High-accuracy pest counting testing device adopting speed reduction curve

Abstract

The utility model relates to the field of intelligent storage equipment and big data granary prevention and control, in particular to a high-accuracy pest counting and testing device adopting a speed reduction curve. The testing device is a counting channel part (9), a curved-surface light hole (8) is formed in the counting channel part, the curved-surface light hole (8) is a through hole for insects to pass through, and a photoelectric sensor mounting position (10) is arranged on the curved-surface light hole (8). Aiming at solving the problem that counting is easy to miss due to the fact that insects in stored grains are too small and straight pipelines are easy to miss; the bent channel is creatively adopted, when insects fall off, buffering and speed reduction can be conducted for one time, when the insects fall off, enough reaction time is provided for the photoelectric sensor, and the counting precision is improved. The method can greatly improve the technical accuracy, and belongs to a creative breakthrough. And the method is creatively applied to the field of grain bulk granaries.

Description

Technical Field

[0001] This utility model relates to intelligent warehousing equipment and big data grain warehouse prevention and control, and in particular to a high-accuracy pest counting test device using a deceleration curve. Background Technology

[0002] Ensuring food security is a challenging task.

[0003] Currently, grain condition monitoring systems are still the primary means of monitoring the ecological environment of grain storage, and they can only monitor changes in grain pile temperature. However, pests are a very serious factor contributing to grain storage losses. Inadequate pest control during storage can easily lead to pest outbreaks, causing severe grain losses. Among the many methods of integrated pest management, pest trapping and inspection is a crucial component.

[0004] However, existing pest trapping equipment usually lacks monitoring capabilities, requiring manual monitoring and recording of trapped pest information on a regular basis. The monitoring work of existing pest trapping equipment consumes a lot of time and manpower and is easily affected by weather factors.

[0005] A search conducted on May 11, 2024, using the abstract keywords "pests and monitoring and counting" in the China Patent Publication Database yielded 114 relevant documents. These documents are: CN106342772A - An automatic monitoring and early warning method for modern agricultural pests based on the Internet of Things, cloud computing, and big data; CN105334834A - An automatic monitoring and early warning system for modern agricultural pests based on the Internet of Things, cloud computing, and big data; CN206150249U - A novel mosquito monitoring instrument; CN213367983U - A pest monitoring device; CN114698614A - A three-dimensional arrangement method for a tobacco pest monitoring system in a closed space; CN108629399A - An agricultural pest monitoring device based on the Internet of Things; CN210094423U - A remote counting and diagnostic device for rice pests; CN112602682A - A pest trapping and monitoring device in a grain warehouse; CN207300302U - A real-time monitoring device for forest pests; CN110250125A - A pest target pheromone trapping and monitoring system; CN220140595U - A A height-adjustable insect pheromone trap monitoring device; CN209357104U - An automatic pest quantity counting and monitoring device for agricultural Internet of Things; CN217657804U - An automated fruit fly monitoring instrument; CN203101968U - An agricultural pest monitoring system; CN105580802A - An automatic monitoring device and monitoring method for the Oriental migratory locust nymph; CN308244267S - An intelligent terminal for insect pest monitoring (enclosed dustproof type); CN308244266S - An intelligent terminal for insect pest monitoring (open cover dustproof type); CN218 789976U - An agricultural and forestry pest monitoring instrument; CN209132153U - A crop pest monitoring device using a multispectral camera; CN108925524A - An automatic pest counting device based on a piezoelectric sensor; CN113091822A - An intelligent monitoring device for municipal landscaping; CN202582595U - A pest monitoring and transmission system and an electric shock pest control device with the system; CN102599131A - A pest monitoring and transmission system and an electric shock pest control device with the system; CN204540481 U - Insecticidal lamp capable of counting the number of insects killed; CN215224191 U - Insect trapping and monitoring device to prevent double counting; CN202184062U - Insect trapping and monitoring equipment; CN102308780A - Insect trapping and monitoring equipment; CN218184824U - Computer-based insect quantity monitoring device; CN216018641 U - Intelligent insect control and monitoring device; CN104778494A - Multi-sensor target recognition algorithm for insect counting; CN205695184U - Device for trapping and killing oriental fruit flies using smell and vision;CN105707035A - A device and method for trapping and killing oriental fruit flies using olflies and vision; CN115147740A - An aerial monitoring system and method for agricultural and forestry pests and diseases based on spectral and image recognition; CN208338710U - A regionalized network monitoring and early warning device for wolfberry pests and diseases; CN116076446A - A combined high-throughput visual selection device for flies and its usage method; CN203840995U - A field peak forecasting device for adult tea geometrid moths; CN104460648A - An intelligent integrated pest detector; CN1759661A - A pest monitoring and control method and its black light lamp; CN114594236A - A simple and rapid method for investigating soil fleas in edible fungi.

[0006] After careful comparison:

[0007] CN220140595U discloses a height-adjustable pest pheromone monitoring device that uses grating counting, has counting and image acquisition and analysis functions, and also has the function of automatically adjusting the height of the acquisition device, thereby realizing the adjustment of the lure height; however, this technology cannot accurately count small-sized stored grain pests.

[0008] The remote real-time pest monitoring system based on the Internet of Things (IoT) disclosed in CN116248656A, applied by Changzhou University, uses IoT image recognition, remote monitoring, transmission and control technologies to feed survey data back to the monitoring center for analysis, constructing a remote pest monitoring network for crops, and timely obtaining the dynamic evolution process of pest population occurrence and development, thereby improving the accuracy and timeliness of forecasts.

[0009] CN215642779U discloses a pest trapping, monitoring, and counting device, which includes a trapping cylinder, a collection tube, an infrared sensor, a control device, and an insect-killing device, wherein the insect passage is placed vertically.

[0010] CN206877361 U discloses an automatic counting system for tree-climbing pests. The system includes: a crawling trajectory sensing device, a data acquisition and processing device, a data remote transmission device, and a power supply device, all electrically connected to each other; it employs a complex algorithm to count the pests.

[0011] CN103136580A discloses a novel real-time counting device and method for pest population statistics and monitoring pest density. This invention mainly consists of a power grid structure, a voltage regulator, and a counting detector; its key feature is that when a pest passes through the power grid, the grid discharges at high voltage, causing a change in current; each current change corresponds to one count.

[0012] Based on the above comprehensive research, none of the various technologies can be applied to grain depots. The environment of a grain depot is different from that of farmland because a grain depot is an independent ecosystem. Various insects that store grain have characteristics such as small size and the ability to crawl through crevices; and straight pipes are prone to missing data in the count.

[0013] Based on the above analysis, a further search was conducted using "pests and monitoring and counting and bending" as the abstract keywords. The search time was May 11, 2024. A search was conducted in the China Patent Publication Database using "pests and monitoring and counting and bending" as the abstract keywords, but no literature was found.

[0014] The search result was found on May 11, 2024, on CNKI (China National Knowledge Infrastructure). Zhou Jin and Zhou Aiping from the School of Information Engineering at Taizhou University published a paper titled "Design of an Insect Monitoring System Based on Artificial Intelligence". The paper describes how the system recognizes insect images to enable the machine to identify and judge different types of insects. However, it cannot solve the problem that the insects in the stored grain are too small and that straight pipes are prone to missing counts.

[0015] Therefore, the shortcomings of existing technology are:

[0016] 1. Unable to solve the problem that the insects in the stored grain are too small, and that straight pipes are prone to missing the count;

[0017] 2. The issue of further intelligentization of attractants and insect-attracting channels remains unresolved;

[0018] 3. The inability to fully cover the grain depot with temperature monitoring cables inevitably results in some blind spots;

[0019] 4. It cannot solve the problem that existing pest trapping equipment usually does not have a monitoring function, requiring manual monitoring and recording of trapped pest information on a regular basis. The monitoring work of existing pest trapping equipment consumes a lot of time and manpower and is easily affected by weather factors.

[0020] 5. It cannot solve the problem of the current low level of intelligent decision-making in grain depots.

[0021] To address the aforementioned technical issues, four sets of technical solutions are provided in this patent document. Utility Model Content

[0022] The purpose of this utility model is to provide a more effective method for comprehensive grain storage and control. Specific objectives are detailed in the specific implementation section, which outlines several substantive technical effects.

[0023] To achieve the above objectives, this utility model adopts the following four sets of technical solutions:

[0024] Option 1: Use a high-accuracy pest counting test device with a deceleration curve.

[0025] Option 2: Insect containment device with a bait release mechanism;

[0026] Option 3: A comprehensive intelligent device for early warning of grain conditions based on grain storage ecological factors;

[0027] Option 4: Comprehensive Grain Storage Prevention and Control Methods;

[0028] Option 5: A monitoring module for food security.

[0029] in:

[0030] Option 1 is the connecting part of Option 2, and Option 1 is the technical basis for the pest control technology part of Option 3 and Option 4.

[0031] Option 2 is the connecting part of Option 1, and Option 2 is the technical basis for the pest control technology part of Option 3 and Option 4.

[0032] Option 3 is the technical basis for Option 4;

[0033] Option 4 is a comprehensive solution combining options 1 to 3, including implementation methods and operational procedures.

[0034] Option 1:

[0035] A high-accuracy pest counting test device using a deceleration curve is characterized in that the test device is a counting channel part 9, the counting channel part contains a curved light hole 8, the curved light hole 8 is a through hole for insects to pass through, and a photoelectric sensor mounting position 10 is arranged on the curved light hole 8.

[0036] A further technical solution of this utility model is that the curved surface aperture 8 is an S-shaped through hole.

[0037] A further technical solution of this utility model is that the photoelectric sensor mounting position 10 includes two and is arranged symmetrically; an infrared counting sensor is installed in the symmetrically arranged photoelectric sensor mounting position 10.

[0038] A further technical solution of this utility model is that the photoelectric sensor installation position 10 includes one and a sensor can be placed therein, and the sensor can monitor the passing insects.

[0039] A further technical solution of this utility model is that the photoelectric sensor mounting position 10 includes one or more groups, and one or more groups of photoelectric sensor mounting positions 10 refers to photoelectric sensor mounting positions 10 being arranged as counting units at different positions above and below the curved light hole 8.

[0040] A further technical solution of this utility model is that when the photoelectric sensor is installed in the photoelectric sensor installation position 10, it does not protrude from the inner wall of the curved light hole 8.

[0041] A further technical solution of this utility model is that the curved light hole 8 includes a bent portion for slowing down the insect body.

[0042] A further technical solution of this utility model is that an installation sleeve 11 is arranged below the counting channel section 9 for connecting the insect containing section 13.

[0043] A further technical solution of this utility model is that the opening above the curved light hole 8 is a conical structure, and the surface of the conical structure is also a smooth surface.

[0044] A further technical solution of this utility model is that the opening above the curved light hole 8 is connected to the insect-attracting tube 4.

[0045] Option 2: An insect containment device with a bait release section, characterized in that the containment device includes a bait release section 14, the bait release section 14 has a cone-shaped structure, and bait release holes 15 are arranged on it. The bait release holes 15 contain bait, and the bait release holes 15 are oblique holes or variable diameter holes, which can prevent pests from crawling out.

[0046] A further technical solution of this utility model is that an insect-containing part 13 is connected or integrally formed above the bait release part 14, and the insect-containing part 13 is a ring wall; the outside of the insect-containing part 13 is provided with threads or buckles 12 for docking with the above.

[0047] A further technical solution of this utility model is that there is no barrier between the bait release part 14 and the insect containment part 13.

[0048] A further technical solution of this utility model is that a filter screen 20 is included between the bait release part 14 and the insect containment part 13, and the pore size of the filter screen 20 is capable of blocking the insect body.

[0049] A further technical solution of this utility model is that a shaping support portion 16 is arranged outside the bait release portion 14, and the shaping support portion 16 includes a support prism.

[0050] A further technical solution of this utility model is that the filter screen 20 is white.

[0051] A further technical solution of this utility model is that the filter screen 20 is provided with graduated grids.

[0052] A further technical solution of this utility model is that it also includes a camera part 19 capable of taking pictures of the filter 20.

[0053] A further technical solution of this utility model is that the camera part 19 is arranged on the inner wall of the insect containing part 13.

[0054] A further technical solution of this utility model is that a hand-held hole is also arranged at the end of the shaping support part 16.

[0055] Option 3: A comprehensive intelligent device for grain condition early warning based on grain storage ecological factors, characterized in that,

[0056] The integrated intelligent device includes the upper part 1;

[0057] The upper part is connected to the lower part of the insect-attracting tube 4. The insect-attracting tube 4 is provided with inclined insect-attracting holes 5 or variable diameter inclined insect-attracting holes 5. The lower part of the insect-attracting tube 4 is connected to the closed outer shell part 6. The lower part of the closed outer shell part 6 is connected to the conical bottom part 7 by threads.

[0058] in:

[0059] The enclosed shell part 6 is equipped with a high-accuracy pest counting test device with a deceleration curve. The test device is a counting channel part 9. The counting channel part contains a curved light hole 8. The curved light hole 8 is a through hole for insects to pass through. A photoelectric sensor mounting position 10 is arranged on the curved light hole 8. The counting part is installed in the photoelectric sensor mounting position 10.

[0060] The cone base 7 is a closed cone shell, and an insect containment device with an insecticide release part is arranged in the cone shell. The containment device includes an insecticide release part 14, which is a cone-shaped structure with an insecticide release hole 15 arranged on it. The insecticide release hole 15 contains an insecticide and is an oblique hole or a variable diameter hole, which can prevent pests from crawling out.

[0061] The counting section is connected to the central control section; the central control section is connected to the display screen and the antenna; the antenna is capable of IoT communication.

[0062] A further technical solution of this utility model is that the central control unit is connected to a temperature sensor and / or a humidity sensor.

[0063] A further technical solution of this utility model is that a temperature sensor and / or a humidity sensor are installed on the inner wall of the insect-attracting tube 4.

[0064] A further technical solution of this utility model is that a display screen 3 is arranged on the upper part 1.

[0065] A further technical solution of this utility model is that a battery and a circuit board are arranged in the housing of the upper part 1, and the circuit board is the circuit board of the central control part and the circuit board of the antenna.

[0066] A further technical solution of this utility model is that a handle part 2 is arranged on the upper part 1; a mains power connection port, a data acquisition interface, and a battery charging interface are arranged on the upper part 1.

[0067] A further technical solution of this utility model is that the curved light hole 8 of the high-accuracy pest counting test device with a deceleration curve is an S-through hole.

[0068] The photoelectric sensor mounting positions 10 include two symmetrically arranged photoelectric sensor mounting positions 10, and infrared counting sensors are installed in the symmetrically arranged photoelectric sensor mounting positions 10; or, the photoelectric sensor mounting positions 10 include one and a sensor can be installed therein, and the sensor can monitor the passing insects; or, the photoelectric sensor mounting positions 10 include one or more groups, which means that photoelectric sensor mounting positions 10 are arranged as counting units at different positions above and below the curved light hole 8.

[0069] When the photoelectric sensor is installed in the photoelectric sensor installation position 10, it does not protrude from the inner wall of the curved light hole 8;

[0070] The curved aperture 8 includes a bent section for slowing down the insect body;

[0071] Below the counting channel section 9, there is an installation sleeve 11 for connecting the insect containing section 13;

[0072] The upper opening of the curved aperture 8 is a conical structure, and the surface of the conical structure is also a smooth surface;

[0073] The opening above the curved light hole 8 is connected to the insect-attracting tube 4.

[0074] A further technical solution of this utility model is that there is no barrier between the bait release part 14 and the insect containment part 13 of the insect containment device with bait release part; or a filter screen 20 is included between the bait release part 14 and the insect containment part 13, and the pore size of the filter screen 20 is able to block the insect body.

[0075] The trapping agent release part 14 is externally provided with a shaping support part 16, which includes a support prism; the filter screen 20 is white; the filter screen 20 is provided with a scale grid; and it also includes a camera part 19 that can take pictures of the filter screen 20.

[0076] The camera unit 19 is arranged on the inner wall of the insect-containing part 13;

[0077] A hand-held hole is also provided at the end of the shaping support part 16.

[0078] A further technical solution of this utility model is that the insect-attracting tube 4 includes multiple insect-attracting tubes 4 that can be threadedly connected.

[0079] A further technical solution of this utility model is that a fan is arranged in the upper part 1, and the fan can be used for single-pipe ventilation; a gas concentration sensor is also arranged inside the integrated intelligent device.

[0080] Option 4: A comprehensive grain storage prevention and control method, characterized in that...

[0081] This method employs a comprehensive grain storage prevention and control system, which consists of a front-end system and a back-end system.

[0082] The front-end system is responsible for visualizing the information provided by the back-end system. The visualization includes location information, temperature, humidity, oxygen content data, alarm and warning information, and expert guidance information.

[0083] The backend system is functionally divided into three parts: a data management system, an API call system, and a user management system. The data management system is responsible for pulling and managing data from the cloud, local storage, and synchronization with cloud service data. The API call system retrieves corresponding data by querying local data, calls the cloud data analysis API, passes in parameters, and returns the corresponding processing and analysis results. The user management system is responsible for verifying user registration, user information modification, permission allocation and authentication, and other restrictions.

[0084] A further technical solution of this utility model is that the workflow of the comprehensive grain storage prevention and control system is as follows:

[0085] 1) The backend retrieves data uploaded from the cloud and determines whether the number of pests exceeds the threshold. If it does, an alarm message is displayed on the front-end page, and the data is also passed to the expert decision-making model to provide targeted professional advice and guidance. If it does not exceed the threshold, the data is imported into the pest growth prediction model. Based on the returned results, it is determined whether the threshold is exceeded. If the threshold is exceeded, the expert decision-making model is called to provide advice and guidance.

[0086] 2) The front end visualizes various data such as location information, temperature, humidity, and oxygen content based on the feedback, and provides corresponding alarm prompts and expert opinions based on whether there is alarm information feedback.

[0087] The specific functions of the comprehensive grain storage prevention and control system are as follows:

[0088] (1. Real-time data stream retrieval;)

[0089] (2) Data management: querying, managing, revising, and setting thresholds for various types of data retrieved;

[0090] (3. Calling the data analysis model: Import the acquired data into the data analysis model to obtain the prediction results, and determine whether to issue an alarm and provide feedback based on the results;

[0091] (4 User Management: Employee information registration, user permission allocation, employee information management, permission verification during login, verification of the current account usage time period, and verification of the number of users logged in during the current time period;

[0092] (5 Data visualization display: storage point distribution map and status display, warehouse distribution map and status display, grain pile data coupling result display and dynamic changes, grain pile data alarm display.

[0093] A further technical solution of this utility model is that the data retrieval of the grain storage integrated prevention and control system is provided by cloud service providers through API application interfaces or SDK software development kits for interaction with cloud services; the specific process is as follows: obtain access credentials (i.e., identity verification), use the data retrieval-related API or SDK, select the data retrieval method and send an HTTP request, write the data retrieval code, and periodically retrieve data to the local machine;

[0094] Data retrieval and modification:

[0095] Identity authentication and access credentials: When obtaining access credentials, ensure identity authentication and authorization are performed to verify the user's legitimacy and permissions;

[0096] API and SDK calls: Based on the cloud service provider's API documentation and SDK, write code to call the relevant APIs and SDKs;

[0097] Data query and modification: Use the cloud service provider's API to query and modify data; construct query parameters or modification parameters based on specific conditions and send the request to the cloud service; obtain the query results of cloud data, or confirm whether the data modification was successful;

[0098] Local data storage: In local applications, a corresponding data storage structure is set up to store data obtained from the cloud and data that needs to be synchronized locally;

[0099] Scheduled task and event-triggered data synchronization: Use scheduled tasks or event-triggered mechanisms to trigger data synchronization operations periodically or in real time;

[0100] Data analysis model invocation: The specific process for invoking a remote data analysis model is as follows: determine the remote call protocol of the interface (HTTP or RESTful API), confirm the method and data format of the analysis model interface, write client code to send a request to the remote end, write server code to parse the request data, call the corresponding method, and construct the corresponding data to return to the front end for display;

[0101] User Management: Identity Authentication and Access Control: such as username / password authentication or multi-factor authentication, to ensure the authenticity of user identity; assign different roles and permissions to different users to ensure that users can only access the resources and functions they are authorized to access;

[0102] Employee Information Registration and Management: Design an employee information registration function to allow employees to register in the system and fill in the necessary personal information; administrators can review and confirm employee information to ensure the accuracy and completeness of the information;

[0103] Permission assignment: Administrators can assign appropriate roles and permissions to employees based on their positions and needs;

[0104] Login permission verification: When a user logs in, the system needs to perform permission verification to check whether the user has permission to access the system.

[0105] Current account usage time period verification: For specific accounts, usage time period restrictions can be set to ensure that login is only allowed within the specified time period;

[0106] Current time period login user count limit check: The system can monitor the number of users logging in during the current time period in real time and perform a check when a login request arrives; if the number of login users exceeds the limit, a rate limiting strategy can be adopted, such as returning an error message;

[0107] Data visualization presentation:

[0108] Front-end visualization framework: Choose a suitable front-end visualization framework. The framework provides a wealth of charts and visualization components to facilitate the display of data and interactive operations, thereby visualizing the corresponding data returned by the back-end.

[0109] Interaction and Filtering: Enables interactive visualization, allowing users to filter and select data through interactive operations, thereby gaining a better understanding of the data;

[0110] Real-time data updates: Displays data changes in real time, using WebSocket technology to push and update data in real time.

[0111] A further technical solution of this utility model is that the deployment and operation process of the comprehensive grain storage prevention and control system includes the following steps:

[0112] Step 1: Based on the size of the warehouse, determine the locations, number, and deployment depth of the integrated intelligent devices for grain condition early warning based on grain storage ecological factors;

[0113] Step 2: Geographically mark and number the locations;

[0114] Step 3: Check the battery level, install the equipment and the built-in induction core, adjust the insertion depth of the overall device, and then debug the device; then install the corresponding number of integrated intelligent devices for grain condition early warning based on grain storage ecological factors.

[0115] Step 4: Collect information on the time and number of insects that fell into the ground; the insect falling situation is measured using photoelectric sensors; collect temperature and humidity information.

[0116] Step 5: Through integrated information collection via the Internet of Things, the central control system analyzes the data, including pest and grain condition analysis and measurement.

[0117] A further technical solution of this utility model is that, after analyzing and measuring insect and grain conditions, it also includes providing early warnings for abnormal situations.

[0118] A further technical solution of this utility model is that the Internet of Things integrated information collection is the summary and collection of insect and grain conditions across the whole country, the whole region, and the whole storage area.

[0119] A further technical solution of this utility model is that it also includes a step of manually or AI-based identification of insect photographs in the integrated intelligent device arrangement for grain condition early warning based on grain storage ecological factors.

[0120] A further technical solution of this utility model is that, before AI recognition, big data is used to train the recognition of photos of stored grain insects.

[0121] A further technical solution of this utility model is that an attractant is placed in the bait release part 14 to attract and trap stored grain pests.

[0122] A further technical solution of this utility model is that the insect-attracting tube 4 can be used as a temporary ventilation tube for ventilation, and can be used in conjunction with the grain temperature measuring cable to achieve blind spot arrangement in the warehouse.

[0123] Option 5: A safety alarm device based on the mobility of grain piles, characterized in that the central control part of the circuit board is communicatively connected to an angle sensor module, the angle sensor module includes an attitude sensor, the attitude sensor is communicatively connected to a secondary power supply module, and the secondary power supply module is communicatively connected to the main control and local area network communication module of the terminal unit.

[0124] The terminal's main control and local area network (LAN) communication modules are connected to the LAN communication module, which in turn is connected to the main control module. The main control module is connected to the 4G communication module, which in turn is connected to the gateway power module and the audible and visual alarm module.

[0125] The 4G communication module connects to the cloud server, and the cloud server connects to the mobile device and the PC.

[0126] A further technical solution of this utility model is that the secondary power supply module is a secondary MCU.

[0127] A further technical solution of this utility model is that the angle sensor module is a LIS2DW12TR accelerometer motion and positioning sensor.

[0128] A further technical solution of this utility model is that the main control and local area network communication module is a CC2530 Zigbee module.

[0129] A further technical solution of this utility model is that the gateway power module is a power module capable of providing power for network communication.

[0130] A further technical solution of this utility model is that the sound and light alarm module is a sound and light alarm device.

[0131] The present invention, employing the above technical solution, offers the following advantages over existing technologies: Addressing the problem that "short-lived insects in grain storage are difficult to count due to their small size, straight pipes easily miss them," this patent innovatively uses a curved channel. This allows for a buffer and deceleration when insects fall, providing sufficient reaction time for the photoelectric sensor and increasing counting accuracy. This significantly improves technical accuracy and represents a groundbreaking breakthrough. Furthermore, it is an innovative application in the field of grain storage and silos.

[0132] Addressing the challenge of "the inability to further intelligentize the attractant and insect-attracting channels," this patent innovatively utilizes attractants and various orifices to release insects, and transforms the complex microenvironment into data, facilitating subsequent intelligent information collection and management.

[0133] Addressing the problem that "the temperature measuring cables in grain depots cannot be fully deployed, inevitably resulting in some blind spots," this patent innovatively utilizes this structure to achieve blind spot-free deployment.

[0134] In response to the problem that "existing pest trapping equipment usually lacks monitoring capabilities, requiring manual monitoring and recording of trapped pest information on a regular basis, and the monitoring work of existing pest trapping equipment consumes a lot of time and manpower and is easily affected by weather factors," this patent innovatively avoids the consumption of manpower and time, and can achieve real-time pest monitoring.

[0135] This patent addresses the problem of "the current grain depots not having a high level of intelligent decision-making capabilities." It innovatively improves upon existing intelligent decision-making methods to a much higher degree. Attached Figure Description

[0136] To further illustrate this utility model, the following description is provided in conjunction with the accompanying drawings:

[0137] Figure 1 This is a comprehensive flowchart for the utility model.

[0138] Figure 2 A structural diagram of the core insect-collecting part of the utility model;

[0139] Figure 3 This is a structural diagram of the utility model.

[0140] Figure 4 This is a three-dimensional structural diagram of the lower half of the utility model.

[0141] Figure 5 This is a perspective view of the slow-release insect-collecting part at the bottom of the utility model.

[0142] Figure 6 A schematic diagram for calculating the number of insects;

[0143] Figure 7 This is a structural diagram of the upper handle section;

[0144] Figure 8 This is a perspective view of the lower half of the utility model.

[0145] Figure 9 An improved perspective view of the lower half of the utility model;

[0146] Figure 10 A partial view of another aspect of the utility model;

[0147] Figure 11 This is one of the system architecture implementation diagrams;

[0148] Figure 12 This invention relates to a safety alarm device based on the mobility of grain piles.

[0149] The components include: 1. Top section; 2. Handle section; 3. Display screen; 4. Insect-attracting tube; 5. Tilted insect-attracting hole; 6. Enclosed outer shell section; 7. Conical bottom section; 8. Curved light hole; 9. Counting channel section; 10. Photoelectric sensor mounting position; 11. Mounting sleeve; 12. Thread or snap; 13. Insect-containing section; 14. Trapping agent release section; 15. Trapping agent release hole; 16. Shaping support section; 17. Insect lowering hole; 18. Photoelectric sensor; 19. Camera section; 20. Filter screen; 21. Slow-release escape space; 22. Threaded connection section. Detailed Implementation

[0150] The present invention will be further explained below with reference to the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention. In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," "top," and "bottom," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. In addition, unless otherwise expressly specified and limited, the terms "installation," "connection," and "joining" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal connection of two components. For those skilled in the art, the specific meaning of the above terms in the present invention can be understood according to the specific circumstances.

[0151] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0152] This patent provides multiple parallel solutions; the different descriptions represent improved or parallel solutions based on a basic solution. Each solution has its own unique characteristics. Furthermore, the technical features involved in the different embodiments of this utility model described below can be combined with each other as long as they do not conflict with each other. Fixing methods not described herein can be any type of fixing, such as threaded fixing, bolt fixing, or adhesive bonding.

[0153] Example 1: Combining Figure 2 and Figure 4 and Figure 6 ;

[0154] A high-accuracy pest counting test device employing a deceleration curved channel is characterized by a counting channel section 9, which internally includes a curved light aperture 8. The curved light aperture 8 is a through-hole for insects to pass through, and a photoelectric sensor mounting position 10 is arranged on the curved light aperture 8. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: Addressing the shortcomings of existing technologies that "cannot solve the problem of missing insects due to their small size in stored grains, and straight channels easily lead to missed counts," this patent innovatively employs a curved channel, allowing for a buffer and deceleration when insects fall, and providing sufficient reaction time for the photoelectric sensor to further increase counting accuracy. This significantly improves technical accuracy and represents a groundbreaking breakthrough.

[0155] Example 2: As a further improvement, parallel solution, or optional independent solution, the curved aperture 8 is an S-shaped through hole. The substantive technical effect and implementation process of the technical solution here, i.e., the basic function, are as follows: the S-shaped through hole is only one implementation structure, and similar implementation structures are all within the protection scope of this patent.

[0156] Example 3: As a further improvement, parallel, or optional independent solution, the photoelectric sensor mounting positions 10 include two symmetrically arranged positions; infrared counting sensors are installed in the symmetrically arranged photoelectric sensor mounting positions 10. The substantive technical effect and implementation process of the technical solution here, i.e., the basic function, are as follows: This embodiment and Example 4 are parallel solutions, and the infrared counting technology adopted is existing technology.

[0157] Example 4: As a further improvement, parallel solution, or optional independent solution, the photoelectric sensor mounting position 10 includes one and can accommodate a sensor capable of monitoring passing insects. The substantive technical effect and implementation process of the technical solution described herein, i.e., its basic function, are as follows: Example 4 employs a single sensor sensing method.

[0158] Example 5: As a further improvement, parallel, or optional independent solution, the photoelectric sensor mounting position 10 includes one or more groups. One or more photoelectric sensor mounting positions 10 refer to photoelectric sensor mounting positions 10 arranged as counting units at different positions above and below the curved light aperture 8. The substantial technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: This embodiment mainly uses a comprehensive counting method. Counting is counted if any group of photoelectric sensors completes the count; two simultaneous trigger signals within a short period are counted as one, to ensure and avoid false triggering and partial sensor malfunction.

[0159] Example 6: As a further improvement, parallel, or optional independent solution, when the photoelectric sensor is installed in the photoelectric sensor mounting position 10, it does not protrude from the inner wall of the curved light hole 8. The substantial technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: This embodiment is a preferred implementation detail, avoiding obstruction of the insect's falling trajectory after protruding from the inner wall.

[0160] Example 7: As a further improvement, parallel solution, or optional independent solution, the curved aperture 8 includes a bent portion for slowing down the insect. The substantive technical effect and implementation process of the technical solution here, i.e., its basic function, are as follows: Similar implementation methods provide a better identification environment and falling speed for the accurate identification of small insects.

[0161] Example 8: As a further improvement, parallel solution, or optional independent solution, a mounting sleeve 11 is arranged below the counting channel section 9 for connecting the insect containing section 13. The substantial technical effect and implementation process of the technical solution here, i.e., the basic function, are as follows: This embodiment provides a specific connection relationship, and similar implementation structures are all within the protection scope of this patent.

[0162] Example 9: As a further improvement, parallel, or optional independent solution, the opening above the curved light hole 8 is a conical structure, and the surface of the conical structure is also a smooth surface. The substantial technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: the conical structure, as a smooth surface, facilitates the further sliding of insects.

[0163] Example 10: As a further improvement, parallel, or optional independent solution, the opening above the curved light hole 8 is connected to the insect-attracting tube 4. The substantial technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: This embodiment is a preferred docking method. In fact, Solution 1 can be used in any insect counting environment or counting other small structures other than insects.

[0164] Option 2:

[0165] Example 11: As a further improvement, parallel, or optional independent solution, an insect containment device with a bait release section is characterized in that the containment device includes a bait release section 14, which has a conical structure with bait release holes 15 arranged thereon. The bait release holes 15 contain bait, and are angled or variable-diameter holes to prevent insects from crawling out. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: the bait release holes 15 are used for the release of bait, i.e., attractants such as pheromones, to facilitate insect descent.

[0166] Example 12: As a further improvement, parallel, or optional independent solution, an insect-containing portion 13 is connected to or integrally formed above the bait release part 14. The insect-containing portion 13 is a ring wall; the insect-containing portion 13 is externally arranged with threads or snaps 12 for docking with the upper part. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: This embodiment provides a specific docking and implementation structure, and similar structures are all within the protection scope of this patent.

[0167] Example 13: As a further improvement, parallel, or optional independent solution, there is no barrier between the bait release section 14 and the insect containment section 13. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: Under this solution, the bait release section 14 and the insect containment section 13 are a single unit. Example 14, which follows, is a parallel solution to this example.

[0168] Example 14: As a further improvement, parallel solution, or optional independent solution, a filter 20 is included between the bait release section 14 and the insect containment section 13. The pore size of the filter 20 is sufficient to block insects. The substantial technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: Therefore, it facilitates the release of the bait while isolating insects from the bait, achieving a dual effect. In essence, the bait can be released with the bait release section 14 facing upwards or through the filter 20 facing upwards. In this case, the slow-release escape space 21 can also be used to disperse the attractant.

[0169] Example 15: As a further improvement, parallel, or optional independent solution, the external part of the bait release section 14 is provided with a shaped support section 16, which includes support ribs. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: the shaped support section 16 is used for installation, positioning, and fixation, making assembly more convenient. In particular, the bait release section 14 is essentially a detachable structure.

[0170] Example 16: As a further improvement, parallel, or optional independent solution, filter 20 is white. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: White provides a technical foundation for subsequent intelligent recognition, especially for image recognition, and provides a technical foundation for the automatic and timely identification of potential pests and their species. Big data is used to train the recognition on the photos, referring to the "Illustrated Handbook of Chinese Grain Storage Insects".

[0171] Example 17: As a further improvement, parallel, or optional independent solution, the filter 20 is provided with graduated grids. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: the graduated grids are used to facilitate comparison of insect sizes and for accurate insect identification. The body size and length of stored food insects are important evaluation indicators.

[0172] Example 18: As a further improvement, parallel, or optional independent solution, it also includes a camera unit 19 capable of taking pictures of the filter 20. The substantial technical effect and implementation process of the technical solution here, i.e., its basic function, are as follows: the camera unit 19 can capture video or photos in real time for manual observation or intelligent recognition.

[0173] Example 19: As a further improvement, parallel solution, or optional independent solution, the camera part 19 is arranged on the inner wall of the insect-containing part 13. The substantive technical effect and implementation process of the technical solution here, i.e., the basic function, are as follows: similar fixing methods are all within the protection scope of this patent.

[0174] Example 20: As a further improvement, parallel, or optional independent solution, a hand-held hole is also provided at the end of the shaping support portion 16. The substantial technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: the hand-held hole is used for convenient replacement.

[0175] Option 3:

[0176] Example 21: As a further possible improvement, parallel solution, or optional independent solution, a comprehensive intelligent device for grain condition early warning based on grain storage ecological factors is characterized in that,

[0177] The integrated intelligent device includes the upper part 1;

[0178] The upper part is connected to the lower part of the insect-attracting tube 4. The insect-attracting tube 4 is provided with inclined insect-attracting holes 5 or variable diameter inclined insect-attracting holes 5. The lower part of the insect-attracting tube 4 is connected to the closed outer shell part 6. The lower part of the closed outer shell part 6 is connected to the conical bottom part 7 by threads.

[0179] in:

[0180] The enclosed shell part 6 is equipped with a high-accuracy pest counting test device with a deceleration curve. The test device is a counting channel part 9. The counting channel part contains a curved light hole 8. The curved light hole 8 is a through hole for insects to pass through. A photoelectric sensor mounting position 10 is arranged on the curved light hole 8. The counting part is installed in the photoelectric sensor mounting position 10.

[0181] The cone base 7 is a closed cone shell, and an insect containment device with an insecticide release part is arranged in the cone shell. The containment device includes an insecticide release part 14, which is a cone-shaped structure with an insecticide release hole 15 arranged on it. The insecticide release hole 15 contains an insecticide and is an oblique hole or a variable diameter hole, which can prevent pests from crawling out.

[0182] The counting section is connected to the central control section via communication; the central control section is connected to the display screen and the antenna via communication; the antenna is capable of IoT communication. The substantive technical effect and implementation process of the technical solution described herein, i.e., its basic function, are as follows: a method for comprehensive grain storage prevention and control, characterized in that...

[0183] This method employs a comprehensive grain storage prevention and control system, which consists of a front-end system and a back-end system.

[0184] The front-end system is responsible for visualizing the information provided by the back-end system. The visualization includes location information, temperature, humidity, oxygen content data, alarm and warning information, and expert guidance information.

[0185] The backend system is functionally divided into three parts: a data management system, an API call system, and a user management system. The data management system is responsible for pulling and managing data from the cloud, local storage, and synchronization with cloud service data. The API call system retrieves corresponding data by querying local data, calls the cloud data analysis API, passes in parameters, and returns the corresponding processing and analysis results. The user management system is responsible for verifying user registration, user information modification, permission allocation and authentication, and other restrictions.

[0186] The insects are lured by the attractant and enter the insect trap 4, where they are then counted as they fall.

[0187] Addressing the problem that "short-lived insects in grain storage systems are difficult to count due to their small size, and straight pipes easily miss them," this patent innovatively employs a curved channel. This allows for a buffer and slowdown as insects fall, providing sufficient reaction time for the photoelectric sensor and increasing counting accuracy. This significantly improves technical accuracy and represents a groundbreaking breakthrough. Furthermore, it is an innovative application in the field of grain storage and silos.

[0188] Addressing the challenge of "the inability to further intelligentize the attractant and insect-attracting channels," this patent innovatively utilizes attractants and various orifices to release insects, and transforms the complex microenvironment into data, facilitating subsequent intelligent information collection and management.

[0189] Addressing the problem that "the temperature measuring cables in grain depots cannot be fully deployed, inevitably resulting in some blind spots," this patent innovatively utilizes this structure to achieve blind spot-free deployment.

[0190] In response to the problem that "existing pest trapping equipment usually lacks monitoring capabilities, requiring manual monitoring and recording of trapped pest information on a regular basis, and the monitoring work of existing pest trapping equipment consumes a lot of time and manpower and is easily affected by weather factors," this patent innovatively avoids the consumption of manpower and time, and can achieve real-time pest monitoring.

[0191] This patent addresses the problem of "the current grain depots not having a high level of intelligent decision-making capabilities." It innovatively improves upon existing intelligent decision-making methods to a much higher degree.

[0192] Example 22: As a further improvement, parallel, or optional independent solution, the central control unit is communicatively connected to a temperature sensor and / or a humidity sensor. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: it can collect information from multiple angles.

[0193] Example 23: As a further improvement, parallel solution, or optional independent solution, a temperature sensor and / or humidity sensor is installed on the inner wall of the insect-attracting tube 4. The substantive technical effect and implementation process of the technical solution described herein, i.e., its basic function, are as follows: similar installation positions are all within the scope of protection of this patent.

[0194] Example 24: As a further improvement, parallel, or optional independent solution, a display screen 3 is arranged on the upper part 1. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: providing a more convenient basis for on-site observation and operation.

[0195] Example 25: As a further improvement, parallel solution, or optional independent solution, a battery and a circuit board are arranged in the housing of the upper part 1. The circuit board is the circuit board of the central control part and the circuit board of the antenna. The substantial technical effect and implementation process of the technical solution here, i.e., the basic function, are as follows: Undoubtedly, the above technology is feasible. Even if serial cables are used to connect the individual units, it is still within the scope of protection of this patent.

[0196] Example 26: As a further improvement, parallel, or optional independent solution, a handle 2 is arranged on the upper part 1; the upper part 1 is equipped with an AC power connection port, a data acquisition interface, and a battery charging interface. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: AC power can be used for charging in variant situations where there is no battery.

[0197] Example 27: As a further possible improvement, parallel solution, or optional independent solution, the curved light aperture 8 of the high-accuracy pest counting test device with deceleration curve is an S-through hole.

[0198] The photoelectric sensor mounting positions 10 include two symmetrically arranged photoelectric sensor mounting positions 10, and infrared counting sensors are installed in the symmetrically arranged photoelectric sensor mounting positions 10; or, the photoelectric sensor mounting positions 10 include one and a sensor can be installed therein, and the sensor can monitor the passing insects; or, the photoelectric sensor mounting positions 10 include one or more groups, which means that photoelectric sensor mounting positions 10 are arranged as counting units at different positions above and below the curved light hole 8.

[0199] When the photoelectric sensor is installed in the photoelectric sensor installation position 10, it does not protrude from the inner wall of the curved light hole 8;

[0200] The curved aperture 8 includes a bent section for slowing down the insect body;

[0201] Below the counting channel section 9, there is an installation sleeve 11 for connecting the insect containing section 13;

[0202] The upper opening of the curved aperture 8 is a conical structure, and the surface of the conical structure is also a smooth surface;

[0203] The opening above the curved light hole 8 is connected to the insect-attracting tube 4.

[0204] Example 28: As a further improvement, parallel, or alternative independent solution, the insect containing device with a bait release part has no barrier between the bait release part 14 and the insect containing part 13; or the bait release part 14 and the insect containing part 13 include a filter 20, the pore size of which is capable of blocking insects.

[0205] The trapping agent release part 14 is externally provided with a shaping support part 16, which includes a support prism; the filter screen 20 is white; the filter screen 20 is provided with a scale grid; and it also includes a camera part 19 that can take pictures of the filter screen 20.

[0206] The camera unit 19 is arranged on the inner wall of the insect-containing part 13;

[0207] A hand-held hole is also provided at the end of the shaping support part 16.

[0208] Example 29: As a further improvement, parallel, or optional independent solution, the insect-attracting tube 4 comprises multiple tubes 4 that can be threadedly connected. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: it can effectively change the length.

[0209] Example 30: As a further improvement, parallel, or optional independent solution, a fan is arranged in the upper part 1, which can be used for single-pipe ventilation; a gas concentration sensor is also arranged inside the integrated intelligent device. The substantive technical effect and implementation process of this technical solution, i.e., its basic function, are as follows: for emergency ventilation in special circumstances, which is a functional extension.

[0210] Option 4:

[0211] Example 31: As a further improvement, parallel, or optional independent solution, the workflow of the integrated grain storage prevention and control system is as follows:

[0212] 1) The backend retrieves data uploaded from the cloud and determines whether the number of pests exceeds the threshold. If it does, an alarm message is displayed on the front-end page, and the data is also passed to the expert decision-making model to provide targeted professional advice and guidance. If it does not exceed the threshold, the data is imported into the pest growth prediction model. Based on the returned results, it is determined whether the threshold is exceeded. If the threshold is exceeded, the expert decision-making model is called to provide advice and guidance.

[0213] 2) The front end visualizes various data such as location information, temperature, humidity, and oxygen content based on the feedback, and provides corresponding alarm prompts and expert opinions based on whether there is alarm information feedback.

[0214] The specific functions of the comprehensive grain storage prevention and control system are as follows:

[0215] (1. Real-time data stream retrieval;)

[0216] (2) Data management: querying, managing, revising, and setting thresholds for various types of data retrieved;

[0217] (3. Calling the data analysis model: Import the acquired data into the data analysis model to obtain the prediction results, and determine whether to issue an alarm and provide feedback based on the results;

[0218] (4 User Management: Employee information registration, user permission allocation, employee information management, permission verification during login, verification of the current account usage time period, and verification of the number of users logged in during the current time period;

[0219] (5 Data visualization display: storage point distribution map and status display, warehouse distribution map and status display, grain pile data coupling result display and dynamic changes, grain pile data alarm display.

[0220] Example 32: As a further improvement, parallel, or optional independent solution, the data retrieval of the grain storage integrated prevention and control system utilizes API application programming interfaces or SDK software development kits provided by cloud service providers for interaction with cloud services. The specific process is as follows: obtain access credentials (i.e., authentication), use the data retrieval-related API or SDK, select the data retrieval method and send an HTTP request, write the data retrieval code, and periodically retrieve data to the local machine.

[0221] Data retrieval and modification:

[0222] Identity authentication and access credentials: When obtaining access credentials, ensure identity authentication and authorization are performed to verify the user's legitimacy and permissions;

[0223] API and SDK calls: Based on the cloud service provider's API documentation and SDK, write code to call the relevant APIs and SDKs;

[0224] Data query and modification: Use the cloud service provider's API to query and modify data; construct query parameters or modification parameters based on specific conditions and send the request to the cloud service; obtain the query results of cloud data, or confirm whether the data modification was successful;

[0225] Local data storage: In local applications, a corresponding data storage structure is set up to store data obtained from the cloud and data that needs to be synchronized locally;

[0226] Scheduled task and event-triggered data synchronization: Use scheduled tasks or event-triggered mechanisms to trigger data synchronization operations periodically or in real time;

[0227] Data analysis model invocation: The specific process for invoking a remote data analysis model is as follows: determine the remote call protocol of the interface (HTTP or RESTful API), confirm the method and data format of the analysis model interface, write client code to send a request to the remote end, write server code to parse the request data, call the corresponding method, and construct the corresponding data to return to the front end for display;

[0228] User Management: Identity Authentication and Access Control: such as username / password authentication or multi-factor authentication, to ensure the authenticity of user identity; assign different roles and permissions to different users to ensure that users can only access the resources and functions they are authorized to access;

[0229] Employee Information Registration and Management: Design an employee information registration function to allow employees to register in the system and fill in the necessary personal information; administrators can review and confirm employee information to ensure the accuracy and completeness of the information;

[0230] Permission assignment: Administrators can assign appropriate roles and permissions to employees based on their positions and needs;

[0231] Login permission verification: When a user logs in, the system needs to perform permission verification to check whether the user has permission to access the system.

[0232] Current account usage time period verification: For specific accounts, usage time period restrictions can be set to ensure that login is only allowed within the specified time period;

[0233] Current time period login user count limit check: The system can monitor the number of users logging in during the current time period in real time and perform a check when a login request arrives; if the number of login users exceeds the limit, a rate limiting strategy can be adopted, such as returning an error message;

[0234] Data visualization presentation:

[0235] Front-end visualization framework: Choose a suitable front-end visualization framework. The framework provides a wealth of charts and visualization components to facilitate the display of data and interactive operations, thereby visualizing the corresponding data returned by the back-end.

[0236] Interaction and Filtering: Enables interactive visualization, allowing users to filter and select data through interactive operations, thereby gaining a better understanding of the data;

[0237] Real-time data updates: Displays data changes in real time, using WebSocket technology to push and update data in real time.

[0238] Example 33: As a further improvement, parallel, or optional independent solution, the deployment and operation process of the integrated grain storage prevention and control system includes the following steps:

[0239] Step 1: Based on the size of the warehouse, determine the locations, number, and deployment depth of the integrated intelligent devices for grain condition early warning based on grain storage ecological factors;

[0240] Step 2: Geographically mark and number the locations;

[0241] Step 3: Check the battery level, install the equipment and the built-in induction core, adjust the insertion depth of the overall device, and then debug the device; then install the corresponding number of integrated intelligent devices for grain condition early warning based on grain storage ecological factors.

[0242] Step 4: Collect information on the time and number of insects that fell into the ground; the insect falling situation is measured using photoelectric sensors; collect temperature and humidity information.

[0243] Step 5: Through integrated information collection via the Internet of Things, the central control system analyzes the data, including pest and grain condition analysis and measurement.

[0244] Example 34: As a further improvement, parallel, or optional independent solution, the analysis and measurement of insect and grain conditions also includes early warning for abnormal situations. The substantive technical effects and implementation process of the technical solution described herein, i.e., its basic functions, are as follows: it can intelligently set risk thresholds for automatic judgment, or it can be judged manually.

[0245] Example 35: As a further possible improvement, parallel solution, or optional independent solution, the Internet of Things integrated information collection is the aggregation and collection of pest and grain conditions across the entire country, region, and storage area. The substantive technical effect and implementation process of the technical solution presented here, i.e., its basic function, are as follows: to achieve large-scale overall control of pest and grain conditions in grain storage areas.

[0246] Example 36: As a further improvement, parallel solution, or optional independent solution, it also includes a step of manual or AI recognition of insect photographs in the deployment of a single integrated intelligent device for grain condition early warning based on grain storage ecological factors. Prior to AI recognition, big data is used to train the recognition of photographs of stored grain insects.

[0247] Example 37: As a further improvement, parallel, or alternative independent option, an attractant is placed in the bait release section 14 to attract stored grain pests.

[0248] Example 38: As a further improvement, parallel, or optional independent solution, the insect trap 4 can be used as a temporary ventilation tube for ventilation, and can be used in conjunction with the grain temperature measuring cable to achieve blind spot arrangement in the warehouse.

[0249] This project aims to develop a grain storage ecological environment monitoring and early warning system to improve the intelligence level of grain storage management, enhance the ability to perceive ecological environment data during grain storage, and effectively reduce the labor intensity of manual inspections by storage management personnel. The system will closely monitor key ecological environment data such as pests, temperature, humidity, and oxygen, and through monitoring, prediction, and early warning functions, comprehensively improve the dynamic perception and control capabilities of the grain storage ecological environment.

[0250] 1. The sensor transmits data wirelessly to the cloud for storage, and local storage can be implemented according to customer requirements.

[0251] 2. For querying, managing, revising, setting alarm thresholds, and configuring monitoring point codes and sensor parameters for various data such as temperature, humidity, oxygen content, and pest count at storage points and warehouses.

[0252] 3. User information management, including user registration, modification and deletion of user information, and user permission verification (permissions, account usage time period, number of users logged in during the current time period).

[0253] 4. Obtain cloud data parameters, call existing data analysis models, obtain the returned results, and then visualize the data of storage points, warehouses, and grain piles according to permissions.

[0254] This patented upgrade is a comprehensive system that effectively senses the ecological environment of grain storage and monitors and analyzes key influencing factors such as temperature, humidity, oxygen content, and insects and mold.

[0255] It can dynamically monitor the ecological environment of grain storage, and automatically collect and analyze various ecological environment data affecting grain storage by combining big data and Internet of Things technologies. This enables the automation and informatization of the perception of the ecological environment of grain storage, while significantly reducing the labor intensity of warehouse personnel, improving work efficiency, and promoting the improvement of intelligent management in the grain storage industry.

[0256] 1. Utilize big data and Internet of Things technologies to innovate technical means for monitoring the ecological environment of grain storage;

[0257] 2. Integrate sensing devices such as temperature and humidity sensors, oxygen concentration sensors, and insect and mold sensors to achieve automated data collection, monitoring, and early warning.

[0258] 3. Using the growth model of insects and mold, comprehensively analyze the ecological environment of stored grain, predict the development trend of insects and mold, and assess the degree of impact of insects and mold;

[0259] 4. An innovative intelligent expert decision-making system that combines system data with basic grain storage conditions to comprehensively evaluate and guide front-line warehousing work;

[0260] 5. Self-developed high-efficiency attractant to achieve automatic trapping of pests;

[0261] 6. By adopting an information-based network model and combining it with dynamic sensing sensors, technical means are provided for grain supervision and monitoring to achieve dynamic supervision of grain.

[0262] The grain storage ecological environment monitoring and early warning system mainly consists of in-warehouse monitoring sensors.

[0263] It consists of a cloud-based data processing center and client operating software (Web version and APP version), and has functions such as LED screen display, QR code display, and mobile operation (tablet computer).

[0264] 1. Grain storage ecological environment sensing and monitoring device

[0265] (1) It consists of one main monitoring point and several secondary monitoring points (usually eight).

[0266] Forming a whole warehouse information sensing network;

[0267] (2) Real-time monitoring of temperature, humidity, and oxygen concentration inside the warehouse; temperature, humidity, and insects in the grain pile.

[0268] Ecological and environmental information such as mold quantity;

[0269] (3) Configure dynamic sensors to effectively perceive the physical dynamic changes of the grain pile.

[0270] 2. Early warning of insect and mold hazard levels

[0271] Using relevant ecological and environmental data automatically collected from monitoring points within the warehouse, based on...

[0272] The growth model for the same type of pest calculates the future (if no control intervention is implemented) 1, 2,

[0273] The pest growth over 4, 6, and 8 weeks is categorized into different risk levels.

[0274] 3. Provide intelligent and personalized expert decision-making advice.

[0275] Based on monitoring data and pre-built mathematical models, relevant data are analyzed in a timely manner to...

[0276] Information regarding the ecological environment of grain storage, including temperature, humidity, oxygen, and pests and mold, is promptly issued as early warnings and forecasts. Based on expert decision-making, the system automatically provides relevant storage operation information, guiding frontline storage personnel to handle grain conditions in a timely manner and ensuring grain safety.

[0277] Option 5:

[0278] Example 39: As a further improvement, parallel solution, or optional independent solution, it should be noted that the multiple modules of this patent are an integration of existing technology modules and do not involve new modules. Even if some modules use programs, these programs are undoubtedly known programs.

[0279] A safety alarm device based on the mobility of grain piles, characterized in that,

[0280] The central control section of the circuit board is communicatively connected to the angle sensor module, which includes an attitude sensor. The attitude sensor is communicatively connected to the secondary power supply module, and the secondary power supply module is communicatively connected to the main control and local area network communication module of the terminal unit.

[0281] The terminal's main control and local area network (LAN) communication modules are connected to the LAN communication module, which in turn is connected to the main control module. The main control module is connected to the 4G communication module, which in turn is connected to the gateway power module and the audible and visual alarm module.

[0282] The 4G communication module connects to the cloud server, which in turn connects to the mobile and PC terminals. The technical solution described here achieves the following results and implementation process: An attitude sensor is integrated into the device's main circuit board. When someone steals grain, it causes the grain to flow within the grain silo, causing the equipment to tip over. The attitude sensor, through its internal accelerometer and gyroscope, converts the equipment's acceleration and angular velocity into electrical signals. Internal analysis and calculations then obtain the distance components on the x, y, and z axes, which are further converted into familiar angles. The MCU reads the data from the attitude sensor in real time. When the angle exceeds a set threshold, the MCU controls the Zigbee module to transmit the information to the gateway device, which then triggers an audible and visual alarm within the grain silo. Simultaneously, the main gateway uploads the alarm data to the cloud, which then controls the PC and mobile interfaces to display alarm pop-ups. Staff, regardless of their location, can receive the alarm signal and proceed to the grain depot to maintain grain security by using the corresponding mobile device.

[0283] Example 40: As a further improvement, parallel solution, or optional independent solution, the secondary power supply module is a secondary MCU.

[0284] Example 41: As a further possible improvement, parallel solution, or optional independent solution, the angle sensor module is a LIS2DW12TR accelerometer motion and positioning sensor. Example 42: As a further possible improvement, parallel solution, or optional independent solution, the main control and local area network communication module is a CC2530 Zigbee module.

[0285] Example 43: As a further improvement, parallel solution, or optional independent solution, the gateway power module is a power module capable of providing power for network communication.

[0286] Example 44: As a further improvement, parallel, or optional independent solution, the audible and visual alarm module is an audible and visual alarm device.

[0287] The control system on the PC and the access on the mobile phone are undoubtedly existing technologies.

[0288] Innovatively, each of the above effects exists independently, yet a single structure can be used to combine the results.

[0289] It should be noted that the multiple modules in this patent are an integration of existing technology modules and do not involve any new modules. Even if some modules use programs, those programs are undoubtedly known programs.

[0290] It should be noted that the multiple solutions provided in this patent include their own basic solutions, which are independent of each other and do not restrict each other. However, they can also be combined with each other without conflict to achieve multiple effects.

[0291] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of this utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claims.

Claims

1. A high-accuracy pest counting test device employing a deceleration curve, characterized in that, The testing device is a counting channel section (9), which contains a curved light hole (8). The curved light hole (8) is a through hole for insects to pass through. A photoelectric sensor mounting position (10) is arranged on the curved light hole (8). The curved light hole (8) is a curved channel with a bend, which can buffer and slow down the falling insect, providing sufficient reaction time for the photoelectric sensor to improve counting accuracy. The curved light hole (8) is an S-shaped through hole with a conical opening at the top. The conical structure surface is smooth, which facilitates the insect to slide into the curved light hole (8). When the photoelectric sensor is installed in the photoelectric sensor installation position (10), it does not protrude from the inner wall of the curved light hole (8) to avoid blocking the falling trajectory of the insect.

2. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, The curved surface aperture (8) is an S-shaped through hole.

3. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, The photoelectric sensor mounting positions (10) include two symmetrically arranged positions; infrared counting sensors are installed in the symmetrically arranged photoelectric sensor mounting positions (10).

4. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, The photoelectric sensor mounting location (10) includes one and in which a sensor can be placed to monitor passing insects.

5. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, The photoelectric sensor mounting position (10) includes one or more sets. One or more sets of photoelectric sensor mounting positions (10) means that photoelectric sensor mounting positions (10) are arranged as counting units at different positions above and below the curved light hole (8).

6. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, When the photoelectric sensor is installed in the photoelectric sensor mounting position (10), it does not protrude from the inner wall of the curved light hole (8).

7. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, The curved aperture (8) includes a bent portion for slowing down the insect body.

8. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, Below the counting channel section (9) is an installation sleeve (11) for connecting the insect-containing section (13).

9. The high-accuracy pest counting test device using a deceleration curve as described in claim 1, characterized in that, The opening above the curved aperture (8) is a conical structure, and the surface of the conical structure is also a smooth surface.

10. The high-accuracy pest counting test device using a deceleration curve as described in claim 9, characterized in that, The opening above the curved light hole (8) is connected to the insect-attracting tube (4).

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