CN109932715A - Grain storing barrel, grain detection method, device and storage medium - Google Patents
Grain storing barrel, grain detection method, device and storage medium Download PDFInfo
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- CN109932715A CN109932715A CN201910119273.0A CN201910119273A CN109932715A CN 109932715 A CN109932715 A CN 109932715A CN 201910119273 A CN201910119273 A CN 201910119273A CN 109932715 A CN109932715 A CN 109932715A
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Abstract
This application discloses grain storing barrel, grain detection method, device and storage mediums, are related to technical field of intelligent equipment.The grain storing barrel, including grain storing barrel ontology, processor, rice grain detection unit, rice flow vector prompt unit, in which: the rice grain detection unit, for obtaining the 3-D image of grain in grain storing barrel；The processor, for determining remaining grain amount according to the 3-D image of the grain；The rice flow vector prompt unit, for exporting remaining grain amount according to the control of the processor.By the available state to rice grain inside grain storing barrel of rice grain detection unit, remaining grain amount then can be determined by analysis processing, and then remaining grain amount can be exported in order to which grain is replenished in time in user.
Description
Technical field
This application involves field of artificial intelligence more particularly to grain storing barrel, grain detection method, device and storage to be situated between
Matter.
Background technique
Grain storing barrel is for storing grain.Average family, hotel or restaurant can all adopt mostly for the ease of storing rice
With rice bucket.However, present grain storing barrel has a single function, require further improvement.
Summary of the invention
The embodiment of the present application provides a kind of grain storing barrel, grain detection method, device and storage medium, for solving existing skill
The problem of grain storing barrel has a single function in art.
In a first aspect, the embodiment of the present application provides a kind of grain storing barrel, including grain storing barrel ontology, it further include processor, meter Liang
Detection unit, rice flow vector prompt unit, in which:
The rice grain detection unit, for obtaining the 3-D image of grain in grain storing barrel；
The processor, for determining remaining grain amount according to the 3-D image of the grain；
The rice flow vector prompt unit, for exporting remaining grain amount.
Second aspect, the application also provide a kind of grain detection method, which comprises
Obtain the 3-D image of grain in grain storing barrel；
Remaining grain amount is determined according to the 3-D image of the grain；
Export remaining grain amount.
The third aspect, the application also provide a kind of computing device, including at least one processor；And with described at least one
The memory of a processor communication connection；Wherein, the memory is stored with the finger that can be executed by least one described processor
It enables, described instruction is executed by least one described processor, so that at least one described processor is able to carry out the application implementation
Any grain detection method that example provides.
Fourth aspect, present invention also provides a kind of computer storage mediums, wherein the computer storage medium storage
There are computer executable instructions, the computer executable instructions are for making computer execute any grain in the embodiment of the present application
Eat detection method.
The application provides grain storing barrel, grain detection method, device and storage medium.It is available by rice grain detection unit
Then the state of rice grain inside to grain storing barrel can determine remaining grain amount by analysis processing, and then can export remaining grain
Grain is replenished in time in order to user in appetite.
Other features and advantage will illustrate in the following description, also, partly become from specification
It obtains it is clear that being understood and implementing the application.The purpose of the application and other advantages can be by written explanations
Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1 is one of the structural schematic diagram of grain storing barrel in the embodiment of the present application；
Fig. 2 is the structural schematic diagram of the neural network in the embodiment of the present application；
Fig. 3 is the second structural representation of the grain storing barrel in the embodiment of the present application；
Fig. 4 is the flow diagram of the grain detection method in the embodiment of the present application；
Fig. 5 is the schematic diagram of the set interface in the embodiment of the present application；
Fig. 6 is the application scenarios schematic diagram of the grain detection method in the embodiment of the present application；
Fig. 7 is the grain detection device schematic diagram in the embodiment of the present application；
Fig. 8 is the structural schematic diagram according to the computing device of the application embodiment.
Specific embodiment
In order to extend the function of grain storing barrel, grain storing barrel is made to can satisfy the demand of Informatization Development, in the embodiment of the present application
A kind of grain detection method, device and storage medium are provided.
In real life, people tend not to deliberately go to pay close attention to remaining grain amount.By taking rice bucket as an example, this be frequently can lead to
When cooking, just find to lead to not cook very little without rice or rice amount in rice bucket.Such case is in rice usage amount ratio
Biggish dining room, restaurant, dining room etc., even more occur often.Traditional rice bucket can not often detect the more of internal rice amount automatically
It is few, it is even more impossible on rice bucket by how much informing users of rice amount.In view of this, the embodiment of the present application provide one kind can be automatic
Remaining grain amount is detected, and remaining grain amount is notified, in order to user's timely learning residue grain amount, user to be allowed to mention to user
Before carry out purchase prepare.
As shown in Figure 1, being the structural schematic diagram of grain storing barrel provided by the embodiments of the present application, including grain storing barrel ontology 101, place
Manage device 102, rice grain detection unit 103, rice flow vector prompt unit 104, in which:
The rice grain detection unit 103, for obtaining the 3-D image of grain in grain storing barrel；
The processor 102, for determining remaining grain amount according to the 3-D image of the grain；
The rice flow vector prompt unit 104, for exporting remaining grain amount.
Wherein, rice flow vector prompt unit can be display, audio output device, can also be instruction lamp.
By the available state to rice grain inside grain storing barrel of rice grain detection unit in the present embodiment, then pass through analysis
Processing can determine remaining grain amount, and then can export remaining grain amount in order to which grain is replenished in time in user.
In one embodiment, rice grain detection unit can be range sensor, and be built in the top of grain storing barrel.In this way
Distance by detecting rice grain upper surface is assured that a meter flow vector.Such as if distance is remote, then illustrate grain upper surface separation
It is remote from sensor, illustrate that meter grain is few, if range sensor is close, illustrates that meter grain is more.
Further in order to the more accurate remaining rice flow vector that determines, the rice grain detection unit is microwave radar,
It or is depth camera.When it is implemented, can determine the stacking of upper layer grain according to the 3-D image of grain in grain storing barrel
The shape in gap, grain grain between flatness, grain grain, the average distance etc. of grain storing barrel bottom to upper layer grain.It is specific real
Shi Shi can determine that the application does not limit this according to actual needs.
When it is implemented, the processor, it can be according to the 3-D image and preparatory trained neural network mould of grain
Type determines remaining grain amount.3-D image can be sent to the Cloud Server connecting with grain storing barrel by processor, by Cloud Server
According to 3-D image determine gap between the stacking flatness of upper layer grain, grain grain, grain grain shape etc. as nerve
Then the input of network model determines remaining grain amount by neural network and returns to the processor of grain storing barrel.Certainly, neural
Network model can also be built in the processor of grain storing barrel, when it is implemented, neural network can be determined according to actual needs
Model is built in the processor of Cloud Server or grain storing barrel, and the application does not limit this.
For ease of understanding, the method for determining rice grain surplus to neural network model here is described further.
Assuming that the relevant calculation formula of remaining grain amount are as follows:
Gap × W1+ between f (x)=grain grain stacks flatness × W2+ grain grain shape × W3
Wherein, W1, W2, W3 are three parameters, they can be Multidimensional numerical.It is obtained by training neural network.For example,
The reserves bucket inner case in the case of different remaining grain amounts is scanned using microwave radar, by the grain grain of the result scanned every time
Between gap, stack flatness, the shape of grain grain with residue grain amount be mapped.Again specifically, using standard volume in advance
Having measured grain amount is 10 liters, and gap=10 between grain grain are obtained in corresponding microwave radar scanning result, are stacked
Flatness=0.9, grain grain shape=3.8 length-width ratio of grain grain (utilize indicate).It corresponds to get up to obtain one in this way
A sample, carries out 100,000 sample, and certain particular number can determine according to actual needs.The sample that will have been marked above, puts
Enter in neural network model, constantly adjustment these three parameters of W1, W2, W3, so that after the accuracy rate of identification reaches requirement, final
To the parameter value of these three.In this way, just there is this function of f (x).As shown in Fig. 2, if neural network model have input layer,
When hidden layer and output layer, W1, W2, W3 can be the parameter of input layer, then f (x) is the data for inputing to hidden layer, certainly,
When it is implemented, W1, W2, W3 may be the adjustment parameter of entire neural network model, then f (x) is that the grain of output is remaining
Amount.
Wherein, neural network is such as the similar nerve of CNN convolutional neural networks, DNN deep neural network etc. principle
Network.
Further, the grain storing barrel further includes display screen 105 as shown in Figure 3；
The display screen 105 is used for output parameter set interface；
The parameter setting interface includes for configuring the configuration item whether alerted；
The rice flow vector prompt unit is also used to determining that remaining grain amount is lower than alarm grain amount and determination needs to carry out
When alarm, export for indicating the insufficient warning information of rice grain.
In this way, user can be allowed to be arranged according to the demand of itself by display parameter of display screen set interface, so that alarm
The prompt of information is more accurate.
Further, warning information is received in time for the ease of user, the rice flow vector prompt unit is audio output device；
It further include the parameter for volume to be arranged in the parameter setting interface；The volume of the audio output device output is parameter setting
The volume being arranged in interface.Also can when apart from grain storing barrel certain distance in this way, can be convenient user by way of audio
Learn grain surplus or warning information.
Further, the processor is also used to eat grain according to the remaining grain amount and preset single per capita
Amount estimates that the remaining grain amount is edible for how many people；And it controls the rice flow vector prompt unit and is also used to according to estimation
Number output.In this way, can determine whether remaining grain amount is sufficient according to the number of edible grain convenient for user.
Further, as shown in figure 3, grain storing barrel can also include that bung 106 and bung open and close detector 107.It is described
Processor is also used to controlling the rice flow vector prompt unit output for determining institute before indicating the insufficient warning information of rice grain
It is in the open state to state bung.In this way, bung opening represents someone close to grain storing barrel when short-commons, can continuously broadcast
Warning information can stop broadcasting warning information when bung is closed.
Based on identical inventive concept, the embodiment of the present application also provides a kind of grain detection method, as shown in figure 4, for should
The flow diagram of method, comprising:
Step 401: obtaining the 3-D image of grain in grain storing barrel.
Step 402: remaining grain amount is determined according to the 3-D image of the grain.
Step 403: exporting remaining grain amount.
Further, described that remaining grain amount is determined according to the 3-D image of the grain, it can be embodied as according to grain
The 3-D image of food and in advance trained neural network model determine remaining grain amount.Specifically embodiment is above
Illustrate, which is not described herein again.
Further, it includes being for configuring that the parameter setting interface parameter setting interface is also provided in the embodiment of the present application
The no configuration item alerted.The schematic diagram at the interface can be as shown in Figure 5.After showing output parameter set interface, Ke Yigen
The alarm grain amount and whether alert that operation storage user according to user at the interface inputs in the parameter setting interface
Setting information；Then remaining grain amount is being determined lower than alarm grain amount and is determining that output is used for table when being alerted
Show the insufficient warning information of meter grain.
Certainly, warning information can be shown, can also be exported in a manner of audio.When being exported with audible, such as Fig. 5 institute
Show, further includes the parameter for volume to be arranged in the parameter setting interface；It can be set according to parameter in outputting alarm information
The volume being arranged in interface is set, is exported for indicating the insufficient warning information of rice grain.
It further, can also be edible according to the remaining grain amount and preset single per capita in the embodiment of the present application
Grain amount estimates that the remaining grain amount is edible for how many people；Then it is exported according to the number of estimation.In this way, can be in order to
User intuitively determines whether grain surplus is sufficient according to edible number.
Certainly, it in order to select suitably actually to be alerted, avoids warning information from influencing user, exports for indicating rice grain
Before insufficient warning information, can also determine whether the grain storing barrel bung for holding grain is in the open state.When being in
When open state, show to have that user is close, ability outputting alarm information, otherwise not outputting alarm information.
As shown in fig. 6, being the application scenarios schematic diagram of grain detection method provided by the embodiments of the present application, the application scenarios
In include user 10, grain storing barrel 11, cloud server 12.Grain storing barrel obtains the 3-D image inside grain storing barrel by microwave radar
Afterwards, it is sent to cloud server 12,3-D image is carried out according to preparatory trained neural network model by cloud server
Processing, is sent to grain storing barrel after obtaining meter grain surplus, is then exported by grain storing barrel.User 10 can pass through display screen setting
Remaining grain amount starts to alarm less than how many when, and the setting button for setting can be the void that physical button is also possible to display
Quasi- key.When user opens grain storing barrel, by uncapping, detection detection bung is in the open state, then it represents that has user to open storage
Grain bucket, then can the alarm when meeting alarm conditions then terminate to alarm when detecting that bung is in close state.
Based on identical inventive concept, in the embodiment of the present application, a kind of grain detection device is also provided, as shown in fig. 7, should
Device includes:
Acquiring three-dimensional images module 701, for obtaining the 3-D image of grain in grain storing barrel；
Remaining grain amount determining module 702, for determining remaining grain amount according to the 3-D image of the grain；
Output module 703, for exporting remaining grain amount.
Further, the remaining grain amount determining module, specifically for being trained according to the 3-D image of grain with preparatory
Good neural network model determines remaining grain amount.
Further, described device further include:
Set interface display module, for showing output parameter set interface；The parameter setting interface includes for matching
Set the configuration item whether alerted；
Whether memory module, the alarm grain amount inputted in the parameter setting interface for storing user and alert
Setting information；
The output module is also used to when determining that remaining grain amount is alerted lower than alarm grain amount and determining,
Output is for indicating the insufficient warning information of rice grain.
Further, in the parameter setting interface further include parameter for volume to be arranged；
The output module is specifically used for according to the volume being arranged in parameter setting interface, and output is for indicating that rice grain is insufficient
Warning information.
Further, described device further include:
Estimation block, for estimating described surplus according to the remaining grain amount and the preset food grain appetite of single per capita
Surplus grain appetite is edible for how many people；
The output module is also used to be exported according to the number of estimation.
Further, output is for before indicating the insufficient warning information of rice grain, described device further include:
Open state determining module, the grain storing barrel bung for holding grain described in determination are in the open state.
In the grain detection method for describing the application illustrative embodiments, after device, next, introducing according to this
The computing device of the another exemplary embodiment of application.
Person of ordinary skill in the field it is understood that the various aspects of the application can be implemented as system, method or
Program product.Therefore, the various aspects of the application can be with specific implementation is as follows, it may be assumed that complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as circuit, " module " or " system ".
In some possible embodiments, at least one processing can be included at least according to the computing device of the application
Device and at least one processor.Wherein, memory is stored with program code, when program code is executed by processor, so that
Processor executes the step in the grain detection method according to the various illustrative embodiments of the application of this specification foregoing description
Suddenly.For example, processor can execute step 401-403 as shown in Figure 4.
The computing device 130 of this embodiment according to the application is described referring to Fig. 8.The calculating that Fig. 8 is shown
Device 130 is only an example, should not function to the embodiment of the present application and use scope bring any restrictions.
As shown in figure 8, computing device 130 is showed in the form of general-purpose calculating appts.The component of computing device 130 can wrap
Include but be not limited to: at least one above-mentioned processor 131, above-mentioned at least one processor 132, the different system components of connection (including
Memory 132 and processor 131) bus 133.
Bus 133 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, processor or the local bus using any bus structures in a variety of bus structures.
Memory 132 may include the readable medium of form of volatile memory, such as random access memory (RAM)
1321 and/or cache memory 1322, it can further include read-only memory (ROM) 1323.
Memory 132 can also include program/utility 1325 with one group of (at least one) program module 1324,
Such program module 1324 includes but is not limited to: operating system, one or more application program, other program modules and
It may include the realization of network environment in program data, each of these examples or certain combination.
Computing device 130 can also be communicated with one or more external equipments 134 (such as keyboard, sensing equipment etc.), also
Can be enabled a user to one or more equipment interacted with computing device 130 communication, and/or with make the computing device
The 130 any equipment (such as router, modem etc.) that can be communicated with one or more of the other computing device are led to
Letter.This communication can be carried out by input/output (I/O) interface 135.Also, computing device 130 can also be suitable by network
Orchestration 136 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, such as because of spy
Net) communication.As shown, network adapter 136 is communicated by bus 133 with other modules for computing device 130.It should
Understand, although not shown in the drawings, other hardware and/or software module can be used in conjunction with computing device 130, including but unlimited
In: microcode, device driver, redundant processor, external disk drive array, RAID system, tape drive and data
Backup storage system etc..
In some possible embodiments, the various aspects of grain detection method provided by the present application are also implemented as
A kind of form of program product comprising program code, when program product is run on a computing device, program code is used for
Computer equipment is set to execute the grain detection method according to the various illustrative embodiments of the application of this specification foregoing description
In step, for example, computer equipment can execute step 401-403 as shown in Figure 4.
Program product can be using any combination of one or more readable mediums.Readable medium can be readable signal Jie
Matter or readable storage medium storing program for executing.Readable storage medium storing program for executing for example may be-but not limited to-electricity, magnetic, optical, electromagnetic, infrared
The system of line or semiconductor, device or device, or any above combination.The more specific example of readable storage medium storing program for executing is (non-
The list of exhaustion) include: electrical connection with one or more conducting wires, portable disc, hard disk, random access memory (RAM),
Read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, the read-only storage of portable compact disc
Device (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The program product for grain detection of presently filed embodiment can use the read-only storage of portable compact disc
Device (CD-ROM) and including program code, and can run on the computing device.However, the program product of the application is not limited to
This, in this document, readable storage medium storing program for executing can be any tangible medium for including or store program, which can be commanded
Execution system, device or device use or in connection.
Readable signal medium may include in a base band or as the data-signal that carrier wave a part is propagated, wherein carrying
Readable program code.The data-signal of this propagation can take various forms, including --- but being not limited to --- electromagnetism letter
Number, optical signal or above-mentioned any appropriate combination.Readable signal medium can also be other than readable storage medium storing program for executing it is any can
Read medium, the readable medium can send, propagate or transmit for by instruction execution system, device or device use or
Program in connection.
The program code for including on readable medium can transmit with any suitable medium, including --- but being not limited to ---
Wirelessly, wired, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with any combination of one or more programming languages come write for execute the application operation program
Code, programming language include object oriented program language-Java, C++ etc., further include conventional process
Formula programming language-such as " C " language or similar programming language.Program code can be calculated fully in user
It executes on device, partly execute on a user device, executing, as an independent software package partially in user's computing device
Upper part executes on remote computing device or executes on remote computing device or server completely.It is being related to remotely counting
In the situation for calculating device, remote computing device can pass through the network of any kind --- including local area network (LAN) or wide area network
(WAN)-it is connected to user's computing device, or, it may be connected to external computing device (such as provided using Internet service
Quotient is connected by internet).
It should be noted that although being referred to several unit or sub-units of device in the above detailed description, this stroke
It point is only exemplary not enforceable.In fact, according to presently filed embodiment, it is above-described two or more
The feature and function of unit can embody in a unit.Conversely, the feature and function of an above-described unit can
It is to be embodied by multiple units with further division.
In addition, although describing the operation of the application method in the accompanying drawings with particular order, this do not require that or
Hint must execute these operations in this particular order, or have to carry out shown in whole operation be just able to achieve it is desired
As a result.Additionally or alternatively, it is convenient to omit multiple steps are merged into a step and executed by certain steps, and/or by one
Step is decomposed into execution of multiple steps.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although the preferred embodiment of the application has been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications can be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the application range.
Obviously, those skilled in the art can carry out various modification and variations without departing from the essence of the application to the application
Mind and range.In this way, if these modifications and variations of the application belong to the range of the claim of this application and its equivalent technologies
Within, then the application is also intended to include these modifications and variations.
Claims (16)
1. a kind of grain storing barrel, including grain storing barrel ontology, which is characterized in that further include processor, rice grain detection unit, rice flow vector mention
Show unit, in which:
The rice grain detection unit, for obtaining the 3-D image of grain in grain storing barrel；
The processor, for determining remaining grain amount according to the 3-D image of the grain；
The rice flow vector prompt unit, for exporting remaining grain amount.
2. grain storing barrel according to claim 1, which is characterized in that the rice grain detection unit is microwave radar, Huo Zhewei
Depth camera.
3. grain storing barrel according to claim 2, which is characterized in that the processor, specifically for the three-dimensional according to grain
Image and in advance trained neural network model determine remaining grain amount.
4. grain storing barrel according to claim 1, which is characterized in that the grain storing barrel further includes display screen；
The display screen is used for output parameter set interface；Whether the parameter setting interface includes being alerted for configuring
Configuration item；
The rice flow vector prompt unit is also used to determining that remaining grain amount is lower than alarm grain amount and determination is alerted
When, it exports for indicating the insufficient warning information of rice grain.
5. grain storing barrel according to claim 4, which is characterized in that the rice flow vector prompt unit is audio output device；
It further include the parameter for volume to be arranged in the parameter setting interface；
The volume of the audio output device output is the volume being arranged in parameter setting interface.
6. grain storing barrel according to claim 1, which is characterized in that the processor is also used to according to the remaining grain amount
With the preset food grain appetite of single per capita, estimate that the remaining grain amount is edible for how many people；
The rice flow vector prompt unit is also used to be exported according to the number of estimation.
7. grain storing barrel according to claim 1 or 4, which is characterized in that further include bung and bung folding detector.
8. grain storing barrel according to claim 6, which is characterized in that the processor is also used to prompt in the rice flow vector single
Member output is for determining that the bung is in the open state before indicating the insufficient warning information of rice grain.
9. a kind of grain detection method, which is characterized in that the described method includes:
Obtain the 3-D image of grain in grain storing barrel；
Remaining grain amount is determined according to the 3-D image of the grain；
Export remaining grain amount.
10. according to the method described in claim 9, it is characterized in that, described determine residue according to the 3-D image of the grain
Grain amount, specifically includes:
Remaining grain amount is determined according to the 3-D image of grain and in advance trained neural network model.
11. according to the method described in claim 9, it is characterized in that, the method also includes:
Show output parameter set interface；The parameter setting interface includes for configuring the configuration item whether alerted；
The alarm grain amount that storage user inputs in the parameter setting interface and the setting information whether alerted；
Lower than alarm grain amount and determine that output is for indicating that rice grain is insufficient when being alerted in determining remaining grain amount
Warning information.
12. according to the method for claim 11, which is characterized in that
It further include the parameter for volume to be arranged in the parameter setting interface；
Output is specifically included for indicating the insufficient warning information of rice grain:
According to the volume being arranged in parameter setting interface, export for indicating the insufficient warning information of rice grain.
13. according to the method described in claim 9, it is characterized in that, the method also includes:
According to the remaining grain amount and the preset food grain appetite of single per capita, estimate the remaining grain amount for how many people
It is edible；
It is exported according to the number of estimation.
14. according to the method for claim 11, which is characterized in that output for indicate the insufficient warning information of rice grain it
Before, the method also includes:
The grain storing barrel bung that grain is held described in determination is in the open state.
15. a kind of computer-readable medium, is stored with computer executable instructions, which is characterized in that the computer is executable
Instruction is for executing the method as described in any claim in claim 9-14.
16. a kind of computing device characterized by comprising at least one processor；And it is logical at least one described processor
Believe the memory of connection；Wherein, the memory is stored with the instruction that can be executed by least one described processor, described instruction
It is executed by least one described processor, so that at least one described processor is able to carry out such as power any in claim 9-14
Benefit requires the method.
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| CN201910119273.0A CN109932715B (en) | 2019-02-18 | 2019-02-18 | Grain storage barrel, grain detection method and device and storage medium |
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| CN201910119273.0A CN109932715B (en) | 2019-02-18 | 2019-02-18 | Grain storage barrel, grain detection method and device and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110956608A (en) * | 2019-10-10 | 2020-04-03 | 北京海益同展信息科技有限公司 | Remaining foodstuff detection method, device, electronic equipment and storage medium |
| CN112043185A (en) * | 2020-07-21 | 2020-12-08 | 宁波米力物联科技有限公司 | Rice quantity analysis method, rice storage device and server |
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