RU2042321C1 - Method and device for determining physiological condition of milking cow - Google Patents

Abstract

FIELD: automation of animal breeding. SUBSTANCE: method involves setting up two groups of repeated temperature measurements for each cow during the morning and evening milkings, respectively, then determining the average temperature of each group

where θ_i maximum temperature of i-th milking, C; N number of temperature measurements (number of milkings before the current milking), then determining the permissible deviation of the measured maximum temperature of the current milking from the average temperature of each group of measurements

where ζ instrumental error of device, C, measuring the maximum temperature of the current milking (either morning or evening one) and comparing it with the average temperature of the corresponding group where q_c maximum temperature of the current milking, C; Δ_c deviation θ_c from the average temperature, C. Then the physiological condition of the animal is determined by comparing the obtained deviation Δ_c with the permissible deviation Δ_g. If Δ_c > Δ_g, the cow shall be included into a group of risk. The device for realization of the method comprises group switching device 17 common for all the channels, normalizing converter 18, microprocessor computer 22, device 22 for entering the initial data and programming the operating modes, device 21 for automatic identification of the animal's number, reprogrammed memory device 23, reading device 24, signal device 25, interface unit 26, programmed timer 27, quartering transmitters 1-8 and switching devices 9-16. EFFECT: higher efficiency of determining physiological condition of milking cows, reliability and accuracy of timely detection of sickness of milking cows. 2 cl, 3 dwg

Description

The invention relates to the automation of animal husbandry, in particular to methods and means of monitoring the health status of lactating cows during milking
The aim of the invention is to increase the efficiency of the method by timely diagnosis of the disease.

 In FIG. Figure 1 shows the temperature curves of the morning and evening temperatures of one of the cows, which in the process of research has not changed its physiological state. Figure 2 shows the temperature curves of one of the cows, in which the inflammatory process was detected.

 An example of the method. For ten days, a group of cows, of approximately the same age and breed, kept under the same conditions and characterized by productivity, which at the beginning of the experimental studies were diagnosed by a veterinarian as being practically healthy, measured the maximum temperature of milk by quarter-way sensors during morning and evening milking.

 During the study period, in eight cows, the physiological state did not change, Fig. 1, and in two there was an inflammatory process diagnosed by the veterinarian of Fig. 2, which was stopped by timely treatment. Since a noticeable increase in temperature in this cow occurred on the eighth day of research, for the purpose of illustrating the example, for both cases the number of temperature measurements N preceding the current one was considered equal to seven. According to (Romanovsky V. I. The main tasks of the theory of errors. M-L, GITTL, 1947), such a number of measurements makes it possible to obtain, with an error Δ = σ, the reliability of measurements H = 0.95.

сначала определяли средние температуры

для утренних и вечерних измерений. Далее по формуле
Δ_д= +

+ ζ вычисляли допустимое отклонение Δ_д, на которое может отличаться измеренная максимальная температура текущей дойки от средней для каждого массива температур. Далее, считая текущей температурой температуру последующих восьмого, девятого и десятого дня исследований, по формуле

Δ_т определяли соответствующие отклонения Δ_т от средней температуры.According to the formula
θ

first determined average temperatures

for morning and evening measurements. Further according to the formula
Δ _d = +

+ ζ, the permissible deviation Δ _{d was} calculated, by which the measured maximum temperature of the current milking can differ from the average for each temperature array. Further, considering the current temperature as the temperature of the next eighth, ninth and tenth day of research, according to the formula

Δ _t determined the corresponding deviations of Δ _t from the average temperature.

 The calculation results for the first cow were placed in table 1, for the second in table 2.

Table analysis 1 showed that on the eighth, ninth and tenth day Δ _t was no more than Δ _d , therefore the cow did not change its physiological state.

Analysis of Table 2 showed that on the eighth and ninth day, Δ _t was greater than Δ _d , and the veterinarian diagnosed the inflammatory process in the cow. After treatment, on the tenth day, Δ _t was no more than Δ _d .

 Figure 3 shows the structural diagram of the proposed device for determining the physiological state of the lactating cow, designed for eight milking machines of an automated milking machine.

 The device contains blocks of four-quarter sensors 1, 2, 3, 4, 5, 6, 7, 8, the outputs of which are connected to the corresponding inputs of the switches 9, 10, 11, 12, 13, 14, 15, 16, the outputs of which are connected to the input of the group a switch 17, the output of which is connected to the input of the normalizing converter 18, the output of which is connected to the input of the analog-to-digital converter 19, the output of which is connected to the first input of the microprocessor computing device (MVD) 22, to the second input of which the output of the input data input device and programmer are connected operating modes 20, and the output of the device for automatic identification of animal numbers 21 is connected to the third input of MVU 22; the first bi-directional output of the MVU 22 is connected to a non-volatile reprogrammable memory 23, the second output of the MVU 22 is connected to the input of the reading device 24, the third output of the MVU 22 is connected to the input of the signaling device 25, the fourth output of the MVU 22 is connected to the input of the interface 26, which has its bi-directional output connected to the microcomputer, the fifth bi-directional output of the MVU 22 is connected to a non-volatile programmable timer 27.

 The operation of the device is as follows: MVU 22 polls the timer 27 and from the non-volatile reprogrammable memory 23 selects the appropriate array of temperatures. Next, the MVU 22 polls the device for automatically identifying animals 21 and assigns these numbers to the sensor blocks 1, 2, 3, 4, 5, 6, 7, 8. Then the sensor blocks 1, 2, 3, 4, 5, 6, 7 are interrogated , 8 using a group switch 17, and inside each sensor block 1, 2, 3, 4, 5, 6, 7, 8, using the corresponding switches 9, 10, 11, 12, 13, 14, 15, 16 sequential polling of quarter-temperature sensors. From the output of the group switch 17, the measured information is fed to the normalizing converter 18, and then to the input of the analog-to-digital converter 19, which, by the signal of the MVU 22, converts the analog value into a proportional code, which is then read. According to the given algorithm, MVU 22 performs mathematical processing of the measured information: it stores the maximum temperature, compares it with the corresponding average individual temperature, and the deviation obtained with the allowable deviation from the corresponding array of non-volatile reprogrammable memory 23. The processing results are displayed on the reading device 24, which provides an interactive mode with the operator. If the deviation exceeds the permissible deviation, a control signal is supplied to the operator from the third output of the MVU 22 to the input of the signaling device 25.

 The input device input data and programming of the operating modes 20 is intended for operational input of information during commissioning of the device. The interface unit 26 is designed to transmit the measured temperature to a microcomputer for their further processing.

When using the proposed method for determining the physiological state of a lactating cow and a device for its implementation in a dairy farm, a positive effect is achieved due to:
the reliability of determining the physiological state of lactating cows by milk temperature, which is about 0.98 fractions of units;
50% reduction in labor costs for veterinary staff when examining cows
maintaining a highly productive livestock of lactating cows with the timely detection and treatment of diseased animals;
reduce drug costs by 10%
improve the quality of milk.

Claims (1)

1. A method for determining the physiological state of a lactating cow, including measuring the maximum temperature of milk in quarters of the udder for the period of the current milking, characterized in that, in order to increase its effectiveness by timely diagnosis of the disease, the maximum temperature is repeatedly measured for morning and evening milking, and the average temperature of each measurement array

where θ _{i is the} maximum temperature of the i-th milking, ^o С;
N is the number of temperature measurements the number of milks preceding the current measurement;
determine the permissible deviation of the maximum temperature of the current milking from the average temperature of each measurement array

the error of the device, ^o C;
measure the maximum temperature q _{t of the} current milking and compare it with the average temperature of the corresponding array of measurements

where θ _{t is the} maximum temperature of the current milking, ^o С;
Δ _{t the} deviation of the maximum temperature θ _{t of the} current milking from the average temperature, ^o C,
the obtained value of the deviation of the maximum temperature of the current milking from the average temperature of each measurement array is compared with the permissible deviation of the maximum temperature Δ _{d of the} current milking from the average temperature of each measurement array and the physiological state of the lactating cow is determined, the cow is at risk when the condition is fulfilled when Δ _t > Δ _d .
2. A device for determining the physiological state of a lactating cow, comprising temperature sensors for positioning a milking machine in the manifold nozzles, analog signal switches, an analog-to-digital converter and an animal number identification unit, characterized in that, in order to increase efficiency by timely diagnosis of the disease, it equipped with a group switch common to all channels, a normalizing converter, a microprocessor computing device, a programmer unit operating modes and input of initial data, a readout unit, a reprogrammable memory unit, a programmable timer alarm unit and an interface unit, the inputs of the switches connected to the outputs of the temperature sensors, and the output of each switch connected to the corresponding input of the group switch, the output of which is connected through series-normalized and analog-to-digital converters are connected to the first input of the microprocessor calculator, to the second input of which the program unit is connected modes of operation and input of initial data, and the output of the animal number identification block is connected to the third input, while the first bi-directional output of the microprocessor meter is connected to the reprogrammable memory block, the second output is connected to the input of the reading block, the third output is connected to the input of the signaling block, and the fourth output connected to the input of the interface node, and the fifth bidirectional output is connected to a programmable timer.

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