CN110988560A - Medical equipment fault detection system and method based on real-time current - Google Patents
Medical equipment fault detection system and method based on real-time current Download PDFInfo
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- CN110988560A CN110988560A CN201911330432.8A CN201911330432A CN110988560A CN 110988560 A CN110988560 A CN 110988560A CN 201911330432 A CN201911330432 A CN 201911330432A CN 110988560 A CN110988560 A CN 110988560A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/16566—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533
- G01R19/16571—Circuits and arrangements for comparing voltage or current with one or several thresholds and for indicating the result not covered by subgroups G01R19/16504, G01R19/16528, G01R19/16533 comparing AC or DC current with one threshold, e.g. load current, over-current, surge current or fault current
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
Abstract
The invention relates to the field of equipment maintenance, and particularly discloses a medical equipment fault detection system and method based on real-time current, wherein the system comprises: the current detection module is used for acquiring the input current of the equipment in real time; the processing module is used for acquiring the input current from the current detection module, comparing and analyzing the input current with the prestored fault current characteristics, judging whether the equipment is in fault at present and outputting a judgment result; and the wireless module is used for sending the judgment result outwards when the equipment fails. By adopting the technical scheme of the invention, the current change of the medical equipment can be detected in real time and the fault type can be automatically judged.
Description
Technical Field
The invention relates to the field of equipment maintenance, in particular to a medical equipment fault detection system and method based on real-time current.
Background
At present, fault equipment is treated in a mode of after maintenance, namely, after a fault occurs, the phenomenon and the fault position of the equipment are checked, the fault reason is pushed backwards, and finally, a fault solution is provided. Such a processing method takes much time from fault finding to fault removing, and is inefficient.
At present, no matter large-scale hospitals, secondary hospitals and community hospitals all have a lot of medical equipment, and the large-scale hospitals, secondary hospitals and community hospitals all face huge pressure of equipment maintenance guarantee. Due to the rapid growth of equipment, coupled with the lack of maintenance engineers, it has been difficult to meet the needs of these hospitals by addressing medical equipment failures in a traditional post-maintenance manner.
To this end, chinese patent publication No. CN105277771B discloses a fault current detection circuit, which includes a primary current transformer for detecting current; a pair of secondary current transformers for converting the current detection signal into a secondary conversion signal having a small current; a fault detection circuit section for determining whether or not a fault current occurs by comparing a current value corresponding to the secondary switching signal with a predetermined reference current value; a surge detection circuit section for determining whether or not a surge current occurs in the power circuit; and a trip determination unit receiving the fault detection signal and the surge detection signal and generating a trip control signal when at least one of the fault detection signal and the surge detection signal is received.
The scheme can trip when the current of the external power grid is abnormal so as to avoid damaging equipment and reduce the probability of equipment failure; but the circuit change caused by the internal fault of the equipment cannot be monitored and processed in time.
For this reason, a system capable of detecting a current change inside the medical device in real time and automatically determining the type of the fault is required.
Disclosure of Invention
The invention provides a medical equipment fault detection system and method based on real-time current, which can detect the current change of medical equipment in real time and automatically judge the fault type.
In order to solve the technical problem, the present application provides the following technical solutions:
a real-time current based medical device fault detection system, comprising:
the current detection module is used for acquiring the input current of the equipment in real time;
the processing module is used for acquiring the input current from the current detection module, comparing and analyzing the input current with the prestored fault current characteristics, judging whether the equipment is in fault at present and outputting a judgment result;
and the wireless module is used for sending the judgment result outwards when the equipment fails.
The basic scheme principle and the beneficial effects are as follows:
in the scheme, the input current of the equipment is acquired in real time through the current detection module, just like a doctor pulse taking the patient, the processing module compares and analyzes the input current with the prestored fault current characteristics to judge whether the equipment is in fault or not at present, and the condition of health (intact) of the equipment is judged through the change of pulse conditions (current). When equipment breaks down, the current at the moment of the fault and in a certain time before the fault happens changes, so that the fault can be automatically found through the comparison analysis processing module; the wireless module sends the judgment result outwards, so that an engineer can quickly confirm the fault type and timely deal with the fault type.
Further, the processing module acquires an input current and generates input current waveform data; the processing module is also used for comparing and analyzing the input current waveform data with the fault current characteristics.
Compared with the comparative analysis only through the current value, the comparative analysis through the current waveform data has more accurate results.
Further, the processing module comprises a processing unit and a storage unit, wherein the storage unit is used for storing the fault current characteristics; the fault current characteristics comprise fault current waveform data from before the fault occurs to the moment of the fault occurs; the processing unit is used for comparing and analyzing the input current waveform data and the fault current waveform data.
Through storing fault current waveform data from before the fault occurs to the moment of the fault occurrence, comparison and judgment at the later stage are facilitated, and the judgment accuracy can be improved.
And the terminal module is used for receiving the judgment result sent by the wireless module.
When the terminal module is held by an engineer, the judgment result can be timely received, and the engineer can be helped to quickly confirm the fault and maintain the terminal module.
Further, the system also comprises a central server, and the central server is used for receiving the judgment result sent by the wireless module.
Through the central server, the medical equipment fault condition can be uniformly monitored, and corresponding engineers can be timely distributed for processing.
Further, the judgment result includes a fault type and a fault time.
For example, when an engineer receives a fault type, a corresponding maintenance tool can be prepared in advance and whether a replacement part needs to be carried or not can be judged; by means of the fault time and the fault type, engineers can also evaluate the impact caused by the fault in time.
A real-time current-based medical equipment fault detection method comprises the following steps:
s1, the current detection module collects the input current of the equipment in real time;
s2, the processing module acquires the input current from the current detection module, compares and analyzes the input current with the prestored fault current characteristics, judges whether the equipment is in fault at present and outputs a judgment result;
and S3, the wireless module sends the judgment result to the outside when the equipment fails.
In the scheme, the input current of the equipment is acquired in real time through the current detection module, just like a doctor pulse taking the patient, the processing module compares and analyzes the input current with the prestored fault current characteristics to judge whether the equipment is in fault or not at present, and the condition of health (intact) of the equipment is judged through the change of pulse conditions (current). When equipment breaks down, the current at the moment of the fault and in a certain time before the fault happens changes, so that the fault can be automatically found through comparative analysis; the wireless module sends the judgment result outwards, so that an engineer can quickly confirm the fault type and timely deal with the fault type.
Further, in S2, the processing module includes a processing unit and a storage unit, and the storage unit is used for storing the fault current characteristics; the fault current characteristics comprise fault current waveform data from before the fault occurs to the moment of the fault occurs; the processing unit acquires input current and generates input current waveform data; the processing unit is used for comparing and analyzing the input current waveform data and the fault current waveform data.
Compared with the comparative analysis only through the current value, the comparative analysis through the current waveform data has more accurate results.
Further, in S2, the determination result includes a failure type and a failure time.
For example, when an engineer receives a fault type, a corresponding maintenance tool can be prepared in advance and whether a replacement part needs to be carried or not can be judged; through the fault time and the fault type, an engineer can also judge the influence caused by the fault in time.
Further, the method further comprises step S4, where the terminal module and/or the central server is configured to receive the determination result sent by the wireless module.
When the terminal module is held by an engineer, the judgment result can be timely received, and the engineer can be helped to quickly confirm the fault and maintain the terminal module. And the central server is favorable for uniformly monitoring the fault condition of the medical equipment and timely distributing the treating persons.
Drawings
Fig. 1 is a logic block diagram of a first embodiment of a real-time current-based medical device fault detection system.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, a real-time current-based medical device fault detection system of the present embodiment includes a current detection module, a processing module, and a wireless module.
The current detection module is used for acquiring the input current of the equipment in real time. In this embodiment, the current detection module adopts PZEM-002 type electric power monitor, and its operating voltage is 80 ~ 260V, and electric current 20A can satisfy general medical equipment's detection demand. When the device is used, the current detection module is connected in series with a power line of the medical device to be detected.
The processing module comprises a processing unit and a storage unit, and the storage unit is used for storing fault current characteristics; the fault current characteristics comprise fault current waveform data from before the fault occurs to the moment of the fault occurs; the processing unit is used for acquiring the input current from the current detection module and generating input current waveform data according to the input current. The processing unit is also used for comparing and analyzing the input current waveform data and the fault current waveform data. And judging whether the equipment is in fault at present, and outputting a judgment result. In the embodiment, the processing unit adopts an MCU (microprogrammed control unit), specifically an STM32 series single chip microcomputer; the storage unit adopts a read-only memory.
And the wireless module is used for acquiring the judgment result from the processing unit and sending the judgment result to the outside when the equipment fails. In this embodiment, the determination result includes a failure type and a failure time. The wireless module adopts a bluetooth module, a WIFI module, a 4G module or a 5G module, and in this embodiment, the WIFI module is specifically adopted.
The embodiment of the medical equipment fault detection system based on the real-time current also provides a medical equipment fault detection method based on the real-time current, which comprises the following steps:
s1, the current detection module collects the input current of the equipment in real time;
s2, the processing unit acquires the input current and generates input current waveform data; the processing unit compares and analyzes the input current waveform data with fault current waveform data prestored in the storage unit; judging whether the equipment is in fault at present, and outputting a judgment result; in this embodiment, the determination result includes a failure type and a failure time.
And S3, when the equipment is in failure, the wireless module acquires the judgment result from the processing unit and sends the judgment result to the outside.
The operating current of equipment is I, connects current detection module into the power cord of equipment in series on, because mains voltage is constant for U, and equipment internal resistance is R, according to formula I U/R, has the module to break down when equipment is inside, and then internal resistance R changes, and equipment operating current I that also can detect can change, from this the trouble in the preliminary positioning system.
Example two
The difference between this embodiment and the first embodiment is that, in this embodiment, the medical device fault detection system based on real-time current further includes a terminal module and/or a central server, and both the terminal module and the central server are used for receiving the determination result sent by the wireless module. In the present embodiment, all of the above are included.
In this embodiment, the method for detecting the fault of the medical device based on the real-time current further includes step S4, where the terminal module and/or the central server is configured to receive the determination result sent by the wireless module.
EXAMPLE III
The difference between the present embodiment and the second embodiment is that, in the present embodiment, in a medical device fault detection system based on real-time current, a Flash chip is used as a storage unit. The central server is also used for sending fault current characteristic updating information to the wireless module, and the processing unit is used for updating the fault current characteristics in the storage unit according to the fault current characteristic updating information.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. A real-time current based medical device fault detection system, comprising:
the current detection module is used for acquiring the input current of the equipment in real time;
the processing module is used for acquiring the input current from the current detection module, comparing and analyzing the input current with the prestored fault current characteristics, judging whether the equipment is in fault at present and outputting a judgment result;
and the wireless module is used for sending the judgment result outwards when the equipment fails.
2. The real-time current based medical device fault detection system of claim 1, wherein: the processing module acquires input current and generates input current waveform data; the processing module is also used for comparing and analyzing the input current waveform data with the fault current characteristics.
3. The real-time current based medical device fault detection system of claim 2, wherein: the processing module comprises a processing unit and a storage unit, and the storage unit is used for storing fault current characteristics; the fault current characteristics comprise fault current waveform data from before the fault occurs to the moment of the fault occurs; the processing unit is used for comparing and analyzing the input current waveform data and the fault current waveform data.
4. The real-time current based medical device fault detection system of claim 3, wherein: the terminal module is used for receiving the judgment result sent by the wireless module.
5. The real-time current based medical device fault detection system of claim 3, wherein: the wireless module is used for receiving the judgment result sent by the wireless module.
6. The real-time current based medical device fault detection system of claim 3, wherein: the judgment result comprises a fault type and fault time.
7. A real-time current-based medical equipment fault detection method is characterized by comprising the following steps:
s1, the current detection module collects the input current of the equipment in real time;
s2, the processing module acquires the input current from the current detection module, compares and analyzes the input current with the prestored fault current characteristics, judges whether the equipment is in fault at present and outputs a judgment result;
and S3, the wireless module sends the judgment result to the outside when the equipment fails.
8. The real-time current based medical device fault detection method of claim 7, wherein: in S2, the processing module includes a processing unit and a storage unit, and the storage unit is used for storing the fault current characteristics; the fault current characteristics comprise fault current waveform data from before the fault occurs to the moment of the fault occurs; the processing unit acquires input current and generates input current waveform data; the processing unit is used for comparing and analyzing the input current waveform data and the fault current waveform data.
9. The real-time current based medical device fault detection method of claim 8, wherein: in S2, the determination result includes a failure type and a failure time.
10. The real-time current based medical device fault detection method of claim 9, wherein: and S4, the terminal module and/or the central server is used for receiving the judgment result sent by the wireless module.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111913022A (en) * | 2020-07-30 | 2020-11-10 | 青岛歌尔微电子研究院有限公司 | Current failure analysis method of system packaging product |
| CN112903327A (en) * | 2021-01-26 | 2021-06-04 | 普天数字健康城市科技有限公司 | Medical equipment fault detection method based on deep learning |
| CN113203975A (en) * | 2021-07-06 | 2021-08-03 | 武汉磐电科技股份有限公司 | Online monitoring method and device for voltage transformer of transformer substation |
| CN115157324A (en) * | 2022-08-29 | 2022-10-11 | 湖南医科医工科技有限公司 | Fault protection system and method for surgical robot |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102354404A (en) * | 2011-10-11 | 2012-02-15 | 刘海燕 | Recorder for recording running status of medical equipment and recording method thereof |
| CN105676067A (en) * | 2016-01-26 | 2016-06-15 | 云南电网有限责任公司电力科学研究院 | Fault diagnosis method and system of power transmission lines |
| CN108254641A (en) * | 2017-12-20 | 2018-07-06 | 北京惠泽智信科技有限公司 | A kind of Medical Devices state identification method and device |
| CN108520080A (en) * | 2018-05-11 | 2018-09-11 | 武汉理工大学 | Automatic system of marine diesel-generator failure predication and health status online evaluation system and method |
| CN110115562A (en) * | 2019-05-14 | 2019-08-13 | 中国人民解放军陆军特色医学中心 | A kind of Multi-stage alarming prompt system and method applied to intensive care unit |
| CN209356220U (en) * | 2019-01-25 | 2019-09-06 | 丹娜（天津）生物科技有限公司 | A kind of Medical Devices remote technology support system |
| CN110441629A (en) * | 2019-07-29 | 2019-11-12 | 交控科技股份有限公司 | Method for diagnosing faults and device based on point machine action current curve |
| CN110530625A (en) * | 2019-09-17 | 2019-12-03 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of high voltage isolator mechanical fault diagnosis device and method |
-
2019
- 2019-12-20 CN CN201911330432.8A patent/CN110988560A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102354404A (en) * | 2011-10-11 | 2012-02-15 | 刘海燕 | Recorder for recording running status of medical equipment and recording method thereof |
| CN105676067A (en) * | 2016-01-26 | 2016-06-15 | 云南电网有限责任公司电力科学研究院 | Fault diagnosis method and system of power transmission lines |
| CN108254641A (en) * | 2017-12-20 | 2018-07-06 | 北京惠泽智信科技有限公司 | A kind of Medical Devices state identification method and device |
| CN108520080A (en) * | 2018-05-11 | 2018-09-11 | 武汉理工大学 | Automatic system of marine diesel-generator failure predication and health status online evaluation system and method |
| CN209356220U (en) * | 2019-01-25 | 2019-09-06 | 丹娜（天津）生物科技有限公司 | A kind of Medical Devices remote technology support system |
| CN110115562A (en) * | 2019-05-14 | 2019-08-13 | 中国人民解放军陆军特色医学中心 | A kind of Multi-stage alarming prompt system and method applied to intensive care unit |
| CN110441629A (en) * | 2019-07-29 | 2019-11-12 | 交控科技股份有限公司 | Method for diagnosing faults and device based on point machine action current curve |
| CN110530625A (en) * | 2019-09-17 | 2019-12-03 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of high voltage isolator mechanical fault diagnosis device and method |
Non-Patent Citations (4)
| Title |
|---|
| 冯如鹤等: "基于电流变化率的短路检测保护方法", 《煤矿机械》 * |
| 王久和等: "井下短路电流快速检测的研究", 《电工技术杂志》 * |
| 蒋立刚 等: "《现代设备管理、故障诊断及维修技术》", 31 May 2010, 哈尔滨工程大学出版社 * |
| 高彦等: "基于电流变化率的矿井电缆短路电流检测的研究", 《煤炭工程》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111913022A (en) * | 2020-07-30 | 2020-11-10 | 青岛歌尔微电子研究院有限公司 | Current failure analysis method of system packaging product |
| CN112903327A (en) * | 2021-01-26 | 2021-06-04 | 普天数字健康城市科技有限公司 | Medical equipment fault detection method based on deep learning |
| CN113203975A (en) * | 2021-07-06 | 2021-08-03 | 武汉磐电科技股份有限公司 | Online monitoring method and device for voltage transformer of transformer substation |
| CN115157324A (en) * | 2022-08-29 | 2022-10-11 | 湖南医科医工科技有限公司 | Fault protection system and method for surgical robot |
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