An electric pulse regulation system for dog trainers based on pet behavior

Abstract

The present invention relates to the technical field of behavior feedback control, and specifically to an electro-pulse regulation system for a dog trainer based on pet behavior. The system includes an electro-pulse conduction path optimization module, a response time delay calculation module, an electro-pulse intensity regulation module, a progressive stimulation adjustment module, and a signal conduction switching module. In the present invention, based on the monitoring of the electro-pulse electrode contact resistance value, skin conductivity, and electro-pulse signal transmission loss, the signal conduction path is dynamically adjusted. According to the pet behavior response time delay, the stimulation trigger rhythm is adjusted, the electro-pulse output voltage is synchronously optimized, the current density distribution is balanced, and the discomfort caused by excessive local stimulation is reduced. Combining the current stimulation mode and behavior adjustment state, the progressive manner of vibration, sound, and electro-pulse stimulation is optimized. The electro-pulse signal conduction loss is analyzed, and the signal channel is dynamically adjusted according to the skin conductivity and muscle tissue resistance, reducing the signal attenuation caused by electrode contact changes and lowering the risk of signal interruption during the training process.

Description

Technical Field

[0001] The present invention relates to the technical field of behavior feedback control, and particularly to an electric pulse regulation system for a dog trainer based on pet behavior. Background Art

[0002] The technical field of behavior feedback control is an automated control technology based on real-time monitoring and feedback adjustment. The core of the technology lies in using sensors or detection devices to monitor the behavior, state, or environmental variables of the target object, and dynamically adjusting the system output through a feedback mechanism to achieve the desired control effect. For example, in biological behavior regulation, the behavior feedback control technology can accurately identify and adjust the movement, reaction, or state of the target, thereby improving the adaptability and intelligence level of the system.

[0003] Among them, the electric pulse regulation system for a dog trainer based on pet behavior is a pet training device that combines behavior feedback control technology, aiming to correct and guide pet behavior through electric pulse stimulation. The system is mainly implemented through a dog trainer, including a signal receiving device, a behavior analysis module, and an electric pulse control unit. It can monitor the behavior of pets in real time, and when detecting bad behavior, trigger a slight electric pulse stimulation for intervention. It is widely used in the fields of pet training, behavior correction, and safety management, helping pets develop good behavior habits, while avoiding frequent intervention by the owner and improving training efficiency.

[0004] Currently, the dog trainer does not combine the dynamic changes of electrode contact impedance and pet skin conductivity in the selection of the electric pulse conduction path. The stimulation signal may have unstable conduction loss due to the fluctuation of the electrode state. The behavior response delay is not incorporated into the rhythm adjustment mechanism, and the stimulation interval may not match the pet's reaction rhythm, affecting the coherence of behavior training. The electric pulse output does not combine the degree of target muscle activation and signal conduction characteristics, which may cause uneven local stimulation intensity. The progressive stimulation method lacks optimization based on the behavior adjustment state. The low-intensity signal may be difficult to take effect, while the triggering frequency of the high-intensity electric pulse is too high, affecting the gradualness of training. The signal channel adjustment does not combine the dynamic changes of skin conductivity and muscle tissue resistance, and it is easy to have too fast signal attenuation or unreasonable transmission path selection, affecting the stability of the training signal. Summary of the Invention

[0005] The purpose of the present invention is to solve the drawbacks existing in the prior art, and to propose an electric pulse regulation system for a dog trainer based on pet behavior.

[0006] To achieve the above purpose, the present invention adopts the following technical solution: An electric pulse regulation system for a dog trainer based on pet behavior includes:

[0007] The electrical pulse conduction path optimization module collects the contact resistance values of electrical pulse electrodes, the electrical conductivity of the pet's skin, and the signal transmission loss between electrical pulse electrodes, screens the main electrical pulse channel and the standby electrical pulse channel, adjusts the electrical pulse signal transmission path, and generates an optimized path for electrical pulse signals;

[0008] The response delay calculation module, based on the optimized electrical pulse signal path, counts the electrical pulse trigger time and the pet's muscle activity response time, calculates the pet's behavior response delay, and generates pet behavior response delay data;

[0009] The electrical pulse intensity regulation module, according to the pet behavior response delay data, obtains the conduction intensity of the electrical pulse signal in the pet's muscle tissue, adjusts the output voltage and calculates the current density distribution, and generates electrical pulse output regulation parameters;

[0010] The progressive stimulation adjustment module, based on the electrical pulse output regulation parameters, combines the current stimulation mode, monitors the pet behavior adjustment state, adjusts the trigger rhythm, and generates an optimized progressive stimulation mode;

[0011] The signal conduction switching module, based on the optimized progressive stimulation mode, analyzes the current state of the electrical pulse signal channel, monitors the electrical pulse signal conduction loss, dynamically adjusts the signal channel, and generates the electrical pulse signal conduction channel regulation result.

[0012] As a further solution of the present invention, the optimized electrical pulse signal path includes a main electrical pulse channel, a standby electrical pulse channel, and signal transmission path adjustment parameters; the pet behavior response delay data includes the electrical pulse trigger time, the pet's muscle activity response time, and the comparison result of the behavior response delay threshold; the electrical pulse output regulation parameters include the electrical pulse output voltage, the electrical pulse conduction intensity in the muscle tissue, and the current density distribution record; the optimized progressive stimulation mode includes the vibration trigger rhythm, the sound trigger rhythm, and the electrical pulse stimulation mode adjustment parameters; the electrical pulse signal conduction channel regulation result includes the signal channel state, the electrical pulse signal conduction loss analysis result, and the signal channel dynamic adjustment parameters.

[0013] As a further solution of the present invention, the electrical pulse conduction path optimization module includes an impedance value acquisition sub-module, a channel screening sub-module, and a path adjustment sub-module;

[0014] The impedance value acquisition sub-module, based on the contact resistance value of the electrical pulse electrode, the electrical conductivity of the pet's skin, and the signal transmission loss between the electrical pulse electrodes, detects and calculates the electrode contact resistance value, the conductivity value, and the signal transmission loss value, and establishes a resistance data set for the differential electrical pulse channel; generates a differential channel resistance set;

[0015] The channel screening sub-module screens the main electrical pulse channel with the lowest loss and the standby electrical pulse channel with the second lowest loss based on the set of differential channel resistances. According to the screening results, the resistance values and signal transmission characteristics of the two channels are determined. Using the formula:

[0016] ;

[0017] Calculate the effective impedance value of the channel , and generate a set of main channel and standby channel parameters. Among them, represents the resistance value of each channel, represents the signal transmission loss of each channel, represents the conductivity value of the channel, represents the conductivity of the pet's skin, represents the conductivity threshold, represents the number of channels;

[0018] The path adjustment sub-module monitors the change in the impedance of the main channel caused by the pet's movement state according to the set of main channel and standby channel parameters, and judges whether the impedance of the main channel exceeds the impedance threshold. When the impedance of the main channel exceeds the impedance threshold, the signal transmission is switched to the standby channel to generate an optimized electrical pulse signal transmission path.

[0019] As a further solution of the present invention, the response delay calculation module includes a signal time acquisition sub-module, a delay calculation sub-module, and a delay data generation sub-module;

[0020] Based on the optimized path of the electrical pulse signal, the signal time acquisition sub-module obtains the electrical pulse trigger time and the pet muscle activity response time, records the actual time point data of the trigger time and the muscle response time, establishes a differential record of the corresponding time points, and generates a set of electrical pulse trigger and response time points;

[0021] According to the set of electrical pulse trigger and response time points, the delay calculation sub-module compares the delay value according to the set behavior response threshold. Using the formula:

[0022] ;

[0023] Calculate the pet behavior response delay value , and generate behavior response delay comparison data. Among them, represents the pet muscle activity response time point, represents the electrical pulse trigger time point, represents the actual response delay, represents the set behavior response threshold;

[0024] The time-delay data generation sub-module integrates the time-delay value and the corresponding threshold state for the comparison result based on the behavior response time-delay comparison data, classifies and organizes them into response time-delay data records, and generates pet behavior response time-delay data.

[0025] As a further solution of the present invention, the electric pulse intensity regulation module includes a signal intensity calculation sub-module, an intensity comparison and adjustment sub-module, and a current density distribution calculation sub-module;

[0026] The signal intensity calculation sub-module obtains the conduction intensity of the electric pulse signal in the pet's muscle tissue according to the pet behavior response time-delay data, calculates the actual intensity value of the signal conduction, and generates an electric pulse conduction intensity data set;

[0027] The intensity comparison and adjustment sub-module compares the electric pulse conduction intensity data set with the target muscle activation degree threshold, judges the matching situation of the current signal intensity, and adjusts the output voltage value of the electric pulse according to the comparison result, using the formula:

[0028] ;

[0029] Calculate the electric pulse output voltage adjustment value , and generate an output voltage adjustment parameter, where represents the signal intensity value, represents the conduction time of the muscle tissue, represents the resistance value of the conduction path, represents the target muscle activation degree threshold, represents the current muscle activation degree, represents the number of signal intensities in the conduction path, represents the number of resistance points in the conduction path;

[0030] The current density distribution calculation sub-module calculates the current density distribution in the muscle tissue based on the output voltage adjustment parameter and combines the adjusted electric pulse signal, and organizes and classifies it to generate electric pulse current density distribution data.

[0031] As a further solution of the present invention, the progressive stimulation adjustment module includes a stimulation state monitoring sub-module, a trigger rhythm adjustment sub-module, and a stimulation mode optimization sub-module;

[0032] The stimulation state monitoring sub-module monitors the behavior adjustment state of the pet based on the electric pulse output regulation parameter and combines the current stimulation mode, records the matching information between the behavior adjustment state and the current stimulation mode, and generates a behavior adjustment state data record;

[0033] The trigger rhythm adjustment sub-module adjusts the trigger time interval of the differential stimulation mode for the current trigger rhythms of vibration, sound, and electrical pulse stimulation based on the recorded behavior adjustment status data, using the formula:

[0034] ;

[0035] Calculate the stimulation trigger rhythm adjustment value , and generate the stimulation trigger rhythm parameter, where represents the time weight of the behavior state change, represents the change amplitude of the pet behavior state, represents the signal power of the corresponding stimulation mode, represents the duration of the corresponding stimulation signal, represents the matching difference between the current state and the target state, represents the number of monitoring data points of the behavior state, represents the number of monitoring points of the stimulation mode signal parameters;

[0036] The stimulation mode optimization sub-module adjusts the trigger order and combination scheme of the vibration, sound, and electrical pulse stimulation modes according to the stimulation trigger rhythm parameter, and sorts out and outputs the optimized progressive stimulation mode.

[0037] As a further solution of the present invention, the signal conduction switching module includes a signal channel status monitoring sub-module, a conduction loss calculation sub-module, and a signal channel adjustment sub-module;

[0038] The signal channel status monitoring sub-module obtains the status data of the current electrical pulse signal channel based on the optimized progressive stimulation mode, monitors the activity, transmission stability, and current conductivity information of the signal channel, and establishes a signal channel status data set;

[0039] The conduction loss calculation sub-module calculates the conduction loss value according to the signal channel status data set, based on the current pet skin conductivity and muscle tissue resistance, and comprehensively calculates the conduction loss value according to each signal channel parameter, using the formula:

[0040] ;

[0041] Calculate the signal conduction loss value , and output the signal conduction loss data set, where represents the dynamic resistance value of the th channel, represents the skin conductivity of the corresponding channel, represents the th channel signal voltage value, represents the th channel capacitance effect parameter value, Represents the difference value between the maximum and minimum resistance values, Represents the difference value between the maximum and minimum conductivity values, Represents the number of samples for channel impedance monitoring, Represents the number of samples for signal voltage parameters;

[0042] The signal channel adjustment sub-module adjusts the conduction path of the electrical pulse signal according to the signal conduction loss data set, based on the calculated loss value, and in combination with the current resistance and conductivity, updates the status configuration of the signal channel, and generates a control result for the electrical pulse signal conduction channel.

[0043] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0044] In the present invention, based on the monitoring of the electrical pulse electrode contact resistance value, skin conductivity, and electrical pulse signal transmission loss, the signal conduction path is dynamically adjusted to reduce signal loss and improve stimulation stability. According to the pet behavior response time delay, combined with the electrical pulse trigger time and muscle activity response time, the stimulation trigger rhythm is adjusted to reduce unnecessary repeated stimulation. According to the electrical pulse conduction intensity of muscle tissue and the target muscle activation degree, the output voltage of the electrical pulse is optimized to balance the current density distribution and reduce the discomfort of excessive local stimulation. Combining the current stimulation mode and behavior adjustment state, the progression mode of vibration, sound, and electrical pulse stimulation is optimized to reduce the dependence on high-intensity electrical pulses. Through signal channel status monitoring, the electrical pulse signal conduction loss is analyzed, and the signal channel is dynamically adjusted according to skin conductivity and muscle tissue resistance to reduce signal attenuation caused by electrode contact changes and reduce the risk of signal interruption during training. Brief Description of the Drawings

[0045] Figure 1 Is the system flow chart of the present invention;

[0046] Figure 2 Is the flow chart of the electrical pulse conduction path optimization module of the present invention;

[0047] Figure 3 Is the flow chart of the response time delay calculation module of the present invention;

[0048] Figure 4 Is the flow chart of the electrical pulse intensity regulation module of the present invention;

[0049] Figure 5 Is the flow chart of the progressive stimulation adjustment module of the present invention;

[0050] Figure 6 Is the flow chart of the signal conduction switching module of the present invention. Detailed Embodiments

[0051] To make the objectives, technical solutions and advantages of the present invention more comprehensible, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0052] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the accompanying drawings, and are merely for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0053] Please refer to Figure 1 , a dog training device electrical pulse regulation system based on pet behavior includes:

[0054] The electrical pulse conduction path optimization module collects the electrical pulse electrode contact resistance value, the pet's skin conductivity, and the signal transmission loss between the electrical pulse electrodes, calculates the resistance of different electrical pulse channels, screens the main electrical pulse channel with the lowest loss, screens the standby electrical pulse channel with the second lowest loss, monitors the change in the electrical pulse electrode contact impedance caused by the pet's movement state, and when the impedance of the main electrical pulse channel exceeds the impedance threshold, calls the standby electrical pulse channel, adjusts the electrical pulse signal transmission path, and generates an optimized path for the electrical pulse signal.

[0055] The response delay calculation module, based on the optimized path of the electrical pulse signal, counts the electrical pulse trigger time and the pet's muscle activity response time, calculates the pet's behavior response delay, compares it with the set behavior response threshold, and generates pet behavior response delay data.

[0056] The electrical pulse intensity regulation module, according to the pet behavior response delay data, obtains the conduction intensity of the electrical pulse signal in the pet's muscle tissue, compares it with the target muscle activation degree threshold, adjusts the electrical pulse output voltage, calculates the electrical pulse current density distribution, and generates electrical pulse output regulation parameters.

[0057] The progressive stimulation adjustment module, based on the electrical pulse output regulation parameters, combines the current stimulation mode, monitors the pet's behavior adjustment state, adjusts the trigger rhythm of the vibration, sound and electrical pulse stimulation modes, and generates an optimized progressive stimulation mode.

[0058] Based on the optimized progressive stimulation mode, the signal conduction switching module analyzes the current state of the electrical pulse signal channel, monitors the conduction loss of the electrical pulse signal, and dynamically adjusts the signal channel according to the pet's skin conductivity and muscle tissue resistance, generating a regulation result for the electrical pulse signal conduction channel.

[0059] The optimization path of the electrical pulse signal includes the main electrical pulse channel, the standby electrical pulse channel, and the signal transmission path adjustment parameters; the pet behavior response delay data includes the electrical pulse trigger time, the pet muscle activity response time, and the comparison result of the behavior response delay threshold; the electrical pulse output regulation parameters include the electrical pulse output voltage, the electrical pulse conduction intensity of the muscle tissue, and the current density distribution record; the optimized progressive stimulation mode includes the vibration trigger rhythm, the sound trigger rhythm, and the electrical pulse stimulation mode adjustment parameters; the regulation result of the electrical pulse signal conduction channel includes the signal channel state, the analysis result of the electrical pulse signal conduction loss, and the signal channel dynamic adjustment parameters.

[0060] Please refer to Figure 2 , the electrical pulse conduction path optimization module includes an impedance value acquisition sub-module, a channel screening sub-module, and a path adjustment sub-module;

[0061] Based on the electrical pulse electrode contact resistance value, the pet's skin conductivity, and the signal transmission loss between the electrical pulse electrodes, the impedance value acquisition sub-module detects and calculates the electrode contact resistance value, the conductivity value, and the signal transmission loss value, establishing a resistance data set for the differential electrical pulse channels; generating a differential channel resistance set;

[0062] Based on the electrical pulse electrode contact resistance value, the pet's skin conductivity, and the signal transmission loss between the electrical pulse electrodes, obtain the resistance data set of the differential electrical pulse channels. First, detect the contact resistance value of the electrical pulse electrode. The contact resistance of the electrodes of multiple channels can be collected one by one through a resistance tester. For example, the contact resistance of channel A is measured as 10Ω, channel B is 12Ω, and channel C is 15Ω. At the same time, measure the pet's skin conductivity value, which can be completed through a biological conductivity tester. Set the unit of skin conductivity as μS / cm. The skin conductivity corresponding to channel A is measured as 200μS / cm, channel B is 180μS / cm, and channel C is 150μS / cm. Finally, obtain the signal transmission loss value of each channel through a signal transmission loss tester. The loss of channel A is measured as 0.1mW, channel B is 0.2mW, and channel C is 0.3mW. After integrating the data, establish a resistance data set for the differential channels; generate a differential channel resistance set.

[0063] Based on the differential channel resistance set, the channel screening sub-module screens the main electrical pulse channel with the lowest loss and the standby electrical pulse channel with the second lowest loss. According to the screening results, determine the resistance values and signal transmission characteristics of the two channels, using the formula:

[0064] ;

[0065] Calculate the effective impedance value of the calculation channel , generate the parameter sets of the main channel and the standby channel, where represents the resistance value of each channel, represents the signal transmission loss of each channel, represents the conductivity value of the channel, represents the conductivity of the pet's skin, represents the conductivity threshold, represents the number of channels;

[0066] Based on the differential channel resistance set, screen the main electric pulse channel with the lowest loss and the standby electric pulse channel with the second lowest loss. First, integrate and calculate the resistance value, conductivity value, and signal loss value of each channel in the set, and perform operations through the formula.

[0067] Among them, the parameters of channel A are respectively:

[0068]

[0069] The parameters of channel B are respectively:

[0070]

[0071] The parameters of channel C are respectively:

[0072]

[0073] Assume the conductivity threshold , substitute the data into the formula and calculate step by step to obtain:

[0074] The effective impedance value of channel A:

[0075]

[0076] The effective impedance of channel B:

[0077]

[0078] The effective impedance of channel C:

[0079]

[0080] By comparing the effective impedance values, screen out channel C as the main electric pulse channel (the lowest of channel C) and channel B as the standby electric pulse channel (the second lowest of channel B), and then generate the parameter sets of the main channel and the standby channel.

[0081] The path adjustment sub-module monitors the change in the impedance of the main channel caused by the pet's movement state according to the parameter sets of the main channel and the backup channel, determines whether the impedance of the main channel exceeds the impedance threshold. When the impedance of the main channel exceeds the impedance threshold, it switches the signal transmission to the backup channel and generates an optimized transmission path for the electrical pulse signal.

[0082] According to the parameter sets of the main channel and the backup channel, monitor the change in the impedance of the main channel caused by the pet's movement state, and collect the change in the contact impedance under the movement state through a sensor. For example, set the change threshold of the contact impedance under the movement state to 50Ω. When the real-time impedance value is collected and it is found that the impedance of channel C of the main channel rises from the original 15Ω to 60Ω, exceeding the threshold, adjust the transmission path of the electrical pulse signal according to the parameter set of the backup channel, switch the signal transmission to backup channel B, and at the same time correct the signal characteristic parameters of the backup channel to ensure transmission matching. For example, readjust the output power of the electrical pulse according to the signal transmission loss of channel B to the inverse adjustment amount of the corresponding loss value. The specific adjustment amount is a compensation ratio of 0.2mW-1, set the output power of the electrical pulse to 10mW, establish the transmission path of the backup channel, and complete the signal switching; generate an optimized transmission path for the electrical pulse signal.

[0083] Please refer to Figure 3 , the response delay calculation module includes a signal time acquisition sub-module, a delay calculation sub-module, and a delay data generation sub-module;

[0084] Based on the optimized path of the electrical pulse signal, the signal time acquisition sub-module obtains the electrical pulse trigger time and the pet's muscle activity response time, records the actual time point data of the trigger time and the muscle response time, establishes a difference record for the corresponding time points, and generates a set of electrical pulse trigger and response time points;

[0085] Based on the optimized path of the electrical pulse signal, obtain the electrical pulse trigger time and the pet's muscle activity response time. These two time points are collected by a time recorder respectively. Among them, the electrical pulse trigger time is recorded based on the starting point of the electrical pulse signal path, specifically the time when the signal electrode starts to send the electrical pulse signal. For example, in an experimental scenario, set the electrical pulse trigger time to 12.035 seconds; the pet's muscle activity response time is detected by a sensor arranged at the muscle activity to detect the initial time of the muscle response. For example, the start time of the detected muscle response is 12.097 seconds. By calculating the difference between these two time points, the time interval can be obtained, and further establish a difference time point record table. This record table records the time point differences between multiple triggers and responses in seconds. For example, the time differences recorded respectively in continuous experiments are 0.062 seconds, 0.058 seconds, and 0.065 seconds. Ensure that the time point data in the record table comes from the average value of multiple samplings, and finally generate a set of electrical pulse trigger and response time points.

[0086] The time delay calculation sub-module compares the time delay value according to the set behavior response threshold based on the set of electrical pulse trigger and response time points, using the formula:

[0087] ;

[0088] Calculate the pet behavior response time delay value , generate behavior response time delay comparison data, where represents the pet muscle activity response time point, represents the electrical pulse trigger time point, represents the actual response time delay, represents the set behavior response threshold;

[0089] According to the set of electrical pulse trigger and response time points, calculate the difference between the time points in the set one by one, and compare each time difference with the set behavior response threshold, where the behavior response threshold is preset to 0.07 seconds.

[0090] Substitute the above data into the formula for calculation. For , , , , the calculation process is as follows:

[0091]

[0092]

[0093] Repeat the calculation for other data, finally obtain the response time delay value of each data point, and then generate behavior response time delay comparison data, which can more accurately evaluate whether the threshold standard is reached and make a more accurate measurement of the behavior response.

[0094] The time delay data generation sub-module integrates the time delay value and the corresponding threshold state based on the behavior response time delay comparison data, classifies and organizes them into response time delay data records, and generates pet behavior response time delay data;

[0095] Based on the behavior response time delay comparison data, classify and organize all the calculated response time delay values and the behavior response threshold. When the response time delay value is less than or equal to the threshold of 0.07 seconds, it is classified as "normal response", and when it is greater than the threshold, it is classified as "slow response". Through this classification and organization, a response time delay record table is generated. The record table contains the experiment number, response time delay value and classification result. For example, the response time delay value of experiment number 1 is 0.062 seconds, and the classification is "normal response"; the response time delay value of experiment number 2 is 0.072 seconds, and the classification is "slow response". Integrate all the data points in the record table to generate pet behavior response time delay data.

[0096] Please refer to Figure 4 , the electric pulse intensity regulation module includes a signal intensity calculation sub-module, an intensity comparison and adjustment sub-module, and a current density distribution calculation sub-module;

[0097] The signal intensity calculation sub-module obtains the conduction intensity of the electric pulse signal in the pet's muscle tissue according to the pet behavior response delay data, calculates the actual intensity value of the signal conduction, and generates an electric pulse conduction intensity data set;

[0098] According to the pet behavior response delay data, the pet behavior response data is preliminarily analyzed, the intensity data when each electric pulse signal is conducted to the muscle tissue is extracted, combined with the activation effect of the muscle tissue on the electric pulse that has been monitored, the extracted conduction intensity is associated with the activation effect, the change range of the conduction intensity is recorded and a basic intensity data set is generated. For example, in the experiment, the conduction intensity of a certain signal is recorded as 20 mA / cm², and another is 18 mA / cm², and the muscle activation effect reaches the threshold of 25%. Then these data are stored in the set according to the independent record of each signal. During the comparison process, according to the activation standard of the target muscle, for example, the muscle activation rate threshold is set to 30%, through the above data, it can be analyzed whether the performance of the conduction intensity of a single signal meets the expectation, which can reflect the conduction intensity distribution, and then an electric pulse conduction intensity data set is generated.

[0099] The intensity comparison and adjustment sub-module compares the electric pulse conduction intensity data set with the target muscle activation degree threshold, judges the matching situation of the current signal intensity, and adjusts the electric pulse output voltage value according to the comparison result, using the formula:

[0100] ;

[0101] Calculate the electric pulse output voltage adjustment value , and generate an output voltage adjustment parameter, where, represents the signal intensity value, represents the conduction time of the muscle tissue, represents the resistance value of the conduction path, represents the target muscle activation degree threshold, represents the current muscle activation degree, represents the number of signal intensities in the conduction path, represents the number of resistance points in the conduction path;

[0102] Call the electric pulse conduction intensity data set. First, compare the intensity values in the set one by one with the target muscle activation degree threshold. For example, calculate the correspondence between the conduction intensity of 20 mA / cm² and the activation degree threshold of 30% to determine whether it meets the activation requirement. If the conduction intensity is insufficient, calculate the adjusted output voltage of the electric pulse. During the calculation of the output voltage value, factors such as the resistance value of the conduction path and the current distribution are combined and calculated using a formula.

[0103] For example, in a path, the conduction intensity , the conduction time , the path resistance , the target activation degree threshold , the current activation degree , substitute into the formula for calculation:

[0104]

[0105]

[0106]

[0107] Then:

[0108]

[0109] The calculated result shows that the adjusted output voltage needs to be set to 15 V to meet the target activation degree requirement, and then generate the output voltage adjustment parameter.

[0110] Based on the output voltage adjustment parameter, the current density distribution calculation sub-module combines the adjusted electric pulse signal, calculates the current density distribution in the muscle tissue, and sorts and classifies it to generate the electric pulse current density distribution data;

[0111] Call the output voltage adjustment parameter, apply the adjusted electric pulse signal to the muscle tissue, and calculate the current density distribution value under the adjusted voltage. For example, after the voltage is adjusted to 15 V, calculate the current density distribution through the cross-sectional area of the muscle. Assuming the cross-sectional area is 5 cm², the calculated current density is , classify and summarize these current density values to form the current distribution curve of the muscle activation area, sort and file the changing trends of the current distribution in each area, and finally generate the electric pulse current density distribution data.

[0112] Please refer to Figure 5 , the progressive stimulation adjustment module includes a stimulation state monitoring sub-module, a trigger rhythm adjustment sub-module, and a stimulation mode optimization sub-module;

[0113] The stimulation state monitoring sub-module monitors the behavior adjustment state of the pet based on the regulation parameters of the electrical pulse output, combines the current stimulation mode, records the matching information between the behavior adjustment state and the current stimulation mode, and generates a behavior adjustment state data record.

[0114] The stimulation state monitoring sub-module obtains the behavior adjustment state of the pet based on the regulation parameters of the electrical pulse output. By analyzing the pet's behavior state under different stimulation modes and combining the regulation parameters of the electrical pulse output, it tests the vibration, sound, and electrical pulse stimulation modes one by one, records the pet's behavior response data under different intensities, frequencies, and time intervals for each mode. During the monitoring process, the behavior adjustment state is quantified into specific indicators, such as behavior response time, movement amplitude, and behavior duration, etc., and recorded in seconds (s), millimeters (mm), and seconds (s) respectively. The behavior response triggered by each stimulation mode is marked by a signal recorder to construct a time series record, and finally, a behavior adjustment state data record is generated by combining the above data.

[0115] The trigger rhythm adjustment sub-module adjusts the trigger time interval of different stimulation modes based on the behavior adjustment state data record for the current trigger rhythm of vibration, sound, and electrical pulse stimulation, using the formula:

[0116] ;

[0117] Calculate the stimulation trigger rhythm adjustment value , and generate the stimulation trigger rhythm parameter, where represents the time weight of the behavior state change, represents the change amplitude of the pet's behavior state, represents the signal power of the corresponding stimulation mode, represents the duration of the corresponding stimulation signal, represents the matching difference between the current state and the target state, represents the number of monitoring data points of the behavior state, represents the number of monitoring points of the stimulation mode signal parameters;

[0118] The trigger rhythm adjustment sub-module calls the behavior adjustment state data record to adjust the trigger rhythm of vibration, sound, and electrical pulse stimulation. By extracting the response time, behavior amplitude, and signal trigger frequency parameters of each behavior state in the record, it calculates using the formula.

[0119] Among them, The time weight range of is 0.1 - 1.0, and the specific weight is calculated according to the matching degree between the behavior response time and the signal trigger. For example, if the behavior responds within 0.5 seconds after a certain signal trigger, the weight is set to 0.8, and if it responds within 1 second after the trigger, the weight is set to 0.5, calculate When the pet behavior response amplitude is set to 5 mm and the behavior response duration is 2 seconds, the power in the corresponding recorded data is 10 W, and the duration is 1 second. The signal state matching difference is set as the behavior amplitude difference. Assuming it is 1 mm in the current mode and the absolute value of the difference from the target value of 2 mm is 1 mm, substituting the above data into the formula, the calculations are as follows:

[0120]

[0121]

[0122]

[0123] ;

[0124] Finally, the obtained stimulation trigger rhythm adjustment value is 1.674 seconds. By combining multi-dimensional parameters such as the behavior response time weight, behavior amplitude, signal trigger power, and duration, the trigger rhythm is quantified, and then the stimulation trigger rhythm parameters are generated.

[0125] The stimulation mode optimization sub-module adjusts the trigger order and combination scheme of the vibration, sound, and electrical pulse stimulation modes according to the stimulation trigger rhythm parameters, and arranges and outputs the optimized progressive stimulation mode;

[0126] The stimulation mode optimization sub-module calls the stimulation trigger rhythm parameters to adjust the trigger order and combination scheme of the vibration, sound, and electrical pulse stimulation modes. Specifically, during implementation, by changing the trigger rhythm of the three stimulation modes, the trigger interval of vibration is set to 1.674 seconds, the sound stimulation interval is set to 2 seconds, and the electrical pulse interval is set to 1 second. By continuously recording the pet behavior response data, the impact of the adjusted trigger order on behavior adjustment is confirmed. Using the sequence optimization method, the changes in behavior amplitude and response time under different combinations are recorded. Finally, the optimized progressive stimulation mode is arranged to form a parameter table including the trigger order and time interval, for example, [Vibration: 1.674 s -> Sound: 2 s -> Pulse: 1 s], and the optimized progressive stimulation mode data is generated.

[0127] Please refer to Figure 6 , the signal conduction switching module includes a signal channel status monitoring sub-module, a conduction loss calculation sub-module, and a signal channel adjustment sub-module;

[0128] Based on the optimized progressive stimulation mode, the signal channel status monitoring sub-module obtains the status data of the current electrical pulse signal channel, monitors the activity, transmission stability, and current conductivity information of the signal channel, and establishes a signal channel status data set;

[0129] Based on the optimized progressive stimulation mode, it is first necessary to obtain the status data of the current electrical pulse signal channel. For the status monitoring of the signal channel, the parameter items involved need to be clarified. For example, the activity level of the signal channel can be quantified by the channel opening frequency, the transmission stability can be obtained by calculating the signal attenuation ratio, and the current conductivity information needs to be directly measured by the pet skin conductivity sensor. In the example, it is assumed that the opening frequencies monitored by Channel 1 and Channel 2 are 5 times per minute and 7 times per minute respectively, the signal attenuation ratios are 2% and 4% respectively, and the skin conductivities are 0.8 S / m and 0.7 S / m respectively. The above data are collected in real time by the monitoring device and stored in the signal channel status database. Then, these data need to be classified and sorted to establish a signal channel status data set. This set includes the dynamic resistance value, conductivity, and other related performance parameters of each channel. At the same time, it is necessary to initially classify the change ranges of the above parameters. For example, the interval of the activity level can be set as "low: ≤3 times per minute", "medium: 4 - 6 times per minute", "high: ≥7 times per minute" for further analysis. Combining the frequency of Channel 2 in the example, which is 7 times per minute, it is classified as a high activity state. The transmission stability and conductivity data are used as the input conditions for subsequent operations to generate a signal channel status data set.

[0130] According to the signal channel status data set, based on the current pet skin conductivity and muscle tissue resistance, the conduction loss value is calculated by comprehensively considering the parameters of each signal channel, using the formula:

[0131] ;

[0132] Calculate the signal conduction loss value , and output the signal conduction loss data set, where, represents the dynamic resistance value of the th channel, represents the skin conductivity of the corresponding channel, represents the th channel's signal voltage value, represents the th channel's capacitance effect parameter value, represents the difference value between the maximum and minimum resistance values, represents the difference value between the maximum and minimum conductivities, represents the number of samples for channel impedance monitoring, represents the number of samples for the signal voltage parameter;

[0133] According to the signal channel status data set, it is necessary to calculate the signal conduction loss value based on the pet skin conductivity and muscle tissue resistance. For the dynamic resistance value and the skin conductivity The acquisition of the dynamic resistance is calculated by monitoring the impedance change per unit length in the channel. For example, the dynamic resistance of Channel 1 is 6 Ω and that of Channel 2 is 8 Ω. The conductivity is directly obtained by the conductivity sensor as 0.8 S / m and 0.7 S / m above. For the signal voltage value and the capacitance effect parameter , the voltage value is obtained by measuring the peak change of the electrical pulse at different time intervals. For example, the peak voltages of Channel 1 and Channel 2 are 5 V and 4.5 V respectively. The capacitance effect parameter can be obtained by fitting the impedance frequency curve as 1.2 μF for Channel 1 and 1.4 μF for Channel 2. Then substitute into the formula for calculation. Substitute the above values into the calculation, the product of the square of the dynamic resistance and the conductivity is:

[0134]

[0135] The sum of the square roots of the voltage and the capacitance is:

[0136]

[0137] The resistance difference:

[0138]

[0139] The conductivity difference:

[0140]

[0141] The number of samples , , so the final loss value is:

[0142]

[0143] The calculation result is the conduction loss value of the signal channel. The data is statistically analyzed and the signal conduction loss data set is output.

[0144] According to the signal conduction loss data set, the signal channel adjustment sub-module adjusts the conduction path of the electrical pulse signal based on the calculated loss value and in combination with the current resistance and conductivity, updates the status configuration of the signal channel, and generates the regulation result of the electrical pulse signal conduction channel;

[0145] Based on the signal conduction loss data set, it is necessary to dynamically select the signal channel with the lowest loss, prioritize the channels according to the loss data. For example, the loss values of channel 1 and channel 2 are 14.88 and 16.20 respectively, and the channel 1 with lower loss is selected first. At the same time, combining the dynamic resistance and conductivity information, adjust the conduction path of the electrical pulse signal, switch the signal to channel 1 for conduction, and reconfigure each dynamic parameter in the conduction path. For example, after the channel is switched, the impedance of channel 1 is re-measured to be 5.8 Ω and the conductivity is 0.82 S / m. The updated signal channel state parameters are written into the control system to generate the final control result of the electrical pulse signal conduction channel.

[0146] The above is only a preferred embodiment of the present invention, and it does not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still belong to the protection scope of the technical solution of the present invention.

Claims

1. A dog training device electrical pulse regulation system based on pet behavior, characterized in that, The system includes: The electrical pulse conduction path optimization module collects the electrical pulse electrode contact resistance value, the pet's skin conductivity, and the signal transmission loss between electrical pulse electrodes, screens the main electrical pulse channel and the backup electrical pulse channel, adjusts the electrical pulse signal transmission path, and generates an optimized path for the electrical pulse signal; The response delay calculation module, based on the optimized path of the electrical pulse signal, counts the electrical pulse trigger time and the pet's muscle activity response time, calculates the pet's behavior response delay, and generates pet behavior response delay data; The electrical pulse intensity regulation module, according to the pet behavior response delay data, obtains the conduction intensity of the electrical pulse signal in the pet's muscle tissue, adjusts the output voltage and calculates the current density distribution, and generates electrical pulse output regulation parameters; The progressive stimulation adjustment module, based on the electrical pulse output regulation parameters and combined with the current stimulation mode, monitors the pet behavior adjustment state, adjusts the trigger rhythm, and generates an optimized progressive stimulation mode; The optimized progressive stimulation mode includes a vibration trigger rhythm, a sound trigger rhythm, and electrical pulse stimulation mode adjustment parameters; The signal conduction switching module, based on the optimized progressive stimulation mode, analyzes the current state of the electrical pulse signal channel, monitors the electrical pulse signal conduction loss, dynamically adjusts the signal channel, and generates a control result for the electrical pulse signal conduction channel; 2. The dog training device electric pulse regulation system based on pet behavior according to claim 1, characterized in that The optimized path of the electrical pulse signal includes a main electrical pulse channel, a backup electrical pulse channel, and signal transmission path adjustment parameters; the pet behavior response delay data includes the electrical pulse trigger time, the pet's muscle activity response time, and the comparison result of the behavior response delay threshold; the electrical pulse output regulation parameters include the electrical pulse output voltage, the electrical pulse conduction intensity in the muscle tissue, and the record of the current density distribution; the control result of the electrical pulse signal conduction channel includes the signal channel state, the analysis result of the electrical pulse signal conduction loss, and the signal channel dynamic adjustment parameters.

3. The dog training device electro-pulse regulation system based on pet behavior according to claim 1, characterized in that The electrical pulse conduction path optimization module includes an impedance value acquisition sub-module, a channel screening sub-module, and a path adjustment sub-module; The impedance value acquisition sub-module, based on the electrical pulse electrode contact resistance value, the pet's skin conductivity, and the signal transmission loss between electrical pulse electrodes, detects and calculates the electrode contact resistance value, the conductivity value, and the signal transmission loss value, and establishes a resistance data set for the differential electrical pulse channel; Generate a differential channel resistance set; The channel screening sub-module, based on the differential channel resistance set, screens the main electrical pulse channel with the lowest loss and the backup electrical pulse channel with the second lowest loss. According to the screening results, determines the resistance values and signal transmission characteristics of the two channels, and uses the formula: ； Calculate the effective impedance value of the calculation channel , generate the parameter sets of the main channel and the standby channel, where represents the resistance value of each channel, represents the signal transmission loss of each channel, represents the conductivity value of the channel, represents the pet skin conductivity, represents the conductivity threshold, represents the number of channels; The path adjustment sub-module, according to the parameter set of the main channel and the backup channel, monitors the impedance change of the main channel caused by the pet's movement state, judges whether the impedance of the main channel exceeds the impedance threshold. When the impedance of the main channel exceeds the impedance threshold, switches the signal transmission to the backup channel and generates an optimized electrical pulse signal transmission path.

4. The dog training device electric pulse regulation system based on pet behavior according to claim 1, wherein The response delay calculation module includes a signal time acquisition sub-module, a delay calculation sub-module, and a delay data generation sub-module; The signal time acquisition sub-module obtains the electric pulse trigger time and the pet muscle activity response time based on the optimized path of the electric pulse signal, records the actual time point data of the trigger time and the muscle response time, establishes a difference record for the corresponding time points, and generates a set of electric pulse trigger and response time points; The time delay calculation sub-module compares the time delay values according to the set behavior response threshold based on the set of electric pulse trigger and response time points, using the formula: ； Calculate the latency value of pet behavior response , generate comparison data of behavior response latency, where represents the time point of pet muscle activity response, represents the time point of electrical pulse triggering, represents the actual response latency, represents the set behavior response threshold; The time delay data generation sub-module integrates the time delay values and the corresponding threshold states based on the behavior response time delay comparison data, classifies and organizes them into response time delay data records, and generates pet behavior response time delay data.

5. The electric pulse regulation system for dog training devices based on pet behavior according to claim 1, characterized in that, The electric pulse intensity regulation module includes a signal intensity calculation sub-module, an intensity comparison and adjustment sub-module, and a current density distribution calculation sub-module; The signal intensity calculation sub-module obtains the conduction intensity of the electric pulse signal in the pet muscle tissue according to the pet behavior response time delay data, calculates the actual intensity value of the signal conduction, and generates a set of electric pulse conduction intensity data; The intensity comparison and adjustment sub-module compares the set of electric pulse conduction intensity data with the target muscle activation degree threshold, judges the matching situation of the current signal intensity, and adjusts the output voltage value of the electric pulse according to the comparison result, using the formula: ； Calculate the adjustment value of the output voltage of the electrical pulse , and generate an output voltage adjustment parameter, where represents the signal strength value, represents the conduction time of the muscle tissue, represents the resistance value of the conduction path, represents the target muscle activation degree threshold, represents the current muscle activation degree, represents the number of signal strengths in the conduction path, represents the number of resistance points in the conduction path; The current density distribution calculation sub-module calculates the current density distribution in the muscle tissue based on the output voltage adjustment parameter and the adjusted electric pulse signal, and organizes and classifies it to generate electric pulse current density distribution data.

6. The electric pulse regulation system for dog training devices based on pet behavior according to claim 1, wherein The progressive stimulation adjustment module includes a stimulation state monitoring sub-module, a trigger rhythm adjustment sub-module, and a stimulation mode optimization sub-module; The stimulation state monitoring sub-module monitors the behavior adjustment state of the pet based on the electric pulse output regulation parameter and the current stimulation mode, records the matching information between the behavior adjustment state and the current stimulation mode, and generates a behavior adjustment state data record; The trigger rhythm adjustment sub-module adjusts the trigger time interval of different stimulation modes based on the behavior adjustment state data record for the current trigger rhythms of vibration, sound, and electric pulse stimulation, using the formula: ； Calculate the stimulation-triggered rhythm adjustment value , and generate the stimulation-triggered rhythm parameter, where represents the time weight of the change in behavioral state represents the change amplitude of the pet's behavioral state represents the signal power of the corresponding stimulation pattern represents the duration of the corresponding stimulation signal represents the matching difference between the current state and the target state represents the number of monitoring data points of the behavioral state represents the number of monitoring points of the stimulation pattern signal parameter; The stimulation mode optimization sub-module adjusts the trigger order and combination scheme of the vibration, sound, and electric pulse stimulation modes according to the stimulation trigger rhythm parameter, and organizes and outputs the optimized progressive stimulation mode.

7. The electric pulse regulation system for dog training devices based on pet behavior according to claim 1, characterized in that, The signal conduction switching module includes a signal channel state monitoring sub-module, a conduction loss calculation sub-module, and a signal channel adjustment sub-module; The signal channel state monitoring sub-module obtains the state data of the current electric pulse signal channel based on the optimized progressive stimulation mode, monitors the activity level, transmission stability, and current conductivity information of the signal channel, and establishes a set of signal channel state data; The conduction loss calculation sub-module calculates the conduction loss value based on the set of signal channel state data according to the current pet skin conductivity and muscle tissue resistance, and comprehensively calculates the conduction loss value based on the parameters of each signal channel, using the formula: ； Calculate the signal conduction loss value , and output the signal conduction loss data set, where represents the dynamic resistance value of the th channel, represents the skin conductivity of the corresponding channel, represents the signal voltage value of the th channel, represents the capacitance effect parameter value of the th channel, represents the difference value between the maximum and minimum resistance values, represents the difference value between the maximum and minimum conductivity values, represents the number of samples for channel impedance monitoring, represents the number of samples for the signal voltage parameter; The signal channel adjustment sub-module adjusts the conduction path of the electrical pulse signal, updates the status configuration of the signal channel, and generates a control result for the electrical pulse signal conduction channel according to the signal conduction loss data set, the calculated loss value, and in combination with the current resistance and conductivity.

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