A monitoring system and method for monitoring the activity of free-range yaks

Abstract

The present invention discloses a system for monitoring the activity of free-range yaks, including an RFID chip worn on a yak for individual identification of the yak; a plurality of RFID readers installed in a yak breeding area for reading RFID chip information and locating the yak; and a yak position information processing module for processing the yak position information to obtain yak activity data. The present invention can improve the deficiencies of the prior art and achieve effective monitoring of the activity of free-range yaks while effectively controlling costs.

Description

Technical Field

[0001] The invention relates to the technical field of yak breeding, in particular to a system and method for monitoring the activity of free-range yaks. Background Art

[0002] Yaks are large livestock that grow in high-altitude and cold regions, and are mainly raised in a free-range manner. During the free-range raising of yaks, monitoring the activity of individual yaks has always been a difficult point. Although tracking and positioning technology based on RFID technology has developed rapidly in recent years, positioning methods such as Kalman filtering and Bayesian networks have been proposed, but these positioning methods are only suitable for indoor short-distance positioning requirements. For large-area monitoring objects outdoors, their positioning accuracy decreases significantly. In addition, the cost of deploying positioning equipment in a large area outdoors is also high, which is not suitable for the yak breeding industry. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a free-range yak activity monitoring system and a monitoring method thereof, which can solve the deficiencies of the prior art and realize effective monitoring of the activity of free-range yaks while effectively controlling costs.

[0004] In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows.

[0005] A free-range yak activity monitoring system, comprising:

[0006] RFID chips worn on yaks are used to identify the yaks individually;

[0007] Several RFID readers installed in the yak breeding area are used to read RFID chip information and locate the yaks;

[0008] The yak position information processing module is used to process the yak position information to obtain yak activity data.

[0009] A monitoring method of the above-mentioned free-range yak activity monitoring system comprises the following steps:

[0010] A. The RFID reader reads the individual information of the yak from the RFID chip within the reading range and calculates the distance between the yak and the RFID reader based on the received signal strength;

[0011] B. The yak location information processing module receives the yak individual information and distance information sent by the RFID reader;

[0012] C. The yak position information processing module fits the discrete position information of the same RFID chip signal and calculates the activity range of the corresponding yak individual;

[0013] D. The yak position information processing module calculates the yak activity amount according to the yak activity range.

[0014] Preferably, step C includes the following steps:

[0015] C1. With the RFID reader as the center of the circle, determine the annular area where the RFID chip is located according to the distance between the RFID chip and the RFID reader. If two or more RFID readers read the same RFID chip signal, the intersection of the annular areas determined by all RFID readers is determined as the location point of the RFID chip. If only one RFID reader reads the same RFID chip signal, the annular area determined by the RFID reader is determined as the location range of the RFID chip.

[0016] C2. Calculate the discrete position information of the RFID chip based on the position points and position ranges determined by all RFID chips;

[0017] C3. Calculate the activity range of each yak individual corresponding to each RFID chip.

[0018] Preferably, in step C2, calculating the discrete position information includes the following steps:

[0019] C21, taking the position point determined in step C1 as a reference point;

[0020] C22, traversing each position range determined in step C1, performing trajectory matching with the reference point with the nearest average distance thereto, and deleting the part of the position range that is not successfully matched with the reference point;

[0021] C23, using the entire position range processed in step C22 to establish a fuzzy set, and calculating the weighted membership between each virtual position point and the reference point in the fuzzy set, wherein the weighted value is inversely proportional to the distance between the virtual position point and the reference point;

[0022] C24. The virtual position points whose weighted membership is greater than the set threshold and the position points determined in step C1 are used as discrete position information.

[0023] Preferably, in step C3, calculating the activity range of each yak individual corresponding to each RFID chip includes the following steps:

[0024] C31. Establish a position change sequence of the position points in the discrete position information of the same RFID chip in chronological order, and use the position change sequence to fit the activity trajectory of the individual yak;

[0025] C32, using the location point in step C31 as the initial cluster center to cluster all virtual location points in the discrete location information according to the weighted membership between the virtual location point and the initial cluster center;

[0026] C33, calculate the data compactness between each type of virtual position points, take the average value of data compactness as the optimization target, adjust the initial cluster center, and then perform iterative clustering until the average value of data compactness is greater than the set value or the number of clustering reaches the iteration upper limit, and stop iterative clustering;

[0027] C34, defining the activity range of the individual yak corresponding to each RFID chip according to the clustering result obtained in step C33;

[0028] C35. Summarize the activity ranges of all yaks, establish a normal distribution of the activity ranges of yaks based on their gregarious habits, and then delete the activity ranges on both sides of the normal distribution interval based on the 3σ principle.

[0029] Preferably, in step D, the activity level of the yak is calculated according to the following formula:

[0030]

[0031] Among them, A is the activity amount of individual yaks, k is the proportional coefficient, S is the average activity range area of ​​individual yaks during the monitoring period, and L is the total displacement length of the position change sequence of individual yaks during the monitoring period.

[0032] The beneficial effect brought by the above technical solution is that the present invention only uses the simplest RFID chip and RFID reader to adapt and read information in response to the requirements of large-scale outdoor monitoring, without other hardware configuration, and effectively controls the cost of the entire monitoring system. Due to the adoption of the above simple monitoring structure, if the data processing method of the prior art is adopted, the monitoring positioning accuracy will be greatly reduced due to the lack of data types and insufficient data volume. In response to this problem, the present invention changes the existing RFID signal monitoring and positioning method, and uses the determined position point as a reference point to calculate the virtual position point. It should be pointed out that the "virtual position point" here is not the real RFID chip position, but a "virtual" position point set to more accurately determine the activity range of the individual yak. ​​Because in the outdoors, in order to save hardware costs, too many RFID readers and supporting parameter collection equipment cannot be set, so most RFID chip signals cannot be accurately located. The "virtual position point" used by the present invention does not rely on the actual RFID signal positioning, but is obtained by calculating the membership degree through the measured RFID signal position range and the reference point, which can effectively reflect the activity range of the yak. Since virtual location points are not real location points, directly using the determined location points for clustering cannot reflect the activity area of ​​yaks. This problem can be effectively solved by taking the data compactness between each type of virtual location points as the optimization target and performing iterative clustering. Finally, the activity of yaks is calculated by using the correlation between the area of ​​yak activity range and the total length of displacement of the individual yak position change sequence and the activity of yaks, realizing the calculation of yak activity without all accurate monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of a specific implementation mode of the present invention. DETAILED DESCRIPTION

[0034] Reference Figure 1 , a specific embodiment of the present invention includes,

[0035] The RFID chip 1 worn on the yak is used to identify the yak individually;

[0036] Several RFID readers 2 installed in the yak breeding area are used to read the information of the RFID chip 1 and locate the yaks;

[0037] The yak position information processing module 3 is used to process the yak position information to obtain yak activity data.

[0038] A monitoring method of the above-mentioned free-range yak activity monitoring system comprises the following steps:

[0039] A. The RFID reader 2 reads the individual information of the yak from the RFID chip 1 within the reading range, and calculates the distance between the yak and the RFID reader 2 according to the received signal strength;

[0040] B. The yak position information processing module 3 receives the yak individual information and distance information sent by the RFID reader 2;

[0041] C. The yak position information processing module 3 fits the discrete position information of the same RFID chip 1 signal and calculates the activity range of the corresponding yak individual;

[0042] D. The yak position information processing module 3 calculates the yak activity amount according to the yak activity range.

[0043] Step C includes the following steps,

[0044] C1. With the RFID reader 2 as the center of the circle, determine the annular area where the RFID chip 1 is located according to the distance between the RFID chip 1 and the RFID reader 2. If two or more RFID readers 2 read the same RFID chip 1 signal, then the intersection of the annular areas determined by all the RFID readers 2 is determined as the location point of the RFID chip 1. If only one RFID reader 2 reads the same RFID chip 1 signal, then the annular area determined by the RFID reader 2 is determined as the location range of the RFID chip 1.

[0045] C2. Calculate the discrete position information of the RFID chip 1 according to the position points and position ranges determined by all the RFID chips 1;

[0046] C3. Calculate the activity range of each yak individual corresponding to each RFID chip 1.

[0047] In step C2, calculating the discrete position information includes the following steps:

[0048] C21, taking the position point determined in step C1 as a reference point;

[0049] C22, traversing each position range determined in step C1, performing trajectory matching with the reference point with the nearest average distance thereto, and deleting the part of the position range that is not successfully matched with the reference point;

[0050] C23, using the entire position range processed in step C22 to establish a fuzzy set, and calculating the weighted membership between each virtual position point and the reference point in the fuzzy set, wherein the weighted value is inversely proportional to the distance between the virtual position point and the reference point;

[0051] C24. The virtual position points whose weighted membership is greater than the set threshold and the position points determined in step C1 are used as discrete position information.

[0052] In step C3, calculating the activity range of each yak individual corresponding to each RFID chip 1 includes the following steps:

[0053] C31, establishing a position change sequence of the position points in the discrete position information of the same RFID chip 1 in chronological order, and using the position change sequence to fit the activity trajectory of the barbarian bull individual;

[0054] C32, using the location point in step C31 as the initial cluster center to cluster all virtual location points in the discrete location information according to the weighted membership between the virtual location point and the initial cluster center;

[0055] C33, calculate the data compactness between each type of virtual position points, take the average value of data compactness as the optimization target, adjust the initial cluster center, and then perform iterative clustering until the average value of data compactness is greater than the set value or the number of clustering reaches the iteration upper limit, and stop iterative clustering;

[0056] C34, defining the activity range of the individual yak corresponding to each RFID chip 1 according to the clustering result obtained in step C33;

[0057] C35. Summarize the activity ranges of all yaks, establish a normal distribution of the activity ranges of yaks based on their gregarious habits, and then delete the activity ranges on both sides of the normal distribution interval based on the 3σ principle.

[0058] In step D, the activity level of the yak is calculated according to the following formula:

[0059]

[0060] Among them, A is the activity amount of individual yaks, k is the proportional coefficient, S is the average activity range area of ​​individual yaks during the monitoring period, and L is the total displacement length of the position change sequence of individual yaks during the monitoring period.

[0061] In the description of the present invention, it should be understood that the terms "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside" and "outside" etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0062] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A monitoring method of a free-range yak activity monitoring system, the free-range yak activity monitoring system comprising: An RFID chip (1) worn on a yak is used to identify the individual yak; A plurality of RFID readers (2) installed in the yak breeding area are used to read the information of the RFID chip (1) and locate the yaks; A yak position information processing module (3) is used to process the yak position information to obtain yak activity data; Features The following steps are involved: A. The RFID reader (2) reads the individual information of the yak from the RFID chip (1) within the reading range, and calculates the distance between the yak and the RFID reader (2) according to the received signal strength; B. The yak position information processing module (3) receives the yak individual information and distance information sent by the RFID reader (2); C. The yak position information processing module (3) fits the discrete position information of the signal of the same RFID chip (1) to calculate the activity range of the corresponding yak individual; D. Yak position information processing module (3) calculates the yak activity amount according to the yak activity range.

2. The monitoring method of the free-range yak activity monitoring system according to claim 1, characterized in that: Step C The following steps are included: C1. With the RFID reader (2) as the center of the circle, determine the annular area where the RFID chip (1) is located according to the distance between the RFID chip (1) and the RFID reader (2); if two or more RFID readers (2) read the same RFID chip (1) signal, then determine the intersection of the annular areas determined by all the RFID readers (2) as the location point of the RFID chip (1); if only one RFID reader (2) reads the same RFID chip (1) signal, then determine the annular area determined by the RFID reader (2) as the location range of the RFID chip (1); C2, calculating the discrete position information of the RFID chip (1) according to the position points and position ranges determined by all the RFID chips (1); C3. Calculate the activity range of each yak individual corresponding to each RFID chip (1).

3. The monitoring method of the free-range yak activity monitoring system according to claim 2, characterized in that: In step C2, calculating the discrete position information includes the following steps: C21, taking the position point determined in step C1 as a reference point; C22, traversing each position range determined in step C1, performing trajectory matching with the reference point with the closest average distance thereto, and deleting the part of the position range that has not been successfully matched with the reference point; C23, using the entire position range processed in step C22 to establish a fuzzy set, and calculating the weighted membership between each virtual position point and the reference point in the fuzzy set, where the weighted membership is inversely proportional to the distance between the virtual position point and the reference point; C24. The virtual position points whose weighted membership is greater than the set threshold and the position points determined in step C1 are used as discrete position information.

4. The monitoring method of the free-range yak activity monitoring system according to claim 3 is characterized in that: In step C3, calculating the activity range of each yak individual corresponding to each RFID chip (1) includes the following steps: C31, establishing a position change sequence of the position points in the discrete position information of the same RFID chip (1) in chronological order, and using the position change sequence to fit the activity trajectory of the individual yak; C32, using the location point in step C31 as the initial cluster center to cluster all virtual location points in the discrete location information according to the weighted membership between the virtual location point and the initial cluster center; C33, calculate the data compactness between each type of virtual position points, take the average value of data compactness as the optimization target, adjust the initial cluster center, and then perform iterative clustering until the average value of data compactness is greater than the set value or the number of clustering reaches the iteration upper limit, and stop iterative clustering; C34, defining the activity range of the individual yak corresponding to each RFID chip (1) according to the clustering result obtained in step C33; C35. Summarize the activity ranges of all yaks, establish a normal distribution of the activity ranges of yaks based on their gregarious habits, and then delete the activity ranges on both sides of the normal distribution interval based on the 3σ principle.

5. The monitoring method of the free-range yak activity monitoring system according to claim 4, characterized in that: In step D, the activity level of the yak is calculated according to the following formula: Among them, A is the activity amount of individual yaks, k is the proportional coefficient, S is the average activity range area of ​​individual yaks during the monitoring period, and L is the total displacement length of the position change sequence of individual yaks during the monitoring period.

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