A timed and quantitative control method and device for automatic water supply equipment for experimental animals

Abstract

The present invention provides a timed and quantitative control method and device for an automatic water supply device for experimental animals, which relates to the technical field of intelligent control of equipment. According to the drinking water demand of the target animal, the automatic water supply mode is determined, and the Markov state chain is mined to construct a regulation branch. The state perception signal is determined by a front-end sensor and transmitted back to the intelligent control module to control and manage the automatic water supply device. The technical problem that it is difficult to achieve timed and quantitative management of animal drinking water and reasonable water supply regulation through intelligent control in actual scenarios in the prior art is solved. By dynamically adjusting the automatic water supply mode and introducing the Markov state chain and relaxation mechanism, accurate, flexible and intelligent water supply control is achieved, which effectively improves the adaptability, stability and accuracy of the system, reduces human intervention, and optimizes animal drinking water management.

Description

Technical Field

[0001] The invention relates to the technical field of equipment intelligent control, and in particular to a timing and quantitative control method and device for automatic water supply equipment for experimental animals. Background Art

[0002] With the widespread application of experimental animal models in biomedicine, drug research and other fields, animal breeding and management are gradually developing towards intelligence and automation. Traditional artificial water supply methods have many limitations, such as the difficulty in accurately controlling the water supply, the inflexible adjustment of the water drinking cycle and water drinking amount, and the inability to respond to the dynamic needs of animals in real time, which can easily lead to water pollution or insufficient drinking water.

[0003] Therefore, developing an intelligent automatic water supply device that can adjust the water supply in real time according to the individual needs and activity status of animals has become an urgent need in the research and application fields. Although there are some automatic water supply systems in the prior art, most of them are based on simple timing control or weight sensing, lack the ability to adjust the water supply according to the changes in animal behavior and real-time status, and fail to make full use of advanced algorithm models for precise control.

[0004] Therefore, how to achieve timely and quantitative management of animal drinking water and reasonable water supply regulation through intelligent control in actual scenarios is still a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present application provides a method and device for timing and quantitative control of automatic water supply equipment for experimental animals, which is used to solve the technical problem in the prior art that it is difficult to achieve timing and quantitative management of animal drinking water and reasonable water supply regulation through intelligent control in actual scenarios.

[0006] In view of the above problems, the present application provides a method and device for timing and quantitative control of an automatic water supply device for experimental animals.

[0007] In a first aspect, the present application provides a method for timing and quantitative control of an automatic water supply device for experimental animals, the method comprising:

[0008] According to the drinking water demand of the target animal, determine the automatic water supply mode and program the intelligent control module, wherein the automatic water supply mode is determined based on time and weight fitting;

[0009] Based on the automatic water supply mode, a Markov state chain is mined to construct a regulation branch, wherein the Markov state chain includes a first state chain with a surplus as a state variable and a second state chain with an animal activity as a state variable, and the first state chain is determined based on a water supply cycle;

[0010] Through the front-end sensor, real-time sensor monitoring is carried out to determine the state perception signal, which is transmitted back to the intelligent control module. The automatic water supply mode is used as the control main line, and the adjustment branch is used to perform control adjustment under state compensation to control and manage the automatic water supply equipment.

[0011] In a second aspect, the present application provides a timing and quantitative control device for an automatic water supply device for experimental animals, the device comprising:

[0012] A setting unit, the setting unit is used to determine the automatic water supply mode and program the intelligent control module according to the drinking water demand of the target animal, wherein the automatic water supply mode is determined based on time and weight fitting;

[0013] A construction unit, the construction unit is used to mine a Markov state chain based on the automatic water supply mode and construct a regulation branch, wherein the Markov state chain includes a first state chain with a surplus as a state variable and a second state chain with an animal activity as a state variable, and the first state chain is determined based on a water supply cycle;

[0014] A control unit is used to perform real-time sensing monitoring through a front-end sensor to determine the state perception signal, and transmit it back to the intelligent control module. The automatic water supply mode is used as the main control line, and the adjustment branch is used to perform control adjustment under state compensation to control and manage the automatic water supply equipment.

[0015] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0016] The embodiment of the present application provides a timed and quantitative control method for an automatic water supply device for experimental animals. According to the drinking water demand of the target animal, the automatic water supply mode is determined and the intelligent control module is programmed. Based on the automatic water supply mode, the Markov state chain is mined and an adjustment branch is constructed, which includes a first state chain with a surplus as a state variable and a second state chain with animal activity as a state variable. The state perception signal is determined by real-time sensing monitoring through a front-end sensor and transmitted back to the intelligent control module. The automatic water supply mode is used as the control main line, and the adjustment branch is used to perform control and adjustment under state compensation to control and manage the automatic water supply device. The technical problem that it is difficult to achieve timed and quantitative management of animal drinking water and reasonable water supply regulation through intelligent control in actual scenarios in the prior art is solved. By dynamically adjusting the automatic water supply mode, introducing the Markov state chain and the relaxation mechanism, accurate, flexible and intelligent water supply control is achieved, which effectively improves the adaptability, stability and accuracy of the system, reduces human intervention, and optimizes animal drinking water management. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1This application provides a flow chart of a timing and quantitative control method for an automatic water supply device for experimental animals;

[0018] Figure 2 The present application provides a schematic structural diagram of a timing and quantitative control device for an automatic water supply device for experimental animals.

[0019] Description of reference numerals: setting unit 11 , construction unit 12 , control unit 13 . DETAILED DESCRIPTION

[0020] The present application provides a method and device for timing and quantitative control of automatic water supply equipment for experimental animals. According to the drinking water needs of the target animals, the automatic water supply mode is determined, and the Markov state chain is mined to construct a regulation branch. The state perception signal is determined by the front-end sensor and transmitted back to the intelligent control module to control and manage the automatic water supply equipment. The application is used to solve the technical problem in the prior art that it is difficult to achieve timing and quantitative management of animal drinking water and reasonable water supply regulation through intelligent control in actual scenarios.

[0021] Embodiment 1: Figure 1 As shown, the present application provides a method for timing and quantitative control of an automatic water supply device for experimental animals, the method comprising:

[0022] S1: According to the drinking water demand of the target animal, determine the automatic water supply mode and program the intelligent control module, wherein the automatic water supply mode is determined based on time and weight fitting;

[0023] In the embodiments of the present application, the drinking water demand of the target animal is determined by the amount of water required based on factors such as its weight, activity level, and health status in a specific experimental or living environment.

[0024] The automatic water supply mode in this application is a standard for automatic water supply control set according to the drinking water demand under the control mechanism of the automatic water supply equipment, for example, variables such as the time, amount and frequency of water supply. Based on the above set standards, the equipment performs timed and quantitative automatic water supply control under fixed standards. The automatic water supply mode can be adjusted according to different animal species, environmental conditions and experimental requirements.

[0025] For example, when determining the water supply mode, a water supply schedule is first set based on the weight, activity level, age and other characteristics of the target animal through statistical methods, such as fitting analysis. Time fitting refers to adjusting the water supply according to different time periods of the day, such as morning, noon and evening, to match the animal's biological clock and activity pattern; weight fitting determines the appropriate amount of water to drink based on the animal's weight changes. For example, for heavier animals, the system will preset a higher water demand.

[0026] Furthermore, the control of the automatic water supply equipment is driven by a control program, that is, the automatic water supply mode is input into the intelligent control module by programming, so that the system can be automatically executed without human intervention. For example, it can be set to release a certain amount of water at a specific time every hour, or dynamically adjust the water supply according to the change of animal weight. Accurate management of the drinking water needs of target animals is achieved, and the automation, stability and efficiency of the water supply process are ensured.

[0027] S2: Based on the automatic water supply mode, mining a Markov state chain and constructing a regulation branch, wherein the Markov state chain includes a first state chain with the surplus as a state variable and a second state chain with the animal activity as a state variable, and the first state chain is determined based on the water supply cycle;

[0028] Water supply control is performed only according to the above-mentioned automatic water supply mode, that is, the intelligent control module will perform water supply operations according to the set rules. The scene adaptability is insufficient and it is impossible to adaptively regulate the water supply according to the actual situation. In the embodiment of the present application, the Markov state chain is used to mine and construct adjustment branches to optimize the water supply control.

[0029] Specifically, the Markov state chain is used to describe the state transfer process in the system, that is, the transfer of the current state is only related to the previous state. The purpose of mining the Markov state chain is to build a model that can describe the change of water supply state by analyzing the drinking behavior of animals and environmental changes. Specifically, the Markov state chain is used to model two types of state variables: surplus (i.e., remaining water) and animal activity.

[0030] In the embodiment of the present application, the residual amount refers to the state of the remaining water in the automatic water supply device. By monitoring the remaining amount of the water source, it can be determined whether the water source needs to be replenished or whether the water supply has been excessive.

[0031] The first state chain is constructed based on the water supply cycle, which refers to the time interval from one water supply to the next. For example, after each water supply, the system will monitor the water consumption and update the water balance status based on the set time period. Among them, the water supply cycle is a time span set according to factors such as the animal's drinking water needs and activity level. For example, if the system supplies water once an hour, the water supply cycle is one hour; and the amount of water supplied each time is adjusted according to the water consumption. The state node is a plurality of refined granularity time nodes within the water supply cycle, and each state node represents the water balance at a certain moment.

[0032] Animal activity refers to the level of activity of an animal over a period of time (e.g., exercise, rest, etc.), which has a direct impact on water intake. For example, an animal may need more water when it is active (running, active), but less when it is stationary (resting, sleeping).

[0033] The second state chain reflects the impact of animal activity on water supply. In this chain, the system adjusts the water supply according to the activity level of the animal. According to the activity level of the animal, it is divided into multiple levels (e.g., high activity, medium activity, low activity, etc.), and each activity level corresponds to a specific water supply requirement. The state node is related to the animal's activity. Each state node represents the animal's drinking water demand state at a certain activity level.

[0034] Furthermore, the adjustment branch is constructed according to the first state chain and the second state chain. Specifically, the first state chain and the second state chain are used as baselines, and the neural network is trained until convergence by acquiring training samples, and the monitored state data is used as input and the adjusted compensation amount is used as output to obtain the adjustment branch. In the present application, the adjustment branch is used to perform compensation adjustment in the automatic control mode to improve the demand compliance of water supply control.

[0035] For example, when the first state chain (remaining amount chain) shows that the remaining water is low, the system may increase the water supply; and when the second state chain (activity chain) shows that the animal activity increases, the water supply may also need to be increased. The regulation branch can optimize the water supply strategy based on the interaction of these two chains, so that the water supply can meet the physiological needs of the animals while avoiding oversupply.

[0036] Wherein, the Markov state chain includes a first state chain with the remainder as the state variable, and step S2 of the present application also includes:

[0037] The water supply cycle is a time span based on neighborhood water supply nodes; for the water supply cycle, a class of state nodes is divided, wherein the cycle is evenly divided based on a preset time granularity; based on the drinking water demand, a variable curve of the drinking water amount under the water supply cycle is determined; traversing the variable curve, based on the class of state nodes, the first state chain is constructed, wherein the first state chain represents the remaining state of the water supply based on the automatic water supply mode.

[0038] Specifically, the neighborhood water supply node is the time node between the last water supply and the next water supply, and the span between the time nodes is used as the water supply cycle. The water supply cycle refers to the time interval between each water supply operation. In order to ensure that the water supply matches the needs of the animals, the water supply cycle needs to be reasonably set according to the drinking water needs and activity cycles of the animals.

[0039] The type of status node refers to a node obtained by evenly dividing time according to a certain granularity within a specific water supply cycle. The preset time granularity refers to how to divide the time interval within the cycle. For example, if the water supply cycle is four hours, half an hour can be used as the preset time granularity. The preset time granularity is used for dynamic evaluation within the cycle.

[0040] According to the drinking water demand of the target animal, the drinking water amount change diagram drawn in the water supply cycle is used as the variable curve to reflect the drinking water demand of the animal in different time periods. At the same time, the variable curve may be affected by various factors, such as animal weight, activity level, ambient temperature, etc. Exemplarily, according to experimental data or drinking water record data, it is determined how much water the animal should drink in each water supply cycle.

[0041] The entire water supply cycle is traversed to determine the water demand of each first-class state node. The water demand value is mapped to the state node to form the first state chain. The first state chain represents the state of the water supply surplus based on the automatic water supply mode during the water supply cycle, and ensures the accuracy and rationality of the water supply through real-time monitoring and adjustment, thereby optimizing the drinking water management of animals.

[0042] Wherein, the Markov state chain includes a second state chain with animal activity as a state variable, and step S2 of the present application also includes:

[0043] For the target animal, determine multiple levels of activity; based on the multiple levels of activity, determine the second type of link node; call the drinking water record of the target animal to mine the influence coefficient of the drinking water under the multiple levels of activity; map the second type of link node and the influence coefficient to generate the second state chain.

[0044] The activity level of the target animal refers to the degree of movement or activity of the animal within a certain period of time. The activity level will directly affect the animal's water demand. For example, when the activity level is high, the animal's water consumption is usually large. The activity level is divided into multiple levels according to the animal's activity level. Different activity levels correspond to different water needs. For example, the activity level can be divided into three levels: "low activity", "medium activity" and "high activity", or divided into more levels according to specific experimental needs.

[0045] The second type of link node refers to the state node related to the activity level of the animal, that is, each activity level (low, medium, high, etc.) corresponds to a state node. In the Markov chain, the change of activity state (from low activity to high activity, or vice versa) will affect the adjustment of water supply.

[0046] The drinking record is the drinking behavior data of the target animal in the past period of time, recording the amount of water the animal drinks under different activity states. Based on the drinking record, the change range of the animal's drinking amount under a specific activity level, that is, under the multi-level activity level, is mined as the influence coefficient to measure the degree of adjustment of the drinking amount under the activity state. For example, the influence coefficient of a low activity state may be 0.8 (indicating a slightly low amount of water), while the influence coefficient of a high activity state may be 1.2 (indicating a high amount of water).

[0047] Furthermore, a mapping between the second type of link nodes and the influence coefficients is established to form the second state chain. The second state chain helps the intelligent control system to adjust the water supply in real time by reflecting the relationship between the animal's activity level and the amount of water it drinks, improves the accuracy of water supply, ensures that the animal can get the right amount of water at different activity levels, and further enhances the intelligence level of the automatic water supply system, enabling it to make flexible water supply adjustments according to the activity status of the animal.

[0048] S3: Through the front-end sensor, real-time sensor monitoring is carried out to determine the state perception signal, which is transmitted back to the intelligent control module. The automatic water supply mode is used as the control main line, and the adjustment branch is used to perform control adjustment under state compensation to control and manage the automatic water supply equipment.

[0049] Among them, the front-end sensor is a perception monitoring device installed with the automatic water supply equipment. These sensors usually include temperature sensors, humidity sensors, motion sensors, etc., which are used to capture the environment and activity status data of animals.

[0050] The front-end sensor monitors the state of the target animal and the water level in real time, obtains the state perception signal and transmits it to the intelligent control module, and adjusts the state perception signal to a data type that can be calculated and processed. The state perception signal reflects the animal's current drinking water demand, activity status or environmental changes, and provides real-time feedback information for the system.

[0051] Furthermore, control decisions are made according to the automatic water supply mode. The automatic water supply mode is the water supply rule set above. The intelligent control module will take this as the main line and first determine the water supply control strategy driven by the program. However, due to the actual environment and physiological changes of the animals, the water supply demand may change. Therefore, an adjustment branch is introduced to adjust the state through a compensation mechanism. The adjustment branch mainly performs dynamic compensation of the water supply strategy based on the first state chain and the second state chain based on the state perception signal obtained by the front-end sensor, ensuring that the water supply system can make precise adjustments according to the real-time needs of the animals under any circumstances, ensuring that the target animals are always in the best drinking water environment.

[0052] Wherein, the control and management of the automatic water supply equipment, step S3 of this application also includes:

[0053] Based on the automatic water supply mode, the water supply control node is triggered and an automatic water supply instruction is generated; in combination with the state sensing signal and the adjustment branch, the water supply compensation information is determined by fitting the residual state and the influence of the water supply under the animal activity state; based on the water supply compensation information, the automatic water supply instruction is adjusted.

[0054] The water supply control node is a water supply operation node driven based on the set automatic water supply mode, that is, an operation node that satisfies the water supply cycle. When the predetermined water supply timing is reached, the system will start the water supply operation by triggering the water supply control node and generate an automatic water supply instruction. The automatic water supply instruction instructs the water supply equipment to perform actual water supply behavior.

[0055] Furthermore, after generating the preliminary water supply instruction, the water supply instruction is dynamically adjusted in combination with the adjustment branch. The state sensing signal reflects the current state and demand of the animal, and the water supply is optimized and adjusted in combination with the adjustment branch.

[0056] Specifically, the regulation branch dynamically adjusts the water supply by analyzing the relationship between the animal's surplus state (i.e., the current remaining water volume) and the animal's activity state (e.g., high activity or low activity). The system will combine the first state chain and the second state chain based on factors such as the water supply mode, surplus state, and activity state, taking into account both surplus and activity, and determine the water supply compensation information based on the state difference, that is, the adjustment range of the water supply required under the current state. For example, when the animal is in a high activity state, the water supply may need to be increased; while in a low activity state, the water supply may need to be reduced.

[0057] Based on the water supply compensation information, the initially generated automatic water supply instruction is adjusted to ensure that the water supply quantity more accurately meets the needs of the animals. Based on the adjusted water supply instruction, the water supply device is instructed to perform accurate water supply operations, thereby improving the accuracy and flexibility of the water supply system, ensuring that the animals can obtain sufficient water in different activity states, and avoiding discomfort or waste caused by improper water supply.

[0058] After determining the state perception signal, step S3 of the present application further includes:

[0059] A water intake limit value is set, wherein the water intake limit value measures the maximum water intake difference; taking the first state chain as a baseline, performing signal format conversion on the state sensing signal, determining the water intake difference, and calibrating it with the water intake limit value, wherein the water intake difference is marked with a positive and negative sign, wherein the calculation and processing characteristics of the intelligent control module are used as a conversion standard; if the water intake difference is marked with a negative sign and is greater than the water intake limit value, water intake attraction management is performed.

[0060] If the water intake difference is positive and greater than the water intake limit value, water supply increment management is performed in combination with the second status chain.

[0061] In the embodiment of the present application, by setting a limit value for the amount of water consumed, combined with the first state chain and the second state chain, the amount of water consumed is monitored and adjusted, thereby optimizing the control of the automatic water supply system.

[0062] The drinking water limit value is a set value for measuring the maximum difference in drinking water. The drinking water difference refers to the difference between the actual drinking water and the expected drinking water. The limit value defines the maximum acceptable range of this difference. For example, when it exceeds this range, the drinking water is too little, which may affect the normal state of the animal; or the drinking water is large, the water supply needs to be increased. By setting the drinking water limit value, the corresponding control strategy is triggered when the drinking water difference is detected to be too large.

[0063] The first state chain is a state chain constructed based on the water supply cycle and drinking water demand, which mainly reflects the change of water surplus. Here, the first state chain is used to evaluate the rationality of the current water supply.

[0064] The state sensing signals (such as water intake, activity level, etc.) collected by the front-end sensor are converted into a format that can be understood and calculated by the intelligent control module, with the data format of the intelligent control module as the standard.

[0065] The nodes are matched and compared with the baseline state in the first state chain to determine the water intake difference, that is, the deviation between the current water intake and the expected water supply. The deviation direction is marked based on the positive and negative signs, that is, the positive sign indicates that the actual water intake is greater than the expected water supply, and the negative sign indicates that the actual water intake is less than the expected water supply.

[0066] Specifically, if the drinking water difference is positive and exceeds the drinking water limit value, it means that the animal's drinking water is greater than the expected water supply, indicating that there is insufficient surplus and water supply needs to be supplemented; if the drinking water difference is negative, it means that the animal's drinking water is less than the expected water supply and exceeds the drinking water limit value, which may affect the normal state of the animal. In order to avoid the animal's water intake being too little, the animal can be guided or attracted to increase the water intake, triggering drinking water attraction management. Exemplarily, drinking water attraction management can be controlled by improving the water supply method, changing the temperature of the water source, etc.

[0067] In summary, the real-time data collected by the front-end sensor is used to determine the difference in drinking water and compare it with the drinking water limit value. If the drinking water difference is negative and greater than the limit value, water attraction management is performed, that is, water supply is increased or the water supply method is improved to ensure that the animal can get enough water; if the drinking water difference is positive and greater than the limit value, the system will use the second state chain to combine the animal's activity status to perform water supply increment management to ensure that the water supply is not excessive and avoid wasting water resources.

[0068] Through the above-mentioned dynamic adjustment mechanism, the system can achieve precise water supply control, maximally matching the animals' drinking water needs while avoiding excessive or insufficient water supply, ensuring animal health and efficient operation of the water supply system.

[0069] Among them, the application steps also include:

[0070] Establish a communication connection between the intelligent control module and the mobile terminal; receive an external control signal, which is sent by the mobile terminal; combine the state perception data, perform collision judgment on the external control signal in the automatic water supply mode, and generate a water supply control signal.

[0071] In the embodiment of the present application, the mobile terminal may be a mobile phone, a tablet computer or other device with a remote control function. The mobile terminal may communicate with the intelligent control module through an application program, send an external control signal to the automatic water supply device, and perform remote monitoring and adjustment.

[0072] The external control signal is a subjective control signal sent through a mobile terminal. Exemplarily, the external control signal may include adjustments to the water supply mode, changes in water supply, or special instructions based on changes in the external environment (such as increasing water supply when the temperature is too high).

[0073] The intelligent control module receives the external control signal, analyzes and determines the signal content (such as whether the water supply volume, water supply time, etc. need to be modified). When the external control signal collides with the automation instruction of the automatic water supply device, one of them needs to be selected for control response.

[0074] Furthermore, it is determined whether the external control signal conflicts or is inconsistent with the current automatic water supply mode. Specifically, if the external control signal requires changes in water supply volume, time, etc., and these changes conflict with the current water supply mode calculated based on the animal's activity status and drinking water needs, the system needs to determine whether to accept the control signal. Exemplarily, the collision may occur because the adjustment required by the external signal exceeds a reasonable range, for example, the external signal requires a large increase in water supply when the animal is in a low activity state, or triggers water supply again when the system has provided the animal with sufficient water.

[0075] By combining with the status perception data, the intelligent control module can determine whether the external control signal will cause excessive or insufficient water supply, thereby affecting the normal operation of the system.

[0076] According to the result of the collision judgment, the intelligent control module generates a corresponding water supply control signal. Specifically, if the external control signal is consistent with the current system state and reasonable, the control module will accept the instruction and adjust the water supply; if there is a conflict, it will make appropriate adjustments according to the set rules (such as giving priority to state perception data, giving priority to external control signals, etc.), and finally generate a control signal to adjust the water supply equipment. That is, if the external control signal is unreasonable (for example, requiring an unnecessary increase in water supply), ignore the instruction or take compensatory measures to avoid abnormal system operation.

[0077] In summary, by establishing a communication connection between the intelligent control module and the mobile terminal, receiving external control signals, and combining real-time state perception data for collision determination. After judging the compatibility between the external signal and the current state, a suitable water supply control signal is generated to adjust the operating state of the water supply equipment. Not only can routine adjustments be made according to the automatic water supply mode, but also flexible control can be performed according to external needs to ensure accurate and real-time response of water supply.

[0078] Among them, the external control signal is subjected to collision determination in the automatic water supply mode to generate a water supply control signal, and the steps of the present application also include:

[0079] A preset relaxation is set, where the preset relaxation is the allowable deviation of the water supply control; if there is a control collision and the preset relaxation is met, a water supply control signal is generated based on the external control signal; if there is a control collision and the preset relaxation is not met, a water supply control signal is generated based on the automatic water supply mode.

[0080] In the embodiment of the present application, the preset relaxation refers to the deviation range allowed in the water supply control process. That is, in some cases, the water supply control does not have to be strictly executed according to the predetermined mode, but can be flexibly adjusted within a certain range. Small errors or changes that may exist in actual operation can be tolerated to avoid overly strict control that may lead to over-regulation of the system or waste of resources.

[0081] In some cases, the water supply can fluctuate within a certain range above and below the set value without affecting the health of the animals. The preset relaxation is set to a fixed value (such as ±10%), which means that the water supply can fluctuate within this range without affecting the normal operation of the system.

[0082] When there is a conflict or inconsistency between the external control signal and the automatic water supply mode of the current water supply system. For example, the external signal may require an increase in the water supply, while the automatic water supply mode of the system has already calculated the appropriate water supply according to the needs of the animals, a "collision" will occur. Specific rules are used to determine whether to accept the external control signal.

[0083] If there is a control collision, determine whether the deviation of the collision is within the set relaxation range. If the change caused by the external control signal (such as the adjustment of the water supply) falls within the allowable relaxation range, accept the external control signal and make adjustments. This indicates that even if there is a certain conflict, the external adjustment is reasonable and the external instruction can continue to be executed.

[0084] If the collision deviation exceeds the preset relaxation range (ie, the water supply adjustment required by the external control signal exceeds the range allowed by the system), the system will ignore the external signal and still generate a water supply control signal based on the automatic water supply mode.

[0085] For example, if the system calculates that the water supply is 100 ml, and the external signal requires an increase in the water supply to 130 ml, this change exceeds the set relaxation range. The system will ignore the external signal according to the setting of the automatic water supply mode and maintain the water supply at 100 ml.

[0086] The preset relaxation is set to impose constraints to ensure the rationality of the water supply and the stable operation of the system.

[0087] The present application provides a timing and quantitative control method for an automatic water supply device for experimental animals, which has the following technical effects:

[0088] 1. According to the drinking water needs of the target animals, the automatic water supply mode is determined, and the Markov state chain is mined to build a regulation branch. The state perception signal is determined by the front-end sensor and transmitted back to the intelligent control module to control and manage the automatic water supply equipment. This solves the technical problem that it is difficult to achieve timed and quantitative management of animal drinking water and reasonable water supply regulation through intelligent control in actual scenarios in the existing technology. By dynamically adjusting the automatic water supply mode, introducing the Markov state chain and relaxation mechanism, accurate, flexible and intelligent water supply control is achieved, which effectively improves the adaptability, stability and accuracy of the system, reduces human intervention, and optimizes animal drinking water management.

[0089] 2. By constructing the first state chain with the surplus as the state variable and the second state chain with the animal activity as the state variable, the changes in the water supply process can be modeled more accurately, and adaptive adjustments can be made based on the state chain to optimize the distribution and adjustment of the water supply. The state transition characteristics of the Markov chain enable the water supply mode to dynamically adapt to different environments and animal states, improving the adaptability and operational stability of the system.

[0090] 3. When there is a conflict between the external control signal and the system's automatic water supply mode, the collision is determined through state perception data and preset relaxation, and a water supply control signal is generated based on the determination result. A smooth transition can be made between the external signal and the automatic control mode to ensure the rationality and safety of water supply adjustment.

[0091] Embodiment 2: Based on the same inventive concept as the timed quantitative control method of an automatic water supply device for experimental animals in the above embodiment, Figure 2 As shown, the present application provides a timing and quantitative control device for an automatic water supply device for experimental animals, the device comprising:

[0092] A setting unit 11, the setting unit 11 is used to determine the automatic water supply mode and program the intelligent control module according to the drinking water demand of the target animal, wherein the automatic water supply mode is determined based on time and weight fitting;

[0093] A construction unit 12, the construction unit 12 is used to mine a Markov state chain based on the automatic water supply mode and construct a regulation branch, wherein the Markov state chain includes a first state chain with a surplus as a state variable and a second state chain with an animal activity as a state variable, and the first state chain is determined based on a water supply cycle;

[0094] The control unit 13 is used to perform real-time sensing monitoring through the front-end sensor to determine the state perception signal, and transmit it back to the intelligent control module, using the automatic water supply mode as the control main line and the adjustment branch to perform control adjustment under state compensation, so as to control and manage the automatic water supply equipment.

[0095] Furthermore, the construction unit 12 is also used to perform the following steps: the water supply cycle is a time span based on a neighborhood water supply node; for the water supply cycle, a class of state nodes is divided, wherein the cycle is evenly divided based on a preset time granularity; based on the drinking water demand, a variable curve of the drinking water amount under the water supply cycle is determined; traversing the variable curve, based on the class of state nodes, the first state chain is constructed, wherein the first state chain represents the remaining state of the water supply based on the automatic water supply mode.

[0096] Furthermore, the construction unit 12 is also used to perform the following steps: determine multi-level activity levels for the target animal; determine a second type of link node based on the multi-level activity levels; call the drinking water record of the target animal to mine the influence coefficient of the drinking water under the multi-level activity levels; map the second type of link node and the influence coefficient to generate the second state chain.

[0097] Furthermore, the control unit 13 is also used to perform the following steps: based on the automatic water supply mode, trigger the water supply control node and generate an automatic water supply instruction; in combination with the state sensing signal and the adjustment branch, determine the water supply compensation information by fitting the influence of the remaining state and the water supply under the animal activity state; based on the water supply compensation information, adjust the automatic water supply instruction.

[0098] Furthermore, the control unit 13 is also used to perform the following steps: setting a water intake limit value, wherein the water intake limit value measures the maximum water intake difference; taking the first state chain as a baseline, performing signal format conversion on the state sensing signal, determining the water intake difference, and calibrating it with the water intake limit value, wherein the water intake difference is marked with a positive and negative sign, wherein the calculation and processing characteristics of the intelligent control module are used as a conversion standard; if the water intake difference is marked with a negative sign and is greater than the water intake limit value, water intake attraction management is performed.

[0099] Furthermore, if the water intake difference is positive and greater than the water intake limit value, water supply increment management is performed in combination with the second status chain.

[0100] Furthermore, the device is also used to perform the following steps: establish a communication connection between the intelligent control module and the mobile terminal; receive an external control signal, wherein the external control signal is sent by the mobile terminal; and perform collision determination on the external control signal in the automatic water supply mode in combination with the state sensing data to generate a water supply control signal.

[0101] Furthermore, the device is also used to perform the following steps: setting a preset relaxation, which is the allowable deviation of water supply control; if there is a control collision and the preset relaxation is met, generating a water supply control signal based on the external control signal; if there is a control collision and the preset relaxation is not met, generating a water supply control signal based on the automatic water supply mode.

[0102] Through the above-mentioned detailed description of the timing and quantitative control method of an automatic water supply equipment for experimental animals in this specification, those skilled in the art can clearly know the timing and quantitative control method and device of the automatic water supply equipment for experimental animals in this embodiment. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0103] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for controlling the timing and quantity of an automatic water supply device for experimental animals, characterized in that: The method comprises: According to the drinking water demand of the target animal, determine the automatic water supply mode and program the intelligent control module, wherein the automatic water supply mode is determined based on time and weight fitting; Based on the automatic water supply mode, a Markov state chain is mined to construct a regulation branch, wherein the Markov state chain includes a first state chain with a surplus as a state variable and a second state chain with an animal activity as a state variable, and the first state chain is determined based on a water supply cycle; Through the front-end sensor, real-time sensing monitoring is performed to determine the state perception signal, which is transmitted back to the intelligent control module. The automatic water supply mode is used as the control main line, and the adjustment branch is used to perform control adjustment under state compensation to control and manage the automatic water supply equipment; The Markov state chain includes a first state chain with the remainder as a state variable, including: The water supply cycle is a time span based on the neighborhood water supply nodes; For the water supply cycle, a class of state nodes is divided, wherein the cycle is evenly divided based on a preset time granularity; Based on the drinking water demand, determining a variable curve of drinking water amount under a water supply cycle; The variable curve is traversed, and the first state chain is constructed based on the first type of state nodes, wherein the first state chain represents the remaining state of the water supply based on the automatic water supply mode.

2. A timed and quantitative control method for an automatic water supply device for experimental animals as claimed in claim 1, characterized in that: The Markov state chain includes a second state chain with animal activity as a state variable, including: Determining multiple levels of activity for the target animal; Based on the multi-level activity amounts, determining a second type of link node; Calling the drinking water records of the target animal to mine the influence coefficients of drinking water under multiple levels of activity; The second type of link nodes and the influence coefficients are mapped to generate the second state chain.

3. The timing and quantitative control method of the automatic water supply equipment for experimental animals as claimed in claim 1, characterized in that: The control and management of the automatic water supply equipment includes: Based on the automatic water supply mode, triggering a water supply control node and generating an automatic water supply instruction; In combination with the state sensing signal and the adjustment branch, water supply compensation information is determined by fitting the residual state and the influence of water supply under the animal activity state; Based on the water supply compensation information, the automatic water supply instruction is adjusted.

4. A timed and quantitative control method for an automatic water supply device for experimental animals as claimed in claim 1, characterized in that: After determining the status awareness signal, including: Setting a water drinking limit value, wherein the water drinking limit value measures a maximum water drinking difference; Taking the first state chain as a baseline, converting the signal format of the state sensing signal, determining the drinking water difference, and checking it with the drinking water limit value, wherein the drinking water difference is marked with a positive and negative sign, and wherein the calculation processing characteristics of the intelligent control module are used as the conversion standard; If the water intake difference is marked with a negative sign and is greater than the water intake limit value, water intake management is performed.

5. A timed and quantitative control method for an automatic water supply device for experimental animals as claimed in claim 4, characterized in that: If the water intake difference is positive and greater than the water intake limit value, water supply increment management is performed in combination with the second status chain.

6. A timed and quantitative control method for an automatic water supply device for experimental animals as claimed in claim 1, characterized in that: The method further comprises: Establishing a communication connection between the intelligent control module and the mobile terminal; receiving an external control signal, wherein the external control signal is sent by a mobile terminal; Combined with the state perception data, the external control signal is subjected to collision determination in the automatic water supply mode to generate a water supply control signal.

7. A timed and quantitative control method for an automatic water supply device for experimental animals as claimed in claim 6, characterized in that: The external control signal is subjected to collision determination in an automatic water supply mode to generate a water supply control signal, including: Setting a preset slackness, wherein the preset slackness is an allowable deviation of water supply control; If there is a control collision and the preset relaxation is satisfied, generating a water supply control signal based on the external control signal; If there is a control collision and the preset relaxation degree is not satisfied, a water supply control signal is generated based on the automatic water supply mode.

8. A timing and quantitative control device for an automatic water supply device for experimental animals, characterized in that: The device is used to implement a timing and quantitative control method of an automatic water supply device for experimental animals as described in any one of claims 1 to 7, and the device comprises: A setting unit, the setting unit is used to determine the automatic water supply mode and program the intelligent control module according to the drinking water demand of the target animal, wherein the automatic water supply mode is determined based on time and weight fitting; A construction unit, the construction unit is used to mine a Markov state chain based on the automatic water supply mode and construct a regulation branch, wherein the Markov state chain includes a first state chain with a surplus as a state variable and a second state chain with an animal activity as a state variable, and the first state chain is determined based on a water supply cycle; A control unit, the control unit is used to perform real-time sensing monitoring through a front-end sensor to determine a state perception signal, and transmit it back to the intelligent control module, using the automatic water supply mode as the control main line and the adjustment branch to perform control adjustment under state compensation, so as to control and manage the automatic water supply equipment; The construction unit is also used to perform the following steps: the water supply cycle is a time span based on neighborhood water supply nodes; for the water supply cycle, a class of state nodes is divided, wherein the cycle is evenly divided based on a preset time granularity; based on the drinking water demand, a variable curve of the drinking water amount under the water supply cycle is determined; traversing the variable curve, based on the class of state nodes, the first state chain is constructed, wherein the first state chain represents the remaining state of the water supply based on the automatic water supply mode.

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