CN111397705A - Creep compensation method and device for anti-shake of weighing sensor and storage medium - Google Patents

Creep compensation method and device for anti-shake of weighing sensor and storage medium Download PDF

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CN111397705A
CN111397705A CN202010265900.4A CN202010265900A CN111397705A CN 111397705 A CN111397705 A CN 111397705A CN 202010265900 A CN202010265900 A CN 202010265900A CN 111397705 A CN111397705 A CN 111397705A
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sensor
creep
value
state
judging
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CN111397705B (en
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曾照翔
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Shenzhen Kuntong Intelligent Storage Technology Co ltd
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Shenzhen Kuntong Intelligent Storage Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G3/00Weighing apparatus characterised by the use of elastically-deformable members, e.g. spring balances
    • G01G3/12Weighing apparatus characterised by the use of elastically-deformable members, e.g. spring balances wherein the weighing element is in the form of a solid body stressed by pressure or tension during weighing
    • G01G3/14Weighing apparatus characterised by the use of elastically-deformable members, e.g. spring balances wherein the weighing element is in the form of a solid body stressed by pressure or tension during weighing measuring variations of electrical resistance
    • G01G3/1414Arrangements for correcting or for compensating for unwanted effects

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  • Measurement Of Force In General (AREA)

Abstract

The invention discloses a creep compensation method, a creep compensation device and a storage medium for anti-shake of a weighing sensor, wherein the method comprises the following steps: according to a preset frequency, acquiring a sensor sampling value fCn(ii) a Based on the value f of the first sensor sampleC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state, wherein the creep state comprises a positive creep state and a negative creep state; if yes, acquiring a second sensor sampling value fC2Based on the second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again; if so, judging that the creep process of the sensor is stable, and recording a second sensor sampling value fC2. Compared with the prior art, the condition that the creep process is stable is judged by 'the continuous twice sampling results are both positive creep or negative creep', so that multiple creep judgment caused by shaking can be eliminated, and the working precision of the weighing sensor is improved.

Description

Creep compensation method and device for anti-shake of weighing sensor and storage medium
Technical Field
The invention relates to the field of weighing sensors, in particular to a creep compensation method, a creep compensation device and a storage medium for anti-shake of a weighing sensor.
Background
Creep, a primary indicator of performance of a test sensor, refers to the phenomenon of increasing strain over time due to a solid material under constant stress. The common electronic weighing instrument in the existing market, such as weighing scale, the weighing sensor that inside adopted comprises metal material elastomer and foil gage, and metal material can demonstrate the creep characteristic under the unchangeable condition of holding stress, and the dependent variable increases with time extension promptly.
In order to overcome the metering error caused by the creep of the weighing sensor, the following schemes are adopted: 1. the compensation principle of the traditional compensation method is realized by selecting different reverse creep compensation strain gauges, changing the positions of patches and a viscose glue curing process, and the traditional compensation method has the defects of large error, large influence in a shaking process, multiple adjustment, high difficulty and incapability of adapting to temperature change; 2. the compensation principle of the exponential fitting method is to determine the creep process, and the creep process has the property of an exponential function, and a fitting curve is obtained through a large amount of data, so that the method has the defects of large influence of a jitter process, large data requirement, high difficulty and incapability of adapting to temperature change; 3. the fuzzy compensation method is characterized in that the working stages of the sensor are judged through fuzzy recognition, each stage inherits the loading value and the creep value of the previous stage, and then combines the current weighing value and the current creep value to obtain the loading value in the current state, the influence of the shaking process is large, the fuzzy judgment value is difficult, and the dynamic adjustment is realized; 4. the compensation principle of the neural network compensation method is that a compensated radial basis neural network model is established, learning is carried out through a large number of samples, the weighted value of each neuron function is obtained through solving a linear equation set, the optimal value of the radial basis function is obtained through analog simulation, the prediction error is small, the output value and the true value can be well approximated, and the defects of large influence, high difficulty and complex algorithm of a jitter process exist.
In summary, when a heavy object is placed on the sensor, the rigid body of the sensor vibrates up and down due to impact force, or the rigid body of the sensor vibrates due to other conditions, and positive and negative creep deformation occurs alternately due to the up and down vibration, so that the working accuracy of the weighing sensor is reduced. The existing creep compensation technology can not eliminate the influence of shaking on a compensation value when a heavy object is placed.
Disclosure of Invention
The invention mainly aims to provide a creep compensation method for a weighing sensor for anti-shake, and aims to solve the technical problem that the existing creep compensation technology cannot eliminate the influence of shake on a compensation value when a heavy object is placed.
The invention provides a creep compensation method for a weighing sensor for anti-shake, which comprises the following steps:
according to a preset frequency, acquiring a sensor sampling value fCn
Based on the value f of the first sensor sampleC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state, wherein the creep state comprises a positive creep state and a negative creep state;
if yes, acquiring a second sensor sampling value fC2Based on the second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again;
if so, judging that the creep process of the sensor is stable, and recording a second sensor sampling value fC2
Preferably, the first sensor sample value f is used as a function ofC1And the previous sensor sample value fC0And judging whether the state of the sensor is a creep state or not, wherein the step comprises the following steps:
judging whether the output increment | Δ m | is smaller than a threshold value, wherein, Δ m ═ fCn-fCn-1
If yes, judging whether the delta m is larger than 0;
if so, the sensor is determined to be in a positive creep state.
Preferably, the step of determining whether Δ m is greater than 0 includes:
if not, the sensor is judged to be in a negative creep state.
Preferably, the step of determining whether the output increment | Δ m | is smaller than the threshold value comprises:
if not, judging whether the delta m is larger than 0;
if yes, the sensor is judged to be in a loading state.
Preferably, if not, after the step of determining whether Δ m is greater than 0, the method includes:
if not, the sensor is judged to be in the load shedding state.
Preferably, if so, determining that the creep process of the sensor is stable, and recording a second sensor sampling value fC2After the step (2), comprising:
when the sensor is in the load-on/load-off state, its load value WCAnd creep valueCComprises the following steps:
Wc=fCn-0
C0
wherein f isCnIs the current sample value of the sensor and,0is the previous creep value at the current time.
Preferably, if so, determining that the creep process of the sensor is stable, and recording a second sensor sampling value fC2The method comprises the following steps:
when the sensor is in creep state, its load value WCAnd creep valueCComprises the following steps:
Wc=W0
C=fCn-W0
wherein f isCnFor the current sample value of the sensor, W0Is the previous actual load value at the current moment.
Preferably, the step of determining whether the output increment | Δ m | is smaller than a threshold value includes:
acquiring precision grade information, range information, maximum comprehensive error information and AD digit information of a sensor;
and determining a specific numerical value of the threshold according to the precision grade information, the range information, the maximum comprehensive error information and the AD digit information.
The invention also provides a creep compensation device for the anti-shake of the weighing sensor, which comprises:
a sampling module for acquiring a sensor sampling value f according to a preset frequencyCn
A first judging module for judging the sampling value f of the first sensorC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state, wherein the creep state comprises a positive creep state and a negative creep state;
a second judging module for acquiring a second sensor sampling value f if soC2Based on the second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again;
a recording module used for judging the creep process of the sensor to be stable if the second sensor sampling value f is judged to be stable, and recording the second sensor sampling value fC2
The present invention also provides a storage medium, which is a computer-readable storage medium, on which a computer program is stored, which, when executed, implements the creep compensation method for anti-shake of the load cell described above.
The invention has the beneficial effects that: by the condition that the creep process is judged to be stable if the two continuous sampling results are positive creep or negative creep, multiple creep judgment caused by shaking can be eliminated, and the working accuracy of the weighing sensor is improved.
Drawings
FIG. 1 is a schematic flow chart of a creep compensation method for preventing shake of a load cell according to a first embodiment of the present invention;
FIG. 2 is a graph of creep characteristics over multiple load add/drop loads;
FIG. 3 is a schematic structural diagram of a creep compensation device for preventing vibration of a load cell according to a first embodiment of the present invention;
fig. 4 is a block diagram of an embodiment of a storage medium provided in the present application.
Description of reference numerals:
1. a sampling module; 2. a first judgment module; 3. a second judgment module; 4. a recording module; 100. a storage medium; 200. a computer program.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, the invention provides a creep compensation method for a weighing sensor for anti-shake, which comprises the following steps:
s1: according to a preset frequency, acquiring a sensor sampling value fCn
S2: based on the value f of the first sensor sampleC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state, wherein the creep state comprises a positive creep state and a negative creep state;
s3: if yes, acquiring a second sensor sampling value fC2Based on the second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again;
s4: if so, judging that the creep process of the sensor is stable, and recording a second sensor sampling value fC2
In the embodiment of the invention, the weighing equipment acquires the sampling value f of the sensor according to the preset frequencyCn,Wherein the sensor is a single sensor; based on the value f of the first sensor sampleC1And the previous sensor sample value fC0And judging whether the state of the sensor is a creep state or not. And if the sensor is in the creep state, judging whether the sensor is in the same creep state again. The specific situation is that the results of the first judgment and the second judgment are both in a positive creep state, or the results of the first judgment and the second judgment are both in a negative creep state. If the positive creep state or the negative creep state is judged for two times, the creep process of the sensor is judged to be stable, and a second sensor sampling value f is recordedC2. Therefore, when the sensor enters a creep stage from the loading/unloading stage, the sampling is continued, and if the two continuous sampling results are positive creep or negative creep (the creep value is a positive value or a negative value), the creep process is judged to be stable. Judging the creep process by judging whether the two continuous sampling results are positive creep or negative creepThe condition of stabilization can remove multiple creep judgment caused by shaking, and improve the working accuracy of the weighing sensor. In addition, only when the weighing sensor enters a creep stage, the weighing and sampling can be regarded as being finished, and the result can be issued to the outside.
Further, based on the first sensor sample value fC1And the previous sensor sample value fC0Step S2 of determining whether the state of the sensor is a creep state includes:
s21: judging whether the output increment | Δ m | is smaller than a threshold value, wherein, Δ m ═ fCn-fCn-1
S22: if yes, judging whether the delta m is larger than 0;
s23: if so, the sensor is determined to be in a positive creep state.
In an embodiment of the present invention, when output increment | Δ m | less than the threshold value and Δ m greater than 0 are simultaneously satisfied, it is determined that the sensor is in a positive creep state.
Further, after the step S23 of determining whether Δ m is greater than 0, the method includes:
s24: if not, the sensor is judged to be in a negative creep state.
In an embodiment of the present invention, when output increment | Δ m | is less than the threshold value and Δ m is less than 0, the sensor is determined to be in the negative creep state.
Further, after the step S21 of determining whether the output increment | Δ m | is smaller than the threshold value, the method includes:
S21A: if not, judging whether the delta m is larger than 0;
S21B: if yes, the sensor is judged to be in a loading state.
In the embodiment of the invention, when the output increment | Δ m | greater than the threshold value and Δ m greater than 0 are simultaneously satisfied, the sensor is determined to be in the loading state, and once the sensor enters the loading state, the creep value of the sensor must be updated.
Further, if not, after step S21A of determining whether Δ m is greater than 0, the method includes:
S21C: if not, the sensor is judged to be in the load shedding state.
In the embodiment of the invention, when the output increment | Δ m | is larger than the threshold value and Δ m is smaller than 0, the sensor is determined to be in the load shedding state.
Referring to FIG. 2, if yes, it is determined that the sensor creep process is stable, and a second sensor sample value f is recordedC2After step S4, the method includes:
s5: when the sensor is in the load-on/load-off state, its load value WCAnd creep valueCComprises the following steps:
Wc=fCn-0
C0
wherein f isCnIs the current sample value of the sensor and,0is the previous creep value at the current time.
In the embodiment of the present invention, the load shedding process in fig. 2 is exemplified. When the point C reaches the point C1 from C0, if the output increment | Δ m | < > at the point C1 passes, the sensor enters a creep state from a load shedding state (namely the end of the load shedding stage) after the point C1 passes. Weighing apparatus record fCnThe sample value at C1 is f 1. Creep value during the deloading phaseCRemaining unchanged, current load value W1Comprises the following steps:
W1=W0+Δm=W0+(f0-f1)=f1-(f0-W0)=f1-0
it can be seen that when the sensor is in the load-on/load-off state, the actual load value changes after the load-on/load-off state, and the creep valueCAnd remains unchanged after the load-up/load-down state. Therefore, in an environment with gradually changed temperature, the influence of the temperature on the sensor is relatively slow, and can be equivalent to the influence generated by the creep of the sensor, and the creep is an iterative process in the whole process, and the creep value is reduced for the calculation of the actual load, so that the influence caused by the non-suddenly changed temperature can be overcome.
Referring to fig. 2, if yes, the creep process of the sensor is determined to be stable, and the second sensor sampling value f is recordedC2In the step of (a) of (S4,the method comprises the following steps:
s41: when the sensor is in creep state, its load value WCAnd creep valueCComprises the following steps:
Wc=W0
C=fCn-W0
wherein f isCnFor the current sample value of the sensor, W0Is the previous actual load value at the current moment.
In the present example, the creep process in the unloading stage in fig. 2 is exemplified. When point C moves from the left of C0 to C0, the weighing apparatus detects | Δ m>While Δ m<0, then it may be determined that at time C0, the sensor entered the unloaded state from the creep state (i.e., the creep process ended). It can be found that f reaches the point C0CnHas a sampling value of f0,So creep valueC=f0-W0Actual load value W after creepCAnd the actual load value W before creep0Are equal. Therefore, in the working process of the sensor, the creep value is tracked, and the working precision of the weighing sensor is improved.
In summary, the output values of the sensor are frequently scanned, and the variation of the output values is compared with the set threshold, so as to determine the state (loading/unloading state or creep state) of the sensor. Corresponding data processing is performed in different states: if the sensor just enters an loading/unloading state, the creep process is ended, and the total creep value can be obtained; if the sensor enters the load increasing/reducing state, the current weighing value is monitored at all times until the load increasing/reducing state is finished; when the loading/unloading state is finished, the sensor enters a creep process, which means that the loading/unloading process is finished, and the current value of the load is recorded and is in the creep process until the state is newly changed.
Further, the step S21 of determining whether the output increment | Δ m | is smaller than the threshold value includes:
s211: acquiring precision grade information, range information, maximum comprehensive error information and AD digit information of a sensor;
s212: and determining a specific numerical value of the threshold according to the precision grade information, the range information, the maximum comprehensive error information and the AD digit information.
In the embodiment of the invention, the threshold value is determined according to the precision grade, the measuring range, the maximum comprehensive error and the number of AD bits of the weighing sensor, for example, the weighing sensor with the measuring range of 20kg and the precision grade of C4 has the maximum comprehensive error of +/-0.015% FS, the AD converter is of a ∑ -delta type of 24 bits, the division value of the sensor can be determined to be 20kg/4000 to 5g according to the precision grade and the measuring range, the maximum error value of +/-0.015% FS and 20kg to 3g according to the comprehensive error and the measuring range, the effective bit of 24-bit AD sampling is 19 bits, so that for the sensor with the measuring range of 20kg, the theoretical sensitivity is 20kg/2 to 19 to 0.038g, 10 times of sensitivity is generally taken as the theoretical resolution, namely, the resolution is 0.38g, the visible theoretical resolution is smaller than the division value and the maximum comprehensive error, and the threshold value is selected on the basis of the theoretical resolution, the debugging value is larger than the division value, the debugging resolution is generally taken as the theoretical resolution, and the threshold value is determined according to the practical debugging threshold value which is 2-5 times of the theoretical resolution.
Referring to fig. 3, the present invention provides a creep compensation apparatus for a load cell to prevent shaking, comprising:
a sampling module 1 for obtaining a sensor sampling value f according to a preset frequencyCn
A first judging module 2 for judging the sampling value f of the first sensorC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state, wherein the creep state comprises a positive creep state and a negative creep state;
a second judging module 3, configured to, if so, obtain a second sensor sample value fC2Based on the second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again;
a recording module 4, which is used for judging that the creep process of the sensor is stable if the sampling value f is positive, and recording the sampling value f of the second sensorC2
In the embodiment of the invention, the weighing equipment acquires the sampling value f of the sensor according to the preset frequencyCn,Wherein the sensor is a single sensor; based on the value f of the first sensor sampleC1And the previous sensor sample value fC0And judging whether the state of the sensor is a creep state or not. And if the sensor is in the creep state, judging whether the sensor is in the same creep state again. The specific situation is that the results of the first judgment and the second judgment are both in a positive creep state, or the results of the first judgment and the second judgment are both in a negative creep state. If the positive creep state or the negative creep state is judged for two times, the creep process of the sensor is judged to be stable, and a second sensor sampling value f is recordedC2. Therefore, when the sensor enters a creep stage from the loading/unloading stage, the sampling is continued, and if the two continuous sampling results are positive creep or negative creep (the creep value is a positive value or a negative value), the creep process is judged to be stable. By the condition that the creep process is judged to be stable if the two continuous sampling results are positive creep or negative creep, multiple creep judgment caused by shaking can be eliminated, and the working accuracy of the weighing sensor is improved. In addition, only when the weighing sensor enters a creep stage, the weighing and sampling can be regarded as being finished, and the result can be issued to the outside.
Referring to fig. 4, the present application further provides a storage medium 100, in which a computer program 200 is stored in the storage medium 100, when the computer program runs on a computer, the computer is enabled to execute the creep compensation method for anti-shake of the load cell described in the above embodiments.
It will be appreciated by a person skilled in the art that the load cell according to the invention is used in a creep compensation device for anti-shake and the above-mentioned apparatus for performing one or more of the methods described in the present application. These devices may be specially designed and manufactured for the required purposes, or they may comprise known devices in general-purpose computers. These devices have stored therein computer programs or applications that are selectively activated or reconfigured. Such a computer program may be stored in a device (e.g., computer) readable medium, including, but not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magnetic-optical disks, ROMs (Read-Only memories), RAMs (Random access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a bus. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A creep compensation method for a weighing sensor used for anti-shake is characterized by comprising the following steps:
according to a preset frequency, acquiring a sensor sampling value fCn
Based on the value f of the first sensor sampleC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state or not, wherein the creep state comprises a positive creep state and a negative creep state;
if yes, acquiring a second sensor sampling value fC2Based on said second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again;
if so, judging that the creep process of the sensor is stable, and recording the sampling value f of the second sensorC2
2. The weighing sensor of claim 1 used for anti-shakeCreep compensation method, characterized in that the value f is sampled according to a first sensorC1And the previous sensor sample value fC0And judging whether the state of the sensor is a creep state or not, wherein the step comprises the following steps:
judging whether the output increment | Δ m | is smaller than a threshold value, wherein, Δ m ═ fCn-fCn-1
If yes, judging whether the delta m is larger than 0;
if so, it is determined that the sensor is in a positive creep state.
3. The creep compensation method for preventing shaking of a load cell according to claim 2, wherein the step of determining whether Δ m is greater than 0 is followed by:
if not, determining that the sensor is in a negative creep state.
4. The creep compensation method for vibration prevention of a load cell according to claim 2, wherein said step of determining whether the output increment | Δ m | is less than a threshold value is followed by the steps of:
if not, judging whether the delta m is larger than 0;
if yes, the sensor is judged to be in a loading state.
5. The creep compensation method for preventing shaking of a weighing sensor according to claim 4, wherein the step of determining whether Δ m is greater than 0 if no is followed by the step of:
and if not, judging that the sensor is in a load shedding state.
6. The creep compensation method for preventing shake of a weighing sensor according to any one of claims 2 to 5, wherein if yes, the creep process of the sensor is determined to be stable, and the second sensor sampling value f is recordedC2After the step (2), comprising:
when the sensor is in the load-on/load-off state, its load value WCAnd creep valueCComprises the following steps:
Wc=fCn-0
C0
wherein f isCnIs the current sample value of the sensor and,0is the previous creep value at the current time.
7. The creep compensation method for preventing shake of a weighing sensor according to any one of claims 2 to 5, wherein if yes, the creep process of the sensor is determined to be stable, and the second sensor sampling value f is recordedC2The method comprises the following steps:
when the sensor is in creep state, its load value WCAnd creep valueCComprises the following steps:
Wc=W0
C=fCn-W0
wherein f isCnFor the current sample value of the sensor, W0Is the previous actual load value at the current moment.
8. The creep compensation method for vibration prevention of a load cell according to any one of claims 2 to 5, wherein the step of determining whether the output increment | Δ m | is less than a threshold value comprises:
acquiring precision grade information, range information, maximum comprehensive error information and AD digit information of the sensor;
and determining a specific numerical value of the threshold according to the precision grade information, the range information, the maximum comprehensive error information and the AD digit information.
9. A creep compensation device for a weighing sensor used for anti-shake is characterized by comprising:
a sampling module for acquiring a sensor sampling value f according to a preset frequencyCn
A first judging module for judging the sampling value f of the first sensorC1And the previous sensor sample value fC0Judging whether the state of the sensor is a creep state, wherein the creep state comprises a positive creep state and a negative creep state;
a second judging module for acquiring a second sensor sampling value f if soC2Based on said second sensor sample value fC2And the first sensor sample value fC1Judging whether the sensors are in the same creep state again;
a recording module used for judging the creep process of the sensor to be stable if the second sensor sampling value f is in the positive state and recording the second sensor sampling value fC2
10. A storage medium, characterized in that it is a computer-readable storage medium on which a computer program is stored which, when executed, implements a creep compensation method for a load cell for anti-shake according to any of claims 1 to 8.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113694305A (en) * 2021-09-01 2021-11-26 深圳市冠辰科技有限公司 Weighing sensing dynamic compensation method and device, medium and electronic equipment
CN113701859A (en) * 2021-08-26 2021-11-26 深圳诺博医疗科技有限公司 Weighing counting method, device, system, computer equipment and readable storage medium
CN114383971A (en) * 2022-01-19 2022-04-22 河南中原光电测控技术有限公司 Calculation method of weighing type evaporation sensor

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN87102198A (en) * 1987-03-20 1988-08-17 中国科学院合肥智能机械研究所 The Method and circuits of simulation of creep compensation in strain-gauge transducer
CN1401975A (en) * 2002-09-13 2003-03-12 梅特勒-托利多(常州)称重设备系统有限公司 Creep fuzzy compensation method of weighing sensor
CN103103974A (en) * 2013-02-02 2013-05-15 青岛理工大学 Method for detecting slope stability by monitoring displacement directivity parameters
CN204330503U (en) * 2015-01-19 2015-05-13 安徽理工大学 A kind of two station strain gauge load cell creep loading device for testing
CN204405456U (en) * 2015-01-19 2015-06-17 安徽理工大学 A kind of four station strain gauge load cell creep loading device for testing
CN105203193A (en) * 2015-08-18 2015-12-30 梅特勒-托利多(常州)精密仪器有限公司 Weighing method and weighing system
CN107966548A (en) * 2017-11-09 2018-04-27 东南大学 A kind of Forecasting Methodology of bituminous paving unstability type track time of origin
JP2018205066A (en) * 2017-06-01 2018-12-27 三菱Fbrシステムズ株式会社 Creep prediction method of laminated elastic body
CN109196319A (en) * 2016-02-24 2019-01-11 赛世铁克 digital creep and drift correction
JP2019048319A (en) * 2017-09-11 2019-03-28 株式会社Ihi Method for estimation of heat-affected zone width of weld part and welding method by use of estimation method
CN110129409A (en) * 2019-04-08 2019-08-16 北京化工大学 A kind of anaerobic digestion process enters the determination method of stabilization sub stage
CN110849459A (en) * 2019-10-24 2020-02-28 华帝股份有限公司 Creep deformation correction method for weighing sensor

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN87102198A (en) * 1987-03-20 1988-08-17 中国科学院合肥智能机械研究所 The Method and circuits of simulation of creep compensation in strain-gauge transducer
CN1401975A (en) * 2002-09-13 2003-03-12 梅特勒-托利多(常州)称重设备系统有限公司 Creep fuzzy compensation method of weighing sensor
CN103103974A (en) * 2013-02-02 2013-05-15 青岛理工大学 Method for detecting slope stability by monitoring displacement directivity parameters
CN204330503U (en) * 2015-01-19 2015-05-13 安徽理工大学 A kind of two station strain gauge load cell creep loading device for testing
CN204405456U (en) * 2015-01-19 2015-06-17 安徽理工大学 A kind of four station strain gauge load cell creep loading device for testing
CN105203193A (en) * 2015-08-18 2015-12-30 梅特勒-托利多(常州)精密仪器有限公司 Weighing method and weighing system
CN109196319A (en) * 2016-02-24 2019-01-11 赛世铁克 digital creep and drift correction
JP2018205066A (en) * 2017-06-01 2018-12-27 三菱Fbrシステムズ株式会社 Creep prediction method of laminated elastic body
JP2019048319A (en) * 2017-09-11 2019-03-28 株式会社Ihi Method for estimation of heat-affected zone width of weld part and welding method by use of estimation method
CN107966548A (en) * 2017-11-09 2018-04-27 东南大学 A kind of Forecasting Methodology of bituminous paving unstability type track time of origin
CN110129409A (en) * 2019-04-08 2019-08-16 北京化工大学 A kind of anaerobic digestion process enters the determination method of stabilization sub stage
CN110849459A (en) * 2019-10-24 2020-02-28 华帝股份有限公司 Creep deformation correction method for weighing sensor

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李明明,岳桂珍: "《称重传感器蠕变的评定与验证》", 《传感器应用技术》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113701859A (en) * 2021-08-26 2021-11-26 深圳诺博医疗科技有限公司 Weighing counting method, device, system, computer equipment and readable storage medium
CN113701859B (en) * 2021-08-26 2023-12-12 深圳诺博医疗科技有限公司 Weighing counting method, device, system, computer equipment and readable storage medium
CN113694305A (en) * 2021-09-01 2021-11-26 深圳市冠辰科技有限公司 Weighing sensing dynamic compensation method and device, medium and electronic equipment
CN114383971A (en) * 2022-01-19 2022-04-22 河南中原光电测控技术有限公司 Calculation method of weighing type evaporation sensor

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