CN117204346A - Milking equipment, detection method, detection device and storage medium - Google Patents
Milking equipment, detection method, detection device and storage medium Download PDFInfo
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- 230000000875 corresponding effect Effects 0.000 claims description 129
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 31
- 201000010099 disease Diseases 0.000 claims description 30
- 208000004396 mastitis Diseases 0.000 claims description 29
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- 230000001276 controlling effect Effects 0.000 claims description 12
- 235000020243 first infant milk formula Nutrition 0.000 claims description 12
- 208000024891 symptom Diseases 0.000 claims description 10
- 230000000762 glandular Effects 0.000 claims description 8
- 210000000481 breast Anatomy 0.000 claims description 7
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Abstract
The application discloses milking equipment, a detection method, a device and a storage medium, and relates to the technical field of computers, wherein the milking equipment comprises a sensor, a processor, a display, a milking cup group, a milk outlet and a pipeline; the outlet end of the milking cup group is connected with the first end of the pipeline, and the milk outlet is connected with the second end of the pipeline; the sensor is positioned in the pipeline and is used for detecting the conductivity of milk flowing through the pipeline corresponding to a plurality of time periods; the processor is used for determining a target change rule of the conductivity along with time according to a conductivity threshold value and conductivities corresponding to a plurality of time periods, and determining a target morbidity situation corresponding to the target change rule according to a corresponding relation between a preset reference change rule of the conductivity and a reference morbidity situation and the target change rule; the display is used for displaying the target morbidity condition. The milking device can improve the detection efficiency.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a milking device, a detection method, a device, and a storage medium.
Background
Cow and sheep milk becomes a necessity for people to live, and the quality of the cow and sheep milk has influence on the health of human bodies. Mastitis is a common disease of cattle and sheep, and can affect not only the health of the cattle and sheep, but also the quality of milk produced by the cattle and sheep.
At present, aiming at animals such as cattle and sheep, the common mastitis detection method mainly carries out detection through special chemical reagents, but the method needs to carry out independent sampling, so that real-time online continuous detection cannot be realized, and for pastures with larger scale, the workload is extremely large, the detection cost is higher, and the detection efficiency is poorer.
Disclosure of Invention
The application provides a milking device, a detection method, a detection device and a storage medium, which can improve detection efficiency.
In order to achieve the above purpose, the application adopts the following technical scheme:
in a first aspect, the present application provides a milking device comprising: the device comprises a sensor, a processor, a display, a milking cup group, a milk outlet and a pipeline;
the outlet end of the milking cup group is connected with the first end of the pipeline, and the milk outlet is connected with the second end of the pipeline;
the sensor is positioned in the pipeline and is used for detecting the conductivity of milk flowing through the pipeline corresponding to a plurality of time periods;
the processor is used for determining a target change rule of the conductivity along with time according to a conductivity threshold value and conductivities corresponding to a plurality of time periods, and determining a target morbidity situation corresponding to the target change rule according to a corresponding relation between a preset reference change rule of the conductivity and a reference morbidity situation and the target change rule; the sum of the time periods is the total milking duration of one target object;
the display is also used for displaying the target morbidity condition.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity;
the processor is specifically configured to determine that a target change rule of the electrical conductivity with time is a first change rule if the first electrical conductivity is greater than the electrical conductivity threshold and the second electrical conductivity is greater than the electrical conductivity threshold, where a disease condition corresponding to the first change rule is breast tissue infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity;
the processor is specifically configured to determine that a target change rule of the electrical conductivity with time is a second change rule if the first electrical conductivity is greater than the electrical conductivity threshold and the second electrical conductivity is less than the electrical conductivity threshold, where a disease condition corresponding to the second change rule is new mastitis infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity;
the processor is specifically configured to determine that a target change rule of the electrical conductivity with time is a third change rule if the first electrical conductivity is smaller than the electrical conductivity threshold and the second electrical conductivity is larger than the electrical conductivity threshold, where a disease condition corresponding to the third change rule is glandular mastitis.
In some possible implementations, the processor is further configured to obtain an effective duration of a target period corresponding to a conductivity higher than the conductivity threshold, and determine a severity of the onset condition according to a ratio of the effective duration of the target period to a total duration of a plurality of periods, where the severity is positively correlated with the ratio.
In some possible implementations, the apparatus further comprises a first milk conduit and a second milk conduit;
the processor is further used for controlling the milk outlet to be communicated with the first milk conveying pipeline if the target morbidity represents that the target object has no symptoms; and if the target morbidity represents that the target object has symptoms, controlling the milk outlet to be communicated with the second milk conveying pipeline.
In some possible implementations, the display is further configured to display the target change rule.
In some possible implementations, where the target object is a cow or sheep, the conductivity is measured in the range of 0-50 kiloohms; in the case where the target object is a mammal other than the cow or the sheep, the measurement range of the electrical conductivity is 0 to 200 kiloohms.
In a second aspect, the present application provides a detection method comprising:
acquiring the conductivity of milk flowing through a pipeline in a plurality of time periods, wherein the sum of the time periods is the total milking duration of a target object;
determining a target change rule of the conductivity along with time according to the conductivity threshold value and the conductivities corresponding to the time periods;
determining a target morbidity condition corresponding to a target variation rule according to a preset corresponding relation between a reference variation rule of conductivity and a reference morbidity condition and the target variation rule;
displaying the target morbidity condition.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining a target change rule of the conductivity along with time according to the conductivity threshold and the conductivities corresponding to the time periods comprises the following steps:
if the first conductivity is larger than the conductivity threshold and the second conductivity is larger than the conductivity threshold, determining a target change rule of the conductivity along with time as a first change rule, wherein the morbidity condition corresponding to the first change rule is breast tissue infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining a target change rule of the conductivity along with time according to the conductivity threshold and the conductivities corresponding to the time periods comprises the following steps:
if the first conductivity is larger than the conductivity threshold and the second conductivity is smaller than the conductivity threshold, determining a target change rule of the conductivity along with time as a second change rule, wherein the morbidity condition corresponding to the second change rule is new mastitis infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining a target change rule of the conductivity along with time according to the conductivity threshold and the conductivities corresponding to the time periods comprises the following steps:
if the first conductivity is smaller than the conductivity threshold and the second conductivity is larger than the conductivity threshold, determining a target change rule of the conductivity along with time as a third change rule, wherein the morbidity condition corresponding to the third change rule is glandular mastitis.
In some possible implementations, the method further includes: and acquiring the effective duration of a target time period corresponding to which the conductivity is higher than the conductivity threshold, and determining the severity of the morbidity according to the proportion of the effective duration of the target time period to the total duration of a plurality of time periods, wherein the severity is positively correlated with the proportion.
In some possible implementations, the method further includes: if the target morbidity represents that the target object has no symptoms, controlling the milk outlet to be communicated with the first milk conveying pipeline; and if the target morbidity represents that the target object has symptoms, controlling the milk outlet to be communicated with the second milk conveying pipeline.
In some possible implementations, the method further includes: and displaying the target change rule.
In some possible implementations, where the target object is a cow or sheep, the conductivity is measured in the range of 0-50 kiloohms; in the case where the target object is a mammal other than the cow or the sheep, the measurement range of the electrical conductivity is 0 to 200 kiloohms.
In a third aspect, the present application provides a detection apparatus comprising:
the acquisition module is used for acquiring the conductivity of the milk flowing through the pipeline in a plurality of time periods, wherein the sum of the time periods is the total milking duration of one target object;
the determining module is used for determining a target change rule of the conductivity along with time according to the conductivity threshold value and the conductivities corresponding to the time periods; determining a target morbidity condition corresponding to a target variation rule according to a preset corresponding relation between a reference variation rule of conductivity and a reference morbidity condition and the target variation rule;
and the display module is used for displaying the target morbidity condition.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining module is specifically configured to determine that a target change rule of the conductivity with time is a first change rule if the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold, where a disease condition corresponding to the first change rule is breast tissue infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining module is specifically configured to determine that a target change rule of the conductivity with time is a second change rule if the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold, where a disease condition corresponding to the second change rule is new mastitis infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining module is specifically configured to determine that a target change rule of the electrical conductivity with time is a third change rule if the first electrical conductivity is smaller than the electrical conductivity threshold and the second electrical conductivity is larger than the electrical conductivity threshold, where a disease condition corresponding to the third change rule is glandular mastitis.
In some possible implementations, the obtaining module is further configured to obtain an effective duration of a target period corresponding to a conductivity higher than the conductivity threshold; the determining module is further configured to determine a severity of the morbidity according to a proportion of the effective duration of the target period to a total duration of a plurality of periods, where the severity is positively correlated to the proportion.
In some possible implementations, the apparatus further includes a control module for controlling the milk outlet to communicate with the first milk conduit if the target morbidity condition characterizes the target subject as being free of a condition; and if the target morbidity represents that the target object has symptoms, controlling the milk outlet to be communicated with the second milk conveying pipeline.
In some possible implementations, the display module is further configured to display a target change rule.
In some possible implementations, where the target object is a cow or sheep, the conductivity is measured in the range of 0-50 kiloohms; in the case where the target object is a mammal other than the cow or the sheep, the measurement range of the electrical conductivity is 0 to 200 kiloohms.
In a fourth aspect, the present application provides a computer readable storage medium for storing a computer program for performing the method of any one of the second aspects.
According to the technical scheme, the application has at least the following beneficial effects:
the application discloses a milking device, which comprises a sensor, a processor, a display, a milking cup group, a milk outlet and a pipeline, wherein the outlet end of the milking cup group is connected with the first end of the pipeline, the milk outlet is connected with the second end of the pipeline, the sensor is positioned in the pipeline and is used for detecting the conductivity of milk flowing through the pipeline in a plurality of time periods, the processor is used for determining the target change rule of the conductivity along with time according to a conductivity threshold value and the conductivities corresponding to the time periods, and determining the target morbidity corresponding to the target change rule according to the preset reference change rule of the conductivity and the corresponding relation of the reference morbidity and the target change rule; the display is used to display the target morbidity. According to the application, the milking equipment can carry out real-time online continuous detection on the disease condition of the target object while milking, and independent sampling treatment is not needed again, so that the workload of staff is reduced and the detection efficiency is improved for pastures with larger scale.
It should be appreciated that the description of technical features, aspects, benefits or similar language in the present application does not imply that all of the features and advantages may be realized with any single embodiment. Conversely, it should be understood that the description of features or advantages is intended to include, in at least one embodiment, the particular features, aspects, or advantages. Therefore, the description of technical features, technical solutions or advantageous effects in this specification does not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions and advantageous effects described in the present embodiment may also be combined in any appropriate manner. Those of skill in the art will appreciate that an embodiment may be implemented without one or more particular features, aspects, or benefits of a particular embodiment. In other embodiments, additional features and advantages may be recognized in certain embodiments that may not be present in all embodiments.
Drawings
FIG. 1 is a schematic view of a milking device according to an embodiment of the present application;
fig. 2 is a schematic diagram of a first variation rule according to an embodiment of the present application;
fig. 3 is a schematic diagram of a second variation rule according to an embodiment of the present application;
fig. 4 is a schematic diagram of a third variation rule according to an embodiment of the present application;
fig. 5 is a schematic diagram of a fourth variation rule according to an embodiment of the present application;
FIG. 6 is a flowchart of a detection method according to an embodiment of the present application;
fig. 7 is a schematic diagram of a detection device according to an embodiment of the present application.
Detailed Description
The terms "first," "second," and "third," and the like, in the description and in the drawings, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
Mastitis is a common disease of cattle and sheep, and the quality of milk produced by the cattle and sheep with the mastitis is poor, so that the milk can also influence the human body drinking the milk. Since mastitis in cattle and sheep is difficult to eradicate, the main way to reduce the effect of mastitis in cattle and sheep is to discover that the cattle and sheep have the mastitis as soon as possible.
At present, aiming at animals such as cattle and sheep, the common mastitis detection method mainly detects by a special chemical reagent, and the method needs to sample the cattle and sheep independently, has poor efficiency and can not detect during milking. For large-scale pastures, the single sampling scheme will create a significant additional effort, and if re-detected later, a greater additional effort. Another solution is to determine whether the cattle and sheep have mastitis by conductivity of milk produced by the cattle and sheep, but this method only can know whether the cattle and sheep have mastitis, but cannot know the disease condition (for example, disease position) of the cattle and sheep.
In view of this, the application provides a milking device comprising a sensor, a processor, a display, a teatcup set, a milk outlet and a pipeline, wherein an outlet end of the teatcup set is connected with a first end of the pipeline, the milk outlet is connected with a second end of the pipeline, the sensor is located in the pipeline, the sensor is used for detecting the electrical conductivity of milk flowing through the pipeline in a plurality of time periods, the processor is used for determining a target change rule of the electrical conductivity along with time according to an electrical conductivity threshold value and the electrical conductivity in a plurality of time periods, determining a target morbidity situation corresponding to the target change rule according to a preset reference change rule of the electrical conductivity and a reference morbidity situation, and the target change rule, and the display is used for displaying the target morbidity situation.
In the method, the milking equipment detects the morbidity of the cattle and sheep while milking, so that additional workload of independent sampling is not needed, and the detection efficiency is improved. The milking device may also determine the onset of the target subject, e.g. a specific onset position, based on the law of variation of the conductivity of milk produced by the target subject over a plurality of time periods, providing a data basis for subsequent diagnosis and treatment.
In order to make the technical scheme of the application clearer and easier to understand, the technical scheme provided by the embodiment of the application is described below with reference to the accompanying drawings.
Fig. 1 is a schematic view of a milking device according to an embodiment of the present application. The milking device comprises a sensor 101, a display 102, a teatcup set 103, a milk outlet 104, a line 105 and a processor (not shown in the figures).
The outlet end of the teatcup set 103 is connected to a first end of a tube 105, the milk outlet 104 is connected to a second end of the tube 105, in some examples the second end of the tube 105 is the milk outlet 104, a sensor 101 is located in the tube 105, the sensor 101 being adapted to detect the electrical conductivity of milk flowing through the tube 105 for a plurality of periods. The display 102 is used to display the target morbidity condition. In some examples, the display 102 may also be used to demonstrate a target change law.
The processor is used for determining a target change rule of the conductivity along with time according to the conductivity threshold value and the conductivities corresponding to the time periods, and determining a target morbidity situation corresponding to the target change rule according to a preset corresponding relation between the reference change rule of the conductivity and the reference morbidity situation and the target change rule.
The conductivity threshold may be a value set manually, or may be determined based on a value of conductivity corresponding to milk produced by cattle or sheep having mastitis.
The law of change of conductivity with time can mean that the conductivity is firstly increased and then decreased with time, is firstly increased and then kept unchanged, is firstly kept low in conductivity and then increased, is kept low in conductivity all the time and the like.
The onset condition may refer to a condition of onset of the target object, and may be, for example, an onset position of the target object.
The correspondence between the reference change law and the reference onset condition can be seen in table 1.
Table 1:
| reference law of change of conductivity with time | Reference to the onset of disease |
| Firstly, the size is increased and then decreased | New infection of mastitis |
| First grow larger and then maintain larger conductivity | Infection of mammary tissue |
| First maintaining small conductivity and then becoming large | Glandular cell mastitis |
| Always keep the conductivity small | No disease occurrence |
| …… | … |
After determining the target change rule of the conductivity of the milk produced by the target object over time, the processor may determine the target morbidity condition corresponding to the target change rule based on the corresponding relationship shown in table 1.
It should be noted that the change law of the conductivity with time and the corresponding onset conditions shown in table 1 are only exemplary descriptions. The table 1 may be determined based on actual conditions of occurrence corresponding to a plurality of target subjects and a change rule of the electrical conductivity of milk produced by the target subjects.
During milking of a target object (e.g. an animal such as a cow, sheep, etc.), the milk produced by the target object may first pass through the conduit 105, and the sensor 101 may detect the electrical conductivity of the milk flowing through the conduit 105 during a plurality of time periods, which may include, for example, a first time period and a second time period, the first time period being earlier than the second time period, the electrical conductivity corresponding to the first time period being the first electrical conductivity, and the electrical conductivity corresponding to the second time period being the second electrical conductivity. After the sensor 101 collects the conductivities for a plurality of time periods, the conductivities for the plurality of time periods may be transmitted to the processor. Wherein the sum of the plurality of time periods is a total milking duration of one target object.
The change laws of different conductivities with time correspond to different disease conditions, and are described in various cases below.
Case 1:
after the processor receives the conductivities of the time periods, the processor judges that the first conductivity corresponding to the first time period is larger than the conductivity threshold value and the second conductivity corresponding to the second time period is larger than the conductivity threshold value, and can determine that the target change rule of the conductivity along with time is a first change rule, namely, the change rule is that the conductivity is larger first and then larger conductivity is kept.
Fig. 2 is a schematic diagram of a first variation rule according to an embodiment of the present application. As can be seen from the graph, the first law of change may be that the electrical conductivity first rises above (or initially reaches) the conductivity threshold, and then remains the greater conductivity (first becomes greater and then remains the greater conductivity).
The processor determines that the target change rule of the conductivity along with time is a first change rule, and can determine that the disease condition corresponding to the first change rule is breast tissue infection based on the corresponding relation between the reference change rule and the reference disease condition in the table 1.
It should be noted that the change rule of the conductivity may be represented by other means, such as text, video, etc., not just by means of a curve.
Case 2:
after the processor receives the conductivities of the time periods, the processor judges that the first conductivity corresponding to the first time period is larger than the conductivity threshold value and the second conductivity corresponding to the second time period is smaller than the conductivity threshold value, and can determine that the target change rule of the conductivity along with time is a second change rule, namely, the conductivity is firstly increased and then is decreased along with time.
Fig. 3 is a schematic diagram of a second variation rule according to an embodiment of the present application. As can be seen from the figure, the second law of variation may be that the electrical conductivity first rises above the conductivity threshold and then falls below the conductivity threshold (the electrical conductivity first becomes larger and then smaller).
The processor determines that the target change rule of the conductivity along with time is a second change rule, and can determine that the disease condition corresponding to the second change rule is new mastitis infection based on the corresponding relation between the reference change rule and the reference disease condition in the table 1.
Case 3:
after the processor receives the conductivities of the time periods, the processor judges that the first conductivity corresponding to the first time period is smaller than the conductivity threshold value and the second conductivity corresponding to the second time period is larger than the conductivity threshold value, and can determine that the target change rule of the conductivity along with time is a third change rule, namely, the conductivity is kept smaller and then is enlarged.
Fig. 4 is a schematic diagram of a third variation rule according to an embodiment of the present application. As can be seen from the figure, the third law of variation may be that the conductivity first falls below the conductivity threshold and then rises above the conductivity threshold (first maintaining a small conductivity and then becoming large).
The processor determines that the target change rule of the conductivity along with time is a third change rule, and may determine that the disease condition corresponding to the third change rule is glandular mastitis based on the corresponding relationship between the reference change rule and the reference disease condition in table 1.
Case 4:
after the processor receives the conductivities of the time periods, the processor judges that the first conductivity corresponding to the first time period is smaller than the conductivity threshold value and the second conductivity corresponding to the second time period is smaller than the conductivity threshold value, and can determine that the target change rule of the conductivity along with time is a fourth change rule, namely, the conductivity is always lower than the conductivity threshold value.
Fig. 5 is a schematic diagram of a fourth variation rule according to an embodiment of the present application. As can be seen from the figure, the fourth law of variation may be that the conductivity is always below the conductivity threshold.
The processor determines that the target change rule of the conductivity along with time is a fourth change rule, and may determine that the disease condition corresponding to the fourth change rule is no disease based on the corresponding relationship between the reference change rule and the reference disease condition in table 1.
Further, the processor obtains the effective duration of the target time period corresponding to the conductivity higher than the conductivity threshold, and determines the severity of the morbidity according to the proportion of the effective duration of the target time period to the total duration of the time periods, wherein the greater the proportion is, the more serious the morbidity is.
Taking fig. 2 as an example, the first period and the second period may be divided into a plurality of sub-periods. The effective duration of the target period refers to the duration of the subperiod corresponding to which the conductivity is higher than the conductivity threshold. For example, the first period may include a first sub-period in which the conductivity is in a rising period and does not exceed a conductivity threshold, a second sub-period in which the conductivity exceeds the conductivity threshold, and a third sub-period in which the conductivity still exceeds the conductivity threshold, and thus the effective duration of the target period is the sum of the second sub-period and the third sub-period. After determining the effective duration of the target time period, the processor may determine the severity of the morbidity condition based on a proportion of the effective duration of the target time period to a total duration of the plurality of time periods.
In some examples, the correspondence between the ratio and severity may be preset, the ratio is at (0, 20% ] light, the ratio is at (20, 40% ] medium, and the ratio is at (40, 100% ] heavy.
In some embodiments, the milking apparatus may further comprise a first milk transfer conduit 106 for transferring milk from the target subject to a first storage device for storing normal milk (milk from a target subject without mastitis) and a second milk transfer conduit 107 for transferring milk from the target subject to a second storage device for storing abnormal milk (milk from a target subject with mastitis).
The processor can also control the conduction condition of the milk outlet 104 and the first milk conveying pipeline 106 and the second milk conveying pipeline 107 according to the target disease condition, and control the milk outlet 104 to be conducted with the first milk conveying pipeline 106 and the milk outlet 104 to be not conducted with the second milk conveying pipeline 107 under the condition that the target disease condition indicates that the target object has no symptoms; in case the target morbidity situation characterizes that the target object has a disorder, the milk outlet 104 is controlled to be in communication with the second milk conduit 107 and the milk outlet 104 is controlled to be in non-communication with the first milk conduit 106.
In the above embodiments, the target object is exemplified by a cow or a sheep, and in other embodiments, the target object may be another mammal (e.g., a yak, a camel, etc.). The measurement range of the electrical conductivity can be 0-50 kiloohms in the case of cattle and sheep as the target object, and 0-200 kiloohms in the case of other mammals as the target object.
Based on the above description, the embodiment of the application provides a milking device, which comprises a sensor, a processor, a display, a milking cup group, a milk outlet and a pipeline, wherein the outlet end of the milking cup group is connected with the first end of the pipeline, the milk outlet is connected with the second end of the pipeline, the sensor is positioned in the pipeline, the sensor is used for detecting the conductivity of milk flowing through the pipeline in a plurality of time periods, the processor is used for determining a target change rule of the conductivity along with time according to a conductivity threshold value and the conductivities corresponding to the time periods, and determining a target morbidity condition corresponding to the target change rule according to the preset reference change rule of the conductivity and the reference morbidity condition and the target change rule; the display is used to display the target morbidity. According to the milking equipment, the target object disease condition can be detected while milking, independent sampling treatment is not needed again, and for pastures with large scales, the workload of staff is reduced, and the detection efficiency is improved.
The embodiment of the application also provides a detection method, as shown in fig. 6, which is a flowchart of the detection method provided by the embodiment of the application, and the detection method can be applied to the milking equipment and other equipment, and the detection method comprises the following steps:
s601, acquiring the conductivity of milk flowing through the pipeline corresponding to a plurality of time periods.
Wherein the sum of the plurality of time periods is a total milking duration of one target object.
S602, determining a target change rule of the conductivity along with time according to the conductivity threshold value and the conductivities corresponding to the time periods.
S603, determining a target morbidity situation corresponding to the target variation rule according to the corresponding relation between the preset reference variation rule of the conductivity and the reference morbidity situation and the target variation rule.
S604, displaying the target morbidity condition.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining a target change rule of the conductivity along with time according to the conductivity threshold and the conductivities corresponding to the time periods comprises the following steps:
if the first conductivity is larger than the conductivity threshold and the second conductivity is larger than the conductivity threshold, determining a target change rule of the conductivity along with time as a first change rule, wherein the morbidity condition corresponding to the first change rule is breast tissue infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining a target change rule of the conductivity along with time according to the conductivity threshold and the conductivities corresponding to the time periods comprises the following steps:
if the first conductivity is larger than the conductivity threshold and the second conductivity is smaller than the conductivity threshold, determining a target change rule of the conductivity along with time as a second change rule, wherein the morbidity condition corresponding to the second change rule is new mastitis infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining a target change rule of the conductivity along with time according to the conductivity threshold and the conductivities corresponding to the time periods comprises the following steps:
if the first conductivity is smaller than the conductivity threshold and the second conductivity is larger than the conductivity threshold, determining a target change rule of the conductivity along with time as a third change rule, wherein the morbidity condition corresponding to the third change rule is glandular mastitis.
In some possible implementations, the method further includes: and acquiring the effective duration of a target time period corresponding to which the conductivity is higher than the conductivity threshold, and determining the severity of the morbidity according to the proportion of the effective duration of the target time period to the total duration of a plurality of time periods, wherein the severity is positively correlated with the proportion.
In some possible implementations, the method further includes: if the target morbidity represents that the target object has no symptoms, controlling the milk outlet to be communicated with the first milk conveying pipeline; and if the target morbidity represents that the target object has symptoms, controlling the milk outlet to be communicated with the second milk conveying pipeline.
In some possible implementations, the method further includes: and displaying the target change rule.
The device provided by the embodiment of the application is described below with reference to the accompanying drawings. As shown in fig. 7, which is a schematic diagram of a detection device according to an embodiment of the present application, the detection device 700 includes:
an acquisition module 701, configured to acquire conductivities of milk flowing through the pipeline corresponding to a plurality of time periods; wherein the sum of the plurality of time periods is a total milking duration of one target object.
A determining module 702, configured to determine a target change rule of the conductivity over time according to the conductivity threshold and the conductivities corresponding to the plurality of time periods; determining a target morbidity condition corresponding to a target variation rule according to a preset corresponding relation between a reference variation rule of conductivity and a reference morbidity condition and the target variation rule;
and the display module 703 is used for displaying the target morbidity condition.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining module 702 is specifically configured to determine that a target change rule of the electrical conductivity with time is a first change rule if the first electrical conductivity is greater than the electrical conductivity threshold and the second electrical conductivity is greater than the electrical conductivity threshold, and the morbidity condition corresponding to the first change rule is breast tissue infection.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining module 702 is specifically configured to determine that the target change rule of the electrical conductivity with time is a second change rule if the first electrical conductivity is greater than the electrical conductivity threshold and the second electrical conductivity is less than the electrical conductivity threshold, where the morbidity condition corresponding to the second change rule is new infection of mastitis.
In some possible implementations, the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity; the determining module 702 is specifically configured to determine that the target change rule of the electrical conductivity with time is a third change rule if the first electrical conductivity is smaller than the electrical conductivity threshold and the second electrical conductivity is larger than the electrical conductivity threshold, and the disease condition corresponding to the third change rule is glandular mastitis.
In some possible implementations, the obtaining module 701 is further configured to obtain an effective duration of a target period corresponding to a conductivity higher than the conductivity threshold; the determining module 702 is further configured to determine a severity of the morbidity condition according to a proportion of the effective duration of the target period to a total duration of a plurality of periods, where the severity is positively related to the proportion.
In some possible implementations, the apparatus further includes a control module for controlling the milk outlet to communicate with the first milk conduit if the target morbidity condition characterizes the target object as not having a condition, and controlling the milk outlet to communicate with the second milk conduit if the target morbidity condition characterizes the target object as having a condition.
In some possible implementations, the display module 703 is further configured to display a target change rule
The embodiment of the application also provides a computer readable storage medium. The computer readable storage medium may be any available medium that can be stored by a computing device or a data storage device such as a data center containing one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), etc. The computer-readable storage medium includes instructions that instruct a computing device to perform the detection method described above as applied to the detection apparatus 700.
Embodiments of the present application also provide a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the processes or functions in accordance with embodiments of the present application are fully or partially developed.
The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.).
The computer program product, when executed by a computer, performs any of the methods of the foregoing detection methods. The computer program product may be a software installation package, which may be downloaded and executed on a computer in case any of the above described detection methods is required.
The descriptions of the processes or structures corresponding to the drawings have emphasis, and the descriptions of other processes or structures may be referred to for the parts of a certain process or structure that are not described in detail.
The foregoing is merely illustrative of specific embodiments of the present application, and the scope of the present application is not limited thereto, but any changes or substitutions within the technical scope of the present application should be covered by the scope of the present application.
Claims (11)
1. A milking device, comprising: the device comprises a sensor, a processor, a display, a milking cup group, a milk outlet and a pipeline;
the outlet end of the milking cup group is connected with the first end of the pipeline, and the milk outlet is connected with the second end of the pipeline;
the sensor is positioned in the pipeline and is used for detecting the conductivity of milk flowing through the pipeline in a plurality of time periods, and the sum of the time periods is the total milking duration of a target object;
the processor is used for determining a target change rule of the conductivity along with time according to a conductivity threshold value and conductivities corresponding to a plurality of time periods, and determining a target morbidity situation corresponding to the target change rule according to a corresponding relation between a preset reference change rule of the conductivity and a reference morbidity situation and the target change rule;
the display is used for displaying the target morbidity condition.
2. The apparatus of claim 1, wherein the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity;
the processor is specifically configured to determine that a target change rule of the electrical conductivity with time is a first change rule if the first electrical conductivity is greater than the electrical conductivity threshold and the second electrical conductivity is greater than the electrical conductivity threshold, where a disease condition corresponding to the first change rule is breast tissue infection.
3. The apparatus of claim 1, wherein the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity;
the processor is specifically configured to determine that a target change rule of the electrical conductivity with time is a second change rule if the first electrical conductivity is greater than the electrical conductivity threshold and the second electrical conductivity is less than the electrical conductivity threshold, where a disease condition corresponding to the second change rule is new mastitis infection.
4. The apparatus of claim 1, wherein the plurality of time periods includes at least a first time period and a second time period, the first time period being earlier than the second time period, the first time period corresponding to a first conductivity and the second time period corresponding to a second conductivity;
the processor is specifically configured to determine that a target change rule of the electrical conductivity with time is a third change rule if the first electrical conductivity is smaller than the electrical conductivity threshold and the second electrical conductivity is larger than the electrical conductivity threshold, where a disease condition corresponding to the third change rule is glandular mastitis.
5. The apparatus of any one of claims 1-4, wherein the processor is further configured to obtain an effective duration of a target time period corresponding to a conductivity higher than the conductivity threshold, and determine a severity of the onset condition based on a ratio of the effective duration of the target time period to a total duration of a plurality of time periods, wherein the severity is positively correlated with the ratio.
6. The apparatus of claim 1, further comprising a first milk line and a second milk line;
the processor is further used for controlling the milk outlet to be communicated with the first milk conveying pipeline if the target morbidity represents that the target object has no symptoms; and if the target morbidity represents that the target object has symptoms, controlling the milk outlet to be communicated with the second milk conveying pipeline.
7. The apparatus of claim 1, wherein the display is further configured to display the target law of change.
8. The apparatus according to claim 1, wherein in the case where the target object is a cow or sheep, the measurement range of the electrical conductivity is 0-50 kiloohms; in the case where the target object is a mammal other than the cow or the sheep, the measurement range of the electrical conductivity is 0 to 200 kiloohms.
9. A method of detection comprising:
acquiring the conductivity of milk flowing through a pipeline in a plurality of time periods, wherein the sum of the time periods is the total milking duration of a target object;
determining a target change rule of the conductivity along with time according to the conductivity threshold value and the conductivities corresponding to the time periods;
determining a target morbidity condition corresponding to a target variation rule according to a preset corresponding relation between a reference variation rule of conductivity and a reference morbidity condition and the target variation rule;
displaying the target morbidity condition.
10. A detection apparatus, characterized by comprising:
the acquisition module is used for acquiring the conductivities of the milk flowing through the pipeline corresponding to a plurality of time periods;
the determining module is used for determining a target change rule of the conductivity along with time according to the conductivity threshold value and the conductivities corresponding to the time periods; determining a target morbidity condition corresponding to a target variation rule according to a preset corresponding relation between a reference variation rule of conductivity and a reference morbidity condition and the target variation rule;
and the display module is used for displaying the target morbidity condition.
11. A computer readable storage medium for storing a computer program for performing the method of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311317744.1A CN117204346A (en) | 2023-10-12 | 2023-10-12 | Milking equipment, detection method, detection device and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311317744.1A CN117204346A (en) | 2023-10-12 | 2023-10-12 | Milking equipment, detection method, detection device and storage medium |
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| CN117204346A true CN117204346A (en) | 2023-12-12 |
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| CN202311317744.1A Pending CN117204346A (en) | 2023-10-12 | 2023-10-12 | Milking equipment, detection method, detection device and storage medium |
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