CN117204346A - Milking equipment, detection method, device and storage medium - Google Patents

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

Milking equipment, detection method, device and storage medium

Technical field

The present application relates to the field of computer technology, and in particular to a milking equipment, detection method, device and storage medium.

Background technique

Cow and goat milk has become a necessity in people's lives, and the quality of cow and goat milk will have an impact on human health. Mastitis is a common disease among cattle and sheep. It not only affects the health of cattle and sheep, but also affects the quality of milk produced by cattle and sheep.

Currently, the commonly used mastitis detection method for animals such as cattle and sheep is mainly through special chemical reagents. However, using this method requires separate sampling and cannot achieve real-time online continuous detection. For larger-scale ranches, it is difficult to work The volume is huge, the detection cost is high, and the detection efficiency is poor.

Contents of the invention

This application provides a milking equipment, detection method, device and storage medium, which can improve detection efficiency.

In order to achieve the above purpose, this application adopts the following technical solutions:

In the first aspect, this application provides a milking equipment, including: a sensor, a processor, a display, a milking cup set, a milk outlet and a pipeline;

The outlet end of the milking cup set is connected to the first end of the pipeline, and the milk outlet is connected to the second end of the pipeline;

The sensor is located in the pipeline, and the sensor is used to detect the conductivity of the milk flowing through the pipeline in multiple periods;

The processor is used to determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods, and the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence situation, and the Describe the target change rule, and determine the target incidence corresponding to the target change rule; the sum of the multiple time periods is the total milking duration of a target object;

The display is also used to display the target's disease status.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity;

The processor is specifically configured to determine the target change pattern of conductivity over time as the first change pattern if the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold. , the incidence corresponding to the first change pattern is breast tissue infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity;

The processor is specifically configured to determine a target change pattern of conductivity over time as a second change pattern if the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold. , the incidence corresponding to the second change pattern is new mastitis infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity;

The processor is specifically configured to determine a target change rule of conductivity over time as a third change rule if the first conductivity is less than the conductivity threshold and the second conductivity is greater than the conductivity threshold. , the incidence corresponding to the third change pattern is glandular cell mastitis.

In some possible implementations, the processor is also configured to obtain the effective duration of a target period corresponding to a conductivity higher than the conductivity threshold, according to which the effective duration of the target period accounts for the total duration of multiple periods. ratio to determine the severity of the onset, wherein the severity is positively related to the ratio.

In some possible implementations, the device further includes a first milk pipeline and a second milk pipeline;

The processor is also configured to control the connection between the milk outlet and the first milk duct if the target morbidity indicates that the target object does not have a disease; if the target morbidity indicates that the target If the subject has a disease, control the connection between the milk outlet and the second milk delivery pipe.

In some possible implementations, the display is also used to display the target change rule.

In some possible implementations, when the target object is a cow or a sheep, the measurement range of conductivity is 0-50 kiloohms; the target object is another mammal other than the cow or the sheep. In the case of conductivity, the measurement range is 0-200 kiloohms.

In the second aspect, this application provides detection methods, including:

Obtain the conductivity corresponding to the milk flowing through the pipeline in multiple time periods, and the sum of the multiple time periods is the total milking time of a target object;

Determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods;

According to the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence situation, as well as the target change pattern, determine the target incidence situation corresponding to the target change pattern;

Demonstrate the target morbidity.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity; the target change pattern of the conductivity over time is determined based on the conductivity threshold and the conductivity corresponding to multiple periods, including:

If the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold, then the target change pattern of conductivity over time is determined to be the first change pattern, and the first change pattern corresponds to The incidence is breast tissue infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity; the target change pattern of the conductivity over time is determined based on the conductivity threshold and the conductivity corresponding to multiple periods, including:

If the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold, then the target change law of conductivity over time is determined to be a second change law, and the second change law corresponds to The incidence is new infection of mastitis.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity; the target change pattern of the conductivity over time is determined based on the conductivity threshold and the conductivity corresponding to multiple periods, including:

If the first conductivity is less than the conductivity threshold and the second conductivity is greater than the conductivity threshold, then the target change law of conductivity over time is determined to be a third change law, and the third change law corresponds to The disease is adenocellular mastitis.

In some possible implementations, the method further includes: obtaining an effective duration of a target period corresponding to a conductivity higher than the conductivity threshold, based on the ratio of the effective duration of the target period to the total duration of multiple periods. , determine the severity of the onset, wherein the severity is positively correlated with the proportion.

In some possible implementations, the method further includes: if the target disease situation indicates that the target subject does not have a disease, controlling the connection between the milk outlet and the first milk delivery pipeline; if the target disease situation indicates that the target subject has a disease, Control the connection between the milk outlet and the second milk delivery pipe.

In some possible implementations, the method further includes: displaying the target change rule.

In some possible implementations, when the target object is a cow or a sheep, the measurement range of conductivity is 0-50 kiloohms; the target object is another mammal other than the cow or the sheep. In the case of conductivity, the measurement range is 0-200 kiloohms.

In a third aspect, this application provides a detection device, including:

The acquisition module is used to obtain the conductivity corresponding to the milk flowing through the pipeline in multiple time periods, and the sum of the multiple time periods is the total milking time of a target object;

The determination module is used to determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods; based on the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence, as well as the target change pattern. , determine the target incidence corresponding to the target change pattern;

Display module, used to display the target disease situation.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is a second conductivity; the determination module is specifically configured to: if the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold, then The target change pattern of conductivity over time is determined as a first change pattern, and the onset corresponding to the first change pattern is breast tissue infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is a second conductivity; the determination module is specifically configured to: if the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold, then The target change pattern of conductivity over time is determined as a second change pattern, and the incidence corresponding to the second change pattern is new mastitis infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is a second conductivity; the determination module is specifically configured to: if the first conductivity is less than the conductivity threshold and the second conductivity is greater than the conductivity threshold, then The target change pattern of conductivity over time is determined as a third change pattern, and the incidence corresponding to the third change pattern is adenocellular mastitis.

In some possible implementations, the obtaining module is also configured to obtain the effective duration of the target period when the conductivity is higher than the conductivity threshold; the determining module is also configured to obtain the effective duration of the target period according to the The proportion of the duration to the total duration of multiple periods determines the severity of the onset, wherein the severity is positively correlated with the proportion.

In some possible implementations, the device further includes a control module configured to control the connection between the milk outlet and the first milk duct if the target disease condition indicates that the target subject does not have a disease; if The target disease situation represents the presence of disease in the target object, and the connection between the milk outlet and the second milk delivery duct is controlled.

In some possible implementations, the display module is also used to display the target change rules.

In some possible implementations, when the target object is a cow or a sheep, the measurement range of conductivity is 0-50 kiloohms; the target object is another mammal other than the cow or the sheep. In the case of conductivity, the measurement range is 0-200 kiloohms.

In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, and the computer program is used for executing the method according to any one of the second aspects.

It can be seen from the above technical solutions that this application has at least the following beneficial effects:

The application discloses a milking equipment, which includes a sensor, a processor, a display, a milking cup set, a milk outlet and a pipeline, wherein the outlet end of the milking cup set is connected to the first end of the pipeline, and the outlet end of the milking cup set is connected to the first end of the pipeline. The milk inlet is connected to the second end of the pipeline, and the sensor is located in the pipeline. The sensor is used to detect the conductivity of the milk flowing through the pipeline in multiple time periods, and the processor is used to detect the electrical conductivity of the milk flowing through the pipeline according to the conductivity threshold and the corresponding multiple time periods. Conductivity, determine the target change pattern of conductivity over time, and determine the target incidence situation corresponding to the target change pattern based on the preset reference change pattern of conductivity and the reference incidence situation, as well as the target change pattern; this display is used Display the target's disease status. In this application, the milking equipment can perform real-time and online continuous detection of the disease of the target object while milking, without the need for separate sampling again. For larger farms, it reduces the work of the staff. quantity, improving detection efficiency.

It should be understood that the description of technical features, technical solutions, beneficial effects or similar language in this application does not imply that all features and advantages can be achieved in any single embodiment. On the contrary, it can be understood that the description of features or beneficial effects means that specific technical features, technical solutions or beneficial effects are included in at least one embodiment. Therefore, the descriptions of technical features, technical solutions or beneficial effects in this specification do not necessarily refer to the same embodiments. Furthermore, the technical features, technical solutions and beneficial effects described in this embodiment can also be combined in any appropriate manner. Those skilled in the art will understand that embodiments can be implemented without one or more specific technical features, technical solutions or beneficial effects of a specific embodiment. In other embodiments, additional technical features and beneficial effects may also be identified in specific embodiments that do not embody all embodiments.

Description of the drawings

Figure 1 is a schematic diagram of a milking equipment provided by an embodiment of the present application;

Figure 2 is a schematic diagram of a first change law provided by an embodiment of the present application;

Figure 3 is a schematic diagram of a second change law provided by the embodiment of the present application;

Figure 4 is a schematic diagram of a third change law provided by the embodiment of the present application;

Figure 5 is a schematic diagram of a fourth change law provided by the embodiment of the present application;

Figure 6 is a flow chart of a detection method provided by an embodiment of the present application;

Figure 7 is a schematic diagram of a detection device provided by an embodiment of the present application.

Detailed ways

The terms "first", "second", "third", etc. in the description of this application and the description of the drawings are used to distinguish different objects, but are not used to limit a specific order.

In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "exemplary" or "such as" is intended to present the concept in a concrete manner.

Mastitis is a common disease among cattle and sheep. The milk produced by cows and sheep suffering from mastitis is of poor quality, which will also affect the human body of those who drink the milk. Since mastitis in cattle and sheep is difficult to eradicate, detecting mastitis in cattle and sheep as soon as possible is the main way to reduce its impact.

Currently, for animals such as cattle and sheep, the commonly used mastitis detection method is mainly through special chemical reagents. This method requires separate sampling of cattle and sheep, which is inefficient and cannot be detected while milking. For larger farms, separate sampling will generate huge additional workload, and subsequent re-testing will generate even greater additional workload. Another solution is to determine whether cattle and sheep have mastitis by measuring the conductivity of milk produced by cattle and sheep. However, this method can only know whether cattle and sheep have mastitis, but cannot know whether cattle and sheep have mastitis. Circumstances of disease onset (e.g., location of disease).

In view of this, the present application provides a milking equipment, which includes a sensor, a processor, a display, a milking cup set, a milk outlet and a pipeline, wherein the outlet end of the milking cup set and the pipeline The first end is connected, the milk outlet is connected to the second end of the pipeline, and the sensor is located in the pipeline. The sensor is used to detect the conductivity of the milk flowing through the pipeline in multiple periods, and the processor is used to detect the conductivity according to the conductivity threshold and Conductivity corresponding to multiple time periods, determine the target change pattern of conductivity over time, and determine the target incidence situation corresponding to the target change pattern based on the correspondence between the preset reference change pattern of conductivity and the reference incidence, as well as the target change pattern , the display is used to display the onset of the target.

In this method, the milking equipment detects the disease in cattle and sheep while milking, thereby eliminating the need for additional workload of separate sampling and improving detection efficiency. In addition, the milking equipment can also determine the onset of the target object, such as the specific onset location, based on the change pattern of the conductivity of the milk produced by the target object over multiple periods of time, providing a data basis for subsequent diagnosis and treatment.

In order to make the technical solutions of the present application clearer and easier to understand, the technical solutions provided by the embodiments of the present application are introduced below in conjunction with the accompanying drawings.

As shown in Figure 1, this figure is a schematic diagram of a milking equipment provided by an embodiment of the present application. The milking equipment includes a sensor 101, a display 102, a milking cup set 103, a milk outlet 104, a pipeline 105 and a processor (not shown in the figure).

The outlet end of the milking cup set 103 is connected to the first end of the pipeline 105, and the milk outlet 104 is connected to the second end of the pipeline 105. In some examples, the second end of the pipeline 105 is a milk outlet. The sensor 101 is located at the port 104 in the pipeline 105, and the sensor 101 is used to detect the corresponding conductivity of the milk flowing through the pipeline 105 in multiple time periods. The display 102 is used to display the target disease situation. In some examples, the display 102 can also be used to display the target change pattern.

The processor is used to determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods, and determine the target change pattern based on the preset reference change pattern of conductivity and the reference incidence situation, as well as the target change pattern. The target incidence corresponding to the target change pattern.

The conductivity threshold can be an artificially set value, or it can be determined based on the conductivity value corresponding to the milk produced by cattle and sheep suffering from mastitis.

The change pattern of conductivity over time can mean that the conductivity first increases and then decreases over time, first increases and then remains unchanged, first maintains low conductivity and then increases, or always maintains low conductivity, etc.

The onset condition may refer to the onset condition of the target object, for example, it may be the onset location of the target object.

The corresponding relationship between the reference change pattern and the reference incidence can be seen in Table 1.

Table 1:

Reference variation pattern of conductivity over time Refer to the disease situation First get bigger and then get smaller mastitis new infection First become larger and then maintain greater conductivity Breast tissue infection Keep the conductivity small first and then increase it adenocellular mastitis Always maintain a small conductivity No disease … …

After determining the target change pattern of the electrical conductivity of the milk produced by the target subject over time, the processor can determine the target incidence corresponding to the target change pattern based on the corresponding relationship shown in Table 1 above.

It should be noted that the changes in electrical conductivity over time and the corresponding incidences shown in Table 1 are only exemplary. This Table 1 can be determined based on the actual disease conditions corresponding to multiple target subjects and the change rules of the electrical conductivity of the milk produced by the target subjects.

When the milking equipment milks a target object (such as a cow, a sheep, etc.), the milk produced by the target object will first pass through the pipeline 105, and the sensor 101 can detect multiple times of the milk flowing through the pipeline 105. The conductivity of the time period. For example, the multiple time periods may include a first time period and a second time period. The first time period is earlier than the second time period. The conductivity corresponding to the first time period is the first conductivity. The conductivity corresponding to the second time period is is the second conductivity. After the sensor 101 collects the conductivity of multiple time periods, the sensor 101 can transmit the conductivity of the multiple time periods to the processor. Wherein, the sum of the plurality of time periods is the total milking duration of a target object.

Different conductivity changes with time correspond to different incidence situations. The following is an introduction to various situations.

Case 1:

After receiving the conductivity of multiple periods, the processor determines that the first conductivity corresponding to the first period is greater than the conductivity threshold, and the second conductivity corresponding to the second period is greater than the conductivity threshold, and the target of the conductivity over time can be determined. The change law is the first change law, that is, the conductivity first becomes larger and then maintains a larger conductivity.

As shown in Figure 2, this figure is a schematic diagram of a first change law provided by an embodiment of the present application. It can be seen from the figure that the first change law can be that the conductance first rises (or reaches it from the beginning) above the conductivity threshold, and then maintains a larger conductivity unchanged (first increases and then maintains a larger conductivity Rate).

The processor determines the target change pattern of conductivity over time as the first change pattern. Based on the correspondence between the reference change pattern and the reference incidence situation in Table 1 above, it can be determined that the incidence situation corresponding to the first change pattern is breast tissue infection. .

It should be noted that the change pattern of conductivity can also be characterized by other means, such as text, video, etc., not just by curves.

Case 2:

After receiving the conductivity of multiple periods, the processor determines that the first conductivity corresponding to the first period is greater than the conductivity threshold, and the second conductivity corresponding to the second period is less than the conductivity threshold, and the target of the conductivity over time can be determined. The change law is the second change law, that is, the conductivity first increases and then decreases with time.

As shown in Figure 3, this figure is a schematic diagram of a second change law provided by the embodiment of the present application. It can be seen from the figure that the second change law can be that the conductance first increases above the conductivity threshold, and then drops below the conductivity threshold (the conductance first increases and then decreases).

The processor determines the target change pattern of conductivity over time as the second change pattern. Based on the correspondence between the reference change pattern and the reference incidence situation in Table 1 above, it can be determined that the onset condition corresponding to the second change pattern is a new mastitis disease. Infection occurs.

Case 3:

After receiving the conductivity of multiple periods, the processor determines that the first conductivity corresponding to the first period is less than the conductivity threshold, and the second conductivity corresponding to the second period is greater than the conductivity threshold, and the target of the conductivity over time can be determined. The change law is the third change law, that is, the conductivity remains small first and then becomes larger.

As shown in Figure 4, this figure is a schematic diagram of a third change law provided by the embodiment of the present application. It can be seen from the figure that the third change law can be that the conductivity is first lower than the conductivity threshold, and then rises above the conductivity threshold (the conductivity first remains small and then becomes larger).

The processor determines the target change pattern of conductivity over time as the third change pattern. Based on the correspondence between the reference change pattern and the reference incidence situation in Table 1 above, it can be determined that the incidence condition corresponding to the third change pattern is glandular cell mastitis. .

Case 4:

After receiving the conductivity of multiple periods, the processor determines that the first conductivity corresponding to the first period is less than the conductivity threshold, and the second conductivity corresponding to the second period is less than the conductivity threshold, and the target of the conductivity over time can be determined. The change law is the fourth change law, that is, the conductivity is always lower than the conductivity threshold.

As shown in Figure 5, this figure is a schematic diagram of a fourth change law provided by the embodiment of the present application. It can be seen from the figure that the fourth change law can be that the conductivity is always lower than the conductivity threshold.

The processor determines the target change pattern of conductivity over time as the fourth change pattern, and can determine that the onset condition corresponding to the fourth change pattern is no onset based on the correspondence between the reference change pattern and the reference onset condition in Table 1 above.

Further, the processor obtains the effective duration of the target period when the conductivity is higher than the conductivity threshold, and determines the severity of the disease according to the ratio of the effective duration of the target period to the total duration of multiple periods. The greater the ratio, the greater the incidence. The more serious it is.

Taking Figure 2 as an example, the first period and the second period can be divided into multiple sub-periods. The effective duration of the target period refers to the duration of the sub-period corresponding to when the conductivity is higher than the conductivity threshold. For example, the first period may include a first sub-period, a second sub-period and a third sub-period, wherein during the first sub-period, the conductivity is in a rising period and does not exceed the conductivity threshold, and at the beginning of the second sub-period, The conductivity exceeds the conductivity threshold, and in the third sub-period, the conductivity still exceeds the conductivity threshold. Therefore, 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 period, the processor may determine the severity of the disease based on the ratio of the effective duration of the target period to the total duration of multiple periods.

In some examples, the corresponding relationship between the proportion and the severity can be preset. The proportion is (0,20%] for light, the proportion is (20,40%] is medium, and the proportion is (40,100%] is severe. Illustrative , the effective duration of the target period is 60 seconds, the total duration is 100 seconds, the processor can determine the proportion to be 60%, and then determine the severity of the disease.

In some embodiments, the milking equipment may further include a first milk delivery pipeline 106 and a second milk delivery pipeline 107, wherein the first milk delivery pipeline 106 is used to deliver milk produced by the target subject to the first storage device. , the first storage device is used to store normal milk (milk produced by the target subject without mastitis), and the second milk delivery pipe 107 is used to transport the milk produced by the target subject to the second storage device. The storage device is used to store abnormal milk (milk produced by a target subject suffering from mastitis).

The processor can also control the connection between the milk outlet 104 and the first milk pipeline 106 and the second milk pipeline 107 according to the target disease situation. When the target disease situation indicates that the target subject does not have any disease, the processor can control the milk discharge. The mouth 104 is connected to the first milk pipeline 106, and the milk outlet 104 is not connected to the second milk pipeline 107; when the target disease situation indicates that the target object has a disease, the milk outlet 104 and the second milk pipeline are controlled. The pipe 107 is connected, and the milk outlet 104 and the first milk delivery pipe 106 are not connected.

It should be noted that in the above embodiments, the target objects are cattle and sheep. In other embodiments, the target objects may also be other mammals (such as yaks, camels, etc.). When the target object is cattle or sheep, the measurement range of the conductivity can be 0-50 kiloohms. When the target object is other mammals, the measurement range of the conductivity can be 0-200 kiloohms.

Based on the above description, embodiments of the present application provide a milking equipment, which includes a sensor, a processor, a display, a milking cup set, a milk outlet and a pipeline, wherein the outlet end of the milking cup set is connected to the pipeline The first end is connected, the milk outlet is connected to the second end of the pipeline, and the sensor is located in the pipeline. The sensor is used to detect the conductivity of the milk flowing through the pipeline in multiple periods, and the processor is used to detect the conductivity according to the conductivity The threshold value and the conductivity corresponding to multiple time periods are used to determine the target change pattern of conductivity over time. Based on the correspondence between the preset reference change pattern of conductivity and the reference incidence, as well as the target change pattern, the target corresponding to the target change pattern is determined. Disease status; This display is used to display the target disease status. In this application, the milking equipment can detect the disease status of the target object while milking, without the need for separate sampling again. For larger-scale ranches, it reduces the workload of the staff and improves the efficiency of the disease. improve detection efficiency.

The embodiment of the present application also provides a detection method, as shown in Figure 6, which is a flow chart of a detection method provided by the embodiment of the present application. The detection method can be applied to the above-mentioned milking equipment, and can also be applied to For other equipment, this detection method includes:

S601. Obtain the conductivity corresponding to the milk flowing through the pipeline in multiple time periods.

Wherein, the sum of the plurality of time periods is the total milking duration of a target object.

S602. Determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple time periods.

S603. According to the correspondence between the preset reference change pattern of conductivity and the reference incidence situation, and the target change pattern, determine the target incidence situation corresponding to the target change pattern.

S604. Display the target incidence situation.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity; the target change pattern of the conductivity over time is determined based on the conductivity threshold and the conductivity corresponding to multiple periods, including:

If the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold, then the target change pattern of conductivity over time is determined to be the first change pattern, and the first change pattern corresponds to The incidence is breast tissue infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity; the target change pattern of the conductivity over time is determined based on the conductivity threshold and the conductivity corresponding to multiple periods, including:

If the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold, then the target change law of conductivity over time is determined to be a second change law, and the second change law corresponds to The incidence is new infection of mastitis.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is the second conductivity; the target change pattern of the conductivity over time is determined based on the conductivity threshold and the conductivity corresponding to multiple periods, including:

If the first conductivity is less than the conductivity threshold and the second conductivity is greater than the conductivity threshold, then the target change law of conductivity over time is determined to be a third change law, and the third change law corresponds to The disease is adenocellular mastitis.

In some possible implementations, the method further includes: obtaining an effective duration of a target period corresponding to a conductivity higher than the conductivity threshold, based on the ratio of the effective duration of the target period to the total duration of multiple periods. , determine the severity of the onset, wherein the severity is positively correlated with the proportion.

In some possible implementations, the method further includes: if the target disease situation indicates that the target subject does not have a disease, controlling the connection between the milk outlet and the first milk delivery pipeline; if the target disease situation indicates that the target subject has a disease, Control the connection between the milk outlet and the second milk delivery pipe.

In some possible implementations, the method further includes: displaying the target change rule.

The device provided by the embodiment of the present application will be introduced below with reference to the accompanying drawings. As shown in Figure 7, this figure is a schematic diagram of a detection device provided by an embodiment of the present application. The detection device 700 includes:

The acquisition module 701 is used to acquire the conductivity of the milk flowing through the pipeline in multiple time periods; wherein the sum of the multiple time periods is the total milking time of a target object.

The determination module 702 is used to determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple time periods; based on the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence, and the target change. Regularity, determine the target incidence corresponding to the target change pattern;

Display module 703 is used to display the target disease situation.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is a second conductivity; the determination module 702 is specifically used to determine if the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold, Then the target change pattern of conductivity over time is determined to be the first change pattern, and the onset corresponding to the first change pattern is breast tissue infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is a second conductivity; the determination module 702 is specifically configured to: if the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold, Then the target change pattern of conductivity over time is determined to be the second change pattern, and the incidence corresponding to the second change pattern is new mastitis infection.

In some possible implementations, the multiple time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, so The conductivity corresponding to the second period is a second conductivity; the determination module 702 is specifically configured to: if the first conductivity is less than the conductivity threshold and the second conductivity is greater than the conductivity threshold, Then it is determined that the target change pattern of conductivity over time is the third change pattern, and the incidence corresponding to the third change pattern is adenocellular mastitis.

In some possible implementations, the obtaining module 701 is also used to obtain the effective duration of the target period when the conductivity is higher than the conductivity threshold; the determining module 702 is also used to obtain the effective duration according to the target period. The proportion of the effective duration to the total duration of multiple periods is determined to determine the severity of the onset, wherein the severity is positively related to the proportion.

In some possible implementations, the device further includes a control module, the control module being configured to control the milk outlet to be connected to the first milk duct if the target disease condition indicates that the target subject does not have the disease. The target disease situation represents the presence of disease in the target object, and the connection between the milk outlet and the second milk delivery duct is controlled.

In some possible implementations, the display module 703 is also used to display the target change rules.

An embodiment of the present application also provides a computer-readable storage medium. The computer-readable storage medium may be any available medium that a computing device can store or a data storage device such as a data center that contains one or more available media. The available media may be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media (such as solid state drives), etc. The computer-readable storage medium includes instructions that instruct the computing device to perform the above-mentioned detection method applied to the detection device 700 .

Embodiments of the present application also provide a computer program product, where the computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the processes or functions described in accordance with the embodiments of the present application are generated in whole or in part.

The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another, e.g., the computer instructions may be transmitted over a wired connection from a website, computer, or data center. (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) to another website, computer or data center.

When the computer program product is executed by a computer, the computer executes any one of the aforementioned detection methods. The computer program product can be a software installation package. If any one of the foregoing detection methods is required, the computer program product can be downloaded and executed on the computer.

The descriptions of the processes or structures corresponding to each of the above drawings have different emphasis. For parts that are not described in detail in a certain process or structure, please refer to the relevant descriptions of other processes or structures.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be covered by the protection scope of the present application. .

Claims (11)

1. A milking equipment, characterized in that it includes: a sensor, a processor, a display, a milking cup set, a milk outlet and a pipeline; The outlet end of the milking cup set is connected to the first end of the pipeline, and the milk outlet is connected to the second end of the pipeline; The sensor is located in the pipeline, and the sensor is used to detect the conductivity of the milk flowing through the pipeline in multiple time periods, and the sum of the multiple time periods is the total milking time of a target object; The processor is used to determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods, and the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence situation, and the Describe the target change pattern and determine the target incidence corresponding to the target change pattern; The display is used to display the target onset condition. 2. The device according to claim 1, wherein the plurality of time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, and the conductivity corresponding to the second period is the second conductivity; The processor is specifically configured to determine the target change pattern of conductivity over time as the first change pattern if the first conductivity is greater than the conductivity threshold and the second conductivity is greater than the conductivity threshold. , the incidence corresponding to the first change pattern is breast tissue infection. 3. The device according to claim 1, wherein the plurality of time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, and the conductivity corresponding to the second period is the second conductivity; The processor is specifically configured to determine a target change pattern of conductivity over time as a second change pattern if the first conductivity is greater than the conductivity threshold and the second conductivity is less than the conductivity threshold. , the incidence corresponding to the second change pattern is new mastitis infection. 4. The device according to claim 1, wherein the plurality of time periods include at least a first time period and a second time period, the first time period is earlier than the second time period, and the conductivity corresponding to the first time period is the first conductivity, and the conductivity corresponding to the second period is the second conductivity; The processor is specifically configured to determine a target change rule of conductivity over time as a third change rule if the first conductivity is less than the conductivity threshold and the second conductivity is greater than the conductivity threshold. , the incidence corresponding to the third change pattern is glandular cell mastitis. 5. The device according to any one of claims 1 to 4, characterized in that the processor is further configured to obtain the effective duration of the target period when the conductivity is higher than the conductivity threshold. According to the The ratio of the effective duration of the target period to the total duration of multiple periods determines the severity of the onset, wherein the severity is positively correlated with the ratio. 6. The device according to claim 1, wherein the device further comprises a first milk delivery pipeline and a second milk delivery pipeline; The processor is also configured to control the connection between the milk outlet and the first milk duct if the target morbidity indicates that the target object does not have a disease; if the target morbidity indicates that the target If the subject has a disease, control the connection between the milk outlet and the second milk delivery pipe. 7. The device according to claim 1, characterized in that the display is also used to display the target change rule. 8. The device according to claim 1, characterized in that, when the target object is a cow or a sheep, the measurement range of the conductivity is 0-50 kiloohms; the target object is other than the cow or the sheep. In the case of mammals other than sheep, the conductivity measurement range is 0-200 kiloohms. 9. A detection method, characterized in that it includes: Obtain the conductivity corresponding to the milk flowing through the pipeline in multiple time periods, and the sum of the multiple time periods is the total milking time of a target object; Determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods; According to the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence situation, as well as the target change pattern, determine the target incidence situation corresponding to the target change pattern; Demonstrate the target morbidity. 10. A detection device, characterized in that it includes: The acquisition module is used to obtain the conductivity of the milk flowing through the pipeline in multiple periods; The determination module is used to determine the target change pattern of conductivity over time based on the conductivity threshold and the conductivity corresponding to multiple periods; based on the corresponding relationship between the preset reference change pattern of conductivity and the reference incidence, as well as the target change pattern. , determine the target incidence corresponding to the target change pattern; Display module, used to display the target disease situation. 11. A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method according to claim 9.