CN113591261A - Dynamic weighing equipment configuration method and system - Google Patents
Dynamic weighing equipment configuration method and system Download PDFInfo
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- CN113591261A CN113591261A CN202010360918.2A CN202010360918A CN113591261A CN 113591261 A CN113591261 A CN 113591261A CN 202010360918 A CN202010360918 A CN 202010360918A CN 113591261 A CN113591261 A CN 113591261A
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- 238000005303 weighing Methods 0.000 title claims abstract description 180
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000003672 processing method Methods 0.000 claims abstract description 52
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- 238000004519 manufacturing process Methods 0.000 description 4
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- G—PHYSICS
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- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
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Abstract
The invention discloses a method and a system for configuring dynamic weighing equipment, wherein the method comprises the following steps: acquiring weighing data of the dynamic weighing equipment during no-load according to a preset time length; dividing the weighing data into a plurality of groups of weighing data according to a plurality of preset unit times with different lengths; each group of weighing data is respectively processed by a plurality of preset data processing methods to obtain weighing result data; and analyzing and calculating error data of each weighing result data, and configuring a data processing method corresponding to the weighing result data with the minimum error data in the weighing result data corresponding to each unit time and the unit time into the equipment. The system of the invention comprises a meter and a processing device, which implement the method. The invention realizes the improvement of the weighing performance by simulating and calculating the relationship between the lengths of different weighed objects and the weighing processing method and identifying the optimal relationship between the length of the weighed object and the weighing data processing method.
Description
Technical Field
The invention relates to a method and a system for configuring a dynamic weighing apparatus.
Background
The weighing performance of a dynamic weighing apparatus is affected by the size of the object to be weighed, particularly the length of the object to be weighed, and the weighing data processing method.
To obtain weighing performance in association with the length of the object to be weighed and to obtain the relationship between the length of the object to be weighed and the weighing data processing method requires a large number of repeated test works. However, during the actual calibration, use and the like of the dynamic weighing device, a large amount of testing workload is a task which cannot be completed by manufacturers, engineers and operators.
In a specific application scenario of the determination of the length of the object to be weighed, manufacturers or users of the current dynamic weighing apparatuses utilize parameters formed by a large amount of empirical data and the like to correlate or process the relationship between the length of the object to be weighed and the weighing data processing method.
But more situations are that the length of the object to be weighed in the actual operation process of the equipment is difficult to determine in the production, manufacturing and debugging processes of the equipment, and even the length of the object to be weighed in the actual use scene is also variable, so that the influence of the length of the object to be weighed on weighing is difficult to deal with.
For this reason, a method of directly configuring a weighing data processing method or the like is also currently used to reduce the influence of the length of the object to be weighed on weighing. However, the application environments with different lengths of the object to be weighed have great influence on weighing, and the application environments with different lengths of the object to be weighed cannot be effectively coped with by adopting the conventional method for directly configuring weighing data processing method and the like, and the application environments with different lengths of the object to be weighed cannot be coped with, so that the weighing performance is reduced.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: in order to overcome the problem that the weighing performance of the dynamic weighing equipment in the prior art is influenced by the length of a weighed object, a configuration method and a configuration system of the dynamic weighing equipment are provided.
The invention solves the technical problems through the following technical scheme:
a dynamic weighing equipment configuration method comprises the following steps:
acquiring weighing data of the dynamic weighing equipment during no-load according to a preset time length;
dividing the weighing data into a plurality of groups of weighing data according to a plurality of preset unit times with different lengths;
each group of weighing data is respectively processed by a plurality of preset data processing methods to obtain weighing result data;
and analyzing and calculating error data of each weighing result data, and configuring a data processing method corresponding to the weighing result data with the minimum error data in the weighing result data corresponding to each unit time and the unit time into the equipment.
Preferably, the data processing method and the unit time corresponding to the weighing result data with the error data closest to the preset threshold are configured in the equipment, or the data processing method and the unit time corresponding to the weighing result data with the numerical value closest to the preset threshold after each error data is substituted into the preset function or model are configured in the equipment.
Preferably, the error data is obtained by respectively counting the mean and/or variance of the weighing result data.
Preferably, the data processing method is set according to parameters of an application environment where the dynamic weighing equipment is located.
Preferably, the data processing method includes a filtering method or an algorithm or a model configured with filtering parameters.
A dynamic weighing apparatus configuration system comprising:
an instrument and a processing device;
the instrument acquires weighing data of a preset time length when the dynamic weighing equipment is in no-load;
the instrument or the processing device divides the weighing data into a plurality of groups of weighing data according to a plurality of preset unit times with different lengths;
the processing device respectively obtains weighing result data from each group of weighing data through a plurality of preset data processing methods;
the processing device analyzes and calculates the error data of each weighing result data, and configures the data processing method and the unit time corresponding to the weighing result data with the minimum error data in the weighing result data corresponding to each unit time into the equipment.
Preferably, the processing device allocates the data processing method and the unit time corresponding to the weighing result data with the error data closest to the preset threshold value to the equipment, or allocates the data processing method and the unit time corresponding to the weighing result data with the numerical value closest to the preset threshold value after each error data is substituted into the preset function or model to the equipment.
Preferably, the processing device respectively counts a mean value and/or a variance obtained by calculating the weighing result data as the error data.
Preferably, the processing device sets the data processing method according to parameters of an application environment in which the dynamic weighing equipment is located.
Preferably, the data processing method includes a filtering method or an algorithm or a model configuring filtering parameters.
A storage medium, characterized in that the storage medium comprises a stored program, wherein the program, when executed, controls an apparatus on which the storage medium is located to perform the dynamic weighing apparatus configuration method as described above.
The positive progress effects of the invention are as follows:
the dynamic weighing equipment simulates and calculates the relationship between the lengths of different weighed objects and the weighing processing method by processing the weighing data in a specific time, and further identifies the optimal relationship of the weighing data processing method of the lengths of the weighed objects, thereby realizing the improvement of the weighing performance.
The invention does not need a large amount of test work, and utilizes the weighing data processing in specific time to simulate different application scenes, so that the dynamic weighing equipment can be debugged and configured in time and quickly to achieve better dynamic weighing performance no matter in production and manufacturing, or in debugging and customer sites.
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FIG. 1 is a flow chart of a method of configuring a checkweigher in accordance with one embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
In the configuration method of the dynamic weighing equipment of one embodiment:
firstly, weighing data of the dynamic weighing equipment during no-load is obtained according to a preset time length. That is, when the dynamic weighing device runs in no-load operation, weighing data of a certain time length is recorded.
And then dividing the weighing data into a plurality of groups of weighing data according to a plurality of preset unit times with different lengths. And dividing the weighing data collected for a period of time according to different unit times so as to form weighing data groups corresponding to different unit times.
And then, weighing result data are obtained by respectively processing each group of weighing data by a plurality of preset data processing methods. And carrying out data processing on each weighing data set by using different data processing methods, so that each weighing data set obtains weighing result data according to different data processing methods.
And then analyzing and calculating error data of each weighing result data, and configuring a data processing method corresponding to the weighing result data with the minimum error data in the weighing result data corresponding to each unit time and the unit time into the equipment. In this embodiment, for each weighing result data corresponding to each weighing data group, the weighing result data with the optimal weighing precision is searched, and the data processing method corresponding to the weighing result data and the unit time corresponding to the weighing data group are configured in the device as the data processing method for processing the weighing data with the optimal unit time.
By calculating each unit time, the corresponding optimal data processing method can be found and configured in the equipment. Since the length of the object loaded on the dynamic weighing apparatus is characterized per unit time, the data processing method with the highest weighing data accuracy when objects with different lengths are loaded can be quickly configured on the apparatus by the configuration method of the embodiment.
Moreover, the present embodiment utilizes various data processing methods to process and analyze the weighing data to select the optimal data processing method corresponding to the objects with different lengths. Various data processing methods can be directly applied to the method of the embodiment for data processing, and can also be applied to the embodiment after being configured according to the application environment of the dynamic weighing device, for example, environmental parameters and the like in the application environment are configured to the data processing method.
In the embodiment, under the scene of weighing without the weighed object, the dynamic weighing under the condition of multiple times and multiple unit times is realized in a short time, so that the weighing data can be quickly measured and tested by the equipment under the scene of empty weighing, and then the relation between the weighing time (representing the length of the weighed object) and the weighing precision is analyzed on the basis of statistical data, so that the dynamic weighing equipment is quickly configured, and the weighing performance is improved.
In an embodiment of the configuration system of the checkweigher, the system comprises a data acquisition instrument and a computer, wherein the data acquisition instrument acquires weighing data and sends the weighing data to the computer, the computer records the weighing data for a period of time according to test requirements, analyzes and processes the recorded weighing data, and configures analysis and processing results to dynamic weighing equipment.
The configuration system specifically executes the following steps:
and a data acquisition step S102, acquiring weighing data Tdata [ N ] of the checkweigher during empty scale operation, wherein N is a time discrete index. In this embodiment, the optimal data processing method of the checkweigher for different lengths of weighed objects can be quickly calculated and configured by using the weighing data in the empty scale scene.
And a step S104 of dividing the data group, wherein the instrument adopts different unit weighing time and symmetrical weight data Tdata [ N ] to be divided, and in the embodiment, 6 unit weighing times, namely 50ms, 100ms, 150ms, 200ms, 250ms and 300ms, are used. Thereby forming weighing data sets corresponding to different units of weighing time. Wherein each different unit weighing time is indicative of the length of a different object to be weighed and the number of unit weighing times is selected in accordance with the length of the object likely to be encountered in the actual use of the checkweigher. For example, when the unit weighing time is 50ms, the weighing data is cut into M parts, so that the weighing data set corresponding to the unit weighing time of 50ms is T50M. The weighing data groups corresponding to other 5 unit weighing time are analogized in turn, and are not described again here.
And a weighing data calculation step S106, wherein the computer obtains weighing result data by using different data processing methods for each weighing data group, and in the embodiment, the computer performs data processing by using different filtering methods, wherein in the embodiment, each filtering method configures filtering parameters according to the actual working environment where the checkweigher is located. For example, Q filtering methods F [ Q ] are available, and weighing result data of each weighing data group is obtained. For example, a weighing data set T50[ M ] corresponding to a unit weighing time of 50ms is respectively processed according to each filtering method to obtain weighing result data Tresult50[ Q ], wherein Q identifies different filtering methods. The weighing result data corresponding to other 5 unit weighing time are analogized in turn, and are not described herein again.
And an error analysis step S108, calculating the variance of each weighing result data by using a computer, for example, calculating each weighing result data Tresult50[ Q ] of unit weighing time 50ms to obtain the variance Tvariance50[ Q ] corresponding to the filtering method.
A filtering method and unit weighing time configuring step S110, the computer configures the data processing method and unit time corresponding to the weighing result data closest to the variance of the preset threshold TH into the checkweigher through the meter, for example, compares the variance Tvariance50 a closest to the threshold TH in the variance Tvariance 50Q corresponding to the unit weighing time 50ms, and configures the filtering method F a used by the weighing result data Tresult 50Q corresponding to the Tvariance50 a and the unit weighing time 50ms into the checkweigher. The comparison of the variances corresponding to other 5 unit weighing times and the selection and configuration of the filtering method are analogized in turn, and are not described herein again.
Through the steps, the optimal filtering method for different unit weighing time is the optimal weighing data processing method corresponding to different lengths of the object to be weighed.
In another modification, the data processing method fq and the unit weighing time corresponding to the weighing result data Tresult having the value closest to the preset threshold TH after each variance Tvariance is substituted into the preset function or model are configured in the checkweigher.
After the checkweigher is configured by the configuration system, in actual application, the checkweigher selects a filtering method corresponding to the length of an object from configured filtering methods to process weighing data according to different lengths of the weighed object, so that a weighing result with the lowest error is obtained, and the weighing performance is improved.
As will be apparent from the above description of the configuration method, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary hardware platform, and based on such understanding, the technical solution of the present invention or portions contributing to the prior art can be embodied in the form of a software product, which can be stored in a storage medium, including but not limited to ROM/RAM (read only memory/random access memory), a magnetic disk, an optical disk, etc., and includes several instructions for enabling one or more computer devices (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some portions of the embodiments.
The flow of the measurement, calculation, and configuration of the present invention may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (11)
1. A dynamic weighing equipment configuration method is characterized by comprising the following steps:
acquiring weighing data of the dynamic weighing equipment during no-load according to a preset time length;
dividing the weighing data into a plurality of groups of weighing data according to a plurality of preset unit times with different lengths;
each group of weighing data is respectively processed by a plurality of preset data processing methods to obtain weighing result data;
and analyzing and calculating error data of each weighing result data, and configuring a data processing method corresponding to the weighing result data with the minimum error data in the weighing result data corresponding to each unit time and the unit time into the equipment.
2. The configuration method of claim 1,
and configuring a data processing method and unit time corresponding to weighing result data with error data closest to a preset threshold value into the equipment, or configuring a data processing method and unit time corresponding to weighing result data with numerical values closest to the preset threshold value after each error data is substituted into a preset function or model into the equipment.
3. An arrangement as claimed in claim 1, characterized in that the error data are each calculated statistically as a mean and/or a variance of the weighing result data.
4. The method of claim 1, wherein the data processing method is set according to parameters of an environment in which the dynamic weighing apparatus is used.
5. A configuration method according to any of claims 1-4, characterized in that the data processing method comprises a filtering method or an algorithm or model configured with filtering parameters.
6. A dynamic weighing apparatus configuration system, comprising:
an instrument and a processing device;
the instrument acquires weighing data of a preset time length when the dynamic weighing equipment is in no-load;
the instrument or the processing device divides the weighing data into a plurality of groups of weighing data according to a plurality of preset unit times with different lengths;
the processing device respectively obtains weighing result data from each group of weighing data through a plurality of preset data processing methods;
the processing device analyzes and calculates the error data of each weighing result data, and configures the data processing method and the unit time corresponding to the weighing result data with the minimum error data in the weighing result data corresponding to each unit time into the equipment.
7. The arrangement system according to claim 6, wherein the processing means arranges a data processing method and a unit time corresponding to the weighing result data having the error data closest to the preset threshold value into the apparatus, or arranges a data processing method and a unit time corresponding to the weighing result data having the value closest to the preset threshold value after substituting each error data into the preset function or model into the apparatus.
8. The arrangement as claimed in claim 6, characterized in that the processing means respectively statistically calculate a mean and/or a variance of the weighing result data as the error data.
9. The configuration system of claim 6, wherein the processing means sets the data processing method according to parameters of an application environment in which the dynamic weighing apparatus is used.
10. A configuration system according to any of claims 6-9, characterized in that the data processing method comprises a filtering method or an algorithm or model configuring filtering parameters.
11. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the dynamic weighing apparatus configuration method according to any one of claims 1-5.
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| CN202010360918.2A CN113591261A (en) | 2020-04-30 | 2020-04-30 | Dynamic weighing equipment configuration method and system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100191978A1 (en) * | 2007-03-20 | 2010-07-29 | Bizerba Gmbh & Co. Kg | Method For The Parameterization And Operation Of Weighing Scales |
| JP2014142225A (en) * | 2013-01-23 | 2014-08-07 | Yamato Scale Co Ltd | Rotary weighing apparatus and zero-point fluctuation correction method for rotary weighing apparatus |
| CN105258770A (en) * | 2014-07-18 | 2016-01-20 | 梅特勒-托利多(常州)测量技术有限公司 | Dynamic weighing method and equipment of road vehicle |
| CN106352964A (en) * | 2016-08-24 | 2017-01-25 | 上海芝研检测技术有限公司 | Adaptive dynamic weight system and work process of automatic checkweigher |
-
2020
- 2020-04-30 CN CN202010360918.2A patent/CN113591261A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100191978A1 (en) * | 2007-03-20 | 2010-07-29 | Bizerba Gmbh & Co. Kg | Method For The Parameterization And Operation Of Weighing Scales |
| JP2014142225A (en) * | 2013-01-23 | 2014-08-07 | Yamato Scale Co Ltd | Rotary weighing apparatus and zero-point fluctuation correction method for rotary weighing apparatus |
| CN105258770A (en) * | 2014-07-18 | 2016-01-20 | 梅特勒-托利多(常州)测量技术有限公司 | Dynamic weighing method and equipment of road vehicle |
| CN106352964A (en) * | 2016-08-24 | 2017-01-25 | 上海芝研检测技术有限公司 | Adaptive dynamic weight system and work process of automatic checkweigher |
Non-Patent Citations (1)
| Title |
|---|
| 沈裴裴 等: "车辆动态称重模型建立与分析", 《测控技术》, vol. 34, no. 03, 18 March 2015 (2015-03-18), pages 5 - 8 * |
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