JP4774483B2 - Leg condition diagnosis system and diagnosis method - Google Patents

Description

  The present invention relates to a leg condition diagnosis system for diagnosing the condition of a dairy cow's leg and a diagnosis method thereof.

  In conventional production sites for livestock such as dairy cows, the problem of livestock legs and hoofs has been closed up. This is due to three reasons. The first reason is that the living environment of livestock has changed from a soil floor to a cement floor. In this background, the number of livestock rearing has decreased, so the number of livestock per household has increased (the livestock breeding has increased in density), and the livestock breeding method has to be switched from grazing breeding to house breeding. There is a circumstance that can not be obtained. The second reason is that the extremities of livestock became weak as a result of breeding to increase the size of livestock. The third reason is that as a result of breeding to speed up the growth of livestock, the walking style of livestock became unbalanced.

  In particular, in the production site of dairy cows, it is said that the state of the leg including the hoof affects the overall health of the dairy cow and further affects the milk yield. That is, when a dairy cow suffers from a leg disease such as a sole ulcer, the dairy cow becomes painful while walking, which not only reduces the amount of exercise of the dairy cow but also increases the stress of the dairy cow. For this reason, it becomes easy to become sickness (mastitis etc.) other than a leg, and milk yield will also fall. Therefore, if it is possible to easily determine whether or not a disease has occurred in any leg of a dairy cow and specify the affected limb, the milk yield can be increased. In addition, if the degree of healing after treatment of the affected limb can be objectively evaluated, it is easy to estimate the milk amount of the treated cow.

  However, conventionally, it has been impossible to objectively determine whether a disease has occurred in any leg of a dairy cow, identify an affected limb, or evaluate the degree of healing after treatment of the affected limb. was there.

  The present invention has been made in order to solve the above-mentioned problems, and it is possible to determine whether a disease has occurred in any leg of a dairy cow, to identify an affected limb, and to cure after treatment of the affected limb. It is an object of the present invention to provide a leg condition diagnosis system and method for diagnosing an increase in milk yield of a cow and estimation of the milk yield so that the condition can be objectively and easily evaluated. And

In order to achieve the above object, the invention according to claim 1 is a leg condition diagnosis system for diagnosing the condition of a dairy cow's leg, wherein at the time of walking of the dairy cow, the acceleration of the movement of the body axis at least in the front-rear direction An acceleration sensor for detecting the angle and direction, an acceleration data recording means for recording data of the magnitude and direction of acceleration at a plurality of detection points out of the magnitude and direction of acceleration detected by the acceleration sensor, and the acceleration data recording Leg condition diagnosis means for diagnosing the condition of the leg of the cow based on acceleration magnitude and orientation data at a plurality of detection points recorded in the means, and the acceleration data recorded in the acceleration data recording means The size and orientation data includes the magnitude and orientation data of acceleration in the longitudinal direction of the cow at a plurality of detection points. And the leg condition diagnosis means calculates the sum of the magnitudes of the forward acceleration and the magnitude of the acceleration in the backward direction based on the magnitude and orientation data of the longitudinal acceleration recorded in the acceleration data recording means. A ratio with the sum (hereinafter referred to as a front-rear direction ratio) is obtained, and the state of the leg of the cow is diagnosed based on the front-rear direction ratio .

According to a second aspect of the present invention, in the leg condition diagnosis system for diagnosing the condition of a dairy cow's leg, at the time of walking of the dairy cow, an acceleration for detecting the magnitude and direction of the acceleration of the body axis in at least the left-right direction of the dairy cow A sensor, acceleration data recording means for recording acceleration magnitude and orientation data at a plurality of detection points among the acceleration magnitudes and orientations detected by the acceleration sensor, and a plurality of acceleration data recording means recorded in the acceleration data recording means Leg condition diagnosis means for diagnosing the condition of the leg of the cow based on the acceleration magnitude and orientation data at the detection point, and the acceleration magnitude and orientation data recorded in the acceleration data recording means , Data on the magnitude and direction of acceleration in the lateral direction of the dairy cow at a plurality of detection points are included, and the leg condition diagnosis The stage is a ratio of the sum of the magnitudes of the accelerations in the left direction and the sum of the magnitudes of the accelerations in the right direction (hereinafter, referred to as the sum of the magnitudes of the accelerations in the right direction based on the data of the magnitude and direction of the acceleration in the left-right direction recorded in the acceleration data recording means. The right and left direction ratio) is determined, and the state of the leg of the cow is diagnosed based on the left and right direction ratio.

According to a third aspect of the present invention, in the leg condition diagnosis system for diagnosing the condition of a dairy cow's leg, at the time of walking of the dairy cow, an acceleration for detecting the magnitude and direction of the acceleration of the body axis in at least the vertical direction of the dairy cow A sensor, acceleration data recording means for recording acceleration magnitude and orientation data at a plurality of detection points among the acceleration magnitudes and orientations detected by the acceleration sensor, and a plurality of acceleration data recording means recorded in the acceleration data recording means Leg condition diagnosis means for diagnosing the condition of the leg of the cow based on the acceleration magnitude and orientation data at the detection point, and the acceleration magnitude and orientation data recorded in the acceleration data recording means , Data on the magnitude and direction of vertical acceleration of the dairy cow at a plurality of detection points are included, and the leg condition diagnosis The stage is a ratio of the sum of the magnitudes of the accelerations in the upward direction and the sum of the magnitudes of the accelerations in the downward direction (hereinafter referred to as the sum of the magnitudes of the accelerations in the downward direction) based on the magnitude and direction data of the acceleration in the vertical direction recorded in the acceleration data recording means. The ratio of the vertical direction) is obtained, and the state of the leg of the cow is diagnosed based on the vertical ratio.

The invention of claim 4 is a leg state diagnosis method for diagnosing the state of a dairy cow's leg , detecting the magnitude and direction of acceleration of body axis movement at least in the front-rear direction of the dairy cow during walking of the dairy cow, Of the detected acceleration magnitudes and orientations, the longitudinal acceleration magnitude and orientation data at a plurality of detection points are recorded, and based on these data, the sum of the forward acceleration magnitudes and the backward accelerations are recorded. A ratio (hereinafter referred to as a front-rear direction ratio) with respect to the sum of the sizes of the dairy cows is obtained, and the state of the leg of the cow is diagnosed based on the front-rear direction ratio.

The invention of claim 5 is a leg condition diagnosis method for diagnosing the condition of a leg of a dairy cow, detecting the magnitude and direction of acceleration of movement of a body axis in at least the left-right direction of the dairy cow during walking of the dairy cow, Of the detected acceleration magnitudes and orientations, data on the magnitudes and orientations of left and right accelerations at a plurality of detection points are recorded, and based on these data, the sum of the magnitudes of the accelerations in the left direction and the accelerations in the right direction are recorded. A ratio (hereinafter referred to as a right / left ratio) with respect to the sum of the sizes of the dairy cows is obtained, and the state of the dairy cow's leg is diagnosed based on the left / right ratio.

The invention of claim 6 is a leg condition diagnosis method for diagnosing the condition of a leg of a dairy cow, detecting the magnitude and direction of acceleration of movement of a body axis in at least the vertical direction of the dairy cow during walking of the dairy cow, Of the detected acceleration magnitudes and orientations, data of the acceleration magnitudes and orientations in the vertical direction at a plurality of detection points are recorded, and based on these data, the sum of the magnitudes of the upward accelerations and the downward accelerations are recorded. A ratio (hereinafter referred to as a vertical ratio) with respect to the sum of the sizes of the dairy cows is obtained, and the state of the leg of the cow is diagnosed based on the vertical ratio.

According to the inventions of claim 1 and claim 4 , based on the front-rear ratio, which is the ratio of the sum of the magnitudes of the accelerations in the forward direction and the sum of the magnitudes of the accelerations in the rear direction, the state of the leg of the cow Was diagnosed. Here, if the disease to any of the leg milk cows has developed, since the swing body can no longer be stopped well in the leg, as compared to healthy cows, acceleration at the side of the affected limb Becomes larger. Therefore, by comparing the longitudinal ratio of the dairy cow with the longitudinal ratio of a healthy dairy cow, it is possible to determine whether a disease has occurred in any leg of the dairy cow, It is possible to objectively and easily identify which one is. In addition, by comparing the longitudinal ratio of the dairy cow after treatment of the affected limb with the longitudinal ratio of the same dairy cow before treatment, it is possible to objectively and easily evaluate the degree of healing after the treatment of the affected limb. Can do.

According to the inventions of claim 2 and claim 5 , the state of the dairy cow's leg is based on the ratio in the left-right direction, which is the ratio of the sum of the magnitudes of the accelerations in the left direction and the sum of the magnitudes of the accelerations in the right direction. Was diagnosed. Here, as described above, when a disease has occurred in any leg of a dairy cow, it will not be possible to stop the shaking of the body well with the leg, so compared to a healthy dairy cow, The acceleration on the side becomes larger. Therefore, by comparing the horizontal ratio of the dairy cow with the horizontal ratio of a healthy dairy cow, it is possible to determine whether or not a disease has occurred in any leg of the dairy cow, and whether the affected limb is between the left limb and the right limb. It is possible to objectively and easily identify which of them is. In addition, by comparing the right / left direction ratio of dairy cows after treatment of affected limbs with the right / left direction ratio of the same dairy cows before treatment, objective and easy evaluation of healing conditions after treatment of affected limbs is performed. Can do.

According to the inventions of claim 3 and claim 6 , the state of the leg of the cow based on the vertical ratio, which is the ratio of the sum of the magnitudes of the accelerations in the upward direction and the sum of the magnitudes of the accelerations in the downward direction Was diagnosed. Here, as described above, when a disease has occurred in any leg of a dairy cow, it will not be possible to stop the shaking of the body well with the leg, so it is upward compared to a healthy cow The balance between the acceleration magnitude and the downward acceleration magnitude is lost. Therefore, by comparing the vertical ratio of the dairy cow with the vertical ratio of a healthy dairy cow, it is possible to objectively and easily determine whether or not a disease has occurred in any leg of the dairy cow. Can do. In addition, by comparing the vertical ratio of dairy cows after treatment of the affected limb with the vertical ratio of the same dairy cow before treatment, objective and easy evaluation of the healing status after treatment of the affected limb is performed. Can do.

  The best mode for carrying out the present invention will be described with reference to the drawings. The present invention relates to a leg condition diagnosis system and a diagnosis method for diagnosing the condition of a dairy cow's leg, and based on the data on the magnitude and direction of acceleration of body axis motion detected during walking of the dairy cow. It diagnoses the condition of the leg. In addition, embodiment described below does not cover this invention, and this invention is not limited only to the following form.

  FIGS. 1 (a) and 1 (b) show how a wireless three-dimensional acceleration sensor used in the leg condition diagnosis system of the present invention is attached to a cow. A wireless three-dimensional acceleration sensor 3 (hereinafter abbreviated as a wireless acceleration sensor) is attached to the rear upper thoracic spine 2 of the cow 1. Pulling this cow 1 with a leash and walking the straight passage 10 meters, with a measurement interval of 5 milliseconds, the magnitude and direction of acceleration of the movement of the body axis in all directions of the cow 1 before and after, left and right, and up and down And detect. The “direction” of acceleration in this case means, for example, in the case of acceleration in the front-rear direction, whether it is the front direction or the rear direction, and the + direction is the front direction and the − direction is the rear direction. Means the sign of acceleration (whether + or-). In the present embodiment, the detection point of acceleration by the wireless acceleration sensor 3 is 1024 points. As described above, the measurement interval is 5 milliseconds, and it is necessary for one step of the four legs of the cow 1 to make a cycle. Since the time is a little less than 2 seconds, it is desirable that the acceleration detection point is 400 points (2 seconds ÷ 5 milliseconds = 400) (512 points in consideration of calculation convenience). For the same reason, when the measurement interval is 1 millisecond, it is desirable to set the acceleration detection point to 2048 points or more, and when the measurement interval is 2 milliseconds, the acceleration detection is performed. It is desirable that the points be 1024 points or more.

  As described above, the reason why the wireless acceleration sensor 3 is attached to the rearmost upper thoracic spine 2 of the dairy cow 1 is that this position is at the center of the body of the dairy cow 1 as shown in FIGS. This is because, since the position is an approximate position, by detecting the acceleration of the movement of the cow 1 at this position, the detected acceleration reflects the state of both the forelimb and the hindlimb of the cow 1. In addition, since the rearmost thoracic spine 2 is located on the center line (body axis) of the cow 1, the movement of the whole body of the cow 1 can be achieved by attaching the wireless acceleration sensor 3 to the rearmost thoracic spine 2. Therefore, it is possible to grasp whether or not the movement of the whole body of the cow 1 is balanced based on the magnitude and direction of the collected acceleration. Furthermore, if the wireless acceleration sensor 3 is mounted near the tail of the cow 1 or near the head, the detected acceleration is affected by the movement of the tail of the cow 1 or the movement of the head. easy. On the other hand, when the wireless acceleration sensor 3 is attached to the rearmost thoracic spine 2, the detected acceleration is not easily influenced by the movement of the tail or the head of the cow 1.

  Conventionally, in order to perform motion capture of humans and animals, a method of attaching a reflector 3 to an animal to be detected and photographing with a video camera is often used. When the reflector is attached to the cow, it is difficult to distinguish the reflector from the front, back and side surfaces of the dairy cow 1, so it is difficult to collect the acceleration of the body axis of the dairy cow 1 using the reflector.

  Next, based on the acceleration magnitude and orientation data detected using the wireless acceleration sensor 3, whether or not a disease has occurred in any leg of the cow 1, A method for evaluating the degree of healing after treatment of the affected limb will be described. First, using a Lissajous figure (single-vibration composite two-dimensional figure) created based on the acceleration magnitude and direction data, it is determined whether or not a disease has occurred in any leg of the dairy cow 1. In addition, a method for identifying the affected limb and evaluating the degree of healing after treatment of the affected limb (hereinafter, referred to as a first leg condition diagnosis method) will be described. In the following description, an example in which the heelless method treatment is performed on the dairy cow 1 suffering from a sole ulcer on the outer hooves of the left hind limb 12 will be described. The present invention can also be applied to the dairy cow 1 that has undergone treatment other than the method treatment. Therefore, in the following description, the part described as “heelless method treatment” may be rewritten as “treatment”.

  2, 3, 4, and 5, respectively, are shown immediately before the heelless method treatment, immediately after the treatment, 10 days after the treatment, and 21 days after the treatment of the cow 1 suffering from a sole ulcer in the outer hose of the left hind limb 12. The Lissajous figure 10 created based on the acceleration magnitude and direction data in the vertical and horizontal directions is shown. In general, when the cow 1 has a disease in one of the legs, the left and right body shakes during walking cannot be stopped well by the leg, and the acceleration on the affected limb side increases. For example, as described above, when the dairy cow 1 has a disease in the left hind limb 12, the left hind limb 12 cannot successfully stop the shaking of the body to the left during walking. growing. For this reason, as shown in FIG. 2, the spinous waveform 11 appears on the left side (affected limb side) in the Lissajous figure 10. Also, as described above, when the cow 1 has a disease in one of the legs, the left and right body swings during walking cannot be stopped well by the legs, as shown in FIG. Moreover, the Lissajous figure 10 of the cow 1 immediately before the heelless method treatment is irregularly distorted.

  On the other hand, the spinous waveform 11 does not exist on the left side of the Lissajous figure 10 immediately after the heelless method treatment shown in FIG. 3, and the shape is close to a circle (or an ellipse). This is because by performing the heelless method treatment, the cow 1 can stop the left hind limb 12 from shaking the body to the left side during walking. However, immediately after the heelless method treatment, the balance of the left-right direction and the up-down direction when the cow 1 is walking is slightly disrupted, so that the waveform of the Lissajous figure 10 is slightly disturbed as shown in FIG. Further, the cow 1 immediately after the heelless method treatment is wounded, and still has pain, so it moves cautiously. Therefore, as shown in FIG. 3, the area of the Lissajous figure 10 immediately after the heelless method treatment is smaller than the area of the Lissajous figure 10 immediately before the heelless method treatment shown in FIG.

  Further, the Lissajous figure 10 on the 10th day after the heelless method treatment shown in FIG. 4 is less distorted in waveform and more circular (or elliptical) than the Lissajous figure 10 immediately after the heelless method treatment shown in FIG. ). This is because the disease of the left hind limb 12 has been cured to some extent, so that the cow 1 can walk in a well-balanced manner with the left hind limb 12 firmly holding the left hind limb shake during walking. . However, at the 10th day after treatment with the heelless method, the dairy cow 1 does not have a bandage yet, and still has a slight pain, so it moves cautiously. Therefore, as shown in FIG. 4, the area of the Lissajous figure 10 on the 10th day after the heelless method treatment is the amount of the Lissajous figure 10 immediately after the heelless method treatment shown in FIG. It is rather smaller than the area of the figure 10.

  On the other hand, as shown in FIG. 5, the area of the Lissajous figure 10 21 days after the heelless method treatment is compared with the area of the Lissajous figure 10 10 days after the heelless method treatment shown in FIG. growing. This is because the cow 1 was bandaged, the hoof was extended, and the cow 1 was able to walk boldly as usual without feeling pain. Thus, when the affected limb is healed to some extent, the area of the Lissajous figure 10 increases, so that after the treatment of the affected limb, the area of the Lissajous figure 10 of the cow 1 after a certain period of time is the same as immediately after the treatment. By comparing with the area of the Lissajous figure 10 of the cow 1, it is possible to objectively and easily evaluate the degree of healing after treatment of the affected limb.

  6, FIG. 7, FIG. 8, and FIG. 9 show the magnitudes of acceleration in the vertical direction and the front-rear direction of the cow 1 immediately before the heelless method treatment, immediately after the treatment, 10 days after the treatment, and 21 days after the treatment, respectively. The Lissajous figure 20 created based on the data of the direction is shown. As described above, when the dairy cow 1 has a disease in the left hind limb 12, it becomes impossible to stop the shaking of the body during walking with his / her leg, so as shown in FIG. 6, the heelless method The Lissajous figure 20 of the cow 1 just before the treatment is irregularly distorted.

  In contrast, the Lissajous figure 20 immediately after the heelless method treatment shown in FIG. 7 has a shape close to an ellipse. This is because the cow 1 can stop the shaking of the body with the left hind limb 12 during walking by performing the heelless method treatment. Further, the cow 1 immediately after the heelless method treatment is wounded, and still has pain, so it moves cautiously. Therefore, as shown in FIG. 7, the area of the Lissajous figure 20 immediately after the heelless method treatment is smaller than the area of the Lissajous figure 20 immediately before the heelless method treatment shown in FIG.

  Further, the Lissajous figure 20 on the 10th day after the heelless method treatment shown in FIG. 8 becomes a shape closer to an ellipse than the Lissajous figure 20 immediately after the heelless method treatment shown in FIG. This is because the disease of the left hind limb 12 has been cured to some extent, so that the cow 1 can walk with a good balance by firmly holding the body shake during walking with the left hind limb 12. However, at the 10th day after treatment with the heelless method, the dairy cow 1 does not have a bandage yet, and still has a slight pain, so it moves cautiously. Therefore, as shown in FIG. 8, the area of the Lissajous figure 20 on the 10th day after the heelless method treatment is the amount of the Lissajous figure 20 immediately after the heelless method treatment shown in FIG. It is rather smaller than the area of the figure 20.

  On the other hand, as shown in FIG. 9, the area of the Lissajous figure 20 on the 21st day after the heelless method treatment is compared with the area of the Lissajous figure 20 on the 10th day after the heelless method treatment shown in FIG. growing. This is because the cow 1 was bandaged, the hoof was extended, and the cow 1 was able to walk boldly as usual without feeling pain. Thus, when the affected limb is healed to some extent, the area of the Lissajous figure 20 increases, so that after the treatment of the affected limb, the area of the Lissajous figure 20 of the dairy cow 1 after a certain period of time is the same as immediately after the treatment. By comparing with the area of the Lissajous figure 20 of the dairy cow 1, it is possible to objectively and easily evaluate the degree of healing after treatment of the affected limb.

  Next, a graph with the horizontal axis representing time and acceleration data of body axis movement in the front-rear direction, left-right direction, and vertical direction of the cow 1 detected using the wireless acceleration sensor 3 described above. Based on the features appearing in the waveform of this graph, a method for determining whether or not a disease has occurred in any leg of the cow 1 and identifying the affected limb (hereinafter referred to as second leg condition diagnosis) Method). 10, 11, and 12 show the magnitudes of acceleration in the left-right direction, the front-rear direction, and the up-down direction, respectively, of the dairy cow 1 suffering from white belt disease in the outer hooves of the right hind limb 43 (see FIG. 13). The graph of the direction is shown. When the cow 1 has a disease in the right hind limb 43, the right hind limb 43 cannot stop the shaking of the body to the right during walking, and the acceleration on the right side increases. For this reason, in the left-right direction graph 31 shown in FIG. In addition, as described above, since the cow 1 cannot successfully stop the swinging of the body to the right side at the time of walking with the right hind limb 43 and easily breaks the left and right balance, the waveform of the graph 31 in the left and right direction is It becomes irregular.

  In general, when the cow 1 has a disease in one of the legs, the balance tends to be lost to the affected limb during walking, and thus the acceleration on the affected limb increases. Therefore, as described above, when the cow 1 has a disease in the right hind limb 43, acceleration on the rear side increases. For this reason, a spinous waveform 37 in the backward direction appears in the graph 35 in the front-rear direction shown in FIG.

  Next, using the Lissajous figure, when the cow 1 has a disease in the right hind limb 43, it is confirmed that spinous waveforms in the right direction and the backward direction appear. FIGS. 13, 14, and 15 show Lissajous figures 41, 44, and 46 created based on the acceleration magnitude and orientation data used to create the graphs of FIGS. 10 to 12, respectively. In the Lissajous figure 41 shown in FIG. 13, a spinous waveform 42 appears in the right direction. Further, a spinous waveform 45 in the right direction also appears in the Lissajous figure 44 shown in FIG. Furthermore, a spinous waveform 47 in the backward direction appears in the Lissajous figure 46 shown in FIG.

  16, 17, and 18 show the magnitudes of acceleration in the left-right direction, the front-rear direction, and the up-down direction, respectively, after treatment (antibiotic application) of the dairy cow 1 suffering from white belt disease in the outer hind of the right hind limb 43. The graph of the direction is shown. The waveform of the left-right acceleration graph 51 after treatment shown in FIG. 16 is more regular than the waveform of the left-right acceleration graph 31 before treatment shown in FIG. Does not have a spine 32 in the right direction. Further, the waveform of the graph 55 of the longitudinal acceleration after the treatment shown in FIG. 17 does not include the spinous waveform 37 in the backward direction. This is because the cow 1 can stop the shaking of the body during walking with the right hind limb 43 by performing the treatment.

  Next, using a Lissajous figure, it is confirmed that the right and rear spinous waveforms disappear after the treatment of the disease of the right hind limb 43. 19, 20, and 21 show Lissajous figures 61, 64, and 66 created based on the acceleration magnitude and orientation data used to create the graphs of FIGS. Unlike the Lissajous figure 41 before treatment shown in FIG. 13, the Lissajous figure 61 after treatment shown in FIG. Also, unlike the pre-treatment Lissajous figure 44 shown in FIG. 14, the post-treatment Lissajous figure 64 shown in FIG. Furthermore, unlike the pre-treatment Lissajous figure 46 shown in FIG. 15, the post-treatment Lissajous figure 66 shown in FIG.

  Next, based on the acceleration magnitude and orientation data detected using the wireless acceleration sensor 3 described above, the ratio of the sum of the magnitudes of the forward accelerations and the sum of the magnitudes of the backward accelerations (hereinafter, The ratio of the sum of the accelerations in the left direction and the sum of the magnitudes of the accelerations in the right direction (hereinafter referred to as the right / left ratio), and the sum of the magnitudes of the accelerations in the upward direction and the bottom A ratio with the sum of the magnitude of acceleration in the direction (hereinafter referred to as the vertical ratio) is determined based on these ratios, whether or not a disease has occurred in any leg of the cow 1 A method for identifying the affected limb and evaluating the degree of healing after the treatment of the affected limb (hereinafter referred to as a third leg condition diagnosis method) will be described. The front-rear direction ratio, the left-right direction ratio, and the up-down direction ratio are calculated in order to compare the acceleration bias in the front-rear direction, the left-right direction, and the up-down direction during walking of the cow 1 with a healthy cow.

  FIGS. 22, 23, and 24 are calculated based on the same acceleration magnitude and orientation data as in FIGS. 10, 11, and 12, respectively. And the vertical ratio. 25, 26, and 27 are the ratios in the left and right directions after the treatment of the dairy cow 1, calculated based on the same acceleration magnitude and orientation data as those in FIGS. 16, 17, and 18, respectively. The ratio and the vertical ratio are shown. In these drawings, 60 indicates a 0 level line. The numbers in parentheses in FIGS. 25, 26, and 27 indicate the left-right direction ratio, the front-rear direction ratio, and the up-down direction ratio of the cow 1 before treatment. The left-right ratios shown in FIGS. 22 and 25 are expressed in 100 fractions with the denominator of (the sum of accelerations in the right direction + the absolute value of the sum of accelerations in the left direction). The front-rear direction ratio shown is expressed as a 100 fraction with the denominator of (the sum of the accelerations in the rear direction + the absolute value of the sum of the accelerations in the front direction). The vertical ratios shown in FIGS. 24 and 27 are expressed as 100 fractions with the sum of the accelerations in the upward direction (the absolute value of the sum of the accelerations in the downward direction) as the denominator. Here, the absolute values are used for the sum of the accelerations in the left direction, the sum of the accelerations in the forward direction, and the sum of the accelerations in the downward direction. This is because it is detected as a component value.

  As shown in FIGS. 22 and 25, the right-left direction ratio after the treatment of the cow 1 is smaller in the rightward acceleration than the left-right direction ratio before the treatment. This is because, when the cow 1 has a disease in the right hind limb 43, the right hind limb 43 cannot stop the body swinging to the right during walking, so the acceleration on the right side increases. This is because when the disease is treated, the dairy cow 1 can successfully stop the body shaking to the right side during walking with the right hind limb 43, so the acceleration on the right side becomes small.

  Further, as shown in FIGS. 23 and 26, the forward / backward ratio after the treatment of the dairy cow 1 has a smaller acceleration bias in the backward direction than the forward / backward ratio before the treatment. This is because when the cow 1 has a disease in the right hind limb 43, the balance on the rear side is often lost when walking, so the acceleration on the rear side increases, but when the disease is treated, the cow 1 This is because the rear side acceleration is reduced because the balance is less likely to be lost when walking. Furthermore, as shown in FIGS. 24 and 27, the upward and downward direction ratio of the dairy cow 1 after the treatment is smaller in the upward acceleration bias than the up and down direction ratio before the treatment. This is because, when the cow 1 has a disease in the right hind limb 43, the balance is often lost when walking, so the balance of acceleration in the upward and downward directions is also lost, but when the disease is treated, the cow 1 This is because the balance of acceleration in the upward and downward directions can be balanced because the balance is less likely to be lost during walking.

  By comparing the left-right ratio, the front-rear ratio, and the vertical ratio of the above-mentioned dairy cow 1 with the right-left ratio, the front-rear direction ratio, and the up-down ratio of a healthy cow, disease in any leg of the cow 1 It is possible to objectively and easily determine whether or not the disease has developed and identify the affected limb. Specifically, when a disease occurs in the right hind limb of the dairy cow 1, the rightward and rearward acceleration becomes large, and when a disease occurs in the right forelimb, the right direction And the bias of acceleration in the forward direction becomes large. Further, when a disease has occurred in the left hind limb of the cow 1, the deviation of acceleration in the left direction and the rear direction becomes large, and when a disease has occurred in the left forelimb, the left direction and the front direction. The acceleration bias becomes larger. In addition, by comparing the right / left ratio, front / rear direction ratio, and vertical ratio of the cow 1 after treatment of the affected limb with the left / right ratio, front / rear direction ratio, and vertical ratio of the cow 1 before treatment, It is possible to objectively and easily evaluate the degree of healing after limb treatment.

  Next, whether or not a disease has developed in any leg of the dairy cow 1 by combining two of the above ratios in the front-rear direction ratio, the left-right direction ratio, and the up-down direction ratio (whether is a cattle cow) No.), identification of the affected limb, and evaluation of the degree of healing after treatment of the affected limb (hereinafter referred to as the fourth leg state diagnosis method) will be described.

  FIG. 28 shows a combination of the right direction ratio of the left and right direction ratios and the rear direction ratio of the front and rear direction ratios, and FIG. 29 shows the upper direction of the up and down direction ratios. The ratio and the right direction ratio of the left and right direction ratios are displayed in combination. In these FIG. 28 and FIG. 29, data on a plurality of normal cattle (healthy cattle), data on a plurality of head cattle, and data after treatment of the head cattle are included. It is. 70 in FIG. 28 and 73 in FIG. 29 indicate a range in which normal cattle data can be plotted. As shown in these figures, since there is a significant difference between the data of normal cattle and the data of cattle, by using FIG. 28 and FIG. It is possible to determine whether or not a disease has occurred in the leg. Further, as indicated by arrows A and B in FIG. 28 and arrows C and D in FIG. 29, the data of the dairy cow 1 after the treatment of the affected limb is in the ranges 70 and 73 in which the data of normal cows exist. Since approaching, it is possible to evaluate the degree of healing after treatment of the affected limb by using FIGS.

  By using the above first to fourth leg condition diagnosis methods, it is possible to objectively and easily determine whether or not a disease has occurred in any leg of the cow 1 and identify the affected limb. It can be carried out. Thereby, since it becomes possible to discover and cure the disease of the leg of the dairy cow 1 at an early stage, the health condition of the dairy cow 1 can be maintained well and the milk yield can be increased.

  FIG. 30 shows the change in average milk yield immediately before treatment (the day before treatment) and the first week after treatment of leg disease of dairy cow 1. In the figure, 78 indicates the SD (standard deviation) of the average milk amount data immediately before the treatment, and 79 indicates the SD (standard deviation) of the average milk amount data in the first week after the treatment. As shown in the graphs 76 and 77 in the figure, the average milk yield in the first week after the treatment of the dairy cow 1 was significantly larger than the average milk yield immediately before the treatment. In this experiment, p (risk rate by dominant difference test) <0.01.

  In addition, by using the first to fourth leg state diagnosis methods described above, it is possible to objectively and easily evaluate the degree of healing after treatment of the affected limb of the cow 1. Thereby, the milk amount of the corresponding cow 1 can be estimated.

  FIG. 31 shows an electrical block configuration of a leg condition diagnosis system 80 employing the first to fourth leg condition diagnosis methods described above. As shown in the figure, the leg state diagnosis system 80 is mainly composed of a wireless acceleration sensor 3 and a personal computer 90. The wireless acceleration sensor 3 includes a three-dimensional acceleration sensor 81 and a three-dimensional acceleration sensor 81 for detecting the magnitude and direction of acceleration of the movement of the body axis in all the front and rear, left and right, and upper and lower directions of the cow 1. A signal processing circuit 82 for processing the transmitted signal, a wireless signal transmission unit 83 for transmitting a signal processed by the signal processing circuit 82 to the personal computer 90, an antenna 84, and each unit in the wireless acceleration sensor 3 And a battery 85 for supplying power.

  The personal computer 90 includes a CPU 91 for controlling the entire personal computer, a wireless signal receiving unit 93 for receiving a wireless signal from the wireless signal transmitting unit 83 in the wireless acceleration sensor 3 via the antenna 92, and a wireless An HDD 94 (acceleration data recording means) for storing various types of data and programs including acceleration magnitude and orientation data received from the acceleration sensor 3 and a captured image of the cow 1 captured by a video camera into a personal computer. Capture board 95, RAM 96 loaded with various programs, ROM 97 storing various control programs, and power supply unit 98 for supplying power to each block in the personal computer.

  The above-mentioned HDD 94 uses the image capturing program 101 used when capturing the captured image of the dairy cow 1 captured by the video camera into the personal computer and the dairy cow mainly using the third and fourth leg state diagnosis methods. A leg condition diagnostic program 102 for automatically determining whether or not a disease has occurred in any one of the legs, specifying the affected limb, and automatically evaluating the degree of healing after treatment of the affected limb is stored. Has been. Further, the HDD 94 has a graph creation program for creating a Lissajous figure used in the first leg state diagnosis method and a graph of acceleration magnitude and direction in three directions used in the second leg state diagnosis method. 103 and a gait DB 104 that stores data of magnitude and direction of acceleration received from the wireless acceleration sensor 3 when the cow 1 is walking. The CPU 91, the leg condition diagnosis program 102, and the graph creation program 103 correspond to the leg condition diagnosis means in the claims. The CPU 91 and the graph creation program 103 correspond to the Lissajous figure creation means in the claims. In addition, by periodically storing the acceleration (magnitude and direction) data of the dairy cow 1 in the gait DB 104 and comparing the acceleration data at each time point, any leg of the dairy cow 1 is compared. Thus, it is possible to objectively and easily evaluate the occurrence of a disease and the degree of healing after treatment of the affected limb.

  Further, the personal computer 90 includes a display 99 (output means) for displaying a graph created by the graph creation program 103 and an operation unit 100 for inputting various instructions.

  When the user instructs the CPU 91 of the personal computer 90 to diagnose the leg state of the cow 1 using the operation unit 100, the CPU 91 of the personal computer 90 is based on the acceleration magnitude and orientation data stored in the gait DB 104, Using the first to fourth leg state diagnosis methods described above, it is determined whether or not a disease has occurred in any leg of the dairy cow 1, identification of the affected limb, and the degree of cure after treatment of the affected limb. Automatically evaluates That is, automatic diagnosis processing of the state of the legs of the cow 1 is performed. Thereby, a user other than a veterinarian can objectively determine whether or not a disease has occurred in any leg of the cow 1, identify the affected limb, and evaluate the degree of healing after treatment of the affected limb. Can be done easily. Further, the CPU 91 of the personal computer 90 performs the Lissajous figure used in the first leg state diagnosis method based on the acceleration magnitude and orientation data stored in the gait DB 104 when executing the automatic diagnosis process. A graph of the magnitude and direction of acceleration in the three directions used in the second leg state diagnosis method is created and displayed on the display 99. The user can confirm that the diagnosis result by the personal computer 90 is correct by confirming the above Lissajous figure and graph.

  As described above, according to the leg condition diagnosis system and the diagnosis method according to the present embodiment, the acceleration of the movement of the body axis in at least one of the front-rear direction, the left-right direction, and the up-down direction of the cow 1 is determined. Based on the size and orientation, the leg condition of the cow 1 was diagnosed. Here, when a disease has occurred in any leg of the dairy cow 1, it becomes impossible to stop the shaking of the body with the leg, so that the acceleration on the affected limb side increases. Therefore, by comparing the magnitude and direction of the acceleration of the movement of the body axis of the dairy cow 1 with the magnitude and direction of the acceleration of the movement of the body axis of the healthy cow 1 It is possible to objectively and easily determine whether or not the disease has developed and identify the affected limb. Thereby, since it becomes possible to discover and cure the disease of the leg of the dairy cow 1 at an early stage, the health condition of the dairy cow 1 can be maintained well and the milk yield can be increased. Further, by comparing the magnitude and direction of the acceleration of the movement of the body axis of the dairy cow 1 after the treatment of the affected limb with the magnitude and direction of the acceleration of the movement of the body axis of the same dairy cow 1 before the treatment, It is possible to objectively and easily evaluate the degree of healing after treatment. Thereby, the milk amount of the corresponding cow 1 can be estimated.

  In addition, this invention is not restricted to the said embodiment, Various deformation | transformation are possible. For example, in the above embodiment, an acceleration sensor capable of transmitting a wireless signal is used as the acceleration sensor, but a wired acceleration sensor may be used. Moreover, in the said embodiment, although the three-dimensional acceleration sensor which can detect the magnitude | size and direction of the acceleration in all the front and back, right and left of a dairy cow as an acceleration sensor was used, as an acceleration sensor, You may use the two-dimensional acceleration sensor which can detect only the front-back direction and the left-right direction of a cow. Furthermore, the mounting position of the acceleration sensor on the dairy cow is not necessarily limited to the rearmost upper thoracic vertebrae of the dairy cow, and may be any position where acceleration data reflecting the state of both the forelimb and hindlimb of the cow can be collected. In the above-described embodiment, an example in which the personal computer 90 automatically diagnoses the state of the leg of the cow 1 has been shown. However, the personal computer is a Lissajous figure used in the first leg state diagnostic method, Graph of the magnitude and direction of acceleration in the three directions used in the leg condition diagnosis method, the right / left ratio, the front / rear direction ratio, and the vertical ratio used in the third leg condition diagnosis method, and the fourth leg condition diagnosis At least one of the data displayed in combination with the right ratio and the rear ratio used in the method is displayed on the display, and the user determines the state of the leg of the cow based on these data. You may make it diagnose.

(A) and (b) are a side view and a rear view of a dairy cow to which a wireless three-dimensional acceleration sensor used in the leg condition diagnosis system of the present invention is respectively attached. The figure which shows the Lissajous figure created based on the data of the acceleration of the up-down direction and the left-right direction just before the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the acceleration data of the up-down direction and the left-right direction immediately after the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the data of the acceleration of the up-down direction and the left-right direction in the 10th day after the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the data of the acceleration of the up-down direction and the left-right direction in the 21st day after the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the acceleration data of the up-down direction and the front-back direction just before the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the acceleration data of the up-down direction and the front-back direction immediately after the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the data of the acceleration of the up-down direction and the front-back direction in the 10th day after the heelless method treatment of the said cow. The figure which shows the Lissajous figure created based on the data of the acceleration of the up-down direction and the front-back direction in the 21st day after the heelless method treatment of the said cow. Graph of the magnitude and direction of acceleration in the left-right direction before treatment for a dairy cow suffering from the right hind limb. The graph of the magnitude | size and direction of the acceleration of the front-back direction before the treatment of the said dairy cow. The graph of the magnitude | size and direction of the acceleration of an up-down direction before the treatment of the said dairy cow. The figure which shows the Lissajous figure created based on the magnitude | size and direction data of the acceleration used for preparation of the graph of the said FIG.10 and FIG.12. The figure which shows the Lissajous figure created based on the magnitude | size and direction data of the acceleration used for preparation of the graph of the said FIG.10 and FIG.11. The figure which shows the Lissajous figure created based on the magnitude | size and direction data of the acceleration used for preparation of the graph of the said FIG.11 and FIG.12. A graph of the magnitude and direction of acceleration in the left-right direction after treatment for a dairy cow suffering from the right hind limb. The graph of the magnitude | size and direction of the acceleration of the front-back direction after the treatment of the said dairy cow. The graph of the magnitude | size and direction of the acceleration of an up-down direction after the treatment of the said dairy cow. The figure which shows the Lissajous figure created based on the magnitude | size and direction data of the acceleration used for preparation of the graph of the said FIG.16 and FIG.18. The figure which shows the Lissajous figure created based on the magnitude | size and direction data of the acceleration used for preparation of the graph of the said FIG.16 and FIG.17. The figure which shows the Lissajous figure created based on the magnitude | size and direction data of the acceleration used for preparation of the graph of the said FIG.17 and FIG.18. The figure which shows the left-right direction ratio before the treatment of the said dairy cow. The figure which shows the front-back direction ratio before the treatment of the said dairy cow. The figure which shows the up-down direction ratio before the treatment of the said dairy cow. The figure which shows the left-right direction ratio after the treatment of the said dairy cow. The figure which shows the front-back direction ratio after the treatment of the said dairy cow. The figure which shows the up-down direction ratio after the treatment of the said dairy cow. The figure displayed combining the right direction ratio of the said left-right direction ratio, and the rear direction ratio of the said front-back direction ratio. The figure displayed combining the upward direction ratio of the said up-down direction ratio, and the right direction ratio of the said left-right direction ratio. The graph which shows the change of the average milk amount just before the treatment of the disease of the leg of a dairy cow, and 1 week after the treatment. The electric block block diagram of the said leg state diagnostic system.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Dairy cow 2 Uppermost back thoracic vertebra 3 Wireless acceleration sensor 91 CPU (leg state diagnosis means, Lissajous figure creation means)
94 HDD (acceleration data recording means)
99 Display (output means)
102 Leg condition diagnosis program (leg condition diagnosis means)
103 Graph creation program (leg condition diagnosis means, Lissajous figure creation means)

Claims (6)

In a leg condition diagnosis system for diagnosing the condition of a dairy cow's leg,
An acceleration sensor that detects the magnitude and direction of acceleration of the movement of the body axis in at least the front-rear direction of the cow during walking of the cow;
Acceleration data recording means for recording data of acceleration magnitude and orientation at a plurality of detection points among the magnitude and orientation of acceleration detected by the acceleration sensor;
Leg condition diagnosis means for diagnosing the condition of the leg of the cow based on acceleration magnitude and orientation data at a plurality of detection points recorded in the acceleration data recording means ,
The acceleration magnitude and orientation data recorded in the acceleration data recording means include acceleration magnitude and orientation data in the longitudinal direction of the cow at a plurality of detection points,
The leg condition diagnosing means, based on the longitudinal acceleration magnitude and orientation data recorded in the acceleration data recording means, calculates the sum of the forward acceleration magnitude and the backward acceleration magnitude. A leg condition diagnosis system characterized by obtaining a ratio (hereinafter referred to as a ratio in the front-rear direction) and diagnosing the condition of the leg of the cow based on the ratio in the front-rear direction . In a leg condition diagnosis system for diagnosing the condition of a dairy cow's leg,
  An acceleration sensor for detecting the magnitude and direction of acceleration of movement of the body axis in at least the left-right direction of the cow during walking of the cow;
Acceleration data recording means for recording data of acceleration magnitude and orientation at a plurality of detection points among the magnitude and orientation of acceleration detected by the acceleration sensor;
Leg condition diagnosis means for diagnosing the condition of the leg of the cow based on acceleration magnitude and orientation data at a plurality of detection points recorded in the acceleration data recording means,
The acceleration magnitude and orientation data recorded in the acceleration data recording means includes the acceleration magnitude and orientation data in the lateral direction of the cow at a plurality of detection points,
The leg state diagnosing unit is configured to calculate a left sum of acceleration magnitudes and a right sum of acceleration magnitudes based on left and right acceleration magnitude and direction data recorded in the acceleration data recording means. A leg condition diagnosis system characterized in that a ratio (hereinafter referred to as a ratio in the left-right direction) is obtained, and a condition of the leg of the dairy cow is diagnosed based on the ratio in the left-right direction. In a leg condition diagnosis system for diagnosing the condition of a dairy cow's leg,
An acceleration sensor that detects the magnitude and direction of acceleration of the movement of the body axis in at least the vertical direction of the cow during walking of the cow;
Acceleration data recording means for recording data of acceleration magnitude and orientation at a plurality of detection points among the magnitude and orientation of acceleration detected by the acceleration sensor;
Leg condition diagnosis means for diagnosing the condition of the leg of the cow based on acceleration magnitude and orientation data at a plurality of detection points recorded in the acceleration data recording means,
The acceleration magnitude and orientation data recorded in the acceleration data recording means includes the acceleration magnitude and orientation data of the cow in the vertical direction at a plurality of detection points,
The leg condition diagnosis means is based on the vertical acceleration magnitude and orientation data recorded in the acceleration data recording means, and the sum of the acceleration magnitudes in the upward direction and the sum of the magnitudes of the downward accelerations. A leg condition diagnosis system characterized by obtaining a ratio (hereinafter, referred to as a ratio in the vertical direction) and diagnosing the condition of the leg of the cow based on the vertical ratio. In the leg condition diagnosis method for diagnosing the condition of the leg of a cow,
Detecting the magnitude and direction of acceleration of the movement of the body axis at least in the front-rear direction of the cow during walking of the cow;
Of the detected acceleration magnitudes and orientations, the longitudinal acceleration magnitude and orientation data at a plurality of detection points are recorded, and based on these data, the sum of the forward acceleration magnitudes and the backward accelerations are recorded. A leg state diagnosing method characterized in that a ratio (hereinafter referred to as a front-rear direction ratio) with respect to the sum of the sizes of the dairy cows is obtained, and the leg state of the cow is diagnosed based on the front-rear direction ratio. In the leg condition diagnosis method for diagnosing the condition of the leg of a cow,
Detecting the magnitude and direction of acceleration of the movement of the body axis in at least the left-right direction of the cow during walking of the cow;
Of the detected acceleration magnitudes and orientations, data on the magnitudes and orientations of left and right accelerations at a plurality of detection points are recorded, and based on these data, the sum of the magnitudes of the accelerations in the left direction and the accelerations in the right direction are recorded. A leg condition diagnosing method, wherein a ratio with respect to the sum of the sizes of the dairy cows (hereinafter referred to as a ratio in the left-right direction) is obtained, and a condition of the leg of the cow is diagnosed based on the ratio in the left-right direction. In the leg condition diagnosis method for diagnosing the condition of the leg of a cow,
Detecting the magnitude and direction of acceleration of the movement of the body axis in at least the vertical direction of the cow during the walking of the cow;
Of the detected acceleration magnitudes and orientations, data of the acceleration magnitudes and orientations in the vertical direction at a plurality of detection points are recorded, and based on these data, the sum of the magnitudes of the upward accelerations and the downward accelerations are recorded. A leg condition diagnosing method, wherein a ratio with respect to the sum of the sizes of the dairy cows (hereinafter referred to as a ratio in the vertical direction) is obtained, and the condition of the leg of the cow is diagnosed based on the ratio in the vertical direction.

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