Pet cooling and heating bed and control method thereof

Abstract

The application provides a pet cooling and heating temperature adjusting bed and a control method thereof, and belongs to the technical field of intelligent pet products and thermal management control. The method comprises the following steps: collecting real-time temperature data of a bed surface of the pet cooling and heating temperature adjusting bed, performing analog-digital conversion processing on the real-time temperature data of the bed surface to generate continuous temperature sampling sequence data; performing multi-point numerical value comparison processing on the continuous temperature sampling sequence data to generate a temperature multi-dimensional feature set; through cooperation of liquid circulation global heat conduction and multi-component linkage regulation and control, the bed surface rising stability speed is greatly improved, and the actual measurement time from normal temperature to target temperature is shortened to less than five minutes. The global temperature difference of the bed surface is controlled to be less than two degrees Celsius, and the body temperature of the pet at any stopping position is kept consistent.

Description

Technical Field

[0001] This invention proposes a pet temperature-controlled bed and its control method, belonging to the field of intelligent pet products and thermal management control technology. Background Technology

[0002] Current pet temperature-controlled bedding products mostly use a design where semiconductor cooling and heating elements are directly bonded to a metal bed board. Heat and cold can only diffuse outwards from the bonding point, causing the temperature in the center of the bed to rise rapidly while the temperature response in the perimeter is delayed, ultimately resulting in significant localized temperature differences. To avoid the risk of low-temperature burns to pets caused by localized overheating, the industry commonly uses an additional thick layer of insulation cotton on the bed surface. This method significantly extends the response time for heating and cooling, with actual tests showing that heating time generally exceeds thirty minutes. The perceived temperature of the bed surface deviates considerably from the set temperature, resulting in a poor user experience for pets.

[0003] Existing products often employ simple on / off temperature control logic, resulting in surface temperature fluctuations remaining within a range of ±5 degrees Celsius. They lack a coordinated control mechanism for the heat dissipation of the semiconductor cooling / heating elements, leading to a high probability of semiconductor device burnout during long-term continuous operation, frequent triggering of overheat protection, and compromised overall operational stability. Furthermore, products without a liquid circulation temperature equalization structure cannot quickly and evenly distribute the heat generated by the semiconductor across the entire surface, often resulting in temperature differences exceeding 10 degrees Celsius between different points. This makes it difficult for pets to find a stable and comfortable resting area, leading to consistently high rates of product idleness and rendering them unsuitable for the constant temperature requirements of today's sophisticated pet-keeping scenarios. Summary of the Invention

[0004] This invention provides a pet temperature-controlled bed and its control method to solve the problems mentioned in the background section above: This invention proposes a method for controlling the temperature of a pet's heated / cooled bed, the method comprising: S1. Collect real-time temperature data of the pet heating and cooling bed surface, perform analog-to-digital conversion on the real-time temperature data of the bed surface to generate continuous temperature sampling sequence data; perform multi-point numerical comparison processing on the continuous temperature sampling sequence data to generate a multi-dimensional temperature feature set. S2. Perform temperature distribution state analysis on the multi-dimensional temperature feature set, identify the temperature uniformity of the current bed surface using preset temperature distribution judgment rules, and generate temperature distribution classification label data; perform operational status association and expansion on the temperature distribution classification label data to generate extended adjustment requirement data. S3. Perform instruction conversion processing on the extended adjustment demand data to generate structured operation instruction data; perform component matching analysis on the structured operation instruction data to generate component type matching data; S4. Perform runtime parameter definition processing on the component type matching data to generate runtime range limitation data for each component; sort the runtime range limitation data of each component by priority to generate component call priority sequence data; S5. Process the power allocation data of the component call priority sequence data to generate component power allocation data; prepare for synchronous operation of component power allocation data to generate multi-component synchronous operation ready signal; S6. After receiving the multi-component synchronous operation ready signal, start the semiconductor heating and cooling module to output the corresponding temperature, and at the same time start the liquid circulation module to drive the heat transfer liquid to flow in the circulation pipe under the bed surface, generating uniform temperature conduction data of the entire bed surface; perform real-time sampling and verification of the uniform temperature conduction data of the entire bed surface to generate constant temperature maintenance data of the entire bed surface.

[0005] This invention proposes a pet temperature-regulating bed, which includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0006] The beneficial effects of this invention are as follows: Through the combined effect of liquid circulation for full-area heat conduction and multi-component linkage control, the speed at which the bed surface stabilizes is significantly improved, with the measured time from room temperature to the target temperature reduced to less than five minutes. The temperature difference across the entire bed surface is controlled within two degrees Celsius, ensuring a consistent perceived temperature for the pet regardless of its position. This effectively reduces the risk of localized overheating, with the highest bed surface temperature not exceeding forty degrees Celsius throughout the entire process, completely eliminating the risk of low-temperature burns to pets. The semiconductor hot-end heat dissipation status is incorporated into the linkage control logic, significantly enhancing the stability of the device during long-term continuous operation. It can quickly respond to changes in ambient temperature to adjust the bed surface temperature and maintain stable bed surface temperature for extended periods, with temperature fluctuations controlled within ±1 degree Celsius. This reduces the sensory barrier issues caused by the additional insulation cotton used in traditional products, significantly improving the pet's comfort while lying down and greatly reducing the actual idle rate of the product. Attached Figure Description

[0007] Figure 1 This is a diagram illustrating the steps of the method described in this invention; Figure 2 This is a detailed flowchart of step S5 in this invention. Detailed Implementation

[0008] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0009] One embodiment of the present invention, such as Figure 1 As shown, a method for controlling the temperature of a pet's heated / cooled bed includes: S1. Collect real-time temperature data of the pet heating and cooling bed surface, perform analog-to-digital conversion on the real-time temperature data of the bed surface to generate continuous temperature sampling sequence data; perform multi-point numerical comparison processing on the continuous temperature sampling sequence data, extract the peak temperature features, valley temperature features and temperature change rate features in the sequence, and generate a multi-dimensional temperature feature set. S2. Perform temperature distribution state analysis on the multi-dimensional temperature feature set, identify the temperature uniformity of the current bed surface using preset temperature distribution judgment rules, map the temperature distribution state to the preset state classification system, and generate temperature distribution classification label data; extend the temperature distribution classification label data by operation state association, supplement the implicit temperature regulation needs under the current operation state, and generate extended regulation need data. S3. Perform instruction conversion processing on the extended adjustment requirement data, converting the adjustment requirements in natural language form into structured operation instructions that can be executed by hardware, and generating structured operation instruction data; perform component matching analysis on the structured operation instruction data, and select component types that match the operation instructions from the preset component control library, and generate component type matching data. S4. Perform operation parameter definition processing on the component type matching data, and limit the boundary of the operation parameters of each matched component by combining the current bed surface temperature, the set target temperature and the temperature change rate, and generate the operation range limit data of each component; sort the operation range limit data of each component by priority and generate component call priority sequence data. S5. Perform power allocation processing on the component call priority sequence data, allocate corresponding operating power range and operating time range to each component, and generate component power allocation data; prepare for synchronous operation of component power allocation data, and generate multi-component synchronous operation ready signal; S6. After receiving the multi-component synchronous operation ready signal, start the semiconductor heating and cooling module to output the corresponding temperature, and at the same time start the liquid circulation module to drive the heat transfer liquid to flow in the circulation pipe under the bed surface, generating uniform temperature conduction data of the entire bed surface; perform real-time sampling and verification of the uniform temperature conduction data of the entire bed surface, and continuously adjust the output power of the semiconductor heating and cooling module and the operating speed of the liquid circulation module to generate uniform temperature maintenance data of the entire bed surface.

[0010] The working principle and effects of the above technical solution are as follows: By collecting and analyzing the multi-dimensional temperature data of the pet temperature-regulating bed surface, the overall temperature distribution of the bed surface can be accurately perceived, effectively improving the precision and accuracy of the equipment's temperature detection. By classifying temperature states and expanding adjustment needs, corresponding adjustment strategies can be matched to actual temperature control scenarios, enhancing the adaptability and flexibility of the equipment's temperature adjustment. By accurately matching control components and classifying operating parameters and call priorities, equipment operating resources can be rationally allocated, reducing energy consumption caused by ineffective equipment operation. Through multi-component collaborative power regulation and a global temperature conduction verification mechanism, the bed surface temperature control effect can be continuously stabilized, reducing local overheating or overcooling of the bed surface, and avoiding the problems of uneven temperature control and unstable equipment operation caused by continuous operation of a single module. This not only meets the comfortable temperature control needs of pets for rest but also ensures the long-term stable and low-energy operation of the temperature-regulating bed.

[0011] In one embodiment of the present invention, S1 includes: S11. Temperature sensing units deployed in different areas of the pet heating and cooling bed continuously collect real-time raw temperature signals from multiple points on the bed surface, continuously accumulate raw sensing information within a fixed sampling period, and generate a raw temperature sensing data stream of the bed surface. S12. Perform analog-to-digital conversion on the original temperature sensing data stream of the bed surface to eliminate high-frequency noise from the sensing signal and output a continuous temperature sampling sequence data with continuous timing and standardized values. S13. Select temperature values ​​at different time points and different sampling points within the continuous temperature sampling sequence data and perform cross-comparison calculations to filter out the points with maximum and minimum values ​​within the sequence. S14. Extract the peak temperature features corresponding to the maximum point and the valley temperature features corresponding to the minimum point, and calculate the temperature change rate features corresponding to the temperature rise and fall between adjacent sampling nodes. S15. Integrate peak temperature features, valley temperature features, and temperature change rate features to complete feature encapsulation and generate a complete multi-dimensional temperature feature set.

[0012] The working principle and effects of the above technical solution are as follows: By continuously acquiring raw temperature signals from multiple points, the temperature of all areas of the temperature-regulating bed can be comprehensively covered, improving the problem of incomplete coverage from single-point temperature measurement. Analog-to-digital conversion eliminates noise in the sensor signal, effectively improving the cleanliness and accuracy of the temperature sampling data and reducing data deviations caused by interference from the raw signal. Through cross-comparison of values ​​from multiple times and points, the peak and trough values ​​of the bed surface temperature, as well as the rate of temperature change, can be accurately captured, forming complete temperature characteristic information. The entire acquisition and feature extraction process can improve the device's perception accuracy of the bed surface temperature status, meticulously capturing subtle temperature fluctuations while avoiding detection errors caused by invalid data, providing reliable data support for subsequent precise temperature adjustment.

[0013] In one embodiment of the present invention, S2 includes: S21. Retrieve all feature parameters from the multi-dimensional temperature feature set, conduct quantitative analysis of the temperature distribution across the entire bed surface, and calculate the temperature difference between different locations. S22. Call the preset temperature distribution judgment rule, combine the temperature difference value of all points in the region to judge the current temperature uniformity of the bed surface, and divide it into three basic states: uniform, slightly uneven and severely uneven. S23. Map the determined temperature uniformity state to a preset state classification system, assign corresponding identification codes, and generate standardized temperature distribution classification label data; S24. Correlation analysis is conducted between the temperature distribution classification label data and the current continuous operating time of the temperature control bed and the module start-stop records to uncover potential control demands behind temperature imbalances. S25. Supplement the basic regulation demands with detailed regulation directions such as overall temperature equalization, local temperature supplementation, and local temperature reduction, integrate all regulation demand information, and generate extended regulation demand data.

[0014] The working principle and effects of the above technical solution are as follows: By conducting comprehensive quantitative analysis of the bed surface temperature characteristic parameters, temperature differences in different areas of the bed surface can be accurately identified, improving the precision of temperature status judgment. By classifying the uniformity of bed surface temperature and completing standardized data classification, the criteria for judging temperature status can be unified, reducing misjudgments. By combining equipment operation records with correlation analysis, various causes of temperature imbalance can be deeply explored, supplementing control needs that cannot be reflected in surface temperature data. By refining multiple temperature control directions and integrating complete adjustment needs, subsequent temperature control operations can be more closely aligned with the actual imbalance of the bed surface, adapting to different degrees of temperature anomalies while avoiding the problem of insufficient adaptability caused by a single control mode, significantly improving the overall targeting and rationality of temperature control.

[0015] In one embodiment of the present invention, step S21 includes: Read the peak temperature features, valley temperature features, and temperature change rate features stored in the multi-dimensional temperature feature set, collect the time-series temperature data of all sampling points on the bed surface, and form a raw statistical data set of the entire temperature of the bed surface. Time-series data cleaning was performed on the raw statistical data set of the whole-area temperature of the bed surface to remove abnormal and instantaneous fluctuation values ​​and generate normalized whole-area temperature sampling data. The normalized global temperature sampling data is divided into regional zones, and multiple independent temperature measurement zones are separated according to the preset collection zone division standard of the temperature conditioning bed. Perform pairwise numerical comparisons on the data from each independent temperature measurement area, calculate the difference between the temperature values ​​at different points in different areas, and generate a single set of regional temperature difference calculation results. Summarize the temperature difference calculation results of each group of regions in all areas, complete the integration and statistics of temperature difference data across the entire region, output a complete set of temperature difference statistics data at all points across the entire region, and complete the quantitative analysis of the temperature distribution status of the entire bed surface.

[0016] The working principle and effects of the above technical solution are as follows: By collecting and specifically cleaning the time-series temperature data of the entire bed surface, abnormal values ​​and instantaneous fluctuations generated during the collection process can be filtered out, significantly improving the accuracy and effectiveness of temperature statistics and reducing the interference of invalid data on temperature analysis. By dividing the normalized temperature data into regions, the dimensions of bed surface temperature measurement analysis can be refined, overcoming the limitation of the overall temperature measurement mode in being unable to identify local temperature differences. Through the individual temperature difference calculation between each temperature measurement area and the overall data summary statistics, subtle temperature distribution differences on the bed surface can be accurately captured, improving the accuracy of quantitative analysis of bed surface temperature distribution. This refined data processing method can achieve comprehensive and accurate judgment of the bed surface temperature status, while avoiding the problem of distorted temperature analysis results caused by rough data statistics, providing a solid data foundation for subsequent temperature status determination and control requirements generation.

[0017] In one embodiment of the present invention, S3 includes: S31. Read the various control requests information contained in the extended control request data, start the demand analysis process, remove non-critical redundant information in the demand description, and retain the core control objectives. S32. Perform instruction conversion processing to convert the adjustment requests presented in text form into structured operation instructions that the main control chip can recognize and read, and generate structured operation instruction data. S33. Disassemble the control actions contained in the structured operation command data and separate them into independent control action units such as heating, cooling, liquid circulation, and speed regulation; S34. Retrieve the locally stored component control library, compare the controllable actions of the controllable action unit with the controllable actions of each functional component in the library, perform component matching calculations, and lock the list of compatible components. S35. Summarize all successfully matched functional component information, bind component numbers with corresponding control actions, and generate complete component type matching data.

[0018] The working principle and effects of the above technical solution are as follows: By analyzing and simplifying various control requests, invalid and redundant information can be eliminated, retaining the precise core control objectives and improving the purity of the demand information. By converting natural language control requests into structured operating instructions that the equipment can recognize, the barriers to human-machine information interaction can be eliminated, improving the smoothness of equipment instruction reception and execution. By breaking down and refining various independent control action units, the control execution dimensions can be refined, making temperature control operation more precise. By connecting to the component control library to achieve precise component matching, the control actions and hardware components can be highly adapted, reducing control failures caused by hardware mismatch. The entire processing flow can not only ensure the accurate implementation of temperature control control instructions, but also improve the rationality of hardware component calls, effectively improving the problems of blind equipment operation and low control matching degree, and improving the overall temperature control execution accuracy of the pet temperature control bed.

[0019] In one embodiment of the present invention, step S4 includes: S41. Read all the information of the components to be started from the component type matching data record, retrieve the real-time bed surface temperature value, the user-preset target temperature value, and the temperature change rate characteristics obtained in the early stage. S42. Perform operating parameter definition processing for each type of matching component, and define the highest upper limit value and the lowest lower limit value of the parameters that can be reached during the temperature regulation process; S43. Summarize the upper and lower limits of each functional component, complete the parameter range encapsulation, and generate independent operating range limit data for each component. S44. Prioritize the evaluation of the operating range limitation data of all components by combining multiple indicators such as the severity of bed surface temperature imbalance, component response speed, and energy consumption level. S45. Arrange the components according to their priority levels obtained from the evaluation, mark the priority start-up components and auxiliary control components, and generate component call priority sequence data.

[0020] The working principle and effects of the above technical solution are as follows: By combining the actual temperature of the bed surface, the target temperature, and the rate of temperature change to define the operating parameter range of each control component, the working status of the components can be standardized, preventing components from operating beyond their limits and reducing equipment malfunctions. By independently encapsulating the operating parameters of various components, the control standards for individual components can be refined, improving the precision of equipment parameter management. Through multi-dimensional indicator-based component priority evaluation, the primary and secondary functions of components can be differentiated according to actual temperature control scenarios, improving resource waste and control conflicts caused by multiple components working simultaneously. A reasonable component scheduling method allows core temperature control components to respond first to abnormal temperature conditions, improving the overall response speed of temperature regulation, while also allowing auxiliary components to operate in an orderly manner, balancing equipment energy consumption and control effects, making the overall temperature control operation more stable and efficient.

[0021] One embodiment of the present invention, such as Figure 2 As shown, S5 includes: S51. Load the component call priority sequence data, allocate control resources in order of sorting, and start multi-component collaborative power allocation calculation; S52. Determine the operating power range suitable for each component based on the target temperature control effect, and synchronously match the continuous operating time range corresponding to the power range. S53. Summarize the power range information and duration range information of all components after allocation, complete data integration and encapsulation, and generate complete component power allocation data; S54. Verify all parameters within the component power distribution data, check for abnormalities such as parameter range conflicts and power superposition overload, and complete parameter correction. S55. After the parameter verification is found to be normal, the pre-configuration for multi-component synchronous operation is completed, a unified trigger signal is output, and a multi-component synchronous operation ready signal is generated.

[0022] The working principle and effects of the above technical solution are as follows: By allocating and regulating resources based on the priority sequence of components and performing collaborative power calculations, the resource allocation ratio of different components can be distinguished, weakening the resource contention caused by the synchronous operation of multiple components. By matching the temperature control target to set the power range and operating time range of each component, the continuous working intensity of components can be constrained, reducing the energy consumption caused by long-term full-load operation. By integrating the operating parameters of all components to form complete allocation data, unified management of regulation parameters can be achieved. By conducting anomaly investigation and correction of parameters, the potential for range conflicts and power superposition overload can be eliminated in a timely manner, preventing hardware from exceeding its load limit and causing operational failures. By configuring synchronous operating conditions in advance and outputting ready signals, the start-up timing of multiple components can be uniformly controlled, ensuring that the coordinated actions of each component remain synchronized, improving the balance of bed surface temperature regulation, maintaining long-term stable operation of the equipment, and extending the service life of each functional component.

[0023] In one embodiment of the present invention, S51 includes: S511. Import component call priority sequence data, read the order of calls of each functional component and component attribute information within the sequence, and generate component priority sorting parsing data. S512. Perform component classification and aggregation processing on the component priority sorting and parsing data, distinguish between temperature control and circulation transmission components, and generate component functional classification statistics. S513. Perform resource matching calculations on the component function classification statistics, match corresponding amounts of control resources for components with different priority levels, and generate preliminary resource allocation data. S514. Perform multi-component collaborative adaptation processing on the preliminary resource allocation data, balance the resource occupancy ratio of multiple components working synchronously, and generate collaborative resource allocation intermediate data. S515: Based on the intermediate data of collaborative resource allocation, start the global multi-component collaborative power allocation operation and output standardized basic data for component power allocation operation.

[0024] The working principle and effects of the above technical solution are as follows: By analyzing the priority sequence data of components, the startup order and attributes of various hardware components are fully identified, providing a clear basis for subsequent resource allocation. By classifying components according to their functional types, the different resource requirements of temperature control components and circulation transmission components can be distinguished, avoiding the imbalance in allocation standards caused by mixing the two types of components. By performing preliminary allocation of control resources in a layered manner, high-priority components are given priority to ensure sufficient resources, improving the response speed of temperature regulation. By coordinating and adapting multiple components to adjust the resource occupancy ratio, the resource contention caused by multiple hardware components running simultaneously is alleviated, reducing resource idleness or overdraft. Based on the coordinated resource data, full-domain power calculation is performed to produce standardized and unified basic data, which can not only ensure that different components cooperate in temperature control operations, but also reduce the ineffective energy consumption caused by unreasonable resource allocation, making the power allocation calculation more consistent with the actual operating conditions of the temperature control bed.

[0025] In one embodiment of the present invention, S513 includes: Read the functional attributes and priority level information of various components from the component function classification statistics, collect a list of all functional components to be controlled, and generate basic list data of component control. Resource quota calculations are performed on the basic list data of component control, and the upper and lower limits of resources that a single component can occupy are calculated in combination with the overall control resource capacity of the temperature control bed to generate resource quota calculation data. The resource quota calculation data is processed for hierarchical adaptation and allocation, with sufficient control resource quotas allocated to high-priority components and appropriate resource quotas allocated to secondary-priority components, generating hierarchical resource allocation data. The hierarchical resource allocation data is modified to adapt to component functions, matching the working resource requirements of different types of components, fine-tuning the resource occupancy share of various components, and generating modified resource allocation data. Integrate the resource configuration information of all components in the revised resource allocation data, complete the data regularization and packaging, and generate preliminary resource allocation data.

[0026] The working principle and effects of the above technical solution are as follows: By aggregating all functional components involved in regulation and calculating the resource quota range for each component, the resource allocation boundary can be controlled according to the overall resource carrying capacity of the equipment, preventing components from over-occupying resources. By allocating regulation resources according to priority levels, core regulation components have sufficient operating resources, improving the adjustment efficiency in emergency temperature control scenarios. By fine-tuning the resource share based on the functional characteristics of different components, the adaptation deviation caused by hierarchical allocation can be corrected, making the resource allocation mode fit the actual operating needs of various components. The entire hierarchical adaptation and correction resource allocation process can optimize the overall resource layout of the equipment, reduce resource waste and uneven allocation, ensure the efficient implementation of key temperature control operations, and allow auxiliary components to operate stably, effectively improving the stability of multi-component collaborative work of the pet heating and cooling bed.

[0027] In one embodiment of the present invention, step S6 includes: S61. The main control unit continuously monitors the status of the signal channel, captures the multi-component synchronous operation ready signal transmitted from it, and completes the pre-confirmation of the control start-up. S62. Based on the component power allocation data, send a drive command to the semiconductor heating and cooling module and output the heating or cooling energy corresponding to the matching power. S63, the synchronous drive liquid circulation module is adjusted to the preset operating speed, which drives the heat transfer liquid to continuously flow inside the circulation pipeline laid below the bed surface; S64. Continuously collect the inlet and outlet temperatures of the pipeline and the temperature values ​​of each point on the bed surface, summarize the heat conduction information of the entire area, and generate the uniform temperature conduction data of the entire bed surface. S65: Circulate and read the temperature conduction data of the entire bed surface for real-time sampling and verification, dynamically change the output power of the semiconductor module and the operating speed of the liquid circulation module, and continuously output the data on the maintenance of constant temperature across the entire bed surface.

[0028] The working principle and effects of the above technical solution are as follows: By waiting for the synchronous readiness signal of multiple components before starting the temperature control operation, the start-up rhythm of each functional module can be unified, reducing the temperature control imbalance caused by the disorder of module start-up and shutdown sequence. By having the semiconductor module output cold and hot energy according to the matched power, combined with the liquid circulation module driving the heat-conducting liquid flow at a uniform speed, heat can be evenly transferred in the bed surface pipeline, improving the overall temperature uniformity of the bed surface. By continuously collecting temperature information from multiple points in the pipeline and bed surface, the heat conduction status of the entire area is completely recorded, allowing temperature monitoring to cover the entire bed surface area, reducing the control lag problem caused by monitoring blind spots. By verifying temperature data in real time and dynamically adjusting the module power and speed, it can adapt to the dynamic changes in bed surface temperature and continuously correct temperature control deviations. The entire operation and control mode can maintain the long-term stability of the bed surface temperature, improving the comfort experience of pets, while reducing the ineffective work of modules and reducing the energy consumption generated by long-term operation of the equipment.

[0029] In one embodiment of the present invention, S65 includes: Continuously retrieve the bed surface temperature conduction data stored in the system cache, read the temperature values ​​of each area of ​​the bed surface and the heat exchange temperature values ​​of the pipeline frame by frame, and generate a real-time temperature sampling and verification data source. The real-time temperature sampling and verification data source is compared and verified, and the real-time temperature parameters are compared with the preset temperature control standard parameters to generate temperature deviation comparison data. The temperature deviation comparison data is used to perform adjustment parameter correction calculations, and the energy output power of the semiconductor heating and cooling module is adjusted to match the current temperature deviation amplitude, generating power fine-tuning configuration data. The operating speed of the liquid circulation module is adjusted synchronously by combining temperature deviation comparison data to adapt to the heat transfer efficiency requirements and generate speed fine-tuning configuration data. By integrating power fine-tuning configuration data and speed fine-tuning configuration data, continuous dynamic control iteration is completed, and stable bed surface temperature data after continuous control is accumulated to generate constant temperature maintenance data for the entire bed surface.

[0030] The working principle and effects of the above technical solution are as follows: By retrieving frame-by-frame temperature and pipeline heat exchange data, continuous temperature status monitoring can be achieved, improving the timeliness of temperature anomaly detection and reducing the possibility of local temperature fluctuations going undetected. By comparing and verifying real-time temperature parameters with standard parameters, subtle temperature deviations can be accurately captured, allowing adjustments to better meet actual temperature control needs. By correcting the output power of the semiconductor module based on the deviation magnitude, temperature differences can be specifically compensated for, mitigating the decrease in comfort caused by continuous temperature deviations. Synchronously adjusting the operating rate of the liquid circulation module matches real-time heat exchange efficiency, keeping heat transfer speed and temperature control rhythm synchronized and reducing the accumulation of hot and cold air. Continuously iterating and optimizing control parameters and accumulating stable temperature data not only eliminates the adaptability shortcomings of static control modes and dynamically maintains a balanced bed surface temperature, but also reduces energy consumption caused by frequent and large-scale module adjustments, making temperature control operation more stable and long-lasting.

[0031] According to one embodiment of the present invention, a pet temperature-regulating bed includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0032] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for controlling the temperature of a pet's heated / cooled bed, characterized in that, The method includes: S1. Collect real-time temperature data of the pet heating and cooling bed surface, perform analog-to-digital conversion on the real-time temperature data of the bed surface to generate continuous temperature sampling sequence data; perform multi-point numerical comparison processing on the continuous temperature sampling sequence data to generate a multi-dimensional temperature feature set. S2. Perform temperature distribution state analysis on the multi-dimensional temperature feature set, identify the temperature uniformity of the current bed surface using preset temperature distribution judgment rules, and generate temperature distribution classification label data; perform operational status association and expansion on the temperature distribution classification label data to generate extended adjustment requirement data. S3. Perform instruction conversion processing on the extended adjustment demand data to generate structured operation instruction data; perform component matching analysis on the structured operation instruction data to generate component type matching data; S4. Perform runtime parameter definition processing on the component type matching data to generate runtime range limitation data for each component; sort the runtime range limitation data of each component by priority to generate component call priority sequence data; S5. Process the power allocation data of the component call priority sequence data to generate component power allocation data; prepare for synchronous operation of component power allocation data to generate multi-component synchronous operation ready signal; S6. After receiving the multi-component synchronous operation ready signal, start the semiconductor heating and cooling module to output the corresponding temperature, and at the same time start the liquid circulation module to drive the heat transfer liquid to flow in the circulation pipe under the bed surface, generating uniform temperature conduction data of the entire bed surface; perform real-time sampling and verification of the uniform temperature conduction data of the entire bed surface to generate constant temperature maintenance data of the entire bed surface.

2. The control method for a pet temperature-regulating bed according to claim 1, characterized in that, S1 includes: S11. Temperature sensing units deployed in different areas of the pet heating and cooling bed continuously collect real-time raw temperature signals from multiple points on the bed surface, continuously accumulate raw sensing information within a fixed sampling period, and generate a raw temperature sensing data stream of the bed surface. S12. Perform analog-to-digital conversion on the original temperature sensing data stream of the bed surface to eliminate high-frequency noise from the sensing signal and output a continuous temperature sampling sequence data with continuous timing and standardized values. S13. Select temperature values ​​at different time points and different sampling points within the continuous temperature sampling sequence data and perform cross-comparison calculations to filter out the points with maximum and minimum values ​​within the sequence. S14. Extract the peak temperature features corresponding to the maximum point and the valley temperature features corresponding to the minimum point, and calculate the temperature change rate features corresponding to the temperature rise and fall between adjacent sampling nodes. S15. Integrate peak temperature features, valley temperature features, and temperature change rate features to complete feature encapsulation and generate a complete multi-dimensional temperature feature set.

3. The control method for a pet temperature-regulating bed according to claim 1, characterized in that, The S2 includes: S21. Retrieve all feature parameters from the multi-dimensional temperature feature set, conduct quantitative analysis of the temperature distribution across the entire bed surface, and calculate the temperature difference between different locations. S22. Call the preset temperature distribution judgment rule, combine the temperature difference value of all points in the region to judge the current temperature uniformity of the bed surface, and divide it into three basic states: uniform, slightly uneven and severely uneven. S23. Map the determined temperature uniformity state to a preset state classification system, assign corresponding identification codes, and generate standardized temperature distribution classification label data; S24. Correlation analysis is conducted between the temperature distribution classification label data and the current continuous operating time of the temperature control bed and the module start-stop records to uncover potential control demands behind temperature imbalances. S25. Supplement the basic regulatory demands with detailed regulatory directions, including overall temperature equalization, local temperature supplementation, and local temperature reduction, and integrate all regulatory demand information to generate extended regulatory demand data.

4. The control method for a pet temperature-regulating bed according to claim 1, characterized in that, The S3 includes: S31. Read the various control requests information contained in the extended control request data, start the demand analysis process, remove non-critical redundant information in the demand description, and retain the core control objectives. S32. Perform instruction conversion processing to convert the adjustment requests presented in text form into structured operation instructions that the main control chip can recognize and read, and generate structured operation instruction data. S33. Deconstruct the control actions contained in the structured operation command data and separate them into independent control action units, the independent control action units including heating, cooling, liquid circulation and speed regulation; S34. Retrieve the locally stored component control library, compare the controllable actions of the controllable action unit with the controllable actions of each functional component in the library, perform component matching calculations, and lock the list of compatible components. S35. Summarize all successfully matched functional component information, bind component numbers with corresponding control actions, and generate complete component type matching data.

5. The control method for a pet temperature-regulating bed according to claim 1, characterized in that, The S4 includes: S41. Read all the information of the components to be started from the component type matching data record, retrieve the real-time bed surface temperature value, the user-preset target temperature value, and the temperature change rate characteristics obtained in the early stage. S42. Perform operating parameter definition processing for each type of matching component, and define the highest upper limit value and the lowest lower limit value of the parameters that can be reached during the temperature regulation process; S43. Summarize the upper and lower limits of each functional component, complete the parameter range encapsulation, and generate independent operating range limit data for each component. S44. Prioritize the evaluation of the operating range limitation data of all components by combining multiple indicators such as the severity of bed surface temperature imbalance, component response speed, and energy consumption level. S45. Arrange the components according to their priority levels obtained from the evaluation, mark the priority start-up components and auxiliary control components, and generate component call priority sequence data.

6. The control method for a pet temperature-regulating bed according to claim 1, characterized in that, The S5 includes: S51. Load the component call priority sequence data, allocate control resources in order of sorting, and start multi-component collaborative power allocation calculation; S52. Determine the operating power range suitable for each component based on the target temperature control effect, and synchronously match the continuous operating time range corresponding to the power range. S53. Summarize the power range information and duration range information of all components after allocation, complete data integration and encapsulation, and generate complete component power allocation data; S54. Verify all parameters within the component power allocation data, check for abnormalities, including parameter range conflicts and power superposition overload, and complete parameter correction. S55. After the parameter verification is found to be normal, the pre-configuration for multi-component synchronous operation is completed, a unified trigger signal is output, and a multi-component synchronous operation ready signal is generated.

7. The control method for a pet temperature-regulating bed according to claim 6, characterized in that, S51 includes: S511. Import component call priority sequence data, read the order of calls of each functional component and component attribute information within the sequence, and generate component priority sorting parsing data. S512. Perform component classification and aggregation processing on the component priority sorting and parsing data, distinguish between temperature control and circulation transmission components, and generate component functional classification statistics. S513. Perform resource matching calculations on the component function classification statistics, match corresponding amounts of control resources for components with different priority levels, and generate preliminary resource allocation data. S514. Perform multi-component collaborative adaptation processing on the preliminary resource allocation data, balance the resource occupancy ratio of multiple components working synchronously, and generate collaborative resource allocation intermediate data. S515: Based on the intermediate data of collaborative resource allocation, start the global multi-component collaborative power allocation operation and output standardized basic data for component power allocation operation.

8. The control method for a pet temperature-regulating bed according to claim 7, characterized in that, S513 includes: Read the functional attributes and priority level information of various components from the component function classification statistics, collect a list of all functional components to be controlled, and generate basic list data of component control. Resource quota calculations are performed on the basic list data of component control, and the upper and lower limits of resources that a single component can occupy are calculated in combination with the overall control resource capacity of the temperature control bed to generate resource quota calculation data. The resource quota calculation data is processed for hierarchical adaptation and allocation, with sufficient control resource quotas allocated to high-priority components and appropriate resource quotas allocated to secondary-priority components, generating hierarchical resource allocation data. The hierarchical resource allocation data is modified to adapt to component functions, matching the working resource requirements of different types of components, fine-tuning the resource occupancy share of various components, and generating modified resource allocation data. Integrate the resource configuration information of all components in the revised resource allocation data, complete the data regularization and packaging, and generate preliminary resource allocation data.

9. The control method for a pet temperature-regulating bed according to claim 1, characterized in that, The S6 includes: S61. The main control unit continuously monitors the status of the signal channel, captures the multi-component synchronous operation ready signal transmitted from it, and completes the pre-confirmation of the control start-up. S62. Based on the component power allocation data, send a drive command to the semiconductor heating and cooling module and output the heating or cooling energy corresponding to the matching power. S63, the synchronous drive liquid circulation module is adjusted to the preset operating speed, which drives the heat transfer liquid to continuously flow inside the circulation pipeline laid below the bed surface; S64. Continuously collect the inlet and outlet temperatures of the pipeline and the temperature values ​​of each point on the bed surface, summarize the heat conduction information of the entire area, and generate the uniform temperature conduction data of the entire bed surface. S65: Circulate and read the temperature conduction data of the entire bed surface for real-time sampling and verification, dynamically change the output power of the semiconductor module and the operating speed of the liquid circulation module, and continuously output the data on the maintenance of constant temperature across the entire bed surface.

10. A pet temperature-regulating bed, characterized in that, The temperature-regulating bed includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 9.

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