CN109934951B - Method for calibrating equipment uniqueness according to equipment electromagnetic signal analog quantity - Google Patents
Method for calibrating equipment uniqueness according to equipment electromagnetic signal analog quantity Download PDFInfo
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- CN109934951B CN109934951B CN201910163364.4A CN201910163364A CN109934951B CN 109934951 B CN109934951 B CN 109934951B CN 201910163364 A CN201910163364 A CN 201910163364A CN 109934951 B CN109934951 B CN 109934951B
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- 238000000034 method Methods 0.000 title claims abstract description 24
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- 238000012935 Averaging Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000000737 periodic effect Effects 0.000 claims description 4
- 238000005070 sampling Methods 0.000 claims description 3
- 230000003750 conditioning effect Effects 0.000 claims description 2
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Abstract
The invention relates to the technical field of equipment monitoring, and discloses a method for calibrating equipment uniqueness according to equipment electromagnetic signal analog quantity, which comprises the following steps of: s1, collecting various electromagnetic signal analog quantities of target equipment, converting the electromagnetic signal analog quantities into digital signals, and generating various sample time curves; s2, collecting various electromagnetic signal analog quantities of a plurality of similar devices, converting the electromagnetic signal analog quantities into digital signals, generating time curves and establishing a mimicry working data module of each electromagnetic signal analog quantity; and S3, simulating and generating a future simulation time curve of the target equipment according to the mimicry working data module, continuously recording the time curves of the similar equipment and the target equipment, and synchronously updating the simulation time curve. The invention determines the unique simulation time curve of each device by comparing the sample time curve with the simulation time curve and continuously correcting the simulation time curve, so that the device has a unique identifier, thereby facilitating a user to master the condition of the device.
Description
Technical Field
The invention relates to the technical field of equipment monitoring, in particular to a method for calibrating equipment uniqueness according to equipment electromagnetic signal analog quantity.
Background
As a world factory in China, the manufacturing industry occupies a great proportion in the industrial structure of China. With the continuous development of informatization and automation, various devices are added to the development of various industries so as to improve the productivity.
The uniqueness of a device refers to the uniqueness of an identifiable parameter of each device, each device has its unique aspects of electromagnetic signals and electrical parameters, from which a characteristic curve of the device, also referred to as a data fingerprint, can be generated to identify the device so that it has a unique identification. The uniqueness of the equipment enables the equipment to be convenient for positioning, monitoring, tracking and the like, and has great significance for the safety of the equipment. And a new guarantee means can be provided for the bank pledge business.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a method for calibrating the uniqueness of equipment according to the electromagnetic signal analog quantity of the equipment, which can calibrate the equipment according to the electromagnetic signal analog quantity of the equipment, so that the equipment has a unique identifier and the condition of the equipment is convenient to master.
The technical purpose of the invention is realized by the following technical scheme:
a method for calibrating the uniqueness of equipment according to the analog quantity of an electromagnetic signal of the equipment comprises the following steps:
step S1, collecting various electromagnetic signal analog quantities of the target equipment, converting the electromagnetic signal analog quantities into digital signals, and generating various sample time curves;
s2, collecting various electromagnetic signal analog quantities of m (m is a natural number larger than 10) pieces of similar equipment, converting the electromagnetic signal analog quantities into digital signals, generating time curves and establishing a mimicry working data module of each type of electromagnetic signal analog quantity;
and S3, simulating and generating a future simulation time curve of the target equipment according to the mimicry working data module, continuously recording the time curves of the similar equipment and the target equipment, and synchronously updating the mimicry working data module and the simulation time curve.
Through the steps, the collected electromagnetic signal analog quantity of the equipment is generated into the mimicry working data module, the mimicry working data module is used for generating the analog time curve of the equipment, and the sample time curve and the analog time curve are compared to continuously correct the analog time curve so as to determine the unique analog time curve of each equipment, so that the unique identification is provided for the equipment, and a user can conveniently master the condition of the equipment.
In step S2, after the time curve of each type of electromagnetic signal analog quantity is generated, the time curves including the lowest point and the highest point in the interval range are removed, and the remaining time curve is used as the basis of the mimicry working data module.
Through the technical scheme, the data with the largest deviation in the same group of parameters is deleted, so that the reasonability and the accuracy of the data are improved, and the reliability of the mimicry working data module is ensured.
The invention is further set as the step S4, the sample time curve and the simulation time curve are compared regularly, whether the simulation time curve is matched or not is judged, if not, the equipment condition needs to be checked manually and sampling is carried out again, and then the simulation working data module is regenerated; and if so, continuing to generate the simulation time curve.
Through the technical scheme, the simulation time curve is continuously updated in a periodic comparison mode, so that the adaptation degree of the simulation time curve is improved, and the reliability of the mimicry working data module is further improved.
The present invention is further configured that, in the step S4, the determination manner includes, but is not limited to, the following manners: calculating the mean value of the time curve of the sample in the interval
And a reference value C for simulating a time curve, and averaging the sample time curves of various electromagnetic signal analog quantities of the equipment
And presenting a reference value C of the analog time curve in a radar chart mode, setting a deviation coefficient p of the reference value C, generating a reference interval module according to the deviation coefficient p, and averaging the different electromagnetic signal analog quantities
The connection line forms a pattern
Connecting the reference interval modules with different electromagnetic signal analog quantities to form a graph
And
if, if
The sample time curve matches the simulated time curve, otherwise, the sample time curve does not match the simulated time curve.
The invention is further configured such that the mean value
The calculation method of (a) includes, but is not limited to, the following methods: is provided with
-
The sample time curve in the time interval is f (t), and the mean value of the sample time curve f (t)
=
(ii) a Is provided with
-
The simulated time curve in the time interval is f(s), then the reference value C =
。
The invention is further configured such that generation of the reference interval moduleMethods include, but are not limited to, the following: setting two endpoint values of the reference interval module as
And
then, then
=C*(1-p)，
=C*(1+p)。
The invention further provides that the calculation method of the deviation coefficient p comprises but is not limited to the following methods: calculating the mean value of each time curve of the same kind of equipment in the simulated working data module, and taking the mean value B of all the mean values and the highest value thereof
And minimum value
，p=0.5*(
)。
The present invention is further configured that in step S4, the periodic comparison needs to be treated differently according to the working condition and working nature of the equipment, and different kinds of equipment are compared for different time lengths, including but not limited to one second, one minute, one hour, one day, one week, and one working period.
In summary, the present invention collects the device electromagnetic signal analog quantity and generates the mimicry working data module, utilizes the mimicry working data module to generate the simulation time curve of the device, and then compares the sample time curve with the simulation time curve to continuously correct the simulation time curve, so as to determine the unique simulation time curve of each device, and make the device have a unique identifier, thereby facilitating the user to master the device condition.
Drawings
FIG. 1 is a step diagram of an embodiment;
FIG. 2 is a diagram illustrating the determination manner of step S4 in the embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, a method for calibrating uniqueness of a device according to analog quantity of electromagnetic signals of the device comprises the following steps:
and step S1, collecting various electromagnetic signal analog quantities of the target equipment, converting the various electromagnetic signal analog quantities into digital signals, and generating various sample time curves.
S2, collecting various electromagnetic signal analog quantities of m (m is a natural number larger than 10) pieces of similar equipment, converting the electromagnetic signal analog quantities into digital signals, generating time curves and establishing a mimicry working data module of each type of electromagnetic signal analog quantity; and after the time curve of each type of electromagnetic signal analog quantity is generated, removing the time curves containing the lowest point and the highest point in the interval range, and taking the residual time curves as the basis of the mimicry working data module.
S3, simulating and generating a future simulation time curve of the target equipment according to the mimicry working data module, continuously recording the time curves of the similar equipment and the target equipment, and synchronously updating the mimicry working data module and the simulation time curve;
step S4, comparing the sample time curve with the simulation time curve regularly, judging whether the simulation time curves are matched, if not, manually checking the equipment condition and sampling again, and then regenerating a simulation working data module; if so, continuing to generate a simulation time curve; the judgment method includes but is not limited to the following methods: calculating the mean value of the time curve of the sample in the interval
And a reference value C for simulating a time curve, and averaging the sample time curves of various electromagnetic signal analog quantities of the equipment
And presenting the reference value C of the analog time curve in a radar chart (refer to fig. 2), setting a deviation coefficient p of the reference value C, producing a reference interval module according to the deviation coefficient p, and averaging the different electromagnetic signal analog quantities
The connection line forms a pattern
Connecting the reference interval modules with different electromagnetic signal analog quantities to form a graph
And
if, if
The sample time curve matches the simulated time curve, otherwise, the sample time curve does not match the simulated time curve. In FIG. 2, a graph is plotted with 12 parameters as an example
And
however, the scope of the present invention is not limited thereto.
Wherein the above average value
The calculation method of (a) includes, but is not limited to, the following methods: is provided with
-
The sample time curve in the time interval is f (t), and the mean value of the sample time curve f (t)
=
(ii) a Is provided with
-
The simulated time curve in the time interval is f(s), then the reference value C =
。
The calculation method of the deviation coefficient p includes, but is not limited to, the following methods: calculating the mean value of each time curve of the same kind of equipment in the simulated working data module, and taking the mean value B of all the mean values and the highest value thereof
And minimum value
，p=0.5*(
)。
The above-mentioned reference interval module generation method includes, but is not limited to, the following methods: setting two endpoint values of the reference interval module as
And
then, then
=C*(1-p)，
=C*(1+p)。
In the step S4, the periodic comparison needs to be handled differently according to the working condition and working property of the equipment, and different types of equipment are compared with each other for different time lengths, including but not limited to one second, one minute, one hour, one day, one week, and one working period.
When the device is used, a user only needs to generate the mimicry working data module by the collected device electromagnetic signal analog quantity, then the mimicry working data module is used for generating the simulation time curve of the device, and the simulation time curve is continuously corrected by comparing the sample time curve with the simulation time curve, so that the unique simulation time curve of each device is determined and has the unique identifier, and the user can conveniently master the condition of the device.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (6)
1. A method for calibrating the uniqueness of equipment according to the analog quantity of an electromagnetic signal of the equipment is characterized by comprising the following steps:
step S1, collecting various electromagnetic signal analog quantities of the target equipment, converting the electromagnetic signal analog quantities into digital signals, and generating various sample time curves;
s2, collecting various electromagnetic signal analog quantities of multiple similar devices, wherein the number of the collected electromagnetic signal analog quantities is not less than 10, converting the electromagnetic signal analog quantities into digital signals, generating time curves and establishing a simulation working data module of each electromagnetic signal analog quantity;
s3, simulating and generating a future simulation time curve of the target equipment according to the mimicry working data module, continuously recording the time curves of the similar equipment and the target equipment, and synchronously updating the mimicry working data module and the simulation time curve;
step S4, comparing the sample time curve with the simulation time curve periodically, judging whether the simulation time curve is matched, if not, manually checking the equipment condition and sampling again, and then regenerating a simulation working data module; if so, continuing to generate a simulation time curve;
in step S4, the determination method includes the following steps: calculating the mean of the sample time curves within the interval
And a reference value C for simulating a time curve, and averaging the sample time curves of various electromagnetic signal analog quantities of the equipment
And presenting a reference value C of the analog time curve in a radar chart mode, setting a deviation coefficient p of the reference value C, generating a reference interval module according to the deviation coefficient p, and averaging the different electromagnetic signal analog quantities
The connection line forms a pattern
Connecting the reference interval modules with different electromagnetic signal analog quantities to form a graph
And
if, if
The sample time curve matches the simulated time curve, otherwise, the sample time curve does not match the simulated time curve.
2. The method of claim 1, wherein in step S2, after the time curve of each type of the analog quantity of the electromagnetic signal is generated, the time curves including the lowest point and the highest point in the interval range are removed, and the remaining time curves are used as the basis of the simulated operation data module.
3. The method of claim 1, wherein the mean value is a mean value of the device uniqueness of the calibration of the device based on the analog quantity of the electromagnetic signal of the device
The calculation method comprises the following steps: is provided with
-
The sample time curve in the time interval is f (t), and the mean value of the sample time curve f (t)
=
(ii) a Is provided with
-
The simulated time curve in the time interval is f(s), then the reference value C =
。
4. A method for calibrating uniqueness of equipment according to analog quantity of electromagnetic signals of the equipment as claimed in claim 3, wherein the method comprisesThe method for generating the reference interval module includes the following steps: setting two endpoint values of the reference interval module as
And
then, then
=C*(1-p)，
=C*(1+p)。
5. The method for calibrating the uniqueness of the equipment according to the electromagnetic signal analog quantity of the equipment as claimed in claim 1 or 3, wherein the calculation method of the deviation coefficient p comprises the following steps: calculating the mean value of each time curve of the same kind of equipment in the simulated working data module, and taking the mean value B of all the mean values and the highest value thereof
And minimum value
，p=0.5*(
)。
6. The method for calibrating uniqueness of equipment according to electromagnetic signal analog quantity of equipment as claimed in claim 1, wherein in the step S4, the periodic comparison needs to be treated differently according to the working condition and working property of the equipment, and different kinds of equipment are compared for different time lengths, including a period of one second, one minute, one hour, one day, one week and one working.
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| CN103514380A (en) * | 2013-10-23 | 2014-01-15 | 合肥工业大学 | Modeling method for analytical model of equivalent and linear damping coefficient of magnetorheological damper |
| CN104794492A (en) * | 2015-04-27 | 2015-07-22 | 重庆大学 | Online machine tool equipment machining and running state recognizing method based on power feature models |
| CN107480730A (en) * | 2017-09-05 | 2017-12-15 | 广州供电局有限公司 | Power equipment identification model construction method and system, the recognition methods of power equipment |
| CN107944513A (en) * | 2017-11-21 | 2018-04-20 | 中国运载火箭技术研究院 | A kind of testing ground wireless device identification system and method |
-
2019
- 2019-03-05 CN CN201910163364.4A patent/CN109934951B/en active Active
Patent Citations (6)
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| JP2005529328A (en) * | 2002-06-05 | 2005-09-29 | ファーマシア アンド アップジョン カンパニー | Method for identifying ligands using competitive binding 1H NMR experiments |
| CN102564474A (en) * | 2010-12-08 | 2012-07-11 | 富士通半导体股份有限公司 | Sampling Circuity |
| CN103514380A (en) * | 2013-10-23 | 2014-01-15 | 合肥工业大学 | Modeling method for analytical model of equivalent and linear damping coefficient of magnetorheological damper |
| CN104794492A (en) * | 2015-04-27 | 2015-07-22 | 重庆大学 | Online machine tool equipment machining and running state recognizing method based on power feature models |
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Denomination of invention: A method for calibrating the uniqueness of equipment according to the analog quantity of equipment electromagnetic signal Effective date of registration: 20220811 Granted publication date: 20210625 Pledgee: China Zheshang Bank Co., Ltd. Changzhou Branch Pledgor: CHANGZHOU TIANZHENG INDUSTRIAL DEVELOPMENT CO.,LTD. Registration number: Y2022980012395 |
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Date of cancellation: 20231205 Granted publication date: 20210625 Pledgee: China Zheshang Bank Co.,Ltd. Changzhou Branch Pledgor: CHANGZHOU TIANZHENG INDUSTRIAL DEVELOPMENT CO.,LTD. Registration number: Y2022980012395 |
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Denomination of invention: A method for calibrating device uniqueness based on analog electromagnetic signals of the device Effective date of registration: 20231207 Granted publication date: 20210625 Pledgee: China Zheshang Bank Co.,Ltd. Changzhou Branch Pledgor: CHANGZHOU TIANZHENG INDUSTRIAL DEVELOPMENT CO.,LTD. Registration number: Y2023980069985 |
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