Intelligent temperature detection and control method for hazardous waste recovery

Abstract

The invention relates to the technical field of environmental engineering, and particularly discloses an intelligent temperature detection and control method for hazardous waste recovery, which comprises the following steps: S1, detecting the temperature of alkaline oily wastewater in real time by using a temperature sensor made of a corrosion-resistant material; s2, dynamically adjusting the power of the heating device to ensure that the temperature of the wastewater is maintained in a preset suitable range; s3, automatically adjusting the working frequency of the stirrer based on the detected oil concentration data and temperature information; s4, by installing a flow stabilizer, it is ensured that the flow of the waste water is evenly distributed; and S5, transmitting the data detected in real time to a central controller for corresponding control. By dynamically adjusting the power of the heating device, the phenomenon that the pipeline is blocked due to the fact that the viscosity of an oil product is increased in a low-temperature environment can be prevented; by installing the flow stabilizer, it is ensured that the flow of waste water is evenly distributed, and the phenomenon that detection signals are unstable due to uneven flow speed is eliminated.

Description

Technical Field

[0001] The invention relates to the technical field of environmental engineering, and in particular to a temperature intelligent detection and control method for hazardous waste recycling. Background Art

[0002] If alkaline oily wastewater is discharged directly, it will cause serious pollution to the water environment. Oil substances will form an oil film on the water surface, blocking oxygen from entering the water, causing aquatic organisms to die of hypoxia. At the same time, alkaline substances may change the pH value of the water and affect the acid-base balance of the aquatic ecosystem.

[0003] In the oil separation treatment stage of alkaline oily wastewater, temperature plays a key role in the separation of oil and water. However, due to the large fluctuation of the pH value of alkaline oily wastewater, it is easy to cause corrosion of the sensor, thus affecting its measurement accuracy and service life; secondly, in a low temperature environment, the increase in oil viscosity will cause pipeline blockage, hindering the flow and treatment of waste liquid; thirdly, when the oil concentration is high, the oil film will adhere to the surface of the equipment, resulting in a significant decrease in heat transfer efficiency, affecting the operation of the overall system; finally, under the condition of fluctuating wastewater flow, uneven flow rate will cause instability of the detection signal, further increasing the difficulty of system control. These problems are key obstacles to realizing intelligent temperature detection and control. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a temperature intelligent detection and control method for hazardous waste recovery, which solves the problem of sensor corrosion caused by pH value fluctuations and the problem of oil viscosity affecting the flow of waste liquid.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a temperature intelligent detection and control method for hazardous waste recycling, comprising the following steps: Step 1: Use a temperature sensor made of corrosion-resistant material to detect the temperature of alkaline oily wastewater in real time, and use a pH compensation algorithm to adjust the actual measurement value of the temperature sensor to ensure that pH fluctuations do not affect the accuracy of temperature data; Step 2: In a low-temperature environment, dynamically adjust the power of the heating device to ensure that the wastewater temperature is maintained within a preset suitable range to prevent pipeline blockage due to increased oil viscosity; Step 3: Based on the detected oil concentration data and wastewater temperature information in the wastewater, the operating frequency of the agitator is automatically adjusted to improve the oil film stripping effect and the heat transfer efficiency; Step 4: Install a flow stabilizer to make the wastewater flow uniform and eliminate the impact of uneven flow rate on the stability of the detection signal; Step 5: The real-time detected data is transmitted to the central controller, which conducts comprehensive analysis and processing and issues corresponding control instructions.

[0006] Preferably, in step 1, the specific process of adjusting the actual measurement value of the temperature sensor using the pH value compensation algorithm is as follows: Collect the real-time pH value of alkaline oily wastewater; According to the formula: actual temperature = measured temperature + K* (7-pH), where K is the compensation coefficient and pH is the real-time pH value of the wastewater; The calculated actual temperature data is transmitted to the central controller; The central controller issues corresponding control instructions based on the actual temperature data.

[0007] Preferably, the specific process of step 2 is as follows: Real-time monitoring of wastewater temperature; According to the formula: target power = basic power * (reference temperature / current temperature), where the reference temperature is the optimal temperature to ensure smooth flow of the pipeline, and the current temperature is the temperature detected in real time; The central controller adjusts the operating power of the heating device according to the target power.

[0008] Preferably, the specific process of step three is as follows: Real-time monitoring of wastewater oil concentration and temperature; According to the formula: operating frequency = basic frequency + α* (oil concentration / temperature), where α is a constant, oil concentration is the detected oil concentration value, and temperature is the detected temperature value; The central controller adjusts the operating frequency of the agitator according to the calculation results; Dynamically record the stirring effect before and after adjustment to optimize the frequency adjustment strategy.

[0009] Preferably, the specific process of step 4 is as follows: Collect instantaneous flow data of wastewater; Calculate the average flow rate F and flow fluctuation ΔF; According to the formula: adjustment coefficient = β*(ΔF / F), where β is the adjustment coefficient, ΔF is the flow fluctuation, and F is the average flow; The operating parameters of the flow stabilizer are dynamically adjusted according to the adjustment coefficient to ensure uniform flow.

[0010] Preferably, the specific process of dynamically adjusting the flow stabilizer operating parameters according to the adjustment coefficient is as follows: Wastewater flow data is updated every minute; According to the adjustment coefficient, the target flow Q = historical average flow + adjustment coefficient * historical average flow; The flow stabilizer is adjusted according to the target flow value; Regularly check the flow stability and optimize the adjustment coefficient.

[0011] The present invention provides a temperature intelligent detection and control method for hazardous waste recycling. It has the following beneficial effects: The present invention enables the sensor to work stably for a long time in a high pH environment by selecting corrosion-resistant materials, thereby effectively avoiding the sensor corrosion problem caused by pH fluctuations; by dynamically adjusting the power of the heating device, it can prevent the pipeline blockage caused by the increase in oil viscosity in a low temperature environment. When the temperature is too low, the system will automatically increase the heating power to ensure that the oil maintains fluidity; when the temperature is too high, the heating power will be reduced to avoid unnecessary energy waste.

[0012] The present invention can improve the oil film stripping effect and reduce the adhesion of the oil film on the pipe wall by adjusting the working frequency of the agitator, thereby effectively improving the heat transfer efficiency and solving the problem of reduced heat transfer efficiency caused by oil film adhesion in a high oil concentration environment.

[0013] The present invention ensures uniform distribution of wastewater flow by installing a flow stabilizer, eliminates the unstable detection signal phenomenon caused by uneven flow velocity, enables the system to obtain more accurate detection data, and further improves the reliability and accuracy of the entire control system. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example

[0015] The embodiment of the present invention provides a temperature intelligent detection and control method for hazardous waste recycling, comprising the following steps: Step 1: Use a temperature sensor made of corrosion-resistant materials to detect the temperature of alkaline oily wastewater in real time. Since the pH value in alkaline oily wastewater fluctuates greatly, ordinary metal materials are easily corroded, resulting in sensor performance degradation or even failure. Therefore, materials with good corrosion resistance, such as stainless steel, platinum or Teflon coating, are selected to make temperature sensors. These materials can effectively resist the erosion of alkaline media and ensure long-term stable temperature detection functions; at the same time, the pH compensation algorithm is used to adjust the actual measurement value of the temperature sensor to ensure that pH fluctuations do not affect the accuracy of temperature data; Step 2: In a low-temperature environment, dynamically adjust the power of the heating device to ensure that the wastewater temperature is maintained within the preset appropriate range to prevent pipeline blockage caused by increased oil viscosity. When the temperature is too low, the system will automatically increase the heating power to ensure that the oil remains fluid; when the temperature is too high, the heating power will be reduced to avoid unnecessary energy waste; Step 3: Based on the detected oil concentration data and wastewater temperature information in the wastewater, the operating frequency of the agitator is automatically adjusted to improve the oil film stripping effect and the heat transfer efficiency; Step 4: Install a flow stabilizer to make the wastewater flow uniform and eliminate the impact of uneven flow rate on the stability of the detection signal; Step 5: The real-time detected data is transmitted to the central controller, which conducts comprehensive analysis and processing and issues corresponding control instructions. The central controller makes intelligent judgments and decisions based on the data from each sensor to achieve precise control of each device and ensure efficient and stable operation of the entire system.

[0016] In step 1, the specific process of using the pH compensation algorithm to adjust the actual measurement value of the temperature sensor is as follows: The real-time pH value of alkaline oily wastewater is collected through a dedicated pH sensor; Then according to the formula: actual temperature = measured temperature + K*(7-pH), where K is the compensation coefficient, usually between 0 and 1, and pH is the real-time pH value of the wastewater; The calculated actual temperature data is transmitted to the central controller; The central controller issues corresponding control instructions based on the actual temperature data. If the temperature after compensation calculation is too high, the controller will issue a command to start the cooling system; conversely, if the temperature is too low, the heating device will be started to maintain the temperature of the entire system within the set ideal range, ensuring the efficiency and safety of the waste oil recovery process.

[0017] The specific process of step 2 is as follows: Real-time monitoring of wastewater temperature To ensure that the system can obtain the most accurate environmental data, temperature sensors are installed in key locations, such as the entrance of wastewater into the treatment system and key nodes of pipelines, to continuously transmit real-time temperature information to the central controller; According to the formula: Target power = Basic power * (reference temperature / current temperature), where the reference temperature is the optimal temperature to ensure smooth flow of the pipeline, which is generally determined through experiments or empirical data based on the characteristics of the oil product. The current temperature is the temperature detected in real time. The basic power refers to the initial power required for the heating device to operate under standard conditions. By receiving data from the temperature sensor and the calculated target power value, the central controller sends instructions to the heating device to adjust its power output.

[0018] The specific process of step three is as follows: The oil concentration and temperature of the wastewater are monitored in real time by sensors installed on the wastewater treatment device, and the sensors include an oil concentration sensor and a temperature sensor; After receiving these data, the central controller will calculate the operating frequency of the agitator according to the preset formula: Operating frequency = basic frequency + α* (oil concentration / temperature), where α is a constant between 0.1 and 1.0, the basic frequency is the default operating frequency of the agitator without external adjustment, the oil concentration is the detected oil concentration value, and the temperature is the detected temperature value; After the central controller calculates the new operating frequency, it will immediately send the frequency value to the agitator drive unit to adjust it to the calculated new frequency, ensuring that the system can respond quickly to changes in wastewater conditions; Dynamically record the stirring effect before and after adjustment and optimize the frequency adjustment strategy; enable the entire system to dynamically adjust the working frequency of the agitator based on real-time monitoring of oil concentration and temperature to optimize the recovery and treatment effect of alkaline oily wastewater.

[0019] The specific process of step 4 is as follows: Collect instantaneous flow data of wastewater through flow meters installed on pipelines; Calculate the average flow rate F and flow fluctuation ΔF. Use the collected instantaneous flow data to calculate the average flow rate F within a certain period of time. At the same time, calculate the standard deviation of these data points as the flow fluctuation ΔF. The standard deviation can reflect the degree of discreteness of the data distribution, thereby characterizing the change of wastewater flow. According to the formula: adjustment coefficient = β*(ΔF / F), where β is the adjustment coefficient set between 0 and 1, ΔF is the flow fluctuation, and F is the average flow. When ΔF is larger than F, it means that the wastewater flow fluctuation is more drastic, and a higher adjustment coefficient is needed to smooth out this fluctuation. Otherwise, the adjustment coefficient is lower, thereby avoiding system instability caused by over-adjustment. The calculated adjustment coefficient is applied to the flow stabilizer to dynamically change its operating parameters such as valve opening, pump speed, etc., so that the wastewater flow rate can be kept at a constant level as much as possible.

[0020] The specific process of dynamically adjusting the flow stabilizer operating parameters according to the adjustment coefficient is as follows: Wastewater flow data is updated every minute; According to the adjustment coefficient, the target flow Q = historical average flow + adjustment coefficient * historical average flow; The calculated target flow value is applied to the actual control of the flow stabilizer. The flow stabilizer makes the actual flow approach the target flow value by adjusting the valve opening, pump speed, etc. The flow stability is tested every 10 minutes. If the test results show that the actual flow rate deviates greatly from the target flow rate, the adjustment coefficient can be adjusted according to the actual situation to further optimize the flow control effect.

[0021] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A temperature intelligent detection and control method for hazardous waste recycling, characterized in that: The following steps are involved: Step 1: Use a temperature sensor made of corrosion-resistant material to detect the temperature of alkaline oily wastewater in real time, and use a pH compensation algorithm to adjust the actual measurement value of the temperature sensor to ensure that pH fluctuations do not affect the accuracy of temperature data; Step 2: In a low-temperature environment, dynamically adjust the power of the heating device to ensure that the wastewater temperature is maintained within a preset suitable range to prevent pipeline blockage due to increased oil viscosity; Step 3: Based on the detected oil concentration data and wastewater temperature information in the wastewater, the operating frequency of the agitator is automatically adjusted to improve the oil film stripping effect and the heat transfer efficiency; Step 4: Install a flow stabilizer to make the wastewater flow uniform and eliminate the impact of uneven flow rate on the stability of the detection signal; Step 5: The real-time detected data is transmitted to the central controller, which conducts comprehensive analysis and processing and issues corresponding control instructions.

2. The temperature intelligent detection and control method for hazardous waste recycling according to claim 1 is characterized in that: In step 1, the specific process of using the pH value compensation algorithm to adjust the actual measurement value of the temperature sensor is as follows: Collect the real-time pH value of alkaline oily wastewater; According to the formula: actual temperature = measured temperature + K* (7-pH), where K is the compensation coefficient and pH is the real-time pH value of the wastewater; The calculated actual temperature data is transmitted to the central controller; The central controller issues corresponding control instructions based on the actual temperature data.

3. The temperature intelligent detection and control method for hazardous waste recycling according to claim 1 is characterized by: The specific process of step 2 is as follows: Real-time monitoring of wastewater temperature; According to the formula: target power = basic power * (reference temperature / current temperature), where the reference temperature is the optimal temperature to ensure smooth flow of the pipeline, and the current temperature is the temperature detected in real time; The central controller adjusts the operating power of the heating device according to the target power.

4. The temperature intelligent detection and control method for hazardous waste recycling according to claim 1 is characterized in that: The specific process of step three is as follows: Real-time monitoring of wastewater oil concentration and temperature; According to the formula: operating frequency = basic frequency + α* (oil concentration / temperature), where α is a constant, oil concentration is the detected oil concentration value, and temperature is the detected temperature value; The central controller adjusts the operating frequency of the agitator according to the calculation results; Dynamically record the stirring effect before and after adjustment to optimize the frequency adjustment strategy.

5. The temperature intelligent detection and control method for hazardous waste recycling according to claim 1 is characterized by: The specific process of step 4 is as follows: Collect instantaneous flow data of wastewater; Calculate the average flow rate F and flow fluctuation ΔF; According to the formula: adjustment coefficient = β*(ΔF / F), where β is the adjustment coefficient, ΔF is the flow fluctuation, and F is the average flow; The operating parameters of the flow stabilizer are dynamically adjusted according to the adjustment coefficient to ensure uniform flow.

6. The temperature intelligent detection and control method for hazardous waste recycling according to claim 2 is characterized by: The specific process of dynamically adjusting the flow stabilizer operating parameters according to the adjustment coefficient is as follows: Wastewater flow data is updated every minute; According to the adjustment coefficient, the target flow Q = historical average flow + adjustment coefficient * historical average flow; The flow stabilizer is adjusted according to the target flow value; Regularly check the flow stability and optimize the adjustment coefficient.