Tibetan medicinal material preparation method and system based on breeding characteristics of yaks

Abstract

The invention relates to the technical field of yak growth and reproduction cycle management, and discloses a Tibetan medicinal material configuration method and system based on yak reproduction characteristics, and the method comprises the steps: querying an influence cycle corresponding to a node type of a current growth node of a target batch of yaks; obtaining a growth environment sequence corresponding to the influence period, and obtaining a reference environment sequence; according to a preset fuzzy judgment rule and the reference environment sequence, judging the growth state grade of the target batch of yaks; according to the node type and the growth state grade, obtaining a medication demand sequence of the target batch of yaks; querying Tibetan medicinal materials of Tibetan medicinal material types in the medication demand sequence from a pre-constructed Tibetan medicinal material resource database to obtain a Tibetan medicinal material cluster set, and performing Tibetan medicinal material configuration based on monarch, minister, assistant and guide on the Tibetan medicinal material cluster set to obtain a Tibetan medicinal material configuration table conforming to the target batch of yaks. The accuracy of using Tibetan medicinal materials in yak growth cycle management can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of yak growth and reproduction cycle management, and particularly to a method and system for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks. Background Art

[0002] As a unique livestock on the Qinghai-Tibet Plateau, yaks are affected by factors such as air pressure (altitude), temperature, and grasslands. Their reproductive characteristics are significantly different from those of low-altitude cattle breeds. Blood oxygen saturation can induce hormonal secretion disorders, leading to significant fluctuations in estrus, conception, postpartum anti-inflammatory, etc. Nowadays, herdsmen mostly observe estrus behavior with the naked eye, easily missing the best breeding window. Blind use of chemical hormones (such as cloprostenol) has caused endometritis in 20% of female yaks and an increase in the deformity rate of calves.

[0003] In addition, Tibetan medicine has irreplaceable advantages in yak health management. However, due to the non-directional use of wild Tibetan medicinal materials (such as snow ganoderma lucidum and cynomorium songaricum), the annual consumption exceeds 1.5 times the ecological carrying capacity.

[0004] Nowadays, there is an urgent need for a method for reasonably configuring Tibetan medicinal materials according to the reproductive characteristics of yaks. Summary of the Invention

[0005] The present invention provides a method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks, and its main purpose is to improve the accuracy of the use of Tibetan medicinal materials in yak growth cycle management.

[0006] To achieve the above object, a method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks provided by the present invention includes:

[0007] Performing clustering statistics on pre-constructed yak reproduction statistical data based on the yak growth and reproduction cycle to obtain a standard yak growth and reproduction cycle;

[0008] According to the standard yak growth and reproduction cycle, performing real-time monitoring on the growth nodes of pre-constructed target batch yaks to obtain the current growth node;

[0009] Judging whether the current growth node is in a preset key node;

[0010] When the current growth node is in the key node, identifying the node type of the key node and using a pre-constructed environmental impact cycle table to query the impact cycle corresponding to the node type;

[0011] Obtain the target area where the yaks of the target batch grow and the yak growth environment sequence, obtain the historical environmental change sequence of the target area, and based on the historical environmental change sequence, obtain the predicted growth environment sequence of the yak growth environment sequence. Intercept the growth environment sequence corresponding to the influence period from the yak growth environment sequence and the predicted growth environment sequence to obtain the reference environment sequence;

[0012] Judge the growth status level of the yaks of the target batch according to the preset fuzzy judgment rule and the reference environment sequence;

[0013] Utilize the pre-constructed yak medication guidance manual to obtain the medication requirement sequence of the yaks of the target batch according to the node type and the growth status level;

[0014] Query the Tibetan medicinal materials of the Tibetan medicinal material types in the medication requirement sequence from the pre-constructed Tibetan medicinal material resource database to obtain a collection of Tibetan medicinal material clusters, and perform the configuration of Tibetan medicinal materials based on the monarch, minister, assistant, and guide for the collection of Tibetan medicinal material clusters to obtain the Tibetan medicinal material configuration table that meets the yaks of the target batch.

[0015] Optionally, the clustering statistics of the pre-constructed yak breeding statistics data based on the yak growth and breeding cycle includes:

[0016] Obtain the yak breeding statistics data, where the yak breeding statistics data includes yak growth environment data, yak growth cycle data, and yak health level data;

[0017] Cluster the yak breeding statistics data according to the yak health level data to obtain a collection of health level data clusters, and screen the health level data cluster with the highest health level in the collection of health level data clusters to obtain the health-optimized statistics data;

[0018] Perform a clustering operation on the health-optimized statistics data based on the order of magnitude of the yak growth environment to obtain a collection of growth environment order of magnitude data clusters, and screen the growth environment order of magnitude data cluster with the largest order of magnitude from the collection of growth environment order of magnitude data clusters to obtain the environment-optimized statistics data, and obtain the growth environment information corresponding to the environment-optimized statistics data to obtain the standard yak growth environment;

[0019] Obtain the data corresponding to the standard yak growth environment from the yak breeding statistics data, obtain the standard environment statistics data, and arrange the yak health level data for each time period in the standard environment statistics data to obtain the yak growth time axis data;

[0020] Perform a two-dimensional mapping operation based on time-health level on the yak growth time-axis data to obtain a time-health curve, and obtain the time information corresponding to the peak in the time-health curve to obtain the standard yak growth and reproduction cycle.

[0021] Optionally, the real-time monitoring of the growth nodes of the pre-constructed target batch of yaks according to the standard yak growth and reproduction cycle to obtain the current growth node includes:

[0022] Obtain the growth date of the target batch of yaks and the sequence of yak growth behavior states;

[0023] Mark the standard yak growth and reproduction cycle according to the growth date to obtain the first-level growth nodes;

[0024] Perform a growth rate recognition based on a neural network on the growth date and the sequence of yak growth behavior states to obtain the yak growth rate, and calculate the ratio of the yak growth rate to the pre-constructed standard growth rate;

[0025] Perform a weighted calculation on the first-level growth nodes according to the ratio to obtain the current growth node.

[0026] Optionally, the obtaining of the predicted growth environment sequence of the yak growth environment sequence according to the sequence of annual environmental changes includes:

[0027] Construct an environmental change curve according to the sequence of annual environmental changes, and perform a smoothing operation on the environmental change curve to obtain a smoothed environmental change curve;

[0028] Perform a regression analysis on the smoothed environmental change curve to obtain an environmental change function;

[0029] Use the environmental change function to obtain the predicted growth environment sequence according to the preset prediction time period.

[0030] Optionally, the judging of the growth state level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environment sequence includes:

[0031] According to the definition of the preset membership function in the preset fuzzy judgment rule, perform a grade division on each reference environment in the reference environment sequence to obtain an environmental parameter grade sequence;

[0032] Perform a weighted average calculation on the environmental parameter grade sequence according to the preset weight distribution table in the fuzzy judgment rule to obtain a growth state index;

[0033] According to the preset grading criteria in the fuzzy judgment rule, identify the grade corresponding to the growth state index to obtain the growth state grade. Among them, the growth state grade includes grade A, grade B, grade C, and grade D. Among them, grade A belongs to the preset type that does not require interference, and grade B, grade C, and grade D belong to the preset type that requires interference.

[0034] Optionally, the method of using the pre-constructed yak medication guidance manual to obtain the medication requirement sequence of the target batch of yaks according to the node type and growth state grade includes:

[0035] Use the pre-constructed yak medication guidance manual to judge the relationship between the node type and the growth state grade;

[0036] If the node type is the preset estrus start node and the growth state grade belongs to the type that requires interference, then configure the preset estrus induction compound according to the grade of the type that requires interference to obtain the medication requirement sequence;

[0037] If the node type is the preset estrus end node and the growth state grade belongs to the type that requires interference, then configure the preset conception rate improvement compound according to the grade of the type that requires interference to obtain the medication requirement sequence;

[0038] If the node type is the preset pregnancy start node and the growth state grade belongs to the type that requires interference, then configure the preset nutrition improvement compound according to the grade of the type that requires interference to obtain the medication requirement sequence;

[0039] If the node type is the preset pregnancy end node and the growth state grade belongs to the type that requires interference, then configure the preset postpartum anti-inflammatory compound according to the grade of the type that requires interference to obtain the medication requirement sequence.

[0040] Optionally, the method of performing Tibetan medicine configuration based on the monarch, minister, assistant, and envoy on the Tibetan medicine cluster set to obtain the Tibetan medicine configuration table that meets the target batch of yaks includes:

[0041] According to the compound type, perform classification operations based on the monarch, minister, assistant, and envoy on each Tibetan medicine cluster in the Tibetan medicine cluster set to obtain a sub-cluster set of each Tibetan medicine cluster;

[0042] Use the sub-cluster sets of each Tibetan medicine cluster to construct a hierarchical topology graph of the monarch, minister, assistant, and envoy. Among them, one Tibetan medicine can be selected from each layer in the hierarchical topology graph of the monarch, minister, assistant, and envoy, and the Tibetan medicines in the same layer can be replaced;

[0043] Randomly configure the monarch-minister-assistant-servant hierarchical topology diagram to obtain a set of randomly configured tables of traditional Chinese medicinal materials that meet the sequence of the medicinal material requirements, and according to the pre-constructed price information of traditional Chinese medicinal materials, screen the randomly configured table of traditional Chinese medicinal materials with the lowest total drug price in the set of randomly configured tables of traditional Chinese medicinal materials to obtain the configured table of traditional Chinese medicinal materials for yaks of the target batch that meets the requirements.

[0044] Optionally, after obtaining the configured table of traditional Chinese medicinal materials for yaks of the target batch, the method further includes:

[0045] Extract a target yak from the target batch of yaks, and obtain the individual difference ratio between the target yak and the target batch of yaks;

[0046] According to the individual difference ratio, perform weighted calculation on the amount of traditional Chinese medicinal materials in the configured table of traditional Chinese medicinal materials to obtain the configured table of traditional Chinese medicinal materials corresponding to the target yak.

[0047] To achieve the above object, the present invention also provides a system for configuring traditional Chinese medicinal materials based on the reproductive characteristics of yaks, including:

[0048] A yak key node recognition module, which is used to perform clustering statistics on the pre-constructed yak reproductive statistical data based on the yak growth and reproduction cycle to obtain the standard yak growth and reproduction cycle, and according to the standard yak growth and reproduction cycle, perform real-time monitoring on the growth nodes of the pre-constructed target batch of yaks to obtain the current growth node, and judge whether the current growth node is in a preset key node;

[0049] A reference environment acquisition module, which is used to identify the node type of the key node when the current growth node is in the key node, use the pre-constructed environmental impact cycle table to query the impact cycle corresponding to the node type, and obtain the target area where the target batch of yaks grows and the yak growth environment sequence, obtain the historical environmental change sequence of the target area, and according to the historical environmental change sequence, obtain the predicted growth environment sequence of the yak growth environment sequence, and intercept the growth environment sequence corresponding to the impact cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain the reference environment sequence;

[0050] A yak drug requirement recognition module, which is used to judge the growth state level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environment sequence, and use the pre-constructed yak medication guidance manual to obtain the medication requirement sequence of the target batch of yaks according to the node type and the growth state level;

[0051] A Tibetan medicinal material configuration module, which is used to query the Tibetan medicinal materials of the Tibetan medicinal material types in the medication requirement sequence from a pre-built Tibetan medicinal material resource database, obtain a collection of Tibetan medicinal material clusters, and perform Tibetan medicinal material configuration based on the monarch, minister, assistant, and guide on the collection of Tibetan medicinal material clusters to obtain a Tibetan medicinal material configuration table that meets the target batch of yaks.

[0052] Optionally, the clustering statistics of the pre-built yak breeding statistics data based on the yak growth and breeding cycle to obtain the standard yak growth and breeding cycle includes:

[0053] Obtain yak breeding statistics data, where the yak breeding statistics data includes yak growth environment data, yak growth cycle data, and yak health degree data;

[0054] According to the yak health degree data, cluster the yak breeding statistics data to obtain a collection of health level data clusters, and screen the health level data cluster with the highest health level in the collection of health level data clusters to obtain health-optimized statistics data;

[0055] Perform a clustering operation on the health-optimized statistics data based on the order of magnitude of the yak growth environment to obtain a collection of growth environment order of magnitude data clusters, and screen the growth environment order of magnitude data cluster with the largest order of magnitude from the collection of growth environment order of magnitude data clusters to obtain environment-optimized statistics data, and obtain the growth environment information corresponding to the environment-optimized statistics data to obtain the standard yak growth environment;

[0056] From the yak breeding statistics data, obtain the data corresponding to the standard yak growth environment to obtain standard environment statistics data, and arrange the yak health degree data for each time period in the standard environment statistics data to obtain yak growth time axis data;

[0057] Perform a two-dimensional mapping operation on the yak growth time axis data based on time-health degree to obtain a time-health curve, and obtain the time information corresponding to the peak value in the time-health curve to obtain the standard yak growth and breeding cycle.

[0058] To solve the above problems, the present invention also provides an electronic device, and the electronic device includes:

[0059] A memory that stores at least one instruction;

[0060] A processor that executes the instructions stored in the memory to implement the above-mentioned method for configuring Tibetan medicinal materials based on yak breeding characteristics.

[0061] To solve the above problems, the present invention also provides a computer-readable storage medium storing at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks.

[0062] To solve the problems described in the background art, the present invention first identifies the growth state of yaks to obtain the current growth node of yaks, and then obtains the changes in the environment of yaks in a previous period of time and a future period of time. Through the node, the goal of managing yaks can be understood, and through the changes in the environment, the interference of the environment on the goal can be viewed, so as to judge the growth state level of yaks. According to the growth state level, it can be known whether human interference is needed, such as adding nutrition or medicine; the present invention can obtain a drug demand sequence according to the growth state level to better manage the health of yaks, and through the subsequent query and configuration of Tibetan medicinal materials, the rationality of the configuration of Tibetan medicinal materials can be improved. Therefore, the present invention can improve the accuracy of the use of Tibetan medicinal materials in the management of the growth cycle of yaks. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 is a schematic flowchart of a method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks provided by an embodiment of the present invention;

[0064] Figure 2 is a functional module diagram of a system for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks provided by an embodiment of the present invention;

[0065] Figure 3 is a schematic structural diagram of an electronic device for implementing the method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks provided by an embodiment of the present invention.

[0066] Description of the reference numerals:

[0067] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0068] The realization, functional features and advantages of the object of the present invention will be further described in conjunction with the embodiments with reference to the drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0069] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0070] An embodiment of the present application provides a method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks. The execution subjects of the method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks include, but are not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc.

[0071] Referring to Figure 1 As shown, it is a schematic flowchart of a method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks provided by an embodiment of the present invention. In this embodiment, the method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks includes:

[0072] S1. Perform clustering statistics on the pre-constructed yak reproductive statistics data based on the yak growth and reproduction cycle to obtain a standard yak growth and reproduction cycle.

[0073] Among them, the yak reproductive statistics data refers to a set of management data for growing the same breed of yaks in different regions, including yak growth cycle data, such as the birth date, growth period, estrus period, gestation period, rest period, second estrus period, etc. of yaks, as well as yak growth environment data, such as altitude, temperature, grassland changes, etc., and yak health degree data, such as body shape, weight growth rate, rumination frequency, exercise amount, food intake, estrus cycle regularity, etc.

[0074] Among them, the clustering statistics based on the yak growth and reproduction cycle refers to: according to the clustering algorithm, extracting the yak growth and reproduction cycle with the best yak growth environment data and the highest yak health degree data in the yak reproductive statistics data.

[0075] Specifically, in the embodiment of the present invention, the performing clustering statistics on the pre-constructed yak reproductive statistics data based on the yak growth and reproduction cycle to obtain a standard yak growth and reproduction cycle includes:

[0076] Obtain yak reproductive statistics data, where the yak reproductive statistics data includes yak growth environment data, yak growth cycle data, and yak health degree data;

[0077] According to the yak health degree data, cluster the yak reproductive statistics data to obtain a set of health level data clusters, and screen the health level data cluster with the highest health level in the set of health level data clusters to obtain health-optimized statistics data;

[0078] Perform clustering operations on the statistically preferred health data based on the order of magnitude of the yak growth environment to obtain a set of growth environment order-of-magnitude data clusters. Then, screen the growth environment order-of-magnitude data cluster with the largest order of magnitude from the set of growth environment order-of-magnitude data clusters to obtain statistically preferred environmental data, and obtain the growth environment information corresponding to the statistically preferred environmental data to obtain the standard yak growth environment;

[0079] From the yak reproduction statistical data, obtain the data corresponding to the standard yak growth environment to obtain standard environmental statistical data. Arrange the yak health level data for each time period in the standard environmental statistical data to obtain yak growth time axis data;

[0080] Perform a two-dimensional mapping operation on the yak growth time axis data based on time-health level to obtain a time-health curve, and obtain the time information corresponding to the peak value in the time-health curve to obtain the standard yak growth and reproduction cycle.

[0081] Among them, the operation of clustering the yak reproduction statistical data according to the yak health level data refers to using the yak health level data as the label for each data in the yak reproduction statistical data, and through grouping at a higher level of the label, making each unique level of label represent a data cluster.

[0082] Among them, the set of health level data clusters is the result obtained by clustering using the health level as the label. Among them, the health label can be configured according to the data refinement degree and is related to the order of magnitude of the yak reproduction statistical data. The statistically preferred health data refers to the data cluster with the highest health level in the set of health level data clusters.

[0083] Among them, the clustering operation based on the order of magnitude of the yak growth environment refers to the operation of grouping data using the order of magnitude of each group of yak growth environments in the statistically preferred health data as the label. The set of growth environment order-of-magnitude data clusters refers to the result of grouping data using the order of magnitude of the yak growth environment as the label;

[0084] Among them, the statistically preferred environmental data is the data cluster with the largest order of magnitude in the set of growth environment order-of-magnitude data clusters.

[0085] Among them, the standard yak growth environment refers to the environmental information that is more suitable for yaks to grow naturally, including altitude (or air pressure), temperature, and food. The standard yak growth and reproduction cycle is the natural growth and reproduction cycle of yaks in the standard yak growth environment, including the growth period, estrus period, gestation period, and rest period.

[0086] Among them, the standard yak growth environment is an altitude condition of 3500 - 4500m, an average annual temperature of -2°C to 5°C, a temperature condition with a daily temperature difference of 15 - 20°C, a food condition of natural alpine meadows (60% Stipa capillata + 25% Kobresia myosuroides + 15% Carex spp.) + supplemented Hippophae rhamnoides branches and leaves (vitamin C content 200mg / 100g dry matter).

[0087] Among them, the said standard environmental statistical data refers to the data set corresponding to the standard yak growth environment in the yak reproduction statistical data.

[0088] Among them, the operation of arranging the yak health degree data for each time period in the standard environmental statistical data means first constructing a time axis, then quantifying the yak health degree data into a vector, and arranging the vector on the time axis according to the time information in the vector. The yak growth time axis data refers to the result after arranging all the yak health degree data for each time period.

[0089] Among them, the two-dimensional mapping refers to the operation of extracting and outputting the data in the two-dimensional space based on time-health from the multi-dimensional information space of time-vector. The time-health curve refers to the result of the two-dimensional mapping operation.

[0090] Among them, the peak value is the highest point of the curve.

[0091] Among them, the standard yak growth and reproduction cycle refers to the growth cycle in which yaks grow healthiest under the standard yak growth environment.

[0092] Specifically, in the embodiments of the present invention, the huge yak reproduction statistical data can be divided into three-dimensional data, and the relationship between the other two-dimensional data can be understood from the perspective of any dimension.

[0093] Specifically, the present invention first observes the yak reproduction statistical data from the perspective of the yak health degree data, obtains a set of health grade data clusters, and screens out the health-optimized statistical data. Then, it observes the health-optimized statistical data from the order of magnitude perspective of the yak growth environment, obtains a set of growth environment order of magnitude data clusters, and screens out the environment-optimized statistical data. By querying the growth environment information corresponding to the environment-optimized statistical data, the standard yak growth environment can be obtained.

[0094] Specifically, in the embodiments of the present invention, from the perspective of the standard yak growth environment, the yak breeding statistical data is observed to obtain standard environment statistical data, which is then transformed into the form of yak growth timeline data through the timeline. The yak growth timeline data is two-dimensional data of time-health level. With time as a variable, the yak health level data changes in real time, and thus the peak yak health level data can be found. Then, based on the yak health level data, the position on the timeline is found to obtain the standard yak growth and breeding cycle.

[0095] S2. According to the standard yak growth and breeding cycle, the target batch of yaks pre-constructed is monitored in real time for growth nodes to obtain the current growth node.

[0096] Among them, the target batch of yaks refers to the yaks born within the same time period.

[0097] Among them, the real-time monitoring of growth nodes refers to the process of predicting the growth nodes based on the records of herdsmen.

[0098] Among them, the current growth node is the prediction result of the predicted yak growth stage.

[0099] Specifically, in the embodiments of the present invention, the step of monitoring the target batch of yaks pre-constructed in real time for growth nodes according to the standard yak growth and breeding cycle to obtain the current growth node includes:

[0100] Obtaining the growth date of the target batch of yaks and the sequence of yak growth behavior states;

[0101] Marking the standard yak growth and breeding cycle according to the growth date to obtain the primary growth nodes;

[0102] Performing growth rate recognition based on a neural network on the growth date and the sequence of yak growth behavior states to obtain the yak growth rate, and calculating the ratio of the yak growth rate to the pre-constructed standard growth rate;

[0103] Performing weighted calculation on the primary growth nodes according to the ratio to obtain the current growth node.

[0104] Among them, the growth date refers to the time length from the birth of the yak to the present. Generally, the growth period of a yak is 26 months, and then there are records of subsequent estrus periods and gestation periods.

[0105] Among them, the sequence of yak growth behavior states includes changes in body size, changes in exercise amount, changes in hair quantity and hair color, etc.

[0106] Wherein, the marking refers to the operation of constructing a timeline based on the standard growth and reproduction cycle of yaks, and then marking the growth dates at the corresponding time positions on the timeline.

[0107] Wherein, the primary growth node refers to the result of inferring the growth stage of yaks only relying on the growth date and the standard growth and reproduction cycle of yaks.

[0108] Wherein, the growth rate identification based on neural network refers to the method of training a pre-constructed regression network model, and then enabling the regression network model to use the learned mapping relationship between behavior and growth rate to predict the growth rate.

[0109] Wherein, the growth rate of yaks is the output value of the regression network model.

[0110] Wherein, the standard growth rate can be obtained as the mean value from the yak reproduction statistical data under the standard yak growth environment and the standard yak growth and reproduction cycle.

[0111] Wherein, the ratio refers to the value with the standard growth rate as the denominator and the growth rate of yaks as the numerator.

[0112] Wherein, the weighted calculation refers to the operation of multiplying the ratio by the primary growth node, and is used to correct the primary growth node by the ratio.

[0113] Specifically, in the embodiment of the present invention, it is relatively easy to obtain the primary growth node according to the growth date marked in the standard growth and reproduction cycle of yaks, but the accuracy is relatively low. To identify the current node of yaks, it can also be obtained from the yak growth behavior state sequence. Through information such as the weight change and food intake change of yaks in the yak growth behavior state sequence, it can be judged whether the growth rate of yaks is normal, and the ratio with the standard growth rate can be obtained. Then, the initially obtained primary growth node is stretched or compressed according to the ratio to obtain the current growth node.

[0114] S3. Judge whether the current growth node is in a preset key node.

[0115] Wherein, the key nodes include the estrus start point, estrus end point, pregnancy start node and pregnancy end node.

[0116] In the embodiment of the present invention, the key nodes are constructed to manage and supervise yaks. For example, yaks with endocrine disorders can be induced to estrus with drugs according to the estrus start point, and the pregnancy probability can be increased through drugs or nutrition by knowing the estrus end point, etc.

[0117] When the current growth node is not in the key node, return to the step of S2 above and continuously monitor the current growth node

[0118] When the current growth node is at the key node, S4: Identify the node type of the key node, and use a pre-constructed environmental impact cycle table to query the impact cycle corresponding to the node type.

[0119] Among them, as can be seen from S3, the node types include types such as the estrus starting point, the estrus ending point, the pregnancy starting node, and the pregnancy ending node.

[0120] Among them, the environmental impact cycle table refers to a normative table of the corresponding cycles for different node types.

[0121] Specifically, in the embodiments of the present invention, for example, there is a 25-month growth period before the estrus starting point, which can be observed for a long time to judge whether the yak is underdeveloped. After the estrus starting point, there is a 25-day estrus period. By predicting the possible situations within 25 days, it can be predicted whether there are any changes during the impact cycle that affect the estrus period. Therefore, the estrus starting point may have an impact cycle of 25 days plus 25 months.

[0122] For another example, if the key node is the estrus ending point, there is a 25-day estrus period before the estrus ending point for reference to judge whether it affects pregnancy, and after the estrus ending point, the formation of the corpus luteum for ovulation is only about 2 - 10 days. Therefore, the estrus ending point only has an impact cycle of 25 days plus 10 days. It can be seen from this that different key nodes have different impact cycles.

[0123] Specifically, in the embodiments of the present invention, according to the experience of herdsmen and experts, the impact cycles of each node will be stored in the environmental impact cycle table for easy viewing.

[0124] S5: Obtain the target area where the target batch of yaks grow and the yak growth environment sequence, obtain the historical environmental change sequence of the target area, and according to the historical environmental change sequence, obtain the predicted growth environment sequence of the yak growth environment sequence. Intercept the growth environment sequence corresponding to the impact cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain the reference environment sequence.

[0125] Among them, the target area refers to the area where the target batch of yaks grow.

[0126] Among them, the yak growth environment sequence refers to the changes in altitude, temperature, and grassland conditions of the places where the yaks have lived from birth to now.

[0127] Among them, the historical environmental change sequence may be the record of environmental changes in the target area in the past 10 or 20 years.

[0128] Among them, the operation of obtaining the predicted growth environment sequence of the yak growth environment sequence according to the annual environmental change sequence refers to: calculating the function of past environmental changes based on a regression network, and then predicting the environmental changes within a certain period in the future through the function. Since the altitude change in the target area may not be significant, the changes in air pressure, temperature, and grassland conditions are directly measured as three parallel sequences in the annual environmental change sequence.

[0129] Among them, the predicted growth environment sequence refers to the growth environment information corresponding to the partial influence period after the key node.

[0130] Among them, the reference environment sequence refers to the growth environment information throughout the influence period.

[0131] Specifically, in the embodiment of the present invention, the operation of obtaining the predicted growth environment sequence of the yak growth environment sequence according to the annual environmental change sequence includes:

[0132] Construct an environmental change curve according to the annual environmental change sequence, and perform a smoothing operation on the environmental change curve to obtain a smoothed environmental change curve;

[0133] Perform regression analysis on the smoothed environmental change curve to obtain an environmental change function;

[0134] Use the environmental change function to obtain the predicted growth environment sequence according to the preset prediction time period.

[0135] Among them, the construction of the environmental change curve refers to the process of filling and connecting each point in the annual environmental change sequence data, and finally fitting three curves (one for air pressure, one for temperature, and one for food). The environmental change curve is the result of data fitting in the annual environmental change sequence.

[0136] Among them, the smoothing operation refers to the operation of smoothing the curve area where the fluctuation change rate of the environmental change curve is less than the preset fluctuation threshold through a filtering function. The smoothed environmental change curve is the result of the smoothing operation.

[0137] Among them, the regression analysis is the same as the regression network in S2 above, and both express the curve through a mathematical function, which is convenient for subsequent prediction calculations by changing the parameters in the function. The environmental change function is the result function of the regression analysis.

[0138] Among them, the prediction time period is related to the influence period behind the key node.

[0139] Among them, the predicted growth environment sequence refers to the function calculation result of substituting the prediction time period into the environmental change function.

[0140] Specifically, in the embodiments of the present invention, first, through curve construction, the annual environmental change sequence is transformed into an environmental change curve. Then, the Gaussian filtering algorithm is used to smooth and filter the environmental change curve to obtain a smoothed environmental change curve. Then, according to the regression analysis in the regression network in S2, the curve is transformed into a function to obtain an environmental change function. Then, the influence period after the key node is used as the preset time period and substituted into the environmental change function to obtain a predicted growth environment sequence.

[0141] Further, in the embodiments of the present invention, the yak growth environment sequence has been directly obtained, and the predicted growth environment sequence has also been obtained through the above steps. Then, the yak growth environment sequence and the predicted growth environment sequence can be spliced to obtain a growth environment sequence that meets the range of the influence period, and a reference environment sequence is obtained.

[0142] S6. According to the preset fuzzy judgment rule and the reference environment sequence, judge the growth state level of the target batch of yaks.

[0143] Among them, the fuzzy judgment rule refers to the rule of matching each value to each classification through a fuzzy algorithm and then calculating using the parameters corresponding to each classification.

[0144] Among them, the operation of judging the growth state level of the target batch of yaks refers to analyzing the growth state level by judging whether the yak nutrition is sufficient and whether the endocrine is disordered according to the fuzzy judgment rule and the reference environment sequence.

[0145] Among them, the growth state levels are divided into level A, level B, level C, and level D. Among them, level A represents the best state; level B represents sub-healthy and requires nutritional intervention; level C represents a high-risk state and requires drugs; while level D represents pathological and requires professional veterinary intervention.

[0146] Specifically, in the embodiments of the present invention, the judgment of the growth state level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environment sequence includes:

[0147] According to the definition of the preset membership function in the preset fuzzy judgment rule, each reference environment in the reference environment sequence is classified by level to obtain an environmental parameter level sequence;

[0148] According to the preset weight distribution table in the fuzzy judgment rule, a weighted average calculation is performed on the environmental parameter level sequence to obtain a growth state index;

[0149] According to the preset grading criteria in the fuzzy judgment rule, identify the level corresponding to the growth state index to obtain the growth state level, where the growth state level includes level A, level B, level C, and level D. Among them, level A belongs to the preset type without interference, and level B, level C, and level D belong to the preset type that requires interference.

[0150] Among them, the membership function is defined as a data allocation method. For example, taking temperature as an example, below -5°C, it completely belongs to the "low temperature" level. From -5 to 5°C, the membership degree decreases according to a linear function and when the temperature is greater than 5°C, it does not belong to the "low temperature" level.

[0151] Among them, the fuzzy judgment rule further includes a rule base, which is a preset evaluation criterion. For example, when the altitude exceeds 4500 meters, the blood oxygen level is lower than 85%, and the exercise amount is less than 100 steps per hour, the growth state of the yak is level C, that is, hypoxic stress; when the forage is less than 0.3 and the rumination frequency is less than 40 times per day, the state is level B, that is, malnutrition. The rule base and the definition of the membership function are used together for the design of the fuzzy rule engine.

[0152] Among them, the grade division refers to the process of executing the fuzzy rule engine.

[0153] Among them, the environmental parameter grade sequence is the result of executing the fuzzy rule engine.

[0154] Among them, the weight distribution table is pre-configured as blood oxygen (0.4), exercise amount (0.3), forage (0.2), temperature (0.1).

[0155] Among them, the weighted average calculation refers to the operation of calculating the growth state index using the weighted average method according to the principle of fuzzy comprehensive evaluation.

[0156] Among them, the grading criteria are pre-configured as [0.8, 1] for level A, [0.6, 0.8) for level B, [0.4, 0.6) for level C, and [0, 0.4) for level D.

[0157] Specifically, in the embodiment of the present invention, according to the definition of the membership function and the rule base in the fuzzy judgment rule, a fuzzy rule engine is constructed, and then the fuzzy engine is executed to obtain the environmental parameter grade sequence. Fuzzy comprehensive evaluation is performed through the pre-configured weight distribution table in the fuzzy judgment rule to obtain the growth state index, and then the preset grading criteria in the fuzzy judgment rule are queried to find the growth state level.

[0158] S7. Using the pre-constructed yak medication guidance manual, obtain the medication requirement sequence of the target batch of yaks according to the node type and the growth state level.

[0159] Among them, the yak medication guidance manual refers to the medication solution methods developed by researchers for common problems in the yak breeding process.

[0160] Among them, the medication demand sequence includes various types of medication demands, rather than specific herb names.

[0161] Specifically, in the embodiments of the present invention, obtaining the medication demand sequence of the target batch of yaks by using the pre-constructed yak medication guidance manual according to the node type and growth status level includes:

[0162] Using the pre-constructed yak medication guidance manual to judge the relationship between the node type and the growth status level;

[0163] If the node type is the preset estrus start node and the growth status level belongs to the type that needs to be interfered, configure the preset estrus induction compound according to the level of the type that needs to be interfered to obtain the medication demand sequence;

[0164] If the node type is the preset estrus end node and the growth status level belongs to the type that needs to be interfered, configure the preset pregnancy rate improvement compound according to the level of the type that needs to be interfered to obtain the medication demand sequence;

[0165] If the node type is the preset pregnancy start node and the growth status level belongs to the type that needs to be interfered, configure the preset nutrition improvement compound according to the level of the type that needs to be interfered to obtain the medication demand sequence;

[0166] If the node type is the preset pregnancy end node and the growth status level belongs to the type that needs to be interfered, configure the preset postpartum anti-inflammatory compound according to the level of the type that needs to be interfered to obtain the medication demand sequence.

[0167] Among them, the estrus induction compound refers to a prescription for regulating seasonal anestrus or postpartum estrus delay in female yaks, which includes nerve endocrine stimulating herbs, kidney-tonifying and yang-strengthening herbs, heat-clearing and detoxifying herbs, and herbs for accelerating the volatilization of medicine.

[0168] Among them, the pregnancy rate improvement compound refers to a prescription for solving low sperm motility in male yaks and habitual abortion in female yaks, which includes kidney-tonifying and essence-nourishing herbs, kidney-warming and sperm-fortifying herbs, sedative and fetus-protecting herbs, and herbs for regulating the properties of medicine.

[0169] Among them, the nutrition improvement compound is a prescription for restoring nutrition, which includes qi and blood tonifying herbs, blood circulation promoting and stasis removing herbs, herbs for relieving gastrointestinal irritation, and herbs for enhancing absorption.

[0170] Among them, the postpartum anti-inflammatory compound prescription is a prescription for postpartum recovery, which includes anti-inflammatory medicinal materials, medicinal materials for supplementing qi and blood, medicinal materials for regulating drug properties, and medicinal materials for directly reaching the focus.

[0171] Specifically, in the embodiments of the present invention, if the growth state levels include level B, level C, and level D, artificial intervention is required. In addition, due to different node types, different compound prescriptions are also needed, different types of medicinal materials are called, and a drug demand sequence is obtained. In the embodiments of the present invention, only four compound prescriptions corresponding to four key nodes are considered.

[0172] In addition, it should be noted that in real life, the number of key nodes is more, and there may be multiple problems in each key node, resulting in the need to use multiple compound prescriptions. Therefore, the present invention can add the number of key nodes according to the situation, and further optimize the method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks.

[0173] S8. Query the Tibetan medicinal materials of the Tibetan medicinal material types in the drug demand sequence from the pre-constructed Tibetan medicinal material resource database to obtain a collection of Tibetan medicinal material clusters, and perform the configuration of Tibetan medicinal materials based on the monarch, minister, assistant, and courier for the collection of Tibetan medicinal material clusters to obtain a Tibetan medicinal material configuration table that meets the target batch of yaks.

[0174] Among them, the Tibetan medicinal material resource database is a database specifically storing and indexing Tibetan medicinal materials, which can be accessed through the network.

[0175] Among them, the query process can be performed using a pre-constructed database tool. The collection of Tibetan medicinal material clusters is the query result of the Tibetan medicinal material resource database for the drug demand sequence.

[0176] Among them, the monarch, minister, assistant, and courier is a rule for drug proportion allocation. For example, the monarch drug: the core medicinal material for the main symptom (such as tonifying medicinal materials). The minister drug: enhancing the effect of the monarch drug or assisting in treating concurrent symptoms (such as blood-activating and stasis-removing medicinal materials). The assistant drug: regulating drug properties and reducing toxicity (such as licorice). The courier drug: guiding the medicinal effect directly to the focus (such as using wine or honey as a guide).

[0177] Among them, the configuration of Tibetan medicinal materials refers to the process of randomly configuring a prescription set that meets the compound prescription, and then screening the prescription set for prescriptions that meet conditions such as the lowest price and the most common.

[0178] Among them, the Tibetan medicinal material configuration table is the specific result of dispensing medicine. For example, the monarch drug is strychnine, the minister drug is epimedium, the assistant drug is black borneol, and the courier drug is highland barley wine.

[0179] Specifically, in the embodiments of the present invention, by connecting the Tibetan medicinal material resource database through a database script tool, the association between various medicinal herbs can be realized, so as to better realize the database indexing function and screen to obtain a collection of Tibetan medicinal material clusters.

[0180] Specifically, in the embodiments of the present invention, the process of performing the Tibetan medicine configuration based on the monarch, minister, assistant, and envoy on the Tibetan medicine cluster set to obtain the Tibetan medicine configuration table for the target batch of yaks includes:

[0181] Identifying the compound type corresponding to the medication requirement sequence;

[0182] According to the compound type, performing the classification operation based on the monarch, minister, assistant, and envoy on each Tibetan medicine cluster in the Tibetan medicine cluster set to obtain the sub-cluster set of each Tibetan medicine cluster;

[0183] Using the sub-cluster sets of each Tibetan medicine cluster to construct a hierarchical topology graph of the monarch, minister, assistant, and envoy. Among them, one Tibetan medicine can be selected from each layer in the hierarchical topology graph of the monarch, minister, assistant, and envoy, and the Tibetan medicines in the same layer can be replaced with each other;

[0184] Performing random configuration on the hierarchical topology graph of the monarch, minister, assistant, and envoy to obtain a set of random configuration tables of medicinal materials that meet the medication requirement sequence, and screening the random configuration table of medicinal materials with the lowest total drug price in the set of random configuration tables of medicinal materials according to the pre-constructed medicinal material price information to obtain the Tibetan medicine configuration table for the target batch of yaks.

[0185] Among them, the compound type refers to the names of various compounds such as the compound for improving nutrition and the compound for postpartum anti-inflammatory.

[0186] Among them, the classification refers to the operation of classifying various medicines of the monarch, minister, assistant, and envoy in the compound.

[0187] Among them, the sub-cluster set of each Tibetan medicine cluster is the result of the classification process, and each Tibetan medicine cluster is evenly divided into four sub-clusters: the monarch, the minister, the assistant, and the envoy.

[0188] Among them, constructing the hierarchical topology graph of the monarch, minister, assistant, and envoy means dividing the monarch, minister, assistant, and envoy into four layers from high to low, connecting each other between the same layers, and also marking and connecting the medicinal materials with conflicts between the superior and the subordinate. The hierarchical topology graph of the monarch, minister, assistant, and envoy is a connected medicinal material network. Among them, the medicinal materials in the same layer can be replaced with each other in the case of no conflict between the superior and the subordinate.

[0189] Among them, the random configuration refers to the process of traversing each Tibetan medicine in the hierarchical topology graph of the monarch, minister, assistant, and envoy according to random rules to form prescriptions with different medicinal materials but similar effects.

[0190] Among them, the medicinal material price information includes the price information of each medicinal material in the local area.

[0191] Among them, the process of screening the random configuration table of medicinal materials with the lowest total drug price in the set of random configuration tables of medicinal materials is completed through scripts or database tools.

[0192] Specifically, in the embodiments of the present invention, since the medicinal effects of the herbs in a Tibetan medicine cluster are similar, but their medicinal properties are different, some herbs can be used as the monarch drug, some can be used as the minister drug, and some can be used as multiple drugs. Therefore, the present invention first classifies each Tibetan medicine cluster in the set of Tibetan medicine clusters based on the monarch, minister, assistant, and courier, and obtains a sub-cluster set for each Tibetan medicine cluster.

[0193] Then, through hierarchical arrangement from top to bottom according to the monarch, minister, assistant, and courier, a hierarchical topology diagram of the monarch, minister, assistant, and courier is obtained. Then, through an automatic pathfinding algorithm, a random configuration table of herbs that meets the sequence of medication requirements is randomly generated to obtain a set of random configuration tables of herbs. Finally, screening is performed based on conditions such as the market and local commonness to obtain a configuration table of Tibetan medicine that meets the target batch of yaks.

[0194] Specifically, in the embodiments of the present invention, after obtaining the configuration table of Tibetan medicine that meets the target batch of yaks, the method further includes:

[0195] Extracting a target yak from the target batch of yaks and obtaining the individual difference ratio between the target yak and the target batch of yaks;

[0196] According to the individual difference ratio, weighted calculation is performed on the dosages in the Tibetan medicine configuration table to obtain the Tibetan medicine configuration table corresponding to the target yak.

[0197] Wherein, the target yak is an individual.

[0198] Wherein, the individual difference ratio refers to the result of comparing the average body value of the target batch of yaks with the body value of an individual yak.

[0199] Wherein, the dosage in the Tibetan medicine configuration table is the drug component obtained by a pre-trained medical system evaluating each herb in the prescription.

[0200] Specifically, in the embodiments of the present invention, due to the differences between individuals, the same drug has different effects. In this example of the present invention, the dosage of the drug is finely adjusted according to the individual difference ratio in terms of volume and mass to obtain the Tibetan medicine configuration table corresponding to the target yak.

[0201] To solve the problems described in the background art, the present invention first identifies the growth state of yaks to obtain the current growth node of the yaks. Then, by obtaining the environmental changes of the yaks in a previous period and a future period, the goal of managing yaks can be understood through the node, and the interference of the environment on the goal can be viewed through the environmental changes. Thus, the growth state level of the yaks can be judged, and it can be known whether human interference is needed according to the growth state level, such as adding nutrition or medicine. The present invention can obtain a drug demand sequence according to the growth state level to better manage the health of yaks, and the rationality of the configuration of Tibetan medicinal materials can be improved through the subsequent query and configuration of Tibetan medicinal materials. Therefore, the present invention can improve the accuracy of the use of Tibetan medicinal materials in the growth cycle management of yaks.

[0202] As Figure 2 shown, it is a functional module diagram of a Tibetan medicinal material configuration system based on the reproductive characteristics of yaks provided by an embodiment of the present invention.

[0203] The Tibetan medicinal material configuration system 100 based on the reproductive characteristics of yaks of the present invention can be installed in an electronic device. According to the functions achieved, the Tibetan medicinal material configuration system 100 based on the reproductive characteristics of yaks can include a yak key node identification module 101, a reference environment acquisition module 102, a yak drug demand identification module 103, and a Tibetan medicinal material configuration module 104. The modules of the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0204] The yak key node identification module 101 is used to perform clustering statistics on the pre-constructed yak reproduction statistical data based on the yak growth and reproduction cycle to obtain a standard yak growth and reproduction cycle, and to perform real-time monitoring of the growth nodes of the pre-constructed target batch of yaks according to the standard yak growth and reproduction cycle to obtain the current growth node, and to judge whether the current growth node is in a preset key node;

[0205] The reference environment acquisition module 102 is used to, when the current growth node is in the key node, identify the node type of the key node, query the influence cycle corresponding to the node type by using the pre-constructed environmental influence cycle table, and obtain the target area where the target batch of yaks grows and the yak growth environment sequence, obtain the historical environmental change sequence of the target area, and obtain the predicted growth environment sequence of the yak growth environment sequence according to the historical environmental change sequence, and intercept the growth environment sequence corresponding to the influence cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain a reference environment sequence;

[0206] The yak drug demand recognition module 103 is used to determine the growth status level of the target batch of yaks according to the preset fuzzy judgment rules and the reference environment sequence, and use the pre-constructed yak medication guidance manual to obtain the medication demand sequence of the target batch of yaks according to the node type and growth status level;

[0207] The Tibetan medicinal material configuration module 104 is used to query the Tibetan medicinal materials of the Tibetan medicinal material types in the medication demand sequence from the pre-constructed Tibetan medicinal material resource database to obtain a collection of Tibetan medicinal material clusters, and perform the configuration of Tibetan medicinal materials based on the monarch, minister, assistant, and guide for the collection of Tibetan medicinal material clusters to obtain a Tibetan medicinal material configuration table that meets the target batch of yaks.

[0208] Specifically, in the embodiment of the present invention, the clustering statistics of the pre-constructed yak reproduction statistics data based on the yak growth and reproduction cycle includes:

[0209] Obtain yak reproduction statistics data, where the yak reproduction statistics data includes yak growth environment data, yak growth cycle data, and yak health degree data;

[0210] According to the yak health degree data, cluster the yak reproduction statistics data to obtain a collection of health level data clusters, and screen the health level data cluster with the highest health level in the collection of health level data clusters to obtain health-optimized statistics data;

[0211] Perform a clustering operation on the health-optimized statistics data based on the order of magnitude of the yak growth environment to obtain a collection of growth environment order of magnitude data clusters, and screen the growth environment order of magnitude data cluster with the largest order of magnitude from the collection of growth environment order of magnitude data clusters to obtain environment-optimized statistics data, and obtain the growth environment information corresponding to the environment-optimized statistics data to obtain the standard yak growth environment;

[0212] From the yak reproduction statistics data, obtain the data corresponding to the standard yak growth environment to obtain standard environment statistics data, and arrange the yak health degree data for each time period in the standard environment statistics data to obtain yak growth time axis data;

[0213] Perform a two-dimensional mapping operation on the yak growth time axis data based on time-health degree to obtain a time-health curve, and obtain the time information corresponding to the peak value in the time-health curve to obtain the standard yak growth and reproduction cycle.

[0214] Specifically, each module in the Tibetan medicinal material configuration system 100 based on the yak reproduction characteristics in the embodiment of the present invention is used in the same way as the above Figure 1The technical means are the same as those of the Tibetan medicine configuration method based on the breeding characteristics of yaks described in [reference], and can produce the same technical effects, which will not be elaborated here.

[0215] As Figure 3 shown, it is a schematic structural diagram of an electronic device for implementing the Tibetan medicine configuration method based on the breeding characteristics of yaks provided by an embodiment of the present invention.

[0216] The electronic device 1 may include a processor 10, a memory 11, and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for the Tibetan medicine configuration method based on the breeding characteristics of yaks.

[0217] Among them, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as the mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 1. Further, the memory 11 also includes the internal storage unit of the electronic device 1 and the external storage device. The memory 11 can be used not only to store application software installed in the electronic device 1 and various types of data, such as the code of the program for the Tibetan medicine configuration method based on the breeding characteristics of yaks, but also to temporarily store data that has been output or will be output.

[0218] In some embodiments, the processor 10 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and circuits, and by running or executing programs or modules stored in the memory 11 (such as the program for the Tibetan medicine configuration method based on the breeding characteristics of yaks, etc.), and calling data stored in the memory 11, to perform various functions of the electronic device 1 and process data.

[0219] The bus 12 can be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to implement the connection and communication between the memory 11 and at least one processor 10, etc.

[0220] Figure 3 Only an electronic device with components is shown. Those skilled in the art can understand that Figure 3 the shown structure does not constitute a limitation on the electronic device 1, and it may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0221] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for powering each component. Preferably, the power source can be logically connected to the at least one processor 10 through a power management device, so as to implement functions such as charge management, discharge management, and power consumption management through the power management device. The power source may also include any components such as one or more DC or AC power sources, a recharge device, a power failure detection circuit, a power converter or inverter, a power status indicator, etc. The electronic device 1 may also include various sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be elaborated here.

[0222] Furthermore, the electronic device 1 may further include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0223] Optionally, the electronic device 1 may further include a user interface. The user interface may be a display, an input unit (such as a keyboard), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display the information processed in the electronic device 1 and to display a visual user interface.

[0224] The program of the method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve the following:

[0225] Perform clustering statistics on the pre-constructed yak reproduction statistical data based on the yak growth and reproduction cycle to obtain the standard yak growth and reproduction cycle;

[0226] According to the standard yak growth and reproduction cycle, perform real-time monitoring on the growth nodes of the pre-constructed target batch of yaks to obtain the current growth node;

[0227] Judge whether the current growth node is in a preset key node;

[0228] When the current growth node is in the key node, identify the node type of the key node, and use the pre-constructed environmental impact cycle table to query the impact cycle corresponding to the node type;

[0229] Obtain the target area where the target batch of yaks grows and the yak growth environment sequence, obtain the historical environmental change sequence of the target area, and according to the historical environmental change sequence, obtain the predicted growth environment sequence of the yak growth environment sequence. Intercept the growth environment sequence corresponding to the impact cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain the reference environment sequence;

[0230] Judge the growth status level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environment sequence;

[0231] Use the pre-constructed yak medication guidance manual to obtain the medication demand sequence of the target batch of yaks according to the node type and the growth status level;

[0232] Query the Tibetan medicinal materials of the Tibetan medicinal material types in the medication demand sequence from the pre-constructed Tibetan medicinal material resource database to obtain a collection of Tibetan medicinal material clusters, and perform the configuration of Tibetan medicinal materials based on the monarch, minister, assistant, and envoy on the collection of Tibetan medicinal material clusters to obtain a Tibetan medicinal material configuration table that meets the target batch of yaks.

[0233] Specifically, the specific implementation method of the above instructions by the processor 10 can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiment, which will not be elaborated here.

[0234] Furthermore, if the modules / units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory).

[0235] The present invention also provides a computer-readable storage medium, and the readable storage medium stores a computer program. When the computer program is executed by a processor of an electronic device, it can implement:

[0236] Performing clustering statistics on pre-built yak breeding statistical data based on the yak growth and breeding cycle to obtain a standard yak growth and breeding cycle;

[0237] According to the standard yak growth and breeding cycle, performing real-time monitoring on the growth nodes of the pre-built target batch of yaks to obtain the current growth node;

[0238] Judging whether the current growth node is in a preset key node;

[0239] When the current growth node is in the key node, identifying the node type of the key node, and using a pre-built environmental impact cycle table to query the impact cycle corresponding to the node type;

[0240] Obtaining the target area where the target batch of yaks grows and the yak growth environment sequence, obtaining the historical environmental change sequence of the target area, and according to the historical environmental change sequence, obtaining the predicted growth environment sequence of the yak growth environment sequence, and intercepting the growth environment sequence corresponding to the impact cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain a reference environment sequence;

[0241] Judging the growth status level of the target batch of yaks according to a preset fuzzy judgment rule and the reference environment sequence;

[0242] Using a pre-built yak medication guidance manual, obtaining the medication requirement sequence of the target batch of yaks according to the node type and the growth status level;

[0243] Querying the traditional Tibetan medicinal materials of the traditional Tibetan medicinal material types in the medication requirement sequence from a pre-built traditional Tibetan medicinal material resource database to obtain a traditional Tibetan medicinal material cluster set, and performing traditional Tibetan medicinal material configuration based on the monarch, minister, assistant, and guide on the traditional Tibetan medicinal material cluster set to obtain a traditional Tibetan medicinal material configuration table that meets the target batch of yaks.

[0244] In several embodiments provided by the present invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and there may be other partitioning methods in actual implementation.

[0245] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0246] In addition, the functional modules in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a combination of hardware and software functional modules.

[0247] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0248] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for preparing Tibetan medicinal materials based on the reproductive characteristics of yaks, characterized in that, The method includes: Performing clustering statistics on pre-constructed yak breeding statistics data based on the yak growth and breeding cycle to obtain the standard yak growth and breeding cycle; According to the standard yak growth and breeding cycle, performing real-time monitoring on the growth nodes of the pre-constructed target batch of yaks to obtain the current growth node; Judging whether the current growth node is in a preset key node; When the current growth node is in the key node, identifying the node type of the key node and using the pre-constructed environmental impact cycle table to query the impact cycle corresponding to the node type; Obtaining the target area where the target batch of yaks grows and the yak growth environment sequence, obtaining the historical environmental change sequence of the target area, and according to the historical environmental change sequence, obtaining the predicted growth environment sequence of the yak growth environment sequence, and intercepting the growth environment sequence corresponding to the impact cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain the reference environmental sequence; Judging the growth status level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environmental sequence; Using the pre-constructed yak medication guidance manual, obtaining the medication demand sequence of the target batch of yaks according to the node type and the growth status level; Querying the traditional Tibetan medicine of the traditional Tibetan medicine type in the medication demand sequence from the pre-constructed traditional Tibetan medicine resource database to obtain a set of traditional Tibetan medicine clusters, and performing the configuration of traditional Tibetan medicine based on the monarch, minister, assistant, and guide on the set of traditional Tibetan medicine clusters to obtain the traditional Tibetan medicine configuration table that meets the target batch of yaks.

2. The method for configuring Tibetan medicinal materials based on the breeding characteristics of yaks according to claim 1, characterized in that, The performing clustering statistics on pre-constructed yak breeding statistics data based on the yak growth and breeding cycle to obtain the standard yak growth and breeding cycle includes: Obtaining yak breeding statistics data, where the yak breeding statistics data includes yak growth environment data, yak growth cycle data, and yak health degree data; According to the yak health degree data, clustering the yak breeding statistics data to obtain a set of health level data clusters, and screening the health level data cluster with the highest health level in the set of health level data clusters to obtain the health-optimized statistics data; Performing a clustering operation on the health-optimized statistics data based on the order of magnitude of the yak growth environment to obtain a set of growth environment order of magnitude data clusters, and screening the growth environment order of magnitude data cluster with the largest order of magnitude from the set of growth environment order of magnitude data clusters to obtain the environment-optimized statistics data, and obtaining the growth environment information corresponding to the environment-optimized statistics data to obtain the standard yak growth environment; Obtaining the data corresponding to the standard yak growth environment from the yak breeding statistics data, obtaining the standard environment statistics data, and arranging the yak health degree data for each time period in the standard environment statistics data to obtain the yak growth time axis data; Performing a two-dimensional mapping operation on the yak growth time axis data based on time-health degree to obtain a time-health curve, and obtaining the time information corresponding to the peak value in the time-health curve to obtain the standard yak growth and breeding cycle.

3. The method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks according to claim 2, characterized in that, Performing real-time monitoring on the growth nodes of the pre-constructed target batch of yaks according to the standard growth and reproduction cycle of yaks to obtain the current growth node, including: Obtaining the growth dates of the target batch of yaks and the sequence of yak growth behavior states; Marking the standard growth and reproduction cycle of yaks according to the growth dates to obtain the primary growth nodes; Performing growth rate recognition based on a neural network on the growth dates and the sequence of yak growth behavior states to obtain the growth rate of yaks, and calculating the ratio of the growth rate of yaks to the pre-constructed standard growth rate; Performing weighted calculation on the primary growth nodes according to the ratio to obtain the current growth node.

4. The method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks according to claim 3, characterized in that, Obtaining the predicted growth environment sequence of the yak growth environment sequence according to the historical environmental change sequence, including: Constructing an environmental change curve according to the historical environmental change sequence, and performing a smoothing operation on the environmental change curve to obtain a smoothed environmental change curve; Performing regression analysis on the smoothed environmental change curve to obtain an environmental change function; Using the environmental change function to obtain the predicted growth environment sequence according to the preset prediction time period.

5. The method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks according to claim 4, characterized in that, Judging the growth state level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environment sequence, including: Performing grade division on each reference environment in the reference environment sequence according to the definition of the preset membership function in the preset fuzzy judgment rule to obtain an environmental parameter grade sequence; Performing weighted average calculation on the environmental parameter grade sequence according to the preset weight distribution table in the fuzzy judgment rule to obtain a growth state index; Identifying the grade corresponding to the growth state index according to the preset grading standard in the fuzzy judgment rule to obtain the growth state level, where the growth state level includes level A, level B, level C, and level D, and level A belongs to the preset type without interference, and level B, level C, and level D belong to the preset type requiring interference.

6. The method for configuring Tibetan medicinal materials based on the reproductive characteristics of yaks according to claim 5, wherein, Obtaining the medication requirement sequence of the target batch of yaks according to the node type and the growth state level by using the pre-constructed yak medication guidance manual, including: Using the pre-constructed yak medication guidance manual to judge the relationship between the node type and the growth state level; If the node type is the preset estrus start node and the growth state level belongs to the type requiring interference, then configuring the preset estrus induction compound according to the level of the type requiring interference to obtain the medication requirement sequence; If the node type is the preset estrus termination node and the growth state level belongs to the type requiring interference, then configuring the preset conception rate improvement compound according to the level of the type requiring interference to obtain the medication requirement sequence; If the node type is the preset pregnancy start node and the growth state level belongs to the type requiring interference, then configuring the preset nutrition improvement compound according to the level of the type requiring interference to obtain the medication requirement sequence; If the node type is a preset pregnancy termination node and the growth status level belongs to the type that needs to be interfered, configure the preset postpartum anti-inflammatory compound according to the level of the type that needs to be interfered to obtain a medication requirement sequence.

7. The method for configuring Tibetan medicinal materials based on the breeding characteristics of yaks according to claim 6, characterized in that, The Tibetan medicine configuration based on the monarch, minister, assistant, and guide for the Tibetan medicine cluster set to obtain a Tibetan medicine configuration table that meets the target batch of yaks includes: Identify the compound type corresponding to the medication requirement sequence; According to the compound type, perform a classification operation based on the monarch, minister, assistant, and guide for each Tibetan medicine cluster in the Tibetan medicine cluster set to obtain a sub-cluster set for each Tibetan medicine cluster; Use the sub-cluster sets of each Tibetan medicine cluster to construct a hierarchical topology graph of the monarch, minister, assistant, and guide. Among them, one Tibetan medicine can be selected for each layer in the hierarchical topology graph of the monarch, minister, assistant, and guide, and the Tibetan medicines in the same layer can be replaced; Randomly configure the hierarchical topology graph of the monarch, minister, assistant, and guide to obtain a set of randomly configured medicine tables that meet the medication requirement sequence, and screen the randomly configured medicine table with the lowest total drug price in the set of randomly configured medicine tables according to the pre-constructed medicine price information to obtain a Tibetan medicine configuration table that meets the target batch of yaks.

8. The Tibetan medicine configuration method based on the breeding characteristics of yaks according to claim 7, characterized in that, After obtaining the Tibetan medicine configuration table that meets the target batch of yaks, the method further includes: Extract the target yak from the target batch of yaks and obtain the individual difference ratio between the target yak and the target batch of yaks; According to the individual difference ratio, perform a weighted calculation on the amount of medicine in the Tibetan medicine configuration table to obtain a Tibetan medicine configuration table corresponding to the target yak.

9. A Tibetan medicine configuration system based on the reproductive characteristics of yaks, characterized in that, The system includes: A yak key node identification module for performing clustering statistics on the pre-constructed yak breeding statistical data based on the yak growth and breeding cycle to obtain a standard yak growth and breeding cycle, and performing real-time monitoring of the growth nodes of the pre-constructed target batch of yaks according to the standard yak growth and breeding cycle to obtain the current growth node, and determining whether the current growth node is in a preset key node; A reference environment acquisition module for, when the current growth node is in the key node, identifying the node type of the key node, querying the influence cycle corresponding to the node type using the pre-constructed environmental influence cycle table, and obtaining the target area where the target batch of yaks grows and the yak growth environment sequence, obtaining the historical environmental change sequence of the target area, and obtaining the predicted growth environment sequence of the yak growth environment sequence according to the historical environmental change sequence, and intercepting the growth environment sequence corresponding to the influence cycle from the yak growth environment sequence and the predicted growth environment sequence to obtain a reference environment sequence; A yak drug requirement identification module for judging the growth status level of the target batch of yaks according to the preset fuzzy judgment rule and the reference environment sequence, and obtaining the medication requirement sequence of the target batch of yaks according to the node type and the growth status level using the pre-constructed yak medication guidance manual. The Tibetan medicinal material configuration module is used to query the Tibetan medicinal materials of the Tibetan medicinal material types in the medication requirement sequence from a pre-built Tibetan medicinal material resource database, obtain a set of Tibetan medicinal material clusters, and perform the configuration of Tibetan medicinal materials based on the monarch, minister, assistant, and guide principles on the set of Tibetan medicinal material clusters to obtain a Tibetan medicinal material configuration table that meets the target batch of yaks.

10. The Tibetan medicinal material configuration system based on the breeding characteristics of yaks as claimed in claim 9, wherein, The clustering statistics of the pre-built yak breeding statistics data based on the yak growth and reproduction cycle to obtain the standard yak growth and reproduction cycle includes: Obtain yak breeding statistics data, where the yak breeding statistics data includes yak growth environment data, yak growth cycle data, and yak health level data; According to the yak health level data, cluster the yak breeding statistics data to obtain a set of health level data clusters, and screen the health level data cluster with the highest health level in the set of health level data clusters to obtain health-optimized statistics data; Perform a clustering operation on the health-optimized statistics data based on the order of magnitude of the yak growth environment to obtain a set of growth environment order of magnitude data clusters, and screen the growth environment order of magnitude data cluster with the largest order of magnitude from the set of growth environment order of magnitude data clusters to obtain environment-optimized statistics data, and obtain the growth environment information corresponding to the environment-optimized statistics data to obtain the standard yak growth environment; From the yak breeding statistics data, obtain the data corresponding to the standard yak growth environment to obtain standard environment statistics data, and arrange the yak health level data for each time period in the standard environment statistics data to obtain yak growth time axis data; Perform a two-dimensional mapping operation on the yak growth time axis data based on time-health level to obtain a time-health curve, and obtain the time information corresponding to the peak value in the time-health curve to obtain the standard yak growth and reproduction cycle.

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