CN108225516A - Article weighing method, device and electronic equipment - Google Patents
Article weighing method, device and electronic equipment Download PDFInfo
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- CN108225516A CN108225516A CN201711478776.4A CN201711478776A CN108225516A CN 108225516 A CN108225516 A CN 108225516A CN 201711478776 A CN201711478776 A CN 201711478776A CN 108225516 A CN108225516 A CN 108225516A
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- Prior art keywords
- weight
- article
- weighed
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/40—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
- G01G19/413—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means
- G01G19/414—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only
- G01G19/4144—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight using electromechanical or electronic computing means using electronic computing means only for controlling weight of goods in commercial establishments, e.g. supermarket, P.O.S. systems
Abstract
The application provides a kind of article weighing method, device and electronic equipment, this method and includes:Obtain the referential weight data of the article to be weighed of weighing sensor acquisition;Determine the dispersion degree of the referential weight data;When the dispersion degree meets condition, the weighing sensor is controlled to acquire the target output weight of the article to be weighed.The technical solution of the application can be by weighing sensor accurately measure object in moving process weight.
Description
Technical field
This application involves a kind of weighing technology field more particularly to article weighing method, device and electronic equipments.
Background technology
Usually all it is the weight for measuring object using title under static scene in existing scheme of weighing, but with
The development for the industry that the needs such as retail business are weighed, demand of the people to measuring weight of object in moving process is more and more prominent,
By taking supermarket as an example, wait in line the shopping mode of checkout for a long time in order to shorten people in cashier, some large supermarkets are pushing away
Pattern is freely extensively purchased, people only need to pay in items scanning code doubling, so that it may it avoids the problem that waiting in line checkout for a long time, but
It is if the article bought needed for people is the article for needing to weigh, weighs there is still a need for carrying out being lined up at the place of weighing, therefore
There is no realize pure self-service free purchase pattern.It follows that industry-by-industry is very prominent to the mobile demand weighed at present, it is
Meets the needs of people measure weight of object in moving process, the application proposes that one kind measures object weight in moving process
The technical solution of amount.
Invention content
In view of this, the application provides a kind of new technical solution, can solve to measure Item Weight in moving process
Technical problem.
To achieve the above object, it is as follows to provide technical solution by the application:
According to the first aspect of the application, it is proposed that a kind of article weighing method, including:
Obtain the referential weight data of the article to be weighed of weighing sensor acquisition;
Determine the dispersion degree of the referential weight data;
When the dispersion degree meets condition, control the target that the weighing sensor acquires the article to be weighed defeated
Go out weight.
According to the second aspect of the application, it is proposed that a kind of article weighing device, including:
First acquisition module, for obtaining the referential weight data of the article to be weighed of weighing sensor acquisition;
First determining module, for determining the dispersion degree of the referential weight data;
Acquisition module is waited to claim for when the dispersion degree meets condition, controlling described in the weighing sensor acquisition
The target output weight of heavy articles.
According to the third aspect of the application, it is proposed that a kind of electronic equipment including memory, processor and is stored in
On reservoir and the computer program that can run on a processor, the processor are realized when performing the computer program as above-mentioned
The described article weighing method of first aspect.
According to the fourth aspect of the application, it is proposed that a kind of computer readable storage medium, the storage medium are stored with
Computer program realizes first aspect described article weighing method when the computer program is executed by processor.
By above technical scheme as it can be seen that the application can acquire referential weight data by weighing sensor, then joining
When examining the dispersion degree of weight data and meeting condition, it may be determined that object mobile comparison is steady, and then can measure and export object
Target exports weight, realizes the weight that object is measured in moving process.
Description of the drawings
Fig. 1 shows the flow diagram of the article weighing method of an exemplary embodiment according to the present invention;
Fig. 2 shows the flow diagrams of article weighing method in accordance with a further exemplary embodiment of the present invention;
Fig. 3 shows the flow diagram of article weighing method in accordance with a further exemplary embodiment of the present invention;
Fig. 4 shows the article weighing device block diagram of an exemplary embodiment according to the present invention;
Fig. 5 shows article weighing device block diagram in accordance with a further exemplary embodiment of the present invention;
Fig. 6 shows the structure diagram of the electronic equipment of an exemplary embodiment according to the present invention.
Specific embodiment
Here exemplary embodiment will be illustrated in detail, example is illustrated in the accompanying drawings.Following description is related to
During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the application.
It is only merely for the purpose of description specific embodiment in term used in this application, and is not intended to be limiting the application.
It is also intended in the application and " one kind " of singulative used in the attached claims, " described " and "the" including majority
Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps
Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from
In the case of the application range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
It, can there are one can be to data with built-in in weighing-appliance other than being provided with weighing sensor in the application
The processor of simple computation (dispersion degree as calculated data) is carried out, so that weighing-appliance can independently execute the application
Article weighing technology scheme;It can be configured with communication module in weighing-appliance, weighing-appliance will be acquired by communication module
Referential weight data what target output weight be transferred to processing equipment, data processing operation is performed (as calculated by processing equipment
The dispersion degree of data) and result of calculation is sent to weighing-appliance.In addition, weighing-appliance can be one can move set
It is standby, such as built-in shopping cart of weighing sensor.
For the application is further described, the following example is provided:
Fig. 1 shows the flow diagram of the article weighing method of an exemplary embodiment according to the present invention;Article claims
Weighing method can be applied to electronic equipment (such as weighing-appliance or in the associated processing equipment of weighing-appliance), as shown in Figure 1,
Article weighing method may include following steps 101~103 in the present embodiment:
Step 101, the referential weight data of the article to be weighed of weighing sensor acquisition are obtained.
In one embodiment, weighing sensor can acquire referential weight data according to setpoint frequency, for example, according to 50Hz
Sample frequency acquisition referential weight data, then can sample within one second 50 data, need measure object weight when, such as
After user places an object into shopping cart, the object to be weighed that weighing sensor acquires in setting time interval (such as 1 second) is obtained
The referential weight data of product.
Step 102, the dispersion degree of referential weight data is determined.
In one embodiment, can dispersion degree be determined based on the variance of referential weight data, for example, referential weight data
Variance be less than or equal to first threshold when, determine that the dispersion degree of referential weight data meets condition, the side of referential weight data
When difference is more than first threshold, determine that the dispersion degree of referential weight data is unsatisfactory for condition.
In another embodiment, can dispersion degree be determined based on the standard deviation of referential weight data, for example, referential weight
When the standard deviation of data is less than or equal to second threshold, determine that the dispersion degree of referential weight data meets condition, referential weight number
According to standard deviation be more than second threshold when, determine that the dispersion degree of referential weight data is unsatisfactory for condition.
It in another embodiment, can be based on the very poor determining dispersion degree of referential weight data, for example, referential weight number
According to it is very poor be less than or equal to third threshold value when, determine that the dispersion degree of referential weight data meets condition, referential weight data
It is very poor be more than third threshold value when, determine that the dispersion degree of referential weight data is unsatisfactory for condition.
In another embodiment, can the variance based on referential weight data, standard deviation, it is very poor in any two data
Dispersion degree is determined, for example, the very poor of referential weight data is less than or equal to first threshold less than or equal to third threshold value and variance
When, it determines that the dispersion degree of referential weight data meets condition, otherwise determines that the dispersion degree of referential weight data is unsatisfactory for item
Part.
In another embodiment, the variance, standard deviation, very poor three that are also based on referential weight data determine discrete journey
Degree is less than or equal to second threshold less than or equal to first threshold, standard deviation, is very poor less than or equal to third for example, meeting variance simultaneously
During the situation of threshold value, it just can be confirmed that dispersion degree meets condition, otherwise illustrate that dispersion degree is unsatisfactory for condition.
Step 103, when dispersion degree meets condition, control weighing sensor acquires the target output weight of article to be weighed
Amount.
In one embodiment, weighing sensor can acquire a target output weight, and this target is exported weight
Amount is determined as the final weight of article to be weighed;In one embodiment, weighing sensor can be used and acquisition referential weight data
Identical (either different) sample frequency acquire one group or multigroup target output weight, and target output weight is carried out
Subsequent processing, and then the final weight of object is obtained, Fig. 2 and embodiment illustrated in fig. 3 are for details, reference can be made to, is not described in detail first here.
Seen from the above description, the embodiment of the present invention can be acquired by above-mentioned steps 101- steps 103 with reference to weight first
Data are measured, then when the dispersion degree of referential weight data meets condition, can measure and export the target output weight of object,
The weight that object is measured in moving process is realized, and since weighing-appliance does not need to additional hardware supported, is such as not required to
Gyroscope, acceleration transducer etc. are wanted to determine whether weighing-appliance is stablized, therefore at low cost, replicability is strong.
Fig. 2 is according to another flow chart of article weighing method for implementing to exemplify of the application, in the base of above-described embodiment
On plinth, the present embodiment is obtained and is shown for the final weight of article to be weighed to acquire at least one set of target output weight
Example property explanation, as shown in Figure 2, it may include following steps:
Step 201, control weighing sensor acquires the referential weight data of article to be weighed according to setpoint frequency.
Step 202, the referential weight data of the article to be weighed of weighing sensor acquisition are obtained.
Step 203, the dispersion degree of referential weight data is determined.
In one embodiment, step 202 to step 203 description, reference can be made to the step 101-102 of embodiment illustrated in fig. 1
Description, here first be not described in detail.
Step 204, it determines whether dispersion degree meets condition, and when dispersion degree meets condition, performs step 205,
When dispersion degree is unsatisfactory for condition, step 201 is performed.
Step 205, control weighing sensor acquires at least one set of target output weight of article to be weighed.
In one embodiment, when determining that dispersion degree meets condition, weighing sensor acquisition can be controlled at least one set of in real time
Target exports weight, such as acquires 10 data according to setpoint frequency, the number of target output weight that weighing sensor is acquired
Can be voluntarily configured by weighing-appliance provider in default setting item or by user by the control panel of weighing-appliance or
Person controls menu setting.If control panel is provided on weighing-appliance or control menu, each user are using this
Before weighing-appliance, corresponding parameter of weighing can be set.
Step 206, the average value of all target output weight is calculated, alternatively, calculating in all target output weight except most
The average value of other data except big data and minimum data.
Step 207, average value is determined as to the final weight of article to be weighed.
In the present embodiment, the average value of weight is exported, and average value is determined as waiting to claim by calculating at least one set of target
The final weight of heavy articles can improve the accuracy of the weight of article to be weighed.
Fig. 3 is according to another flow chart of article weighing method for implementing to exemplify of the application, in the base of above-described embodiment
On plinth, the present embodiment is carried out exemplary for obtaining multigroup target output weight of article to be weighed and then obtaining final weight
Illustrate, as shown in Figure 3, it may include following steps:
Step 301, control weighing sensor acquires the referential weight data of article to be weighed according to setpoint frequency.
Step 302, the referential weight data of the article to be weighed of weighing sensor acquisition are obtained.
Step 303, the dispersion degree of referential weight data is determined.
In one embodiment, step 302 to step 303 description, reference can be made to the step 101-102 of embodiment illustrated in fig. 1
Description, here first be not described in detail.
Step 304, it determines whether dispersion degree meets condition, and when dispersion degree meets condition, performs step 305,
When dispersion degree is unsatisfactory for condition, step 301 is performed.
Step 305, control weighing sensor acquires multigroup target output weight of article to be weighed.
In one embodiment, when determining that dispersion degree meets condition, weighing sensor can be controlled to acquire multigroup target in real time
Weight is exported, every group of target output weight includes the target output weight of setting number, such as acquires 5 groups of targets according to setpoint frequency
Weight is exported, every group includes 10 data, what the group number of target that weighing sensor is acquired output weight and every group included
The number of data can be voluntarily configured by weighing-appliance or be set by user by the control panel of weighing-appliance.If claim
Control panel or control menu are provided in heavy equipment, then each user can set phase before the weighing-appliance is used
The parameter of weighing answered.
Step 306, one group of target output weight of dispersion degree minimum in multigroup target output weight is determined.
In one embodiment, the dispersion degree of each group of target output weight again may be by calculating variance, standard deviation,
Very poor grade determines.
Step 307, the average value of one group of target output weight of dispersion degree minimum is calculated.
In one embodiment, all data in one group of target output weight of dispersion degree value minimum can be calculated to be averaged
Value, alternatively, the one group of target that can also calculate dispersion degree value minimum is exported in weight in addition to maximum data and minimum data
Other data average value.
Step 308, average value is determined as to the final weight of article to be weighed.
In the present embodiment, weight is exported, and the discrete journey of weight is exported by each group of target by acquiring multigroup target
Degree, it may be determined that go out one group of optimal data, and then the average value of this group of data is determined as to the final weight of article to be weighed, it can
To further improve the accuracy of the weight of article to be weighed.
Fig. 4 shows the article weighing device block diagram of an exemplary embodiment according to the present invention, as shown in figure 4, article
Weighing device includes:
First acquisition module 41, for obtaining the referential weight data of the article to be weighed of weighing sensor acquisition;
First determining module 42, for determining the dispersion degree of referential weight data;
Acquisition module 43, for when dispersion degree meets condition, control weighing sensor to acquire the mesh of article to be weighed
Mark output weight.
Fig. 5 shows article weighing device block diagram in accordance with a further exemplary embodiment of the present invention, as shown in figure 5,
On the basis of above-mentioned embodiment illustrated in fig. 4, in one embodiment, acquisition module 43, specifically for control weighing sensor acquisition
One target exports weight;
Device further includes:
Second determining module 44, for a target output weight to be determined as to the final weight of article to be weighed.
In one embodiment, acquisition module 43, specifically for at least one set of target output weight of control weighing sensor acquisition
Amount;
Device further includes:
Computing module 45, for calculating the average value of one group of target output weight, alternatively, calculating one group of target output weight
In other data in addition to maximum data and minimum data average value
Second determining module 44, for a target output weight to be determined as to the final weight of article to be weighed.
In one embodiment, acquisition module 43 acquire multigroup target specifically for control weighing sensor and export weight;
Device further includes:
Computing module 45, one group of target for determining dispersion degree value minimum in multigroup target output weight export weight
Amount calculates the average value of one group of target output weight of dispersion degree value minimum.
Second determining module 44, for a target output weight to be determined as to the final weight of article to be weighed.
In one embodiment, the first determining module 42, for being based on the referential weight data variance and/or the ginseng
Examine weight data standard deviation and/or the very poor determining dispersion degree of the referential weight data
In one embodiment, acquisition module 43 are additionally operable to control weighing sensor and acquire object to be weighed according to setpoint frequency
The referential weight data of product.
For device embodiment, since it corresponds essentially to embodiment of the method, so related part is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein illustrating as separating component
Unit may or may not be physically separate, the component shown as unit may or may not be
Physical unit, you can be located at a place or can also be distributed in multiple network element.It can be according to the actual needs
Some or all of module therein is selected to realize the purpose of application scheme.Those of ordinary skill in the art are not paying wound
In the case that the property made is worked, you can to understand and implement.
Corresponding to above-mentioned article weighing method, it is exemplary that the application also proposed shown in fig. 6 according to the present invention one
The schematic configuration diagram of the electronic equipment of embodiment.Fig. 6 is please referred to, in hardware view, which includes processor, inside always
Line, network interface, memory and nonvolatile memory are also possible that the required hardware of other business certainly.Processor
It reads in corresponding computer program to memory and then runs from nonvolatile memory, article is formed on logic level and is claimed
Refitting is put.Certainly, other than software realization mode, the application is not precluded other realization methods, for example, logical device or
Mode of software and hardware combining etc., that is to say, that the executive agent of following process flow is not limited to each logic unit,
Can be hardware or logical device.
In the exemplary embodiment, it additionally provides a kind of including instruction computer readable storage medium.For example, computer can
It can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc. to read storage medium.
A kind of computer readable storage medium, when the instruction in the storage medium is performed by the processor of device so that
Device is able to carry out the article weighing method of above-mentioned first aspect.
Those skilled in the art will readily occur to the application its after considering specification and putting into practice invention disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.Description and embodiments are considered only as illustratively, and the true scope and spirit of the application are by following
Claim is pointed out.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, commodity or equipment including a series of elements are not only including those elements, but also wrap
Include other elements that are not explicitly listed or further include for this process, method, commodity or equipment it is intrinsic will
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including element
Also there are other identical elements in process, method, commodity or equipment.
These are only the preferred embodiment of the application, not to limit the application, it is all in spirit herein and
Within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of the application protection.
Claims (10)
1. a kind of article weighing method, which is characterized in that the method includes:
Obtain the referential weight data of the article to be weighed of weighing sensor acquisition;
Determine the dispersion degree of the referential weight data;
When the dispersion degree meets condition, the weighing sensor is controlled to acquire the target output weight of the article to be weighed
Amount.
2. according to the method described in claim 1, it is characterized in that, the control weighing sensor acquisition is described to be weighed
The target output weight of article, including:
The weighing sensor is controlled to acquire a target output weight;
The method further includes:
One target output weight is determined as to the final weight of the article to be weighed.
3. according to the method described in claim 1, it is characterized in that, the control weighing sensor acquisition is described to be weighed
The target output weight of article, including:
Control at least one set of target output weight of the weighing sensor acquisition;
The method further includes:
The average value of the target output weight is calculated, alternatively, calculating in the target output weight except maximum data and minimum
The average value of other data except data;
The average value is determined as to the final weight of the article to be weighed.
4. according to the method described in claim 1, it is characterized in that, the control weighing sensor acquisition is described to be weighed
The target output weight of article, including:
The weighing sensor is controlled to acquire multigroup target output weight;
The method further includes:
Determine one group of target output weight of dispersion degree minimum in multigroup target output weight;
Calculate the average value of one group of target output weight of the dispersion degree minimum;
The average value is determined as to the final weight of the article to be weighed.
5. according to any methods of claim 1-4, which is characterized in that described to determine the discrete of the referential weight data
Degree, including:
The standard deviation of variance and/or the referential weight data based on the referential weight data and/or the reference weight
It measures the very poor of data and determines the dispersion degree.
6. according to any methods of claim 1-4, which is characterized in that the method further includes:
When the dispersion degree is unsatisfactory for condition, the ginseng for performing the article to be weighed for obtaining weighing sensor acquisition is returned
Examine the operation of weight data.
7. according to any methods of claim 1-4, which is characterized in that described to obtain the to be weighed of weighing sensor acquisition
Before the referential weight data of article, further include:
The weighing sensor is controlled to acquire the referential weight data of article to be weighed according to setpoint frequency.
8. a kind of article weighing device, which is characterized in that described device includes:
First acquisition module, for obtaining the referential weight data of the article to be weighed of weighing sensor acquisition;
First determining module, for determining the dispersion degree of the referential weight data;
Acquisition module, for the weighing sensor when the dispersion degree meets condition, to be controlled to acquire the object to be weighed
The target output weight of product.
9. a kind of electronic equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor is realized when performing the computer program such as any institutes of the claims 1-7
The article weighing method stated.
10. a kind of computer readable storage medium, which is characterized in that the storage medium is stored with computer program, the meter
The step of the claims 1-7 any described article weighing method is realized when calculation machine program is executed by processor.
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CN201711478776.4A CN108225516A (en) | 2017-12-29 | 2017-12-29 | Article weighing method, device and electronic equipment |
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CN201711478776.4A CN108225516A (en) | 2017-12-29 | 2017-12-29 | Article weighing method, device and electronic equipment |
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Cited By (5)
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CN109556687A (en) * | 2018-12-20 | 2019-04-02 | 帷幄匠心科技(杭州)有限公司 | Weight measurements, device, equipment and computer readable storage medium |
CN109916480A (en) * | 2019-01-16 | 2019-06-21 | 创新奇智(南京)科技有限公司 | A kind of weight estimation method, system and its electronic device |
CN109935022A (en) * | 2019-04-02 | 2019-06-25 | 大连华信数据技术有限公司 | Integrate automatic identification, the intelligent weighing system of mobile payment |
CN111238624A (en) * | 2020-02-21 | 2020-06-05 | 尤洛卡(广东)精准信息工程技术研究院有限公司 | Object weight measuring method, weighing device and readable storage medium |
CN112818287A (en) * | 2021-01-29 | 2021-05-18 | 三一海洋重工有限公司 | Weighing method and system of material grabbing machine, storage medium and electronic equipment |
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CN109556687A (en) * | 2018-12-20 | 2019-04-02 | 帷幄匠心科技(杭州)有限公司 | Weight measurements, device, equipment and computer readable storage medium |
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CN111238624A (en) * | 2020-02-21 | 2020-06-05 | 尤洛卡(广东)精准信息工程技术研究院有限公司 | Object weight measuring method, weighing device and readable storage medium |
CN112818287A (en) * | 2021-01-29 | 2021-05-18 | 三一海洋重工有限公司 | Weighing method and system of material grabbing machine, storage medium and electronic equipment |
CN112818287B (en) * | 2021-01-29 | 2024-04-09 | 三一海洋重工有限公司 | Weighing method and system of grabbing machine, storage medium and electronic equipment |
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