Intelligent monitoring equipment for rats and monitoring system thereof
Intelligent rodent monitoring equipment using IoT and AI technologies has solved the problems of inadequate supervision and unreal-time monitoring in existing rodent control, enabling precise monitoring and efficient management of rodents and improving the accuracy and real-time nature of rodent extermination efforts.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-25
- Publication Date
- 2026-04-07
AI Technical Summary
Existing rodent control methods suffer from problems such as inadequate supervision, unreal-time monitoring, insufficient data utilization, waste of human resources, and difficulty in precise control, resulting in poor rodent control effectiveness.
By employing IoT and AI technologies, intelligent monitoring devices and systems are used to monitor rat activity in real time using pressure sensors, infrared sensors, and IoT modules. Combined with cloud servers for data analysis and early warning, precise monitoring and management are achieved.
It has improved the accuracy and real-time nature of rodent monitoring, reduced the waste of human resources, achieved precise prevention and scientific management of rodents, and improved the efficiency and effectiveness of rodent control work.
Smart Images

Figure CN121795408A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of rodent control equipment, in particular to a rodent intelligent monitoring device and a monitoring system thereof. BACKGROUND
[0002] Rodents are closely related to human life, have a large number of rodents, wide distribution, and frequent migration, and are the media for the occurrence and prevalence of various infectious diseases such as plague, epidemic hemorrhagic fever, and leptospirosis. In addition, rodents will gnaw furniture, food, home appliances, wires and cables, etc., which will seriously affect the living environment and safety. The control of rodent density is not only an important measure for the prevention and control of rodent-borne infectious diseases, but also one of the important work contents of the patriotic health movement. Each year, a large amount of resources is invested in public environmental rodent control work. At present, the traditional working methods such as laying poison mouse houses, plugging mouse holes, clearing mouse traces, and fixed-point drug delivery are still widely used by professional disease vector prevention and control service agencies. However, there are the following shortcomings:
[0003] 1. The regulatory agencies cannot clearly know the number and location of the rodent control facilities laid, and cannot effectively supervise the daily work of the professional disease vector prevention and control service agencies such as equipment maintenance, inspection, and rodenticide management;
[0004] 2. The existing rodent density control effect evaluation method is not timely, and cannot reflect the real-time rodent activity situation in the jurisdiction area, and the rodent control effect lacks scientific and objective evaluation;
[0005] 3. The traditional rodent control work table data is not fully utilized, and the rodent activity risk monitoring and early warning work cannot be carried out by using the data.
[0006] 4. The professional disease vector prevention and control service agencies need to spend a lot of human resources to inspect and maintain the rodent control facilities, and the inspection is not targeted;
[0007] 5. The professional disease vector prevention and control service agencies cannot accurately grasp the areas where rodents are active, and only carry out rodent control in specific areas after finding mouse traces or receiving complaints, which cannot focus on prevention and control, accurate prevention and control, and lacks scientific rodent control plan. SUMMARY
[0008] The present application provides a rodent intelligent monitoring device and a monitoring system thereof, which realizes accurate monitoring and management of rodent damage by using advanced technologies such as Internet of Things and artificial intelligence deep learning.
[0009] To achieve the above purpose, the present application adopts the following technical solutions:
[0010] The application discloses a kind of intelligent monitoring equipment of rodents, including trapping station and server receiving trapping station signal, the trapping station includes box and the box cover hinged with one side of box, two openings are opened at both ends of the box, for enabling mouse to enter into box, inner box is arranged in the box, the inner box is in convex type and is laid out, wherein the two ends of symmetry are equipped with internet of things module and correspond to two openings, so that mouse can step on the inner box when entering the box, pressure sensor and pressure plate are arranged at the convex end and the middle of the inner box, the pressure sensor is arranged in the inner box, for sensing the activity and foraging of mouse, one end of the pressure plate is hinged with the edge of the inner box, and the other end is in abutment with the pressure sensor, bait hopper for placing mouse bait is arranged on the pressure plate on the convex end of the inner box, infrared sensor is further arranged on the side of the convex end of the inner box, during the foraging process of mouse entering the box, the infrared sensor and the pressure sensor can sense the activity of mouse, and cooperate with the internet of things module to upload mouse activity information to the server, and the server analyzes and judges the uploaded mouse activity information.
[0011] As preferred, the internet of things module uses 4G communication as data transmission means to ensure that monitoring data can be uploaded to the server in real time.
[0012] An intelligent monitoring system of rodents based on the intelligent monitoring equipment of rodents of claims 1-3, the monitoring system includes data acquisition module, communication module, power module, internet of things platform, cloud server and sensor module in the intelligent monitoring equipment of rodents, the sensor module is used to detect the activity of mouse in the intelligent monitoring equipment of rodents, the data acquisition module uses microcontroller to receive and process the data of sensor module in real time, the communication module uses narrowband internet of things NB-IOT and 4G cellular network wireless communication protocol according to the strength of communication signal in different deployment environments, and simultaneously adopts cache mechanism to ensure reliable transmission and storage of data, the power module uses real-time or timing wake-up mode to provide stable power supply for sensor module, the internet of things platform is used to store and analyze the data of data acquisition module, and manage the intelligent monitoring equipment of rodents, and the cloud server is responsible for running mouse activity artificial intelligence algorithm and statistical analysis and mining of monitoring data.
[0013] As preferred, the sensor module includes internet of things module, pressure sensor and infrared sensor arranged in the intelligent monitoring equipment of rodents
[0014] Compared with the prior art, the beneficial effects of the present application are that the intelligent mouse monitoring device and monitoring system have obvious advantages in improving the accuracy, automation level and data real-time of mouse damage monitoring compared with the traditional mouse house; the traditional mouse house usually uses methods such as night trapping to monitor and control mouse damage, these methods are simple and easy to operate, but have problems such as high technical requirements for laying, great influence by environment, unstable monitoring results, etc., and the introduction of the intelligent sensing and monitoring device realizes the improvement of the efficiency, accuracy and real-time of precise mouse damage monitoring and management through advanced technologies such as Internet of Things and artificial intelligence deep learning. BRIEF DESCRIPTION OF DRAWINGS
[0015] Figure 1 It is a front view structural schematic diagram of the present application;
[0016] Figure 2 It is a perspective view of the inner box of the present application;
[0017] Figure 3 It is an exploded view of the inner box of the present application;
[0018] Figure 4 It is a structural diagram of the monitoring system of the present application. DETAILED DESCRIPTION
[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments.
[0020] It should be noted that when a component / part is referred to as being "disposed on" another component / part, it can be directly disposed on the other component / part or there can be a middle component / part. When a component / part is referred to as being "connected / coupled" to another component / part, it can be directly connected / coupled to the other component / part or there can be a middle component / part. The term "connected / coupled" as used herein can include electrical and / or mechanical physical connection / coupling. The term "comprising / including" as used herein refers to the existence of the features, steps or components / parts, but does not exclude the existence or addition of one or more other features, steps or components / parts. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.
[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description herein is for describing specific embodiments only and is not intended to be limiting of the application.
[0022] Reference Figures 1 to 3As shown, a kind of intelligent monitoring equipment for rodents includes trapping station and server receiving trapping station signal, trapping station includes box body 1 and box cover 2 hinged with one side of box body 1, two openings are set in the both ends of box body 1, for enabling mouse to enter into box body, inner box 3 is arranged in box body 1, and inner box 3 is in convex type, and two symmetrical ends are provided with internet of things module 4 and correspond to two openings, so that mouse can step on inner box 3 when entering into box body 1.
[0023] Pressure sensor 5 and pressing plate 6 are arranged at the convex end and middle part of inner box 3, pressure sensor 5 is arranged in inner box 3, for sensing the activity and foraging of mouse, pressing plate 6 is hinged with the edge of inner box 3 at one end, and the other end is in abutment with pressure sensor 5, bait hopper 7 for placing mouse bait is arranged on the pressing plate 6 at the convex end of inner box 3, and infrared sensor 8 is further arranged at the side of the convex end of inner box 3, infrared sensor 8 and pressure sensor 5 can sense the activity of mouse in the process of mouse entering into box body 1 to forage, and internet of things module 4 uploads mouse activity information to server, and server analyzes and judges uploaded mouse activity information.
[0024] Internet of things module 4 uses 4G communication as data transmission means, to ensure that monitoring data can be uploaded to server in real time.
[0025] Referring to Figure 4 As shown, a kind of intelligent monitoring system for rodents is based on intelligent monitoring equipment for rodents, and the monitoring system includes data acquisition module, communication module, power module, internet of things platform, cloud server and sensor module in intelligent monitoring equipment for rodents, sensor module is used for detecting the activity of mouse in intelligent monitoring equipment for rodents, data acquisition module uses microcontroller to receive and process the data of sensor module in real time, communication module uses narrowband internet of things NB-IOT and 4G cellular network wireless communication protocol according to the strength of communication signal in different deployment environments, and simultaneously adopts cache mechanism to ensure reliable transmission and storage of data, power module uses real-time or timing wake-up mode to provide stable power supply for sensor module, internet of things platform is used for storing and analyzing the data of data acquisition module, and managing intelligent monitoring equipment for rodents, cloud server is responsible for running mouse activity artificial intelligence algorithm and statistical analysis and mining of monitoring data.
[0026] Sensor module includes internet of things module, pressure sensor and infrared sensor arranged in intelligent monitoring equipment for rodents.
[0027] The main function of monitoring system is:
[0028] (I) Real-time monitoring and early warning of rodent activity. 24-hour dynamic monitoring of data such as the number of rodent activities and activity time in the jurisdiction, construction of early warning models based on monitoring data, establishment of a risk early warning system, timely warning when exceeding thresholds, and guidance for vector-borne disease control agencies to carry out relevant extermination work in a timely manner.
[0029] (II) Monitoring and Early Warning of Poisoned Rat Bait. Dynamic monitoring of poisoned rat bait will be implemented. When the weight of the poisoned rat bait falls below the threshold or exceeds the expiration date, an early warning will be issued to guide vector control agencies to replenish the poisoned rat bait in a timely manner.
[0030] (III) Early Warning of Intelligent Device Anomalies. Early warnings will be issued promptly for any abnormal situations such as lost or malfunctioning intelligent devices, or the presence of foreign objects in the rodenticide trap, notifying relevant units for timely maintenance.
[0031] (iv) The regulatory agency provides real-time monitoring, which can obtain real-time information on rat activity and related statistics within the jurisdiction, and objectively assess the control effect. The geographic information system can intuitively display the number and location of rat traps in the jurisdiction, whether bait is placed in a timely manner, whether the bait has expired, and statistics on daily inspection and maintenance workload, so as to scientifically supervise the rat control work of the vector-borne disease control agency.
[0032] (V) In-depth analysis and utilization of monitoring data. The accumulated monitoring data will be thoroughly analyzed to identify trends and influencing factors in rodent activity, providing a scientific basis for developing long-term rodent control measures.
[0033] This monitoring equipment and system comes with a dedicated mobile app, which is divided into an on-site construction personnel end and a management end. On-site construction personnel can use the app to conveniently and quickly perform installation, inspection and maintenance of the smart rat house equipment; managers can use the app to view the rat activity in the area, the operation of the smart equipment, data statistical analysis and related early warning information in real time.
[0034] Compared with traditional rat traps, the intelligent rodent monitoring device and system of this invention have significant advantages in improving the accuracy, automation level, and real-time data of rodent monitoring. Traditional rat traps usually use methods such as overnight traps to monitor and control rodents. Although these methods are simple and easy to implement, they have problems such as high deployment technical requirements, great susceptibility to environmental influences, and unstable monitoring results. The introduction of intelligent sensing and monitoring devices, through advanced technologies such as the Internet of Things and artificial intelligence deep learning, has improved the efficiency, accuracy, and real-time performance of precise rodent monitoring and management.
[0035] Intelligent features: Each monitoring device is marked with latitude and longitude, which can intuitively display the monitoring location on a large screen map. It can monitor rodent activity in real time 24 hours a day, 365 days a year, and upload the monitoring data to the visualization platform in real time. The backend adds calculation formulas to automatically export warning charts about high, medium and low risk of rodent activity for relevant departments to refer to.
[0036] Monitoring and control go hand in hand: Intelligent rodent monitoring equipment can be used for rodent monitoring in disease control systems, and also for rodent control work by pest control operators (PCOs). This will effectively reduce rodent population density within the controlled area, significantly reduce the amount of manpower and rodenticides used by rodent control personnel, resulting in substantial economic, ecological, and social benefits. Intelligent rodent monitoring and trapping devices help improve the technological content of the pest control industry and have a very broad application prospect.
[0037] This monitoring system adopts NB-IoT communication to meet the basic signal transmission requirements of various urban industrial parks, residential communities, urban villages, public external environments, and internal mezzanines and basements of buildings, based on the signal from the operator's base station.
[0038] AI-powered intelligent analysis and management: This system analyzes data from infrared sensors, pressure plates, and bait weight sensors. Calculations are made based on infrared sensing, pressure plate counts, and bait weight loss to achieve precise monitoring and identification of rodent activity. This technology significantly improves the accuracy of rodent monitoring, reducing false alarms and missed alarms. Rodent infestation at monitoring points is assessed via computer or mobile app software. Compared to existing rodent trap monitoring and similar products in China, this intelligent rodent monitoring device adds a wireless bait shortage alarm function, representing a significant breakthrough in design. It is easy to install, provides accurate detection, and greatly reduces the use of powder-based rodent trap monitoring and the associated manual maintenance costs. In addition to monitoring, the product also collects and analyzes data to provide users with scientific guidance and strategies for rodent control.
[0039] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A rodent intelligent monitoring device, comprising a trapping station and a server for receiving signals from the trapping station, wherein the trapping station comprises a housing and a cover hinged to one side of the housing, characterized in that, Two openings are made at both ends of the box to allow mice to enter. Inside the box is an inner box, which is convex in shape. The symmetrical ends of the inner box contain IoT modules that correspond to the two openings, allowing mice to step on the inner box when they enter. Pressure sensors and pressure plates are located at the protruding ends and the middle of the inner box. The pressure sensors, located inside the inner box, detect mouse activity and feeding. One end of the pressure plate is hinged to the edge of the inner box, and the other end abuts against the pressure sensor. A bait hopper for placing mouse bait is located on the pressure plate at the protruding end of the inner box. An infrared sensor is also located on one side of the protruding end of the inner box. During the process of mice entering the box to feed, the infrared sensor and pressure sensor detect mouse activity and, in conjunction with the IoT module, upload the mouse activity information to a server. The server analyzes and judges the uploaded mouse activity information.
2. The intelligent rodent monitoring device according to claim 1, characterized in that, The IoT module uses 4G communication as the means of data transmission to ensure that monitoring data can be uploaded to the server in real time.
3. A rodent intelligent monitoring system, characterized in that, Based on the intelligent rodent monitoring device according to claims 1-3, the monitoring system includes a data acquisition module, a communication module, a power supply module, an IoT platform, a cloud server, and a sensor module located within the intelligent rodent monitoring device. The sensor module is used to detect the activity of rodents within the intelligent rodent monitoring device. The data acquisition module uses a microcontroller to receive and process data from the sensor module in real time. The communication module uses narrowband IoT (NB-IoT) and 4G cellular network wireless communication protocols depending on the strength of the communication signal in the deployment environment, and adopts a caching mechanism to ensure reliable data transmission and storage. The power supply module provides a stable power supply to the sensor module using a real-time or timed wake-up mode. The IoT platform is used to store and analyze data from the data acquisition module and manage the intelligent rodent monitoring device. The cloud server is responsible for running the artificial intelligence algorithm for rodent activity and for statistical analysis and mining of monitoring data.
4. The intelligent rodent monitoring system according to claim 3, characterized in that, The sensor module includes an Internet of Things (IoT) module, a pressure sensor, and an infrared sensor installed in the intelligent rodent monitoring device.