CN116119210A - Method for improving garbage clearance efficiency based on delivery record analysis - Google Patents
Method for improving garbage clearance efficiency based on delivery record analysis Download PDFInfo
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- CN116119210A CN116119210A CN202310042831.4A CN202310042831A CN116119210A CN 116119210 A CN116119210 A CN 116119210A CN 202310042831 A CN202310042831 A CN 202310042831A CN 116119210 A CN116119210 A CN 116119210A
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- garbage
- garbage collection
- collection container
- time
- efficiency based
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000004458 analytical method Methods 0.000 title claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- 238000010586 diagram Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 238000005303 weighing Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
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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
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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
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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
- B65F7/00—Cleaning or disinfecting devices combined with refuse receptacles or refuse vehicles
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/182—Volume determining means
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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
- B65F2210/00—Equipment of refuse receptacles
- B65F2210/184—Weighing means
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for improving garbage clearance efficiency based on delivery record analysis, which comprises the following steps: step 1: providing an artificial intelligent community internet of things service terminal and a system, and putting garbage after a user logs in through the artificial intelligent community internet of things service terminal and the system; step 2: the garbage data analysis system predicts the weight and the throwing time of garbage to be thrown next time according to the former throwing record after the user throws the garbage, predicts the overflow information of each garbage collection container, wherein the overflow information comprises the full barrel time and the weight of the garbage collection container; step 3: and generating garbage disposal information according to the community map, the garbage collection container and the predicted overflow time, wherein the garbage disposal information comprises a garbage clearing route. The invention has the beneficial effects that: the garbage collection and transportation system can analyze the input records, so that garbage collection and transportation efficiency is improved, and the problems of untimely garbage collection and transportation and the like are solved at low cost.
Description
Technical Field
The invention relates to the technical field of garbage disposal, in particular to a method for improving garbage clearing efficiency based on input record analysis.
Background
At present, the process of garbage disposal at the tail end is difficult to realize accurate time disposal, and aims at the problem that garbage disposal delay or early disposal cause the aspect of preparing a plurality of garbage cans to prepare garbage for random disposal, so that great trouble is caused for garbage classification, and the problem of environmental sanitation is caused.
There are currently two general solutions to this problem:
first, the timing and fixed point garbage throwing is adopted for the problem. However, this solution presents a very inconvenient problem for the residents, since there is no way to take care of the whole population. Some residents may not be able to throw garbage in a specified time, which brings great trouble to the life of the residents.
Secondly, by adopting intelligent equipment and matching an overflow sensor with an intelligent garbage classification supervision system, a weighing sensor is used for informing corresponding clearing personnel in real time, and the method still has an unsatisfactory performance.
Accordingly, the prior art has drawbacks and needs improvement.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, solve the defects that garbage cannot be cleared in time, a clearing vehicle cannot be reasonably scheduled, sanitation work efficiency is low, and labor is excessively consumed at present, obtain the advantages of timely clearing, reasonable scheduling of the clearing vehicle, optimization of overall sanitation efficiency, and higher efficiency, and provides a method for improving garbage clearing efficiency based on input record analysis.
The technical scheme of the invention is as follows: the invention provides a method for improving garbage clearance efficiency based on delivery record analysis, which comprises the following steps: step 1: providing an artificial intelligent community internet of things service terminal and a system, and putting garbage after a user logs in through the artificial intelligent community internet of things service terminal and the system; step 2: the garbage data analysis system predicts the weight and the throwing time of garbage to be thrown next time according to the former throwing record after the user throws the garbage, predicts the overflow information of each garbage collection container, wherein the overflow information comprises the full barrel time and the weight of the garbage collection container; step 3: and generating garbage disposal information according to the community map, the garbage collection container and the predicted overflow time, wherein the garbage disposal information comprises a garbage clearing route.
Further, the garbage throwing weight and garbage throwing time of the user are collected after the user throws garbage, a time average value of multiple intervals is calculated according to the time interval of the user throwing the garbage twice, the garbage throwing time of the next time is predicted, the average value is obtained according to the weight for throwing the garbage multiple times, and the garbage throwing weight of the next time is predicted.
Further, the service terminal includes base platform, organism, rotating assembly, camera and cover body, and the inside control box that is equipped with of service terminal, the inside fixed mounting of control box have the control panel, integrate on the control panel and have treater, memory and communication module.
Further, when the position of the garbage collection container is not fixed, a positioning device is further arranged on the garbage collection container.
Further, when the position of the garbage collection container is fixed, a memory is provided on the garbage collection container and the position information thereof is stored.
Further, the garbage clearance line comprises a first route for the first type of object to be processed and/or a second route for the second type of object to be processed.
Further, when the first route includes the second class of objects to be processed, the second route is generated according to the position related information of the remaining second class of objects to be processed.
Further, a visualized circuit diagram is displayed in the system, and relevant information of the corresponding garbage collection container is marked in real time.
Further, the information about the garbage collection container includes at least one of a status of the garbage collection container, a location of the garbage collection container, a type of garbage loaded by the garbage collection container, or a time at which the garbage collection container is scheduled to be cleaned.
By adopting the scheme, the invention has the beneficial effects that: the garbage collection and transportation system can analyze the input records, so that garbage collection and transportation efficiency is improved, and the problems of untimely garbage collection and transportation and the like are solved at low cost.
Detailed Description
The present invention will be described in detail with reference to specific examples.
The invention provides a method for improving garbage clearance efficiency based on delivery record analysis, which comprises the following steps: step 1: providing an artificial intelligent community internet of things service terminal and a system, and putting garbage after a user logs in through the artificial intelligent community internet of things service terminal and the system; step 2: the garbage data analysis system predicts the weight and the throwing time of garbage to be thrown next time according to the former throwing record after the user throws the garbage, predicts the overflow information of each garbage collection container, wherein the overflow information comprises the full barrel time and the weight of the garbage collection container; step 3: and generating garbage disposal information according to the community map, the garbage collection container and the predicted overflow time, wherein the garbage disposal information comprises a garbage clearing route. Further, the garbage throwing weight and garbage throwing time of the user are collected after the user throws garbage, the time average value of multiple intervals is calculated according to the time interval of the user throwing the garbage twice, the garbage throwing time of the next time is predicted, the average value is obtained according to the weight for throwing the garbage multiple times, and the predicted garbage throwing weight throwing model of the next time can obtain more accurate predicted values along with time and data accumulation.
Further, the service terminal includes base platform, organism, rotating assembly, camera and cover body, and the inside control box that is equipped with of service terminal, the inside fixed mounting of control box have the control panel, integrate on the control panel and have treater, memory and communication module. Specifically, a user can log in the system in a mode of mobile phone number, small program code scanning, card swiping, face recognition and the like, the system sends an instruction to the control panel to open the door, the numerical value on the weighing sensor is read before the door is opened, after the user puts in the system, the control system can read the numerical value on the weighing sensor again, the weight of the current putting in can be calculated according to subtraction of the two numerical values, and the weight is reported to the background putting in prediction system. When the equipment is in a network-free environment, the equipment can be cached locally in a terminal control system and uniformly reported to the system under the condition of the network.
Further, when the position of the garbage collection container is not fixed, a positioning device is further arranged on the garbage collection container.
Further, when the position of the garbage collection container is fixed, a memory is provided on the garbage collection container and the position information thereof is stored.
Further, the garbage clearance line comprises a first route for the first type of object to be processed and/or a second route for the second type of object to be processed.
Further, when the first route includes the second class of objects to be processed, the second route is generated according to the position related information of the remaining second class of objects to be processed.
Further, a visualized circuit diagram is displayed in the system, and relevant information of the corresponding garbage collection container is marked in real time.
Further, the information about the garbage collection container includes at least one of a status of the garbage collection container, a location of the garbage collection container, a type of garbage loaded by the garbage collection container, or a time at which the garbage collection container is scheduled to be cleaned.
In this scheme, can be through predicting each garbage collection container's overflow time and weight, reasonable arrangement vehicle dispatch carries out the rubbish and clears the fortune, can promote the efficiency that the rubbish cleared, also can reduce the untimely condition of rubbish clearance and appear.
In summary, the beneficial effects of the invention are as follows: the garbage collection and transportation system can analyze the input records, so that garbage collection and transportation efficiency is improved, and the problems of untimely garbage collection and transportation and the like are solved at low cost.
The foregoing description of the preferred embodiment of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (9)
1. The method for improving garbage clearance efficiency based on the delivery record analysis is characterized by comprising the following steps of: step 1: providing an artificial intelligent community internet of things service terminal and a system, and putting garbage after a user logs in through the artificial intelligent community internet of things service terminal and the system; step 2: the garbage data analysis system predicts the weight and the throwing time of garbage to be thrown next time according to the former throwing record after the user throws the garbage, predicts the overflow information of each garbage collection container, wherein the overflow information comprises the full barrel time and the weight of the garbage collection container; step 3: and generating garbage disposal information according to the community map, the garbage collection container and the predicted overflow time, wherein the garbage disposal information comprises a garbage clearing route.
2. The method for improving garbage collection efficiency based on garbage collection and analysis according to claim 1, wherein the garbage collection and transportation method is characterized in that the garbage collection weight and garbage collection time of a user are collected after the user puts garbage, a plurality of time interval average values are calculated according to the two time interval of the user, the next garbage collection time is predicted, the average value is obtained according to the weight for repeatedly putting garbage, and the next garbage collection weight is predicted.
3. The method for improving garbage collection efficiency based on delivery record analysis according to claim 1 or 2, wherein the service terminal comprises a base platform, a machine body, a rotating assembly, a camera and a cover body, a control box is arranged in the service terminal, a control board is fixedly arranged in the control box, and a processor, a memory and a communication module are integrated on the control board.
4. A method of improving garbage collection efficiency based on drop record analysis according to claim 3, wherein when the position of the garbage collection container is not fixed, a positioning device is further provided on the garbage collection container.
5. A method of improving garbage collection efficiency based on impression log analysis according to claim 3, wherein when the position of the garbage collection container is fixed, a memory is provided on the garbage collection container and its position information is stored.
6. Method for improving garbage clearance efficiency based on impression-record analysis according to claim 1 or 2, characterized in that the garbage clearance line comprises a first route for a first class of objects to be processed and/or a second route for a second class of objects to be processed.
7. The method for improving garbage collection efficiency based on impression-record analysis according to claim 6, wherein when the first route includes a second type of object to be processed, the second route is generated according to position-related information of the remaining second type of object to be processed.
8. Method for improving garbage collection efficiency based on impression-record analysis according to claim 1 or 2, characterized in that a visualized circuit diagram is presented in the system and the corresponding relevant information of the garbage collection container is marked in real time.
9. The method of improving garbage collection efficiency based on impression-record analysis according to claim 8, wherein the related information of the garbage collection container includes at least one of a state of the garbage collection container, a position of the garbage collection container, a type of garbage loaded by the garbage collection container, or a time for which the garbage collection container is scheduled to be cleaned.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310042831.4A CN116119210A (en) | 2023-01-28 | 2023-01-28 | Method for improving garbage clearance efficiency based on delivery record analysis |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310042831.4A CN116119210A (en) | 2023-01-28 | 2023-01-28 | Method for improving garbage clearance efficiency based on delivery record analysis |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110766261A (en) * | 2019-06-13 | 2020-02-07 | 深圳市思拓通信系统有限公司 | Garbage clearing management method, system, storage medium and control terminal |
| US20210080269A1 (en) * | 2019-09-12 | 2021-03-18 | Lyft, Inc. | Transportation route error detection and adjustment |
| CN113723631A (en) * | 2021-08-24 | 2021-11-30 | 罗家泳 | Garbage classification processing method, system, computer equipment and storage medium |
| CN114476418A (en) * | 2022-02-25 | 2022-05-13 | 北京惠友科技有限公司 | Intelligent garbage treatment method, equipment, medium and computer program product |
| CN114715559A (en) * | 2022-05-26 | 2022-07-08 | 深圳市保洁恒环境产业有限公司 | Wisdom sanitation is with dustbin that has regional locate function |
| CN115330184A (en) * | 2022-08-11 | 2022-11-11 | 广西邦联智能科技有限公司 | Scheduling system and method applied to sanitation integrated intelligent sanitation |
-
2023
- 2023-01-28 CN CN202310042831.4A patent/CN116119210A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110766261A (en) * | 2019-06-13 | 2020-02-07 | 深圳市思拓通信系统有限公司 | Garbage clearing management method, system, storage medium and control terminal |
| US20210080269A1 (en) * | 2019-09-12 | 2021-03-18 | Lyft, Inc. | Transportation route error detection and adjustment |
| CN113723631A (en) * | 2021-08-24 | 2021-11-30 | 罗家泳 | Garbage classification processing method, system, computer equipment and storage medium |
| CN114476418A (en) * | 2022-02-25 | 2022-05-13 | 北京惠友科技有限公司 | Intelligent garbage treatment method, equipment, medium and computer program product |
| CN114715559A (en) * | 2022-05-26 | 2022-07-08 | 深圳市保洁恒环境产业有限公司 | Wisdom sanitation is with dustbin that has regional locate function |
| CN115330184A (en) * | 2022-08-11 | 2022-11-11 | 广西邦联智能科技有限公司 | Scheduling system and method applied to sanitation integrated intelligent sanitation |
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