CN114783112B - Intelligent meal selecting integrated machine alarm method and device and intelligent meal selecting integrated machine - Google Patents
Intelligent meal selecting integrated machine alarm method and device and intelligent meal selecting integrated machine Download PDFInfo
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- CN114783112B CN114783112B CN202210411205.3A CN202210411205A CN114783112B CN 114783112 B CN114783112 B CN 114783112B CN 202210411205 A CN202210411205 A CN 202210411205A CN 114783112 B CN114783112 B CN 114783112B
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- 235000012054 meals Nutrition 0.000 title claims abstract description 86
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000005303 weighing Methods 0.000 claims abstract description 130
- 230000001960 triggered effect Effects 0.000 claims abstract description 25
- 230000008859 change Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 11
- 230000006698 induction Effects 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 10
- 230000001939 inductive effect Effects 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 5
- 230000009471 action Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008020 evaporation Effects 0.000 description 3
- 238000001704 evaporation Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 235000014347 soups Nutrition 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/0064—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for processing of food articles
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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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/12—Cash registers electronically operated
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The application provides an intelligent meal selecting integrated machine alarming method and device and an intelligent meal selecting integrated machine, wherein the intelligent meal selecting integrated machine alarming method comprises the following steps: detecting whether a weighing value obtained at the current moment is an outlier or not and whether a designated label is identified at the current moment or not; when the outlier is detected and the designated label is not identified, determining whether an early warning state needs to be triggered at the current moment based on the weighing value; if the early warning state is triggered, further determining whether the current moment needs to enter an alarm state or not; when the current moment is determined to enter an alarm state, if the current intelligent meal selecting integrated machine does not send an alarm signal and a stable weighing value exceeding a preset number of times appears after the last alarm releasing, the intelligent meal selecting integrated machine is controlled to send the alarm signal. The alarm method can improve alarm accuracy, robustness and the like of the intelligent weighing integrated machine.
Description
Technical Field
The application relates to the technical field of intelligent meal selecting integrated machines, in particular to an intelligent meal selecting integrated machine alarming method and device and an intelligent meal selecting integrated machine.
Background
At present, more occasions provide intelligent meal selecting and charging equipment capable of self-service meal taking, automatic charging and checkout and the like, so that the labor cost of restaurants can be reduced, and the meal taking amount can be determined by a diner, thereby saving grains. However, the existing intelligent meal selecting and charging equipment often has the problems of false alarm, missed alarm and the like, for example, when the diner has the conditions of false touch, false operation and the like on the weighing machine, the weighing value is abnormally changed, so that the alarm is triggered, and the use experience of the diner is poor; for another example, for some dishes with soup, natural phenomena such as evaporation and liquefaction are unavoidable when the dishes are placed for a long time, so that the weight on the weight is slightly changed, and an alarm prompt cannot be given for the weight change caused by the natural phenomena.
Disclosure of Invention
In view of the above, the embodiment of the application provides an intelligent meal selecting and weighing integrated machine and an alarm method and device thereof, which can improve the alarm accuracy, the robustness and the like of the meal selecting and weighing integrated machine.
In a first aspect, an embodiment of the present application provides an alarm method for an intelligent meal selecting integrated machine, including:
detecting whether a weighing value obtained at the current moment is an outlier or not and whether a designated label is identified at the current moment or not;
When the detection is not an outlier and the designated label is not identified, determining whether an early warning state needs to be triggered at the current moment based on the weighing value;
if the early warning state is triggered, further determining whether the current moment needs to enter an alarm state or not;
When the current moment is determined to enter an alarm state, if the intelligent meal selecting integrated machine does not send an alarm signal, and a stable weighing value exceeding a preset number of times appears after the last alarm releasing, the intelligent meal selecting integrated machine is controlled to send the alarm signal.
In some embodiments, when the intelligent meal selecting integrated machine is controlled to send out an alarm signal, the method further comprises:
Setting a plurality of continuous moments after the current moment to enter an alarm state; wherein, the continuous moments are determined according to the preset alarm duration;
the control of the display alarm device to send out an alarm signal further comprises the following steps:
and when the alarm duration of the alarm signal reaches the alarm duration, releasing the alarm.
In some embodiments, the intelligent meal selection integrated machine alarm method further comprises:
if the weighing value at the current moment is an outlier or the appointed label is identified, controlling the display alarm device not to send an alarm signal at the current moment;
wherein the designated tag is an administrator tag or a diner tag.
In some embodiments, the determining whether the pre-warning state needs to be triggered at the current moment based on the weighing value includes:
detecting whether the change of the weighing value at the current moment and the display weight at the last moment exceeds a first preset threshold value, and determining that the current moment triggers an early warning state when the change of the weighing value at the current moment and the display weight at the last moment exceeds the first preset threshold value.
In some embodiments, the determining of the display weight at the respective time instant includes:
When detecting that the weighing value at the current moment is not an outlier, according to whether the absolute value of the difference between the weighing values at the current moment and the previous moment is larger than a second preset threshold value or not;
if the weighing value is larger than the stable value, determining that the weighing value at the current moment is a stable value, otherwise, determining that the weighing value is not the stable value;
If the weighing value is a stable value, taking the stable weighing value as the display weight at the current moment;
if the display weight is not the stable value, the display weight at the previous time is taken as the display weight at the current time.
In some embodiments, the further determining whether the current time requires entering an alarm state includes:
And when detecting that the preset number of historical moments adjacent to the current moment are in an early warning state and are not in an alarm state at the previous moment or are not in the alarm state for a plurality of continuous time, determining that the current moment enters the alarm state.
In a second aspect, an embodiment of the present application further provides an intelligent meal selecting integrated machine alarm device, where the intelligent meal selecting integrated machine alarm device includes:
The detection module is used for detecting whether the weighing value obtained at the current moment is an outlier or not and whether the specified label is identified at the current moment or not;
The first determining module is used for determining whether the early warning state needs to be triggered at the current moment or not based on the weighing value when the outlier is detected and the designated label is not recognized;
the second determining module is used for further determining whether the alarm state needs to be entered at the current moment if the early warning state is triggered;
And the control module is used for controlling the intelligent meal selecting integrated machine to send out an alarm signal if the intelligent meal selecting integrated machine does not send out the alarm signal at the present moment when the current moment is determined to enter the alarm state and a stable weighing value exceeding the preset times appears after the last alarm releasing.
In a third aspect, an embodiment of the present application further provides an intelligent meal selecting integrated machine, where the intelligent meal selecting integrated machine includes an induction weighing device, a display alarm device, a processor and a memory, where the induction weighing device is used to obtain a weighing value, the display alarm device is used to display and alarm weight, the memory stores a computer program, and the processor is used to execute the computer program to implement the alarm method of the intelligent meal selecting integrated machine.
In some embodiments, the inductive weighing device comprises a tray placement area, an RFID reader disposed at the bottom of the tray placement area, and an analog/digital converter, both of which are electrically connected to the processor;
The RFID card reader is used for reading RFID tags embedded in the tray so as to send the dining information to the processor; the analog/digital converter is used for uploading the obtained weighing value to the processor at regular time intervals.
In a fourth aspect, an embodiment of the present application further provides a readable storage medium, where a computer program is stored, where the computer program implements the foregoing intelligent meal selection integrated machine alarm method when executed on a processor.
The embodiment of the application has the following beneficial effects:
according to the intelligent meal selecting integrated machine alarming method, the weighing values are reported at regular time and alarming judgment is carried out, one moment is taken as an example, whether the weighing values reported at the current moment are outliers or not and whether the appointed labels are identified at the current moment or not are detected; when the outlier is detected and the designated label is not identified, determining whether an early warning state needs to be triggered at the current moment based on the weighing value; if the early warning state is triggered, further determining whether the current moment needs to enter an alarm state or not; when the current moment is determined to enter an alarm state, if the current intelligent meal selecting integrated machine does not send an alarm signal and a stable weighing value exceeding a preset number of times appears after the last alarm releasing, the intelligent meal selecting integrated machine is controlled to send the alarm signal. The alarm method improves the alarm accuracy, the robustness and the like of the meal selecting and weighing integrated machine, for example, the situations of false touch, false operation and the like of a user can be accurately identified without false alarm, and the purposes that for some dishes with soup, natural phenomena such as evaporation, liquefaction and the like can not be avoided when the dishes are placed for a long time, and a manager can be timely reminded to process and the like can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a first structural schematic diagram of an intelligent meal selecting integrated machine according to an embodiment of the present application;
fig. 2 shows a second structural schematic diagram of the intelligent meal selecting integrated machine according to the embodiment of the application;
FIG. 3 shows a first flowchart of an intelligent meal select all-in-one alarm method of an embodiment of the present application;
Fig. 4 shows a weighing value time sequence diagram of an alarm method of an intelligent meal selecting integrated machine according to an embodiment of the application;
FIG. 5 shows a flow chart of a display weight determination at each instant in time for an embodiment of the present application;
FIG. 6 shows a second flowchart of an intelligent meal select all-in-one alarm method of an embodiment of the present application;
Fig. 7 shows a schematic structural diagram of an alarm device of an intelligent meal selecting integrated machine according to an embodiment of the application.
Description of main reference numerals:
100-intelligent meal selecting integrated machine; 110-an inductive weighing device; 120-displaying an alarm device; 130-a processor; 140-memory; 111-a tray placement area; 112-an RFID reader; 113-an analog/digital converter; 114-weighing area; 121-An Zhuobing;
200-intelligent meal selecting integrated machine alarm device; 210-a detection module; 220-a first determination module; 230-a second determination module; 240-control module.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments.
The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
The terms "comprises," "comprising," "including," or any other variation thereof, are intended to cover a specific feature, number, step, operation, element, component, or combination of the foregoing, which may be used in various embodiments of the present application, and are not intended to first exclude the presence of or increase the likelihood of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing. Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the application belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having a meaning that is the same as the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in connection with the various embodiments of the application.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The embodiments described below and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, a schematic structure diagram of an intelligent meal selecting integrated machine 100 according to an embodiment of the application is shown. Exemplarily, the intelligent meal selecting integrated machine 100 includes an induction weighing device 110, a display alarm device 120, a processor 130 and a memory 140, where the induction weighing device 110 is used to obtain a weighing value, the display alarm device 120 is used for displaying weight and alarming, the memory 140 stores a computer program, and the processor 130 is used to execute the computer program to implement the intelligent meal selecting integrated machine alarming method of the embodiment, so as to improve alarming accuracy, reduce alarm omission ratio and alarm false alarm rate, and further improve user experience and the like.
In one embodiment, as shown in FIG. 2, the inductive weighing device 110 is comprised primarily of a tray placement area 111, RFID reader 112, analog/digital (A/D) converter 113, weighing area 114, etc., while the display alarm device 120 is comprised primarily of An Zhuobing, 121, etc. Wherein the RFID reader 112 is disposed at the bottom of the tray placement area 111, and the analog/digital converter 113 and the RFID reader 112 are electrically connected to the processor 130. Illustratively, before a diner takes a meal, personal information is bound with a tray; when taking a meal, the tray is placed in the tray placement area 111, and then the RFID reader 112 reads the RFID tag embedded in the tray to send the information of the meal person to the processor 130; and the obtained weighing values are uploaded to the processor 130 at regular time through the analog/digital converter 113, for example, 1 weighing value can be reported every 0.5s and other time intervals, so that the processor 130 performs corresponding processes such as charging, alarm judgment and the like according to the weighing values reported in real time.
Based on the structure of the intelligent meal selecting integrated machine 100, the embodiment of the application provides an intelligent meal selecting integrated machine alarm method to improve the alarm accuracy of the intelligent meal selecting integrated machine 100, reduce the alarm omission rate and the alarm false alarm rate, so that the intelligent meal selecting integrated machine has certain self-adaptability to environmental changes, and particularly can identify some typical extreme conditions, improve the use experience of users and the like.
Referring to fig. 3, the alarm method of the intelligent meal selecting integrated machine of the embodiment includes the following steps S110 to S150:
S110, detecting whether the weighing value acquired at the current moment is an outlier or not and whether the designated label is identified at the current moment or not.
The outlier is also called an outlier, and is mainly caused by abnormal change of weighing caused by actions such as false touch, false touch and the like of a diner or a manager. In this embodiment, by performing outlier judgment on the weighing value reported each time, which is equivalent to adding a filter, continuous weighing values with overlarge phase difference are filtered out, so that abnormal weight changes on the weighing caused by actions such as false touch and false touch can be effectively filtered, false alarm can be avoided, false alarm rate is reduced, and user experience is improved.
For example, when the outlier judgment is performed, the calculation may be performed in combination with the weighing values of the current time and the previous historical time, for example, if the absolute value of the difference between the weighing values of the current time and the previous time is greater than a preset value, and the absolute value of the difference between the weighing values of the previous time and the previous time is also greater than the preset value, then the weighing value at the current time is determined to be the outlier, otherwise, the weighing value at the current time is not the outlier.
For ease of illustration, the initial time t 0,t0 is herein described as the time when the machine is started and receives the weight value reported from the inductive weighing device 110. Assuming that the inductive weighing device 110 reports 1 weighing value every 500ms (i.e. 0.5 s), t n represents the time of the n/2 th second. At the same time, recordFor the weighing value at time t n, then/>Is a time series as shown in fig. 4. Wherein, the initial time t 0/>Indicating receipt of the first weighing value from the inductive weighing device 110.
For the above outlier judgment, the state of whether the weighing value at each moment is the outlier is passed through a time sequenceRepresentation, where/>Then represents the weighing value/>, at time t n Is an outlier,/>Then represent/>Not outliers.
Then, at time t n, if there isAnd/> All are true, then/>Assigning a value of 1; otherwise,/>The value is 0. Wherein δ 2 represents/>The maximum allowable variation value in the normal range, such as 10g, can be set, and can be specifically adjusted according to actual requirements.
Wherein, the specified label is an administrator label or a diner label. For the intelligent meal selecting all-in-one machine 100, the tag state is read at each moment, so that the following reading conditions may exist, and for convenience in distinguishing, the tag state at each moment is recorded, thereby obtaining a sequenceFor example, if the tag card is not read at the current time t n,/>Otherwise, if the read tag card number is an administrator, then/>Otherwise, if the read tag card number is a diner,/>Otherwise,/>Meaning that the read tag card is neither an administrator nor a diner, and is a tag card that is not entered into the system.
And S120, when the outlier is detected and the designated label is not identified, determining whether the early warning state needs to be triggered at the current moment or not based on the weighing value at the current moment.
In one embodiment, whether the change of the weighing value at the current moment and the display weight at the last moment exceeds a first preset threshold value or not can be detected, and when the change of the weighing value at the current moment and the display weight at the last moment exceeds the first preset threshold value, the early warning state is determined to be triggered at the current moment, otherwise, the early warning is not triggered (namely early warning), namely, if the change of the weighing value at the current moment and the display weight at the last moment does not exceed the threshold value, the condition that the early warning is not triggered is indicated to be in a normal range.
Assume that the display weight displayed by the display alarm device 120 at time t n is recorded asFor example,/>The display weight at 5 seconds is shown. Then, time t n/>And/>The absolute value of the difference is recorded as/>I.e./>If it detects/>And determining that the early warning state is triggered at the current moment, otherwise, not triggering the early warning state.
In order to conveniently distinguish the early warning state from the subsequent alarm state, the method can be used forTo indicate whether the integrated machine triggers an early warning state, wherein,/>Indicating that the early warning state is triggered at time t n,Indicating that the early warning state is not triggered at the time t n.
It will be appreciated that triggering the pre-alarm is a buffer mechanism, and further checking whether an alarm is actually necessary is required before an alarm signal is actually issued. This reduces unnecessary alarm operations.
As shown in fig. 5, the determination of the display weight for each time instant includes the following steps:
S121, when the weighing value at the current moment is detected not to be an outlier, determining whether the absolute value of the difference between the weighing values at the current moment and the last moment is larger than a second preset threshold value.
And S122, if the weighing value is larger than the preset threshold value, determining that the weighing value at the current moment is a stable value, otherwise, determining that the weighing value is not the stable value.
And S123, if the weighing value is a stable value, taking the stable weighing value as the display weight at the current moment.
If the display weight is not the stable value, the display weight at the previous time is set as the display weight at the current time at S124.
For example, the weighing value at time t n The state of whether it is a stable value is noted as/> Then represent/>Is a stable value,/>Then represent/>Not a stable value. Thus, if there isThen/>Assignment of/> Assigning a value of 1; otherwise,/>Assignment of/> The value is 0.
It can be understood that the reported weighing values are filtered once and the stable weighing values are displayed, and when the fact that the weighing value at the current moment is not the stable value is detected, each weighing value is reported once in 0.5s, and no large change exists in a short time, so that the display weight at the previous moment can be continuously displayed. This allows for the need for the diner to see the correct meal weight, etc.
In addition, as an alternative scheme, the intelligent meal selecting integrated machine alarming method further comprises the following steps:
If the weighing value at the current moment is an outlier or the specified label is identified, the intelligent meal selecting integrated machine 100 is controlled not to send an alarm signal at the current moment.
It can be understood that if the weighing value is identified as an outlier, the judgment is made that the weighing value belongs to misoperation and the like, so that false alarm can be avoided, and the use experience of a user is improved. Also, if an administrator or diner tag is identified, it is indicated that they may be adding or taking dishes, etc. at the present time, which is a legal operation, so that an alarm signal should be avoided. Otherwise, if no tag is identified or other tags are identified, there may be a malfunction or other situation, and at this time, further judgment may be made to actually determine whether an alarm is required.
S130, if the early warning state is triggered, further determining whether the current moment needs to enter the warning state.
Wherein the alarm state is a further operation than the pre-alarm state. It should be noted that, in this embodiment, even if the alarm state is entered, the alarm is not necessarily given, and other factors such as whether the alarm state is already in the previous moment need to be considered, so that repeated triggering of the alarm on the same abnormal condition can be avoided, and false alarm and the like can be prevented.
In one embodiment, the step S130 may include:
when detecting that the preset number of historical moments adjacent to the current moment are in an early warning state and are not in an alarm state at the previous moment or are not in the alarm state in a plurality of continuous time, determining that the current moment enters the alarm state, or else, not entering the alarm state.
Assume that the alarm state of the weighing integrated machine at the time t n is recorded asWherein,Then it indicates that the all-in-one machine is in an alarm state at time t n,/>And the result indicates that the all-in-one machine is not in an alarm state at the time t n.
In this embodiment, when determining whether the all-in-one machine is in an alarm state, the following conditions are described before determining logic:
Condition a:
Condition b: Or/>
Condition c:
Condition d: floor represents a rounding down operation;
Then, at time t n: if (condition a or condition d) and both conditions b, c are true, i.e. if the machine is not in an alarm state at one time or has been in an alarm state for several consecutive times, and no manager or diner tag is identified, and the consecutive times are early warning states, then Assigning a value of 1; otherwise, willThe value is 0.
And S140, when the current moment is determined to enter an alarm state, if the current intelligent meal selecting integrated machine 100 does not send an alarm signal and a stable weighing value exceeding a preset number of times appears after the last alarm releasing, controlling the intelligent meal selecting integrated machine 100 to send the alarm signal. For example, the catering staff can be reminded of timely handling wrong operations of the diners by sending out sound and/or light alarm signals.
It can be appreciated that before the intelligent meal selecting integrated machine actually sends out an alarm signal through the display alarm device 120, it needs to determine whether the following conditions are satisfied:
Condition a:
Condition b: Or/>
Condition c:
Condition d:
Condition e:
at time t n:
If the conditions a, b, c, d, e are all true, i.e. the weighing value at the current moment is not an outlier, no administrator or diner tag is identified, the current all-in-one machine is not in an alarm state (i.e. is not currently alarming), a plurality of continuous times exceed a preset threshold delta 2 (i.e. a plurality of continuous times are in an early warning state), and the stable times of the weighing value exceeds a certain threshold after the last time the alarm state is released are all satisfied, then an alarm signal is controlled to be sent; otherwise, the alarm signal is not sent out.
As an alternative, an automatic release mechanism is also provided in this solution. As shown in fig. 6, when the intelligent meal selecting integrated machine 100 is controlled to send out an alarm signal, the method further includes:
S150, setting a plurality of continuous moments after the current moment as entering an alarm state; wherein, the continuous moments are determined according to the preset alarm duration.
The alarm duration time is the waiting time for automatically releasing the alarm after the integrated machine sends out the alarm signal, and the unit is seconds. If the duration of the alarm exceeds this value, the alarm will be automatically cancelled, for example, it may be set to 2-4 seconds. Assuming for example 3 seconds, several successive moments (t n+1～tn+5) as described above will be taken as examplesSet to 1. Thus, the alarm signal can be ensured to continuously alarm for a period of time. For example, in the case of no tray, when only 1 change of the actual weight exceeds the threshold value, the alarm command issued by the integrated machine should be 1 time and only 1 time, i.e. 1 change should not issue a plurality of commands, so as to prevent the same action from generating a plurality of alarms, etc.
Accordingly, the intelligent meal selecting integrated machine 100 is controlled to send out an alarm signal, and then further comprises:
And S160, when the alarm duration of the alarm signal reaches the alarm duration, the alarm is released.
It can be appreciated that, considering that if the alarm time is always continuous, the manager needs to manually release each alarm, and the long-time alarm sound and the like can make the diners and other diners feel bad, the automatic release mechanism can also reduce the active operation of the manager, reduce the workload of the manager, thereby improving the use experience of the manager, and simultaneously improving the experience of the diners.
The intelligent meal selecting integrated machine alarming method of the embodiment can accurately detect whether the weight change on the electronic scale exceeds a set threshold value or not by timely and real-timely collecting and reporting the weighing value through the induction weighing device, and timely and accurately send out an alarming instruction without missing any abnormal condition; meanwhile, the weighing value at the current moment, the weighing value at the historical moment and/or the display weight, the state at the historical moment and the like are combined to carry out comprehensive judgment so as to determine whether an alarm signal needs to be sent out or not, and misoperation such as false touch, false touch and the like, such as actions such as pressing, touching and light point and the like, which are symmetrical by a diner can be intelligently filtered, so that the use experience of a user is improved; and the weight change caused by natural phenomena such as evaporation can be alarmed, so that workers are reminded of processing expired dishes and the like. In addition, the method also has the advantages that the alarm can not be triggered repeatedly under the same abnormal condition, false alarm is prevented, and the use experience of managers and diners is improved.
Referring to fig. 7, based on the foregoing alarm method, the present embodiment provides an intelligent meal selecting integrated machine alarm device 200, and the intelligent meal selecting integrated machine alarm device 200 includes:
the detection module 210 is configured to detect whether the weighing value obtained at the current moment is an outlier and whether the specified label is identified at the current moment;
a first determining module 220, configured to determine, when the detection is not an outlier and the designated tag is not identified, whether an early warning state needs to be triggered at the current moment based on the weighing value;
the second determining module 230 is configured to further determine whether the alarm state needs to be entered at the current moment if the early warning state is triggered;
the control module 240 is configured to, when determining that the current time enters the alarm state, control the intelligent meal selecting integrated machine 100 to send an alarm signal if the current intelligent meal selecting integrated machine 100 does not send the alarm signal and a stable weighing value exceeding a preset number of times occurs after the previous alarm release.
It will be appreciated that the apparatus of this embodiment corresponds to the method of the above embodiment, and that the alternatives in the above embodiment are equally applicable to this embodiment, so that the description will not be repeated here.
The application also provides a readable storage medium for storing the computer program used in the intelligent meal selecting integrated machine 100.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, of the flow diagrams and block diagrams in the figures, which illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules or units in various embodiments of the application may be integrated together to form a single part, or the modules may exist alone, or two or more modules may be integrated to form a single part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a smart phone, a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application.
Claims (8)
1. An intelligent meal selecting integrated machine alarming method is characterized by comprising the following steps of:
detecting whether a weighing value obtained at the current moment is an outlier or not and whether a designated label is identified at the current moment or not; if the absolute value of the difference between the weighing values at the current moment and the last moment is larger than a preset value and the absolute value of the difference between the weighing values at the last moment and the last moment is larger than the preset value, determining that the weighing value at the current moment is an outlier;
When the detection is not an outlier and the designated label is not identified, determining whether an early warning state needs to be triggered at the current moment based on the weighing value; detecting whether the change of the weighing value at the current moment and the display weight at the last moment exceeds a first preset threshold value, and determining that the current moment triggers an early warning state when the change exceeds the first preset threshold value; wherein the determining of the display weight at the respective moment comprises: when the weighing value at the current moment is detected not to be an outlier, determining whether the absolute value of the difference between the weighing value at the current moment and the weighing value at the previous moment is larger than a second preset threshold value or not; if the weighing value is larger than the stable value, determining that the weighing value at the current moment is a stable value, otherwise, determining that the weighing value is not the stable value; if the weighing value is a stable value, taking the stable weighing value as the display weight at the current moment; if the display weight is not the stable value, the display weight at the previous moment is taken as the display weight at the current moment;
if the early warning state is triggered, further determining whether the current moment needs to enter an alarm state or not;
When the current moment is determined to enter an alarm state, if the intelligent meal selecting integrated machine does not send an alarm signal, and a stable weighing value exceeding a preset number of times appears after the last alarm releasing, the intelligent meal selecting integrated machine is controlled to send the alarm signal.
2. The intelligent meal selecting integrated machine alarm method according to claim 1, wherein when the intelligent meal selecting integrated machine is controlled to send an alarm signal, the method further comprises:
Setting a plurality of continuous moments after the current moment to enter an alarm state; wherein, the continuous moments are determined according to the preset alarm duration;
the intelligent meal selecting all-in-one machine is controlled to send out an alarm signal, and then the intelligent meal selecting all-in-one machine further comprises:
and when the alarm duration of the alarm signal reaches the alarm duration, releasing the alarm.
3. The intelligent meal selecting all-in-one machine alarm method according to claim 1, further comprising:
If the weighing value at the current moment is an outlier or the appointed label is identified, controlling the intelligent meal selecting integrated machine not to send an alarm signal at the current moment;
wherein the designated tag is an administrator tag or a diner tag.
4. A smart meal option all-in-one machine alarm method as claimed in any one of claims 1 to 3, wherein said further determining whether an alarm state is required at the present time comprises:
And when detecting that the preset number of historical moments adjacent to the current moment are in an early warning state and are not in an alarm state at the previous moment or are not in the alarm state for a plurality of continuous time, determining that the current moment enters the alarm state.
5. An intelligent meal selecting integrated machine alarm device which is characterized by comprising:
The detection module is used for detecting whether the weighing value obtained at the current moment is an outlier or not and detecting whether the specified label is identified at the current moment or not; if the absolute value of the difference between the weighing values at the current moment and the last moment is larger than a preset value and the absolute value of the difference between the weighing values at the last moment and the last moment is larger than the preset value, determining that the weighing value at the current moment is an outlier;
the first determining module is used for determining whether the early warning state needs to be triggered at the current moment or not based on the weighing value when the outlier is detected and the designated label is not recognized; detecting whether the change of the weighing value at the current moment and the display weight at the last moment exceeds a first preset threshold value, and determining that the current moment triggers an early warning state when the change exceeds the first preset threshold value; wherein the determining of the display weight at the respective moment comprises: when the weighing value at the current moment is detected not to be an outlier, determining whether the absolute value of the difference between the weighing value at the current moment and the weighing value at the previous moment is larger than a second preset threshold value or not; if the weighing value is larger than the preset weighing value, determining that the weighing value at the current moment is a stable value; if the weighing value is a stable value, taking the stable weighing value as the display weight at the current moment; if the display weight is not the stable value, the display weight at the previous moment is taken as the display weight at the current moment;
the second determining module is used for further determining whether the alarm state needs to be entered at the current moment if the early warning state is triggered;
And the control module is used for controlling the intelligent meal selecting integrated machine to send out an alarm signal if the intelligent meal selecting integrated machine does not send out the alarm signal at the present moment when the current moment is determined to enter the alarm state and a stable weighing value exceeding the preset times appears after the last alarm releasing.
6. The intelligent meal selecting integrated machine is characterized by comprising an induction weighing device, a display alarm device, a processor and a memory, wherein the induction weighing device is used for acquiring a weighing value, the display alarm device is used for displaying weight and giving an alarm, the memory is stored with a computer program, and the processor is used for executing the computer program to implement the intelligent meal selecting integrated machine alarm method according to any one of claims 1-4.
7. The intelligent meal selecting all-in-one machine according to claim 6, wherein the induction weighing device comprises a tray placement area, an RFID reader arranged at the bottom of the tray placement area, and an analog/digital converter, wherein the analog/digital converter and the RFID reader are electrically connected with the processor;
The RFID card reader is used for reading RFID tags embedded in the tray so as to send the dining information to the processor; the analog/digital converter is used for uploading the obtained weighing value to the processor at regular time intervals.
8. A readable storage medium, characterized in that it stores a computer program which, when executed on a processor, implements the intelligent meal option all-in-one alarm method according to any one of claims 1-4.
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