CN111736555A - Global insect condition monitoring system and design method thereof - Google Patents

Global insect condition monitoring system and design method thereof Download PDF

Info

Publication number
CN111736555A
CN111736555A CN202010588421.6A CN202010588421A CN111736555A CN 111736555 A CN111736555 A CN 111736555A CN 202010588421 A CN202010588421 A CN 202010588421A CN 111736555 A CN111736555 A CN 111736555A
Authority
CN
China
Prior art keywords
insect
global
monitoring system
condition
situation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010588421.6A
Other languages
Chinese (zh)
Other versions
CN111736555B (en
Inventor
韩少龙
王尚荣
胡良彬
韩志康
杜斌
张进鸿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hebei Baisha Tobacco Co Ltd
Original Assignee
Hebei Baisha Tobacco Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hebei Baisha Tobacco Co Ltd filed Critical Hebei Baisha Tobacco Co Ltd
Priority to CN202010588421.6A priority Critical patent/CN111736555B/en
Publication of CN111736555A publication Critical patent/CN111736555A/en
Application granted granted Critical
Publication of CN111736555B publication Critical patent/CN111736555B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00Photometry, e.g. photographic exposure meter
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/37Measurements
    • G05B2219/37533Real time processing of data acquisition, monitoring
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Immunology (AREA)
  • Health & Medical Sciences (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pathology (AREA)
  • Analytical Chemistry (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Automation & Control Theory (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Catching Or Destruction (AREA)

Abstract

On the one hand, the invention discloses a global insect condition monitoring system, which comprises: the system comprises an insect attracting board, insect condition acquisition terminals and a cloud server, wherein the insect attracting board is in communication connection with all the insect condition acquisition terminals and is used for operating a global insect condition monitoring platform; the global insect situation monitoring platform comprises: the system comprises a workshop subarea management module, a terminal configuration management module and an insect condition information identification module, wherein the insect condition information identification module is used for receiving insect condition information and outputting real-time insect condition data and subarea maintenance reminding information of each subarea in an uploading period. According to the design method of the global insect condition monitoring system, the insect trapping point alternative areas of all process points of the workshop global are obtained according to the uniform selection indexes and are recorded into the global insect condition monitoring system; setting the deployment density of the insect trapping points in the workshop in a global insect condition monitoring system; deploying an insect pest collecting terminal according to the position of the insect trapping point output by the global insect pest monitoring system; and configuring the insect condition risk index of each partition and a maintenance measure corresponding to the insect condition risk index in the global insect condition monitoring system.

Description

Global insect condition monitoring system and design method thereof
Technical Field
The invention belongs to the technical field of insect pest monitoring in the cigarette industry, and particularly relates to a global insect pest.
Background
The tobacco insect generally refers to tobacco beetle, and after the raw material of the tobacco leaves is damaged by the tobacco insect, dead bodies, worm eggs, worm excrement and filamentous secretion of the tobacco insect pollute the cigarette, so that the smoking can generate foul smell and influence the internal quality of the finished cigarette product. The production workshops of large-scale cigarette enterprises occupy large areas, taking the tobacco processing workshops with more easily-occurring pest situations as examples, the total area of the production workshops is tens of thousands of square meters, tobacco raw materials such as tobacco bags, tobacco shreds and tobacco sheets used by each process point in the tobacco processing workshops and tobacco intermediate materials are easily damaged by tobacco pests, and due to the environmental development among the process points, the tobacco pest damage occurring at any process point is easily diffused, so that the production of the whole tobacco processing workshops is influenced. The control of the insect pest situation of the cigarette is insisted on the basic principle of 'prevention is main and prevention and control combination' in the cigarette production process, and a technician is required to perform insect-trapping and cigarette-pest-checking analysis on the whole workshop, comprehensively judge the insect situation of the workshop and report the insect situation.
In the prior art, a technical scheme of collecting image information of a pest sticking plate of a pest trapping point and carrying out target detection counting is adopted, so that an operator can be assisted to count and count the pest trapping point, but the insect situation control work is still difficult to guide.
Chinese patent CN201720780655.4 provides a tobacco flake storage environment insect pest detection device, and this patent is through the position and the angle relation of analysis research industry camera and insect pest situation detection card, and the camera is with the insect pest situation detection card photo that gathers conveying to the computer, and the computer uses the calculation of inside leading-in software to obtain the cigarette pest quantity. This patent is primarily concerned with independently located trap photo capture, transmission and processing, but does not claim to implement uniform global pest situation monitoring for a plant.
Disclosure of Invention
The invention aims to provide a global insect condition monitoring system which can shorten the tobacco insect condition statistics time of a workshop global area, improve the working efficiency of tobacco insect monitoring and improve the effectiveness of physical killing by shortening the insect condition monitoring time.
Various embodiments of a first aspect of the present invention provide a global pest situation monitoring system, including:
the insect attracting plate is arranged at an insect attracting point fixed in a workshop and is used for providing a surface for adhering the tobacco insects;
the insect condition acquisition terminal is arranged on the insect attracting plate and used for acquiring insect condition information of the insect attracting point; the insect condition information comprises an insect attracting plate image;
the cloud server is in communication connection with all the insect pest situation acquisition terminals and is used for operating a global insect pest situation monitoring platform;
the global insect condition monitoring platform comprises:
the workshop partition management module is used for configuring all the partitions of the workshop according to the use conditions of all the process points and configuring the position of the insect trapping point in each partition;
the terminal configuration management module is used for configuring the uploading period of the insect situation information provided by each insect situation acquisition terminal;
and the insect condition information identification module is used for receiving the insect condition information and outputting real-time insect condition data and partition maintenance reminding information of each partition in an uploading period.
Preferably, the insect condition acquisition terminal is provided with a bowl-shaped shell which is buckled on the insect attracting plate; the bowl-shaped shell is provided with a top inclined plane covering the vertical projection of the bowl-shaped shell and a through hole positioned on the side surface and/or the bottom surface of the bowl-shaped shell; the total cross-sectional area of all of the through-holes is greater than 50cm 2.
Preferably, the vibration frequency of the insect attracting point is less than 20Hz, and/or the illumination intensity is more than 5 lux and less than 50 lux, and/or the dust concentration is less than 2mg/m 2.
Preferably, the cloud server is in communication connection with the statistical process control system of the workshop, and the insect condition information identification module outputs the insect condition risk data of each partition according to the production process information and the real-time insect condition data provided by the statistical process control system.
Preferably, the global insect pest monitoring system comprises a client side for providing a graphical interface, and is used for displaying a global map of all the partitions of the workshop, and each partition of the global map is filled with output data of an insect pest information identification module for marking the partition by using colors.
A plurality of embodiments of the second aspect of the present invention provide a method for designing the global insect monitoring system of the first aspect, configured to configure each global insect monitoring system, including: acquiring an insect attracting point alternative area of each process point of the workshop universe according to a uniform selection index and recording the insect attracting point alternative area into a universe insect condition monitoring system; setting the deployment density of the insect trapping points in the workshop in a global insect condition monitoring system; deploying an insect pest collecting terminal according to the position of the insect trapping point output by the global insect pest monitoring system; and configuring the insect condition risk index of each partition and a maintenance measure corresponding to the insect condition risk index in the global insect condition monitoring system.
Preferably, the insect pest risk index configuration method of the global insect pest monitoring system comprises the following steps:
step 1, obtaining a partition and an insect trapping point position of a global insect situation monitoring system;
step 2, establishing a risk evaluation table of a partition according to a history database of the global insect situation monitoring system;
step 3, periodically searching potential hazard points of the insect source of the subareas;
step 4, determining an insect situation risk index corresponding to each insect source hidden danger point in the subarea;
and 5, taking the maximum value of the insect condition risk indexes corresponding to each insect source hidden danger point of the subarea as the insect condition risk index of the subarea.
Preferably, the risk assessment table comprises an insect situation density risk assessment table, an insect source hidden danger point and material nearest distance risk assessment table, an insect source hidden danger point environment illumination intensity risk assessment table, an insect source hidden danger point environment dust thickness risk assessment table and a regional comprehensive insect situation risk assessment table.
The technical scheme provided by the invention has the beneficial effects that the method is not limited to: the real-time insect situation state is realized, the insect situation state of the whole workshop can be monitored in real time through system setting, and the delay lag condition of the statistical result of the cigarette insect data is eliminated; the result analysis intellectualized carries out early warning or alarming on the data collected and provided by the system at the PC end and the mobile phone end in time through statistical analysis. The early warning output is automatic, and the global regional alarm is output in a multi-color alarm mode, and meanwhile, the regional and requirements of deep maintenance needed by an operator are guided. The insect situation state of the workshop can be monitored in real time, and the management level of workshop equipment is improved. Lays a foundation for creating an intelligent factory.
Drawings
FIG. 1 is a schematic diagram of a global pest situation monitoring system according to an embodiment of the present invention;
FIG. 2 is a plan sectional view of a filament manufacturing plant according to an embodiment of the present invention;
FIG. 3 is a block diagram of a global pest status monitoring platform according to one embodiment of the present invention;
FIG. 4 is a flowchart illustrating an insect warning process of the global insect monitoring platform according to an embodiment of the present invention;
FIG. 5 is a schematic view of a system embodiment of the present invention based on the output of the filament manufacturing plant of FIG. 2;
FIG. 6 is a schematic diagram of a target detection process in accordance with one embodiment of the present invention;
FIG. 7 is a global insect map of the filament fabrication plant of FIG. 2 output by a mobile client in accordance with one embodiment of the present invention;
the system comprises a power supply.
Detailed Description
Firstly, it should be noted that the pest sticking using the pest trapping plate in the prior art can be a physical pest killing means, and can also be used for pest situation analysis through pest body counting, when the pest situation analysis method is used for pest situation analysis, the pest situation analysis method cannot be used alone, and the pest situation analysis method can be used for pest situation analysis on a specific area only by combining a specific setting position and other related data, and when the pest situation analysis method is implemented, the position of the pest trapping plate cannot be fixed, but is dynamically adjusted along with the changes of production process, yield and material layout, and is analyzed manually. For example, chinese patent application CN201710954297.9 provides a method for evaluating insect pest risk of cigarettes, comprising: dividing a monitoring area and an evaluation period; monitoring insect conditions and insect source hidden dangers; establishing an insect condition risk evaluation table, and establishing a corresponding relation between insect condition density and insect condition risk index; establishing an insect source hidden danger risk assessment table, respectively establishing corresponding relations between two parameters of dust thickness and distance from the dust to the material and the hazard index, and calculating to obtain the insect source hidden danger risk index of the insect source hidden danger point in the detection period; determining the regional risk index of the region; and (4) integrating the regional risk indexes of all the regions, establishing a corresponding relation between the regional risk indexes and the regional risk situations, and guiding the insect prevention and killing work according to the corresponding relation. The final assessment made by the method can accurately represent the pest risk of a certain area, so that the guidance of pest killing and prevention and control work can effectively solve the problems of immature tobacco pest supervision technology, poor control effect and the like in the prior art. In the technical scheme provided by the invention, the evaluation period is irrelevant to the uploading period, and the insect condition monitoring aims at determining the insect condition density of one evaluation period in the monitoring area, wherein the insect condition density is the total capturing amount/the number of traps/the number of days of the period; the insect source hidden danger monitoring method aims to randomly check insect source hidden danger points in a monitoring area according to monitoring experience database information in each evaluation period, and count the cigarette ash thickness and insect pest breeding conditions, wherein if the cigarette ash thickness still needs to be manually measured, full-automatic insect pest monitoring cannot be achieved. It is not obvious to those skilled in the art to adopt fully automated data monitoring for pest situation monitoring.
It should also be noted that the purpose of the insect pest monitoring of the present invention is insect pest control, and the insect pest control methods in the field include physical methods including trap killing, insect source investigation, environmental and equipment sanitation cleaning, and chemical methods including global spray killing and special point spray killing. The conception of the invention advocates that if the complete polling disinfection cycle is implemented fixedly, the setting time is too short, which affects the normal production, and the time is too long, which can not control the insect situation in time. The technical scheme provided by the invention is to support a dynamically adjusted killing period, and at least to face the technical problems that: how to improve the statistical mode of the insect situation in the workshop and improve the agility and the effectiveness of physical killing. The conventional understanding of this problem by those skilled in the art advocates that there is no correlation between the length of the statistical period of the data and the effectiveness of the physical kill, particularly the cleaning and maintenance. The invention is based on that a fixed maintenance period does not obviously help to control the insect situation.
The technical solutions provided by the present invention will be further clearly and completely described below in connection with various embodiments of various aspects of the present invention and the accompanying drawings, so that those skilled in the art can fully understand the technical solutions to implement and improve the present invention.
As shown in fig. 1, a first aspect of the present invention provides a global pest monitoring system for providing pest monitoring in the whole plant. The system mainly comprises insect attracting plates 10 arranged at all insect attracting points in a workshop, insect condition acquisition terminals 20 arranged on all the insect attracting plates 10 and a cloud server 30 in communication connection with all the insect condition acquisition terminals 20.
The insect attracting plate 10 is used for attracting the tobacco insects near the insect attracting point through the insect attracting agent, and the attracted tobacco insects are adhered and fixed through the insect attracting glue surface arranged on the insect attracting plate, so that counting statistics can be carried out during insect condition analysis. In some embodiments, in order to analyze the deployment effect of the insect trapping glue, correct the deformation of an image lens of the insect trapping plate or analyze the position influence of a camera in the insect situation acquisition terminal, the surface of the insect trapping glue is provided with straight lines which are crossed vertically and horizontally.
The insect condition collecting terminal 20 is used for collecting insect condition information of the insect trapping sites, and mainly comprises insect trapping plate images. The insect situation collecting terminal in some embodiments can be implemented according to an intelligent tobacco insect trapping and analyzing device disclosed in chinese patent 201921938520.1. In some embodiments, the insect condition collecting terminal comprises a bowl-shaped shell buckled on the insect attracting plate; the bowl-shaped shell is provided with a top inclined plane covering the vertical projection of the bowl-shaped shell and a through hole positioned on the side surface and/or the bottom surface of the bowl-shaped shell. Because the pest situation acquisition terminals in these embodiments are installed on the insect attracting plate, and need to be subjected to dustproof treatment when a workshop is cleaned, the device can be implemented as a smoke pest trapping device with a dustproof function provided by Chinese patent 202020502198.4, and the cloud server informs each pest situation acquisition terminal to be switched to a dustproof state when receiving a workshop cleaning signal.
The cloud server 30 is used for operating a global insect condition monitoring platform, and the global insect condition monitoring platform mainly comprises program modules such as a workshop partition management module, a terminal configuration management module, an insect condition information identification module and the like, wherein the workshop partition management module is used for configuring each partition of a workshop according to the use condition of each process point and configuring the position of an insect trapping point in each partition; the terminal configuration management module is used for configuring the time for uploading the insect situation information by each insect situation acquisition terminal; the insect condition information identification module 20 is configured to receive the insect condition information and output the total number of the tobacco insects in each partition in an uploading cycle. In the embodiment of fig. 1, the communication interface of the pest information identification module 20 is connected to the field bus on the field side, and then the communication connection is realized uniformly by the gateway of the field bus in the workshop and the platform side network, and the cloud server 30 is arranged in the platform side network and connected to the pest information identification module 20 in an encrypted or unencrypted manner. The global insect pest monitoring system may further include a plurality of clients 40 for accessing data of the insect pest information identification module 20 or the cloud server 30, and configuring or using the global insect pest monitoring platform. The cloud server 30 is in data connection with the insect pest information identification modules 20 of the workshops, stores and runs the running program of the global insect pest information monitoring platform, provides database services, and can be distributed or aggregated.
In a first embodiment of the first aspect of the present invention, a global pest situation monitoring system for monitoring pest situations of an entire silk manufacturing workshop is provided. The shred manufacturing workshop shown in figure 2 has a total area of about 3 ten thousand square meters, can be divided into a plurality of process points according to production flow and functions, also called functional areas, and mainly comprises a workshop production line, a stem mixing chamber, a leaf selecting chamber, a premixing chamber, a leaf storage chamber, a shred mixing chamber, a blending chamber, a flavoring chamber, a sheet chamber, a shred storage room, a dust removal chamber, a residual tobacco processing chamber and the like, wherein the process points are divided by closed or semi-closed wall bodies.
In the embodiment, a technician in a tobacco processing workshop patrols the patrolling path of each internal process point by thousands of meters, hundreds of insect trapping points are involved, the cycle of one-time patrolling is about more than 6 days, the spawning period of the tobacco insects is 3 to 4 days, the constant temperature and humidity indexes of the production environment required by the production process of each section of the cigarette workshop are most suitable for survival and propagation of the tobacco insects, and if the insect situation is not found and the breeding points of the tobacco insects are found in the spawning period and timely cleaned, the tobacco insects multiply and propagate, and the hysteresis of treatment measures is generated.
The global insect condition monitoring system of the embodiment requires that the deployment density of the insect trapping sites of each process site is greater than or equal to 0.5 per hundred square meters, and according to the requirement and the area of the process sites, the deployment density of the insect trapping sites is equal to 0.5 per hundred square meters, and the number of the insect trapping sites is preliminarily set as shown in the following table.
TABLE 1 deployment table of trap number
Art point Area (m)2) Number of trap points
Production line 8697.55 43.49
Between mixing stalks 438 2.19
Between leaves 1330.23 6.65
Pre-mixing chamber 947.43 4.73
Between the leaves 2001.6 10.008
Wire mixing chamber 2001.6 10.008
Blending room 1836.64 9.18
Perfuming room 804 4.02
Between sheets 1051 5.255
Silk storage room 5075 25.375
Dust removal room 1329.1 6.6
Residual smoke treatment room 361.3 1.8
According to the design method of the global insect situation monitoring system provided by the second aspect of the invention, the insect trapping sites at the setup 126 of the silk manufacturing workshop are finally determined, and the insect trapping boards are installed. The insect condition acquisition terminals on the insect attracting plates are connected with a gateway of the silk making workshop through wireless APs deployed in the silk making workshop and are connected with the cloud server through VPNs deployed in the cloud section.
In this embodiment, insect pest situation acquisition terminal is equipped with processing unit, integrated camera, temperature and humidity sensor, illuminance sensor, earthquake degree sensor and battery, and integrated camera is used for gathering the board image of luring the worm, and temperature and humidity sensor, illuminance sensor, vibration sensor gather humiture, illuminance and the vibration frequency of luring the worm point respectively. The processing chip of processing unit adopts the STM32F103RX chip of low-power consumption, is in the power down hold state for a long time, when arriving the appointed acquisition time of global insect pest situation monitoring platform, through internal clock, perhaps global insect pest situation monitoring platform's trigger signal activates to operating condition, gathers and uploads the data collection to the high in the clouds server according to the configuration. The insect trapping point humiture, the insect trapping point illuminance, the insect trapping point vibration frequency can not change suddenly in this embodiment, and consequently, integrated camera, temperature and humidity sensor, illuminance sensor, earthquake sensor are all in the stand-by time of power down state in order to prolong insect pest situation collection terminal when processing unit is not activated. In this embodiment, the integrated camera is a digital camera, the signal-to-noise ratio is 52db, the minimum illumination is 18Lux, the effective photographing distance is 0-50cm, the programmable frame rate is adjusted to be 5, 10, 15, 20, 25, 30, and the like, and the integrated camera normally works at about 0.4W.
In this embodiment, as shown in fig. 3 and 4, the global insect pest monitoring platform includes a workshop partition management module 101, a terminal configuration management module 102, an insect pest information identification module 103, a system control module 104, a report management module 105, an insect pest display configuration module 106, and a permission management module 107 running on a cloud server to complete the insect pest monitoring function, and each program module may be remotely accessed by a client through computing, for example, by implementing operations such as configuration and query on the global insect pest monitoring platform in a B/S manner. The database of the global insect situation monitoring platform stores a partition plan of the silk making workshop, and the partition plan contains the position information of each process point storage cabinet.
The workshop section management module 101 is configured to configure each section of the workshop according to the use condition of each process point, and configure the position of the insect attracting point in each section. In this embodiment, when the global insect condition monitoring platform initializes the silk manufacturing workshop, the craftsman determines the insect attracting point candidate area by field measurement, and the conditions that the vibration frequency is less than 20Hz, the illuminance is more than 5 lux and less than 50 lux, and the dust concentration is less than 2mg/m2. The workshop partition management module reads a partition plan of the silk making workshop, the arrangement density of the insect trapping points is obtained according to the input insect trapping point alternative area, the insect trapping point positions in each partition are output and stored according to the partition areas in the partition plan and the storage cabinet positions in the partitions, and each insect trapping point is located in the insect trapping point alternative area and has a unique number. Fig. 5 shows an output of the insect attracting point of the plant subarea management module 101 where the insect situation collecting terminal is installed. The craftsman sets up the insect attracting plate according to the installation of the position of the output insect attracting point and installs the insect situation collecting terminal on the insect attracting plate. The insect trapping point is positioned in the insect trapping point alternate area and is 1.4 to 1.6 meters away from the ground. After the silk making workshop is initialized, the position of the insect attracting point is not changed any more, and if a technician manually changes the position of the insect attracting point, the position of the insect attracting point with the corresponding number needs to be modified in the workshop partition management module again.
And the terminal configuration management module 102 is configured to configure time for each insect situation acquisition terminal to upload the insect situation information. Specifically, in this embodiment, the login user sets the picture uploading period of all the insect condition acquisition terminals in the silk manufacturing workshop to be 1 frame/hour in this module, that is, all the insect condition acquisition terminals simultaneously acquire the images of the insect attracting plate at the whole points from 0 to 23 points respectively, and add a synchronous mark, so that the insect condition information identification module 103 performs synchronous statistics and comparison on the insect condition time sequence after receiving the insect condition information asynchronously uploaded by each insect condition acquisition terminal.
And the insect condition information identification module 103 is used for receiving the insect condition information and outputting real-time insect condition data of each partition in an uploading period. In this embodiment, the insect condition information provided by the insect condition acquisition terminal includes an image of the insect trap board, a temperature and a humidity of the insect trap point, an illuminance of the insect trap point, and a vibration frequency of the insect trap point, and the stored material quantity of each storage cabinet is acquired through a Statistical Process Control System (Statistical Process Control System) of the silk making workshop to correct the insect condition and evaluate the influence of the insect condition on the insect condition evaluation by the insect count of the insect trap board. When the temperature and humidity of the insect trapping point, the illuminance of the insect trapping point and the vibration frequency of the insect trapping point of one insect trapping point exceed the conditions of the alternative area of the insect trapping point when the initialization is carried out, a technician is prompted to adjust the position of the insect trapping point to meet the conditions of the alternative area, and the position information of the insect trapping point in the database is updated.
Exemplarily, in this embodiment, the insect situation information recognition module 103 performs recognition processes on the insect attracting plate image, including image denoising, significance analysis, morphological processing, and target detection. The method comprises the steps of denoising images, normalizing images of a pest trapping plate acquired by different pest situation acquisition terminals into 256 multiplied by 256 images, denoising the images, preferably denoising wavelet thresholds with peak signal-to-noise ratio larger than or equal to 22dB, and performing the step by adopting filtering methods such as mean filtering and median filtering in other embodiments; the system adopts SVM algorithm to recognize and classify the image, processes the feature array of the input filtered image, gives a classification result, recognizes and classifies two features of color and direction, and can also adopt BP, CNN containing full connection layer and other conventional modes to classify the features in other embodiments; morphological processing, namely morphologically processing the obtained significance map according to the characteristics of the picture of the insect attracting plate, firstly carrying out linear detection on the significance map, carrying out expansion and corrosion algorithms on the significance map after removing the linear, and then removing isolated points outside the target to prevent other particles from influencing the processing result; in the target detection, if two or more tobacco insects are communicated in the image, the significance map with straight lines and isolated points removed in the previous step is marked with a communicated region, the data such as the area and the length of each communicated region and the coordinates of a circumscribed matrix are solved, finally, the threshold value of the communicated region is compared, and the data higher than the set threshold value are further judged according to the length-width ratio of the data. Fig. 6 shows a process of target detection in this embodiment, in order to prevent the area from being too large due to the stack of the tobacco worms, the target detection of the pest situation information identification module 103 in this embodiment adds a difference concept, compares the difference between the image features acquired at this time and the image features at the previous time, finally obtains a processed result, and counts pest count data to store and output the data.
And the system control module 104 is used for controlling each insect situation acquisition terminal to start or stop running, setting a battery voltage early warning threshold value of each insect situation acquisition terminal, and counting the battery voltage condition of each insect situation acquisition terminal.
And the report management module 105 is used for counting the variation trend of the total tobacco budworms in the workshop according to time.
And the insect condition display configuration module 106 is used for setting the display color of each partition in the insect condition map under different insect conditions. In this embodiment, the real-time insect pest data of a zone is greater than a threshold or the zone maintenance reminding information is higher than a level, and the zone is indicated with red on the interactive interface to alarm.
The authority management module 107 is used for managing modules operable by the login user, including interface resource management such as menu bar items, role management for setting authority and responsibility of the login user, user management for recording and activating personnel information of the user, and system management for managing a user interface display item used by a system of the login user.
The client of the global insect situation monitoring system of the embodiment further comprises a mobile terminal, wherein the mobile terminal is used for sending a request to the global insect situation monitoring platform of the cloud server, and operating the tobacco insect analysis module 201, the tobacco insect map module 202, the authority processing module 203 and the insect situation statistics module 204 according to response data.
The cigarette worm analysis module 201 receives real-time insect condition data of each time point within a period of time of the insect condition information identification module 103, and displays the insect condition trend increasing condition of each process point through charts such as pie charts.
The smoke worm map module 202, as shown in fig. 7, is configured to graphically display the distribution of smoke worms in the workshop, receive the output information of the insect situation information identification module 103, and express the number of smoke worms in each partition or the emergency degree of the partition maintenance reminding information by using the color depth according to the configuration of the insect situation display configuration module 106.
And the authority processing module 203 is used for setting the operation authority of different groups of people on the mobile terminal according to the setting of the authority management module 107.
And an insect situation statistics module 204. And the real-time pest situation data is used for reading the real-time pest situation data of each time point stored in the database of the global pest situation monitoring platform and counting the change trend of the tobacco pests of the whole silk manufacturing workshop according to time.
The global insect condition monitoring system of each embodiment of the first aspect of the invention provides real-time insect condition data of each partition of the same time point of the global of the workshop, and after receiving the global insect condition data, a technician can timely perform maintenance treatment on the partition with the insect condition exceeding the threshold value, thereby changing the process flow of inspection type maintenance in the field. The inspection type maintenance steps include that 6 subareas exist in a workshop, as the insect condition statistical period is not related to the maintenance effect in the prior art, based on industrial practice, a craftsman respectively maintains the six subareas in real time, first day acquires insect condition information of the subarea 1, selects and implements a maintenance strategy of the subarea 1 according to the insect condition information, then second day acquires insect condition information of the subarea 2, selects and implements a maintenance strategy of the subarea 1 according to the insect condition information, and thus the subarea 1 is inspected again after the subarea 6 is circularly completed. In the global insect condition monitoring system according to each embodiment of the first aspect of the present invention, the global insect condition information is collected at the same time, and the configured maintenance strategy is selected according to the insect condition information and output in the form of the partitioned maintenance reminding information, instead of providing the partitioned maintenance reminding information in the form of partitioned inspection.
In order to optimize the operation of the global insect pest monitoring system of the first aspect of the present invention, the second aspect of the present invention further provides a design method of the global insect pest monitoring system, comprising: acquiring an insect attracting point alternative area of each process point of the workshop universe according to a uniform selection index and recording the insect attracting point alternative area into a universe insect condition monitoring system; setting the deployment density of the insect trapping points in the workshop in a global insect condition monitoring system; deploying an insect pest collecting terminal according to the position of the insect trapping point output by the global insect pest monitoring system; and configuring the insect condition risk index of each partition and a maintenance measure corresponding to the insect condition risk index in the global insect condition monitoring system.
In some possible embodiments, the unified selection criteria include vibration frequency, and/or light intensity, and/or dust concentration, and position information for providing installation height.
In some possible embodiments, the maintenance measure corresponding to the insect pest risk index includes one or more of daily maintenance, special maintenance and deep maintenance, so that the partitioned maintenance is performed in a graded manner according to the insect pest risk index of each partition. In these embodiments, the specific maintenance action is ultimately included in the zonal maintenance reminder output by the global insect monitoring system. In one embodiment, routine maintenance refers to increased attention and thorough maintenance of the material storage and delivery path; special maintenance, namely cleaning and blowing maintenance of equipment in an area and/or cleaning dead corners of the equipment; deep maintenance refers to internal maintenance of equipment disassembly (including bridges, wire grooves and the like), and/or disassembly and cleaning of nearby heat insulation layers, and/or disinsection through methods of chemical agent fumigation and the like.
The embodiment of the second aspect of the invention mainly relates to a method for acquiring the partition maintenance reminding information of the insect condition information identification module configured according to the insect trapping point position of the workshop partition management module in the global insect condition monitoring system. Exemplarily, in an embodiment of the second aspect of the present invention, the method for configuring the insect risk index of the global insect monitoring system includes the following steps:
step 1, obtaining a partition and an insect trapping point position of a global insect situation monitoring system;
step 2, establishing a risk evaluation table of a partition according to a history database of the global insect situation monitoring system;
step 3, periodically searching potential hazard points of the insect source of the subareas;
step 4, determining an insect situation risk index corresponding to each insect source hidden danger point in the subarea;
and 5, taking the maximum value of the insect condition risk indexes corresponding to each insect source hidden danger point of the subarea as the insect condition risk index of the subarea.
Specifically, in this embodiment, the risk assessment table includes an insect situation density risk assessment table, an insect source hidden danger point and material closest distance risk assessment table, an environment illumination intensity risk assessment table where the insect source hidden danger point is located, an environment dust thickness risk assessment table where the insect source hidden danger point is located, and a regional comprehensive insect situation risk assessment table. Firstly, establishing a partitioned risk assessment table according to a history database of a global insect situation monitoring system; then, searching a partition insect source hidden danger point according to real-time insect condition data uploaded by one of the global insect condition monitoring systems, and inputting position information of each insect source hidden danger point in an insect condition information identification module of the global insect condition monitoring system; the global insect pest situation monitoring system looks up a table according to the configuration method of the embodiment to obtain the insect pest situation risk index of the partition, and outputs partition maintenance reminding information according to the corresponding relation between the pre-configured insect pest situation risk index and the maintenance measures set for color early warning and taken.
Because the insect condition influence factors corresponding to different processing procedures are very different, the idea of insect condition analysis of different partitioned areas, namely partitions in a workshop is the same, but the related data in the workshop are different. The practice of the method is exemplified below by taking the interleaf region as an example.
For comparison, in the prior art, in a silk manufacturing plant not implementing the global insect condition monitoring system of the first aspect of the present invention, there is no real-time insect condition statistics of a unified uploading cycle, the maintenance cycle between leaf storages is a fixed cycle, and the number of tobacco insects in 4 maintenance cycles of 3 months and 4 months in a certain year between leaf storages is shown in tables 2-1 and 2-2, respectively.
Table 2-1: statistics table for number of tobacco insects in first 2 weeks
Date 4 5 6 7 8 9 10
Quantity (number) 2 3 4 3 3 4 5
Date 11 12 13 14 15 16 17
Quantity (number) 9 10 13 16 17 18 18
Tables 2 to 2: statistics table for tobacco worm number in later 2 weeks
Date 18 19 20 21 22 23 24
Quantity (number) 2 2 2 3 4 5 6
Date 25 26 27 28 29 30 31
Quantity (number) 9 11 12 13 15 17 17
The two sets of data were tested for 2T with an estimated difference of μ (first 2 maintenance cycles) to μ (last 2 maintenance cycles) of 0.50, a 95% confidence interval of difference of: (-4.16,5.16), T-test with a difference of 0 (and ≠ T) of 0.22P 0.827 and a degree of freedom 26, both using a combined standard deviation of 6.0011. The P value (0.827) > 0.05 of the double-sample t analysis result shows that the insect condition is not reduced significantly within one month of maintenance period. Therefore, in the prior art, the technical proposal does not exist for the technicians in the field, and the motivation for improving the maintenance effect by shortening the statistical period of the insect situation does not exist.
In this example. Insect situation detection data for insect situation density risk assessment come from insect situation acquisition terminals among the storage leaves, and insect situation risk situations are measured through insect situation densities, and exemplarily, the definition of insect situation densities in the embodiment is as follows:
insect situation density (P) ═ total number of trapped tobacco insects per partition area (S)/detection period (T)
In this embodiment, a risk assessment table of partitions between storage leaves is established in the following manner, and in the insect situation density risk assessment table, the insect situation density is divided into four gradients, which are respectively as follows: p is less than or equal to 0.000625, P is less than or equal to 0.00125 and more than or equal to 0.000625, P is less than or equal to 0.0025 and more than 0.00125 and P is more than 0.0025; the first insect situation risk indexes are sequentially corresponding to: 1.3, 6, 9; the first insect situation risk situation is sequentially corresponding to: minor, general, major, and severe risks, as shown in the following table:
TABLE 2-3 insect pest situation density Risk assessment Table
Density of insect pest First insect situation risk index First insect situation risk situation
P≤0.000625 1 Slight risk
0.000625<P≤0.00125 3 General risks
0.00125<P≤0.0025 6 Greater risk of
P>0.0025 9 Serious risk
It should be noted that, the cigarette insect pest risk assessment methods disclosed in chinese patent CN109670658A are different, and the concept of the present invention is based on that the closer to the material, the darker the light and the thicker the smoke are, the easier the cigarette insect pest risk assessment method becomes the preferred ideal settlement point for the cigarette insect, so that the more distant from the material, the stronger the light and the thinner the smoke is, the more serious the cigarette insect pest is found, the more serious the insect pest situation is, and therefore, the larger the insect pest risk index is, the more serious the insect pest situation risk situation is. This view is the principal theoretical basis for this patent application. In this embodiment, in the insect pest situation influence factor comprehensive action risk assessment, insect pest situation risk index analysis of three factors, namely the distance between the insect source hidden danger point and the material, the ambient illumination intensity of the insect source hidden danger point, and the dust thickness of the insect source hidden danger point, is distributed according to the insect pest situation influence weight. In addition, among three factors of the distance between the insect source hidden trouble point and the material, the environmental illumination intensity of the insect source hidden trouble point and the dust thickness of the insect source hidden trouble point, the distance between the insect source hidden trouble point and the material has the largest influence on the tobacco insects relatively, the environmental illumination intensity of the insect source hidden trouble point is the second factor, the influence is the factor of the dust thickness of the insect source hidden trouble point relatively smaller, the cigarette insect pest risk assessment method only refers to the distance between the insect source hidden trouble point and the material and the dust thickness of the insect source hidden trouble point, and the environmental illumination intensity of the insect source hidden trouble point with larger importance weight is not considered, so that the complete realization of the global insect situation monitoring cannot be realized.
In the risk evaluation table of the insect source hidden trouble point and the nearest distance between the insect source hidden trouble point and the material, the distance between the insect attracting point and the nearest position of the nearest storage cabinet corresponding to the nearest distance (L) between the insect source hidden trouble point and the material is divided into four gradients which are respectively: l is less than or equal to 1m, 1m is less than or equal to 4m, 4m is less than or equal to 8m, and L is more than 8 m; the second insect situation risk indexes which correspond in sequence are as follows: 1.4, 1.8, 2.2, 2.6; the insect situation risk situation 2 corresponding in sequence is: minor, general, major, and severe hazards as shown in the following table:
TABLE 2-4 Risk assessment table for insect source hidden trouble point and material nearest distance
The nearest distance (L) between the hidden trouble point of insect source and the material Second insect situation risk index Second insect situation risk situation
L≤1m 1.4 Slight harm to
1m<L≤4m 1.8 General hazards
4m<L≤8m 2.2 Serious harm
L>8m 2.6 Serious harm to
It is worth to be noted that, different from the invention concept of the invention patent "a cigarette insect pest risk assessment method", the design method of the second aspect of the present invention considers that the closer to the material, the darker the light and the thicker the smoke and dust are, the easier the smoke and dust are to become the preferred ideal settlement point for the tobacco and insect, therefore, when the tobacco and insect are found at the place farther away from the material, the stronger the light and the thinner the smoke and dust are, the more serious the insect situation is, the larger the insect situation risk index is, the more serious the insect situation risk situation is.
In the risk evaluation table of the illumination intensity of the environment where the insect source hidden danger points are located, the illumination intensity (Q) of the environment where the insect source hidden danger points are located is divided into four gradients which are respectively as follows: q is less than or equal to 10Lux, Q is less than or equal to 100Lux when the Q is less than or equal to 10Lux, L is less than or equal to 300Lux when the Q is less than or equal to 100Lux, and Q is more than 300 Lux; the insect situation risk indexes which correspond in sequence are as follows: 1.3, 1.6, 2.0, 2.4; the corresponding insect situation risk situations are respectively as follows: minor, general, major, and severe hazards as shown in the following table:
TABLE 2-5 evaluation table for the environmental illumination intensity risk of the insect source hidden trouble point
Ambient light intensity (Q) Third insect situation risk index Third insect situation risk situation
Q≤10Lux 1.3 Slight harm to
10Lux<Q≤100Lux 1.6 General hazards
100Lux<L≤300Lux 2.0 Serious harm
Q>300Lux 2.4 Serious harm to
In an environment dust thickness risk assessment table where the insect source hidden danger points are located, the environment dust thickness (H) where the insect source hidden danger points are located is divided into four gradients which are respectively as follows: h is more than 8mm, H is more than 5mm and less than or equal to 8mm, H is more than 2mm and less than or equal to 5mm, and H is less than or equal to 2 mm; the insect situation risk indexes which correspond in sequence are as follows: 1.0, 1.3, 1.6, 1.9; the insect situation risk situation corresponding to the sequence is as follows: minor, general, major, and severe hazards as shown in the following table:
TABLE 2-6 dust thickness risk assessment table for environment where insect source hidden trouble points are located
Thickness of environmental dust (H) Fourth insect situation risk index Fourth insect situation risk situation
H>8mm 1.0 Slight harm to
5mm<H≤8mm 1.3 General hazards
2mm<H≤5mm 1.6 Serious harm
H≤2mm 1.9 Serious harm to
In the regional comprehensive insect situation risk assessment table, the table is configured according to the following table.
TABLE 2-7 comprehensive insect pest situation risk assessment table
Regional comprehensive insect pest risk index Regional comprehensive insect situation risk situation
(0,1.82] Slight harm to
(1.82,3.74] General hazards
(3.74,7.04] Serious harm
(7.04,11.86] Serious harm to
Taking insect density risk assessment as an example, the process of obtaining a first insect risk index between stored leaves by the global insect monitoring system is as follows: considering 2000 square meters in total among stored leaves, 12 insect condition acquisition terminals capture 2 tobacco insects in the first week in 3 months in 2020, and the insect source hidden danger points are checked twice every week, wherein 1 tobacco insect hidden danger point (1) is found in Monday check, 1 tobacco insect hidden danger point (1) is found in Thursday check, and no tobacco insect hidden danger point is found in the rest of checks.
M/S/T2 heads/2000M/7 days 0.000143 heads/M/day
As can be seen from the insect pest density risk assessment table, the first insect pest risk index is obtained by looking up the table because P is 0.000143 ≦ 0.000155.
And configuring a global insect condition monitoring system to respectively obtain each specific insect condition risk index of each insect source hidden danger point, and then carrying out insect condition influence factor comprehensive action risk assessment. Exemplarily, the insect condition risk indexes of all three insect source hidden danger points among stored leaves are respectively as follows:
Figure BDA0002555509800000141
and the comprehensive insect condition risk index of the insect source hidden danger point is obtained by multiplying the second insect condition risk index, the third insect condition risk index and the fourth insect condition risk index.
Because the comprehensive insect pest situation risk index 2.34 of the insect source hidden danger point 1 > the first insect pest situation risk index 1.0 of the region, the larger value of the regional comprehensive insect pest situation risk index of the partition and the regional comprehensive insect pest situation risk index is 2.34, and the corresponding regional comprehensive insect pest situation risk situation can be known as follows by combining the table 2-7: generally harming. The insect prevention and control effect can be achieved by adopting manual thorough maintenance.
In an exemplary embodiment of the second aspect of the present invention, a maintenance configuration method corresponding to an insect risk index of a global insect monitoring system includes: and setting an insect condition risk index according to the insect condition density of each subarea, and setting color early warning and taken maintenance measures corresponding to the insect condition risk index.
And the insect condition information identification module is provided with a corresponding relation between the insect condition risk index of the subarea and color early warning and maintenance measures taken.
In this embodiment, the statistical period of the insect situation density of the partitions is taken every week, that is, the total number of the tobacco insects every week, and the two partition silk mixing rooms and the two partition leaf storage rooms in the silk making workshop are taken as an example, and are respectively configured according to the following table:
pre-warning of corresponding color between mixed wires and maintenance measures taken
Figure BDA0002555509800000151
Early warning of corresponding color between stored leaves and maintenance measures taken
Figure BDA0002555509800000152
Figure BDA0002555509800000161
From the above detailed description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus an essential general hardware platform. With this understanding in mind, the technical solutions of the present matter, as well as portions of the contributions to the art, may be embodied in the form of software products, which may be stored on a storage medium, such as ROM/RAM. A disk, disc, etc. containing instructions for causing a computing device (which may be a personal computer, server, or network device, etc.) to perform the methods described in the various embodiments or portions of embodiments of the present application.
The embodiments in the present specification are described by using cross reference or progressive methods, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the method embodiment for relevant points. The above-described system and system embodiments are merely illustrative, wherein the illustrated units as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. Can be understood and carried out by those skilled in the art without inventive effort.

Claims (8)

1. A global insect pest monitoring system, comprising:
the insect attracting plate is arranged at an insect attracting point fixed in a workshop and is used for providing a surface for adhering the tobacco insects;
the insect condition acquisition terminal is arranged on the insect attracting plate and used for acquiring insect condition information of the insect attracting point; the insect condition information comprises an insect attracting plate image;
the cloud server is in communication connection with all the insect pest situation acquisition terminals and is used for operating a global insect pest situation monitoring platform;
the global insect condition monitoring platform comprises:
the workshop partition management module is used for configuring all the partitions of the workshop according to the use conditions of all the process points and configuring the position of the insect trapping point in each partition;
the terminal configuration management module is used for configuring the uploading period of the insect situation information provided by each insect situation acquisition terminal;
and the insect condition information identification module is used for receiving the insect condition information and outputting real-time insect condition data and partition maintenance reminding information of each partition in an uploading period.
2. The global pest situation monitoring system according to claim 1, wherein: the insect condition acquisition terminal is provided with a bowl-shaped shell which is buckled on the insect attracting plate; the bowl-shaped shell is provided with a top inclined plane covering the vertical projection of the bowl-shaped shell and a through hole positioned on the side surface and/or the bottom surface of the bowl-shaped shell; the total cross-sectional area of all the through holes is more than 50cm2
3. The global pest situation monitoring system according to claim 1, wherein: the vibration frequency of the insect inducing point is less than 20Hz, and/or the illuminance is more than 5 lux and less than 50 lux, and/or the dust concentration is less than 2mg/m2
4. The global pest situation monitoring system according to claim 1, wherein: the cloud server is in communication connection with the statistical process control system of the workshop, and the insect condition information identification module outputs the insect condition risk data of each partition according to the production process information and the real-time insect condition data provided by the statistical process control system.
5. The global population insect situation monitoring system of claim 1 or 5, wherein: the system comprises a client side for providing a graphical interface and a global map for displaying all the subareas of the workshop, wherein each subarea of the global map is filled with output data of an insect situation information identification module for marking the area by using colors.
6. A method for designing a global insect pest monitoring system for configuring the global insect pest monitoring system of claims 1 to 4, wherein: the method comprises the following steps: acquiring an insect attracting point alternative area of each process point of the workshop universe according to a uniform selection index and recording the insect attracting point alternative area into a universe insect condition monitoring system; setting the deployment density of the insect trapping points in the workshop in a global insect condition monitoring system; deploying an insect pest collecting terminal according to the position of the insect trapping point output by the global insect pest monitoring system; and configuring the insect condition risk index of each partition and a maintenance measure corresponding to the insect condition risk index in the global insect condition monitoring system.
7. The design method of the global insect pest monitoring system according to claim 6, wherein the insect pest risk index configuration method of the global insect pest monitoring system comprises the following steps:
step 1, obtaining a partition and an insect trapping point position of a global insect situation monitoring system;
step 2, establishing a risk evaluation table of a partition according to a history database of the global insect situation monitoring system;
step 3, periodically searching potential hazard points of the insect source of the subareas;
step 4, determining an insect situation risk index corresponding to each insect source hidden danger point in the subarea;
and 5, taking the maximum value of the insect condition risk indexes corresponding to each insect source hidden danger point of the subarea as the insect condition risk index of the subarea.
8. The method of claim 7, wherein the global population insect pest monitoring system comprises: the risk assessment table comprises an insect situation density risk assessment table, an insect source hidden danger point and material nearest distance risk assessment table, an insect source hidden danger point environment illumination intensity risk assessment table, an insect source hidden danger point environment dust thickness risk assessment table and a regional comprehensive insect situation risk assessment table.
CN202010588421.6A 2020-06-24 2020-06-24 Global insect condition monitoring system and design method thereof Active CN111736555B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010588421.6A CN111736555B (en) 2020-06-24 2020-06-24 Global insect condition monitoring system and design method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010588421.6A CN111736555B (en) 2020-06-24 2020-06-24 Global insect condition monitoring system and design method thereof

Publications (2)

Publication Number Publication Date
CN111736555A true CN111736555A (en) 2020-10-02
CN111736555B CN111736555B (en) 2022-09-09

Family

ID=72650922

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010588421.6A Active CN111736555B (en) 2020-06-24 2020-06-24 Global insect condition monitoring system and design method thereof

Country Status (1)

Country Link
CN (1) CN111736555B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113749077A (en) * 2021-09-06 2021-12-07 江苏中烟工业有限责任公司 Tobacco beetle population density investigation method for tobacco storage warehouse
CN114577576A (en) * 2022-04-01 2022-06-03 湖北中烟工业有限责任公司 Method for manufacturing tobacco insect pest situation monitoring material

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140279600A1 (en) * 2013-03-15 2014-09-18 Mitchell Barry Chait Automated monitoring of pest traps in a distributed work environment
CN104604825A (en) * 2015-02-27 2015-05-13 李翊玮 Sticky trapping type tobacco pest trapper
CN207007727U (en) * 2017-06-30 2018-02-13 红塔烟草(集团)有限责任公司 A kind of smoked sheet storage condition insect damage detecting device
CN207167517U (en) * 2017-08-28 2018-04-03 红塔烟草(集团)有限责任公司 A kind of outdoor tobacco leaf storage trapping worm Insect infestation monitoring device
CN109670658A (en) * 2017-10-13 2019-04-23 贵州中烟工业有限责任公司 A kind of cigarette insect pest methods of risk assessment
CN208908929U (en) * 2018-10-23 2019-05-31 河南中烟工业有限责任公司 A kind of insect pest situation early warning system
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
CN111179266A (en) * 2020-01-15 2020-05-19 河北润宜机电科技有限公司 Artificial intelligence analysis system for tobacco insects

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140279600A1 (en) * 2013-03-15 2014-09-18 Mitchell Barry Chait Automated monitoring of pest traps in a distributed work environment
CN104604825A (en) * 2015-02-27 2015-05-13 李翊玮 Sticky trapping type tobacco pest trapper
CN207007727U (en) * 2017-06-30 2018-02-13 红塔烟草(集团)有限责任公司 A kind of smoked sheet storage condition insect damage detecting device
CN207167517U (en) * 2017-08-28 2018-04-03 红塔烟草(集团)有限责任公司 A kind of outdoor tobacco leaf storage trapping worm Insect infestation monitoring device
CN109670658A (en) * 2017-10-13 2019-04-23 贵州中烟工业有限责任公司 A kind of cigarette insect pest methods of risk assessment
CN208908929U (en) * 2018-10-23 2019-05-31 河南中烟工业有限责任公司 A kind of insect pest situation early warning system
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
CN111179266A (en) * 2020-01-15 2020-05-19 河北润宜机电科技有限公司 Artificial intelligence analysis system for tobacco insects

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113749077A (en) * 2021-09-06 2021-12-07 江苏中烟工业有限责任公司 Tobacco beetle population density investigation method for tobacco storage warehouse
CN113749077B (en) * 2021-09-06 2022-08-12 江苏中烟工业有限责任公司 Tobacco beetle population density investigation method for tobacco storage warehouse
CN114577576A (en) * 2022-04-01 2022-06-03 湖北中烟工业有限责任公司 Method for manufacturing tobacco insect pest situation monitoring material

Also Published As

Publication number Publication date
CN111736555B (en) 2022-09-09

Similar Documents

Publication Publication Date Title
JP7455061B2 (en) System and method
Preti et al. Insect pest monitoring with camera-equipped traps: strengths and limitations
US11723344B2 (en) Agricultural monitoring system using image analysis
US11659826B2 (en) Detection of arthropods
CN111736555B (en) Global insect condition monitoring system and design method thereof
CN106991619A (en) A kind of diseases and pests of agronomic crop intelligent diagnosis system and diagnostic method
CN112167201A (en) Tobacco worm early warning feedback system
KR102645710B1 (en) Integrated management system for honey source and beekeeping and management method thereof
CN203480284U (en) Orchard environment information monitoring system based on Internet of Things
EP3522704A1 (en) Identification of beneficial insects and/or pollutants in a field for crop plants
CN113379769A (en) Intelligent defense platform for crop diseases and insect pests
König IndusBee 4.0–integrated intelligent sensory systems for advanced bee hive instrumentation and hive keepers' assistance systems
CN112150498A (en) Method and device for determining posture information, storage medium and electronic device
US11612145B1 (en) Tracking and monitoring bees pollination efficiency
CN113067864A (en) Artificial intelligence cigarette worm identification system based on thing networking
Magner et al. Methods for assessing bee foraging preferences: a short review and a new automated apparatus
CN117575164A (en) Forestry pest informatization integrated management platform
Parameswari Artificial Intelligence and IOT Enabled Whiteflies Monitoring and Controlling System
JP2022553231A (en) Methods and systems for managing agricultural pesticides
CN118155144A (en) Vegetable planting pesticide input supervision system and method based on AI vision
CN113269655A (en) Wisdom farm management platform

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant