Target tracking and breeding monitoring system for establishing emission light source based on RFID (Radio Frequency Identification Device) and working method thereof

Abstract

The invention relates to the field of breeding monitoring, and discloses an RFID-based target tracking and breeding monitoring system for establishing an emission light source and a working method thereof, and the system comprises an RFID hardware assembly, a light source assembly, and a camera shooting and image analysis assembly. The working method corresponds to the system. According to the application, the RFID lighting electronic tag and the light source assembly are arranged on an animal body, and the card reader and the camera shooting and image analysis assembly are arranged in a farm; when the RFID lighting electronic tag receives a radio frequency signal of a card reader, the light-emitting assembly is activated, the light source assembly emits light with a specific wavelength, and a clear identifier is provided for the camera to capture an animal image; the camera transmits an image to the system server in the form of a pixel matrix, and the server performs target tracking and breeding monitoring based on the image, so that the limitation of traditional manual monitoring is eliminated, animal information can be accurately acquired in real time, and the problems of large environmental interference, inaccurate monitoring and the like in image capture in the prior art are solved; and an efficient and intelligent solution is provided for modern breeding management.

Description

Technical Field

[0001] The present application relates to the technical field of aquaculture monitoring, and specifically to a system for target tracking and aquaculture monitoring based on RFID to establish a light source emission and a working method thereof. Background Art

[0002] In today's livestock farming industry, efficient animal management and health monitoring are crucial, but existing technologies have many limitations, specifically:

[0003] Traditional animal monitoring methods mostly rely on regular manual visual inspections of groups. This method is not only labor-intensive, but also unable to conduct detailed observations of individual animals. Farmers can only make a rough assessment of the physical condition of the animal group based on experience, and it is difficult to detect abnormalities in the early stages of the disease in individual animals. For example, in the poultry farming industry, when avian influenza broke out, a large number of poultry died due to the inability to issue early warnings.

[0004] With the development of technology, some solutions have adopted a combination of RFID technology and video acquisition for animal monitoring. In Chinese Patent No. CN202410759676.2, an animal monitoring method, device, equipment and medium based on RFID tags are disclosed. The invention obtains information by detecting tags through RFID readers, and instructs wireless video acquisition nodes to collect images, thereby generating health index evaluation information. However, in terms of image capture, the invention is greatly interfered by environmental factors, such as changes in lighting, occlusions between animals, etc., resulting in poor accuracy of the acquired animal images, and the data quality provided for subsequent image analysis is not high, making it difficult to accurately reflect the true state of the animals. At the same time, the invention also has problems with adaptability and scalability in different breeding environments.

[0005] In summary, there is an urgent need for a new technical solution for target tracking and breeding monitoring based on RFID to establish a light source, so as to overcome the shortcomings of the existing technology and provide more accurate data for more precise target tracking and breeding monitoring of animals. Summary of the invention

[0006] The purpose of this application is to provide a system and a working method for target tracking and aquaculture monitoring based on RFID to establish an emitting light source, so as to solve the technical problems raised in the above background technology.

[0007] To achieve the above objectives, this application discloses the following technical solutions:

[0008] In the first aspect, the present application discloses a system for target tracking and aquaculture monitoring based on RFID to establish a light source, the system comprising:

[0009] An RFID hardware component, wherein the RFID hardware component includes an RFID light-on electronic tag and a card reader. When the RFID light-on electronic tag receives a radio frequency signal transmitted from the card reader, it generates an induced current to activate an internal chip and a self-contained light-emitting component;

[0010] A light source assembly, wherein the light source assembly is integrated with or connected to the RFID light-on electronic tag, and when the RFID light-on electronic tag is activated, the light source assembly emits light of a specific wavelength;

[0011] A video and image analysis component, the video and image analysis component includes a camera and a system server, the camera is used to capture an image of an animal with light emitted by the light source component, and transmit the image information to the system server in the form of a pixel matrix, and the system server performs target tracking and breeding monitoring based on the pixel matrix;

[0012] The RFID hardware component and the light source component are arranged on the body of the object to be tracked or monitored, and the camera and image analysis component is arranged in the breeding farm.

[0013] Preferably, the RFID light-on electronic tag activates the internal chip and the light-emitting component based on the electric energy converted from the radio frequency signal transmitted by the card reader; wherein the intensity of the radio frequency signal transmitted by the card reader is configured based on the light intensity required by the light source component, and the configuration is: S r =α1*I, where α1 is the preset RF signal strength adjustment parameter, I is the light intensity required by the light source assembly, S r The strength of the radio frequency signal emitted by the card reader is calculated, and the adjustment of the strength of the radio frequency signal emitted by the card reader is based on adjusting the output power of the card reader.

[0014] Preferably, the light source assembly uses an infrared LED chip as a light source, the light emitted by the light source is infrared light, and the required light intensity of the infrared light is adjusted based on a preset light intensity adjustment formula; wherein the light intensity adjustment formula is: Wherein, I0 is the initial light intensity at the reference temperature, e is the natural base, α2 is the preset temperature adjustment parameter, T is the real-time ambient temperature, α3 is the blocking rate of the body of the tracked or monitored object to the light emitted by the light source group obtained based on regression analysis, and I is the calculated light intensity required by the light source assembly.

[0015] Preferably, the card reader performs grid number management on the RFID light-on electronic tag, and the grid number management is to adjust the light intensity required by the light source assembly in different grid areas based on a preset light intensity difference formula; wherein the light intensity difference formula is I G =α4_G *I, where α 4_G is the light intensity difference adjustment parameter of different grid areas G obtained based on regression analysis, I is the light intensity required by the light source assembly, and I G is the light intensity required by the light source assembly in grid area G.

[0016] Preferably, the camera of the video and image analysis component is connected to the card reader. When the card reader activates the corresponding RFID light-up electronic tag, the camera is started at the same time, and the exposure time of the camera is adjusted based on a preset exposure time adjustment formula; wherein the exposure time adjustment formula is: Among them, α5 is a preset exposure time adjustment parameter, I is the light intensity required by the light source assembly, and t is the calculated exposure time.

[0017] Preferably, when there is a light intensity required by the light source assembly in the grid area G, the exposure time of the camera is adjusted based on a preset regional exposure time adjustment formula; wherein the regional exposure time adjustment formula is: Wherein, I is the light intensity required by the light source assembly, |II G | is the absolute value of the difference between the light intensity required by the light source assembly and the light intensity required by the light source assembly in the grid area G, t G is the calculated exposure time of the grid area G.

[0018] Preferably, the system server uses a preset object recognition formula to capture the object being tracked or monitored; wherein the object recognition formula is: Obj = ∑ i ∑ j P i,j *ω i,j , where P i,j represents the object P captured under the background j i ,ω i,j is the object P captured under the background j i The pixel adjustment parameters are used to control the object P captured under the background j. i The pixel distribution ratio of the background and the object is Obj, and Obj is the calculated captured object.

[0019] Preferably, the system server tracks the tracked or monitored object using a preset object tracking formula; wherein the object tracking formula is: T = ∑ [t-1,t] (Obj t -Obj t-1 ), where Obj t is the captured object at time t, Obj t-1is the captured object at time t-1, and T is the quantized value of the motion trajectory of the captured object Obj in the time [t-1, t].

[0020] Preferably, the system server monitors the state of the tracked or monitored object using a preset object state formula; wherein the object state formula is: in, The captured object Obj is in [t T -1,t T ] is the quantitative value of the difference in the motion trajectory over time, The captured object Obj is in [t T -1,t T ] is the quantized value of the motion trajectory within the time, and M is the state of the captured object Obj.

[0021] In the second aspect, the present application discloses a working method for target tracking and aquaculture monitoring based on RFID to establish a light source emission, and the working method is applicable to the system for target tracking and aquaculture monitoring based on RFID to establish a light source emission as described above, and the working method includes:

[0022] S1: Install RFID hardware components and light source components on the body of the object being tracked or monitored, and install camera and image analysis components in the farm;

[0023] S2: using the RFID light-on electronic tag and the card reader of the RFID hardware component to track the object in the farm; wherein, when the RFID light-on electronic tag receives the radio frequency signal transmitted from the card reader, it generates an induced current to activate the internal chip and the light-emitting component;

[0024] S3: When the RFID light-on electronic tag is activated, the light source assembly emits light of a specific wavelength; wherein the light source assembly is integrated or connected with the RFID light-on electronic tag;

[0025] S4: Use the camera of the video and image analysis component to capture the image of the animal with light emitted by the light source component, and transmit the image information in the form of a pixel matrix to the system server of the video and image analysis component. The system server performs target tracking and breeding monitoring based on the pixel matrix.

[0026] Beneficial effects: The system and working method of the present application for target tracking and breeding monitoring based on RFID to establish an emitting light source, utilize RFID hardware components, light source components, and camera and image analysis components to achieve accurate target tracking and breeding monitoring of animals; the RFID light-on electronic tag and the light source component are set on the animal, and the card reader and the camera and image analysis component are arranged in the farm to form a complete monitoring system; when the RFID light-on electronic tag receives the radio frequency signal of the card reader, the light-emitting component is activated, and the light source component emits light of a specific wavelength to provide a clear mark for the camera to capture the animal image; the camera transmits the image to the system server in the form of a pixel matrix, and the server performs target tracking and breeding monitoring based on this, thereby getting rid of the limitations of traditional manual monitoring, and being able to obtain animal information in real time and accurately, solving the problems in the prior art such as image capture being greatly disturbed by the environment and inaccurate monitoring, and providing an efficient and intelligent solution for modern breeding management. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0028] Figure 1 A structural block diagram of a system for target tracking and aquaculture monitoring based on RFID for establishing a light source emission according to an embodiment of the present application;

[0029] Figure 2 A flowchart of a working method for target tracking and aquaculture monitoring based on RFID-based light source emission provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0031] In this article, the term "comprising" is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprising..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0032] In a first aspect, this embodiment discloses Figure 1 A system for target tracking and aquaculture monitoring based on RFID to establish a light source emission is shown, and the system includes:

[0033] RFID hardware components, including RFID light-on electronic tags and card readers. When the RFID light-on electronic tags receive radio frequency signals from the card readers, they generate induced currents to activate the internal chips and their own light-emitting components.

[0034] A light source assembly, the light source assembly is integrated or connected with the RFID light-up electronic tag, and when the RFID light-up electronic tag is activated, the light source assembly emits light of a specific wavelength;

[0035] The camera and image analysis component includes a camera and a system server. The camera is used to capture the image of the animal with light emitted by the light source component, and transmit the image information to the system server in the form of a pixel matrix. The system server performs target tracking and breeding monitoring based on the pixel matrix;

[0036] The RFID hardware component and the light source component are arranged on the body of the object to be tracked or monitored, and the camera and image analysis component are arranged in the farm.

[0037] Based on the above, this embodiment uses RFID hardware components, light source components, and camera and image analysis components to achieve accurate target tracking and breeding monitoring of animals; the RFID light-on electronic tag and the light source component are set on the animal, and the card reader and the camera and image analysis component are arranged in the farm to form a complete monitoring system; when the RFID light-on electronic tag receives the radio frequency signal of the card reader, the light-emitting component is activated, and the light source component emits light of a specific wavelength to provide a clear mark for the camera to capture the animal image; the camera transmits the image to the system server in a pixel matrix, and the server performs target tracking and breeding monitoring based on this, thereby getting rid of the limitations of traditional manual monitoring, and being able to obtain animal information in real time and accurately, solving the problems of image capture being greatly disturbed by the environment and inaccurate monitoring in the prior art, and providing an efficient and intelligent solution for modern breeding management.

[0038] Specifically, the RFID light-on electronic tag activates the internal chip and the light-emitting component based on the electric energy converted from the radio frequency signal emitted by the receiving card reader; wherein the intensity of the radio frequency signal emitted by the card reader is based on the light intensity configuration required by the light source component, and the configuration is: S r =α1*I, where α1 is the preset RF signal strength adjustment parameter, I is the light intensity required by the light source component, S rThe calculated radio frequency signal strength emitted by the card reader is adjusted based on adjusting the output power of the card reader.

[0039] Based on the above, this embodiment uses the card reader to transmit radio frequency signals to power the RFID light-up electronic tag, and accurately configures the radio frequency signal strength according to the light intensity required by the light source component, thereby achieving energy saving and stable operation of the system. By presetting the radio frequency signal strength adjustment parameters, an association is established between the radio frequency signal strength and the light intensity of the light source component. Based on this relationship, the card reader changes the radio frequency signal strength by adjusting the output power to ensure that the RFID light-up electronic tag can stably activate the light-emitting component under different light intensity requirements. Compared with the traditional fixed power transmission method, this dynamic adjustment reduces energy waste, while ensuring the stable operation of the light source component, providing stable lighting conditions for the camera and image analysis components, improving the quality of image capture, and enhancing the applicability of the entire system in different breeding scenarios.

[0040] Specifically, the light source assembly uses an infrared LED chip as a light source, the light emitted by the light source is infrared light, and the required light intensity of the infrared light is adjusted based on a preset light intensity adjustment formula; wherein the light intensity adjustment formula is: Wherein, I0 is the initial light intensity at the reference temperature, e is the natural base, α2 is the preset temperature adjustment parameter, T is the real-time ambient temperature, α3 is the blocking rate of the body of the tracked or monitored object to the light emitted by the light source group obtained based on regression analysis, and I is the calculated light intensity required by the light source assembly.

[0041] Based on the above, this embodiment uses an infrared LED chip as a light source component, and realizes adaptive adjustment of the light intensity of the light source component by presetting a light intensity adjustment formula. Taking into account the influence of ambient temperature and the animal's body on light obstruction, the light intensity adjustment formula incorporates factors such as the initial light intensity at the reference temperature, temperature adjustment parameters, real-time ambient temperature and light obstruction rate. When the ambient temperature changes or the animal's posture changes, resulting in different light obstruction situations, the light source component can automatically adjust the light intensity according to the formula. This enables the camera to always obtain clear animal images in a complex breeding environment, avoiding the image quality affected by insufficient or excessive light, providing a reliable data basis for subsequent target tracking and breeding monitoring, and effectively improving the system's ability to adapt to environmental changes.

[0042] Specifically, the card reader performs grid number management on the RFID light-on electronic tag, and the grid number management is to adjust the light intensity required by the light source components in different grid areas based on a preset light intensity difference formula; wherein the light intensity difference formula is I G =α 4_G *I, where α 4_Gis the light intensity difference adjustment parameter of different grid areas G obtained based on regression analysis, I is the light intensity required by the light source component, and I G is the light intensity required by the light source assembly in grid area G.

[0043] Based on the above, this embodiment uses the card reader to manage the grid numbers of the RFID light-on electronic tags, and based on the preset light intensity difference formula, realizes the differentiated configuration of the light intensity of the light source components in different grid areas. The light intensity difference adjustment parameters of different grid areas are obtained through regression analysis, and the required light intensity of the light source components in different grid areas is adjusted according to the parameters. In the farm, there are differences in the lighting requirements and environmental conditions in different areas. This differentiated configuration enables the light source components to provide appropriate lighting in each grid area to meet the monitoring needs of different areas. For example, increasing the light intensity in areas where animals are active frequently makes it easier to capture animal behavior more clearly, thereby improving the accuracy of image analysis and optimizing the performance of the entire breeding monitoring system.

[0044] Specifically, the camera of the video and image analysis component is connected to the card reader. When the card reader activates the corresponding RFID light-up electronic tag, the camera is activated at the same time, and the exposure time of the camera is adjusted based on a preset exposure time adjustment formula; wherein the exposure time adjustment formula is: Among them, α5 is a preset exposure time adjustment parameter, I is the light intensity required by the light source component, and t is the calculated exposure time.

[0045] Based on the above, this embodiment utilizes the linkage mechanism between the camera and the card reader, and according to the preset exposure time adjustment formula, realizes the dynamic adjustment of the camera exposure time. When the card reader activates the RFID light-up electronic tag, the camera starts synchronously, and adjusts the exposure time according to the light intensity required by the light source component. The preset exposure time adjustment parameters are introduced into the exposure time adjustment formula to ensure that the exposure time matches the light intensity. When the light intensity is strong, the exposure time is shortened to avoid the image being too bright; when the light intensity is weak, the exposure time is extended to ensure a clear image. This real-time adjustment mechanism enables the camera to obtain high-quality animal images under different lighting conditions, provides high-quality data for the system server to perform accurate target tracking and breeding monitoring, and improves the system's ability to respond to changes in lighting.

[0046] Specifically, when there is a light intensity required by the light source assembly of the grid area G, the exposure time of the camera is adjusted based on a preset regional exposure time adjustment formula; wherein the regional exposure time adjustment formula is: Where I is the light intensity required by the light source component, |II G | is the absolute value of the difference between the light intensity required by the light source component and the light intensity required by the light source component in the grid area G, t Gis the calculated exposure time of the grid area G.

[0047] Based on the above, this embodiment further optimizes the adjustment strategy of the camera exposure time by using the preset regional exposure time adjustment formula in view of the difference in light intensity of light source components in different grid areas. When there are differences in the light intensity of light source components in different grid areas, the regional exposure time adjustment formula adjusts the exposure time according to the absolute value of the light intensity difference. In this way, it can be ensured that in different grid areas, the camera can obtain clear animal images according to the actual lighting conditions. The exposure time is appropriately extended in grid areas with weaker light, and the exposure time is appropriately shortened in areas with stronger light, so that the system can stably obtain high-quality images throughout the entire farm, improve the accuracy and consistency of image analysis, and improve the monitoring function of the system in complex breeding environments.

[0048] Specifically, the system server uses a preset object recognition formula to capture the object being tracked or monitored; wherein the object recognition formula is: Obj = Σ i Σ j P i,j *ω i,j , where P i,j represents the object P captured under the background j i ,ω i,j is the object P captured under the background j i The pixel adjustment parameter is used to control the object P captured under the background j. i The pixel distribution ratio of the background and the object is Obj, and Obj is the calculated captured object.

[0049] With the above, this embodiment utilizes the preset object recognition formula in the system server to achieve accurate capture of tracked or monitored animal objects in complex backgrounds. A preset pixel adjustment parameter is introduced into the object recognition formula, through which the pixel distribution ratio of the background and the object is controlled. In actual breeding scenarios, the background environment is complex and changeable. This formula can highlight the characteristics of animal objects, reduce background interference, and enable the system server to accurately identify animal objects from images. Compared with traditional image recognition methods, this recognition method based on a specific formula can improve the accuracy and speed of recognition, provide accurate basic data for subsequent target tracking and status monitoring, and enhance the adaptability and reliability of the system in complex environments.

[0050] Specifically, the system server uses a preset object tracking formula to track the object being tracked or monitored; wherein the object tracking formula is: T = ∑ [t-1,t] (Obj t -Obj t-1 ), where Obj tis the captured object at time t, Obj t-1 is the captured object at time t-1, and T is the quantized value of the motion trajectory of the captured object Obj in the time [t-1, t].

[0051] Based on the above, this embodiment uses the preset object tracking formula in the system server to realize real-time tracking of the tracked or monitored animal objects. The object tracking formula calculates the differences between objects captured at different times to obtain the quantitative value of the animal's movement trajectory within a certain period of time. Based on this quantitative value, the system server can grasp the animal's movement direction and speed and other information in real time. This tracking method can continuously and accurately locate the animal's position during the animal's movement and promptly detect the animal's abnormal behavior. Compared with traditional tracking technology, this formula can provide more accurate tracking results, provide strong support for breeders to timely understand animal dynamics and adjust breeding strategies, and improve the efficiency and scientificity of breeding management.

[0052] Specifically, the system server uses a preset object state formula to monitor the state of the tracked or monitored object; wherein the object state formula is: in, The captured object Obj is in [t T -1,t T ] is the quantitative value of the difference in the motion trajectory over time, The captured object Obj is in [t T -1,t T ] is the quantized value of the motion trajectory within the time, and M is the state of the captured object Obj.

[0053] With the above, this embodiment utilizes the object state formula preset in the system server to achieve effective monitoring of the state of the tracked or monitored animal object. The object state formula evaluates the state of the animal by analyzing the relationship between the difference quantified value of the animal's motion trajectory over a period of time and the quantified value of the motion trajectory. For example, when the difference in motion trajectory is large, it may indicate that the animal is in an abnormal state of activity. This state monitoring method based on motion trajectory analysis can promptly detect health problems or abnormal behaviors of animals and provide early warnings for breeders. Compared with the traditional method of relying on manual observation to judge the state of animals, this formula can realize automated and real-time monitoring, improve the accuracy and timeliness of monitoring, and help to ensure animal health and improve breeding efficiency.

[0054] In a second aspect, this embodiment discloses Figure 2 A working method for target tracking and aquaculture monitoring based on RFID for establishing a light source emission is shown. The working method is applicable to the system for target tracking and aquaculture monitoring based on RFID for establishing a light source emission as described above. The working method includes:

[0055] S1: Install RFID hardware components and light source components on the body of the object being tracked or monitored, and install camera and image analysis components in the farm;

[0056] S2: Using the RFID light-on electronic tag and card reader of the RFID hardware component to track the object in the farm; when the RFID light-on electronic tag receives the radio frequency signal transmitted from the card reader, it generates an induced current to activate the internal chip and the light-emitting component;

[0057] S3: When the RFID light-on electronic tag is activated, the light source assembly emits light of a specific wavelength; wherein the light source assembly is integrated or connected with the RFID light-on electronic tag;

[0058] S4: Use the camera of the video and image analysis component to capture the animal image with light emitted by the light source component, and transmit the image information in the form of a pixel matrix to the system server of the video and image analysis component. The system server performs target tracking and breeding monitoring based on the pixel matrix.

[0059] It should be noted that the working method of establishing target tracking and aquaculture monitoring of an emitting light source based on RFID in this embodiment corresponds to the aforementioned system for establishing target tracking and aquaculture monitoring of an emitting light source based on RFID. Therefore, the contents not specifically described in the working method of establishing target tracking and aquaculture monitoring of an emitting light source based on RFID in this embodiment may refer to the records in the aforementioned system for establishing target tracking and aquaculture monitoring of an emitting light source based on RFID for but not limited to the function definition, working principle and technical effect, and this text will not elaborate on them here.

[0060] In summary, the system and working method of the present embodiment for target tracking and breeding monitoring based on RFID to establish an emitting light source, utilize RFID hardware components, light source components, and camera and image analysis components to achieve accurate target tracking and breeding monitoring of animals; the RFID light-on electronic tag and the light source component are set on the animal, and the card reader and the camera and image analysis component are arranged in the farm to form a complete monitoring system; when the RFID light-on electronic tag receives the radio frequency signal of the card reader, the light-emitting component is activated, and the light source component emits light of a specific wavelength to provide a clear mark for the camera to capture the animal image; the camera transmits the image to the system server in the form of a pixel matrix, and the server performs target tracking and breeding monitoring based on this, thereby getting rid of the limitations of traditional manual monitoring, and being able to obtain animal information in real time and accurately, solving the problems in the prior art such as image capture being greatly disturbed by the environment and inaccurate monitoring, and providing an efficient and intelligent solution for modern breeding management.

[0061] In the embodiments provided in the present application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For hardware implementation, the processor can be implemented in one or more of the following units: application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic units designed to implement the functions described herein or their combination. For software implementation, part or all of the flow of the embodiment can be completed by instructing the relevant hardware through a computer program. When implemented, the above program can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a computer can access. The computer-readable storage medium can include but is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer.

[0062] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A system for target tracking and aquaculture monitoring based on RFID to establish a light source, characterized in that: The system includes: An RFID hardware component, wherein the RFID hardware component includes an RFID light-on electronic tag and a card reader. When the RFID light-on electronic tag receives a radio frequency signal transmitted from the card reader, it generates an induced current to activate an internal chip and a self-contained light-emitting component; A light source assembly, wherein the light source assembly is integrated with or connected to the RFID light-on electronic tag, and when the RFID light-on electronic tag is activated, the light source assembly emits light of a specific wavelength; A video and image analysis component, the video and image analysis component includes a camera and a system server, the camera is used to capture an image of an animal with light emitted by the light source component, and transmit the image information to the system server in the form of a pixel matrix, and the system server performs target tracking and breeding monitoring based on the pixel matrix; The RFID hardware component and the light source component are arranged on the body of the object to be tracked or monitored, and the camera and image analysis component is arranged in the breeding farm.

2. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 1 is characterized in that: The RFID light-on electronic tag activates the internal chip and the light-emitting component based on the electric energy converted from the radio frequency signal transmitted by the card reader; wherein the intensity of the radio frequency signal transmitted by the card reader is configured based on the light intensity required by the light source component, and the configuration is: S r =α1*I, where α1 is the preset RF signal strength adjustment parameter, I is the light intensity required by the light source assembly, S r The strength of the radio frequency signal emitted by the card reader is calculated, and the adjustment of the strength of the radio frequency signal emitted by the card reader is based on adjusting the output power of the card reader.

3. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 1 is characterized in that: The light source assembly uses an infrared LED chip as a light source, the light emitted by the light source is infrared light, and the required light intensity of the infrared light is adjusted based on a preset light intensity adjustment formula; wherein the light intensity adjustment formula is: Wherein, I0 is the initial light intensity at the reference temperature, e is the natural base, α2 is the preset temperature adjustment parameter, T is the real-time ambient temperature, α3 is the blocking rate of the body of the tracked or monitored object to the light emitted by the light source group obtained based on regression analysis, and I is the calculated light intensity required by the light source assembly.

4. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 1 is characterized in that: The card reader performs grid number management on the RFID light-on electronic tag, and the grid number management is to adjust the light intensity required by the light source assembly in different grid areas based on a preset light intensity difference formula; wherein the light intensity difference formula is I G =α 4_G *I, where α 4_G is the light intensity difference adjustment parameter of different grid areas G obtained based on regression analysis, I is the light intensity required by the light source assembly, and I G is the light intensity required by the light source assembly in grid area G.

5. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 4 is characterized in that: The camera of the video and image analysis component is connected to the card reader. When the card reader activates the corresponding RFID light-up electronic tag, the camera is activated at the same time, and the exposure time of the camera is adjusted based on a preset exposure time adjustment formula; wherein the exposure time adjustment formula is: Among them, α5 is a preset exposure time adjustment parameter, I is the light intensity required by the light source assembly, and t is the calculated exposure time.

6. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 5, characterized in that: When there is a light intensity required by the light source assembly in the grid area G, the exposure time of the camera is adjusted based on a preset regional exposure time adjustment formula; wherein the regional exposure time adjustment formula is: Wherein, I is the light intensity required by the light source assembly, |II G | is the absolute value of the difference between the light intensity required by the light source assembly and the light intensity required by the light source assembly in the grid area G, t G is the calculated exposure time of the grid area G.

7. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 1, characterized in that: The system server uses a preset object recognition formula to capture the object being tracked or monitored; wherein the object recognition formula is: Obj = ∑ i ∑ j P i,j *ω i,j , where P i,j represents the object P captured under the background j i ,ω i,j is the object P captured under the background j i The pixel adjustment parameters are used to control the object P captured under the background j. i The pixel distribution ratio of the background and the object is Obj, and Obj is the calculated captured object.

8. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 1, characterized in that: The system server tracks the tracked or monitored object using a preset object tracking formula; wherein the object tracking formula is: T = ∑ [t-1,t] (Obj t -Obj t-1 ), where Obj t is the captured object at time t, Obj t-1 is the captured object at time t-1, and T is the quantized value of the motion trajectory of the captured object Obj in the time [t-1, t].

9. The system for target tracking and aquaculture monitoring based on RFID light source according to claim 8, characterized in that: The system server monitors the state of the tracked or monitored object using a preset object state formula; wherein the object state formula is: in, The captured object Obj is in [t T -1,t T ] is the quantitative value of the difference in the motion trajectory over time, The captured object Obj is in [t T -1,t T ] is the quantized value of the motion trajectory within the time, and M is the state of the captured object Obj.

10. A method for target tracking and aquaculture monitoring based on RFID-based light source, the method being applicable to the system for target tracking and aquaculture monitoring based on RFID-based light source as claimed in any one of claims 1 to 9, characterized in that: The working method includes: S1: Install RFID hardware components and light source components on the body of the object being tracked or monitored, and install camera and image analysis components in the farm; S2: using the RFID light-on electronic tag and the card reader of the RFID hardware component to track the object in the farm; wherein, when the RFID light-on electronic tag receives the radio frequency signal transmitted from the card reader, it generates an induced current to activate the internal chip and the light-emitting component; S3: When the RFID light-on electronic tag is activated, the light source assembly emits light of a specific wavelength; wherein the light source assembly is integrated or connected with the RFID light-on electronic tag; S4: Use the camera of the video and image analysis component to capture the image of the animal with light emitted by the light source component, and transmit the image information in the form of a pixel matrix to the system server of the video and image analysis component. The system server performs target tracking and breeding monitoring based on the pixel matrix.

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