CN104596564A - System and method for judging fault of sensor - Google Patents
System and method for judging fault of sensor Download PDFInfo
- Publication number
- CN104596564A CN104596564A CN201510058256.2A CN201510058256A CN104596564A CN 104596564 A CN104596564 A CN 104596564A CN 201510058256 A CN201510058256 A CN 201510058256A CN 104596564 A CN104596564 A CN 104596564A
- Authority
- CN
- China
- Prior art keywords
- sensor
- value
- fault
- measured value
- sensor fault
- 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
Abstract
The invention discloses a system and a method for judging fault of sensors. The method includes collecting measuring values of the sensor according to certain sampling frequency; according to the measuring values, respectively calculating average values of the measuring values in a stack, arranging the average values according to numerical magnitude, and calculating a maximum difference value of the average value; if the maximum difference value is higher than a fixed value, judging that the sensor is in a fault; if the measuring value of a certain sensor of a certain time is output to be a full value, judging that the sensor is in a fault. By the system and the method, reliability in judging the fault of the sensor is realized, and effectiveness of the measuring process is guaranteed.
Description
Technical field
The present invention relates to sensor technical field, be specifically related to the system and method that a kind of sensor fault judges.
Background technology
Whether the reliability of industrial sensor measuring system, confidence and measuring accuracy determine measuring system effective, and this directly affects product quality and the production run safety of industrial process.In the military research and production such as explosive wastewater, liquid propellant field, more outstanding to the requirement of the validity of sensor measuring system.The extreme measurement environment such as superhigh temperature, UHV (ultra-high voltage), strong acid-base, Strong oxdiative, corrosivity, easily causes the aging of sensor element, causes measuring system precision to reduce even unreliable.Existing sensor fault decision method is that regular dismounting sensor is given the mechanism possessing specialty verification qualification and carried out specialty and verify, and some industrial occasions, sensor is not quick detachable or cannot dismantle.If verify after dismounting, installation process is complicated and with high content of technology, repeatedly dismantles and easily causes sensor degradation, and after sensor installation, also cannot determine the Accuracy of installation process to sensor measuring system.In field of sensor measurement, never do not occur quick detachable or cannot the survey sensor failure judgment method of stripping assembly.
Summary of the invention
Instant invention overcomes the deficiencies in the prior art, the system and method that a kind of sensor fault judges is provided, reliable, effective for guaranteeing the sensor measurement data under various measurement environment.
Consider the problems referred to above of prior art, according to an aspect disclosed by the invention, the present invention by the following technical solutions:
The system that sensor fault judges, it comprises:
Sensor, for measurement environment signal;
Measurement module, for the measured value according to certain sample frequency pick-up transducers;
Fault verification computing module, for according to described measured value, calculates the mean value of measured value in storehouse respectively, arranges mean value according to numerical values recited, and the maximum difference of calculating mean value; If maximum difference is higher than certain value, then judge sensor fault; If certain measured value of certain sensor exports as full value, also judge sensor fault.
In order to realize the present invention better, further technical scheme is:
According to one embodiment of the invention, the design quantity of described measurement module is identical with number of sensors, capacity is time interval value, data type is the storehouse of floating type, according to FIFO principle, preserves respectively to sampled measurement.
The present invention can also be:
The method that sensor fault judges, it comprises:
The measured value of step one, pick-up transducers;
Step 2, to sampled data respectively stored in storehouse;
Step 3, the statistical average calculated in storehouse;
Step 4, judge whether described statistical average reaches the maximum range of sensor, when described statistical average reaches sensor maximum range, then judge sensor fault; When described statistical average does not reach sensor maximum range, then calculating mean value difference maximal value, if maximal value is greater than permissible value, then judges sensor fault, if maximal value is not greater than permissible value, then returns step one and continues pick-up transducers measured value.
Compared with prior art, one of beneficial effect of the present invention is:
The system and method that a kind of sensor fault of the present invention judges, achieves the reliable judgement of sensor fault, ensure that the validity of measuring process.
Accompanying drawing explanation
In order to clearer explanation present specification embodiment or technical scheme of the prior art, below the accompanying drawing used required in the description to embodiment or prior art is briefly described, apparently, the accompanying drawing that the following describes is only the reference to some embodiments in present specification, for those skilled in the art, when not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 shows the system principle schematic diagram that sensor fault according to an embodiment of the invention judges.
Fig. 2 shows the method flow schematic diagram that sensor fault according to an embodiment of the invention judges.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
As shown in Figure 1, the system that a kind of sensor fault judges, it comprises:
Sensor, for measurement environment signal; Quantity at least 2, and technical parameter is identical, and comprise relevant installation accessories;
Measurement module, for the measured value according to certain sample frequency pick-up transducers; Measurement module can be the metering circuit of designed, designed, or the measurement module, the measurement instrument that adopt ripe microcontroller to set up, or recording instrument without paper, PLC etc.; Measurement module comprises sets up the various indispensable electronic devices and components of Measurement and Control System or module and installation accessories;
Fault verification computing module, for according to described measured value, calculates the mean value of measured value in storehouse respectively, arranges mean value according to numerical values recited, and the maximum difference of calculating mean value; If maximum difference is higher than certain value, then judge sensor fault; If certain measured value of certain sensor exports as full value, also judge sensor fault.Computing module can calculate according to failure judgment method the measurement data that measurement module obtains, and is shown by failure message; Computing module can be special circuit, the special measurement instrument that band stores computing function, can be also industrial computer, require that industrial computer can communicate with measurement module;
The design quantity of described measurement module is identical with number of sensors, capacity is time interval value, data type is the storehouse of floating type, according to FIFO (First In First OUT, first-in first-out) principle, preserves respectively to sampled measurement.
Measure and control device system architecture is to sum up: " sensor+metering circuit module+fault verification computing module ".Its principle is: by sensor measurement ambient signal, obtain measurement data by measurement module, after being calculated, obtains failure determination result by fault verification computing module.
As shown in Figure 2, a kind of method that sensor fault judges, it comprises:
The measured value of step one, pick-up transducers;
Step 2, to sampled data respectively stored in storehouse;
Step 3, the statistical average calculated in storehouse, can arrange according to numerical values recited mean value;
Step 4, judge whether described statistical average reaches the maximum range of sensor, when described statistical average reaches sensor maximum range, then judge sensor fault; When described statistical average does not reach sensor maximum range, then calculating mean value difference maximal value, if maximal value is greater than permissible value, then judges sensor fault, if maximal value is not greater than permissible value, then returns step one and continues pick-up transducers measured value.
A kind of fault judgment method of the present invention, gathers measurement data, according to certain hour interval calculation measurement data mean value, the difference of the mean value within the time interval of more several measuring circuit, and calculate maximal value, if difference maximal value is higher than certain numerical value, then judge measuring circuit fault.
Above decision method can be applicable to the pressure transducer of warm isostatic pressing machine and oil press, the fault verification of temperature sensor, improves equipment reliability of operation.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiment, identical similar portion cross-reference between each embodiment.
Spoken of in this manual " embodiment ", " another embodiment ", " embodiment ", etc., refer to the specific features, structure or the feature that describe in conjunction with this embodiment and be included at least one embodiment of the application's generality description.Multiple place occurs that statement of the same race is not necessarily refer to same embodiment in the description.Furthermore, when describing specific features, structure or a feature in conjunction with any embodiment, what advocate is also fall within the scope of the invention to realize this feature, structure or feature in conjunction with other embodiments.
Although with reference to multiple explanatory embodiment of the present invention, invention has been described here, but, should be appreciated that, those skilled in the art can design a lot of other amendment and embodiment, these amendments and embodiment will drop within spirit disclosed in the present application and spirit.More particularly, in the scope of and claim open in the application, multiple modification and improvement can be carried out to the building block of subject combination layout and/or layout.Except the modification of carrying out building block and/or layout is with except improvement, to those skilled in the art, other purposes also will be obvious.
Claims (3)
1. a system for sensor fault judgement, is characterized in that it comprises:
Sensor, for measurement environment signal;
Measurement module, for the measured value according to certain sample frequency pick-up transducers;
Fault verification computing module, for according to described measured value, calculates the mean value of measured value in storehouse respectively, arranges mean value according to numerical values recited, and the maximum difference of calculating mean value; If maximum difference is higher than certain value, then judge sensor fault; If certain measured value of certain sensor exports as full value, also judge sensor fault.
2. the method for sensor fault judgement according to claim 1, it is characterized in that the design quantity of described measurement module is identical with number of sensors, capacity is time interval value, data type is the storehouse of floating type, according to FIFO principle, respectively sampled measurement is preserved.
3. a method for sensor fault judgement, is characterized in that it comprises:
The measured value of step one, pick-up transducers;
Step 2, to sampled data respectively stored in storehouse;
Step 3, the statistical average calculated in storehouse;
Step 4, judge whether described statistical average reaches the maximum range of sensor, when described statistical average reaches sensor maximum range, then judge sensor fault; When described statistical average does not reach sensor maximum range, then calculating mean value difference maximal value, if maximal value is greater than permissible value, then judges sensor fault, if maximal value is not greater than permissible value, then returns step one and continues pick-up transducers measured value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510058256.2A CN104596564B (en) | 2015-02-04 | 2015-02-04 | The system and method that sensor fault judges |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510058256.2A CN104596564B (en) | 2015-02-04 | 2015-02-04 | The system and method that sensor fault judges |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104596564A true CN104596564A (en) | 2015-05-06 |
| CN104596564B CN104596564B (en) | 2017-03-15 |
Family
ID=53122498
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510058256.2A Active CN104596564B (en) | 2015-02-04 | 2015-02-04 | The system and method that sensor fault judges |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104596564B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105425775A (en) * | 2015-12-04 | 2016-03-23 | 河南中烟工业有限责任公司许昌卷烟厂 | Sensor fault automatic judgment method and system |
| CN105574985A (en) * | 2015-12-17 | 2016-05-11 | 深圳怡化电脑股份有限公司 | Testing method and system of thickness sensor |
| CN106441404A (en) * | 2016-09-29 | 2017-02-22 | 武汉胜鹏智造科技有限公司 | Measurement management method of multi-mode intelligent instrument |
| CN106652407A (en) * | 2016-11-30 | 2017-05-10 | 深圳市跨业科技有限公司 | Wireless transmission based data acquisition system and acquisition method with ultra-low power consumption |
| WO2018126339A1 (en) * | 2017-01-03 | 2018-07-12 | Intel Corporation | Sensor management and reliability |
| CN110831050A (en) * | 2019-11-21 | 2020-02-21 | 李炳勇 | Sensor node control method and system |
| CN111837081A (en) * | 2018-03-14 | 2020-10-27 | It空间株式会社 | Accurate pre-maintenance method for driving part |
| CN113218198A (en) * | 2021-04-29 | 2021-08-06 | 苏州工业园区苏容电气有限公司 | Dynamic monitoring system and method for material level of top bin of submerged arc furnace |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0266406A (en) * | 1988-09-01 | 1990-03-06 | Tokyo Keiki Co Ltd | Measuring instrument with automatic calibration function |
| EP2383554A1 (en) * | 2010-04-28 | 2011-11-02 | Sony Corporation | Fluorescence intensity correcting method, fluorescence intensity calculating method, and fluorescence intensity calculating apparatus |
| CN103223901A (en) * | 2013-04-22 | 2013-07-31 | 长安大学 | Device and method for identifying abnormal running state of commercial vehicle |
| CN103942615A (en) * | 2014-04-15 | 2014-07-23 | 广东电网公司信息中心 | Noisy point removing method |
| CN103954304A (en) * | 2014-05-21 | 2014-07-30 | 北京航天自动控制研究所 | Zero offset short and long-term change value testing method applied to MEMS (Micro-electromechanical Systems) inertia unit |
| CN104265478A (en) * | 2014-05-28 | 2015-01-07 | 北京理工大学 | Method for determining if intake pressure sensor of diesel engine is abnormal and for fault diagnosis |
| CN104316729A (en) * | 2014-11-13 | 2015-01-28 | 成都运达科技股份有限公司 | Self-diagnosis method of acceleration sensors for locomotive bogie detection |
-
2015
- 2015-02-04 CN CN201510058256.2A patent/CN104596564B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0266406A (en) * | 1988-09-01 | 1990-03-06 | Tokyo Keiki Co Ltd | Measuring instrument with automatic calibration function |
| EP2383554A1 (en) * | 2010-04-28 | 2011-11-02 | Sony Corporation | Fluorescence intensity correcting method, fluorescence intensity calculating method, and fluorescence intensity calculating apparatus |
| CN103223901A (en) * | 2013-04-22 | 2013-07-31 | 长安大学 | Device and method for identifying abnormal running state of commercial vehicle |
| CN103942615A (en) * | 2014-04-15 | 2014-07-23 | 广东电网公司信息中心 | Noisy point removing method |
| CN103954304A (en) * | 2014-05-21 | 2014-07-30 | 北京航天自动控制研究所 | Zero offset short and long-term change value testing method applied to MEMS (Micro-electromechanical Systems) inertia unit |
| CN104265478A (en) * | 2014-05-28 | 2015-01-07 | 北京理工大学 | Method for determining if intake pressure sensor of diesel engine is abnormal and for fault diagnosis |
| CN104316729A (en) * | 2014-11-13 | 2015-01-28 | 成都运达科技股份有限公司 | Self-diagnosis method of acceleration sensors for locomotive bogie detection |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105425775A (en) * | 2015-12-04 | 2016-03-23 | 河南中烟工业有限责任公司许昌卷烟厂 | Sensor fault automatic judgment method and system |
| CN105425775B (en) * | 2015-12-04 | 2018-06-19 | 河南中烟工业有限责任公司许昌卷烟厂 | A kind of sensor fault automatic judging method and system |
| CN105574985B (en) * | 2015-12-17 | 2018-07-17 | 深圳怡化电脑股份有限公司 | A kind of test method and system of thickness transducer |
| CN105574985A (en) * | 2015-12-17 | 2016-05-11 | 深圳怡化电脑股份有限公司 | Testing method and system of thickness sensor |
| CN106441404A (en) * | 2016-09-29 | 2017-02-22 | 武汉胜鹏智造科技有限公司 | Measurement management method of multi-mode intelligent instrument |
| CN106441404B (en) * | 2016-09-29 | 2019-01-25 | 武汉胜鹏智造科技有限公司 | The measuring management method of multimode intelligence instrument |
| CN106652407A (en) * | 2016-11-30 | 2017-05-10 | 深圳市跨业科技有限公司 | Wireless transmission based data acquisition system and acquisition method with ultra-low power consumption |
| WO2018126339A1 (en) * | 2017-01-03 | 2018-07-12 | Intel Corporation | Sensor management and reliability |
| US11402235B2 (en) | 2017-01-03 | 2022-08-02 | Intel Corporation | Sensor management and reliability |
| US11662222B2 (en) | 2017-01-03 | 2023-05-30 | Intel Corporation | Sensor management and reliability |
| CN111837081A (en) * | 2018-03-14 | 2020-10-27 | It空间株式会社 | Accurate pre-maintenance method for driving part |
| CN110831050A (en) * | 2019-11-21 | 2020-02-21 | 李炳勇 | Sensor node control method and system |
| CN113218198A (en) * | 2021-04-29 | 2021-08-06 | 苏州工业园区苏容电气有限公司 | Dynamic monitoring system and method for material level of top bin of submerged arc furnace |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104596564B (en) | 2017-03-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104596564A (en) | System and method for judging fault of sensor | |
| CN105181200A (en) | Accurate algorithm for measuring cable force by using frequency method | |
| CN103616130B (en) | Pressure transducer proving installation | |
| CN105629052A (en) | Chip power consumption real-time detection method | |
| CN103017642A (en) | Displacement meter calibrating apparatus | |
| CN103712669A (en) | Flow gauge online calibration device | |
| CN203551197U (en) | Pressure sensor test device | |
| CN105571666A (en) | Flow compensation method, compensation device and flow sensor | |
| CN204136868U (en) | Grip gear detection device | |
| CN101907578A (en) | Realization method of microwave-method cotton moisture-regain on-line measuring system | |
| CN110131591B (en) | Method, device and equipment for positioning pipeline leakage | |
| US20150052969A1 (en) | Calibrating a Device | |
| CN204421857U (en) | Oil and gas pipes wall thickness on-line detecting system | |
| CN101738159B (en) | Device and method for measuring diameter of nozzle of aircraft engine tail | |
| CN203616048U (en) | Temperature measuring device of pressure sensor | |
| CN207180781U (en) | Live flow detector | |
| US10302515B2 (en) | Inferential sensing engine | |
| US20080245155A1 (en) | Method and apparatus to digitize pressure gauge information | |
| CN202511823U (en) | Temperature and pressure synchronous tester | |
| CN105865973A (en) | Fluid density measuring apparatus | |
| CN202562654U (en) | Temperature transmitter detector | |
| CN113701923A (en) | Method, device, terminal and medium for acquiring characteristic curve | |
| CN203643007U (en) | Online flowmeter calibration device | |
| CN204214582U (en) | Commercial car U-bolts Research on Testing System of Thrust on Aluminum and this commercial car | |
| KR102205153B1 (en) | Apparatus and method for monitoring mixing ratio of two-component type adhesive |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |