Fig. 2 the fault detection module 5 includes real-time monitoring submodule 11 and accident analysis detection
Module 12, the real-time monitoring submodule 11 is used for by multiple sensors to reflecting the state of its working condition in controller 4
Parameter index is monitored, and the accident analysis detection sub-module 12 is used for the information arrived according to multiple Sensor monitorings to control
Device 4 carries out fault detect.Wherein, the accident analysis detection sub-module 12 includes feature extraction unit 10, information sifting unit
20 and accident analysis detector unit 30；The feature extraction unit 10 be used for multiple Sensor monitorings to information be filtered
Process, eliminate the interference of noise, then carry out feature extraction respectively；Described information screening unit 20 is used for the feature to extracting to be carried out
Screening, draws the characteristic information for carrying out fault diagnosis；The accident analysis detector unit 30 is used for according to the spy for filtering out
Reference breath carries out fault detect.
Preferably, the feature of described pair of extraction is screened, and draws the characteristic information for carrying out fault diagnosis, concrete bag
Include：
(1) define relative Link Importance and be characterized significance level of the variable to the performance impact of controller 4, calculate characteristic information
In characteristic variable relative Link Importance：
In formula, SiIt is characterized the relative Link Importance of ith feature variable in information, S (Aj) be by j-th expert group according to
The weight that historical experience determines, D is the number of expert group, and S (B) is the objective weight obtained using principal component analytical method；
In addition, J1For the first weight Dynamic gene, J2For the second weight Dynamic gene, J1、J2Value enter according to actual needs
Row adjustment；
(2) order according to relative Link Importance from big to small carries out order sequence to all characteristic variables, before filtering out
80% characteristic variable, as carrying out the characteristic variable data of fault diagnosis.
On the one hand, this preferred embodiment excludes unnecessary data according to above-mentioned screening mode, saves data processing
Time, improve carries out the speed of fault diagnosis to controller 4；
On the other hand, the formula of the self-defining relative Link Importance, can show attention journey of the expert to each characteristic variable
Degree, it is contemplated that the situation of characteristic variable physical meaning, and weight Dynamic gene is set so that the relative Link Importance of characteristic variable
More science is calculated, the accuracy of Feature Selection is improve, it is ensured that the precision to the fault diagnosis of controller 4.
Preferably, described information screening unit 20 also calculate qualified all characteristic variables relative Link Importance it
With ∑ S100, and calculate the corresponding relative Link Importance sum ∑ S of the characteristic variable of residue 20% not filtered out20, and then basis
∑S100With ∑ S20Screening and optimizing coefficient is calculated, as the data of consequent malfunction detection, the wherein calculating of screening and optimizing coefficient H
Formula is defined as：
In formula, D is the number of expert group.
Preferably, the accident analysis detector unit 30 carries out specifically being performed during fault detect：
(1) metric range of each characteristic variable is calculated, if RχIt is characterized variable XχTo standard feature variable YχTolerance away from
From wherein XχFor the χ characteristic variable in the characteristic variable data of monitoring collection, YχIt is and XχIt is corresponding in health status
When standard feature variable, then：
In formula, MR (Xχ,Yχ) it is characterized variable XχTo standard feature variable YχMahalanobis distance, OR (Xχ,Yχ) it is characterized change
Amount XχTo standard feature variable YχEuclidean distance,It is standard feature variable YχCorrelation matrix, H is by information sifting
The calculated screening and optimizing coefficient of unit 20；
(2) different types of fault cluster threshold value is preset, if RχWithin certain fault cluster threshold value, then judge
For this kind of failure.
This preferred embodiment when calculating in the metric range for carrying out each characteristic variable in order to take into account the correlation of characteristic variable
And independence, employ the mode that mahalanobis distance and Euclidean distance combine so that the calculating of the metric range of each characteristic variable
It is more accurate, be conducive to more accurately carrying out fault diagnosis to controller 4；
In addition, this preferred embodiment utilizes screening and optimizing coefficient, the calculating to metric range to be optimized, do not increasing
Ensure the integrality that data are taken in the case of many amounts of calculation, it is ensured that the accuracy of result of calculation, so as to event occur in controller 4
On-call maintenance can be in time detected and carried out during barrier, it is ensured that the normal operation of medical equipment management control system.
Preferably, when the accident analysis detector unit 30 carries out fault detect according to the characteristic information for filtering out, specifically
Perform：
(1) the random sample set { Z=Y (h) of sufficient amount M of the acquisition controller 4 under h kind malfunctionsP, P=
1,2 ..., M, wherein, random sample YhP represents the metric range of characteristic variable XP；
(2) standard deviation v of the random sample collection is calculatedhWith desired value μh；
(3) fault cluster threshold value T of the controller 4 under h kind malfunctions is sethFor：
Wherein,For desired value μhMaximal possibility estimation,For standard deviation vhMaximal possibility estimation.
This preferred embodiment is carrying out when presetting of different types of fault cluster threshold value, and data basis are from control
Sufficient amount of random sample of the device processed 4 under various malfunctions, makes the setting more science of fault cluster threshold value, it is to avoid
The impact of subjective factor, can effectively ensure that carries out the precision of fault detect to controller 4.
Preferably, the accident analysis detector unit 30 is additionally provided with depth fault alarm mechanism occurred frequently, specially：
(1) calculated actual metric range R is recordedχWith desired value μ under h kind malfunctionshActual difference
Q′；
(2) assume that failure mode quantity is m, if o '≤vh, then bulk registration RχInto the number of times G of the scope, work as satisfaction
During following judge formula, then this kind of failure is judged for depth failure occurred frequently, and send corresponding alarm to operations staff：
Wherein Q 'maxWith Q 'minMaximum actual difference and minimum actual difference in respectively this kind fault history,
Q′midAverage actual difference in for this kind of fault history.
This preferred embodiment enables to the fault detection module 5 and the depth and frequency of failure can be pointed out according to historical data
Rate, for the foundation that troubleshooting of the maintenance personal to controller 4 provides more science.
With reference to above-described embodiment, inventor has carried out a series of tests, and the following is carries out testing the experimental data for obtaining：
Above-mentioned experimental data shows that the present invention accurately and fast can carry out fault detect and maintenance to controller 4, by
This understands that the present invention generates the beneficial effect of highly significant in the fault detect application aspect to controller 4.
Finally it should be noted that above example is only illustrating technical scheme, rather than to present invention guarantor
The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (5)
1. a kind of easy medical equipment management control system, is characterized in that, including information management subsystem, identification subsystem
System and control subsystem, described information management subsystem is used for curative activity information of the managed care patient in hospital；The body
Part recognition subsystem is used to obtain the identity information of Medical Devices person to be used；The medical treatment of the control subsystem connection hospital sets
Standby, it is judged curative activity information corresponding with identity information in information management subsystem, according to judged result control
The break-make of Medical Devices processed.
2. a kind of easy medical equipment management control system according to claim 1, is characterized in that, the control subsystem
System includes the controller for controlling the break-make of Medical Devices.
3. a kind of easy medical equipment management control system according to claim 2, is characterized in that, the control subsystem
System also includes the fault detection module for detecting the controller failure.
4. a kind of easy medical equipment management control system according to claim 3, is characterized in that, the fault detect
Module includes real-time monitoring submodule and accident analysis detection sub-module, and the real-time monitoring submodule is used for by multiple sensings
Device is monitored to the state parameter index for reflecting its working condition in controller, and the accident analysis detection sub-module is used for root
According to multiple Sensor monitorings to information fault detect is carried out to controller；Wherein, the accident analysis detection sub-module includes
Feature extraction unit, information sifting unit and accident analysis detector unit；The feature extraction unit is used for multiple sensors
The information for monitoring is filtered process, eliminates the interference of noise, then carries out feature extraction respectively；Described information screening unit is used
In screening to the feature extracted, the characteristic information for carrying out fault diagnosis is drawn；The accident analysis detector unit is used
The characteristic information filtered out in basis carries out fault detect.
5. a kind of easy medical equipment management control system according to claim 4, is characterized in that, described pair extraction
Feature is screened, and is specifically included：
(1) define relative Link Importance and be characterized significance level of the variable to the performance impact of controller 4, in calculating characteristic information
The relative Link Importance of characteristic variable：
In formula, SiIt is characterized the relative Link Importance of ith feature variable in information, S (Aj) it is according to history by j-th expert group
Empirically determined weight, D is the number of expert group, and S (B) is the objective weight obtained using principal component analytical method；
In addition, J1For the first weight Dynamic gene, J2For the second weight Dynamic gene, J1、J2Value adjusted according to actual needs
It is whole；
(2) order according to relative Link Importance from big to small carries out order sequence to all characteristic variables, filters out front 80%
Characteristic variable, as carrying out the characteristic variable data of fault diagnosis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611200979.2A CN106647707B (en) | 2016-12-22 | 2016-12-22 | A kind of easy medical equipment management control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611200979.2A CN106647707B (en) | 2016-12-22 | 2016-12-22 | A kind of easy medical equipment management control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106647707A true CN106647707A (en) | 2017-05-10 |
| CN106647707B CN106647707B (en) | 2019-03-22 |
Family
ID=58826509
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611200979.2A Active CN106647707B (en) | 2016-12-22 | 2016-12-22 | A kind of easy medical equipment management control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106647707B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109712698A (en) * | 2018-12-26 | 2019-05-03 | 河南正向电子科技有限公司 | A kind of Managerial System of Medical Equipment based on image recognition and Identification of Images |
| WO2020051866A1 (en) * | 2018-09-14 | 2020-03-19 | 西安大医集团有限公司 | Method, apparatus and system for diagnosing status of radiotherapy equipment, and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101504539A (en) * | 2008-02-05 | 2009-08-12 | 上海西门子医疗器械有限公司 | Surroundings control system and method for medical equipment |
| CN104238536A (en) * | 2013-06-09 | 2014-12-24 | 南京普爱射线影像设备有限公司 | Medical equipment fault diagnosis method and device based on wireless communication technology |
| CN104238540A (en) * | 2013-06-19 | 2014-12-24 | 上海西门子医疗器械有限公司 | Information acquisition method and device for system abnormity diagnosis and medical device |
| CN105069310A (en) * | 2015-08-21 | 2015-11-18 | 广州创弘医疗科技有限公司 | Simple medical device management control system and control method therefor |
-
2016
- 2016-12-22 CN CN201611200979.2A patent/CN106647707B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101504539A (en) * | 2008-02-05 | 2009-08-12 | 上海西门子医疗器械有限公司 | Surroundings control system and method for medical equipment |
| CN104238536A (en) * | 2013-06-09 | 2014-12-24 | 南京普爱射线影像设备有限公司 | Medical equipment fault diagnosis method and device based on wireless communication technology |
| CN104238540A (en) * | 2013-06-19 | 2014-12-24 | 上海西门子医疗器械有限公司 | Information acquisition method and device for system abnormity diagnosis and medical device |
| CN105069310A (en) * | 2015-08-21 | 2015-11-18 | 广州创弘医疗科技有限公司 | Simple medical device management control system and control method therefor |
Non-Patent Citations (2)
| Title |
|---|
| 中国科学技术协会: "《2012—2013控制科学与工程学科发展报告》", 30 April 2014, 中国学科技术出版社 * |
| 卿三惠 等: "《绿色铁路理论与工程技术》", 31 October 2015, 中国铁道出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020051866A1 (en) * | 2018-09-14 | 2020-03-19 | 西安大医集团有限公司 | Method, apparatus and system for diagnosing status of radiotherapy equipment, and storage medium |
| CN109712698A (en) * | 2018-12-26 | 2019-05-03 | 河南正向电子科技有限公司 | A kind of Managerial System of Medical Equipment based on image recognition and Identification of Images |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106647707B (en) | 2019-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2677927B1 (en) | Respiration monitoring method and system | |
| US9633168B2 (en) | Biometric identity validation for use with unattended tests for medical conditions | |
| US9936923B2 (en) | System and methods for generating predictive combinations of hospital monitor alarms | |
| CN106429689B (en) | Elevator maintenance system based on the support of Internet of Things big data | |
| CN109448865B (en) | ICU Clinical Decision Support Systems | |
| EP2893408A1 (en) | System monitoring | |
| CN104850729A (en) | Monitoring unit for the electronic monitoring of sensor signals within the framework of the monitoring of sepsis and a corresponding process | |
| CN106647707A (en) | Simple medical equipment management control system | |
| CN107145715A (en) | A kind of clinical medical intelligent discriminating gear based on election algorithm | |
| EP3287918A1 (en) | Managing patient devices based on sensor data | |
| CN105654134B (en) | It is a kind of based on the context aware system and its working method and application that have supervision self feed back | |
| CN111554396B (en) | Method and system for centralized patient monitoring management | |
| DE112018001397T5 (en) | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING PROGRAM | |
| CN107661092A (en) | Vital sign state monitoring method and computer-readable recording medium | |
| CN114596521A (en) | Venous transfusion monitoring method and system based on vision measurement | |
| CN106515745B (en) | A kind of control system of automatic Pilot train and platform | |
| CN117219296A (en) | Personnel intelligent health monitoring management method and system | |
| CN111714103A (en) | Health monitoring device for driving test examinees | |
| CN106444689B (en) | Intelligent housing central apparatus based on human body infrared inductor | |
| CN116580359A (en) | Construction personnel severe fatigue detection system and method based on space-time characteristics | |
| CN110675937A (en) | Puncture point positioning method and intelligent management system for puncture | |
| CN107292094A (en) | A kind of medical treatment and nursing method | |
| CN113870988A (en) | Anesthesia workstation operation supervisory systems based on big data analysis | |
| CN114897499A (en) | Method and device for judging working state of staff in scenic spot | |
| CN113303775A (en) | Automatic health detection equipment based on cloud platform and control method thereof |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190226 Address after: Room J1989, 7th Floor, Building 328, Jiajia-Jia Highway, Jiading District, Shanghai, 201800 Applicant after: Shanghai Jinchuang Technology Co. Ltd. Address before: 518000 room 809, Chuang Sheng building, sunny industrial district, Xili street, Nanshan District, Shenzhen, Guangdong. Applicant before: Shenzhen United Automation Control Co., Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |