Medical sewage treatment monitoring and analyzing system

Abstract

The invention relates to the technical field of sewage treatment, in particular to a medical sewage treatment monitoring analysis system which comprises a data acquisition module, a first determination module, a second determination module, a first calculation module, a second calculation module, a correction module and an output module. Through real-time data acquisition and multi-level judgment and analysis, the system can accurately detect concentration and diffusion abnormity in the sewage treatment process, timely discover potential problems and perform dynamic adjustment, and through intelligent adjustment of the treatment speed, the system can optimize resource utilization, reduce the conditions of excessive treatment or insufficient treatment and improve the treatment efficiency. And the treatment process can be always kept in an optimal state. And meanwhile, the correction module corrects the preset concentration threshold value according to the real-time data, so that the adaptability and accuracy of the system are further improved, and the problem of poor adaptability to complex treatment conditions due to dependence on static and incomplete theoretical pollution discharge information is effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and particularly to a monitoring and analysis system for medical sewage treatment. Background Art

[0002] With the rapid development of the medical industry, the treatment of medical sewage has become an important topic in environmental protection. The sewage generated by medical institutions not only contains a large number of harmful germs and viruses, but may also contain drug residues, heavy metals and other toxic substances. If this sewage is not properly treated and directly discharged into the environment, it will cause serious pollution to water resources, soil and the ecological system, and endanger human health. Therefore, how to effectively and timely treat medical sewage and ensure the stability and efficiency of the treatment process has become a key issue in ensuring environmental safety and public health.

[0003] The patent document with the publication number CN111559839A discloses a sewage treatment control method and a medical sewage treatment monitoring and analysis system applying the same. The system includes: a sewage treatment system, in which there is an operating device that operates periodically, and a monitoring device is arranged at the discharge end of the sewage treatment system for obtaining actual sewage discharge information, and the monitoring device is communicatively connected to the operating device for obtaining sewage discharge operation information; it also includes a monitoring and analysis module that records theoretical sewage discharge information, and the monitoring device is communicatively connected to the monitoring and analysis module to obtain comparison result information by comparison.

[0004] It can be seen that the medical sewage treatment monitoring and analysis system has the following problems: This system mainly obtains actual sewage discharge information through the monitoring device, compares it with the theoretical sewage discharge information, and conducts analysis and decision-making. In actual application, it may be interfered by external factors, resulting in a large deviation between the actual data and the theoretical data, thus affecting the accuracy of monitoring and analysis; This system mainly relies on theoretical sewage discharge information, which has certain staticity and incompleteness, and cannot fully consider the complex changes in actual operation. Summary of the Invention

[0005] For this reason, the present invention provides a medical sewage treatment monitoring and analysis system, which is used to overcome the problem of poor adaptability to complex treatment situations due to relying on static and incomplete theoretical sewage discharge information in the prior art by adaptively and accurately analyzing through real-time collection of dynamic data in the sewage treatment process.

[0006] To achieve the above object, the present invention provides a medical sewage treatment monitoring and analysis system, including:

[0007] A data acquisition module, which is used to collect the real-time concentration, real-time area and real-time transparency of the white mist at the monitoring point in the treatment pool where the sewage is treated at a preset treatment speed;

[0008] A first determination module, which is connected to the data acquisition module and is used to determine a concentration anomaly result according to the real-time concentration and a preset concentration threshold;

[0009] A second determination module, which is respectively connected to the data acquisition module and the first determination module, and is used to determine a diffusion anomaly result according to the concentration anomaly result, the real-time concentration and the real-time area;

[0010] A first calculation module, which is respectively connected to the data acquisition module and the second determination module, and is used to calculate a first adjusted processing speed according to the diffusion anomaly result, the real-time transparency and the preset processing speed;

[0011] A second calculation module, which is respectively connected to the first calculation module and the data acquisition module, and is used to calculate a second adjusted processing speed according to the diffusion anomaly result and the preset processing speed within a preset speed calculation duration;

[0012] A correction module, which is respectively connected to the first calculation module, the second calculation module and the first determination module, and is used to correct the preset concentration threshold according to the first adjusted processing speed and the second adjusted processing speed to form a corrected concentration threshold;

[0013] An output module, which is respectively connected to the correction module, the first calculation module and the second determination module, and is used to output an analysis report according to the first adjusted processing speed and the diffusion anomaly result formed based on the corrected concentration threshold.

[0014] Further, the first determination module includes:

[0015] A concentration comparison unit, which is used to compare the real-time concentration and the preset concentration threshold to form a concentration comparison result;

[0016] A first determination unit, which is connected to the concentration comparison unit and is used to determine that the white fog appears abnormally when the concentration comparison result is that the real-time concentration is greater than the preset concentration threshold, and form a concentration anomaly result.

[0017] Further, the second determination module includes:

[0018] A diffusion speed calculation unit, which is used to calculate the difference between the real-time areas at adjacent moments to obtain the diffusion speed;

[0019] A second determination unit, which is connected to the diffusion speed unit and is used to determine the diffusion anomaly result according to the concentration anomaly result, the diffusion speed and the real-time concentration.

[0020] Further, the second determination unit includes:

[0021] A concentration fluctuation calculation subunit for calculating the standard deviation of the real-time concentration within a preset fluctuation calculation duration to form a concentration fluctuation value;

[0022] A diffusion fluctuation calculation subunit for calculating the standard deviation of the diffusion speed within the preset fluctuation calculation duration to form a diffusion fluctuation value;

[0023] A consistency calculation subunit, which is respectively connected to the concentration fluctuation calculation subunit and the diffusion fluctuation calculation subunit, for calculating the relative deviation between the concentration fluctuation value and the diffusion fluctuation value to form a consistency;

[0024] A diffusion determination subunit, which is connected to the consistency calculation subunit, for determining the diffusion anomaly result according to the concentration anomaly result when the consistency is less than a preset consistency threshold.

[0025] Further, the first calculation module includes:

[0026] A transparency fluctuation calculation unit for calculating the standard deviation of the real-time transparency within a preset adjustment duration to form a transparency fluctuation value;

[0027] A determination unit, which is connected to the transparency fluctuation calculation unit, for determining that the preset processing speed needs to be adjusted according to the diffusion anomaly result when the transparency fluctuation value is greater than a preset transparency fluctuation threshold to form an adjustment determination result;

[0028] A first calculation unit, which is connected to the determination unit, for calculating the first adjusted processing speed according to the adjustment determination result, the relative deviation between the transparency fluctuation value and the preset transparency fluctuation threshold, a preset adjustment coefficient, and the preset processing speed.

[0029] Further, the second calculation module includes:

[0030] A quantity fluctuation calculation unit for calculating the standard deviation of the quantity of the adjusted processing speed to form a quantity fluctuation value;

[0031] A second calculation unit, which is connected to the quantity fluctuation calculation unit, for calculating the second adjusted processing speed according to the relative deviation between the quantity fluctuation value and a preset quantity fluctuation threshold, a preset calculation coefficient, and the preset processing speed when the quantity fluctuation value is greater than the preset quantity fluctuation threshold.

[0032] Further, the correction module includes:

[0033] An adjustment deviation calculation unit for calculating the relative deviation between the first adjusted processing speed and the second adjusted processing speed to form an adjustment deviation;

[0034] A correction unit, which is connected to the adjustment deviation calculation unit, is configured to correct the preset concentration threshold according to the adjustment deviation to form a corrected concentration threshold.

[0035] Further, the correction unit includes:

[0036] A deviation comparison subunit, which is configured to compare the adjustment deviation with a preset deviation threshold to form a deviation comparison result;

[0037] A correction subunit, which is connected to the deviation comparison subunit, is configured to reduce the preset concentration threshold according to the relative deviation between the adjustment deviation and the preset deviation threshold and a preset correction coefficient to form a corrected concentration threshold when the deviation comparison result indicates that the adjustment deviation is greater than the preset deviation threshold.

[0038] Further, the output module includes:

[0039] An integration unit, which is configured to integrate the first adjustment processing speed and the diffusion anomaly result to form an integration result;

[0040] An output unit, which is connected to the integration unit, is configured to output the analysis report according to the integration result.

[0041] Further, the integration unit includes:

[0042] A normalization subunit, which is configured to perform normalization on the first adjustment processing speed to form a standard speed, and perform normalization on the total duration of the diffusion anomaly result to form a standard duration;

[0043] An exponential calculation subunit, which is connected to the normalization subunit, is configured to perform a weighted summation calculation according to a preset processing speed weight, a preset duration weight, the standard speed, and the standard duration to form an output index;

[0044] An output unit subunit, which is connected to the exponential calculation subunit, is configured to output the analysis report according to the integration result when the output index is greater than a preset index threshold.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows. Through real-time data collection and multi-level determination and analysis, the system can accurately detect concentration and diffusion anomalies in the sewage treatment process, promptly discover potential problems and make dynamic adjustments, thereby effectively improving the sewage treatment efficiency. By intelligently adjusting the treatment speed, the system can not only optimize resource utilization, reduce over-treatment or under-treatment situations, but also ensure that the treatment process always remains in the best state, improving the treatment quality. At the same time, the correction module corrects the preset concentration threshold according to real-time data, further improving the adaptability and accuracy of the system and enhancing the stability of the treatment process. In addition, the analysis report automatically generated by the system provides accurate decision-making support for managers, helps with scientific management and emergency response, and effectively solves the problem of poor adaptability in the face of complex treatment situations due to relying on static and incomplete theoretical sewage discharge information.

[0046] Furthermore, by comparing the concentration with the preset concentration threshold in real time, the first determination module can promptly identify abnormal white fog concentration situations, ensuring that potential problems can be quickly discovered during the sewage treatment process.

[0047] Furthermore, by dynamically calculating the diffusion speed of the white fog and combining the concentration change information, the second determination module can accurately identify diffusion anomalies during the sewage treatment process, effectively monitoring the diffusion trend of pollutants in the treatment tank.

[0048] Furthermore, by performing detailed calculations and comparisons on the fluctuations of the concentration and diffusion speed, the consistency between the concentration change and the diffusion trend during the sewage treatment process can be more accurately identified, thereby effectively avoiding misjudgments caused by misjudgments due to local fluctuations.

[0049] Furthermore, through the calculation and determination of transparent fluctuations, abnormal fluctuations during the sewage treatment process can be promptly discovered, avoiding unstable treatment effects caused by excessive fluctuations. Flexibly adjusting the treatment speed according to the change of real-time transparency can improve the system response speed and stability.

[0050] Furthermore, by monitoring and calculating the fluctuations in the number of adjusted treatment speeds, this module can promptly identify abnormalities in the change of the treatment speed and make corrections according to the fluctuations, avoiding unstable phenomena during the treatment process.

[0051] Furthermore, by calculating and correcting the deviation of the treatment speed by the correction module, the system's ability to respond to abnormal fluctuations can be significantly improved. Adjusting the preset concentration threshold according to real-time changes can ensure that the sewage treatment process is more flexible and stable, contributing to improving the efficiency and accuracy of sewage treatment.

[0052] Furthermore, the correction unit can adjust the preset concentration threshold precisely according to the actual adjustment deviation, improving the adaptability of the system in a dynamic environment. By reducing the preset concentration threshold, unnecessary overreactions during the treatment process can be effectively reduced, ensuring that the system can operate stably under different working conditions and further enhancing the treatment effect and the response speed of the system.

[0053] Furthermore, through the cooperation of the integration unit and the output unit, the system can comprehensively analyze by precisely combining multiple factors (such as treatment speed and diffusion anomalies), ensuring the comprehensiveness and accuracy of the results. The output analysis report provides intuitive and reliable treatment suggestions for the operator, optimizing the adjustment decision-making in the sewage treatment process and improving the treatment efficiency and the quality of sewage treatment.

[0054] Furthermore, through the standardization of the treatment speed and diffusion anomaly results, the comparison and comprehensive analysis of different parameters are more consistent and accurate. By calculating the weighted sum, the influences of key factors such as treatment speed and duration are integrated, and the output index provides a clear and objective basis for judging the treatment effect. When the output index exceeds the preset threshold, the system can output the analysis report in a timely manner, providing guidance for the optimization and adjustment of the sewage treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of the medical sewage treatment monitoring and analysis system of this embodiment;

[0056] Figure 2 It is a schematic diagram of the first determination module of this embodiment forming the concentration anomaly result;

[0057] Figure 3 It is a schematic diagram of the diffusion determination subunit of this embodiment determining the diffusion anomaly result;

[0058] Figure 4 It is a schematic diagram of the determination unit of this embodiment forming the adjustment determination result. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0059] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0060] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0061] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or component must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention.

[0062] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0063] Please refer to Figure 1 as shown, which is a schematic diagram of the medical sewage treatment monitoring and analysis system of this embodiment;

[0064] This embodiment provides a medical sewage treatment monitoring and analysis system, including:

[0065] A data acquisition module for acquiring the real-time concentration, real-time area, and real-time transparency of the white mist at the monitoring point in the treatment pool that treats sewage at a preset treatment speed;

[0066] A first determination module, which is connected to the data acquisition module, for determining a concentration anomaly result according to the real-time concentration and a preset concentration threshold;

[0067] A second determination module, which is respectively connected to the data acquisition module and the first determination module, for determining a diffusion anomaly result according to the concentration anomaly result, the real-time concentration, and the real-time area;

[0068] A first calculation module, which is respectively connected to the data acquisition module and the second determination module, for calculating a first adjusted treatment speed according to the diffusion anomaly result, the real-time transparency, and the preset treatment speed;

[0069] A second calculation module, which is respectively connected to the first calculation module and the data acquisition module, for calculating a second adjusted treatment speed according to the diffusion anomaly result within a preset speed calculation duration and the preset treatment speed;

[0070] A correction module, which is respectively connected to the first calculation module, the second calculation module, and the first determination module, for correcting the preset concentration threshold according to the first adjusted treatment speed and the second adjusted treatment speed to form a corrected concentration threshold;

[0071] An output module, which is respectively connected to the correction module, the first calculation module, and the second determination module, and is used to output an analysis report according to the first adjusted processing speed and the diffusion anomaly result formed based on the corrected concentration threshold.

[0072] During the medical sewage treatment process, due to biochemical reactions, chemical reactions, or temperature difference evaporation in some treatment ponds, visible aerosols or particulate aggregation phenomena may form above the liquid surface, presenting as a light white or semi-transparent state, which is the "white mist". This white mist is not the natural mist formed due to changes in air humidity in the traditional sense, but is caused by suspended particles formed by organic substances, small molecule reaction products, or pharmaceutical residues escaping from the water body and remaining in the air above the treatment pond.

[0073] The optical sensor module installed above the pond body is used to monitor this white mist area in real time, and obtain its transparency (i.e., light transmittance) and the change in distribution area. On the other hand, the particulate concentration in the pond water is detected by laser scattering or infrared absorption methods, which is used as an important basis for judging reaction anomalies or excessive particulate aggregation. Since there is a correlation between the particulate concentration in the pond body and the visibility of the white mist under certain conditions, a multi-parameter comprehensive calculation model is used to indirectly estimate the "white mist concentration", and compare it with the preset concentration threshold to determine whether there are treatment anomalies or reaction fluctuations in the current state, further supporting the output of system adjustment suggestions and analysis reports.

[0074] The data acquisition module uses sensors and monitoring devices installed in the medical sewage treatment pond to collect the concentration, area, and transparency of the white mist in the treatment pond in real time. Specifically, the concentration data is obtained by the laser particle counting module to obtain the number density of suspended particles in the white mist, the area data is obtained by the top camera combined with image recognition algorithms to determine the boundary and calculate the diffusion area of the white mist, and the transparency is detected by the optical transmittance sensor to detect the attenuation degree of light in a specific band after penetrating the white mist, so as to continuously obtain complete white mist state parameters at high frequency at different time points.

[0075] The preset processing speed refers to the flow rate or processing capacity of the sewage flowing through the treatment pond during the medical sewage treatment process, which is usually set according to the design capacity of the treatment facility, the treatment target, and the flow rate of the sewage. For medical sewage, the processing speed should ensure the efficient removal of harmful substances in it. Considering the special components of the wastewater, it is generally set between 1 m 3 / h and 3 m 3 / h. In this embodiment, the preset processing speed is set to 2 m 3 / h, which can not only ensure the effective treatment of medical sewage, but also avoid insufficient treatment effect caused by too fast processing, or resource waste and long treatment cycle caused by too slow processing.

[0076] The preset concentration threshold is the standard for judging whether the concentration of white mist in medical sewage is abnormal. For medical sewage, the concentration threshold is usually set according to environmental safety standards and health standards. Considering that medical sewage may contain components such as bacteria, viruses, and drug residues, it is usually set between 0.1 mg / L and 5 mg / L. In this embodiment, the preset concentration threshold is set to 2 mg / L, which can timely identify and process abnormal concentrations of white mist to ensure that the discharge after sewage treatment meets environmental and health safety standards.

[0077] By collecting the sewage concentration, area, and transparency data in the treatment tank in real time, and relying on the collaborative work of multiple modules for comprehensive analysis. First, the data acquisition module obtains real-time data, and the first determination module judges whether the concentration is abnormal according to the concentration and the preset threshold. Then, the second determination module combines data such as concentration abnormality and area to judge diffusion abnormality. Next, the first calculation module adjusts the treatment speed based on factors such as diffusion abnormality and transparency. The second calculation module calculates the second adjusted treatment speed according to the diffusion situation. The correction module corrects the preset concentration threshold according to the adjusted speeds of both, and generates a corrected concentration threshold. Finally, the output module integrates all analysis results, generates a final analysis report, and provides a basis for optimization and adjustment.

[0078] Through real-time data collection and multi-level determination and analysis, the system can accurately detect concentration and diffusion abnormalities in the sewage treatment process, timely discover potential problems and make dynamic adjustments, thereby effectively improving the sewage treatment efficiency. By intelligently adjusting the treatment speed, the system can not only optimize resource utilization, reduce over-treatment or under-treatment situations, but also ensure that the treatment process always remains in the best state and improve the treatment quality. At the same time, the correction module corrects the preset concentration threshold according to real-time data, further improving the adaptability and accuracy of the system and enhancing the stability of the treatment process. In addition, the analysis report automatically generated by the system provides accurate decision-making support for managers, helps with scientific management and emergency response, and effectively solves the problem of poor adaptability to complex treatment situations due to relying on static and incomplete theoretical sewage discharge information.

[0079] Please continue to refer to Figure 2 as shown, which is a schematic diagram of the first determination module in this embodiment forming a concentration abnormality result;

[0080] Specifically, the first determination module includes:

[0081] A concentration comparison unit for comparing the real-time concentration and the preset concentration threshold to form a concentration comparison result;

[0082] A first determination unit, which is connected to the concentration comparison unit, and is used to determine that the white mist appears abnormally when the concentration comparison result is that the real-time concentration is greater than the preset concentration threshold, and form a concentration abnormality result.

[0083] The first determination module compares the real-time concentration with the preset concentration threshold through the concentration comparison unit to generate a concentration comparison result. If the real-time concentration is greater than the preset concentration threshold, the first determination unit confirms the white fog abnormal situation and generates a concentration abnormal result. By comparing the real-time data with the preset standard, the abnormal situation of concentration exceeding the standard can be identified in time, ensuring the accuracy of the treatment process.

[0084] By comparing the concentration with the preset concentration threshold in real time, the first determination module can identify the abnormal situation of white fog concentration in time, ensuring that potential problems can be quickly discovered during the sewage treatment process.

[0085] Specifically, the second determination module includes:

[0086] A diffusion speed calculation unit for calculating the diffusion speed based on the difference in the real-time area at adjacent times.

[0087] A second determination unit, connected to the diffusion speed unit, for determining the diffusion abnormal result according to the concentration abnormal result, the diffusion speed, and the real-time concentration.

[0088] First, the diffusion speed calculation unit calculates the diffusion speed of the white fog based on the difference in the real-time area at adjacent times. Then, the second determination unit combines the concentration abnormal result, the diffusion speed, and the real-time concentration to comprehensively analyze the diffusion pattern, thereby determining whether there is a diffusion abnormality and forming a diffusion abnormal result.

[0089] By dynamically calculating the diffusion speed of the white fog and combining the concentration change information, the second determination module can accurately identify the diffusion abnormal situation during the sewage treatment process and effectively monitor the diffusion trend of pollutants in the treatment tank.

[0090] Please continue to refer to Figure 3 as shown, which is a schematic diagram of the diffusion determination subunit of this embodiment for determining the diffusion abnormal result;

[0091] Specifically, the second determination unit includes:

[0092] A concentration fluctuation calculation subunit for calculating the standard deviation of the real-time concentration within a preset fluctuation calculation duration to form a concentration fluctuation value.

[0093] A diffusion fluctuation calculation subunit for calculating the standard deviation of the diffusion speed within the preset fluctuation calculation duration to form a diffusion fluctuation value.

[0094] A consistency calculation subunit, connected to the concentration fluctuation calculation subunit and the diffusion fluctuation calculation subunit respectively, for calculating the relative deviation between the concentration fluctuation value and the diffusion fluctuation value to form a consistency.

[0095] A diffusion determination subunit, which is connected to the consistency calculation subunit and is used to determine the diffusion anomaly result according to the concentration anomaly result when the consistency is less than a preset consistency threshold.

[0096] The preset consistency threshold is a standard for judging the relative deviation between the concentration fluctuation and the diffusion fluctuation, and depends on the fluctuation tolerance and system stability requirements in the actual sewage treatment process. It is usually set between 0.1 and 0.3. In this embodiment, it is set to 0.2, which can balance the system's sensitivity to fluctuations and avoid overreaction, so as to effectively identify abnormal diffusion situations, improve the stability of the treatment process, and avoid premature or delayed intervention.

[0097] First, the concentration fluctuation calculation subunit and the diffusion fluctuation calculation subunit respectively calculate the standard deviations of the real-time concentration and the diffusion velocity within a preset fluctuation calculation duration to obtain the concentration fluctuation value and the diffusion fluctuation value. Then, the consistency calculation subunit forms a consistency value by calculating the relative deviation between the concentration fluctuation value and the diffusion fluctuation value. Finally, the diffusion determination subunit determines whether the consistency is less than the preset consistency threshold. If so, it further determines whether there is a diffusion anomaly according to the concentration anomaly result to form a diffusion anomaly result.

[0098] By calculating and comparing the fluctuations of the concentration and the diffusion velocity in detail, the consistency between the concentration change and the diffusion trend in the sewage treatment process can be identified more accurately, thus effectively avoiding misjudgment caused by local fluctuations.

[0099] Please continue to refer to Figure 4 as shown, which is a schematic diagram of the determination unit in this embodiment forming an adjustment determination result;

[0100] Specifically, the first calculation module includes:

[0101] A transparency fluctuation calculation unit, which is used to calculate the standard deviation of the real-time transparency within a preset adjustment duration to form a transparency fluctuation value;

[0102] A determination unit, which is connected to the transparency fluctuation calculation unit and is used to determine that the preset treatment speed needs to be adjusted according to the diffusion anomaly result when the transparency fluctuation value is greater than a preset transparency fluctuation threshold to form an adjustment determination result;

[0103] A first calculation unit, which is connected to the determination unit and is used to calculate the first adjusted treatment speed according to the relative deviation between the adjustment determination result, the transparency fluctuation value and the preset transparency fluctuation threshold, a preset adjustment coefficient, and the preset treatment speed, where V' = V × [1 + k × (Q - Q0) / Q0], V' is the first adjusted treatment speed, k is the preset adjustment coefficient, Q is the transparency fluctuation value, and Q0 is the preset transparency fluctuation threshold.

[0104] The preset transparency fluctuation threshold refers to the maximum allowable value of the standard deviation of transparency fluctuations within a certain time period, which depends on the requirement of the sewage treatment system for transparency stability and the fluctuation range during the treatment process. It is usually set between 0.1 and 0.5. In this embodiment, it is set to 0.3, which can ensure that the transparency fluctuation remains within a reasonable range, avoid unstable treatment efficiency caused by excessive fluctuations, and at the same time avoid overly strict standards that affect the system response speed.

[0105] The preset adjustment coefficient is a constant coefficient used to adjust the intensity of fluctuation correction during the adjustment of the treatment speed. It is usually used to control the deviation within a certain range and depends on the sensitivity of the system to adjustment response and the stability requirement of treatment speed correction. It needs to balance the need for quick response to fluctuations and the need to avoid over-adjustment. It is usually set between 0.5 and 2.0. In this embodiment, it is set to 1.0, which can effectively respond to the fluctuations of transparency and diffusion speed and avoid over-correction through reasonable adjustment intensity, enabling the system to have good adaptability while maintaining stability.

[0106] The transparent fluctuation calculation unit calculates the real-time transparency standard deviation within the preset adjustment duration to obtain the transparent fluctuation value. Then, the determination unit determines whether to adjust the preset treatment speed based on the comparison result between the transparent fluctuation value and the preset transparency fluctuation threshold. If the transparent fluctuation value is greater than the preset threshold, the system will calculate the first adjusted treatment speed according to the relative deviation between the diffusion anomaly result and the transparent fluctuation value, the preset adjustment coefficient, and the preset treatment speed to achieve appropriate adjustment of the sewage treatment process.

[0107] Through the calculation and determination of transparent fluctuations, fluctuations and anomalies in the sewage treatment process can be detected in a timely manner, avoiding unstable treatment effects caused by excessive fluctuations. Flexibly adjusting the treatment speed according to the change of real-time transparency can improve the system response speed and stability.

[0108] Specifically, the second calculation module includes:

[0109] A quantity fluctuation calculation unit for calculating the standard deviation of the quantity of the adjusted treatment speed to form a quantity fluctuation value;

[0110] A second calculation unit, connected to the quantity fluctuation calculation unit, for calculating the second adjusted treatment speed according to the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold, the preset calculation coefficient, and the preset treatment speed when the quantity fluctuation value is greater than the preset quantity fluctuation threshold, where V” = V × [1 - s × (N - N0) / N0], V” is the second adjusted treatment speed, s is the preset calculation coefficient, N is the quantity fluctuation value, and N0 is the preset quantity fluctuation threshold.

[0111] The preset quantity fluctuation threshold refers to the maximum allowable value of the standard deviation of the quantity of the adjustment processing speed within a period of time, which depends on the stability requirements of the processing speed adjustment and the system's demand for the smooth operation of the processing process. It is usually set between 0.05 and 0.2. In this embodiment, it is set to 0.1, which can maintain the stability of the processing speed adjustment, avoid excessive fluctuations, ensure that each adjustment during the sewage treatment process is within an acceptable range, and thus guarantee the continuous and stable operation of the system.

[0112] The preset calculation coefficient is a constant coefficient used to adjust the calculation process of the processing speed. It depends on the system's sensitivity requirements for the adjustment response and its stability consideration. It is usually set between 0.5 and 2.0. In this embodiment, it is set to 1.0, which can make the adjustment coefficient maintain an appropriate sensitivity, can effectively respond to fluctuations, and will not adjust the processing speed too frequently, thus avoiding unnecessary overcorrection and improving the sewage treatment efficiency.

[0113] The standard deviation of the quantity of the adjustment processing speed is calculated by the quantity fluctuation calculation unit to obtain the quantity fluctuation value. Then, the second calculation unit determines whether it is necessary to further adjust the processing speed according to the comparison result between the quantity fluctuation value and the preset quantity fluctuation threshold. When the quantity fluctuation value is greater than the preset threshold, the system will calculate the second adjusted processing speed according to the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold, the preset calculation coefficient, and the preset processing speed to ensure the smoothness and efficiency of the processing process.

[0114] By monitoring and calculating the fluctuations in the quantity of the adjustment processing speed, this module can timely identify abnormalities in the change of the processing speed and make corrections according to the fluctuation situation to avoid unstable phenomena during the processing process.

[0115] Specifically, the correction module includes:

[0116] An adjustment deviation calculation unit for calculating the relative deviation between the first adjusted processing speed and the second adjusted processing speed to form an adjustment deviation;

[0117] A correction unit connected to the adjustment deviation calculation unit for correcting the preset concentration threshold according to the adjustment deviation to form a corrected concentration threshold.

[0118] The relative deviation between the first adjusted processing speed and the second adjusted processing speed is calculated by the adjustment deviation calculation unit to obtain the adjustment deviation. Then, the correction unit uses this adjustment deviation to correct the preset concentration threshold, thereby forming a corrected concentration threshold. This process ensures that the system can more accurately respond to changes and fluctuations during the sewage treatment process by adjusting the concentration threshold according to the actual processing situation.

[0119] By calculating and correcting the deviation of the processing speed through the correction module, the system's ability to respond to abnormal fluctuations can be significantly improved. Adjusting the preset concentration threshold according to real-time changes can ensure that the sewage treatment process is more flexible and stable, which helps to improve the efficiency and accuracy of sewage treatment.

[0120] Specifically, the correction unit includes:

[0121] A deviation comparison subunit for comparing the adjustment deviation and the preset deviation threshold to form a deviation comparison result;

[0122] A correction subunit connected to the deviation comparison subunit for reducing the preset concentration threshold according to the relative deviation between the adjustment deviation and the preset deviation threshold and a preset correction coefficient when the deviation comparison result shows that the adjustment deviation is greater than the preset deviation threshold, to form a corrected concentration threshold, W’ = W × [1 - e × (Y - Y0) / Y0], where W’ is the corrected concentration threshold, W is the preset concentration threshold, e is the preset correction coefficient, Y is the adjustment deviation, and Y0 is the preset deviation threshold.

[0123] The preset deviation threshold is the critical value in the system for judging whether the adjustment deviation reaches the level that requires correction. It depends on the system's error tolerance and processing accuracy requirements and is usually set within a reasonable range to avoid overcorrection while ensuring an effective response. In this embodiment, it is set to 0.05, which helps to avoid overly frequent adjustments while ensuring the stability and response sensitivity of the system.

[0124] The preset correction coefficient is used to adjust the correction amplitude of the preset concentration threshold. It depends on the system's adjustment requirements and the fineness of correction and is usually obtained based on experiments or historical data analysis. In this embodiment, it is set to 0.1, which can accurately control the response sensitivity of the system in actual operation and avoid the instability caused by overadjustment.

[0125] First, the deviation comparison subunit compares the adjustment deviation with the preset deviation threshold to form a deviation comparison result. When the adjustment deviation is greater than the preset deviation threshold, the correction subunit will reduce the preset concentration threshold according to the relative deviation between the adjustment deviation and the preset deviation threshold and the preset correction coefficient, thereby forming a corrected concentration threshold. This process adjusts the threshold according to the actual deviation to better adapt to the fluctuations occurring in the sewage treatment process.

[0126] The correction unit can accurately adjust the preset concentration threshold according to the actual adjustment deviation, improving the system's adaptability in a dynamic environment. By reducing the preset concentration threshold, unnecessary overreactions in the processing can be effectively reduced, ensuring that the system can operate stably under different working conditions and further improving the processing effect and the system's response speed.

[0127] Specifically, the output module includes:

[0128] An integration unit for integrating the first adjusted processing speed and the diffusion anomaly result to form an integration result;

[0129] An output unit connected to the integration unit for outputting the analysis report according to the integration result.

[0130] First, the integration unit integrates the first adjusted processing speed and the diffusion anomaly result into a comprehensive result. Then, the output unit generates and outputs the analysis report according to the integration result. The integration process ensures that various parameters and anomaly results can be considered uniformly, thereby providing comprehensive analysis and processing feedback. The output of the analysis report provides a basis for subsequent decision-making, ensuring the adjustment and optimization of the sewage treatment process.

[0131] Through the cooperation of the integration unit and the output unit, the system can accurately combine multiple factors (such as processing speed and diffusion anomaly) for comprehensive analysis, ensuring the comprehensiveness and accuracy of the results. The output analysis report provides intuitive and reliable processing suggestions for operators, optimizes the adjustment decision-making in the sewage treatment process, and improves the processing efficiency and the quality of sewage treatment.

[0132] Specifically, the integration unit includes:

[0133] A normalization sub-unit for normalizing the first adjusted processing speed to form a standard speed, and normalizing the total duration of the diffusion anomaly result to form a standard duration;

[0134] An exponential calculation sub-unit connected to the normalization sub-unit for performing weighted sum calculation according to a preset processing speed weight, a preset duration weight, the standard speed, and the standard duration to form an output index;

[0135] An output unit sub connected to the exponential calculation sub-unit for outputting the analysis report according to the integration result when the output index is greater than a preset index threshold.

[0136] The preset processing speed weight is used to measure the influence degree of the processing speed on the sewage treatment effect, depending on the priority of the speed in the treatment system and its influence on the overall efficiency and quality control. It is generally set between 0 and 1. In this embodiment, the preset processing speed weight is set to 0.6, which can ensure that the sewage treatment process can complete the treatment task relatively quickly, thereby improving the overall treatment efficiency.

[0137] The preset duration weight measures the importance of the duration of the diffusion anomaly result to the overall system judgment. It depends on the impact of the anomaly duration on system performance, stability, and the accuracy of processing results. It is usually set between 0 and 1. In this embodiment, the preset duration weight is set to 0.4, indicating that the priority of processing speed is higher than the control of duration. This can ensure the processing efficiency while taking into account the stability and accuracy of the system, and improve the comprehensive optimization ability of the system.

[0138] The preset exponential threshold is a standard value set in the sewage treatment monitoring and analysis system, which depends on the system's treatment goals, the type of sewage, the treatment capacity of sewage treatment equipment, historical treatment data, and the desired treatment effect. It is usually set between 0 and 1. In this embodiment, setting it to 0.7 can ensure that the system can promptly identify potential problems in the treatment process, prevent low sewage treatment efficiency or serious abnormal situations, and at the same time avoid overly frequent adjustments.

[0139] The normalization subunit first performs normalization processing, normalizing the first adjusted processing speed and the total duration of the diffusion anomaly result respectively to form a standard speed and a standard duration. Then, the exponential calculation subunit calculates the output exponent through weighted summation according to the preset processing speed weight, duration weight, and the normalized data. Finally, the output unit compares the output exponent with the preset exponential threshold. If the output exponent is greater than the threshold, it generates and outputs an analysis report, reflecting the anomalies and adjustment suggestions in the sewage treatment process.

[0140] Through the normalization processing of the processing speed and the diffusion anomaly result, the comparison and comprehensive analysis of different parameters are made more consistent and accurate. Through weighted summation calculation, the influences of key factors such as processing speed and duration are integrated, and the obtained output exponent provides a clear and objective basis for judging the treatment effect. When the output exponent exceeds the preset threshold, the system can promptly output an analysis report to provide guidance for the optimization and adjustment of the sewage treatment process.

[0141] In the process of a certain medical sewage treatment, the processing speed is 10m 3 / h, and the total duration of the diffusion anomaly is 2 hours. Assume that the preset processing speed weight is 0.6 and the duration weight is 0.4.

[0142] Normalization processing:

[0143] Assume that after normalization processing, the processing speed is normalized to 0.8, and the duration of the diffusion anomaly is normalized to 0.5.

[0144] Weighted summation:

[0145] According to the normalized data and the preset weights, calculate the output exponent:

[0146] The output exponent p = (0.8 × 0.6) + (0.5 × 0.4) = 0.48 + 0.2 = 0.68.

[0147] Judge the output:

[0148] The preset exponent threshold is 0.7. If the output exponent is 0.68, which is lower than the threshold, an analysis report will not be generated, indicating that the current sewage treatment status is relatively normal and no further adjustment is required.

[0149] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0150] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A medical sewage treatment monitoring and analysis system, characterized in that Including: A data acquisition module for acquiring the real-time concentration, real-time area, and real-time transparency of the white mist at the monitoring point in the treatment pool that treats sewage at a preset treatment speed; A first determination module connected to the data acquisition module for determining a concentration anomaly result based on the real-time concentration and a preset concentration threshold; A second determination module connected to the data acquisition module and the first determination module respectively for determining a diffusion anomaly result based on the concentration anomaly result, the real-time concentration, and the real-time area; A first calculation module connected to the data acquisition module and the second determination module respectively for calculating a first adjusted treatment speed based on the diffusion anomaly result, the real-time transparency, and the preset treatment speed; A second calculation module connected to the first calculation module and the data acquisition module respectively for calculating a second adjusted treatment speed based on the diffusion anomaly result and the preset treatment speed within a preset speed calculation duration; A correction module connected to the first calculation module, the second calculation module, and the first determination module respectively for correcting the preset concentration threshold based on the first adjusted treatment speed and the second adjusted treatment speed to form a corrected concentration threshold; An output module connected to the correction module, the first calculation module, and the second determination module respectively for outputting an analysis report based on the first adjusted treatment speed formed based on the corrected concentration threshold and the diffusion anomaly result.

2. The medical sewage treatment monitoring and analysis system according to claim 1, wherein The first determination module includes: A concentration comparison unit for comparing the real-time concentration and the preset concentration threshold to form a concentration comparison result; A first determination unit connected to the concentration comparison unit for determining that the white mist appears abnormally when the concentration comparison result is that the real-time concentration is greater than the preset concentration threshold, and forming a concentration anomaly result.

3. The medical sewage treatment monitoring and analysis system according to claim 2, wherein The second determination module includes: A diffusion speed calculation unit for calculating the difference in the real-time area at adjacent moments to obtain a diffusion speed; A second determination unit connected to the diffusion speed unit for determining the diffusion anomaly result based on the concentration anomaly result, the diffusion speed, and the real-time concentration.

4. The medical sewage treatment monitoring and analysis system according to claim 3, wherein The second determination unit includes: A concentration fluctuation calculation sub-unit for calculating the standard deviation of the real-time concentration within a preset fluctuation calculation duration to form a concentration fluctuation value; A diffusion fluctuation calculation sub-unit for calculating the standard deviation of the diffusion speed within the preset fluctuation calculation duration to form a diffusion fluctuation value; A consistency calculation sub-unit connected to the concentration fluctuation calculation sub-unit and the diffusion fluctuation calculation sub-unit respectively for calculating the relative deviation between the concentration fluctuation value and the diffusion fluctuation value to form a consistency; A diffusion determination sub-unit connected to the consistency calculation sub-unit for determining the diffusion anomaly result based on the concentration anomaly result when the consistency is less than a preset consistency threshold.

5. The medical sewage treatment monitoring and analysis system according to claim 4, wherein The first calculation module includes: A transparency fluctuation calculation unit for calculating the standard deviation of the real-time transparency within a preset adjustment duration to form a transparency fluctuation value; A determination unit, connected to the transparent fluctuation calculation unit, for determining that the preset processing speed needs to be adjusted according to the diffusion anomaly result when the transparent fluctuation value is greater than a preset transparent fluctuation threshold, and forming an adjustment determination result; A first calculation unit, connected to the determination unit, for calculating the first adjusted processing speed according to the adjustment determination result, the relative deviation between the transparent fluctuation value and the preset transparent fluctuation threshold, a preset adjustment coefficient, and the preset processing speed.

6. The medical sewage treatment monitoring and analysis system according to claim 5, wherein, The second calculation module includes: A quantity fluctuation calculation unit for calculating the standard deviation of the quantity of the adjusted processing speed to form a quantity fluctuation value; A second calculation unit, connected to the quantity fluctuation calculation unit, for calculating the second adjusted processing speed according to the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold, a preset calculation coefficient, and the preset processing speed when the quantity fluctuation value is greater than the preset quantity fluctuation threshold.

7. The medical sewage treatment monitoring and analysis system according to claim 6, wherein, The correction module includes: An adjustment deviation calculation unit for calculating the relative deviation between the first adjusted processing speed and the second adjusted processing speed to form an adjustment deviation; A correction unit, connected to the adjustment deviation calculation unit, for correcting the preset concentration threshold according to the adjustment deviation to form a corrected concentration threshold.

8. The medical sewage treatment monitoring and analysis system according to claim 7, wherein The correction unit includes: A deviation comparison sub-unit for comparing the adjustment deviation with a preset deviation threshold to form a deviation comparison result; A correction sub-unit, connected to the deviation comparison sub-unit, for reducing the preset concentration threshold according to the relative deviation between the adjustment deviation and the preset deviation threshold and a preset correction coefficient to form a corrected concentration threshold when the deviation comparison result is that the adjustment deviation is greater than the preset deviation threshold.

9. The medical sewage treatment monitoring and analysis system according to claim 8, characterized in that, The output module includes: An integration unit for integrating the first adjusted processing speed and the diffusion anomaly result to form an integration result; An output unit, connected to the integration unit, for outputting the analysis report according to the integration result.

10. The medical sewage treatment monitoring and analysis system according to claim 9, characterized in that, The integration unit includes: A normalization sub-unit for normalizing the first adjusted processing speed to form a standard speed, and normalizing the total duration of the diffusion anomaly result to form a standard duration; An exponential calculation sub-unit, connected to the normalization sub-unit, for performing a weighted sum calculation according to a preset processing speed weight, a preset duration weight, the standard speed, and the standard duration to form an output index; An output unit sub, connected to the exponential calculation sub-unit, for outputting the analysis report according to the integration result when the output index is greater than a preset index threshold.

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