Automatic early warning method and system for preventing waste liquid collection container from being full and overflowing

Abstract

The invention relates to an automatic early warning method and system for preventing a waste liquid collecting container from being full and overflowing, and belongs to the field of inspection and detection.The automatic early warning method comprises the following steps that (1) a plurality of temperature sensors are installed at the positions, close to a container opening, of the waste liquid collecting container and used for monitoring temperature distribution in a barrel in real time; (2) collecting initial data; (3) real-time data monitoring; (4) analyzing temperature change; (5) liquid level height estimation: estimating the height of the liquid level according to the temperature change degree and a known temperature-height relation model; (6) early warning threshold judgment; (7) early warning information is sent; and (8) a user feedback mechanism: after an operator receives the early warning information, carrying out field confirmation, and feeding back an operation result to the system. The waste liquid collecting device has the advantages that the temperature sensing device is installed at the position of the container opening of the waste liquid collecting container, the interface temperature in the bottle is monitored in real time, when waste liquid is increased and the liquid level rises to the monitoring interface, the device can monitor that the temperature drops suddenly, and then early warning prompt information is automatically sent to a designated mobile phone terminal, so that an operator can transfer the waste liquid in time, and the working efficiency is improved. And personal health and environmental safety are guaranteed.

Description

Technical Field

[0001] The invention relates to an automatic early warning method and a system for preventing a waste liquid collection container from being full and overflowing, and belongs to the field of inspection and detection. Background Art

[0002] As one of the main wastes generated during the inspection and testing process, the correct treatment of waste liquid is crucial to protecting human health and environmental safety. Since waste liquid usually contains chemical components, heavy metals, radioactive substances or other harmful substances, if it is not handled properly, it will not only pose a threat to the health of operators, but also may cause environmental pollution and ecological damage.

[0003] In the traditional waste liquid collection process, manual monitoring and operation are usually relied on, which requires operators to keep an eye on the liquid level in the waste liquid barrel so that the waste liquid can be transferred and processed in time. However, this method has many shortcomings, especially during non-working hours or when personnel are negligent, the risk of waste liquid overflow is greatly increased. Once the waste liquid overflows, it is not only time-consuming and laborious to clean up, but it may also cause long-term pollution to the surrounding environment. Summary of the invention

[0004] In order to overcome the defects of the prior art, the present invention provides an automatic early warning method to prevent the waste liquid collection container from overflowing. The technical solution of the present invention is:

[0005] An automatic early warning method for preventing a waste liquid collection container from overflowing due to being filled up comprises the following steps:

[0006] (1) installing a plurality of temperature sensors near the container opening of the waste liquid collection container, wherein the plurality of temperature sensors form a temperature monitoring array for real-time monitoring of the temperature distribution in the barrel;

[0007] (2) Initial data collection: Collect and record the temperature distribution data of the waste liquid collection container in the empty state as the baseline data;

[0008] (3) Real-time data monitoring: As waste liquid is added, the temperature changes in the waste liquid container are continuously monitored. Due to the different heat capacities of the waste liquid and the air in the container, the rising liquid level will cause the temperature of the contact surface to change;

[0009] (4) Temperature change analysis: By comparing the real-time monitored temperature with the baseline data, the temperature change pattern is analyzed. When a sudden drop in temperature is detected, it indicates that the liquid level has risen to a position close to the sensor;

[0010] (5) Liquid level estimation: Estimate the liquid level based on the degree of temperature change and the known temperature-height relationship model;

[0011] (6) Warning threshold judgment: set a warning threshold. When the estimated liquid level reaches the threshold, it is determined that the waste liquid tank is about to overflow.

[0012] (7) Warning information transmission: Once the warning threshold is reached, a warning message is automatically sent to the designated mobile phone. The warning message sent includes the estimated value of the liquid level and the recommended operating measures;

[0013] (8) User feedback mechanism: After receiving the warning information, the operator conducts on-site confirmation and feeds back the operation results to the system.

[0014] The step (2) is specifically as follows: collecting and recording the temperature distribution data of the waste liquid container in an empty state, assuming that the readings of all temperature sensors are T1, T2, ..., T n , where n is the number of temperature sensors, and the temperature distribution data serves as a benchmark for subsequent temperature change analysis.

[0015] The step (3) is specifically as follows:

[0016] As the waste liquid is added, the real-time temperature data of each sensor is continuously collected. Assume that the real-time collected temperature data is T1′, T2′, …, T n ′;

[0017] For each sensor, calculate its temperature change: ΔT i =T′ i -T i ; Where ΔTi is the temperature change value of the i-th sensor.

[0018] The step (4) is specifically as follows:

[0019] Temperature change threshold: Set a temperature change threshold ΔT th , if the temperature change value of a temperature sensor is ΔT i Less than ΔT th , it is considered that the liquid surface has contacted the temperature sensor; Temperature change trend: Analyze the temperature change trend of multiple consecutive sensors. If the temperature change value of the temperature sensor from the bottom to the top gradually decreases, and the temperature change value of at least one temperature sensor is less than ΔT th , the liquid level is considered to be rising.

[0020] The step (5) is specifically as follows:

[0021] 5.1 Temperature change weighting:

[0022] First, the temperature sensors at different locations have different sensitivities to the liquid level changes, and a weight wi is assigned to each sensor, which is determined based on the location of the temperature sensor and the thermal conductivity characteristics of the waste liquid;

[0023] 5.2 Weighted summation of temperature changes: Use weighted temperature change values ​​to more accurately reflect the liquid level, specifically: ΔT′ i =w i ΔT i ;

[0024] 5.3 Establishment of temperature-height model: Establish a relationship model between temperature and liquid level. Assume that in the absence of waste liquid, the temperature distribution in the barrel is linear, that is: T = m·d i +b, where T is the temperature, d i is the vertical distance from the sensor to the bottom of the bucket, m is the temperature gradient, and b is the intercept;

[0025] 5.4 Relationship between temperature change and liquid level:

[0026] When waste liquid is added, the temperature changes ΔT i Liquid level h i The relationship between is expressed as: △T i = k·(d i -h i ) where k is a proportionality constant that depends on the heat transfer properties of the waste liquid and the air in the container;

[0027] 5.5 Iterative solution of liquid level: Use iterative method to solve, set the initial estimated liquid level as H(0), and then iteratively update:

[0028] 5.6 Convergence condition setting: Set a convergence threshold ∈. When the liquid level change in two consecutive iterations is less than ∈, it is considered to have converged: |H (+1) -H (t) |<∈;

[0029] 5.7 Dynamic adjustment of temperature distribution: The addition of waste liquid will change the temperature distribution in the container. A dynamic adjustment factor α is introduced to adjust the temperature gradient m and intercept b:

[0030] m'=m·(1+α)

[0031] b′=b·(1+α);

[0032] 5.8 Update of temperature-height model: Re-establish the temperature-height model using the adjusted temperature gradient and intercept, and repeat the above iterative process until the convergence condition is met.

[0033] 5.9 Final estimation of liquid level:

[0034] Finally, when the iterative process converges, the obtained liquid level H is the estimated height of the waste liquid in the barrel.

[0035] The step (6) is specifically as follows: setting a liquid level warning threshold H th If the estimated liquid level H approaches or exceeds H th , it is considered that the waste liquid container is about to overflow and an early warning is issued.

[0036] An automatic early warning system to prevent a waste liquid collection container from overflowing due to being filled, comprising:

[0037] An initial data collection module is used to collect and record temperature distribution data of the waste liquid collection container in an empty state as a reference data;

[0038] The real-time data monitoring module is used to continuously monitor the temperature changes in the waste liquid container. Due to the different heat capacities of the waste liquid and the air in the container, the rising liquid level will cause the temperature of the contact surface to change;

[0039] The temperature change analysis module is used to analyze the temperature change pattern by comparing the real-time monitored temperature with the baseline data. When a sudden drop in temperature is detected, it indicates that the liquid level has risen to a position close to the sensor;

[0040] A liquid level estimation module is used to estimate the height of the liquid level according to the degree of temperature change and a known temperature-height relationship model;

[0041] The warning threshold judgment module is used to set a warning threshold. When the estimated liquid level reaches the threshold, it is determined that the waste liquid tank is about to overflow;

[0042] The warning information sending module is used to automatically send warning information to the designated mobile phone terminal once the warning threshold is reached. The warning information sent includes the estimated value of the liquid level and the recommended operating measures;

[0043] The user feedback mechanism module is used for operators to conduct on-site confirmation after receiving early warning information and to feedback the operation results to the system.

[0044] The advantages of the present invention are: by installing a temperature sensor device at the container mouth of the waste liquid collection container, the interface temperature inside the bottle is monitored in real time. When the waste liquid increases and the liquid level rises to the monitoring interface, the device will detect the sudden drop in temperature and automatically send an early warning prompt message to the designated mobile phone terminal, so that the operator can transfer the waste liquid in time to ensure personal health and environmental safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of the main structure of the system of the present invention. DETAILED DESCRIPTION

[0046] The present invention will be further described below in conjunction with specific embodiments, and the advantages and features of the present invention will become clearer as the description proceeds. However, these embodiments are exemplary only and do not constitute any limitation to the scope of the present invention. It should be understood by those skilled in the art that the details and forms of the technical solution of the present invention may be modified or replaced without departing from the spirit and scope of the present invention, but these modifications and replacements all fall within the scope of protection of the present invention.

[0047] The present invention relates to an automatic early warning method for preventing a waste liquid collection container from being full and overflowing, comprising the following steps:

[0048] (1) installing a plurality of temperature sensors near the container opening of the waste liquid collection container, wherein the plurality of temperature sensors form a temperature monitoring array for real-time monitoring of the temperature distribution in the barrel;

[0049] (2) Initial data collection: Collect and record the temperature distribution data of the waste liquid collection container in the empty state as the baseline data;

[0050] (3) Real-time data monitoring: As waste liquid is added, the temperature changes in the waste liquid container are continuously monitored. Due to the different heat capacities of the waste liquid and the air in the container, the rising liquid level will cause the temperature of the contact surface to change;

[0051] (4) Temperature change analysis: By comparing the real-time monitored temperature with the baseline data, the temperature change pattern is analyzed. When a sudden drop in temperature is detected, it indicates that the liquid level has risen to a position close to the sensor;

[0052] (5) Liquid level estimation: Estimate the liquid level based on the degree of temperature change and the known temperature-height relationship model;

[0053] (6) Warning threshold judgment: set a warning threshold. When the estimated liquid level reaches the threshold, it is determined that the waste liquid tank is about to overflow.

[0054] (7) Warning information transmission: Once the warning threshold is reached, a warning message is automatically sent to the designated mobile phone. The warning message sent includes the estimated value of the liquid level and the recommended operating measures;

[0055] (8) User feedback mechanism: After receiving the warning information, the operator conducts on-site confirmation and feeds back the operation results to the system.

[0056] Based on the arrangement of the present invention, the following is achieved:

[0057] Real-time monitoring: By installing a temperature sensor on the waste liquid collection container, the system can monitor the temperature changes in the barrel in real time, promptly detect the rise in liquid level, and improve the timeliness of early warning.

[0058] Automated processing: The system automatically collects and analyzes data, reducing manual intervention and the risk of waste liquid overflow due to human negligence.

[0059] Accurate estimation: Using the temperature-height relationship model, the system can estimate the liquid level more accurately and provide operators with reliable liquid level information.

[0060] Warning threshold setting: By setting the warning threshold, the system can issue a warning before the liquid level reaches a dangerous height, leaving enough time for operators to deal with it.

[0061] Remote notification: Warning information can be sent to designated mobile phones. Even if the operator is not present, he can be notified in time, which improves the practicality of the system.

[0062] User feedback mechanism: Through the user feedback mechanism, the system can receive on-site confirmation and operation results from operators, which helps the system further optimize and adjust early warning strategies.

[0063] The step (2) is specifically as follows: collecting and recording the temperature distribution data of the waste liquid container in an empty state, assuming that the readings of all temperature sensors are T1, T2, ..., T n , where n is the number of temperature sensors, and the temperature distribution data is used as a benchmark for subsequent temperature change analysis. By collecting temperature distribution data when the waste liquid container is empty, a standardized benchmark can be established to provide a reliable reference for subsequent real-time monitoring and analysis.

[0064] The step (3) is specifically as follows:

[0065] As the waste liquid is added, the real-time temperature data of each sensor is continuously collected. Assume that the real-time collected temperature data is T1′, T2′, …, T n ′;

[0066] For each sensor, calculate its temperature change: ΔT i =T′ i -T i ; Where ΔTi is the temperature change value of the i-th sensor.

[0067] The advantages of step (3) are mainly reflected in the following aspects:

[0068] Real-time: By continuously collecting real-time temperature data, the system can promptly capture the temperature changes caused by the addition of waste liquid, ensuring the response speed of the early warning system.

[0069] Accuracy: By calculating the temperature change value of each sensor, the rise of the liquid level can be accurately monitored, improving the accuracy of liquid level monitoring.

[0070] Dynamic monitoring: As waste liquid is continuously added, the system can dynamically monitor temperature changes, adapt to changes in waste liquid volume, and ensure the continuity and real-time nature of monitoring.

[0071] Data comparison: Comparing the real-time collected temperature data with the baseline data collected in step (2) can more accurately analyze the temperature change pattern.

[0072] The step (4) is specifically as follows:

[0073] Temperature change threshold: Set a temperature change threshold ΔT th , if the temperature change value of a temperature sensor is ΔT i Less than ΔT th , it is considered that the liquid surface has contacted the temperature sensor; Temperature change trend: Analyze the temperature change trend of multiple consecutive sensors. If the temperature change value of the temperature sensor from the bottom to the top gradually decreases, and the temperature change value of at least one temperature sensor is less than ΔT th , the liquid level is considered to be rising.

[0074] The advantages of step (4) are mainly concentrated in the following aspects:

[0075] Enhanced sensitivity: By setting the temperature change threshold ΔTth, it is able to respond to small temperature changes and improve the sensitivity to liquid level rise.

[0076] Improved accuracy: Combined with temperature trend analysis, it is possible to more accurately determine whether the liquid level is rising, reducing the possibility of false alarms and missed alarms.

[0077] Dynamic monitoring: By continuously monitoring the temperature changes of multiple sensors, the system can track the dynamic changes of the liquid level in real time and respond promptly to the rise in liquid level.

[0078] The step (5) is specifically as follows:

[0079] 5.1 Temperature change weighting:

[0080] First, the temperature sensors at different locations have different sensitivities to the liquid level changes, and a weight wi is assigned to each sensor, which is determined based on the location of the temperature sensor and the thermal conductivity characteristics of the waste liquid;

[0081] 5.2 Weighted summation of temperature changes: Use weighted temperature change values ​​to more accurately reflect the liquid level, specifically: ΔT′ i =w i ΔT i ;

[0082] 5.3 Establishment of temperature-height model: Establish a relationship model between temperature and liquid level. Assume that in the absence of waste liquid, the temperature distribution in the barrel is linear, that is: T = m·d i +b, where T is the temperature, d i is the vertical distance from the sensor to the bottom of the bucket, m is the temperature gradient, and b is the intercept;

[0083] 5.4 Relationship between temperature change and liquid level:

[0084] When waste liquid is added, the temperature changes ΔT i Liquid level h i The relationship between is expressed as: ΔT i = k·(d i -h i ) where k is a proportionality constant that depends on the heat transfer properties of the waste liquid and the air in the container;

[0085] 5.5 Iterative solution of liquid level: Use iterative method to solve, set the initial estimated liquid level as H(0), and then iteratively update:

[0086] 5.6 Convergence condition setting: Set a convergence threshold ∈. When the liquid level change in two consecutive iterations is less than ∈, it is considered to have converged: |H (t+1) -H (t) |<∈;

[0087] 5.7 Dynamic adjustment of temperature distribution: The addition of waste liquid will change the temperature distribution in the container. A dynamic adjustment factor α is introduced to adjust the temperature gradient m and intercept b:

[0088] m′=m·(1+α)

[0089] b′=b·(1+α);

[0090] 5.8 Update of temperature-height model: Re-establish the temperature-height model using the adjusted temperature gradient and intercept, and repeat the above iterative process until the convergence condition is met.

[0091] 5.9 Final estimation of liquid level:

[0092] Finally, when the iterative process converges, the obtained liquid level H is the estimated height of the waste liquid in the barrel.

[0093] Based on the settings in step (5), the following are achieved:

[0094] Adaptability: The model can automatically adjust according to the physical characteristics of the waste liquid and the container conditions, and has strong adaptability.

[0095] Accuracy: The accuracy of the liquid level estimation is improved through weighted and iterative methods.

[0096] Efficiency: The setting of convergence conditions ensures that the algorithm stops after reaching the required accuracy, avoiding waste of resources.

[0097] Stability: The dynamic adjustment mechanism ensures the stability of the model during the addition of waste liquid.

[0098] Practicality: The final liquid level estimation can be directly used for early warning and operational decision-making, and has high practical value.

[0099] The step (6) is specifically as follows: setting a liquid level warning threshold H th If the estimated liquid level H approaches or exceeds H th , it is considered that the waste liquid container is about to overflow and an early warning is issued.

[0100] The present invention also relates to an automatic early warning system for preventing a waste liquid collection container from being filled and overflowing, comprising:

[0101] The initial data collection module 1 is used to collect and record the temperature distribution data of the waste liquid collection container in an empty state as the reference data;

[0102] The real-time data monitoring module 2 is used to continuously monitor the temperature changes in the waste liquid container. Since the heat capacity of the waste liquid and the air in the container is different, the rising liquid level will cause the temperature of the contact surface to change;

[0103] The temperature change analysis module 3 is used to analyze the temperature change pattern by comparing the real-time monitored temperature with the reference data. When a sudden drop in temperature is detected, it indicates that the liquid level has risen to a position close to the sensor;

[0104] The liquid level estimation module 4 is used to estimate the liquid level according to the degree of temperature change and the known temperature-height relationship model;

[0105] The warning threshold judgment module 5 is used to set a warning threshold. When the estimated liquid level reaches the threshold, it is determined that the waste liquid tank is about to overflow;

[0106] The warning information sending module 6 is used to automatically send a warning message to a designated mobile phone terminal once the warning threshold is reached. The sent warning message includes an estimated value of the liquid level and recommended operating measures;

[0107] The user feedback mechanism module 7 is used for the operator to conduct on-site confirmation after receiving the warning information and to feedback the operation results to the system.

[0108] The design of the automatic early warning system of the present invention includes multiple modules, each of which has its own unique advantages:

[0109] Initial Data Collection Module 1: Provides standardized baseline data, laying a solid foundation for subsequent monitoring and analysis. Allows the system to adapt to different environmental conditions, ensuring data accuracy and reliability.

[0110] Real-time data monitoring module 2: It realizes continuous monitoring of the temperature changes of the waste liquid container, improving the response speed and real-time performance of the system. By monitoring the temperature changes, the liquid level rise can be detected in time, reducing the risk of waste liquid overflow.

[0111] Temperature change analysis module 3: By comparing real-time data with baseline data, it is possible to accurately identify signs of liquid level rise. The detection of sudden temperature drops improves the system's sensitivity to liquid level changes and the timeliness of early warning.

[0112] Liquid level estimation module 4: Using the known temperature-height relationship model, the liquid level can be estimated to provide a quantitative basis for early warning. The estimation results help operators understand the current liquid level status and make more accurate processing decisions.

[0113] Warning threshold judgment module 5: By setting the warning threshold, the system can automatically determine when a warning is needed, which improves the automation level of warning. The warning threshold can be adjusted according to actual conditions, increasing the flexibility and adaptability of the system.

[0114] Warning information sending module 6: Automatically send warning information to the designated mobile phone to ensure that the operator can receive the warning in time. The warning information includes the estimated value of the liquid level and the recommended operating measures, providing clear guidance for the operator.

[0115] User feedback mechanism module 7: allows operators to conduct on-site confirmation and feedback of operation results, forming a closed-loop control system. User feedback can be used for system self-learning and optimization, improving the long-term stability and accuracy of the system.

[0116] In summary, the present invention achieves:

[0117] Automation and intelligence: The entire system realizes automated monitoring and early warning, reducing manual intervention and improving efficiency.

[0118] Real-time and accuracy: The system can respond to and accurately analyze liquid level changes in real time and issue early warnings in a timely manner.

[0119] Data-driven: The system analyzes and makes decisions based on data, which improves the scientific nature and objectivity of early warning.

[0120] Closed-loop control: Through user feedback, the system forms a closed loop and can continuously optimize and adjust the early warning strategy.

[0121] Reduce risks: Through timely warning and recommended operational measures, the system helps reduce the risk of waste liquid spills and protect the environment and personnel safety.

[0122] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An automatic warning method to prevent a waste liquid collection container from overflowing, characterized in that: The following steps are involved: (1) installing a plurality of temperature sensors near the container opening of the waste liquid collection container, wherein the plurality of temperature sensors form a temperature monitoring array for real-time monitoring of the temperature distribution in the barrel; (2) Initial data collection: Collect and record the temperature distribution data of the waste liquid collection container in the empty state as the baseline data; (3) Real-time data monitoring: As waste liquid is added, the temperature changes in the waste liquid container are continuously monitored. Due to the different heat capacities of the waste liquid and the air in the container, the rising liquid level will cause the temperature of the contact surface to change; (4) Temperature change analysis: By comparing the real-time monitored temperature with the baseline data, the temperature change pattern is analyzed. When a sudden drop in temperature is detected, it indicates that the liquid level has risen to a position close to the sensor; (5) Liquid level estimation: Estimate the liquid level based on the degree of temperature change and the known temperature-height relationship model; (6) Warning threshold judgment: set a warning threshold. When the estimated liquid level reaches the threshold, it is determined that the waste liquid tank is about to overflow. (7) Warning information transmission: Once the warning threshold is reached, a warning message is automatically sent to the designated mobile phone. The warning message sent includes the estimated value of the liquid level and the recommended operating measures; (8) User feedback mechanism: After receiving the warning information, the operator conducts on-site confirmation and feeds back the operation results to the system.

2. The automatic warning method for preventing a waste liquid collection container from overflowing according to claim 1 is characterized in that: The step (2) is specifically as follows: collecting and recording the temperature distribution data of the waste liquid container in an empty state, assuming that the readings of all temperature sensors are T1, T2, ..., T n , where n is the number of temperature sensors, and the temperature distribution data serves as a benchmark for subsequent temperature change analysis.

3. The automatic warning method for preventing a waste liquid collection container from overflowing according to claim 2 is characterized in that: The step (3) is specifically as follows: As the waste liquid is added, the real-time temperature data of each sensor is continuously collected. Assume that the real-time collected temperature data is T1′, T2′, …, T n ′; For each sensor, calculate its temperature change: ΔT i =T′ i -T i ; Where ΔTi is the temperature change value of the i-th sensor.

4. The automatic warning method for preventing a waste liquid collection container from overflowing according to claim 3 is characterized in that: The step (4) is specifically as follows: Temperature change threshold: Set a temperature change threshold ΔT th , if the temperature change value of a temperature sensor is ΔT i Less than ΔT th , it is considered that the liquid surface has contacted the temperature sensor; Temperature change trend: Analyze the temperature change trend of multiple consecutive sensors. If the temperature change value of the temperature sensor from the bottom to the top gradually decreases, and the temperature change value of at least one temperature sensor is less than ΔT th , the liquid level is considered to be rising.

5. The automatic warning method for preventing a waste liquid collection container from overflowing according to claim 4 is characterized in that the step (5) specifically comprises: 5.1 Temperature change weighting: First, the temperature sensors at different locations have different sensitivities to the liquid level changes, and a weight wi is assigned to each sensor, which is determined based on the location of the temperature sensor and the thermal conductivity characteristics of the waste liquid; 5.2 Weighted summation of temperature changes: Use weighted temperature change values ​​to more accurately reflect the liquid level, specifically: ΔT′ i =w i ΔT i ; 5.3 Establishment of temperature-height model: Establish a relationship model between temperature and liquid level. Assume that in the absence of waste liquid, the temperature distribution in the barrel is linear, that is: T = m·d i +b, where T is the temperature, d i is the vertical distance from the sensor to the bottom of the bucket, m is the temperature gradient, and b is the intercept; 5.4 Relationship between temperature change and liquid level: When waste liquid is added, the temperature changes ΔT i Liquid level h i The relationship between is expressed as: ΔT i = k·(d i -h i ), where k is a proportionality constant that depends on the heat transfer properties of the waste liquid and the air in the container; 5.5 Iterative solution of liquid level: Use iterative method to solve, set the initial estimated liquid level as H(0), and then iteratively update: 5.6 Convergence condition setting: Set a convergence threshold ∈. When the liquid level change in two consecutive iterations is less than ∈, it is considered to have converged: |H (t+1) -H (t) |<∈; 5.7 Dynamic adjustment of temperature distribution: The addition of waste liquid will change the temperature distribution in the container. A dynamic adjustment factor α is introduced to adjust the temperature gradient m and intercept b: m′=m·(1+α) b′=b·(1+α). 5.8 Update of temperature-height model: Re-establish the temperature-height model using the adjusted temperature gradient and intercept, and repeat the above iterative process until the convergence condition is met. 5.9 Final estimation of liquid level: Finally, when the iterative process converges, the obtained liquid level H is the estimated height of the waste liquid in the barrel.

6. The automatic warning method for preventing a waste liquid collection container from overflowing according to claim 4 is characterized in that: The step (6) is specifically as follows: setting a liquid level warning threshold H th If the estimated liquid level H approaches or exceeds H th , it is considered that the waste liquid container is about to overflow and an early warning is issued.

7. An automatic warning system to prevent overflow of a waste liquid collection container, characterized in that: include: An initial data collection module is used to collect and record temperature distribution data of the waste liquid collection container in an empty state as a reference data; The real-time data monitoring module is used to continuously monitor the temperature changes in the waste liquid container. Due to the different heat capacities of the waste liquid and the air in the container, the rising liquid level will cause the temperature of the contact surface to change; The temperature change analysis module is used to analyze the temperature change pattern by comparing the real-time monitored temperature with the baseline data. When a sudden drop in temperature is detected, it indicates that the liquid level has risen to a position close to the sensor; A liquid level estimation module is used to estimate the height of the liquid level according to the degree of temperature change and a known temperature-height relationship model; The warning threshold judgment module is used to set a warning threshold. When the estimated liquid level reaches the threshold, it is determined that the waste liquid tank is about to overflow; The warning information sending module is used to automatically send warning information to the designated mobile phone terminal once the warning threshold is reached. The warning information sent includes the estimated value of the liquid level and the recommended operating measures; The user feedback mechanism module is used for operators to conduct on-site confirmation after receiving early warning information and to feedback the operation results to the system.

Images