CN108182495A - The refuse production method for detecting abnormality and system of restaurant unit - Google Patents
The refuse production method for detecting abnormality and system of restaurant unit Download PDFInfo
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- CN108182495A CN108182495A CN201711483791.8A CN201711483791A CN108182495A CN 108182495 A CN108182495 A CN 108182495A CN 201711483791 A CN201711483791 A CN 201711483791A CN 108182495 A CN108182495 A CN 108182495A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
Abstract
The embodiment of the present invention provides a kind of the refuse production method for detecting abnormality and system of restaurant unit, the method includes：Obtain the refuse production prediction model of restaurant unit to be detected；According to the refuse production prediction model, the refuse production forecast interval of the restaurant unit to be detected is obtained；Obtain the practical refuse production of the restaurant unit to be detected；If the practical refuse production is more than the refuse production forecast interval, judge that exception occurs in the refuse production of the restaurant unit to be detected.This method and system can improve the accuracy being detected to the abnormal conditions of restaurant unit refuse production.
Description
Technical field
The present embodiments relate to information technology field more particularly to a kind of refuse production abnormality detections of restaurant unit
Method and system.
Background technology
With the fast development of social economy, city incity restaurant unit is increasing, and each restaurant unit daily can
A large amount of rubbish is generated, adverse effect is brought to the sound development in city.Therefore, the refuse production daily to restaurant unit into
Row detection, and abnormal restaurant unit occur to refuse production and handle, it appears it is particularly necessary.
However, in the prior art, the statistical model of the refuse production daily to restaurant unit is perfect not enough.Even if
After having counted the quantity of refuse that each restaurant unit generates daily, the also specific standard of neither one, to judge different food and drink lists
The refuse production of position causes judging result inaccurate with the presence or absence of exception.
Invention content
For problems of the prior art, it is abnormal that the embodiment of the present invention provides a kind of refuse production of restaurant unit
Detection method and system.
In a first aspect, the embodiment of the present invention provides a kind of refuse production method for detecting abnormality of restaurant unit, the side
Method includes：
Obtain the refuse production prediction model of restaurant unit to be detected；
According to the refuse production prediction model, the refuse production Target area of the restaurant unit to be detected is obtained
Between；
Obtain the practical refuse production of the restaurant unit to be detected；
If the practical refuse production is more than the refuse production forecast interval, the food and drink list to be detected is judged
The refuse production of position occurs abnormal.
Second aspect, the embodiment of the present invention provide a kind of refuse production abnormality detection system of restaurant unit, the system
System includes：
First acquisition module, for obtaining the refuse production prediction model of restaurant unit to be detected；
Prediction module, for according to the refuse production prediction model, obtaining the rubbish of the restaurant unit to be detected
Output forecast section；
Second acquisition module, for obtaining the practical refuse production of the restaurant unit to be detected；
Judgment module if being more than the refuse production forecast interval for the practical refuse production, judges institute
There is exception in the refuse production for stating restaurant unit to be detected.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, and the equipment includes memory and processor, described
Processor and the memory complete mutual communication by bus；The memory, which is stored with, to be performed by the processor
Program instruction, the processor calls described program instruction to be able to carry out the refuse production abnormality detection of above-mentioned restaurant unit
Method.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program,
The computer program realizes the refuse production method for detecting abnormality of above-mentioned restaurant unit when being executed by processor.
The refuse production method for detecting abnormality and system of restaurant unit provided in an embodiment of the present invention, it is to be checked by obtaining
The refuse production prediction model of restaurant unit is surveyed, according to refuse production prediction model, obtains the rubbish of restaurant unit to be detected
Rubbish Output forecast section obtains the practical refuse production of restaurant unit to be detected, if practical refuse production is more than rubbish
Output forecast section then judges that exception occurs in the refuse production of restaurant unit to be detected, can improve to restaurant unit rubbish
The accuracy that the abnormal conditions of rubbish yield are detected.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments, for those of ordinary skill in the art, without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the refuse production method for detecting abnormality flow chart of restaurant unit provided in an embodiment of the present invention；
Fig. 2 is the structure diagram of the refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention；
Fig. 3 is the structure diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment be the present invention
Part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
All other embodiments obtained under the premise of creative work are made, shall fall within the protection scope of the present invention.
Fig. 1 is the refuse production method for detecting abnormality flow chart of restaurant unit provided in an embodiment of the present invention, such as Fig. 1 institutes
Show, the method includes：
Step 10, the refuse production prediction model for obtaining restaurant unit to be detected；
Step 11, according to the refuse production prediction model, obtain the refuse production of the restaurant unit to be detected
Forecast interval；
Step 12, the practical refuse production for obtaining the restaurant unit to be detected；
If step 13, the practical refuse production are more than the refuse production forecast interval, judge described to be checked
There is exception in the refuse production for surveying restaurant unit.
Specifically, the refuse production of a restaurant unit has certain regularity of distribution, this point within certain period
Cloth rule and the scale of restaurant unit have relationship and the residing period related.
Server first from database, can obtain the refuse production prediction model of restaurant unit to be detected, according to
The model predicts refuse production of the restaurant unit to be detected on the day of detection, obtains unit to be detected on the day of detection
Refuse production forecast interval.
Then, server can obtain practical refuse production of the unit to be detected on the day of detection, if practical rubbish
Yield is in refuse production forecast interval, then illustrates that refuse production of the unit to be detected on the day of detection does not occur
It is abnormal；If practical refuse production is more than refuse production forecast interval, then illustrate rubbish of the unit to be detected on the day of detection
Rubbish yield occurs abnormal.
For example, restaurant unit to be detected is denoted as A restaurant units, server can obtain A restaurant units from database
Refuse production prediction model according to the refuse production prediction model of A restaurant units, predicts A restaurant units and works as in detection
It refuse production forecast interval is interval B, and practical rubbish production of the A restaurant units that server is got on the day of detection
Raw amount is C, if C is in interval B, illustrates that exception does not occur in refuse production of the A restaurant units on the day of detection, such as
Fruit C has been more than interval B, then illustrates that exception occurs in refuse production of the A restaurant units on the day of detection.
The refuse production method for detecting abnormality of restaurant unit provided in an embodiment of the present invention, by obtaining food and drink to be detected
The refuse production prediction model of unit, according to refuse production prediction model, the rubbish for obtaining restaurant unit to be detected generates
Forecast interval is measured, obtains the practical refuse production of restaurant unit to be detected, if practical refuse production is more than refuse production
Forecast interval then judges that exception occurs in the refuse production of restaurant unit to be detected, can improve and restaurant unit rubbish is generated
The accuracy that the abnormal conditions of amount are detected.
Optionally, on the basis of above-described embodiment, the method further includes building for the refuse production prediction model
Vertical process, the process of establishing include：
Obtain practical refuse production of the restaurant unit to be detected in history cycle；
According to the practical refuse production in the history cycle, the refuse production prediction model is established.
Specifically, server can obtain practical refuse production of the restaurant unit to be detected in history cycle, for example,
Restaurant unit to be detected is A restaurant units, then in one month before server can obtain A restaurant units on the day of detection
Daily practical refuse production.
Then, the practical refuse production in the history cycle got can be established food and drink list to be detected by server
The refuse production prediction model of position.For example, server can by A restaurant units on the day of detection before one month in reality
Border refuse production, is depicted as a performance graph, the performance graph can reflect A restaurant units on the day of detection before one
The distribution situation of practical refuse production in a month, including：Maximum value, minimum value, the fluctuation range of practical refuse production
And variation tendency, server according to the performance graph, can establish the Municipal Garbage Yield prediction model of A restaurant units, eat with reference to A
The scale of unit is drunk, refuse production of the A restaurant units on the day of detection can be predicted.
The refuse production method for detecting abnormality of restaurant unit provided in an embodiment of the present invention, by obtaining food and drink to be detected
Practical refuse production of the unit in history cycle, according to the practical refuse production in history cycle, establishes meal to be detected
Drink the refuse production prediction model of unit so that the method more science.
Optionally, it is described according to the refuse production prediction model on the basis of above-described embodiment, obtain described treat
The refuse production forecast interval of restaurant unit is detected, including：
According to the refuse production prediction model, the prediction of the refuse production of the restaurant unit to be detected is obtained
Value；
According to the predicted value of the refuse production and the maximum deflection difference value of preset refuse production, obtain described to be checked
Survey the refuse production forecast interval of restaurant unit.
Specifically, server can be according to the refuse production prediction model of restaurant unit to be detected, to food and drink to be detected
Refuse production of the unit on the day of detection is predicted, it is pre- to obtain refuse production of the restaurant unit to be detected on the day of detection
Measured value.Server according to actual conditions, can preset the maximum deflection difference value of a refuse production, further according to meal to be detected
The predicted value of refuse production of unit and the maximum deflection difference value of refuse production are drunk, obtains the rubbish production of restaurant unit to be detected
Raw amount forecast interval.
For example, the A restaurant units of restaurant unit to be detected, server is predicted according to the refuse production of A restaurant units
The predicted value of refuse production of the A restaurant units on the day of detection is calculated as A1, the preset A food and drink list of server in model
The maximum deflection difference value of the refuse production of position is A2, then the refuse production forecast interval of A restaurant units can be denoted as：(A1-
A2, A1+A2).
The refuse production method for detecting abnormality of restaurant unit provided in an embodiment of the present invention, by according to food and drink to be detected
The refuse production prediction model of unit, obtains the predicted value of the refuse production of restaurant unit to be detected, is generated according to rubbish
The maximum deflection difference value of the predicted value of amount and preset refuse production obtains the refuse production Target area of restaurant unit to be detected
Between so that the method more science.
Optionally, on the basis of above-described embodiment, the method further includes：
If exception occurs in the refuse production of the restaurant unit to be detected, alarm is sent out, with the related inspection people of notice
Member goes to the restaurant unit to be detected to carry out abnormality processing.
If server knows restaurant unit to be detected on the day of detection according to the method described in above-described embodiment, judgement
Refuse production occur abnormal, then can send out alarm, which can notify relevant inspector to go to food and drink to be detected
Unit is verified, and abnormal conditions are handled.Server can also receive inspector and be sent out by intelligent terminals such as mobile phones
The handling result brought, and warning information and handling result are preserved in the database.
The refuse production method for detecting abnormality of restaurant unit provided in an embodiment of the present invention, if restaurant unit to be detected
There is exception in refuse production, then sends out alarm, and with notice, related inspector goes to restaurant unit to be detected to carry out exception
Reason so that the method more science.
Optionally, on the basis of above-described embodiment, the practical refuse production of the restaurant unit to be detected is from rubbish
What the vehicle-mounted hardware device on rubbish vehicle sended over；Wherein, the garbage truck is to load the restaurant unit to be detected to generate
The garbage truck of rubbish.
Specifically, practical refuse production of the restaurant unit to be detected that server is got on the day of detection, Ke Yishi
What the vehicle-mounted hardware device on garbage truck sended over.The garbage truck refers to that load restaurant unit to be detected generates on the day of detection
Rubbish garbage truck, the weight of the rubbish of loading can pass through wireless transmission method by the vehicle-mounted hardware device of the garbage truck
It is sent to server.
The refuse production method for detecting abnormality of restaurant unit provided in an embodiment of the present invention, by from the vehicle on garbage truck
Carry the practical refuse production that hardware device obtains restaurant unit to be detected so that the method more science.
Fig. 2 is the structure diagram of the refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention,
As shown in Fig. 2, the system comprises：First acquisition module 20, prediction module 21, the second acquisition module 22 and judgment module 23,
Wherein：
First acquisition module 20 is used to obtain the refuse production prediction model of restaurant unit to be detected；Prediction module 21 is used
According to the refuse production prediction model, the refuse production forecast interval of the restaurant unit to be detected is obtained；Second
Acquisition module 22 is used to obtain the practical refuse production of the restaurant unit to be detected；If judgment module 23 is used for the reality
Refuse production is more than the refuse production forecast interval, then judges that the refuse production of the restaurant unit to be detected occurs
It is abnormal.
Specifically, the refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention, can include：The
One acquisition module 20, prediction module 21, the second acquisition module 22 and judgment module 23.
First acquisition module 20 from database, can obtain the refuse production prediction model of restaurant unit to be detected,
Prediction module 21 can be predicted refuse production of the restaurant unit to be detected on the day of detection according to the model, obtains and treats
Detect refuse production forecast interval of the unit on the day of detection.
Second acquisition module 22 can obtain practical refuse production of the unit to be detected on the day of detection, if it is determined that mould
Block 23 knows that practical refuse production is in refuse production forecast interval, then unit to be detected is on the day of detection through judging
Refuse production there is not exception；If it is determined that module 23 knows that practical refuse production is generated more than rubbish through judging
Forecast interval is measured, then refuse production of the unit to be detected on the day of detection occurs abnormal.
For example, restaurant unit to be detected is denoted as A restaurant units, the first acquisition module 20 can obtain A meal from database
The refuse production prediction model of unit is drunk, prediction module 21 can be according to the refuse production prediction model of A restaurant units, in advance
Refuse production forecast interval of the A restaurant units on the day of detection is measured, which can be denoted as interval B, the second acquisition module
Practical refuse production of the 22 A restaurant units that can be got on the day of detection, the practical refuse production can be denoted as C,
If it is determined that module 23 knows that C is in interval B, then refuse production of the A restaurant units on the day of detection does not go out through judging
Now abnormal, if it is determined that module 23 knows that C has been more than interval B through judging, then rubbish of the A restaurant units on the day of detection generates
There is exception in amount.
The refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention, function is referring in particular to above-mentioned
Embodiment of the method, details are not described herein again.
The refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention, by obtaining food and drink to be detected
The refuse production prediction model of unit, according to refuse production prediction model, the rubbish for obtaining restaurant unit to be detected generates
Forecast interval is measured, obtains the practical refuse production of restaurant unit to be detected, if practical refuse production is more than refuse production
Forecast interval then judges that exception occurs in the refuse production of restaurant unit to be detected, can improve and restaurant unit rubbish is generated
The accuracy that the abnormal conditions of amount are detected.
Optionally, on the basis of above-described embodiment, the system comprises：First acquisition module, prediction module, second are obtained
Modulus block judges mould and model building module, wherein：
Model building module is used to obtain practical refuse production of the restaurant unit to be detected in history cycle, and
According to the practical refuse production in the history cycle, the refuse production prediction model is established.
Specifically, the refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention, can include：The
One acquisition module, prediction module, the second acquisition module, judgment module and model building module.Wherein, described first mould is obtained
Block, the prediction module, second acquisition module and the judgment module, are described in detail, herein in the above-described embodiments
It repeats no more.
Model building module can obtain practical refuse production of the restaurant unit to be detected in history cycle, for example,
Restaurant unit to be detected be A restaurant units, then one before model building module can obtain A restaurant units on the day of detection
Daily practical refuse production in a month.
Model building module can also establish meal to be detected according to the practical refuse production in the history cycle got
Drink the refuse production prediction model of unit.For example, model building module can by A restaurant units on the day of detection before one
Practical refuse production in a month, is depicted as a performance graph, which can reflect that A restaurant units are worked as in detection
The distribution situation of practical refuse production in one month before it, including：Maximum value, the minimum of practical refuse production
Value, fluctuation range and variation tendency.Model building module according to the performance graph, can establish the rubbish production of A restaurant units
Prediction model is measured, refuse production of the A restaurant units on the day of detection is predicted.
The refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention, by obtaining food and drink to be detected
Practical refuse production of the unit in history cycle, according to the practical refuse production in history cycle, establishes meal to be detected
Drink the refuse production prediction model of unit so that the system more science.
Optionally, on the basis of above-described embodiment, the prediction module includes：First computational submodule and second calculates
Submodule, wherein：
First computational submodule is used for according to the refuse production prediction model, obtains the restaurant unit to be detected
The predicted value of refuse production；Second computational submodule is used to be produced according to the predicted value of the refuse production and preset rubbish
The maximum deflection difference value of raw amount, obtains the refuse production forecast interval of the restaurant unit to be detected.
Specifically, the prediction module described in above-described embodiment, can include：First computational submodule and second calculates son
Module.
First computational submodule can be according to the refuse production prediction model of restaurant unit to be detected, to food and drink to be detected
Refuse production of the unit on the day of detection is predicted, it is pre- to obtain refuse production of the restaurant unit to be detected on the day of detection
Measured value.Second computational submodule according to actual conditions, can preset the maximum deflection difference value of a refuse production, then and second
Computational submodule can according to the predicted value of the refuse production of restaurant unit to be detected and the maximum deflection difference value of refuse production,
Obtain the refuse production forecast interval of restaurant unit to be detected.
For example, the A restaurant units of restaurant unit to be detected, the first computational submodule is produced according to the rubbish of A restaurant units
Raw amount prediction model, the predicted value that refuse production of the A restaurant units on the day of detection is calculated are A1, and second calculates submodule
The maximum deflection difference value of the refuse production of the preset A restaurant units of block is the refuse production forecast interval of A2, then A restaurant units
It can be denoted as：(A1-A2, A1+A2).
The refuse production abnormality detection system of restaurant unit provided in an embodiment of the present invention, by according to food and drink to be detected
The refuse production prediction model of unit, obtains the predicted value of the refuse production of restaurant unit to be detected, is generated according to rubbish
The maximum deflection difference value of the predicted value of amount and preset refuse production obtains the refuse production Target area of restaurant unit to be detected
Between so that the system more science.
Fig. 3 is the structure diagram of electronic equipment provided in an embodiment of the present invention, as shown in figure 3, the equipment includes：Place
Device (processor) 31, memory (memory) 32 and bus 33 are managed, wherein：
The processor 31 and the memory 32 complete mutual communication by the bus 33；The processor 31
For calling the program instruction in the memory 32, to perform the method that above-mentioned each method embodiment is provided, such as including：
Obtain the refuse production prediction model of restaurant unit to be detected；According to the refuse production prediction model, described treat is obtained
Detect the refuse production forecast interval of restaurant unit；Obtain the practical refuse production of the restaurant unit to be detected；If institute
Practical refuse production is stated more than the refuse production forecast interval, then judges that the rubbish of the restaurant unit to be detected generates
Amount occurs abnormal.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product includes being stored in non-transient
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer performs, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including：Obtain meal to be detected
Drink the refuse production prediction model of unit；According to the refuse production prediction model, the restaurant unit to be detected is obtained
Refuse production forecast interval；Obtain the practical refuse production of the restaurant unit to be detected；If the practical rubbish production
Raw amount is more than the refuse production forecast interval, then judges that exception occurs in the refuse production of the restaurant unit to be detected.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium storing program for executing, the non-transient computer readable storage
Medium storing computer instructs, and the computer instruction makes the computer perform the side that above-mentioned each method embodiment is provided
Method, such as including：Obtain the refuse production prediction model of restaurant unit to be detected；Mould is predicted according to the refuse production
Type obtains the refuse production forecast interval of the restaurant unit to be detected；Obtain the practical rubbish of the restaurant unit to be detected
Rubbish yield；If the practical refuse production is more than the refuse production forecast interval, the food and drink to be detected is judged
The refuse production of unit occurs abnormal.
The embodiments such as electronic equipment described above are only schematical, illustrate wherein described as separating component
Unit may or may not be physically separate, and the component shown as unit may or may not be object
Manage unit, you can be located at a place or can also be distributed in multiple network element.It can select according to the actual needs
Some or all of module therein is selected to realize the purpose of this embodiment scheme.Those of ordinary skill in the art are not paying wound
In the case of the labour for the property made, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and (can be personal computer, server or the network equipment etc.) so that computer equipment is used to perform each implementation
Method described in certain parts of example or embodiment.
Finally it should be noted that：The above various embodiments is only to illustrate the technical solution of the embodiment of the present invention rather than right
It is limited；Although the embodiment of the present invention is described in detail with reference to foregoing embodiments, the ordinary skill of this field
Personnel should understand that：It can still modify to the technical solution recorded in foregoing embodiments or to which part
Or all technical features carries out equivalent replacement；And these modifications or replacement, it does not separate the essence of the corresponding technical solution
The range of each embodiment technical solution of the embodiment of the present invention.
Claims (10)
1. a kind of refuse production method for detecting abnormality of restaurant unit, which is characterized in that including：
Obtain the refuse production prediction model of restaurant unit to be detected；
According to the refuse production prediction model, the refuse production forecast interval of the restaurant unit to be detected is obtained；
Obtain the practical refuse production of the restaurant unit to be detected；
If the practical refuse production is more than the refuse production forecast interval, the restaurant unit to be detected is judged
Refuse production occurs abnormal.
2. according to the method described in claim 1, it is characterized in that, further include the foundation of the refuse production prediction model
Journey, the process of establishing include：
Obtain practical refuse production of the restaurant unit to be detected in history cycle；
According to the practical refuse production in the history cycle, the refuse production prediction model is established.
3. according to the method described in claim 1, it is characterized in that, described according to the refuse production prediction model, obtain
The refuse production forecast interval of the restaurant unit to be detected, including：
According to the refuse production prediction model, the predicted value of the refuse production of the restaurant unit to be detected is obtained；
According to the predicted value of the refuse production and the maximum deflection difference value of preset refuse production, the meal to be detected is obtained
Drink the refuse production forecast interval of unit.
4. it according to the method described in claim 1, it is characterized in that, further includes：
If exception occurs in the refuse production of the restaurant unit to be detected, alarm is sent out, before the related inspector of notice
Abnormality processing is carried out toward the restaurant unit to be detected.
5. according to the method described in claim 1, it is characterized in that, the practical refuse production of the restaurant unit to be detected,
It is to be sended over from the vehicle-mounted hardware device on garbage truck；Wherein, the garbage truck is loads the restaurant unit to be detected
The garbage truck of the rubbish of generation.
6. a kind of refuse production abnormality detection system of restaurant unit, which is characterized in that including：
First acquisition module, for obtaining the refuse production prediction model of restaurant unit to be detected；
Prediction module, for according to the refuse production prediction model, the rubbish for obtaining the restaurant unit to be detected to generate
Measure forecast interval；
Second acquisition module, for obtaining the practical refuse production of the restaurant unit to be detected；
Judgment module if being more than the refuse production forecast interval for the practical refuse production, is treated described in judgement
There is exception in the refuse production for detecting restaurant unit.
7. system according to claim 6, which is characterized in that further include：
Model building module, for obtaining practical refuse production of the restaurant unit to be detected in history cycle, and root
According to the practical refuse production in the history cycle, the refuse production prediction model is established.
8. system according to claim 6, which is characterized in that the prediction module includes：
First computational submodule, for according to the refuse production prediction model, obtaining the rubbish of the restaurant unit to be detected
The predicted value of rubbish yield；
Second computational submodule, for the predicted value according to the refuse production and the maximum deviation of preset refuse production
Value, obtains the refuse production forecast interval of the restaurant unit to be detected.
9. a kind of electronic equipment, which is characterized in that including memory and processor, the processor and the memory pass through total
Line completes mutual communication；The memory is stored with the program instruction that can be performed by the processor, the processor tune
The method as described in claim 1 to 5 is any is able to carry out with described program instruction.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The method as described in claim 1 to 5 is any is realized when processor performs.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111950792A (en) * | 2020-08-14 | 2020-11-17 | 杭州海康威视系统技术有限公司 | Garbage total amount prediction method, device, equipment and storage medium |
| CN113139015A (en) * | 2021-04-16 | 2021-07-20 | 广州大学 | Method, system, device and medium for processing household garbage energy spatial distribution information |
| CN113379569A (en) * | 2021-06-09 | 2021-09-10 | 华南理工大学 | Method, system, device and medium for drawing refined production and discharge map of food waste |
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| CN113139015B (en) * | 2021-04-16 | 2024-03-22 | 广州大学 | Household garbage energy space distribution information processing method, system, device and medium |
| CN113379569A (en) * | 2021-06-09 | 2021-09-10 | 华南理工大学 | Method, system, device and medium for drawing refined production and discharge map of food waste |
| CN113379569B (en) * | 2021-06-09 | 2022-10-21 | 华南理工大学 | Method, system, device and medium for drawing refined production and discharge map of food waste |
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Application publication date: 20180619 |