CN114751113B - Weighing calculation method of multi-barrel intelligent garbage classification kiosk - Google Patents
Weighing calculation method of multi-barrel intelligent garbage classification kiosk Download PDFInfo
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- CN114751113B CN114751113B CN202210264412.0A CN202210264412A CN114751113B CN 114751113 B CN114751113 B CN 114751113B CN 202210264412 A CN202210264412 A CN 202210264412A CN 114751113 B CN114751113 B CN 114751113B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/0033—Refuse receptacles; Accessories therefor specially adapted for segregated refuse collecting, e.g. receptacles with several compartments; Combination of receptacles
- B65F1/0053—Combination of several receptacles
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
- B65F1/16—Lids or covers
- B65F1/1623—Lids or covers with means for assisting the opening or closing thereof, e.g. springs
- B65F1/1638—Electromechanically operated lids
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F1/00—Refuse receptacles; Accessories therefor
- B65F1/14—Other constructional features; Accessories
- B65F2001/1653—Constructional features of lids or covers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65F—GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/184—Weighing means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/10—Waste collection, transportation, transfer or storage, e.g. segregated refuse collecting, electric or hybrid propulsion
Abstract
The invention discloses a weighing calculation method of a multi-barrel intelligent garbage classification kiosk, which is characterized by collecting weight changes of various garbage barrels and rapidly converging the weight changes to a final value; dynamically adjusting the sensitive value of each weighing sensor according to the delivery feedback condition of each garbage can; after the garbage can is replaced, automatically calibrating the latest weight value; supporting the symmetrical arrangement of gravity acceleration and maximum weight value; alarming when the garbage can is about to reach the maximum weight value; when a certain garbage can reaches the maximum gravity value, the garbage can is not opened in the delivery process, and the garbage can is opened again after being replaced.
Description
Technical Field
The invention relates to a weighing calculation method of a multi-barrel intelligent garbage classification kiosk.
Background
The existing intelligent garbage can is generally designed to be multi-can with a cover, a user can automatically open the garbage can cover and deliver garbage after identity authentication is completed, the delivered garbage needs to be weighed after delivery, results are recorded, and then rewarding or other operations are carried out on the user according to the weighing results.
Weighing generally uses weighing sensor, receives various factors influence, has unstability and poor problem of overload capacity, and the condition of intensive delivery often can appear in rubbish delivery scene, and how to guarantee weighing accurate under the condition, carries out the quick calculation to the rubbish weight of delivering is the problem that intelligent garbage bin needs to solve.
Disclosure of Invention
According to the problems in the prior art, the invention provides a weighing calculation method of a multi-bin intelligent garbage classification kiosk, aiming at overcoming the problems of instability and poor overload capacity of a weighing sensor of a multi-bin intelligent garbage bin, quickly calculating the weight change condition of the weight of each garbage bin and guaranteeing the garbage delivery efficiency under the condition of intensive delivery.
In order to realize the purpose, the technical scheme of the invention is as follows: a weighing calculation method of a multi-barrel intelligent garbage classification kiosk comprises the following steps:
s1, before delivery starts, calibrating the gravity acceleration and the maximum weighing capacity of the area where the symmetrical retransmission sensor is located;
s2, after the user authentication is passed, delivery is started, firstly, the weight and the maximum weight of each garbage can are obtained and compared, and if the weight of each garbage can is larger than the maximum weight, the garbage can cover is not opened any more;
s3, after delivering the garbage, a user starts to receive weight change data of each garbage can, the change data of the garbage cans are stored according to the garbage cans, the time and the weight value of the received data are recorded, and a timer and the time T of the timer are set for each opened garbage can;
calculation rule of T: the initial value of T is T0, then according to the delivery times in the last N minutes, if the delivery times are more than C times, the time of T0 is reduced every more 1 time until the delivery times are reduced to the set minimum value;
s4, when the weighing data change of one garbage can is reported, reporting data is recorded in a garbage can data set, and a timer of the garbage can is restarted to time for T0;
s5, if the weighing data of the garbage can changes midway, repeating the step S4;
s6, if the weighing data of the garbage can in the whole process is unchanged after the timer of the garbage can finishes timing, the garbage can is considered to be delivered, the last recorded data of the garbage can is used as the final weighing weight, and the weight before delivery is subtracted, so that the garbage weight of the garbage can is delivered at this time;
s7, after all the garbage cans are delivered, comprehensively calculating the weight change of each garbage can, summarizing according to the type and the weight of the garbage cans, and reporting;
s8, analyzing the data record conditions of the garbage cans one by one, and screening out data of two conditions, wherein one condition is that the delivery weighing process is larger than t seconds, and the other condition is that the data updating rate in the delivery process is larger than s2 times/second or smaller than s1 times/second;
s9, aiming at data of which the delivery process is more than t seconds, increasing G for weighing sensitivity of the scale;
s10, expressing the updating rate by S, and aiming at the condition that the updating rate is too fast S > S2 or the updating rate is too slow S >0 and S < S1, and S1< S2, according to the formula: f (S) =15-100/S, and the obtained result is subjected to symmetrical weighing sensitivity adjustment;
s11, after the filled garbage can is replaced by the garbage can, the latest weight of the garbage can is automatically updated, and the garbage can cover of the garbage can is opened when the garbage can is delivered next time.
Preferably, the initial value T0 of T is 800ms.
Preferably, in S3, according to the delivery times in the last 1 minute, if the delivery times are more than 4, the time of T0 is reduced by 50ms every more 1 time until 100 ms.
Preferably, in S8, the data recording conditions of the garbage cans are analyzed one by one, and data of two conditions are screened out, wherein one is data of which the delivery weighing process is more than 5 seconds, and the other is data of which the data updating rate is more than 20 times/second or less than 5 times/second in the delivery process.
Preferably, in the S9 and the S10, the weighing sensitivity of the scale is increased by 10g for the data of more than 5 seconds in the delivery process;
the update rate is denoted by S, for the case of an update rate that is too fast S >20 or an update rate that is too slow S >0 and S <5, according to the formula: the results obtained by F (S) =15-100/S are adjusted for symmetrical weighing sensitivity.
The invention has the beneficial effects that:
the method comprises the steps of collecting weight changes of all garbage cans, rapidly converging the weight changes to a final value, dynamically adjusting sensitive values of all weighing sensors according to delivery feedback conditions of all the garbage cans, automatically calibrating a latest weight value after the garbage cans are replaced, supporting symmetrical setting of gravity acceleration and a maximum weight value, giving an alarm when the garbage cans reach the maximum weight value, and when a certain garbage can reaches the maximum gravity value, not opening the garbage can in the delivery process and re-opening the garbage can after the garbage can is replaced.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
As shown in FIG. 1, firstly, the gravity acceleration value of the place where the intelligent garbage can is located and the maximum value of the weighing sensor are inquired and configured into the system.
When the user delivers, after the user completes the identity authentication, the condition of the garbage can needs to be judged first. Taking four trash cans as an example, if the existing trash can data is as shown in the following table:
garbage can | Current weight of | Maximum weight |
Dustbin 1 | 58KG | 300KG |
Dustbin 2 | 301KG | 300KG |
Dustbin 3 | 29KG | 300KG |
Dustbin 4 | 230KG | 300KG |
According to the current data calculation, the garbage can 2 reaches the maximum delivery amount, so that the garbage can 2 cannot be opened when the delivery is carried out, and the garbage can 1, the garbage can 3 and the garbage can 4 are opened.
Starting a timer for each opened garbage can, judging a timing T rule according to the latest delivery condition, and taking the delivery frequency of the latest 1 minute as a delivery frequency as 5 examples, the calculation mode of T is as follows: 800- (5-4) × 50=750ms.
After the user delivers the garbage, the user starts to receive the data report of the garbage can, if the current report data is as shown in the following figure:
numbering | Garbage can | Reported weight | Reporting time |
1 | Dustbin 1 | 58.3KG | 18:01:03.000 |
2 | Dustbin 3 | 32.5KG | 18:01:03.100 |
3 | Dustbin 1 | 58.5KG | 18:01:03.150 |
4 | Dustbin 3 | 33KG | 18:01:03.260 |
5 | Dustbin 1 | 59KG | 18:01:03.680 |
6 | Dustbin 1 | 59.35KG | 18:01:03.850 |
7 | Dustbin 1 | 59.31KG | 18:01:04.200 |
8 | Dustbin 1 | 59.33KG | 18:01:04.700 |
The received data are respectively recorded according to each garbage can, the data processing mode according to the time receiving sequence is as follows, the data with the number 1 are received, the timer of the garbage can 1 is updated, the time T is counted again, the data with the number 2 are received, the timer of the garbage can 3 is updated, the time T is counted again, the data with the number 3 are received, the timer of the garbage can 1 is updated, the time T is counted again, and the like.
The last record of the trash can 3 is the record with the number 4, and when T time elapses after the receipt, that is, 18.04.010, the timing is completed, 33KG is used as the final weight, and the delivery weight of the trash can 3 at this time is: 33-29=4kg.
The last record of the trash can 1 is the record with the number 8, and when T time, namely 18.450, has elapsed after receipt, timing is completed, 59.33KG is used as the final weight, and the delivery weight of the trash can 1 this time is: 59.33-58=1.33kg.
Synthesize the condition of all garbage bins, 1.33KG is delivered to garbage bin 1, and 4KG is delivered to garbage bin 3, and garbage bin 4 does not deliver, this delivery total amount 4.33KG.
Then, according to the data reporting condition, the delivery sensitivity is analyzed, no garbage can in the delivery time exceeds 5 seconds, but within the delivery time of 1 garbage can within 1700ms, 6 times of data are generated totally, the updating rate is 3.53 times/second,
sensitivity adjustment is required. According to the formula: f (S) =15-100/S sensitivity is adjusted, and F (3.53) =15-100/3.53= -13.33 according to the formula calculation, so that the sensitivity of the weighing sensor of the garbage can 1 is reduced by 13.33.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the invention is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (5)
1. A weighing calculation method of a multi-barrel intelligent garbage classification kiosk is characterized by comprising the following steps:
s1, before delivery starts, calibrating the gravity acceleration and the maximum weighing capacity of the area where the symmetrical mass sensor is located;
s2, after the user authentication is passed, delivery is started, firstly, the weight and the maximum weight of each garbage can are obtained and compared, and if the weight of each garbage can is larger than the maximum weight, the garbage can cover is not opened any more;
s3, after delivering the garbage, a user starts to receive weight change data of each garbage can, the change data of the garbage cans are stored according to the garbage cans, the time and the weight value of the received data are recorded, and a timer and the time T of the timer are set for each opened garbage can;
calculation rule of T: the initial value of T is T0, then according to the delivery times in the last N minutes, if the delivery times are more than C times, the time of T0 is reduced every more 1 time until the delivery times are reduced to the set minimum value;
s4, when the weighing data change of one garbage can is reported, reporting data are recorded in a garbage can data set, and a timer of the garbage can is restarted to time for T0;
s5, if the weighing data of the garbage can changes midway, repeating the step S4;
s6, if the weighing data of the garbage can in the whole process is unchanged after the timer of the garbage can finishes timing, the garbage can is considered to be delivered, the last recorded data of the garbage can is used as the final weighing weight, and the weight before delivery is subtracted, so that the garbage weight is delivered for the garbage can;
s7, after all the garbage cans are delivered, comprehensively calculating the weight change of each garbage can, summarizing according to the type and the weight of the garbage can, and reporting;
s8, analyzing the data recording conditions of the garbage cans one by one, and screening out data of two conditions, wherein one condition is that the delivery weighing process is larger than t seconds, and the other condition is that the data updating rate in the delivery process is larger than s2 times/second or smaller than s1 times/second;
s9, increasing G to the weighing sensitivity of the scale aiming at the data of which the delivery process is more than t seconds;
s10, the updating rate is expressed by S, and for the case that the updating rate is too fast S > S2 or the updating rate is too slow S >0 and S < S1, and S1< S2, according to the formula: f (S) =15-100/S, and the obtained result is subjected to symmetrical weighing sensitivity adjustment;
s11, after the filled garbage can is replaced by the garbage can, the latest weight of the garbage can is automatically updated, and the garbage can cover of the garbage can is opened when the garbage can is delivered next time.
2. The method of claim 1, wherein T has an initial value T0 of 800ms.
3. The method as claimed in claim 1, wherein in S3, if the number of deliveries in the last 1 minute is greater than 4, the time of T0 is decreased by 50ms for 1 more delivery until 100 ms.
4. The method as claimed in claim 1, wherein in step S8, the data records of the trash cans are analyzed one by one, and data of two cases are selected, one is data of more than 5 seconds in the delivery weighing process, and the other is data of more than 20 times/second or less than 5 times/second in the delivery process.
5. The method for calculating the weighing of a multi-bucket intelligent garbage classification kiosk according to claim 4, wherein in S9 and S10, the weighing sensitivity of the scale is increased by 10g for data with a delivery process of more than 5 seconds;
the update rate is denoted by S, for the case of an update rate that is too fast S >20 or an update rate that is too slow S >0 and S <5, according to the formula: the results obtained by F (S) =15-100/S are adjusted for symmetrical weighing sensitivity.
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