Laboratory temperature control method, system, and storage medium based on multiple sensors

Abstract

The application relates to the technical field of laboratory environment control, and discloses a laboratory temperature control method and system based on multiple sensors and a storage medium. The method calculates a first temperature difference value by obtaining a real-time temperature value and a target temperature value, and adjusts total cooling output power; temperature sensors and local air ducts are arranged in multiple experiment areas, a heating module is arranged at an air inlet of the local air duct, a cooling module is arranged at an air outlet of the local air duct, and the multiple local air ducts are connected in series; a first temperature value of a previous experiment area and a second temperature value of a current experiment area are obtained, a temporary temperature value and a second temperature difference value from the target temperature value are calculated; if the absolute value of the difference value exceeds a preset reference difference value, the output power of the cooling or heating module is adjusted according to the size relationship between the target temperature value and the temporary temperature value. The method realizes accurate temperature control of the laboratory as a whole and each experiment area, and improves temperature stability and uniformity.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of laboratory environment control, and in particular to a laboratory temperature control method and system based on multiple sensors and a storage medium. BACKGROUND

[0002] Laboratory temperature control is crucial to the accuracy and repeatability of experimental results, especially in laboratories where large experimental animals are cultured. Temperature fluctuations can directly affect the physiological state, growth and development, and metabolic level of animals. Such experiments often have a long cycle and precious samples. Temperature deviations can distort experimental data and even trigger animal stress reactions, affecting the reliability of research conclusions. Therefore, it is necessary to strictly maintain the temperature within a precise range, which is a core requirement for ensuring the scientific nature of experiments and animal welfare.

[0003] Existing laboratory temperature control relies on central air conditioning or clean air conditioning systems to achieve temperature regulation through centralized air supply. Such systems can control the overall temperature of the laboratory within a set range, meeting the basic experimental environment requirements, and are easy to operate and maintain at a relatively low cost. They are widely used in various scientific laboratories. Through air circulation, they can basically ensure the normal development of experiments without special heat source interference.

[0004] However, centralized control of central air conditioning or clean air conditioning has limitations: due to differences in distance from the air outlet, equipment heat dissipation, and animal cage placement density, actual temperatures may deviate locally in different areas of the laboratory. For medium and large experimental animals, the temperature difference may be too large due to different cage locations, affecting animal growth consistency and thus interfering with the stability of experimental data. Therefore, it is urgent to improve the temperature uniformity of the culture space in the laboratory to meet the environmental requirements of high-precision animal experiments. SUMMARY

[0005] To improve the temperature uniformity of the culture space in the laboratory, the present application provides a laboratory temperature control method and system based on multiple sensors and a storage medium.

[0006] In a first aspect, the present application provides a laboratory temperature control method based on multiple sensors, which adopts the following technical solution:

[0007] A laboratory temperature control method based on multiple sensors, comprising the following steps:

[0008] Obtaining real-time temperature values and target temperature values;

[0009] Calculating a first temperature difference value based on the target temperature value and the real-time temperature value, and adjusting the total cooling output power based on the first temperature difference value;

[0010] temperature sensors are arranged in each of the experimental zones, and local air ducts are established, the air inlet of each local air duct is provided with a heating module, and the air outlet of each local air duct is provided with a refrigeration module;

[0011] The local air ducts of the experimental zones are connected in series, and the air outlet of the current local air duct is communicated with the air inlet of the next local air duct;

[0012] A first temperature value in the previous experimental zone and a second temperature value in the current experimental zone are obtained;

[0013] A temporary temperature value is calculated according to the first temperature value and the second temperature value;

[0014] A second temperature difference value is calculated according to the target temperature value and the temporary temperature value;

[0015] If the absolute value of the second temperature difference value is greater than a preset reference difference value, the target temperature value and the temporary temperature value are compared;

[0016] If the target temperature value is greater than the temporary temperature value, the heat output power of the heating module is adjusted according to the positive correlation of the absolute value; otherwise, the cold output power of the refrigeration module is adjusted according to the positive correlation of the absolute value.

[0017] By adopting the above technical scheme, by arranging temperature sensors and local air ducts in each experimental zone, and combining with the series air duct design, the overall temperature regulation can be realized according to the total cold output power, the local temperature deviation can be eliminated through accurate adjustment of the heating and refrigeration modules according to the temperature difference between adjacent experimental zones, the stability of the overall temperature control of the laboratory is improved, the uniformity of the temperature of different experimental zones is significantly improved through real-time response to the temperature dynamics of each region and linkage adjustment, and the consistency of the environment for feeding medium and large experimental animals is effectively ensured.

[0018] Optionally, the step of calculating the temporary temperature value according to the first temperature value and the second temperature value further includes the following sub-steps:

[0019] The method for calculating the temporary temperature value is a weighted average algorithm;

[0020] The culture volume and the biological volume in the experimental zone are obtained, and the temperature control volume is calculated according to the culture volume and the biological volume;

[0021] The sum of the temperature control volume of the previous experimental zone and the temperature control volume of the current experimental zone is calculated as a temporary temperature control volume;

[0022] The weight of the first temperature value is adjusted according to the first ratio between the temperature control volume of the previous experimental zone and the temporary temperature control volume. The larger the first ratio, the larger the weight of the first temperature value; the smaller the first ratio, the smaller the weight of the first temperature value.

[0023] The weight of the second temperature value is adjusted according to the second ratio between the current temperature-controlled volume and the temporary temperature-controlled volume of the experimental area. The larger the second ratio, the larger the weight of the second temperature value; the smaller the second ratio, the smaller the weight of the second temperature value.

[0024] By adopting the above technical solution, the temporary temperature value is calculated using a weighted average algorithm, and the temperature weight is dynamically allocated based on the temperature control volume of each experimental zone. This ensures that the weight of the temperature in the calculation of the temporary temperature value of the previous and current experimental zones matches the proportion of their temperature control volume, thereby more accurately reflecting the comprehensive temperature status of adjacent areas. This avoids the local temperature distortion that may be caused by simple averaging, further improving the targeting and accuracy of temperature regulation, and ensuring that experimental zones with different volumes and biomass can obtain suitable temperature control in the series air duct system.

[0025] Optionally, the air inlet is provided with louvers and a servo driver that drives the louvers to rotate, and the heating module is located on the louvers; the air outlet is also provided with louvers and a servo driver that drives the louvers to rotate, and the cooling module is located on the louvers.

[0026] Multiple temperature sensors are installed in the experimental area, and the temperature sensors detect the temperature and generate temperature data.

[0027] Calculate discrete values ​​for multiple temperature data;

[0028] If the discrete value is greater than the preset discrete reference value, then the louvers at the air inlet and / or air outlet of the current experimental area are controlled to swing back and forth.

[0029] By adopting the above technical solution, and by installing rotatable louvers equipped with heating / cooling modules and servo drive devices at the air inlet and outlet, and combining the data collected by multiple temperature sensors in the experimental area to calculate the temperature dispersion value, when a large temperature distribution difference is detected in the area, the airflow direction and coverage can be changed by controlling the louvers at the air inlet or outlet to swing back and forth. This can effectively break the local temperature stratification phenomenon, enhance the air convection and heat exchange efficiency in the area, and make the heating or cooling effect more evenly diffused throughout the experimental space. This significantly reduces the temperature fluctuation amplitude in the same experimental area and ensures that experimental animals in different locations are in a consistent temperature environment.

[0030] Optionally, the step of controlling the reciprocating oscillation of the louvers at the air inlet and / or air outlet of the current experimental area includes the following sub-steps:

[0031] The control cycle and control step size of the louver rotation are adjusted according to the difference between the discrete value and the discrete reference value; the larger the difference, the shorter the control cycle and the larger the control step size, and the smaller the difference, the longer the control cycle and the smaller the control step size.

[0032] By adopting the above technical solution, the control cycle and step size of the reciprocating oscillation of the louvers at the air inlet and / or outlet are dynamically adjusted according to the difference between the temperature discrete value and the reference value. When the temperature difference between regions is large, a shorter cycle and a larger step size are used to enhance airflow disturbance and quickly improve temperature uniformity. When the difference is small, a longer cycle and a smaller step size are used to maintain stability, avoiding over-adjustment that may cause new fluctuations. This ensures both rapid response and correction capabilities when the temperature is unbalanced and precise stabilization after the temperature tends to be uniform. This makes the louver oscillation adjustment more targeted and energy-efficient, further improving the dynamic adaptability and overall stability of temperature control within a single experimental zone.

[0033] Optionally, the following steps may also be included:

[0034] The start signal for a special operation is obtained through an operation detection device located in the experimental area;

[0035] Upon receiving the start signal, the louvers at the air inlet and / or air outlet are controlled to rotate at a preset speed to a preset closed position, thereby closing the local air duct.

[0036] The system obtains the end signal of the special operation through the operation detection device; after receiving the end signal, it controls the louvers to rotate to the normal working position at a preset speed, so that the local air duct can be restored to flow.

[0037] By adopting the above technical solution, when performing special operations in the experimental area, controlling the louvers of the air inlet and / or outlet to rotate to the closed position to seal the local air duct can effectively block the flow of heat or cold energy, avoid drastic local temperature fluctuations caused by external environmental interference or internal temperature loss during operation, and prevent temperature imbalance from affecting experimental animals in other areas. After the operation is completed, the louvers are promptly restored to the normal working position, which can quickly restart the temperature regulation cycle and ensure that the temperature in the experimental area returns to a stable state as soon as possible. This reduces the impact of special operations on the overall temperature environment and also takes into account the efficiency of temperature recovery after operation.

[0038] Optionally, the louvers are further provided with an air supply module, and the method further includes the following steps:

[0039] While controlling the rotation of the louvers, the power of the air supply module is positively adjusted according to the absolute value or discrete value of the second temperature difference; the larger the absolute value or discrete value of the second temperature difference, the higher the power of the air supply module; the smaller the absolute value or discrete value of the second temperature difference, the lower the power of the air supply module.

[0040] By adopting the above technical solution, by setting an air supply module on the louvers and dynamically adjusting the air supply power in combination with the absolute or discrete value of the second temperature difference, higher power is used to strengthen convection and accelerate temperature balance when the temperature deviation is large or uneven. When the temperature tends to be stable, the power is reduced to reduce energy consumption and airflow disturbance, so that the air supply intensity is precisely matched with the temperature regulation requirements.

[0041] Optionally, the method further includes the following steps:

[0042] Acquire real-time temperature data within the experimental area;

[0043] If the absolute value of the difference between the real-time temperature data and the target temperature value is greater than the first preset threshold, the air supply module is controlled to supply air along the direction inside the local air duct.

[0044] If the absolute value of the difference between the real-time temperature data and the target temperature value is less than or equal to the first preset threshold, the air supply module is controlled to draw air from outside the local air duct into the channel.

[0045] By adopting the above technical solution, the air supply mode of the air supply module is dynamically switched based on the comparison between the absolute value of the difference between the real-time temperature and the target temperature and the first preset threshold. When the temperature difference is large, air supply along the local air duct can concentrate the cold and heat and enhance the directional delivery efficiency of cold and heat energy, thus quickly reducing the temperature deviation. When the temperature difference is small, air is drawn in from outside the duct, which can introduce external air, maintain temperature stability and moderately improve the air quality in the experimental area. At the same time, the automatic switching between the two modes ensures the precise matching of the air supply strategy and temperature adjustment requirements, and improves the response speed of temperature correction.

[0046] Optionally, the method further includes the following steps:

[0047] Acquire real-time temperature and odor data within the experimental area;

[0048] Set the initial angle of the air supply module so that the proportion of original air supplied along the local air duct and the proportion of fresh air drawn in from outside the local air duct are the initial ratios.

[0049] If the absolute value of the difference between the real-time temperature data and the target temperature value increases or the odor data exceeds the preset odor threshold, the rotation angle of the air supply module will be adjusted to increase the proportion of fresh air and decrease the proportion of original air.

[0050] If the absolute value of the difference between the real-time temperature data and the target temperature value decreases and the odor data is within the preset odor threshold range, then the rotation angle of the air supply module is adjusted to increase the proportion of original air and decrease the proportion of fresh air.

[0051] The current angle of the air supply module is maintained until the real-time temperature data reaches the target temperature value and the odor data is stable within the preset odor threshold range.

[0052] By adopting the above technical solution, the angle of the air supply module is dynamically adjusted by combining real-time temperature data and odor data to change the mixing ratio of raw air and fresh air. When the temperature deviation increases or the odor exceeds the limit, the proportion of fresh air is increased, which can not only introduce external regulation energy to accelerate temperature correction, but also improve the air quality in the experimental area. When the temperature tends to be stable and the odor is normal, the proportion of raw air is increased, which can reduce external interference and reduce energy consumption. Finally, when the temperature meets the standard and the odor is stable, the current angle is maintained to achieve balance.

[0053] Secondly, this application provides a laboratory temperature control system based on multiple sensors, employing the following technical solution:

[0054] A laboratory temperature control system based on multiple sensors includes a processor that performs the steps of the laboratory temperature control method based on multiple sensors as described in any one of the preceding claims.

[0055] Thirdly, this application provides a storage medium, which adopts the following technical solution:

[0056] A storage medium storing a program that, when executed by a processor, implements the steps of the laboratory temperature control method based on multiple sensors described above.

[0057] In summary, this application includes at least one of the following beneficial technical effects: Through a multi-level temperature control mechanism combining overall and local control, combined with a series-type air duct design and a weighted average algorithm, precise temperature control of the laboratory is achieved, effectively improving the stability and uniformity of temperature in each experimental area; through dynamic oscillation adjustment of the louvers and adaptation of the power and mode of the air supply module, the targeted nature and energy efficiency of temperature control are enhanced, and local temperature deviations can be quickly corrected; through a channel closure mechanism during special operations, the impact of external interference on the temperature environment is reduced; simultaneously, by adjusting the proportion of fresh air based on odor data, the air quality of the experimental area is optimized, and the overall system's comprehensive adaptability to complex experimental environments is improved. Attached Figure Description

[0058] Figure 1 This is a flowchart illustrating the steps of a laboratory temperature control method based on multiple sensors.

[0059] Figure 2This is a diagram showing the sub-steps for calculating a temporary temperature value based on the first and second temperature values. Detailed Implementation

[0060] The embodiments of this application are described in detail below, and examples of the embodiments are shown in the accompanying drawings.

[0061] In the description of this specification, the references to "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples" refer to specific features, structures, materials, or characteristics described in connection with the described embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0062] This application discloses a laboratory temperature control method based on multiple sensors, referring to... Figure 1 It includes the following steps:

[0063] The overall ambient temperature of the laboratory is collected in real time by main temperature sensors deployed in common areas, such as near the central control console and the main air circulation duct. Researchers can preset target temperature values ​​through the control system interface based on the type of experimental animals, experimental period, and experimental protocol requirements. For example, the suitable temperature for experimental animals is 20-26℃ for rats and 26-28℃ for miniature pigs; the experimental period depends on whether it is long-term feeding or short-term observation. The target temperature value supports fine-tuning within ±0.3℃, and multiple protocols can be stored for quick recall.

[0064] The first temperature difference is calculated based on the target temperature and the real-time temperature. The total cooling output power is then adjusted according to this first temperature difference. The first temperature difference ΔT1 = target temperature - real-time temperature. A positive ΔT1 indicates that the real-time temperature is lower than the target temperature; a negative ΔT1 indicates that the real-time temperature is higher than the target temperature.

[0065] When ΔT1 > 0, it means the real-time temperature is too low. The total cooling output power is reduced according to the absolute value of ΔT1, similar to the compressor frequency of a central air conditioner. For example, when ΔT1 = 1℃, the power is reduced to 70% of the rated value; when ΔT1 = 2℃, it is reduced to 50%, reducing the cooling capacity to raise the overall temperature.

[0066] When ΔT1 < 0, it means the real-time temperature is too high, and the total cooling output power is increased by the absolute value of ΔT1. For example, when ΔT1 = -1℃, the power is increased to 80% of the rated value; when ΔT1 = -2℃, it is increased to 100%, increasing the cooling capacity to lower the overall temperature.

[0067] When |ΔT1|≤0.3℃: Maintain the current total cooling output power to avoid temperature fluctuations caused by frequent adjustments.

[0068] Based on multiple experimental zones, temperature sensors are set up in each experimental zone and local air ducts are established. A heating module is set at the air inlet of the local air duct and a cooling module is set at the air outlet.

[0069] Based on the density of cage placement, equipment distribution, and the range of animal activity, the laboratory is divided into multiple independent experimental areas, such as Area A, Area B, and Area C, with each area ranging from 10 to 20 square meters, ensuring that the temperature within each area is easily controllable.

[0070] Three to five distributed temperature sensors are evenly distributed in each experimental area, covering the upper, middle, lower and corners of the cage, to monitor the temperature at each point in the area in real time, and the average value is taken as the representative temperature of the experimental area.

[0071] Each experimental zone is equipped with an independent local air duct to ensure uniform airflow within the area. The air inlet is located on the upper side of one side of the experimental zone and integrates a heating module; the heating module uses a ceramic PTC heater. The air outlet is located on the lower side of the opposite side of the experimental zone and integrates a cooling module; the cooling module uses a semiconductor cooling chip.

[0072] Local air ducts connecting multiple experimental zones are used, with the air outlet of the current local air duct connected to the air inlet of the next local air duct. Adjacent local air ducts are connected via insulated flexible hoses to form a series airflow path. For example, air outlet in zone A → air inlet in zone B, and air outlet in zone B → air inlet in zone C, ensuring orderly airflow within the experimental zones. The regulated airflow in the previous experimental zone directly affects the next experimental zone, reducing the regulation load on any single zone. For instance, warm airflow from zone A flowing into zone B can reduce the heating demand in zone B, improving overall regulation efficiency.

[0073] Obtain the first temperature value in the previous experimental zone and the second temperature value in the current experimental zone.

[0074] First temperature value acquisition: After the distributed temperature sensors in the previous experimental area (such as area A) collect data, the average value is calculated by the control system and used as the first temperature value T1 to reflect the real-time temperature status of the previous area.

[0075] Second temperature value acquisition: After the distributed temperature sensors in the current experimental area (such as area B) collect data, the average value is calculated by the control system and used as the second temperature value T2 to reflect the real-time temperature status of the current area.

[0076] Data synchronization: The time difference between T1 and T2 is ≤1 second to ensure that both reflect the temperature of adjacent areas at the same point in time and avoid adjustment errors caused by time deviation.

[0077] The temporary temperature value is calculated based on the first and second temperature values. The temporary temperature value Ttemporary is used to comprehensively reflect the temperature status of two adjacent experimental zones, avoiding interference from temperature fluctuations in a single area on the regulation.

[0078] The weighted average or arithmetic average algorithm is used, with the arithmetic average being the default, i.e., Tcritical = (T1 + T2) / 2. The specific weights can be dynamically adjusted based on factors such as the volume of the experimental area and the animal density; for example, areas with larger volumes will have higher weights.

[0079] The second temperature difference is calculated based on the target temperature value and the temporary temperature value. The second temperature difference ΔT2 = target temperature value - temporary temperature value. ΔT2 reflects the deviation between the combined temperature of adjacent experimental areas and the target temperature.

[0080] If the absolute value of the second temperature difference is greater than the preset reference difference, then the target temperature value is compared with the temporary temperature value. The preset reference difference is 0.5℃, which can be adjusted according to the experimental accuracy requirements, such as 0.3℃ for high-precision experiments. When |ΔT2|>0.5℃, it indicates that the overall temperature of the adjacent area deviates significantly from the target value, and local adjustment needs to be initiated; otherwise, the current state is maintained.

[0081] By comparing the target temperature value with the temporary temperature value, the direction of the deviation—whether it's too cold or too hot—is determined, providing a basis for subsequent adjustments to the heating / cooling modules. If the target temperature value is greater than the temporary temperature value, the cooling output power of the cooling module is adjusted according to a positive correlation between the absolute values; otherwise, the heating output power of the heating module is adjusted according to a positive correlation between the absolute values.

[0082] When the target temperature is higher than the temporary temperature, it indicates that the overall temperature in the adjacent area is too cold, and the local temperature needs to be lowered by the cooling module in the current experimental area. If the target temperature is greater than the temporary temperature, it indicates that the overall temperature is too cold, and the power of the heating module at the air inlet of the current experimental area is adjusted according to the positive correlation of |ΔT2|. For example, when |ΔT2|=0.6℃, the power is adjusted to 200W; when |ΔT2|=1.0℃, it is adjusted to 400W to raise the local temperature through heating.

[0083] When the target temperature is lower than the temporary temperature, it indicates that the overall temperature in the adjacent area is too high. The power of the cooling module at the air outlet of the current experimental area is adjusted according to the positive correlation with |ΔT2|. For example, when |ΔT2| = 0.6℃, the power is adjusted to 300W; when |ΔT2| = 1.0℃, it is adjusted to 600W to reduce the local temperature through cooling.

[0084] Through the above adjustments, the temporary temperature value gradually approaches the target temperature value, ultimately achieving temperature equilibrium between adjacent experimental areas and reducing inter-regional deviations. This method can control the overall laboratory temperature through total cooling output power and eliminate regional deviations through series air ducts and local heating / cooling modules, significantly improving temperature uniformity and meeting the environmental requirements for raising medium to large-sized laboratory animals.

[0085] Reference Figure 2 The step of calculating the temporary temperature value based on the first temperature value and the second temperature value also includes the following sub-steps:

[0086] The temporary temperature value was calculated using a weighted average algorithm. This algorithm allocates temperature proportions based on the actual influence weights of the experimental areas, better reflecting the contribution of different regions to overall temperature regulation. The formula for calculating the temporary temperature value Tcriminal is: Tcriminal = (W1 × T1 + W2 × T2) / (W1 + W2), where W1 is the weight of the first temperature value T1, W2 is the weight of the second temperature value T2, and W1 + W2 = 1. When there are significant differences in volume and biomass between adjacent experimental areas, the weighted average allows the temporary temperature value to more accurately reflect the overall temperature status.

[0087] The culture volume and biological volume within the experimental area are obtained, and the temperature control volume is calculated based on these values. Culture volume refers to the effective space volume available for temperature control within the experimental area, calculated by pre-measuring the length, width, and height of the experimental area, and is expressed in cubic meters (m³). For example, if an experimental area measures 5m × 4m × 3m, after deducting the 5m³ occupied by equipment, the culture volume is 5 × 4 × 3 - 5 = 55m³. Biological volume refers to the total volume of all experimental animals within the experimental area, calculated based on the animal species and number. For example, the average volume of an adult dog is approximately 0.05m³ / animal; or it can be collected in real-time using an infrared volume measuring instrument. For example, the biological volume of 10 adult dogs is 10 × 0.05 = 0.5m³. The temperature control volume V = culture volume - biological volume, which is the actual air space volume requiring temperature regulation. Using the above example, the temperature control volume V = 55 - 0.5 = 54.5m³. A larger temperature control volume results in slower temperature changes and a more significant impact on adjacent areas.

[0088] The temporary temperature control volume is calculated as the sum of the temperature control volumes of the previous experimental zone and the current experimental zone. The temporary temperature control volume Vtotal is used to measure the overall temperature regulation load between two adjacent experimental zones and serves as the benchmark for weight allocation. The calculation formula is: Vtotal = Vupper + Vcurrent, where Vupper is the temperature control volume of the previous experimental zone, and Vcurrent is the temperature control volume of the current experimental zone. If the temperature control volume of the previous experimental zone (Zone A) is Vupper = 50 m³, and the temperature control volume of the current experimental zone (Zone B) is Vcurrent = 30 m³, then the temporary temperature control volume Vtotal = 50 + 30 = 80 m³.

[0089] The weight of the first temperature value is adjusted based on the positive correlation between the controlled volume of the previous experimental zone and the temporary controlled volume. A larger ratio results in a larger weight for the first temperature value, and a smaller ratio results in a smaller weight. The first ratio R1 = Vupper / Vtotal, reflecting the proportion of the controlled volume of the previous experimental zone in the overall total. In the example above, R1 = 50 / 80 = 0.625. The weight W1 of the first temperature value T1 is positively correlated with R1, i.e., W1 = R1. When R1 increases, W1 increases synchronously (e.g., when R1 = 0.6, W1 = 0.6); when R1 decreases, W1 decreases synchronously (e.g., when R1 = 0.3, W1 = 0.3). This ensures that the previous experimental zone with a larger controlled volume has a higher weight in the temporary temperature calculation. For example, if the controlled volume of zone A is much larger than that of zone B, its temperature changes have a more significant impact on the overall environment; therefore, the weight of T1 needs to be increased accordingly to avoid adjustment lag due to insufficient weight.

[0090] The weight of the second temperature value is adjusted based on a positive correlation between the current controlled temperature volume and the temporary controlled temperature volume. A larger ratio results in a larger weight for the second temperature value, and vice versa. The second ratio R2 = Vcurrent / Vtotal, reflecting the proportion of the current controlled temperature volume in the overall system. In the example above, R2 = 30 / 80 = 0.375. The weight W2 of the second temperature value T2 is positively correlated with R2, i.e., W2 = R2. Since R1 + R2 = 1, W1 + W2 = 1, satisfying the weight normalization requirement. This ensures that the temperature weight of the current experimental area matches its actual controlled temperature load. For example, if the current experimental area is a small-volume region, such as an isolated breeding area, its weight is lower to avoid excessive interference from local temperature fluctuations in the small area with the overall control strategy; if it is a large-volume region, such as a group breeding area, its weight is higher to ensure that its temperature stability is given priority.

[0091] Substituting W1 and W2 into the weighted average formula, we obtain the temporary temperature value Ttemporary = W1 × T1 + W2 × T2. For example, if T1 = 22℃ in area A, T2 = 24℃ in area B, W1 = 0.625, and W2 = 0.375, then Ttemporary = 0.625 × 22 + 0.375 × 24 = 13.75 + 9 = 22.75℃. This result is closer to the temperature of area A, which has a larger temperature control volume, than the arithmetic mean (23℃), and better reflects the actual heat transfer pattern. Temperature changes in a large-volume area have a more significant impact on adjacent areas; therefore, the temporary temperature value needs to be tilted towards it to ensure more accurate subsequent adjustments.

[0092] The calculation of temporary temperature values ​​no longer relies on simple averaging, but is deeply linked to the actual temperature control load of the experimental area, making the comprehensive temperature assessment of adjacent areas more scientific. This dynamic weighting mechanism is particularly suitable for laboratories with multiple experimental areas of different sizes, such as those containing both small isolation cage areas and large group rearing areas. It can significantly improve the targeting and accuracy of temperature regulation, providing a reliable basis for the precise control of subsequent local heating / cooling modules.

[0093] Both the air inlet and outlet are equipped with rotatable louvers made of corrosion-resistant aluminum alloy, with a blade thickness of 1.5mm. The length of each blade matches the width of the air duct, and the blade spacing is 5cm, ensuring flexible adjustment of airflow direction during rotation. A heating module (PTC heating element) is embedded in the surface of the air inlet louvers, with 1-2 heating elements per blade, and the total power is adapted to the area's needs. A cooling module (semiconductor cooling element) is embedded in the surface of the air outlet louvers, integrating airflow guidance and energy output.

[0094] The louvers are connected to a servo driver, which receives signals from the control system to adjust the rotation angle of the louvers. The rotation range is 0°-90°, where 0° is fully closed and 90° is fully open. This allows for precise control of the airflow diffusion direction, such as horizontal airflow or downward airflow.

[0095] Multiple temperature sensors are installed within the experimental area to detect and generate temperature data. Each experimental area has at least five temperature sensors distributed in three dimensions: one each at the top (1.8m above ground), middle (1.0m above ground), and bottom (0.3m above ground), and one at each diagonal end of the area, ensuring coverage of high and low altitudes and corners. The sensors sample once every two seconds, and the data is transmitted to the control system in real time. Outlier values ​​are filtered out from the collected temperature data; data exceeding the normal range due to sensor malfunction, such as values ​​deviating from the average temperature of the area by ±2℃, are discarded. Valid temperature data sets are retained and denoted as T1, T2, ..., T... n , where n is the number of sensors.

[0096] Calculate the discrete values ​​of multiple temperature data points. Discrete values ​​quantify the uniformity of temperature distribution within the experimental area. Larger discrete values ​​indicate more significant temperature differences between different locations within the area, such as a noticeable temperature difference between the top and bottom, requiring adjustment. Conversely, smaller discrete values ​​indicate a more uniform temperature distribution. The standard deviation is used as the discrete value index, calculated as: σ = √[Σ(Tᵢ-T_avg)² / n]; where T_avg is the average of n temperature data points, and Tᵢ is the temperature value of the i-th sensor. For example, if the data from five sensors in an experimental area are 23℃, 24℃, 22℃, 25℃, and 21℃, then T_avg = 23℃, and σ = √[(0+1+1+4+4) / 5] = √2 ≈ 1.41℃.

[0097] If the discrete value is greater than the preset discrete reference value, the louvers at the air inlet and / or outlet of the current experimental area will be controlled to oscillate back and forth. Based on the temperature uniformity requirements of the experimental animals; for example, in canine experiments, the temperature difference within the same area must be ≤1℃. A preset discrete reference value is typically 0.8-1.2℃. For instance, if the discrete reference value is set to 1℃, when the calculated σ > 1℃, the louver adjustment is triggered; when σ ≤ 1℃, the current state of the louvers is maintained.

[0098] Louver oscillation strategy:

[0099] If there is a large temperature difference in the area near the air inlet, such as a higher temperature at the top and a lower temperature at the bottom, prioritize controlling the oscillation of the air inlet louvers. By changing the diffusion direction of hot air / natural wind, such as oscillating from horizontal to 45° downward, the heat will be directed to the low-temperature area.

[0100] If there is a large temperature difference in the area near the air outlet, such as a high temperature in the corner, prioritize controlling the oscillation of the air outlet louvers. Adjust the range of cold air diffusion, such as changing from a fixed direction to a 30° left-right reciprocating motion, to reduce local high temperatures.

[0101] If the temperature difference across the entire area is significant, σ > 1.5℃, then the louvers of the air inlet and outlet will be controlled simultaneously to form a convection circulation to enhance heat exchange.

[0102] The reciprocating swing angle range is 30°~60°. If it swings from 30° to 60° and then returns to its original position, the swing cycle is 5-10 seconds / time, ensuring that the airflow can cover all corners of the area and break the temperature stratification, such as the phenomenon of hot air gathering at the top and cold air settling at the bottom.

[0103] Dynamic adjustment enhances air convection within the experimental area, accelerates heat exchange, and allows the heat generated by the heating module or the cold output from the cooling module to be more evenly distributed throughout the experimental space, effectively reducing temperature differences between different locations within the same area. This reduces temperature fluctuations within the experimental area, ensuring that experimental animals are kept in a consistent temperature environment regardless of whether they are in the upper, lower, or corner positions of their cages, thus contributing to the stability of experimental results.

[0104] The steps for controlling the reciprocating oscillation of the louvers at the air inlet and / or air outlet of the current experimental area include the following sub-steps:

[0105] Calculate the difference between the discrete value and the discrete reference value; let the discrete value be σ, calculated using the standard deviation of temperature data from multiple points within the experimental area; let the discrete reference value be σ0, and let σ0 be a preset temperature uniformity threshold, such as 1℃. Then the difference Δσ = σ - σ0. This difference reflects the degree of imbalance in temperature distribution within the area: the larger Δσ is, the greater the actual temperature difference exceeds the standard, requiring stronger regulatory intervention; the smaller Δσ is, the closer the temperature distribution is to uniformity, and the intensity of regulation can be reduced.

[0106] The control cycle of the louver rotation refers to the time it takes for the louver to complete one "reciprocating oscillation," such as the period from the initial angle to the maximum angle and back to the initial angle, measured in seconds (s). A shorter cycle indicates a higher oscillation frequency and stronger airflow disturbance. The control step size of the louver rotation refers to the angular increment of a single rotation; for example, from 30° to 40°, the step size is 10°. A larger step size results in a more significant change in blade angle and a wider range of airflow direction adjustment. Initial parameter settings: Preset a base cycle (e.g., 10s) and a base step size (e.g., 10°) as the reference value when Δσ=0; in reality, Δσ≤0 at this point, no adjustment is needed.

[0107] The control cycle is adjusted based on the magnitude of the difference: the control cycle is inversely adjusted to Δσ; the larger Δσ is, the shorter the cycle. The specific formula can be set as: actual cycle = base cycle × (1 - k1 × Δσ); where k1 is a proportional coefficient, such as 0.5 / s, to ensure that the cycle shortens as Δσ increases, but does not fall below the minimum threshold, such as 3s, to avoid excessive mechanical wear.

[0108] Adjust the control step size based on the difference: The control step size is positively adjusted with Δσ; the larger Δσ is, the larger the step size. The specific formula can be set as: Actual step size = Basic step size × (1 + k2 × Δσ); where k2 is a proportionality coefficient, such as 5 / ℃, to ensure that the step size increases with the increase of Δσ, but does not exceed the maximum threshold, such as 30°, to avoid airflow impact caused by sudden angle changes.

[0109] Perform louver reciprocating oscillation adjustment: Send the adjusted actual cycle and actual step size to the servo driver to control the louvers of the air inlet and / or air outlet to oscillate according to the following rules: With the current angle as the center, rotate alternately to both sides according to the actual step size. For example, when the center angle is 45° and the step size is 30°, the oscillation range is 15°-75°. The time for each "oscillation-reset" process is the actual cycle, and the cycle is executed until the discrete value σ≤σ0.

[0110] During the adjustment process, the system re-acquires temperature data and calculates Δσ every 5 seconds, updating the period and step size in real time. For example, when Δσ decreases from 0.8℃ to 0.3℃, the period increases from 6s to 8s, and the step size decreases from 30° to 15°, gradually reducing the adjustment intensity.

[0111] When σ≤σ0, the louvers stop oscillating and return to the preset equilibrium angle, such as 45° downward airflow at the air inlet and 45° upward airflow at the air outlet, in order to stabilize the airflow and maintain temperature uniformity.

[0112] By using the difference between the discrete temperature value and the reference value as the adjustment basis, dynamic control of the reciprocating oscillation of the louvers at the air inlet and / or outlet is achieved; the magnitude of the difference is linked to the oscillation period and step size of the louvers. Specifically, when the temperature difference within the area is large, the system automatically shortens the oscillation period and increases the oscillation step size to quickly bring the temperature to uniformity by enhancing the airflow disturbance intensity; when the temperature difference approaches the threshold, the oscillation period is extended and the oscillation step size is reduced to gently regulate and maintain the current stable state, preventing new temperature fluctuations caused by excessive intervention.

[0113] The method also includes the following steps:

[0114] Special operation activation signals are acquired through operation detection devices installed in the experimental areas. These devices, including infrared sensors (detecting personnel entering the operation state), access control modules (detecting experimental area doors open for more than 30 seconds), and operation buttons (manually triggered by experimental personnel), are installed at the entrances of each experimental area and near the operating tables. The sampling frequency of the devices is 0.1 times / second to ensure rapid response to special operations, such as animal feeding, cage cleaning, and sample collection, which may cause environmental disturbances.

[0115] When any detection device is triggered, such as an infrared sensor detecting continuous human activity, a door opening time exceeding a threshold, or a manual operation button being pressed, the system generates a special operation start signal. The signal includes the operation area identifier (such as "Area A") and a start timestamp, which is transmitted to the main control system in real time.

[0116] Upon receiving the start signal, the louvers at the air inlet and / or outlet are controlled to rotate at a preset speed to a preset closed position, thereby sealing off the local air duct. The louver closing strategy is as follows:

[0117] If the operation involves only a single experimental area, such as cleaning cages only in area A, then only close the air inlet and outlet louvers of that area.

[0118] If the operation may affect adjacent areas, such as opening the door in area A and causing a large amount of airflow exchange, then the air inlet louvers of area A and the adjacent area B should be closed simultaneously to prevent airflow from carrying interference and spreading.

[0119] Turn off parameter settings:

[0120] The preset rotation speed is 10° / second to ensure smooth closing and avoid airflow impact;

[0121] The preset closing position is 0°, the louvers are completely in contact with the inner wall of the air duct, and the duct sealing degree is ≥98%;

[0122] During the shutdown process, the heating / cooling modules in the corresponding area are simultaneously suspended to reduce energy consumption.

[0123] Execution verification: After the louvers are in place, the position sensor provides feedback on the closed status. If they are not completely closed, such as due to obstruction by foreign objects, the system will issue an audible and visual alarm to prompt on-site handling.

[0124] The end signal of a special operation is obtained by operating the detection device. The conditions for determining the end signal are as follows:

[0125] The infrared sensor detected that a person had left the operating area and remained inactive for 30 seconds.

[0126] The access control module detected that the experimental area door was closed and locked;

[0127] The experimenter manually pressed the "Operation End" button.

[0128] When any condition is met, the system generates an end signal, which includes an operation area identifier and an end timestamp. The manual end signal has the highest priority, can override the automatic detection results, and can adapt to scenarios such as special operation timeouts.

[0129] Upon receiving the termination signal, the louvers are controlled to rotate at a preset speed to the normal operating position, restoring airflow to the local duct. The louvers then rotate in the opposite direction at a speed of 10° / second, returning to the normal operating position before operation, such as 45° for the air inlet and 30° for the air outlet, and are recorded in the system cache. During the recovery process, the heating / cooling modules are gradually restarted, with the power linearly increasing from 0 to the level before operation to avoid sudden temperature changes.

[0130] If the temperature in the area deviates from the target value by more than 0.5°C during operation (such as when the door is opened), the system will automatically start the "rapid compensation mode" after the circulation is restored; the louvers will swing back and forth by ±15° (cycle 10 seconds) on the basis of the normal working position to accelerate the temperature in the area back to the target value.

[0131] After the channel is restored, the airflow sensor in the duct is used to detect the wind speed to ensure that it is restored to more than 80% of the level before the operation. At the same time, the temperature data of the area is continuously collected, and the restoration is considered complete when the temperature fluctuation is ≤0.3℃ within 3 minutes.

[0132] Air supply modules are integrated into the louvers of the air inlet and outlet, employing low-noise axial flow fans. The power adjustment range for a single module is 50-500W. The fan outlet forms a 30° angle with the louver surface, ensuring that the air supply direction is linked to the louver angle; the air supply direction adjusts synchronously as the blades rotate. The air supply module and the heating / cooling module are independently controlled, allowing them to operate in tandem, such as enhancing hot air delivery during heating, or to start independently, such as when only enhanced air circulation is needed.

[0133] When the system controls the louvers of the air inlet and / or outlet to swing back and forth, the power regulation mechanism of the air supply module is activated simultaneously, and the specific rules are as follows:

[0134] Adjustment priority: The larger of the absolute value of the second temperature difference, |ΔT2|, and the discrete value, σ, is used as the adjustment benchmark. For example, if |ΔT2| = 1.2℃ and σ = 0.8℃, then adjust according to |ΔT2| = 1.2℃; if |ΔT2| = 0.5℃ and σ = 1.0℃, then adjust according to σ = 1.0℃.

[0135] A preset power adjustment curve is used to achieve a positive correlation between parameters and power.

[0136] When the baseline temperature is ≤0.3℃ and close to the target temperature, adjust the power to 50-100W to maintain the basic airflow.

[0137] When the temperature is 0.3℃ < reference value ≤ 0.8℃, and there is a slight deviation, adjust the power to 100-300W to enhance convection;

[0138] When the reference temperature is greater than 0.8℃ and there is a significant deviation, the power should be adjusted to 300-500W for high-intensity air supply.

[0139] Real-time dynamic adaptation of air supply power; during the louver oscillation adjustment process, the system re-collects |ΔT2| and σ every 2 seconds, and dynamically updates the air supply power according to the following logic:

[0140] If the reference value increases, such as σ rising from 0.7℃ to 1.0℃, the power will be increased in steps based on the current value, with each increase not exceeding 100W, to avoid current surges.

[0141] If the reference value decreases, such as |ΔT2| decreasing from 1.1℃ to 0.6℃, the power will decrease in a stepwise manner, with each decrease not exceeding 50W, to prevent sudden changes in airflow.

[0142] When the louvers stop oscillating, such as when σ≤σ0, the air supply power is maintained at the base value of 50W, which is only used to maintain slight air circulation in the area.

[0143] By linking the air supply module with the louvers, high-power air supply can be used to accelerate heat exchange when there is a significant temperature deviation, while low-power operation can be used after the temperature stabilizes. This achieves a precise balance between regulation efficiency and energy saving, and further enhances the dynamic response capability of temperature control in a single experimental zone.

[0144] The method also includes the following steps:

[0145] During daily operation and temperature regulation in the experimental area, distributed temperature sensors continuously collect real-time temperature data, updating the regional average temperature every second and calculating the arithmetic mean after removing outliers. The data is synchronously transmitted to the control system for real-time comparison with the preset target temperature value.

[0146] Based on the sensitivity of experimental animals to temperature fluctuations, the first preset threshold is set to 0.8℃, which can be adjusted within the range of 0.5-1.0℃ according to experimental needs.

[0147] Air supply along the direction inside the local air duct means that the air outlet of the air supply module faces the inside of the air duct, consistent with the direction of airflow circulation, so as to deliver the energy generated by the heating / cooling module to the depth of the experimental area along the air duct, thereby enhancing the concentrated transfer of hot and cold energy; air intake from the outside of the local air duct to the inside of the channel means that the air supply module operates in the opposite direction, drawing air from the inside of the experimental area into the air duct, thereby achieving the mixed circulation of air in the area and airflow in the air duct.

[0148] The air supply direction is switched based on the comparison between the absolute value of the temperature difference and the first preset threshold.

[0149] When the absolute value of the temperature difference exceeds the first preset threshold, such as |real-time temperature - target temperature| = 1.2℃ > 0.8℃, the control system sends a positive air supply command to the air supply module. The fan blades reverse or switch direction via the guide vane, and the airflow is directed along the interior of the local air duct. For example, if the temperature in the experimental area is lower than the target value, when the heating module starts, the air supply module can directly deliver heat to the low-temperature area by supplying air along the channel, reducing energy loss in the middle and shortening the time it takes for the temperature difference to drop from 1.2℃ to 0.8℃.

[0150] When the absolute value of the temperature difference is less than or equal to the first preset threshold, such as |real-time temperature - target temperature| = 0.6℃ ≤ 0.8℃, the control system switches to reverse suction mode, and the air supply module draws air from outside the channel into the duct. At this time, the drawn-in air mixes with the temperature-regulated airflow in the duct and is then reintroduced into the area. This avoids excessive local temperature fluctuations caused by continuous directional air supply and also removes odors from the experimental area, such as animal excrement, into the duct through air circulation. A simple filter module is integrated into the duct to moderately improve air quality.

[0151] When the absolute value of the temperature difference exceeds the first preset threshold, such as when it drops from 0.9℃ to 0.7℃, the system will complete the air supply direction switch within 3 seconds to avoid energy waste in the intermediate state.

[0152] During the switching process, the air supply power is first reduced to the base value of 50W, and then restored to the corresponding power according to the current temperature difference or discrete value after the direction adjustment is completed, to prevent airflow impact caused by sudden change in direction.

[0153] If the experimental area is in a special operating state, the air supply direction is fixed to "stop operation" until the operation is completed, and then the switching logic is restored according to the real-time temperature difference.

[0154] The method also includes the following steps:

[0155] During daily operation in the experimental area, in addition to the distributed temperature sensors continuously collecting real-time temperature data, odor sensors, such as volatile organic compound sensors and ammonia sensors, are deployed in the central part of the experimental area and in areas with dense cages to monitor the odor concentration in the air in real time (in ppm). The sampling frequency is synchronized with the temperature sensors (1 time / second). After preprocessing to remove outliers, both types of data form a temperature and odor linkage analysis dataset.

[0156] The air supply module adjusts its angle via rotatable guide vanes, with a rotation range of 0°-90°. This angle directly determines the mixing ratio of the original air (temperature-regulated airflow transported along the local duct) and fresh air (unregulated air drawn in from outside the experimental area). For example, at 0°, the guide vanes are completely directed towards the original air duct, with 100% original air and 0% fresh air; at 90°, they are completely directed towards the fresh air duct, with 100% fresh air and 0% original air; and at 45°, the ratio is 50%:50.

[0157] When the system starts up, the air supply module is set to a default angle of 30°, corresponding to an initial ratio of 70% original air and 30% fresh air. This ratio takes into account both temperature stability (which depends on the precise adjustment of the original air) and basic air quality (which dilutes odors with a small amount of fresh air), and is suitable for normal operation in the experimental area.

[0158] When the absolute value of the difference between the real-time temperature and the target temperature increases, such as from 0.5℃ to 1.0℃, or when the odor data exceeds the preset odor threshold (e.g., ammonia concentration > 5ppm), the control system drives the guide vanes of the air supply module to rotate in the direction of increasing the proportion of fresh air, such as from 30° to 50°. At this time, the proportion of fresh air increases (e.g., from 30% to 50%), while the proportion of original air decreases (e.g., from 70% to 50%). The newly added fresh air not only introduces regulating energy from the external environment, such as cold air in low-temperature environments, accelerating the reduction of temperature deviation, but also reduces the odor concentration in the experimental area through air replacement, preventing odor accumulation from affecting animal health. For example, when the temperature in the experimental area rises sharply due to equipment heat dissipation (the difference increases from 0.6℃ to 1.2℃), increasing the proportion of fresh air to 60% can reduce the temperature difference to below 0.8℃ within 10 minutes.

[0159] When the absolute value of the difference between the real-time temperature and the target temperature decreases, such as from 1.0℃ to 0.5℃, and the odor data is within the preset threshold range (e.g., ammonia concentration ≤ 5ppm), the control system drives the guide vanes to rotate in the direction of increasing the proportion of original air, such as from 50° to 30°. At this time, the proportion of original air increases (e.g., from 50% to 70%), while the proportion of fresh air decreases (e.g., from 50% to 30%). A high proportion of original air reduces the interference of unregulated external air on the temperature of the experimental area, while reducing the energy consumption of the air supply module. It eliminates the need to process large amounts of fresh air, ensuring that the temperature remains stable near the target value. For example, when the temperature difference drops to 0.3℃ and the odor is normal, the proportion of original air recovers to 80%, and basic air circulation is maintained only by 20% fresh air.

[0160] When the real-time temperature data stabilizes within ±0.3℃ of the target temperature value, and the odor data remains within the preset threshold (e.g., ammonia concentration ≤3ppm) for 5 consecutive minutes, the system locks the current angle of the air supply module, such as 35°, maintaining the ratio of raw air to fresh air, such as 65%:35%. If slight fluctuations occur subsequently, such as a brief increase in temperature difference to 0.4℃ or an increase in odor concentration to 4ppm, fine-tuning is performed by adjusting the angle by a small range of ±5°, such as from 35° to 38°, to avoid temperature or odor instability caused by frequent large adjustments.

[0161] This application also discloses a laboratory temperature control system based on multiple sensors, including a processor that executes the steps of the laboratory temperature control method based on multiple sensors as described in any of the above embodiments.

[0162] This application also discloses a storage medium storing a program that, when executed by a processor, implements the steps of the laboratory temperature control method based on multiple sensors described above.

[0163] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A laboratory temperature control method based on multiple sensors, characterized in that, Includes the following steps: Obtain real-time temperature and target temperature values; A first temperature difference is calculated based on the target temperature value and the real-time temperature value, and the total cooling output power is adjusted based on the first temperature difference. Based on multiple experimental zones, a temperature sensor is set up and a local air duct is established in each experimental zone. A heating module is set at the air inlet of the local air duct and a cooling module is set at the air outlet of the local air duct. The local air ducts of multiple experimental areas are connected in series, and the air outlet of the current local air duct is connected to the air inlet of the next local air duct. Obtain the first temperature value in the experimental area described above and the second temperature value in the current experimental area; The temporary temperature value is calculated based on the first temperature value and the second temperature value; The method for calculating the temporary temperature value is a weighted average algorithm; the formula for calculating the temporary temperature value Tcriminal is: Tcriminal = (W1 × T1 + W2 × T2) / (W1 + W2), where W1 is the weight of the first temperature value T1, W2 is the weight of the second temperature value T2, and W1 + W2 = 1. The second temperature difference is calculated based on the target temperature value and the temporary temperature value; If the absolute value of the second temperature difference is greater than the preset reference difference, then the target temperature value is compared with the temporary temperature value. If the target temperature value is greater than the temporary temperature value, the heat output power of the heating module is adjusted according to the absolute value in a positive correlation; otherwise, the cooling output power of the cooling module is adjusted according to the absolute value in a positive correlation.

2. The laboratory temperature control method based on multiple sensors according to claim 1, characterized in that, The step of calculating the temporary temperature value based on the first temperature value and the second temperature value further includes the following sub-steps: Obtain the culture volume and biological volume within the experimental area, and calculate the temperature control volume based on the culture volume and biological volume; The sum of the temperature control volume of the previous experimental zone and the temperature control volume of the current experimental zone is calculated as the temporary temperature control volume; The weight of the first temperature value is adjusted according to the first ratio between the temperature control volume of the previous experimental zone and the temporary temperature control volume. The larger the first ratio, the larger the weight of the first temperature value; the smaller the first ratio, the smaller the weight of the first temperature value. The weight of the second temperature value is adjusted according to the second ratio between the current temperature-controlled volume and the temporary temperature-controlled volume of the experimental area. The larger the second ratio, the larger the weight of the second temperature value; the smaller the second ratio, the smaller the weight of the second temperature value.

3. The laboratory temperature control method based on multiple sensors according to claim 1, characterized in that, The air inlet is equipped with louvers and a servo driver that drives the louvers to rotate, and the heating module is located on the louvers; the air outlet is also equipped with louvers and a servo driver that drives the louvers to rotate, and the cooling module is located on the louvers. Multiple temperature sensors are installed in the experimental area, and the temperature sensors detect the temperature and generate temperature data. Calculate discrete values ​​for multiple temperature data; If the discrete value is greater than the preset discrete reference value, then the louvers at the air inlet and / or air outlet of the current experimental area are controlled to swing back and forth.

4. The laboratory temperature control method based on multiple sensors according to claim 3, characterized in that, The steps for controlling the reciprocating oscillation of the louvers at the air inlet and / or air outlet of the current experimental area include the following sub-steps: The control cycle and control step size of the louver rotation are adjusted according to the difference between the discrete value and the discrete reference value; the larger the difference, the shorter the control cycle and the larger the control step size, and the smaller the difference, the longer the control cycle and the smaller the control step size.

5. The laboratory temperature control method based on multiple sensors according to claim 3, characterized in that, It also includes the following steps: The start signal for a special operation is obtained through an operation detection device located in the experimental area; Upon receiving the start signal, the louvers at the air inlet and / or air outlet are controlled to rotate at a preset speed to a preset closed position, thereby closing the local air duct. The system obtains the end signal of the special operation through the operation detection device; after receiving the end signal, it controls the louvers to rotate to the normal working position at a preset speed, so that the local air duct can be restored to flow.

6. The laboratory temperature control method based on multiple sensors according to claim 5, characterized in that, The louvers are also equipped with an air supply module, and the method further includes the following steps: While controlling the rotation of the louvers, the power of the air supply module is positively adjusted according to the absolute value or discrete value of the second temperature difference; the larger the absolute value or discrete value of the second temperature difference, the higher the power of the air supply module; the smaller the absolute value or discrete value of the second temperature difference, the lower the power of the air supply module.

7. The laboratory temperature control method based on multiple sensors according to claim 6, characterized in that, The method also includes the following steps: Acquire real-time temperature data within the experimental area; If the absolute value of the difference between the real-time temperature data and the target temperature value is greater than the first preset threshold, the air supply module is controlled to supply air along the direction inside the local air duct. If the absolute value of the difference between the real-time temperature data and the target temperature value is less than or equal to the first preset threshold, the air supply module is controlled to draw air from outside the local air duct into the channel.

8. The laboratory temperature control method based on multiple sensors according to claim 7, characterized in that, The method also includes the following steps: Acquire real-time temperature and odor data within the experimental area; Set the initial angle of the air supply module so that the proportion of original air supplied along the local air duct and the proportion of fresh air drawn in from outside the local air duct are the initial ratios. If the absolute value of the difference between the real-time temperature data and the target temperature value increases or the odor data exceeds the preset odor threshold, the rotation angle of the air supply module will be adjusted to increase the proportion of fresh air and decrease the proportion of original air. If the absolute value of the difference between the real-time temperature data and the target temperature value decreases and the odor data is within the preset odor threshold range, then the rotation angle of the air supply module is adjusted to increase the proportion of original air and decrease the proportion of fresh air. The current angle of the air supply module is maintained until the real-time temperature data reaches the target temperature value and the odor data is stable within the preset odor threshold range.

9. A laboratory temperature control system based on multiple sensors, characterized in that, Includes a processor, wherein the steps of the laboratory temperature control method based on multiple sensors as described in any one of claims 1-8 are executed.

10. A storage medium, characterized in that, The storage medium stores a program that, when executed by a processor, implements the steps of the laboratory temperature control method based on multiple sensors as described in any one of claims 1-8.

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