AU2021100234A4 - Tobacco insect forewarning and feedback system - Google Patents
Tobacco insect forewarning and feedback system Download PDFInfo
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- AU2021100234A4 AU2021100234A4 AU2021100234A AU2021100234A AU2021100234A4 AU 2021100234 A4 AU2021100234 A4 AU 2021100234A4 AU 2021100234 A AU2021100234 A AU 2021100234A AU 2021100234 A AU2021100234 A AU 2021100234A AU 2021100234 A4 AU2021100234 A4 AU 2021100234A4
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
- A01M1/02—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects
- A01M1/026—Stationary means for catching or killing insects with devices or substances, e.g. food, pheronones attracting the insects combined with devices for monitoring insect presence, e.g. termites
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
- A01M1/10—Catching insects by using Traps
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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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Abstract
A tobacco insect forewarning and feedback system, comprising: a tobacco insect
detection unit, an insect situation statistical unit; a tobacco insect growth forecasting
unit; an wormhole information database unit; an abnormal detection point early
warning unit; and an wormhole forecasting unit. The invention uses an intelligent
analysis model to establish a tobacco insect information feedback system capable of
in-depth analysis, forecasting, and early warning. The system has the functions of
tobacco insect production curve analysis and forecasting, insect source location, and
potential abnormal point forecasting, which can accurately determine the growth
situation of tobacco insects at the detection points, alarm the detection points where
the tobacco insects grow continuously, and automatically determine the device where
the wormholes are located, for management personnel to orient and verify the points
in need of deinsectization, thus reducing maintenance workload and achieving a good
maintenance effect.
Description
Technical Field
The present invention relates to the tobacco industry, and in particular to a
tobacco insect early warning and feedback system for the statistics, analysis and
forecasting of the tobacco insect quantity at the production site, and the result is used
as an early warning to guide the deinsectization work of cigarette workshops.
Background
As a kind of smokable food, the quality of cigarettes has always been the focus
of consumers. If cigarettes are contaminated by tobacco insects during the production
stage, the quality of cigarettes will be greatly reduced, because the cigarettes polluted
by the corpses, eggs, feces and filaments of tobacco insects will cause a foul smell
after smoking, affecting consumers' favorability of the brand. In addition, the poor
appearance of insect-eaten cigarettes makes the products less attractive to consumers.
The current prevention and control process for tobacco insects in workshop is to
set up tobacco insect detection points, set the upper limit of the number of tobacco
insect at a single detection point, perform manual counting, count the detection sites
where the number of tobacco insects exceeds the upper limit, and perform
deinsectization for the device near the detection point.
The invention application with a publication number of CN110414637A
discloses a tobacco insect situation monitoring system, including an insect situation
server, a collection client terminal and a monitoring client terminal that communicate
via network connection. A plurality of insect traps is disposed at different positions in
a monitoring area; and each insect trap is provided with an RFID electronic tag that
records the location information of the corresponding insect trap. The collection client
terminal is configured to collect information about the locations of the traps and insect
situation, while the insect situation server is configured to analyze the distribution of
the insect situation at a single point or an area. The statistics about insect situation
distribution output by the insect situation server can be displayed to the client user through the monitoring client terminal. The invention uses RFID technology to record tobacco insect information at each monitoring point, and displays the tobacco insect distribution situation, which can improve the efficiency of tobacco insect monitoring and is beneficial to guide the tobacco insect control work.
The invention application with a publication number of CN109213800A
discloses a tobacco insect situation prediction method and system, wherein the
obtained data is preprocessed; a time series analysis model is constructed to form a
tobacco insect prediction model; and the insect situation sequence pattern is analyzed
to obtain prediction results. The invention can develop technologies based on
sequence pattern, identify frequent models, and predict the number of insects.
The existing methods do not involve an in-depth analysis process, resulting in a
waste of resources or some insect sources are not found. In addition, the methods are
lack of early warning system, cannot detect potential abnormal points.
Summary of the Invention
The present discloure provides a tobacco insect forewarning and feedback
system,which can overcome the above-mentioned shortcomings in the prior art.
The present invention is intended to use an intelligent analysis model to
establish a tobacco insect information feedback system capable of in-depth analysis,
forecasting, and early warning. The system has the functions of tobacco insect
production curve analysis and forecasting, insect source location, and potential
abnormal point forecasting.
The technical solution adopted in the present invention is as follows:
A tobacco insect forewarning and feedback system, comprising:
a tobacco insect detection unit, comprising a plurality of detection points
arranged regularly throughout a workshop and tobacco insect traps set on each of the
detection points;
an insect situation statistical unit, configured to regularly count the number of
tobacco insects at each detection point on basis of the tobacco insect detection unit;
a tobacco insect growth forecasting unit, comprising a tobacco insect growth
forecasting model constructed based on an usher model and configured to draw and predict a tobacco insect quantity growth curve of each detection point based on the insect situation statistical unit; an wormhole information database unit, formed by counting wormholes of each device in the workshop through on-site inspection, and associating the wormhole information with detection points at corresponding positions; an abnormal detection point early warning unit, configured to provide, based on the tobacco insect growth forecasting unit, early warning to detection points where the tobacco insect quantity growth curve is in a logarithmic growth period or a stable growth period; and an wormhole forecasting unit, configured to automatically display, based on the early warning information of the abnormal detection point early warning unit, device information and wormhole information associated with the abnormal detection point for management personnel to refer to, verify points in need of deinsectization , and organize maintenance. As an improvement of the above technical solution, the model formula of the dy a I_ y~ tobacco insect growth forecasting model is:ydt b T ; where, y represents model parameter; a represents growth rate factor; b represents shape factor; ym represents limit value. In further embodiments of the above technical solution, the insect situation statistical unit counts the number of tobacco insects at each detection point every two days based on the tobacco insect detection unit. In further embodiments of the above technical solution, the tobacco insect early warning and feedback system further comprises an insect situation feedback unit, which continuously monitors the insect situation of an abnormal detection point, and based on the tobacco insect growth forecasting unit, draws a tobacco insect quantity growth curve at the detection point after maintenance to check the maintenance effect.
In further embodiments of the above technical solution, each device wormhole in the wormhole information database is associated with a maintenance personnel list. In further embodiments of the above technical solution, the tobacco insect detection unit is provided with 84 detection points throughout the workshop, each detection point is provided with a tobacco insect trap, and the tobacco insect traps are numbered, wherein the detection points are set according to a certain rule to spread across the entire workshop to ensure full coverage of the production environment. The beneficial effects brought by the present invention are as follows: The present invention can accurately determine the growth situation of tobacco insects at the detection points, alarm the detection points where the tobacco insects grow continuously, and automatically determine the device where the wormholes are located, so that management personnel can orient and verify the points in need of deinsectization, thus reducing maintenance workload and achieving a good maintenance effect. Brief Description of Figures The present invention will be further described with reference to the accompanying drawings and specific embodiments. FIG. 1 shows a system block diagram of the tobacco insect forewarning and feedback system of the present discloure; FIG. 2 shows a flowchart of Embodiment 2; FIG. 3 shows a tobacco insect quantity growth curve of the detection pointcl-10 in Embodiment 2. Detailed Description The technical solutions in the embodiments of the present invention will be described clearly and completely below in connection with the drawings in the embodiments of the present invention, and it will be apparent that the embodiments described here are merely a part, not all of the embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
In the present invention, unless explicitly stated and defined otherwise, the terms "arranged", "installed", "connected with", "connected", "fixed" and the like shall be
understood broadly; for example, it may be either "fixedly connected" or "removably connected"; it may be "mechanically connected"; it may be "directly connected" or "indirectly connected through an intermediate medium". For those skilled in the art, the specific meanings of the above term in the present invention could be understood according to the specific conditions. Embodiment 1 Referring to FIG. 1, this embodiment discloses a tobacco insect early warning and feedback system, comprising: a tobacco insect detection unit, comprising 84 detection points arranged throughout a workshop, wherein a tobacco insect trap is arranged at each detection point, and the tobacco insect traps are numbered, wherein the detection points are set according to a certain rule, such as at equal intervals, or according to the location/density of devices, so as to spread across the entire workshop to ensure full coverage of the production environment; an insect situation statistical unit, configured to regularly count the number of tobacco insects at each detection point on basis of the tobacco insect detection unit, for example, count the number of tobacco insects at each detection point every two days; a tobacco insect growth forecasting unit, comprising a tobacco insect growth forecasting model The appreciate model for the present application should be a growth model, the growth models include: a Logistic model, a Gompertz model and an Usher model, these models are appreciate because tobacco insect growth pattern falls within a typical growth model category. Further, the Usher model is selected as the growth forecasting model in some embodiments. Tobacco insect growth is subject to many factors, such as temperature, environmental humidity, and seasonal, and the Usher model is much more applicable: that is, the tobacco insect growth forecasting model is constructed based on an Usher model and configured to draw and predict a tobacco insect quantity growth curve of each detection point based on the insect situation statistical unit; an wormhole information database unit, formed by counting wormholes of each device in the workshop through on-site inspection, and associating the wormhole information with detection points at corresponding positions, meanwhile, each device wormhole in the wormhole information database is associated with a maintenance personnel list; an abnormal detection point early warning unit, configured to provide, based on the tobacco insect growth forecasting unit, early warning to detection points where the tobacco insect quantity growth curve is in a logarithmic growth period or a stable growth period; and an wormhole forecasting unit, configured to automatically display, based on the early warning information of the abnormal detection point early warning unit, device information and wormhole information associated with the abnormal detection point for management personnel to refer to, verify points in need of deinsectization, and organize maintenance. Further, the model formula of the tobacco insect growth forecasting model is: dy a I__ ydt b Y( where, y represents model parameter; a represents growth rate factor; b represents shape factor; ym represents limit value. By separating the variables of formula (1), the following formula is obtained
In (y/y,)b = -a+ cl Yrn (2) Where ci represents the integral constant. From formula (2), the general solution of formula (1) is
Y' y = 1+c 2 Ye (3)
Since formula (3) has the constant c2 , it cannot fully reflect the rule of development. The constant can be determined by an initial condition. By substituting
the initial condition y(O)= yo into formula (3), the following formula is obtained:
c2 (ym / YO) b ym
By substitutingc 2 into formula (3), the following formula is obtained:
y=Y
where yo represents an initial value.
Ifc=(y0 /ymb ~1,then formula (2) can be simplified as
y= " + ce-a (5) (5) From formula (5), it can be seen that when too, y-ym, it can describes the
growth characteristics of y with time t. Since the change of the tobacco insect
reproduction rate with time is also a type of growth curve, so the number of tobacco
insects can be expressed as
S = sm (+ ce-at) (6)
where, s represents the number of tobacco insects, sm is the final number of tobacco insects, and t represents time (d). There is a maximum growth rate in formula (6), that is, there is an inflection
point appearing at sm(2b -b , and the value of the inflection point will change with
sm and b, so it has a certain flexibility, so that the Usher model can get a higher fitting
accuracy.
Formula (1) is rewritten as
=s M_(1+ s c)F _ -I 1 1 (i+c)b (i+ce (1+ c)( Formula (7) is differentiated with t to obtain the instantaneous settlement expressed as
ds abc(1+ c)b e dt " (1+c) -1 (1+ ce atY(8)
Formula (7) and formula (8) are combined to obtain
(1+c)b 1s S+ 1 1 |1 s =s abc(1+ e(~ c)be a (1+c)b (1+c)b] t ' (1+ c)b -1 sM (9) where st represents the value of the settlement at time t. By taking the logarithm of both ends of formula (7), the following formula is obtained:
ln(s)= A + Bln +-| -Dt IC s,, C] (10) where:
A= ln s Fabc(1+ c)bl]| : B= b+1 ; C=1+c; D=a (11) L (1+ c)b 1] b
The parameters of formula (10) are calculated by a repeated binary regression method, that is, different sm and C are given to perform binary regression on formula (10) until the conditions are met. If there are multiple solutions, the iteration accuracy is increased until the unique solution is reached. Then the parameters a, b, and c are calculated according to formula (11). Because tobacco insect traps are replaced every 7 days, the maximum value of the trap cl-10 is 15 insects based on the history (each trap has different constants a, b, and c, the trap cl-10 is described as an example). The following is the tobacco insect forecasting model at this location: Usher model: 33 s =15 /(1+98.49e-°o
where e=2.718281828459.
Based on the above-mentioned tobacco insect growth forecasting model, data analysis is performed, the tobacco insect growth curve is automatically drawn, the tobacco insect growth stage is determined, an abnormal detection point is warned, and the abnormality of the detection point is predicted. Furthermore, the tobacco insect early warning and feedback system further comprises an insect situation feedback unit, which continuously monitors the insect situation of the abnormal detection point, and based on the tobacco insect growth forecasting unit, draws a tobacco insect quantity growth curve at the detection point after maintenance to check and feedback the maintenance effect. Embodiment 2 The tobacco insect early warning feedback system of Embodiment 1 is applied to the loose moisture regaining machine section of the workshop for tobacco insect early warning. Referring to FIG. 2, its implementation process comprises the following steps: 1. Technicians making statistics on the number of tobacco insects (insect situation) at the site detection points; 2. Inputting statistical data; 3. Based on the tobacco insect growth forecasting model, performing data analysis and automatically drawing the tobacco insect growth curve at each detection point, FIG. 3 is the tobacco insect quantity growth curve of the detection pointcl-10; 4. Determining the growth stage of tobacco insects, wherein as can be seen from the curve in FIG. 3, the recent growth of tobacco insects at the detection point cl-10 has entered a stable growth period, and the insect situation is serious; 5. Alarming for abnormal detection point: the system gives early warning to the detection point cl-10; 6. Prompting wormholes for an abnormal device: predicting the abnormality of the detection point cl-10. Table 1 shows the forecasting information of the detection point cl-10: Table 1 Abnormality forecasting for detection pointcl-10
Device Abnormal Abnormal Abnormal Abnormal Abnormal
name point 1 point 2 point 3 point 4 point 5
Loose Lifting belt Quantitative Moisture Under the Under the
moisture bottom tube of removing roller discharge
regaining plate of electronic tube vibration
machine feeder scale trough
7. Organizing maintenance: formulate a maintenance plan, as shown in Table 2:
Table 2 Maintenance list
Maintenance point Responsible person
1 Lifting belt bottom plate of xx feeder
2 Quantitative tube of xx electronic scale
3 Moisture removing tube XX
4 Under the roller XX
5 Under the discharge xx vibration trough
8. Checking and feeding back the maintenance effect.
Finally, it should be noted that the above are only the preferred embodiments of
the present invention and are not intended to limit the present invention. Although the
present invention has been described in detail with reference to the foregoing
embodiments, for those skilled in the art, they can still modify the technical solutions
recorded in the foregoing embodiments, or equivalently replace some of the technical
features. Any modification, equivalent replacement, improvement, etc., made within
the spirit and principle of the present invention should be included in the protection
scope of the present invention.
Claims (6)
1. A tobacco insect forewarning and feedback system, comprising: a tobacco insect detection unit, comprising a multitude of detection points arranged throughout a workshop and tobacco insect traps set on each of the detection points; an insect situation statistical unit, configured to regularly count the number of tobacco insects at each detection point on basis of the tobacco insect detection unit; a tobacco insect growth forecasting unit, comprising a tobacco insect growth forecasting model constructed based on an Usher model and configured to draw and predict a tobacco insect quantity growth curve of each detection point based on the insect situation statistical unit; an wormhole information database unit, formed by obtaining data of wormholes of each device in the workshop through on-site inspection, and associating the data with detection points at corresponding positions; an abnormal detection point early warning unit, configured to provide, based on the tobacco insect growth forecasting unit, early warning to detection points where the tobacco insect quantity growth curve is in a logarithmic growth period and a stable growth period; and an wormhole forecasting unit, configured to automatically display, based on the early warning information of the abnormal detection point early warning unit, device information and wormhole information associated with the abnormal detection point for management personnel to refer to, verify points in need of deinsectization, and organize maintenance.
2. The tobacco insect forewarning and feedback system according to claim 1, wherein, a model formula of the tobacco insect growth forecasting model is:
dy a _y
ydt b ym where, y represents model parameter; a represents growth rate factor; b represents shape factor; ym represents limit value.
3. The tobacco insect forewarning and feedback system according to claim 1, wherein, the insect situation statistical unit counts the number of tobacco insects at each detection point every two days based on the tobacco insect detection unit.
4. The tobacco insect forewarning and feedback system according to claim 1, wherein, the tobacco insect early warning and feedback system further comprises an insect situation feedback unit, the insect situation feedback unit continuously monitors the insect situation of an abnormal detection point, and based on the tobacco insect growth forecasting unit, draws a tobacco insect quantity growth curve at the detection point after maintenance to check the maintenance effect.
5. The tobacco insect forewarning and feedback system according to claim 1, wherein, each device in the wormhole information database is associated with a maintenance personnel list.
6. The tobacco insect forewarning and feedback system according to claim 1, wherein, the tobacco insect detection unit is provided with 84 detection points throughout the workshop, each detection point is provided with the tobacco insect trap, and the tobacco insect traps are numbered, the detection points are set to spread across the entire workshop to ensure full coverage of the production environment.
insect situation feedback unit wormhole forecasting unit abnormal detection point tobacco insect forewarning and
forewarning unit feedback system
wormhole information database unit
Fig. 1 1/3
insect growth forecasting unit insect situation statistical unit tobacco insect detection unit 14 Jan 2021 2021100234
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| CN2020108752577 | 2020-08-27 | ||
| CN202010875257.7A CN112167201A (en) | 2020-08-27 | 2020-08-27 | Tobacco worm early warning feedback system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11967182B2 (en) | 2022-03-03 | 2024-04-23 | Shihezi University | Intelligent analysis system applied to ethology of various kinds of high-density minimal polypides |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113067864A (en) * | 2021-03-18 | 2021-07-02 | 中电智能技术南京有限公司 | Artificial intelligence cigarette worm identification system based on thing networking |
| CN113034487A (en) * | 2021-04-12 | 2021-06-25 | 河南中烟工业有限责任公司 | Tobacco worm early warning method and system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006050961A (en) * | 2004-08-12 | 2006-02-23 | Sumitomo Chemical Co Ltd | Method for proposing insect pest control system in protected cultivation greenhouse reducing amount of applied chemically synthesized insecticidally active compound |
| CN105991688A (en) * | 2015-02-03 | 2016-10-05 | 中贮（上海）机电设备有限公司 | Insect condition monitoring system and method |
| CN210248088U (en) * | 2019-05-10 | 2020-04-07 | 浙江百诺环境管理服务有限公司 | Prevention and cure device for harmful organism |
| CN110414637A (en) * | 2019-07-12 | 2019-11-05 | 浙江中烟工业有限责任公司 | A kind of tobacco insect pest situation monitoring system |
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Cited By (1)
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|---|---|---|---|---|
| US11967182B2 (en) | 2022-03-03 | 2024-04-23 | Shihezi University | Intelligent analysis system applied to ethology of various kinds of high-density minimal polypides |
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