CN115638862A - Calibration method and system of weighing equipment and electronic equipment - Google Patents
Calibration method and system of weighing equipment and electronic equipment Download PDFInfo
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- CN115638862A CN115638862A CN202211050300.1A CN202211050300A CN115638862A CN 115638862 A CN115638862 A CN 115638862A CN 202211050300 A CN202211050300 A CN 202211050300A CN 115638862 A CN115638862 A CN 115638862A
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Abstract
The embodiment of the application belongs to the technical field of weighing sensor calibration and relates to a calibration method of weighing equipment. The invention provides a calibration method of weighing equipment, which specifically comprises the following steps: after n calibration weights with different weights are respectively placed on a weighing device, the weights of the n calibration weights are sequentially increased, and output AD values of the sensors are respectively obtained; after each calibration weight is placed on the weighing platform again for k times, k actual AD values of each calibration weight are obtained; constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and calculating the output weight value of the measured object on the weighing device. The method and the device have the advantages that the single sensor is subjected to multi-point calibration, and the accuracy of the weighing of the measured object is improved by constructing the compensation curve.
Description
Technical Field
The invention relates to the technical field of resistance strain sensor calibration, in particular to a method and a system for calibrating weighing equipment and electronic equipment.
Background
With the continuous improvement of the requirement of enterprises on the accuracy of ingredients, the requirements on the accuracy and the calibration accuracy of the sensor are higher and higher. Only a high-precision and high-accuracy calibration sensor can improve the weighing precision of the ingredients. Most of the previous sensor calibrations are simple average value calibration and single fixed point calibration, and random errors and linear errors exist in the calibration process, so that inaccurate weighing is caused.
Disclosure of Invention
The embodiment of the application aims to provide a method and a device for calibrating weighing equipment, and the method and the device improve the weighing accuracy.
In order to solve the above technical problem, an embodiment of the present application provides a method for calibrating a weighing device, which adopts the following technical scheme: the calibration method comprises the following steps:
after n calibration weights with different weights are respectively placed on a weighing device, the weights of the n calibration weights are sequentially increased, and output AD values of the sensors are respectively obtained;
after each calibration weight is rearranged to the weighing platform for k times, k actual AD values of each calibration weight are obtained;
constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and
and calculating the output weight value of the measured object on the weighing device.
Preferably, the specific step of determining the output weight value of each calibration weight on the weighing apparatus according to the n calibration weights and the k actual AD values corresponding to each calibration weight includes:
screening m effective AD values from the k actual AD values of each calibration weight;
calculating the AD average value of the corresponding calibration weight according to the m effective AD values of each calibration weight; and
and constructing a compensation curve of the sensor according to the AD average value of each calibration weight.
The specific steps of screening out m effective AD values from the k actual AD values of each calibration weight comprise:
sequencing k actual AD values of each calibration weight according to a preset rule;
calculating the difference value between adjacent AD numerical values in the k actual AD numerical values sequenced by each calibration weight; and
and screening out m continuous AD values with the minimum difference value as m effective AD values.
Preferably, the specific step of calculating the output weight value of the measured object on the weighing device includes:
acquiring an actual AD value X of a measured object;
determining an AD value interval on the compensation curve according to the actual AD value X of the measured object, and recording the values of two end points of the interval as A n And A n+1 Wherein the value of n is 0 and a positive integer, and the horizontal axis of the compensation curve is weight and the vertical axis is AD value;
according to the value A of two endpoints in the region n 、A n+1 And the compensation curve obtains a two-endpoint value A n And A n+1 The corresponding weight values are respectively marked as T n And T n+1 ；
Calculating the output weight value of the measured object on the weighing device:
W＝A n +(X-A n )/(A n+1 -A n )/(T n+1 -T n )。
further, the present application further provides a calibration system for a weighing apparatus, where the weighing apparatus includes a sensor and a weighing platform, and the calibration system includes:
the first generation module is used for sequentially increasing the weight of n calibration weights after the n calibration weights with different weights are respectively placed on the weighing equipment, and respectively acquiring the output AD values of the sensors;
the second generation module is used for acquiring k actual AD values of each calibration weight after each calibration weight is placed on the weighing platform again for k times;
the construction module is used for constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and
and the calculating module is used for calculating the output weight value of the measured object on the weighing equipment.
Preferably, the building block comprises: the screening submodule is used for screening m effective AD values from the k actual AD values of each calibration weight;
the first calculation submodule is used for calculating the AD average value of the corresponding calibration weight according to the m effective AD values of each calibration weight;
and the second calculation submodule is used for calculating the output weight value of each calibration weight on the weighing equipment according to the AD average value of each calibration weight.
Preferably, the screening submodule comprises:
the sequencing unit is used for sequencing the k actual AD values of each calibration weight according to a preset rule;
the first calculation unit is used for calculating the difference value between adjacent AD values in the k actual AD values sequenced by each calibration weight; and
and the screening unit is used for screening out m continuous AD values with the minimum difference value as m effective AD values.
Preferably, the first and second electrodes are formed of a metal,
the calculation module comprises:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an actual AD value X of a measured object;
a second obtaining unit, configured to determine an AD value interval on the compensation curve according to the actual AD value X of the measured object, and record a point value at two ends of the interval as a n And A n+1 Wherein the value of n is 0 and a positive integer, and the horizontal axis of the compensation curve is weight and the vertical axis is AD value;
a third obtaining unit for obtaining the two endpoint values A according to the region n 、A n+1 And the compensation curve is obtainedEndpoint value A n And A n+1 The corresponding weight values are respectively marked as T n And T n+1 ；
The second calculating unit is used for calculating the output weight value of the measured object on the weighing device:
W＝A n +(X-A n )/(A n+1 -A n )/(T n+1 -T n )。
the present application further provides an electronic device, wherein the electronic device includes:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the calibration method of the weighing equipment.
The present application also provides a computer-readable storage medium characterized in that: the computer readable storage medium stores at least one instruction, and the at least one instruction is executed by a processor in the electronic device to implement the calibration method of the weighing apparatus.
Compared with the prior art, the embodiment of the application mainly has the following beneficial effects: the invention provides a calibration method of weighing equipment. The shortcoming that weighing sensor linearity is not enough is solved to this application, realizes the multiple spot calibration to single sensor to the precision and the degree of accuracy that the measured object weighed have been improved.
Drawings
In order to more clearly illustrate the solution of the present application, the drawings needed for describing the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained by those skilled in the art without inventive effort.
FIG. 1 is a flow chart of one embodiment of a method for calibrating a touch sensor of a weighing apparatus according to the present application;
FIG. 2 is a flowchart of one embodiment of step S300 of FIG. 1;
FIG. 3 is a flowchart of one embodiment of step S310 in FIG. 2;
FIG. 4 is a flowchart of one embodiment of step S400 of FIG. 1;
FIG. 5 is a block diagram of one embodiment of a calibration system for a weighing apparatus according to the present application;
FIG. 6 is a block diagram of one embodiment of a building block of FIG. 5;
FIG. 7 is a block diagram of one embodiment of the screening module of FIG. 6;
FIG. 8 is a block diagram of one embodiment of a compute module of FIG. 5;
fig. 9 is a schematic structural diagram of an electronic device according to a preferred embodiment of the method for evaluating an operating pressure loss value of a hydraulic actuator according to the present invention.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "including" and "having," and any variations thereof, in the description and claims of this application and the description of the above figures are intended to cover non-exclusive inclusions. The terms "first," "second," and the like in the description and claims of this application or in the above-described drawings are used for distinguishing between different objects and not for describing a particular order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
As shown in fig. 1, it is a flow chart of the calibration method of the weighing apparatus of the present invention, which includes:
s100, after n calibration weights with different weights are respectively placed on a weighing device, sequentially increasing the weights of the n calibration weights, and respectively acquiring output AD values of the sensors;
in the embodiment of the present invention, the weighing device is an electronic scale, which is used for weighing a small dose of powder, so that there is a requirement on the precision of the electronic scale, the sensor of the electronic scale needs to be calibrated before weighing, and the weights of the n calibration weights can be respectively 5g, 10g, 20g, 30g, 40g, 50g, etc., but are not limited thereto;
for example, after a calibrated 5g weight is placed on an electronic scale, the sensor outputs an equal proportion millivolt voltage signal according to the weight of the weighed weight, the millivolt voltage signal is converted into a digital signal through a digital-to-analog converter in a calibration system, and the digital signal is an AD value, and the AD value is stored in a memory.
S200, after each calibration weight is placed on the weighing platform again for k times, k actual AD values of each calibration weight are obtained;
in the embodiment of the invention, a 5g weight is placed on a weighing platform, an AD value is read, the 5g weight is repeatedly placed on the weighing platform, the AD value of each time is respectively recorded and stored in a memory, and the AD value is specifically and respectively recorded as AD 1 ……AD K The value of K may be selected according to the actual sensor sensitivity, such as 100, 200, etc.
S300, constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight;
and S400, calculating an output weight value of the measured object on the weighing device.
The invention adopts n calibration weights with different weights to calibrate the single sensor, thereby constructing a compensation curve of the sensor to make up for the defect of insufficient linearity of the sensor and further improving the weighing accuracy of the measured object.
Fig. 2 is a flowchart of an embodiment of step S300, in this embodiment, step S300 specifically includes the following steps:
s310, screening m effective AD values from the k actual AD values of each calibration weight;
s320, calculating the AD average value of the corresponding calibration weight according to the m effective AD values of each calibration weight;
s330, constructing a compensation curve of the sensor according to the AD average value of each calibration weight.
In the embodiment of the present invention, for example, the calibration weights of 5g, 10g, and 20g are taken as examples, the compensation curve is a connecting line whose weight is abscissa and AD value is ordinate, and when the AD average value calculated by the calibration weight of 5g is A1, the compensation curve of 0-5g is the origin (0,0) and the end point is O (A1, 5 g); if the AD average value calculated by the 10g calibration weight is A2, taking the compensation curve of 5-10g as a connecting line with the starting point of O (A1, 5 g) and the end point of B (A2, 10 g); when the calculated average AD value corresponding to the weight of 20g is A3, the compensation curve of 5-10g is the connecting line with the starting point of B (A2, 10 g) and the end point of C (A3, 20 g).
Fig. 3 is a flowchart of an embodiment of step S310, in this embodiment, step S310 specifically includes the following steps:
s311, sequencing k actual AD values of each calibration weight according to a preset rule;
in the embodiment of the invention, the arrangement sequence of the K actual AD values of each calibration weight is ascending or descending;
s312, calculating the difference value between adjacent AD numerical values in the k actual AD numerical values sequenced by each calibration weight;
s313, screening out m continuous AD values with the minimum difference as m effective AD values.
Fig. 4 is a flowchart of an embodiment of step S400, in this embodiment, step S400 specifically includes the following steps:
s410, acquiring an actual AD value X of a measured object;
s420, according to theDetermining the actual AD value X of the object to be measured in the AD value interval on the compensation curve, and recording the two end point values of the interval as A n And A n+1 Wherein the value of n is 0 and a positive integer, and the horizontal axis of the compensation curve is weight and the vertical axis is AD value;
s430, according to the point value A at two ends of the section n 、A n+1 And the compensation curve obtains a two-endpoint value A n And A n+1 The corresponding weight values are respectively marked as T n And T n+1 ；
S440, calculating an output weight value of the measured object on the weighing device:
W＝A n +(X-A n )/(A n+1 -A n )/(T n+1 -T n )。
in order to implement the method shown in fig. 1, the present application provides a schematic structural diagram of an embodiment of a calibration method for a weighing apparatus, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 1, and the apparatus may be applied to various electronic devices.
As shown in fig. 5, the calibration system 500 of the weighing apparatus according to this embodiment includes:
the first generation module 510 is configured to, after n calibration weights with different weights are respectively placed on the weighing device, sequentially increase the weights of the n calibration weights, and respectively obtain output AD values of the sensor; and
a second generating module 520, configured to obtain k actual AD values of each calibration weight after each calibration weight is placed on the weighing platform again k times;
a construction module 530, configured to construct a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and
and the calculating module 540 is used for calculating the output weight value of the measured object on the weighing device.
In the embodiment of the present invention, please refer to fig. 6, which is a schematic structural diagram of an embodiment of the calculating module 530, wherein the constructing module 530 includes:
the screening submodule 531 is used for screening m effective AD values from the k actual AD values of each calibration weight;
the first calculation submodule 532 is used for calculating the AD average value of the corresponding calibration weight according to the m effective AD numerical values of each calibration weight;
the second calculating submodule 533 is configured to calculate an output weight value of each calibration weight on the weighing apparatus according to the AD average value of each calibration weight.
In the embodiment of the present invention, please refer to fig. 7, which is a schematic structural diagram of a specific implementation of the screening submodule 531, where the screening submodule 531 includes:
the sorting unit 5311 is configured to sort the k actual AD values of each calibration weight according to a preset rule;
the first calculating unit 5312 is configured to calculate a difference between adjacent AD values of the k actual AD values sorted by each calibration weight; and
a screening unit 5313 configured to screen m consecutive AD values with the smallest difference as m valid AD values.
In an embodiment of the present invention, please refer to fig. 8, which is a schematic structural diagram of a specific implementation manner of a computing module 540, wherein the computing module 540 includes:
a first obtaining unit 541, configured to obtain an actual AD value X of a measured object;
a second obtaining module 542, configured to determine an AD value interval on the compensation curve according to the actual AD value X of the measured object, and record a point value at two ends of the interval as a n And A n+1 Wherein the value of n is 0 and a positive integer, and the horizontal axis of the compensation curve is weight and the vertical axis is AD value;
a third obtaining unit 543 for obtaining a point value a according to two ends of the region n 、A n+1 And the compensation curve obtains a two-endpoint value A n And A n+1 The corresponding weight values are respectively denoted as T n And T n+1 ；
A second calculating unit 544, configured to calculate an output weight value of the measured object on the weighing apparatus:
W＝A n +(X-A n )/(A n+1 -A n )/(T n+1 -T n )。
fig. 9 is a schematic structural diagram of an electronic device implementing a data determination method according to a preferred embodiment of the present invention. The electronic device 1 is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
The electronic device 1 may also be, but is not limited to, any electronic product that can perform human-computer interaction with a user through a keyboard, a mouse, a remote controller, a touch panel, or a voice control device, for example, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an interactive web tv (IPPV), an intelligent wearable device, a robot, or the like.
The electronic device 1 may also be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices.
The network where the electronic device 1 is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a Virtual Private Network (VPN), and the like.
In one embodiment of the present invention, the electronic device 1 includes, but is not limited to, a memory 12, a processor 13, and a computer program, such as a data determination program, stored in the memory 12 and executable on the processor 13.
It will be appreciated by a person skilled in the art that the schematic diagram is only an example of the electronic device 1 and does not constitute a limitation of the electronic device 1, and that it may comprise more or less components than shown, or some components may be combined, or different components, e.g. the electronic device 1 may further comprise an input output device, a network access device, a bus, etc.
The Processor 13 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate Array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The processor 13 is an operation core and a control center of the electronic device 1, and is connected to each part of the whole electronic device 1 by various interfaces and lines, and executes an operating system of the electronic device 1 and various installed application programs, program codes, and the like.
The processor 13 executes an operating system of the electronic device 1 and various installed application programs. The processor 13 executes the application program to implement the steps in the above-described various data determination method embodiments, such as steps S100, S200, S300, S400 shown in fig. 1.
Alternatively, the processor 13, when executing the computer program, implements the functions of each module/unit in the foregoing device embodiments, for example: after n calibration weights with different weights are respectively placed on a weighing device, the weights of the n calibration weights are sequentially increased, and output AD values of the sensors are respectively obtained; after each calibration weight is placed on the weighing platform again for k times, k actual AD values of each calibration weight are obtained; constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and calculating the output weight value of the measured object on the weighing device.
Illustratively, the computer program may be divided into one or more modules/units, which are stored in the memory 12 and executed by the processor 13 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program in the electronic device 1. For example, the computer program may be partitioned into a first generation module 510, a second generation module 520, a construction module 530, and a calculation module 540.
The memory 12 can be used for storing the computer programs and/or modules, and the processor 13 implements various functions of the electronic device 1 by running or executing the computer programs and/or modules stored in the memory 12 and calling data stored in the memory 12. The memory 12 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 12 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The memory 12 may be an external memory and/or an internal memory of the electronic device 1. Further, the memory 12 may be a circuit having a memory function without a physical form In an integrated circuit, such as a RAM (Random-access memory), a FIFO (first In first p OuP), and the like. Alternatively, the memory 12 may be a memory in a physical form, such as a memory bank, a PF Card (Prans-flash Card), or the like.
The integrated modules/units of the electronic device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented.
Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In conjunction with fig. 1, the memory 12 in the electronic device 1 stores a plurality of instructions to implement a data determination method, and the processor 13 may execute the plurality of instructions to implement: after n calibration weights with different weights are respectively placed on a weighing device, the weights of the n calibration weights are sequentially increased, and output AD values of the sensors are respectively obtained; after each calibration weight is placed on the weighing platform again for k times, k actual AD values of each calibration weight are obtained; constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and calculating the output weight value of the measured object on the weighing device.
Specifically, the processor 13 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the instruction, which is not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It should be understood that the above-described embodiments are merely exemplary of some, and not all, embodiments of the present application, and that the drawings illustrate preferred embodiments of the present application without limiting the scope of the claims appended hereto. This application is capable of embodiments in many different forms and is provided for the purpose of enabling a thorough understanding of the disclosure of the application. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to one skilled in the art that the present application may be practiced without modification or with equivalents of some of the features described in the foregoing embodiments. All equivalent structures made by using the contents of the specification and the drawings of the present application are directly or indirectly applied to other related technical fields and are within the protection scope of the present application.
Claims (10)
1. A calibration method of weighing equipment, wherein the weighing equipment comprises a weighing platform and a sensor, is characterized by comprising the following steps:
after n calibration weights with different weights are respectively placed on the weighing equipment, the weights of the n calibration weights are sequentially increased, and output AD values of the sensors are respectively obtained;
after each calibration weight is placed on the weighing platform again for k times, k actual AD values of each calibration weight are obtained;
constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and
and calculating the output weight value of the measured object on the weighing device.
2. The method for calibrating a weighing apparatus according to claim 1, wherein the step of constructing the compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight comprises:
screening m effective AD values from the k actual AD values of each calibration weight;
calculating the AD average value of the corresponding calibration weight according to the m effective AD values of each calibration weight; and
and constructing a compensation curve of the sensor according to the AD average value of each calibration weight.
3. The method for calibrating a weighing apparatus according to claim 2, wherein the step of screening out m valid AD values from the k actual AD values of each calibration weight comprises:
sequencing k actual AD values of each calibration weight according to a preset rule;
calculating the difference value between adjacent AD numerical values in the k actual AD numerical values sequenced by each calibration weight; and
and screening out m continuous AD values with the minimum difference value as m effective AD values.
4. The method for calibrating the weighing apparatus according to claim 2, wherein the step of calculating the output weight value of the measured object on the weighing apparatus comprises:
acquiring an actual AD value X of a measured object;
determining an AD value interval on the compensation curve according to the actual AD value X of the measured object, and recording the values of two end points of the interval as A n And A n+1 Wherein n has a value of 0 and a positive integer, andthe horizontal axis of the compensation curve is weight, and the vertical axis is AD value;
according to the value A of two endpoints in the region n 、A n+1 And the compensation curve obtains a two-endpoint value A n And A n+1 The corresponding weight values are respectively marked as T n And T n+1 ；
Calculating the output weight value of the measured object on the weighing equipment:
W＝A n +(X-A n )/(A n+1 -A n )/(T n+1 -T n )。
5. a calibration system of weighing equipment, the weighing equipment comprises a sensor and a weighing platform, and is characterized in that the calibration system comprises:
the first generation module is used for sequentially increasing the weight of n calibration weights after the n calibration weights with different weights are respectively placed on the weighing equipment, and respectively acquiring the output AD numerical values of the sensor;
the second generation module is used for acquiring k actual AD values of each calibration weight after each calibration weight is placed on the weighing platform again for k times;
the construction module is used for constructing a compensation curve of the sensor according to the n calibration weights and the k actual AD values corresponding to each calibration weight; and
and the calculating module is used for calculating the output weight value of the measured object on the weighing equipment.
6. The system for calibrating a weighing apparatus according to claim 5, wherein said building module comprises:
the screening submodule is used for screening m effective AD values from the k actual AD values of each calibration weight;
the first calculation submodule is used for calculating the AD average value of the corresponding calibration weight according to the m effective AD values of each calibration weight;
and the second calculation submodule is used for calculating the output weight value of each calibration weight on the weighing equipment according to the AD average value of each calibration weight.
7. The system for calibrating a weighing apparatus of claim 6, wherein the screening submodule comprises:
the sequencing unit is used for sequencing the k actual AD values of each calibration weight according to a preset rule;
the first calculation unit is used for calculating the difference value between adjacent AD values in the k actual AD values sequenced by each calibration weight; and
and the screening unit is used for screening out m continuous AD values with the minimum difference value as m effective AD values.
8. The system for calibrating a weighing apparatus according to claim 6, wherein said calculation module comprises:
the device comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring an actual AD value X of a measured object;
a second obtaining unit, configured to determine an AD value interval on the compensation curve according to the actual AD value X of the measured object, and record a point value at two ends of the interval as a n And A n+1 Wherein the value of n is 0 and a positive integer, and the horizontal axis of the compensation curve is weight and the vertical axis is AD value;
a third obtaining unit for obtaining the two endpoint values A according to the located interval n 、A n+1 And the compensation curve obtains a two-endpoint value A n And A n+1 The corresponding weight values are respectively marked as T n And T n+1 ；
The second calculating unit is used for calculating the output weight value of the measured object on the weighing device:
W＝A n +(X-A n )/(A n+1 -A n )/(T n+1 -T n )。
9. an electronic device, characterized in that the electronic device comprises:
a memory storing at least one instruction; and
a processor executing instructions stored in the memory to implement a method of calibrating a weighing apparatus according to any one of claims 1 to 4.
10. A computer-readable storage medium characterized by: the computer-readable storage medium has stored therein at least one instruction that is executable by a processor in an electronic device to implement a method of calibrating a weighing apparatus according to any one of claims 1 to 4.
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| CN202211050300.1A CN115638862A (en) | 2022-08-31 | 2022-08-31 | Calibration method and system of weighing equipment and electronic equipment |
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| CN202211050300.1A CN115638862A (en) | 2022-08-31 | 2022-08-31 | Calibration method and system of weighing equipment and electronic equipment |
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