CN110657832A - Automatic identification method for effective working interval of sensor - Google Patents
Automatic identification method for effective working interval of sensor Download PDFInfo
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- CN110657832A CN110657832A CN201910894991.5A CN201910894991A CN110657832A CN 110657832 A CN110657832 A CN 110657832A CN 201910894991 A CN201910894991 A CN 201910894991A CN 110657832 A CN110657832 A CN 110657832A
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Abstract
The invention belongs to the technical field of sensor control systems, and particularly relates to an automatic identification method of an effective working interval of a sensor, wherein a controller controls a movable mechanism to move to an upper limit and a lower limit, collects parameters fed back by a plurality of groups of sensors, and calculates an average value AO of the lower limit point and an average value BO of the upper limit point through a calculation formula, namely the effective moving interval of the sensor, so that the controller can quickly set the parameters of the effective working interval of the sensor and the effective moving interval of the mechanism to be completely matched; in addition, a lower limit site difference Da and an upper limit site difference Db are obtained through a calculation formula, and when the limit site difference Da or the upper limit site difference Db is too large, the controller can be judged to judge that the sensor is abnormally mounted; and a soft lower limit point Pa and a soft upper limit point Pb are obtained through a calculation formula and used as a controller for limiting a reasonable movement interval of the movable mechanism, so that the sensor control system is prevented from being out of order due to the fact that the physical machinery of the movable mechanism is exceeded.
Description
Technical Field
The invention belongs to the technical field of sensor control systems, and particularly relates to an automatic identification method for an effective working interval of a sensor.
Background
The sensor is a detection device which can sense the measured information and convert the sensed information into an electric signal or other information in a required form according to a certain rule to output so as to meet the requirements of information transmission, processing, storage, display, recording, control and the like, and the sensor is widely applied to various fields of social development and human life.
Generally, a control system of a sensor is shown in fig. 1, and includes a movable mechanism, a sensor and a controller, wherein the sensor is a device for digitizing a physical position signal of the movable mechanism, the controller identifies the position of the movable mechanism through the sensor to control the device of the movable mechanism, the movable mechanism is a control object, and a physical limit (a mechanical hard limit, a range limit, etc.) exists in an activity section of the movable mechanism. In fig. 1, the control process of the controller on the movable mechanism is an implementation process, which shows the operation process of the controller on the movable mechanism (physical processes of driving the motor to rotate, pressurize, move, etc.); the conversion and monitoring process of the sensor to the movable mechanism is also an implementation process, which means that the sensor converts the physical change process of the movable mechanism; the sensor converts the physical process of the actual moving mechanism into an identifiable electrical signal, wherein the identification represents the identification process of the sensor on the actual physical change of the moving mechanism; the displacement represents the actual physical change of the movable mechanism (in addition to the actual displacement, other physical processes such as liquid level change, air pressure change, etc. may also be represented).
However, the sensor still has a place which needs to be improved in the practical application process, for example, when the sensor is used for maintenance for a long time, it is often found that the activity section of the movable mechanism and the activity section of the sensor cannot be perfectly corresponding, for example, as shown in a schematic diagram of matching the activity sections of the movable mechanism and the sensor shown in fig. 2, and as shown in a schematic diagram of explaining the relationship between the activity section of the movable mechanism and the activity section of the sensor shown in fig. 3, a maintenance worker is required to manually go through the corresponding relationship, adjust the installation position of the sensor, or adjust the control parameter, so that the activity section of the movable mechanism recognized by the controller corresponds.
In fig. 2, the movable mechanism refers to physical changes (displacement, liquid level change, air pressure change, etc.) of the actual device, which are exemplified by the displacement change; the upper limit refers to the physical limit (position hard upper limit, liquid level maximum limit, air pressure maximum limit, etc.) of the interaction mechanism; the lower limit refers to the physical limit (position hard lower limit, liquid level minimum limit, air pressure minimum limit, etc.) of the movable mechanism; valid activity interval: the effective working interval (displacement interval, liquid level interval, air pressure interval, etc.) of the movable mechanism is indicated; the sensor activity interval refers to the effective range of the sensor; the method is illustrated here as an example of a mounting of the position sensor, but the actual mounting position of the sensor is not limited to this.
In fig. 3, the mechanism activity valid interval indicates an interval in which the movable mechanism can be activated, and is indicated by a white square in the figure; the effective sensor interval represents an interval which can be effectively identified by the sensor and is represented by a black square on the way; the invalid matching I indicates that the activity interval of the actual mechanism is larger than the identification interval of the sensor, so that the sensor cannot correctly feed back the actual physical limit to the controller; the invalid matching II indicates that part of the active region of the actual mechanism cannot be identified by the sensor, so that the sensor cannot correctly feed back the actual physical limit to the controller; a perfect match indicates that the sensor can effectively identify the activity interval of the actual activity mechanism.
When the activity interval of the activity mechanism and the activity interval of the sensor cannot be perfectly corresponding, the following method is generally adopted, and the following steps are sequentially carried out:
1. manually moving the movable mechanism to an upper limit or a lower limit;
2. recording current sensor data;
3. setting corresponding data (upper and lower limit protection points, working points and the like) on a controller;
however, the conventional method for manually recording sensor data has complicated steps and low efficiency, especially when the controller is far away from the sensor installation position, two persons are required to assist in completing the recording work of the effective activity interval of the sensor (one person controls the activity mechanism and one person records signal change), and if a plurality of sensor devices need to be debugged in one area, the steps 1 and 2 need to be performed on each sensor device, so that the processing process is troublesome and labor is consumed. In particular, this method cannot well identify problems of sensor mounting abnormality (such as looseness, etc.), which may cause unknown problems in setting corresponding data by the controller.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the automatic identification method of the effective working interval of the sensor, which can independently debug the parameter value of the effective moving interval of the sensor in the controller by a single person so as to be matched with the effective moving interval of the mechanism and can effectively judge whether the sensor is abnormally installed.
In order to achieve the above object, the present invention provides an automatic identification method for effective working interval of a sensor, wherein the sensor collects displacement variables of a movable mechanism, converts the collected displacement variables into electric signals and transmits the electric signals to a controller, the controller controls the movable mechanism to complete a physical process, the automatic identification method is built in the controller and comprises a measuring process and a calculating and judging process,
the measurement process comprises the following steps:
s01, the controller automatically controls the movable mechanism to move to the lower limit, and records the lower limit A1;
s02, the controller automatically controls the movable mechanism to move to the upper limit, and records the upper limit position B1;
s03, repeating the step S01, and recording lower limit sites A2 and A3 … … An;
s04, repeating the step S02, and recording upper limit sites B2 and B3 … … Bn;
the calculation judgment process comprises the following steps:
s11, calculating the average AO of the lower limit points by the lower limit points A1, A2 and A3 … … An according to the formula
S12, calculating the average value BO of the upper limit sites according to the lower limit sites B1, B2 and B3 … … Bn, and the calculation formula is
S13, calculating a lower limit point difference Da through the lower limit points A1, A2 and A3 … … An, wherein the calculation formula is Da ═ Max (ai) -Min (ai), 1< i < n and i is An integer;
s14, calculating an upper limit position difference Db through the upper limit positions B1, B2 and B3 … … Bn, wherein the calculation formula is Db ═ Max (Bi) -Min (Bi), 1< i < n and i is an integer;
s15, calculating a soft lower limit point Pa according to the lower limit point average value AO obtained in the step S11, wherein the calculation formula is Pa ═ AO + Pdelta, and Pdelta is a standard deviation;
s16, calculating a soft upper limit point Pb according to the upper limit point average value BO obtained in the step S12, wherein the calculation formula is Pa ═ BO + Pdelta, and Pdelta is a standard deviation;
the range between the average value AO of the lower limit position and the average value BO of the upper limit position is an effective working range of the sensor, and the difference value Da of the lower limit position and the difference value Db of the upper limit position are used for comparing with an alarm value set by the controller to judge whether the sensor is abnormal or not; the range between the soft lower limit point Pa and the soft upper limit point Pb is a reasonable activity range of the controller limited movable mechanism, and the physical limit of the movable mechanism is prevented from being exceeded.
The invention is further improved as an automatic identification method of the effective working interval of the sensor: the target operating point is obtained in steps S11 and S12, and the calculation formula is PO ═ AO + (BO-AO) × K, where K is a percentage, and is set by the controller.
Advantageous effects
The invention relates to an automatic identification method of an effective working interval of a sensor, which is characterized in that a controller controls a movable mechanism to move to an upper limit and a lower limit, collects parameters fed back by a plurality of groups of sensors, and calculates an average value AO of the lower limit locus and an average value BO of the upper limit locus through a calculation formula, namely the effective working interval of the sensor, so that the controller can quickly set the parameters of the effective working interval of the sensor and the effective working interval of the mechanism are completely matched; in addition, a lower limit site difference Da and an upper limit site difference Db are obtained through a calculation formula, and when the limit site difference Da or the upper limit site difference Db is too large, the controller can be judged to judge that the sensor is abnormally mounted; and a soft lower limit point Pa and a soft upper limit point Pb are obtained through a calculation formula and used as a controller for limiting a reasonable movement interval of the movable mechanism, so that the sensor control system is prevented from being out of order due to the fact that the physical machinery of the movable mechanism is exceeded.
Drawings
FIG. 1 is a schematic diagram of a sensor control system according to the present invention;
FIG. 2 is a schematic diagram of the sensor of the present invention in a configuration matching the range of motion of the movable mechanism;
FIG. 3 is a schematic diagram of the correspondence between the effective sensor interval and the effective mechanism activity interval according to the present invention;
FIG. 4 is a flow chart of the two acquisition process of the present invention;
FIG. 5 is a schematic diagram of the main working data points of the present invention;
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
The method for automatically identifying the effective working interval of the sensor can be arranged in a controller, and the process comprises a measuring process and a calculating and judging process.
The measuring process mainly obtains the upper and lower limit data of the sensor control system by controlling the movement or change of the movable mechanism, and concretely comprises the following steps,
a. starting the system;
b. the controller automatically controls the movable mechanism to move to the lower limit;
c. recording a lower limit point A1, namely when the movable mechanism moves to the lower limit position, feeding back parameters of the controller by the sensor;
d. the controller automatically controls the movable mechanism to move to the upper limit position;
e. recording an upper point B1, namely when the movable mechanism moves to an upper limit position, feeding back parameters of the controller by the sensor;
f. the controller automatically controls the movable mechanism to move to the lower limit;
g. recording a lower limit point A2, namely when the movable mechanism moves to the lower limit position, feeding back parameters of the controller by the sensor;
h. the controller automatically controls the movable mechanism to move to the upper limit position;
i. recording an upper point B2, namely when the movable mechanism moves to an upper limit position, feeding back parameters of the controller by the sensor;
in the actual use process, the data are not limited to two-time acquisition, or can be acquired for multiple times, then the steps from B to e are repeated, a plurality of lower limit data A and upper limit data B are recorded, and then the data are submitted to the subsequent calculation judgment process for processing; similarly, one acquisition may be performed, but this set of data can only acquire the lower limit data a and the upper limit data B of the sensor, and the effective activity range of the sensor (the range between the lower limit data a and the upper limit data B); and cannot be used in the subsequent calculation judgment process.
When the sensor control system cannot automatically control the movable mechanism through control, manual operation (moving the movable mechanism to the upper limit or the lower limit) is necessary at the moment.
The calculation and judgment process is based on data of the preorder measurement process, the controller is used for automatically calculating parameter values of an upper limit and a lower limit, namely an effective working interval of the sensor, and meanwhile, whether the sensor has a fault with abnormal installation or not can be judged by calculating data change conditions recorded twice (or for multiple times), specifically:
A. the average AO of the lower limit points is obtained from the lower limit points A1, A2 and A3 … … An, and the calculation formula is
B. The average value BO of the upper limit sites is obtained from the lower limit sites B1, B2 and B3 … … Bn, and the calculation formula is
C. Calculating a lower limit position difference Da through the lower limit positions A1, A2 and A3 … … An, wherein the calculation formula is Da ═ Max (ai) -Min (ai), 1< i < n and i is An integer;
D. obtaining an upper limit position difference Db through upper limit positions B1, B2 and B3 … … Bn, wherein the calculation formula is Db ═ Max (Bi) -Min (Bi), 1< i < n and i is an integer;
E. calculating a soft lower limit position Pa according to the calculated lower limit position average value AO, wherein the calculation formula is Pa ═ AO + Pdelta, and Pdelta is a standard deviation, namely an offset;
F. the soft upper limit point Pb is calculated from the calculated upper limit point average value BO, and the calculation formula is Pa ═ BO + Pdelta, where Pdelta is a standard deviation, that is, an offset amount.
The range between the average value AO of the lower limit point and the average value BO of the upper limit point is an effective working range of the sensor, and the effective working range of the sensor can be used for quickly modifying internal parameters of the controller, so that the effective working range of the sensor is completely matched with the effective range of the mechanism;
when the lower limit site difference Da or the upper limit site difference Db is too large, the sensor can be judged to be abnormal, such as loosening, dislocation and the like; and setting a warning value of the lower limit position difference Da and the upper limit position difference Db, namely a return difference judgment value De, by the controller, and judging that the sensor is abnormally mounted by the controller when the limit position difference Da or the upper limit position difference Db is greater than the return difference judgment value De, wherein the optimal effective activity interval of the sensor is 0-10, and the offset Pdelta is 0.2.
Furthermore, on the basis of the average value AO of the lower limit point and the average value BO of the upper limit point, the offset is added to serve as a soft lower limit point Pa and a soft upper limit point Pb which serve as controllers for limiting the reasonable moving range of the moving mechanism, and the sensor control system is prevented from being out of order due to the fact that the physical machinery of the moving mechanism is exceeded.
Further, the target operating point may be determined by calculating the formula PO ═ AO + (BO-AO) × K, where K is a percentage and is set by the controller, preferably K ═ 50%.
The computational decision process can be better illustrated by the following table:
although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (2)
1. The utility model provides an automatic identification method of sensor effective work interval, wherein the displacement variable of sensor collection moving mechanism to turn into the displacement variable of gathering and give the controller with the signal of telecommunication transmission, control the moving mechanism by the controller and accomplish physical process, its characterized in that: the automatic identification method is arranged in a controller and comprises a measuring process and a calculating and judging process,
the measurement process comprises the following steps:
s01, the controller automatically controls the movable mechanism to move to the lower limit, and records the lower limit A1;
s02, the controller automatically controls the movable mechanism to move to the upper limit, and records the upper limit position B1;
s03, repeating the step S01, and recording lower limit sites A2 and A3 … … An;
s04, repeating the step S02, and recording upper limit sites B2 and B3 … … Bn;
the calculation judgment process comprises the following steps:
s11, calculating the average AO of the lower limit points by the lower limit points A1, A2 and A3 … … An according to the formula
S12, calculating the average value BO of the upper limit sites according to the lower limit sites B1, B2 and B3 … … Bn, and the calculation formula is
S13, calculating a lower limit point difference Da through the lower limit points A1, A2 and A3 … … An, wherein the calculation formula is Da ═ Max (ai) -Min (ai), 1< i < n and i is An integer;
s14, calculating an upper limit position difference Db through the upper limit positions B1, B2 and B3 … … Bn, wherein the calculation formula is Db ═ Max (Bi) -Min (Bi), 1< i < n and i is an integer;
s15, calculating a soft lower limit point Pa according to the lower limit point average value AO obtained in the step S11, wherein the calculation formula is Pa ═ AO + Pdelta, and Pdelta is a standard deviation;
s16, calculating a soft upper limit point Pb according to the upper limit point average value BO obtained in the step S12, wherein the calculation formula is Pa ═ BO + Pdelta, and Pdelta is a standard deviation;
the range between the average value AO of the lower limit position and the average value BO of the upper limit position is an effective working range of the sensor, and the difference value Da of the lower limit position and the difference value Db of the upper limit position are used for comparing with an alarm value set by the controller to judge whether the sensor is abnormal or not; the range between the soft lower limit point Pa and the soft upper limit point Pb is a reasonable activity range of the controller limited movable mechanism, and the physical limit of the movable mechanism is prevented from being exceeded.
2. The method of claim 1, wherein the method further comprises: the target operating point is obtained in steps S11 and S12, and the calculation formula is PO ═ AO + (AO-BO) × K where K is a percentage, and is set by the controller.
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| CN1696602A (en) * | 2004-05-14 | 2005-11-16 | 株式会社小松制作所 | Displacement measurement device |
| CN101135580A (en) * | 2006-08-29 | 2008-03-05 | Abb专利有限公司 | Method for determining a characteristic of a sensor arrangement |
| CN102384762A (en) * | 2010-09-06 | 2012-03-21 | 罗伯特·博世有限公司 | Method and device for correcting the actual limit value of a sensor |
| CN104296795A (en) * | 2014-10-31 | 2015-01-21 | 湖南农业大学 | Automatic sensor detection control device and method |
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- 2019-09-20 CN CN201910894991.5A patent/CN110657832A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1301646A (en) * | 1999-12-24 | 2001-07-04 | 现代自动车株式会社 | Controlling method for diesel engine |
| CN1696602A (en) * | 2004-05-14 | 2005-11-16 | 株式会社小松制作所 | Displacement measurement device |
| CN101135580A (en) * | 2006-08-29 | 2008-03-05 | Abb专利有限公司 | Method for determining a characteristic of a sensor arrangement |
| CN102384762A (en) * | 2010-09-06 | 2012-03-21 | 罗伯特·博世有限公司 | Method and device for correcting the actual limit value of a sensor |
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