Intelligent interaction device control method and system

Abstract

The invention relates to the technical field of equipment control, and particularly discloses an intelligent interaction equipment control method and system, and the method comprises the steps: automatically detecting the sealing state of a target container in a reagent cabinet, judging whether the target container has the risk of poor sealing, and setting the early warning time of the target container if the target container has the risk of poor sealing, within the early warning duration, the control end of the reagent cabinet continuously sends out early warning signals in various early warning forms; if no person responds within the early warning duration, the equipment end of the reagent cabinet automatically collects microenvironment data in the reagent cabinet, and the control end of the reagent cabinet autonomously adjusts the microenvironment data in the reagent cabinet; if the leakage of the target container is detected, the control end of the reagent cabinet automatically adjusts the flowing angle and the flowing speed of the airflow in the reagent cabinet according to the real-time monitoring data, so that not only are the safety and the reliability of the reagent cabinet improved, but also the overall operation efficiency and the safety management level of a laboratory can be effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of device control and relates to a method and system for controlling an intelligent interactive device. Background Art

[0002] In a laboratory environment, it is crucial to prevent cross-interference of containers inside the reagent cabinet. The chemicals in each container may have different properties and uses. Once cross-interference occurs, it will not only lead to deviations in experimental results, but may also trigger chemical reactions, produce hazardous substances, and threaten laboratory safety. Therefore, ensuring the independence and safety of each container is one of the core tasks of laboratory management. Through effective isolation and environmental control, the mutual influence between different chemicals can be avoided to ensure the accuracy and safety of the experiment. Especially when storing volatile or reactive substances, preventing cross-interference can protect the health of experimenters, reduce environmental pollution, and ensure the normal operation of laboratory equipment.

[0003] However, current technical means still have some defects and disadvantages in preventing cross-interference of containers inside reagent cabinets. First, many reagent cabinets rely on simple physical isolation and constant temperature and humidity control, and cannot dynamically respond to the specific requirements of different chemicals. This one-size-fits-all environmental control method may not meet the optimal storage conditions for each chemical, resulting in the sealing and stability of some containers being affected. In addition, existing airflow control systems are usually simple in design and cannot be intelligently adjusted according to real-time monitoring data, making it difficult to effectively prevent the spread of harmful gases in the cabinet. Summary of the invention

[0004] In view of the above problems existing in the prior art, the present invention provides an intelligent interactive device control method and system, which aims to improve the safety and intelligence level of the reagent cabinet through innovative air flow interactive control steps, so as to solve the above technical problems.

[0005] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows: In one aspect, the present invention provides a method for controlling an intelligent interactive device, the method comprising the following steps: Step 1: Container sealing status detection: The sealing status of the target container in the reagent cabinet is automatically detected through the sensor network equipped in the reagent cabinet, and it is determined whether the target container has a risk of poor sealing. If it is identified that the target container has a risk of poor sealing, continue to step 2, otherwise jump out of the method loop; Step 2: Setting the warning duration: According to the sealing state of the target container and the characteristics of the reagent stored inside, the warning duration of the target container is set, and within the warning duration, the control end of the reagent cabinet continuously sends out warning signals in various warning forms; Step 3: Adjustment of microenvironment data: If no one responds within the warning time, the equipment end of the reagent cabinet will automatically collect the microenvironment data in the reagent cabinet, and the control end of the reagent cabinet will autonomously adjust the microenvironment data in the reagent cabinet; Step 4: Adjust the airflow angle: If leakage is detected in the target container, the control end of the reagent cabinet will automatically adjust the flow angle and flow speed of the airflow inside the reagent cabinet according to the real-time monitoring data.

[0006] Exemplarily, the operation process of step one is as follows: Step S2-1, using a high-resolution camera in a sensor network in the reagent cabinet to capture an image of the bottle stopper of the target container, and using an edge detection algorithm at the control end of the reagent cabinet to identify the contour of the bottle stopper corresponding to the target container, thereby obtaining a raised height of the bottle stopper corresponding to the target container, and subtracting a preset bottle stopper baseline height from the raised height of the bottle stopper corresponding to the target container to obtain a height difference of the bottle stopper corresponding to the target container; The height difference of the bottle stopper corresponding to the target container is compared with the set height threshold. If the former is greater than the latter, it is determined that the target container has a risk of poor sealing; Step S2-2: If it has been determined in step S2-1 that the target container has a risk of poor sealing, there is no need to perform step S2-3; Step S2-3, based on the sensor network equipped in the reagent cabinet, collect the temperature change value, humidity change value and VOC concentration change value of the target container at the current collection time point corresponding to the previous time point; and then calculate the sealing evaluation coefficient of the target container; The sealing assessment coefficient of the target container is compared with the set container sealing assessment threshold coefficient. If the sealing assessment coefficient of the target container is less than the set container sealing assessment threshold coefficient, the target container is also judged to have a risk of poor sealing.

[0007] For example, the warning duration of the target container is set, and the specific setting logic is as follows: Collect variable values ​​of the target container, which are divided into sealing state score, reagent volatility coefficient, chemical stability coefficient, environmental impact coefficient and reagent hazard coefficient; use character to replace; The warning duration of the target container is calculated accordingly , κ is the set unit time calibration coefficient, is the liquid volume of the target container.

[0008] Exemplarily, the microenvironment data within the reagent cabinet includes temperature, humidity, air pressure, and air flow velocity.

[0009] Exemplarily, the control end of the reagent cabinet autonomously adjusts the microenvironment data in the reagent cabinet, and the specific adjustment process is as follows: Assuming that the leakage time of the target container depends on the temperature, humidity, air pressure and air flow speed of the reagent cabinet, they are constructed into a function, and the function of the leakage time of the target container is SJ=f(T,H,P,V), where T, H, P and V represent the temperature, humidity, air pressure and air flow speed of the reagent cabinet respectively, SJ is the leakage time of the target container, and f(·) represents the mapping function; The temperature value inside the reagent cabinet needs to be adjusted The calculation formula is as follows: ; The humidity value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: ; The air pressure value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: ; The air flow velocity value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: ; In the above formula, k1, k2, k3 and k4 are set adjustment coefficients, which are used to control the adjustment range of temperature, humidity, air pressure and air flow speed respectively; σ, μ, γ, and δ represent the set sensitivity control functions, respectively, where σ is used to control the steepness of the function, μ is used to control the frequency of the cosine function, γ is used to control the sensitivity of the humidity adjustment function, and δ is used to control the sensitivity of the air pressure adjustment function; represent the optimal values ​​of predefined temperature, humidity, air pressure and air velocity, respectively. Respectively represent the critical values ​​of temperature, humidity, air pressure and air flow velocity. Respectively represent the set humidity upper threshold and humidity lower threshold, which are used for normalization processing. Indicates the preset standard air pressure value; S(T), S(H), S(P) and S(V) are the temperature safety function, humidity safety function, air pressure safety function and air flow velocity safety function respectively; Finally, the calculated temperature value, humidity value, air pressure value and air flow speed value that need to be adjusted inside the reagent cabinet are fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet makes corresponding adjustments.

[0010] Exemplarily, the specific calculation formulas of the temperature safety function, humidity safety function, air pressure safety function and air flow speed safety function are as follows: ; ; ; ; In the above formula, e represents a natural constant, η and λ represent the sensitivity of the control temperature adjustment function and the air flow speed adjustment function respectively; They respectively represent the safety thresholds of temperature, humidity, air pressure and air flow speed.

[0011] Exemplarily, the flow velocity of the airflow inside the reagent cabinet is adjusted, and the specific adjustment logic is: Based on the sensor network equipped in the reagent cabinet, the pressure of the target container corresponding to the leakage position and the pressure of the vent corresponding to the reagent cabinet are obtained, and the difference is calculated to obtain the pressure difference △P between the leakage position and the vent; At each time step t, the airflow adjustment flow velocity υ(t) inside the reagent cabinet corresponding to the current time point is calculated based on the real-time monitoring data. The specific calculation formula is as follows: ; Where t represents the current time point, Indicates the maximum airflow velocity of the ventilation device corresponding to the reagent cabinet. Indicates the set adjustment rate coefficient, which is used to control the response speed of the airflow speed; t0 is the adjustment start time point, is the set pressure difference adjustment coefficient, which affects the response of air flow velocity to pressure difference; ρ is the gas density, is the velocity gradient adjustment coefficient, which affects the response of airflow velocity to the change of velocity field; is the divergence of the velocity field, which indicates the rate of change of the volume of the fluid; The adjusted flow velocity υ(t) of the airflow inside the reagent cabinet corresponding to the current time point is fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet performs corresponding adjustment of the flow velocity of the airflow.

[0012] Exemplarily, the flow angle of the airflow inside the reagent cabinet is adjusted, and the specific adjustment logic is: Based on the sensor network in the reagent cabinet, the inclination angle of the position of the vent inside the reagent cabinet corresponding to the leakage position of the target container is obtained, and it is recorded as the target flow angle corresponding to the airflow ; At the same time, based on the sensor network equipped in the reagent cabinet, the gas concentration at the leakage position corresponding to the target container and the corresponding average gas concentration inside the reagent cabinet are obtained, which are recorded as C1 and C2 respectively; At each time step t, the airflow adjustment flow angle θ(t) inside the reagent cabinet corresponding to the current time point is calculated based on the real-time monitoring data. The specific calculation formula is as follows: ; in The angle adjustment sensitivity coefficient of the ventilation device is used to control the sensitivity of the angle adjustment; is the smoothing factor, which is used to smooth the effect of concentration difference on angle adjustment; is the temperature difference adjustment coefficient, which affects the response of the airflow angle to the temperature difference. WD is the temperature difference between the leakage position and the inside of the reagent cabinet at the current time point. WD' is the average ambient temperature inside the reagent cabinet at the current time point. The temperature gradient adjustment coefficient is set, which affects the response of the airflow angle to the temperature gradient; is the temperature gradient, which indicates the angle of temperature change; The adjusted flow angle θ(t) of the airflow inside the reagent cabinet corresponding to the current time point is fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet performs corresponding adjustment of the flow angle of the airflow.

[0013] Another aspect of the present invention provides an intelligent interactive device control system, which includes a container sealing state detection module, a sealing state judgment module, a warning time setting module, a microenvironment data adjustment module and an airflow angle adjustment module, wherein the above modules are connected by wired and / or wireless connection to achieve data transmission between the modules; Container sealing status detection module: Through the sensor network equipped in the reagent cabinet, it automatically detects the sealing status of the target container in the reagent cabinet and determines whether the target container has the risk of poor sealing; Sealing status judgment module: If the target container is identified to have a poor sealing risk, the warning time setting module is executed; otherwise, the container sealing status detection module is continued to be executed; Warning duration setting module: according to the sealing state of the target container and the characteristics of the reagent stored inside, the warning duration of the target container is set, and within the warning duration, the control end of the reagent cabinet continuously sends out warning signals in various warning forms; Micro-environment data adjustment module: If no one responds within the warning time, the equipment end of the reagent cabinet will automatically collect the micro-environment data in the reagent cabinet, and the control end of the reagent cabinet will autonomously adjust the micro-environment data in the reagent cabinet; Airflow angle adjustment module: If it is detected that the target container begins to leak, the control end of the reagent cabinet will automatically adjust the flow angle and flow speed of the airflow inside the reagent cabinet based on real-time monitoring data.

[0014] As described above, the intelligent interactive device control method and system provided by the present invention have at least the following beneficial effects: The present invention provides a method and system for controlling an intelligent interactive device. By automatically detecting the sealing status of a target container, the system can promptly determine whether the container has a risk of poor sealing. Once a poor seal is identified, the system will set a warning duration and continue to send warning signals in various forms during this period. The advantage of this warning mechanism is that it can attract the user's attention at the early stage of the problem, providing sufficient time for intervention, thereby preventing potential chemical leaks and related safety accidents; If no one responds within the warning time, the system will automatically collect micro-environmental data (such as temperature, humidity and gas composition) in the reagent cabinet and adjust these parameters autonomously. The advantage of this is that even without human intervention, the system can actively improve the storage environment and reduce the risk of leakage. This automated environmental adjustment can effectively delay and reduce the volatilization and diffusion of chemicals, protecting other unaffected containers and reagents; When the target container is detected to start leaking, the control end of the reagent cabinet automatically adjusts the flow angle and speed of the internal airflow based on real-time monitoring data. The benefit and necessity of this measure is that by optimizing the airflow, the leaked chemicals can be quickly directed to a safe area or discharged outside the cabinet, reducing the residence time of harmful gases in the cabinet, thereby reducing the risk of contamination to other containers. In addition, adjusting the airflow can effectively prevent the spread of harmful substances between areas in the cabinet, maintaining the independence and safety of the air in different areas; This intelligent airflow control technology solves the problem of traditional reagent cabinets being slow to respond and untimely in the face of chemical leaks. It can make dynamic adjustments based on real-time data in the first place to ensure that leaked substances are handled quickly and safely. This not only improves the safety and reliability of the reagent cabinet, but also significantly reduces the need for manual monitoring and intervention, and improves the overall operating efficiency and safety management level of the laboratory. Through this fully automatic monitoring and response mechanism, the reagent cabinet can provide higher safety protection in complex laboratory environments and reduce potential hazards caused by chemical leaks. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention.

[0017] Figure 2 It is a schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0018] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0019] Example 1 See also Figure 1 As shown, a method for controlling an intelligent interactive device comprises the following steps: Step 1: Container sealing status detection: The sealing status of the target container in the reagent cabinet is automatically detected through the sensor network equipped in the reagent cabinet, and it is determined whether the target container has a risk of poor sealing. If it is identified that the target container has a risk of poor sealing, continue to step 2, otherwise jump out of the method loop; It should be noted that the operation process of step one is as follows: Step S2-1, using a high-resolution camera in a sensor network in the reagent cabinet to capture an image of the bottle stopper of the target container, and using an edge detection algorithm at the control end of the reagent cabinet to identify the contour of the bottle stopper corresponding to the target container, thereby obtaining a raised height of the bottle stopper corresponding to the target container, and subtracting a preset bottle stopper baseline height from the raised height of the bottle stopper corresponding to the target container to obtain a height difference of the bottle stopper corresponding to the target container; The height difference of the bottle stopper corresponding to the target container is compared with the set height threshold. If the former is greater than the latter, it is determined that the target container has a risk of poor sealing; Step S2-2: If it is determined in step S2-1 that the target container does not have a risk of poor sealing, then continue to step S2-3; conversely, if it has been determined in step S2-1 that the target container has a risk of poor sealing, then there is no need to perform step S2-3; Step S2-3: Based on the sensor network in the reagent cabinet, the temperature change value, humidity change value and VOC concentration change value of the target container at the current collection time point corresponding to the previous time point are collected; and then the sealing evaluation coefficient of the target container is calculated; The sealing assessment coefficient of the target container is compared with the set container sealing assessment threshold coefficient. If the sealing assessment coefficient of the target container is less than the set container sealing assessment threshold coefficient, the target container is also judged to have a risk of poor sealing.

[0020] The above-mentioned collection target container has the temperature change value, humidity change value and VOC concentration change value corresponding to the previous time point at the current collection time point. The specific collection logic is: Based on the sensor network deployed in the reagent cabinet, where the sensor network covers the entire internal area of ​​the reagent cabinet, the temperature value, humidity value and VOC concentration value of the sensor network at the current collection time point are obtained, and through spatial interpolation technology (such as Kriging interpolation) and data fusion algorithm (such as Kalman filtering), combined with the position coordinates corresponding to the target container, the temperature value, humidity value and VOC concentration value of the target container can be accurately estimated, thereby obtaining the temperature value, humidity value and VOC concentration value of the target container at the current collection time point; Similarly, the temperature value, humidity value and VOC concentration value of the target container at the current collection time point corresponding to the previous time point are obtained, and the temperature change value, humidity change value and VOC concentration change value of the target container at the current collection time point corresponding to the previous time point can be further calculated.

[0021] The calculation formula for the sealing evaluation coefficient of the above-mentioned target container is as follows: The temperature change value, humidity change value and VOC concentration change value of the target container at the current collection time point corresponding to the previous time point are recorded as ; The sealing evaluation factor of the target container is calculated from this , Respectively represent the weighted values ​​of temperature change, humidity change and VOC concentration change in the overall sealing evaluation coefficient, and meet the , They are the maximum allowable value of temperature change, the maximum allowable value of humidity change and the maximum allowable value of VOC concentration change, respectively. A sealing assessment coefficient of the target container of 0 indicates that it is completely unsealed, and a sealing assessment coefficient of 1 indicates that it is completely sealed.

[0022] Step 2: Setting the warning duration: According to the sealing state of the target container and the characteristics of the reagent stored inside, the warning duration of the target container is set, and within the warning duration, the control end of the reagent cabinet continuously sends out warning signals in various warning forms; It should be noted that the specific setting logic for setting the warning duration of the target container is as follows: Collect variable values ​​of the target container, which are divided into sealing state score, reagent volatility coefficient, chemical stability coefficient, environmental impact coefficient and reagent hazard coefficient; use character to replace; The warning duration of the target container is calculated accordingly , κ is the set unit time calibration coefficient, is the liquid volume of the target container.

[0023] The environmental impact coefficient is obtained by real-time monitoring of the environmental conditions in the reagent cabinet through a sensor network, including data from temperature sensors, humidity sensors, and gas concentration sensors. Combined with these data, the impact of the current environment on the stability of chemicals is analyzed using a preset algorithm model (such as a linear regression model: used to analyze the linear relationship between temperature, humidity, and reagent stability), thereby calculating the environmental impact coefficient. This coefficient reflects the comprehensive impact of environmental conditions on the safe storage of reagents.

[0024] Larger volumes of liquid may result in more leaks or reactions, and the warning time needs to be shortened to ensure safety; The sealing status score and chemical stability coefficient directly affect the safety and stability of chemicals. The higher the score, the longer the warning time; The volatility coefficient of the reagent indicates the volatility of the chemical. The higher the volatility, the shorter the warning time. Therefore, the formula uses To reduce the impact of high volatility on warning duration; The environmental impact factor reflects the impact of the external environment on the stability of chemicals. The more unfavorable the environment, the shorter the warning time; The reagent hazard factor takes into account the risk level of the chemical itself. The higher the risk, the shorter the warning time.

[0025] By setting the warning time according to the sealing status of the target container and the characteristics of the reagent stored inside, the specific benefits are as follows: First, different reagents have different chemical properties and reactivity. Some reagents may evaporate quickly or react dangerously when exposed to air. Therefore, setting the warning time based on the characteristics of the reagents can effectively reduce potential risks. For example, for volatile or oxidizable reagents, shorten the warning time so that timely measures can be taken to prevent leakage or reaction. Secondly, the sealing status is a key factor affecting the safe storage of reagents. Poorly sealed containers are more likely to cause reagents to leak or contaminate the surrounding environment. By monitoring the sealing status of the container in real time, the system can dynamically adjust the warning time to ensure that when the sealing status deteriorates, an alarm can be quickly issued to remind the user to take necessary intervention measures. This dynamic adjustment mechanism not only improves safety, but also optimizes the management efficiency of the laboratory; In addition, it can help laboratory personnel allocate attention and resources reasonably. Through the intelligent early warning system, laboratory managers can prioritize high-risk reagents and containers without wasting time on low-risk items. This priority management not only improves work efficiency, but also reduces the possibility of human error.

[0026] It should be added that the various warning forms include but are not limited to the following: Sound and light alarm: buzzer and flashing light reminder; Mobile device notifications: Send alerts to users via SMS, email, or dedicated apps; Network Alarm: Send alarm information to networked security systems or control centers.

[0027] Step 3: Adjustment of microenvironment data: If no one responds within the warning time, the equipment end of the reagent cabinet will automatically collect the microenvironment data in the reagent cabinet, and the control end of the reagent cabinet will autonomously adjust the microenvironment data in the reagent cabinet; It should be added that the logic for judging that no one responds within the warning time is: The reagent cabinet uses facial recognition and RFID recognition technology to continuously monitor the opening and closing status of the cabinet door and the activities of nearby personnel within the warning period. If the system does not detect the facial recognition or RFID tag of an authorized person approaching the cabinet door within the set warning period, it is judged that no one responds.

[0028] It should be noted that the microenvironment data in the reagent cabinet includes temperature, humidity, air pressure and air flow velocity.

[0029] It should be noted that the control end of the reagent cabinet autonomously adjusts the microenvironment data in the reagent cabinet. The specific adjustment process is as follows: Assuming that the leakage time of the target container depends on the temperature, humidity, air pressure and air flow velocity of the reagent cabinet, they are constructed into a function, and the function of the leakage time of the target container is set to SJ=f(T,H,P,V), where T, H, P and V represent the temperature, humidity, air pressure and air flow velocity of the reagent cabinet, respectively, SJ is the leakage time of the target container, and f(·) represents the mapping function.

[0030] It is assumed that the leakage time of the target container depends on the temperature, humidity, air pressure and air flow rate of the reagent cabinet. This assumption is valid for the following reasons: Temperature has a significant impact on the physical state of chemicals and the properties of container materials. High temperatures may cause container materials to expand or soften, increasing the risk of leakage. At the same time, increased temperatures may accelerate the volatilization of chemicals and shorten the leakage time; Humidity can affect the stability of some chemicals, especially hygroscopic substances. High humidity may cause the aging or failure of container seals, thereby increasing the possibility of leakage; Changes in air pressure may cause changes in the pressure difference between the inside and outside of the container, affecting the sealing performance. Especially in the case of sudden changes in air pressure, the container may be more prone to leakage; Air flow velocity has a significant impact on the volatilization of chemicals. Higher air flow velocity may accelerate the diffusion and leakage of chemicals, and may also exert additional physical pressure on container seals; These factors work together to affect the sealing state of the container and the stability of the chemical. Therefore, it is realistic to assume that the leakage time depends on these environmental parameters. By accurately controlling these parameters in the reagent cabinet, the leakage time of the container can be effectively extended.

[0031] The temperature value inside the reagent cabinet needs to be adjusted The calculation formula is as follows: ; The second term in the calculation formula for the temperature value that needs to be adjusted inside the above reagent cabinet represents the sensitivity of the leakage time to the ambient temperature. By calculating the partial derivative, the impact of temperature change on the leakage time can be determined; the third term is used to smoothly adjust the temperature to make it closer to the optimal temperature value. This function provides smooth nonlinear adjustment to ensure that the temperature adjustment is not too drastic; the fourth term is the cosine function term, which is used to provide additional adjustment near the critical temperature. The cosine function makes the adjustment near the critical point more significant; S (T) is to prevent temperature changes from having a negative impact on other container bottles in the reagent cabinet.

[0032] The humidity value inside the reagent cabinet needs to be adjusted The calculation formula is as follows: ; The second term in the calculation formula for the humidity value that needs to be adjusted inside the above reagent cabinet represents the sensitivity of the leakage time to the ambient humidity. By calculating the partial derivative, the impact of humidity changes on the leakage time can be determined; the third term is a sinusoidal function term, which is used to smoothly adjust the humidity to the optimal humidity value to ensure that the humidity adjustment is not too drastic; the fourth term is a logarithmic function term, which is used to provide additional adjustments near the critical humidity value; the logarithmic function ensures that the adjustment near the critical point is more significant; S(H) is to prevent humidity changes from having a negative impact on other containers.

[0033] The air pressure value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: ; The second term in the calculation formula for the air pressure value that needs to be adjusted inside the reagent cabinet above indicates the degree of influence of air pressure on leakage time. The negative sign indicates that increasing air pressure will reduce leakage time (assuming that too high air pressure is not conducive to sealing); the third term is a logarithmic function term, which is used to adjust the response intensity, indicating that when the air pressure deviates from the optimal value, the adjustment intensity will increase; the fourth term is the enhanced response to the critical air pressure, indicating that when the air pressure approaches the critical value, the adjustment intensity will be greater.

[0034] The air flow velocity value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: .

[0035] In the above formula, k1, k2, k3 and k4 are set adjustment coefficients, which are used to control the adjustment range of temperature, humidity, air pressure and air flow speed respectively; σ, μ, γ, and δ represent the set sensitivity control functions, respectively, where σ is used to control the steepness of the function, μ is used to control the frequency of the cosine function, γ is used to control the sensitivity of the humidity adjustment function, and δ is used to control the sensitivity of the air pressure adjustment function; The role of σ is to determine the sensitivity of temperature adjustment to deviations from the optimal temperature value. A larger σ will make the function more sensitive to small deviations, resulting in more drastic adjustments. The role of μ is to determine the intensity of adjustments near the critical temperature. A larger μ will make adjustments near the critical point more frequent and significant. The role of γ is to control the response speed of the humidity adjustment function to deviations from the optimal humidity value. The role of δ is to adjust the degree of influence of air pressure changes on leakage time, ensuring appropriate adjustments when air pressure changes. represent the optimal values ​​of predefined temperature, humidity, air pressure and air velocity, respectively. Respectively represent the critical values ​​of temperature, humidity, air pressure and air flow velocity. Respectively represent the set humidity upper threshold and humidity lower threshold, which are used for normalization processing. Indicates the preset standard air pressure value; S(T), S(H), S(P) and S(V) are the temperature safety function, humidity safety function, air pressure safety function and air flow velocity safety function respectively; The role of S (T) is to prevent the temperature from changing too much or beyond the safety limit, and to protect the stability of the container and reagents; the role of S (H) is to prevent the humidity from being too high or too low, so as to avoid affecting the sealing and contents of the container; the role of S (P) is to prevent the air pressure from changing too much, which may affect the structural integrity and sealing of the container; the role of S (V) is to prevent environmental disturbances caused by excessive airflow speed, which may affect the stability of the container. The main purpose of the above safety functions is to provide a protection mechanism when adjusting environmental parameters to ensure that all adjustments are made within a safe and reasonable range to prevent adverse effects on other containers; Finally, the calculated temperature value, humidity value, air pressure value and air flow speed value that need to be adjusted inside the reagent cabinet are fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet makes corresponding adjustments.

[0036] It should be noted that the specific calculation formulas for the temperature safety function, humidity safety function, air pressure safety function and air flow speed safety function are as follows: ; ; ; ; In the above formula, e represents a natural constant, η and λ represent the sensitivity of the control temperature adjustment function and the air flow speed adjustment function respectively; They respectively represent the safety thresholds of temperature, humidity, air pressure and air flow speed.

[0037] in The setting process is as follows: Mark all containers in the reagent cabinet except the target container as other containers, and collect the optimal storage temperature range, optimal storage humidity range, optimal storage pressure range, and optimal storage air flow speed range of each other container; Perform intersection calculation on the optimal storage temperature ranges of other containers, and obtain the center point value of the intersection temperature range as the set temperature safety threshold; The safety thresholds of the set humidity, air pressure and air flow speed are obtained similarly based on the safety threshold of the set temperature.

[0038] Step 4: Adjust the airflow angle: If leakage is detected in the target container, the control end of the reagent cabinet will automatically adjust the flow angle and flow speed of the airflow inside the reagent cabinet according to the real-time monitoring data.

[0039] It should be added that the detection logic for detecting that the target container begins to leak is: In the reagent cabinet, a network of sensors is deployed to monitor the temperature, humidity and gas composition around the target container in real time. When the sensor detects abnormal changes, such as excessive gas concentration or a sudden increase in humidity, the AI ​​algorithm is used to analyze the data to identify whether there are signs of chemical leaks.

[0040] It should be noted that the specific adjustment logic for adjusting the flow rate of the airflow inside the reagent cabinet is as follows: Based on the sensor network equipped in the reagent cabinet, the pressure of the target container corresponding to the leakage position and the pressure of the vent corresponding to the reagent cabinet are obtained, and the difference is calculated to obtain the pressure difference △P between the leakage position and the vent; At each time step t, the airflow adjustment flow velocity υ(t) inside the reagent cabinet corresponding to the current time point is calculated based on the real-time monitoring data. The specific calculation formula is as follows: ; Where t represents the current time point, Indicates the maximum airflow velocity of the ventilation device corresponding to the reagent cabinet. Indicates the set adjustment rate coefficient, which is used to control the response speed of the airflow speed; t0 is the start time point of adjustment, is the set pressure difference adjustment coefficient, which affects the response of air flow velocity to pressure difference; ρ is the gas density, is the velocity gradient adjustment coefficient, which affects the response of airflow velocity to the change of velocity field; is the divergence of the velocity field, which indicates the rate of change of the volume of the fluid; The adjusted flow velocity υ(t) of the airflow inside the reagent cabinet corresponding to the current time point is fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet performs corresponding adjustment of the flow velocity of the airflow.

[0041] It should be noted that the specific adjustment logic for adjusting the flow angle of the airflow inside the reagent cabinet is as follows: Based on the sensor network in the reagent cabinet, the inclination angle of the position of the vent inside the reagent cabinet corresponding to the leakage position of the target container is obtained, and it is recorded as the target flow angle corresponding to the airflow ; At the same time, based on the sensor network equipped in the reagent cabinet, the gas concentration at the leakage position corresponding to the target container and the corresponding average gas concentration inside the reagent cabinet are obtained, which are recorded as C1 and C2 respectively; At each time step t, the airflow adjustment flow angle θ(t) inside the reagent cabinet corresponding to the current time point is calculated based on the real-time monitoring data. The specific calculation formula is as follows: ; in The angle adjustment sensitivity coefficient of the ventilation device is used to control the sensitivity of the angle adjustment; is the smoothing factor, which is used to smooth the effect of concentration difference on angle adjustment; is the temperature difference adjustment coefficient, which affects the response of the airflow angle to the temperature difference. WD is the temperature difference between the leakage position and the inside of the reagent cabinet at the current time point. WD' is the average ambient temperature inside the reagent cabinet at the current time point. The temperature gradient adjustment coefficient is set, which affects the response of the airflow angle to the temperature gradient; is the temperature gradient, which indicates the angle of temperature change; The adjusted flow angle θ(t) of the airflow inside the reagent cabinet corresponding to the current time point is fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet performs corresponding adjustment of the flow angle of the airflow.

[0042] Example 2 See also Figure 2 As shown, a smart interactive device control system includes a container sealing state detection module, a sealing state judgment module, a warning time setting module, a microenvironment data adjustment module and an airflow angle adjustment module, and the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; The sealing state judgment module is connected to the container sealing state detection module and the warning time setting module respectively, the warning time setting module is connected to the sealing state judgment module and the microenvironment data adjustment module respectively, and the airflow angle adjustment module is connected to the microenvironment data adjustment module; Container sealing status detection module: Through the sensor network equipped in the reagent cabinet, it automatically detects the sealing status of the target container in the reagent cabinet and determines whether the target container has the risk of poor sealing; Sealing status judgment module: If the target container is identified to have a poor sealing risk, the warning time setting module is executed; otherwise, the container sealing status detection module is continued to be executed; Warning duration setting module: according to the sealing state of the target container and the characteristics of the reagent stored inside, the warning duration of the target container is set, and within the warning duration, the control end of the reagent cabinet continuously sends out warning signals in various warning forms; Micro-environment data adjustment module: If no one responds within the warning time, the equipment end of the reagent cabinet will automatically collect the micro-environment data in the reagent cabinet, and the control end of the reagent cabinet will autonomously adjust the micro-environment data in the reagent cabinet; Airflow angle adjustment module: If it is detected that the target container begins to leak, the control end of the reagent cabinet will automatically adjust the flow angle and flow speed of the airflow inside the reagent cabinet based on real-time monitoring data.

[0043] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0044] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0045] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0046] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for controlling an intelligent interactive device, characterized in that: include: Step 1: Container sealing status detection: The sealing status of the target container in the reagent cabinet is automatically detected through the sensor network equipped in the reagent cabinet, and it is determined whether the target container has a risk of poor sealing. If it is identified that the target container has a risk of poor sealing, continue to step 2, otherwise jump out of the method loop; Step 2: Setting the warning duration: According to the sealing state of the target container and the characteristics of the reagent stored inside, the warning duration of the target container is set, and within the warning duration, the control end of the reagent cabinet continuously sends out warning signals in various warning forms; Step 3: Adjustment of microenvironment data: If no one responds within the warning time, the equipment end of the reagent cabinet will automatically collect the microenvironment data in the reagent cabinet, and the control end of the reagent cabinet will autonomously adjust the microenvironment data in the reagent cabinet; Step 4: Adjust the airflow angle: If leakage is detected in the target container, the control end of the reagent cabinet will automatically adjust the flow angle and flow speed of the airflow inside the reagent cabinet according to the real-time monitoring data.

2. The intelligent interactive device control method according to claim 1, characterized in that: The operation process of step one is as follows: Step S2-1, using a high-resolution camera in a sensor network in the reagent cabinet to capture an image of the bottle stopper of the target container, and using an edge detection algorithm at the control end of the reagent cabinet to identify the contour of the bottle stopper corresponding to the target container, thereby obtaining a raised height of the bottle stopper corresponding to the target container, and subtracting a preset bottle stopper baseline height from the raised height of the bottle stopper corresponding to the target container to obtain a height difference of the bottle stopper corresponding to the target container; The height difference of the bottle stopper corresponding to the target container is compared with the set height threshold. If the former is greater than the latter, it is determined that the target container has a risk of poor sealing; Step S2-2: If it has been determined in step S2-1 that the target container has a risk of poor sealing, there is no need to perform step S2-3; Step S2-3: Based on the sensor network in the reagent cabinet, the temperature change value, humidity change value and VOC concentration change value of the target container at the current collection time point corresponding to the previous time point are collected; and then the sealing evaluation coefficient of the target container is calculated; The sealing assessment coefficient of the target container is compared with the set container sealing assessment threshold coefficient. If the sealing assessment coefficient of the target container is less than the set container sealing assessment threshold coefficient, the target container is also judged to have a risk of poor sealing.

3. The intelligent interactive device control method according to claim 1, characterized in that: Set the warning duration of the target container. The specific setting logic is as follows: Collect variable values ​​of the target container, which are divided into sealing state score, reagent volatility coefficient, chemical stability coefficient, environmental impact coefficient and reagent hazard coefficient; use character to replace; The warning duration of the target container is calculated accordingly , κ is the set unit time calibration coefficient, is the liquid volume of the target container.

4. The intelligent interactive device control method according to claim 1, characterized in that: The microenvironment data inside the reagent cabinet include temperature, humidity, air pressure and air flow velocity.

5. The intelligent interactive device control method according to claim 4, characterized in that: The control end of the reagent cabinet autonomously adjusts the microenvironment data in the reagent cabinet. The specific adjustment process is as follows: Assuming that the leakage time of the target container depends on the temperature, humidity, air pressure and air flow speed of the reagent cabinet, they are constructed into a function, and the function of the leakage time of the target container is SJ=f(T,H,P,V), where T, H, P and V represent the temperature, humidity, air pressure and air flow speed of the reagent cabinet respectively, SJ is the leakage time of the target container, and f(·) represents the mapping function; The temperature value inside the reagent cabinet needs to be adjusted The calculation formula is as follows: ； The humidity value inside the reagent cabinet needs to be adjusted The calculation formula is as follows: ； The air pressure value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: ； The air flow velocity value that needs to be adjusted inside the reagent cabinet The calculation formula is as follows: ； In the above formula, k1, k2, k3 and k4 are set adjustment coefficients, which are used to control the adjustment range of temperature, humidity, air pressure and air flow speed respectively; σ, μ, γ, and δ represent the set sensitivity control functions, respectively, where σ is used to control the steepness of the function, μ is used to control the frequency of the cosine function, γ is used to control the sensitivity of the humidity adjustment function, and δ is used to control the sensitivity of the air pressure adjustment function; represent the optimal values ​​of predefined temperature, humidity, air pressure and air velocity, respectively. Respectively represent the critical values ​​of temperature, humidity, air pressure and air flow velocity. Respectively represent the set humidity upper threshold and humidity lower threshold, which are used for normalization processing. Indicates the preset standard air pressure value; S(T), S(H), S(P) and S(V) are the temperature safety function, humidity safety function, air pressure safety function and air flow velocity safety function respectively; Finally, the calculated temperature value, humidity value, air pressure value and air flow speed value that need to be adjusted inside the reagent cabinet are fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet makes corresponding adjustments.

6. The intelligent interactive device control method according to claim 5, characterized in that: The specific calculation formulas for the temperature safety function, humidity safety function, air pressure safety function, and air flow speed safety function are as follows: ； ； ； ； In the above formula, e represents a natural constant, η and λ represent the sensitivity of the control temperature adjustment function and the air flow speed adjustment function respectively; They respectively represent the safety thresholds of temperature, humidity, air pressure and air flow speed.

7. The intelligent interactive device control method according to claim 1, characterized in that: Adjust the flow rate of the airflow inside the reagent cabinet. The specific adjustment logic is: Based on the sensor network equipped in the reagent cabinet, the pressure of the target container corresponding to the leakage position and the pressure of the vent corresponding to the reagent cabinet are obtained, and the difference is calculated to obtain the pressure difference △P between the leakage position and the vent; At each time step t, the airflow adjustment flow velocity υ(t) inside the reagent cabinet corresponding to the current time point is calculated based on the real-time monitoring data. The specific calculation formula is as follows: ； Where t represents the current time point, Indicates the maximum airflow velocity of the ventilation device corresponding to the reagent cabinet. Indicates the set adjustment rate coefficient, which is used to control the response speed of the airflow speed; t0 is the adjustment start time point, is the set pressure difference adjustment coefficient, which affects the response of air flow velocity to pressure difference; ρ is the gas density, is the velocity gradient adjustment coefficient, which affects the response of airflow velocity to the change of velocity field; is the divergence of the velocity field, which indicates the rate of change of the volume of the fluid; The adjusted flow velocity υ(t) of the airflow inside the reagent cabinet corresponding to the current time point is fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet performs corresponding adjustment of the flow velocity of the airflow.

8. The intelligent interactive device control method according to claim 7, characterized in that: Adjust the flow angle of the airflow inside the reagent cabinet. The specific adjustment logic is: Get the inclination angle of the position of the vent inside the reagent cabinet corresponding to the leakage position of the target container, and record it as the target flow angle corresponding to the airflow ; At the same time, based on the sensor network equipped in the reagent cabinet, the gas concentration at the leakage position corresponding to the target container and the corresponding average gas concentration inside the reagent cabinet are obtained, which are recorded as C1 and C2 respectively; At each time step t, the airflow adjustment flow angle θ(t) inside the reagent cabinet corresponding to the current time point is calculated based on the real-time monitoring data. The specific calculation formula is as follows: ； in The angle adjustment sensitivity coefficient of the ventilation device is used to control the sensitivity of the angle adjustment; is the smoothing factor, which is used to smooth the effect of concentration difference on angle adjustment; is the temperature difference adjustment coefficient, which affects the response of the airflow angle to the temperature difference. WD is the temperature difference between the leakage position and the inside of the reagent cabinet at the current time point. WD' is the average ambient temperature inside the reagent cabinet at the current time point. The temperature gradient adjustment coefficient is set, which affects the response of the airflow angle to the temperature gradient; is the temperature gradient, which indicates the angle of temperature change; The adjusted flow angle θ(t) of the airflow inside the reagent cabinet corresponding to the current time point is fed back to the control end of the reagent cabinet, and then the control end of the reagent cabinet performs corresponding adjustment of the flow angle of the airflow.

9. An intelligent interactive device control system, characterized in that: The method is implemented based on a smart interactive device control method according to any one of claims 1 to 8, and includes: Container sealing status detection module: Through the sensor network equipped in the reagent cabinet, it automatically detects the sealing status of the target container in the reagent cabinet and determines whether the target container has the risk of poor sealing; Sealing status judgment module: If the target container is identified to have a poor sealing risk, the warning time setting module is executed; otherwise, the container sealing status detection module is continued to be executed; Warning duration setting module: according to the sealing state of the target container and the characteristics of the reagent stored inside, the warning duration of the target container is set, and within the warning duration, the control end of the reagent cabinet continuously sends out warning signals in various warning forms; Micro-environment data adjustment module: If no one responds within the warning time, the equipment end of the reagent cabinet will automatically collect the micro-environment data in the reagent cabinet, and the control end of the reagent cabinet will autonomously adjust the micro-environment data in the reagent cabinet; Airflow angle adjustment module: If it is detected that the target container begins to leak, the control end of the reagent cabinet will automatically adjust the flow angle and flow speed of the airflow inside the reagent cabinet based on real-time monitoring data.

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