CN115752687A - High-precision weighing method, device and equipment - Google Patents
High-precision weighing method, device and equipment Download PDFInfo
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- CN115752687A CN115752687A CN202211386325.9A CN202211386325A CN115752687A CN 115752687 A CN115752687 A CN 115752687A CN 202211386325 A CN202211386325 A CN 202211386325A CN 115752687 A CN115752687 A CN 115752687A
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Abstract
The invention relates to the technical field of weighing, in particular to a high-precision weighing method, a high-precision weighing device and high-precision weighing equipment, wherein the method comprises the steps of obtaining weighing data, compensating the weighing data through a pre-established error compensation algorithm model, and outputting the compensated weighing data; according to the method and the device, when the object is dynamically weighed, error compensation is performed on the obtained weighing data through the error compensation algorithm model, and therefore the problem that errors exist between the measured weight data and the actual weight data of the object during dynamic weighing is solved.
Description
Technical Field
The invention relates to the technical field of weighing, in particular to a high-precision weighing method, device and equipment.
Background
The elevator is a special device which is used in a building and mainly provides a lifting function, the elevator runs through a traction system arranged at the top to drive an elevator car and a counterweight to move up and down relatively, so that the load transmission of the car is realized, the elevator car is generally provided with a weighing device, the weighing device is generally connected to the car bottom, and the pressure change of the car bottom is sensed, so that the load of the car is obtained. Most elevators adopt laggard weighing devices with unstable performance, and the weighing devices adopt a static calibration and dynamic use method in the current dynamic weighing process, have problems and do not have zero calibration, and carry out error calibration with a characteristic curve, so that the measured weight data and the actual weight data of an object have errors.
Disclosure of Invention
In view of the above, the present invention provides a high-precision weighing method, apparatus and device to overcome the problem that there is an error between the measured weight data and the actual weight data of the object during the current dynamic weighing.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present application provides a high-precision weighing method, including:
acquiring weighing data;
compensating the weighing data through a pre-established error compensation algorithm model;
and outputting the compensated weighing data.
Further, the method described above, the method for establishing the error compensation algorithm model, includes:
acquiring weighing data continuously measured by a pressure sensor;
obtaining an error value of the pressure sensor according to the continuously measured weighing data, and carrying out zero point calibration;
weighing an object with a specified weight through the pressure sensor, and acquiring weight data;
acquiring a characteristic curve of the pressure sensor according to the error value of the pressure sensor and the weight data;
and analyzing an error source according to the characteristic curve, and establishing the error compensation algorithm model.
Further, the method mentioned above, wherein the compensating the weighing data by the pre-established error compensation algorithm model, comprises:
judging the stage of the error compensation algorithm model in which the weighing data is positioned;
and inputting the weighing data into the error compensation algorithm model for compensation according to a judgment result.
Further, the method described above, wherein the outputting the compensated weighing data comprises:
judging whether the compensated weighing data is data output by the error compensation algorithm model in a complete compensation period or not;
and if so, outputting the compensated weighing data.
In a second aspect, the present application provides a high precision weighing apparatus comprising:
the pressure sensor module is used for acquiring weighing data;
the data compensation module is used for compensating the weighing data through a pre-established error compensation algorithm model;
and the data output module is used for outputting the compensated weighing data.
Further, in the above device, the pressure sensor module is a resistance strain sensor.
Further, the device described above further includes a display module;
and the display module is used for displaying the output compensated weighing data.
Further, in the above device, the data compensation module is a single chip microcomputer.
In a third aspect, the present application provides a high precision weighing apparatus, comprising a processor and a memory, the processor being connected to the memory:
the processor is used for calling and executing the program stored in the memory;
the memory is used for storing the program, and the program is at least used for executing the high-precision weighing method.
The invention has the beneficial effects that:
according to the method, weighing data are obtained, then the weighing data are compensated through a pre-established error compensation algorithm model, and the compensated weighing data are output; according to the method and the device, when the object is dynamically weighed, error compensation is performed on the obtained weighing data through the error compensation algorithm model, and therefore the problem that errors exist between the measured weight data and the actual weight data of the object during dynamic weighing is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a high precision weighing method according to an embodiment of the present invention;
FIG. 2 is a schematic structural view of a high precision weighing apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram provided by an embodiment of the high-precision weighing apparatus of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It should be apparent that the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
The elevator is a special device which is used in a building and mainly provides a lifting function, the elevator runs through a traction system arranged at the top to drive an elevator car and a counterweight to move up and down relatively, so that the load transmission of the car is realized, the elevator car is generally provided with a weighing device, the weighing device is generally connected to the car bottom, and the pressure change of the car bottom is sensed, so that the load of the car is obtained. Most elevators adopt backward weighing devices with unstable performance, the conventional method of 'static calibration and dynamic use' for weighing devices in dynamic weighing has problems, zero calibration is not available, and error calibration is carried out on the weighing devices and a characteristic curve, so that errors exist between measured weight data and actual weight data of an object.
In view of the above, the present invention provides a high precision weighing method, apparatus and device to overcome the problem that the measured weight data and the actual weight data of the object have errors during the current dynamic weighing.
FIG. 1 is a flow chart of a high precision weighing method according to an embodiment of the present invention. Referring to fig. 1, the present embodiment may include the following steps:
s1, weighing data are obtained.
And S2, compensating the weighing data through a pre-established error compensation algorithm model.
And S3, outputting the compensated weighing data.
It can be understood that, in the embodiment, the weighing data is obtained, and then the weighing data is compensated through the pre-established error compensation algorithm model, and the compensated weighing data is output; according to the method and the device, when the object is dynamically weighed, the obtained weighing data is subjected to error compensation through the error compensation algorithm model, so that the problem that errors exist between the measured weight data and the actual weight data of the object during dynamic weighing is solved.
Preferably, the method for establishing the error compensation algorithm model includes:
acquiring weighing data continuously measured by a pressure sensor;
according to the continuously measured weighing data, obtaining an error value of the pressure sensor, and carrying out zero calibration;
weighing an object with a specified weight through a pressure sensor, and acquiring weight data;
acquiring a characteristic curve of the pressure sensor according to the error value and the weight data of the pressure sensor;
and analyzing error sources according to the characteristic curve, and establishing an error compensation algorithm model.
It can be understood that the resistance strain type weighing sensor has a problem of response time, that is, a time difference exists between the output value of the sensor from the action on the sensor to the measured weight and the true weight of the weight, and the response time of the sensor depends on parameters such as the structure of the sensor, and is generally in the order of hundreds of milliseconds. However, in the field of rapid weighing, sometimes the sensor cannot read the measured value after reaching a stable state, and an ideal solution is to shorten the transition time and make the system tend to be stable more quickly, i.e. improve the rapidity of the dynamic response of the sensor. The aim of dynamic compensation is achieved by establishing an error compensation algorithm model, connecting a compensation link with a sensor in series and continuously changing a zero-level point of the dynamic model along with the change of the dynamic model.
It should be noted that the error compensation algorithm model is composed of three stages, and three-stage compensation is performed on the weighing data respectively, and only the weighing data after the three-stage compensation is completed is accurate weighing data.
In some alternative embodiments, the first stage may be a mathematical model for dealing with the influence of the structural parameters of the parts of the digital scale on the dynamic performance of the system, the second stage may be a nonlinear static compensation model, and the third stage may be a linear dynamic compensation model.
Preferably, step S3 includes:
judging the stage of the error compensation algorithm model of the weighing data;
and inputting the weighing data into an error compensation algorithm model according to a judgment result for compensation.
It can be understood that, for more accurate compensation of the weighing data, the obtained data needs to be judged, which stage of the error compensation algorithm model is located is judged, and the data is input into the corresponding stage of the error compensation algorithm model according to the judgment result, so that the weighing data is ensured to complete a complete compensation period, and repeated compensation of the weighing data in the single error compensation algorithm model stage can be avoided.
Preferably, the method further comprises the following steps:
judging whether the compensated weighing data is data output by an error compensation algorithm model in a complete compensation period or not;
and if so, outputting the compensated weighing data.
It can be understood that, in order to ensure that the output compensation data is the weighing data after a complete compensation period, the data output by the error compensation algorithm model is checked, and the output compensated weighing data is judged to be the data output by the error compensation algorithm model for a complete compensation period, and then the compensated weighing data is output, and if the output compensation data does not pass a complete compensation period, the weighing data is obtained again, and compensation is performed again.
The invention also provides a high-precision weighing device which is used for realizing the embodiment of the method. Fig. 2 is a schematic structural diagram provided by an embodiment of a high-precision weighing apparatus according to the present invention. As shown in fig. 2, the present embodiment includes:
the pressure sensor module 1 is used for acquiring weighing data;
the data compensation module 2 is used for compensating the weighing data through a pre-established error compensation algorithm model;
and the data output module 3 is used for outputting the compensated weighing data.
Preferably, the pressure sensor module 1 is a resistive strain sensor.
It can be understood that the resistance strain sensor has the advantages of high sensitivity, good stability, good linearity, accuracy and reliability.
Preferably, the device also comprises a display module;
and the display module is used for displaying the output compensated weighing data.
Preferably, the data compensation module is a single chip microcomputer.
It can be understood that all modules of this embodiment are disposed on a circuit board, and the circuit board design adopts a differential circuit mode to implement first-stage filtering, thereby ensuring the stability of input data and the reliability of transmission.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
The invention also provides high-precision weighing equipment which is used for realizing the embodiment of the method. Fig. 3 is a schematic structural diagram provided by an embodiment of the high-precision weighing apparatus of the present invention. As shown in fig. 3, the high-precision weighing apparatus of the present embodiment includes a processor 21 and a memory 22, and the processor 21 is connected to the memory 22. Wherein, the processor 21 is used for calling and executing the program stored in the memory 22; the memory 22 is used to store the program at least for executing the high-precision weighing method in the above embodiment.
The specific implementation provided in the embodiment of the present application may refer to the implementation of the high-precision weighting method in any of the above embodiments, and details are not described here.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. A high-precision weighing method is characterized by comprising the following steps:
acquiring weighing data;
compensating the weighing data through a pre-established error compensation algorithm model;
and outputting the compensated weighing data.
2. The method of claim 1, wherein the method for establishing the error compensation algorithm model comprises:
acquiring weighing data continuously measured by a pressure sensor;
acquiring an error value of the pressure sensor according to the continuously measured weighing data, and performing zero point calibration;
weighing an object with a specified weight through the pressure sensor, and acquiring weight data;
acquiring a characteristic curve of the pressure sensor according to the error value of the pressure sensor and the weight data;
and analyzing an error source according to the characteristic curve, and establishing the error compensation algorithm model.
3. The method of claim 1, wherein said compensating the weighing data by a pre-established error compensation algorithm model comprises:
judging the stage of the error compensation algorithm model in which the weighing data is positioned;
and inputting the weighing data into the error compensation algorithm model for compensation according to a judgment result.
4. The method of claim 3, wherein said outputting the compensated weighing data comprises:
judging whether the compensated weighing data is data output by a complete compensation period of the error compensation algorithm model or not;
and if so, outputting the compensated weighing data.
5. A high accuracy weighing device, comprising:
the pressure sensor module is used for acquiring weighing data;
the data compensation module is used for compensating the weighing data through a pre-established error compensation algorithm model;
and the data output module is used for outputting the compensated weighing data.
6. The apparatus of claim 5, wherein the pressure sensor module is a resistive strain sensor.
7. The apparatus of claim 6, further comprising a display module;
and the display module is used for displaying the output compensated weighing data.
8. The apparatus of claim 7, wherein the data compensation module is a single chip.
9. A high precision weighing apparatus comprising a processor and a memory, the processor being connected to the memory:
the processor is used for calling and executing the program stored in the memory;
the memory for storing the program for performing at least the high precision weighing method of any one of claims 1-4.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211386325.9A CN115752687A (en) | 2022-11-07 | 2022-11-07 | High-precision weighing method, device and equipment |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211386325.9A CN115752687A (en) | 2022-11-07 | 2022-11-07 | High-precision weighing method, device and equipment |
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| Publication Number | Publication Date |
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| CN115752687A true CN115752687A (en) | 2023-03-07 |
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| CN202211386325.9A Pending CN115752687A (en) | 2022-11-07 | 2022-11-07 | High-precision weighing method, device and equipment |
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| CN (1) | CN115752687A (en) |
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