Disinfectant addition control method, system, equipment and medium

Abstract

The invention provides a disinfectant adding control method, system, equipment and medium, and relates to the technical field of environmental protection, the method comprises the following steps: in combination with the sewage amount and water quality parameters of medical sewage and a first disinfection scheme, obtaining the sewage type and the first sewage amount of first sewage discharged by each department, and in combination with the sewage type and the first sewage amount, calculating an influence coefficient; according to the influence coefficient, adjusting the first disinfection scheme to generate a second disinfection scheme; acquiring operation state parameters and environment parameters of the sewage treatment equipment, and generating an adjustment coefficient in combination with the operation state parameters and the environment parameters; according to the adjustment coefficient, adjusting the second disinfection scheme to generate a target disinfection scheme, and sending the target disinfection scheme to the sewage treatment equipment, so that the sewage treatment equipment treats the medical sewage according to the target disinfection scheme. The disinfectant adding device has the technical effect that the disinfectant adding precision is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental protection, in particular to a disinfectant dosing control method, system, device and medium. BACKGROUND

[0002] With the continuous expansion of medical institutions and the improvement of medical service quality requirements, the treatment of medical wastewater has become an important link in the operation of hospitals. Medical wastewater contains a large amount of pathogenic microorganisms, organic pollutants and chemical residue, and if not properly treated, it will pose a serious threat to the environment and public health.

[0003] At present, the fixed dosing mode or simple proportional dosing method based on a single water quality parameter is usually used to solve the disinfection problem of medical wastewater. For example, a fixed disinfectant dosage is set according to the COD value or total number of bacteria of the wastewater, or a certain proportion of disinfectant is added according to the wastewater flow. These methods can achieve wastewater disinfection treatment to some extent, but due to the significant difference in the composition of wastewater discharged by different departments, the fluctuation of wastewater quantity is large, and complex chemical reactions will occur after the wastewater of each department is mixed, so it is difficult to achieve precise control by using the traditional disinfectant dosing method, resulting in low precision of disinfectant dosing. SUMMARY

[0004] The present application provides a disinfectant dosing control method, system, device and medium for improving the dosing precision of disinfectant.

[0005] In a first aspect, the present application provides a disinfectant dosing control method, which comprises: obtaining the wastewater quantity and water quality parameters of medical wastewater in a wastewater treatment device, combining the wastewater quantity and the water quality parameters to generate a first disinfection scheme for the medical wastewater, the medical wastewater being formed by mixing first wastewater discharged by multiple departments, the first disinfection scheme including the dosing quantity and dosing time interval of disinfectant; obtaining the wastewater types and first wastewater quantities of the first wastewater discharged by each department, combining the wastewater types and the first wastewater quantities to calculate the influence coefficient between the first wastewater discharged by each department; adjusting the first disinfection scheme according to the influence coefficient to generate a second disinfection scheme; obtaining the operating state parameters and environmental parameters of the wastewater treatment device, combining the operating state parameters and the environmental parameters to generate an adjustment coefficient; adjusting the second disinfection scheme according to the adjustment coefficient to generate a target disinfection scheme, and sending the target disinfection scheme to the wastewater treatment device to make the wastewater treatment device treat the medical wastewater according to the target disinfection scheme.

[0006] By adopting the above technical solution, a first disinfection plan is generated by acquiring the wastewater volume and water quality parameters of medical wastewater from the wastewater treatment equipment. Further, the type and volume of the first wastewater discharged from each department are acquired, and influence coefficients are calculated to adjust the first disinfection plan, generating a second disinfection plan. Then, by combining the operating status parameters and environmental parameters of the wastewater treatment equipment, adjustment coefficients are generated to further adjust the second disinfection plan, resulting in the target disinfection plan. This achieves multi-level and multi-dimensional precise control. This method fully considers the complex characteristics of medical wastewater formed by the mixing of first wastewater discharged from multiple departments. Through the gradual optimization of influence and adjustment coefficients, the dosage and time interval of disinfectant are made more precise and reasonable, effectively improving the disinfection treatment effect and the accuracy of disinfectant dosing.

[0007] Secondly, this application provides a disinfectant dosing control system, the system comprising: a first acquisition module, a second acquisition module, a first adjustment module, a third acquisition module, and a second adjustment module; wherein, The first acquisition module is used to acquire the wastewater volume and water quality parameters of medical wastewater in the wastewater treatment equipment, and generate a first disinfection plan for the medical wastewater based on the wastewater volume and water quality parameters. The medical wastewater is formed by the mixture of first wastewater discharged from multiple departments. The first disinfection plan includes the dosage of disinfectant and the time interval between dosing. The second acquisition module is used to acquire the wastewater type and first wastewater volume of the first wastewater discharged from each of the departments, and calculate the influence coefficient between the first wastewater discharged from each department based on the wastewater type and the first wastewater volume. The first adjustment module is used to adjust the first disinfection plan according to the influence coefficient to generate a second disinfection plan. The third acquisition module is used to acquire the operating status parameters and environmental parameters of the wastewater treatment equipment, and generate an adjustment coefficient based on the operating status parameters and the environmental parameters. The second adjustment module is used to adjust the second disinfection plan according to the adjustment coefficient to generate a target disinfection plan, and send the target disinfection plan to the wastewater treatment equipment so that the wastewater treatment equipment treats the medical wastewater according to the target disinfection plan.

[0008] Thirdly, this application provides an electronic device that adopts the following technical solution: it includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to make the electronic device execute a computer program such as any of the above-described disinfectant dosing control methods.

[0009] Fourthly, this application provides a computer-readable storage medium that stores a computer program capable of being loaded by a processor and executing any of the above-mentioned disinfectant dosing control methods.

[0010] In summary, this application includes at least one of the following beneficial technical effects: By acquiring the wastewater volume and water quality parameters of medical wastewater from the wastewater treatment equipment, a first disinfection plan is generated. Further, the type and volume of the first wastewater discharged from each department are acquired, and influence coefficients are calculated to adjust the first disinfection plan, generating a second disinfection plan. Then, by combining the operating status parameters and environmental parameters of the wastewater treatment equipment, adjustment coefficients are generated to further adjust the second disinfection plan, resulting in the target disinfection plan. This achieves multi-level and multi-dimensional precise control. This method fully considers the complex characteristics of medical wastewater formed by the mixing of first wastewater from multiple departments. Through the gradual optimization of influence and adjustment coefficients, the dosage and time interval of disinfectant are made more precise and reasonable, effectively improving the disinfection treatment effect and the accuracy of disinfectant dosing. Attached Figure Description

[0011] Figure 1 This is a schematic flowchart of a disinfectant dosing control method provided in an embodiment of this application; Figure 2 This is a schematic diagram of a scenario provided in an embodiment of this application; Figure 3 This is a schematic diagram of a disinfectant dosing control system provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0012] Explanation of reference numerals in the attached figures: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. Detailed Implementation

[0013] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0014] In the description of the embodiments in this application, words such as "illustrative," "for example," or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "illustrative," "for example," or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of words such as "illustrative," "for example," or "for example" is intended to present the relevant concepts in a specific manner.

[0015] Figure 1This is a schematic flowchart of a disinfectant dosing control method provided in an embodiment of this application. Figure 1 As shown, the method includes S101-S105: S101, Obtain the wastewater volume and water quality parameters of medical wastewater in the wastewater treatment equipment, and generate a first disinfection plan for medical wastewater based on the wastewater volume and water quality parameters. The medical wastewater is formed by the mixture of first wastewater discharged from multiple departments. The first disinfection plan includes the dosage of disinfectant and the dosing time interval.

[0016] The system first acquires real-time data on the volume and quality parameters of medical wastewater using flow meters and multi-parameter water quality analyzers deployed at the inlet of the wastewater treatment equipment. Wastewater volume is continuously monitored using electromagnetic flow meters to obtain actual wastewater flow data per unit time. This data is crucial for determining the overall demand for disinfectant, as different wastewater volumes directly affect the disinfectant's dilution rate and contact time. Water quality parameters are acquired through an integrated multi-parameter sensor array. Key monitoring indicators include pollutant concentration, pH value, turbidity, dissolved oxygen, and conductivity. These parameters comprehensively reflect the pollution characteristics and disinfection difficulty of medical wastewater.

[0017] Due to the unique nature of medical wastewater, which is formed by the mixing of primary wastewater from multiple departments (such as operating rooms, laboratories, and radiology departments), the primary wastewater generated by these departments has different pollutant compositions and concentrations. Therefore, disinfection strategies need to be developed based on the overall water quality after mixing. The system analyzes the acquired water quality parameters to first determine the types and concentration levels of major pollutants in the wastewater, paying particular attention to pathogen indicators, organic matter content, and chemical pollutant concentrations. These indicators directly determine the type of disinfectant selected and the required basic dosage.

[0018] In generating the first disinfection plan, the system uses a pre-defined disinfectant dosage table as the basic calculation model. This table, established based on extensive experimental data and industry standards, includes recommended disinfectant dosage ranges for different combinations of water quality parameters. The system searches for matching baseline dosage values ​​in the table based on real-time monitored parameters such as pollutant concentration, pH, and turbidity. Simultaneously considering the influence of wastewater volume, the specific disinfectant dosage is determined by multiplying the wastewater flow rate per unit time by the baseline dosage. This calculation method ensures precise matching between the disinfectant dosage and the actual wastewater load, avoiding the waste or insufficient disinfection problems caused by traditional fixed-dosage methods.

[0019] The determination of the dosing interval is based on the disinfection contact time requirements and the characteristics of wastewater flow variation. The system calculates the wastewater residence time in the reactor based on the current wastewater flow rate and the volume parameters of the disinfection reactor. Combining this with the reaction kinetics of the disinfectant and pollutants, the optimal dosing interval is determined to ensure that the disinfectant can fully contact and react with pathogens and organic pollutants in the wastewater. The generated first disinfection scheme serves as the basic framework for subsequent optimization and adjustments. The disinfectant dosage represents the theoretical amount of disinfectant required under the current water quality conditions, while the dosing interval represents the time interval between two consecutive dosing operations. These two core parameters together constitute the initial disinfection control strategy for mixed medical wastewater.

[0020] Based on the above embodiments, as an optional implementation method, in S101, the first disinfection scheme for medical wastewater, which combines the wastewater volume and water quality parameters, specifically includes S11-S15: S11. Based on the pollutant concentration, pH value, and turbidity in the water quality parameters, determine the initial disinfectant requirement for medical wastewater from the preset disinfectant dosage correspondence table.

[0021] The system determines the initial disinfectant requirement for medical wastewater based on three key indicators: pollutant concentration, pH value, and turbidity, from a pre-defined disinfectant dosage table. This table is a multi-dimensional database built upon extensive experimental data and theoretical analysis. It establishes a three-dimensional mapping relationship based on pollutant concentration levels, pH ranges, and turbidity levels, covering various common water quality combinations in medical wastewater. Pollutant concentration is the primary basis for determining the initial disinfectant requirement, as it directly determines the total amount of harmful substances that need to be neutralized or killed. The system categorizes pollutant concentrations into low, medium, and high levels, each corresponding to different basic dosage requirements. pH value primarily affects disinfectant activity. When the pH value deviates from the neutral range, the bactericidal efficiency of some disinfectants, such as hypochlorous acid, decreases significantly, requiring a corresponding increase in dosage for compensation. Turbidity reflects the suspended solids content in wastewater. High turbidity interferes with the direct contact between the disinfectant and pathogens, reducing the disinfection effect; therefore, an additional compensation dosage needs to be added on top of the basic dosage.

[0022] The system determines the initial disinfectant requirement using a multi-parameter lookup table algorithm. First, a baseline requirement is determined based on pollutant concentration. Then, a pH correction factor is calculated based on the degree of pH deviation, followed by a turbidity correction factor based on the turbidity level. The final initial disinfectant requirement equals the product of the baseline requirement multiplied by the pH and turbidity correction factors, respectively. This tiered correction calculation method ensures that the impact of each water quality parameter is accurately quantified and reasonably reflected, avoiding over-correction or under-correction problems that may result from simple aggregation.

[0023] S12, calculate the sewage flow rate per unit time based on the sewage volume.

[0024] The system calculates the wastewater flow rate per unit time based on real-time monitored wastewater volume data using a time window analysis method. Accurate wastewater flow rate calculation is crucial for determining the disinfectant dosage and timing, as flow rate directly affects the concentration distribution and contact time of the disinfectant in the wastewater. The system employs a moving average algorithm to smooth the continuously monitored wastewater volume data, eliminating the impact of instantaneous fluctuations on flow rate calculation. The length of the moving average window is dynamically adjusted based on the wastewater discharge characteristics of the medical institution, typically set to 15-30 minutes, reflecting the true flow rate trend while filtering out short-term abnormal fluctuations. By dividing the cumulative wastewater volume within a specific time window by the corresponding time length, the system obtains an accurate wastewater flow rate per unit time, which becomes a crucial foundational parameter for subsequent disinfectant dosage calculations.

[0025] S13. Determine the dosage of disinfectant based on the initial disinfectant requirement and wastewater flow rate.

[0026] The key to determining the actual disinfectant dosage is translating the theoretical requirement based on water quality characteristics into a specific dosage adapted to actual flow conditions. The system employs a scaling algorithm to adjust the initial disinfectant requirement according to the ratio of the current wastewater flow to the standard flow rate. The standard flow rate is a reference value used when the database was established, typically set to 80% of the design treatment capacity. When the actual flow rate is lower than the standard flow rate, the dosage is reduced accordingly to avoid over-disinfection; when the actual flow rate is higher than the standard flow rate, the dosage is appropriately increased to ensure that the disinfection effect is not affected by the increased flow rate. The system also considers the impact of flow rate changes on mixing, appropriately increasing the dosage to compensate for high flow conditions and reducing the dosage to avoid localized over-concentration under low flow conditions.

[0027] S14. Determine the disinfectant dosing interval based on the sewage flow rate and the preset disinfection contact time requirements.

[0028] The system determines the optimal disinfectant dosing interval based on the calculated wastewater flow rate and the preset disinfection contact time requirement. The disinfection contact time requirement is the minimum contact time determined based on disinfection kinetics principles and relevant standards to ensure sufficient reaction time between the disinfectant and pathogens to achieve the expected killing effect. The system calculates the theoretical residence time of wastewater in the reactor by dividing the effective volume of the disinfection reactor by the wastewater flow rate, and then compares this residence time with the disinfection contact time requirement. When the theoretical residence time is greater than the contact time requirement, the system can appropriately extend the dosing interval to improve operational efficiency while ensuring disinfection effectiveness; when the theoretical residence time is close to or less than the contact time requirement, the system will shorten the dosing interval to ensure a continuous and stable disinfectant concentration by increasing the dosing frequency, avoiding disinfection effect attenuation due to excessively long intervals.

[0029] The calculation of the dosing interval also fully considers the attenuation characteristics of the disinfectant and the impact of fluctuations in wastewater flow. The system establishes a dynamic time interval adjustment model, which calculates the optimal dosing frequency based on the half-life characteristics of the disinfectant and the current flow conditions. During periods of relatively stable flow, a longer time interval can be used to reduce the frequency of equipment operation; during periods of large flow fluctuations, a shorter time interval is used to ensure the response speed and stability of disinfection control.

[0030] S15 specifies the amount of disinfectant to be added and the time interval between disinfectant additions as the first disinfection scheme.

[0031] S102, obtain the type and quantity of the first wastewater discharged by each department, and calculate the influence coefficient between the first wastewater discharged by each department based on the type and quantity of the wastewater.

[0032] The system uses intelligent identification devices and flow monitoring equipment deployed on the sewage discharge pipes of each department to obtain the type and volume of the first wastewater discharged from each department. The core purpose of this step is to accurately identify and quantify the characteristic differences of wastewater from different departments and their mutual influence relationships. This is because the wastewater generated by different departments in medical institutions has significant differences. For example, wastewater discharged from the operating room contains a large amount of blood and drug residues, wastewater discharged from the laboratory is rich in chemical reagents and heavy metal ions, and wastewater discharged from the radiology department may contain special pollutants such as contrast agents. These wastewaters with different properties will undergo complex physicochemical reactions during the mixing process, which directly affects the effectiveness of disinfectants and the dosing strategy.

[0033] Wastewater type identification is achieved through multi-dimensional feature analysis. The system first establishes a wastewater type classification database based on the business types and discharge characteristics of each department, dividing the primary wastewater from each department into major categories such as biological wastewater, chemical wastewater, radioactive wastewater, and mixed wastewater. Biological wastewater mainly originates from wards and operating rooms, containing a large number of pathogens and organic matter; chemical wastewater mainly originates from the laboratory and pharmacy departments, containing various chemical reagents and drug residues; radioactive wastewater originates from the radiology and nuclear medicine departments, containing contrast agents and low-level radioactive substances; and mixed wastewater originates from outpatient clinics and administrative areas, with relatively complex pollutant compositions but lower concentrations. The system automatically identifies and classifies the type and attributes of primary wastewater by real-time monitoring of water quality characteristic parameters at the discharge outlets of each department, combined with departmental business information.

[0034] The initial wastewater volume is continuously monitored using precision flow meters installed in the discharge pipes of each department. The system records the actual discharge volume of each department per unit time and establishes a dynamic wastewater volume database. By analyzing the temporal distribution characteristics and variation patterns of the initial wastewater volume, the system can accurately calculate the volume ratio of each department's wastewater in the total medical wastewater. This ratio data is an important basic parameter for subsequent calculation of the influence coefficient.

[0035] The calculation of the influence coefficient is the core technical step in this process, aiming to quantify the interaction intensity among the primary wastewater discharged by various departments. The system first uses the acquired wastewater type information to query a pre-defined table of correspondence between wastewater types and pollutant characteristic parameters to determine the pollutant characteristic parameters of the primary wastewater from each department, including key indicators such as organic matter concentration, pathogen concentration, and chemical agent concentration. After standardization, these pollutant characteristic parameters are weighted using pre-defined pollutant weighting coefficients to obtain the pollution intensity index of the primary wastewater from each department. This index reflects the pollution load level per unit volume of wastewater.

[0036] The system further multiplies the pollution intensity index of each department by its corresponding volume percentage to calculate the contribution index of each department's primary wastewater to the overall medical wastewater quality. The contribution index characterizes the degree to which each department's wastewater contributes to the overall pollution characteristics of the medical wastewater; a higher value indicates a more significant impact of that department's wastewater on the overall water quality. Based on this, the system queries a pre-set wastewater interaction database for the synergistic and antagonistic effect coefficients between the primary wastewater from each department. The synergistic effect coefficient reflects the degree to which the concentration of pollutants increases or the disinfection difficulty increases after different wastewaters are mixed, while the antagonistic effect coefficient reflects the neutralizing or inhibiting effect of certain wastewater components on other pollutants.

[0037] By constructing a wastewater interaction matrix, the system multiplies the contribution index of each department with its corresponding synergistic and antagonistic effect coefficients to obtain the synergistic and antagonistic impact values ​​between departments. Then, a weighted summation is used to calculate the comprehensive interaction value. Finally, the system normalizes the comprehensive interaction value to generate an impact coefficient between the first wastewater discharged by each department. This coefficient ranges from 0 to 2. When the impact coefficient is greater than 1, it indicates that mixing wastewater from different departments increases the difficulty of disinfection, requiring an increase in disinfectant dosage. When the impact coefficient is less than 1, it indicates that mixing is beneficial for disinfection, allowing for a reduction in disinfectant dosage.

[0038] Based on the above embodiments, as an optional implementation method, in S102, the calculation of the influence coefficient between the first wastewater discharged by each department, combining the wastewater type and the first wastewater volume, specifically includes S21-S24: S21. Based on the type of wastewater, query the preset correspondence table between wastewater type and pollutant characteristic parameters to determine the pollutant characteristic parameters of the first wastewater of each department. The pollutant characteristic parameters include at least one of organic matter concentration, pathogen concentration, and chemical agent concentration.

[0039] The system, based on the wastewater type information of each department, queries a pre-defined table of correspondence between wastewater types and pollutant characteristic parameters to determine the pollutant characteristic parameters of the primary wastewater from each department. This table is a professional database built upon long-term medical wastewater monitoring data and the characteristics of departmental operations. It details the typical pollutant types and concentration ranges generated by different departments due to the specific nature of their medical activities. Wastewater from surgical departments is characterized by high organic matter concentrations, as the blood, body fluids, and organic cleaning agents used during surgery significantly increase the organic matter content. Simultaneously, the concentration of pathogens is also relatively high, requiring focused attention on disinfection of bacteria and viruses. Wastewater from chemotherapy departments is primarily characterized by high concentrations of chemical reagents. Residues from anticancer drugs and chemotherapy reagents give this type of wastewater special chemical activity and toxicity, necessitating specific requirements for the selection and dosage of disinfectants. Wastewater from laboratory departments exhibits diverse pollutant characteristic parameters, including pathogenic contamination from biological samples, as well as various chemical reagents and heavy metal ions, forming a complex mixed pollution profile.

[0040] The system uses a pollutant characteristic parameter matching algorithm to accurately match the wastewater types of each department with standard pollutant characteristic parameters in the database, obtaining key parameters such as the organic matter concentration, pathogen concentration, and chemical agent concentration of the department's primary wastewater. The matching process employs a weighted average method. Taking into account the varying intensity of business activities in the same department at different times, the system dynamically adjusts the standard parameters based on the department's activity level at the current time, ensuring that the pollutant characteristic parameters accurately reflect the real-time pollution status of the department's wastewater.

[0041] S22, Calculate the volume ratio of the first wastewater in the medical wastewater for each department based on the first wastewater volume.

[0042] Based on the initial wastewater volume data of each department, the system determines the volume percentage of each department's initial wastewater within the total medical wastewater using a volume ratio calculation method. Accurate calculation of volume percentages is fundamental for subsequent pollution load analysis and interaction assessment, as the mixing ratio of wastewater from different departments directly determines the pollutant concentration distribution and chemical reaction intensity of the final mixed wastewater. The system first calculates the total volume of medical wastewater, i.e., the sum of the initial wastewater volumes from each department, and then calculates the percentage of each department's initial wastewater volume relative to the total volume, obtaining the volume percentage value for each department. This volume percentage not only reflects the quantitative contribution of each department's wastewater but, more importantly, provides a quantitative basis for subsequent analysis of pollutant dilution and concentration effects.

[0043] S23, combining pollutant characteristic parameters and volume percentage, calculate the contribution index of each department's primary wastewater to the quality of medical wastewater.

[0044] The system combines the pollutant characteristic parameters and volume proportions of each department to calculate the contribution index of each department's primary wastewater to the quality of medical wastewater. The contribution index is a comprehensive indicator that quantifies the specific impact of each department's wastewater on the final mixed wastewater quality characteristics. The calculation of this index fully considers the dual effects of pollutant concentration and wastewater volume. The calculation process first multiplies each department's pollutant characteristic parameters by their volume proportion to obtain the department's pollutant contribution to the mixed wastewater. Then, the contributions from organic matter concentration, pathogen concentration, and chemical agent concentration are weighted and summed according to different weights to generate a comprehensive contribution index.

[0045] The weighting of the contribution index is based on the varying degrees of impact of different pollutants on the disinfection process. Pathogen concentration has the highest weight, typically 0.4-0.5, because pathogens are the primary target of disinfection, and their concentration directly determines the basic amount of disinfectant required. Organic matter concentration has a weight of 0.3-0.4, as organic matter consumes disinfectant and may produce disinfection byproducts, affecting disinfection effectiveness and effluent safety. Chemical agent concentration has a relatively low weight, set at 0.2-0.3, primarily considering its interference with disinfectant activity and potential chemical reaction risks. Through this stratified weighting calculation, the contribution index generated by the system accurately reflects the actual impact of wastewater from each department on the overall disinfection requirements.

[0046] Based on the above embodiments, as an optional implementation method, in S23, the contribution index of the first wastewater from each department to the quality of medical wastewater is calculated by combining pollutant characteristic parameters and volume proportions, specifically including S231-S233: S231, standardize the pollutant characteristic parameters to obtain standardized pollutant characteristic parameters.

[0047] The system standardizes the pollutant characteristic parameters from each department, generating standardized pollutant characteristic parameters. The necessity of standardization stems from the significant differences in numerical range and unit systems among the three types of pollutant characteristic parameters: organic matter concentration, pathogen concentration, and chemical agent concentration. Organic matter concentration is typically measured in milligrams per liter, ranging from tens to hundreds; pathogen concentration is measured in cells per milliliter, potentially reaching tens to hundreds of thousands; while chemical agent concentration may be measured in micrograms per liter, with a relatively smaller numerical range. Without standardization, these vast differences in magnitude would cause larger parameters to dominate subsequent calculations, masking the influence of other important parameters and severely impacting the scientific validity and accuracy of the contribution index calculation.

[0048] The system employs the Z-score standardization method to process pollutant characteristic parameters. This method transforms all parameters to the same numerical range and distribution characteristics by calculating the standard deviation multiple of each parameter relative to the historical mean of its corresponding pollutant type. Specifically, the system first extracts the mean and standard deviation of the corresponding pollutant type from the historical database within similar medical institutions as a standardization benchmark. Then, it calculates the difference between the current department's pollutant characteristic parameters and the historical mean, and finally divides this difference by the historical standard deviation to obtain the standardized pollutant characteristic parameters. This standardization method not only eliminates the dimensional influence between different parameters but also accurately reflects the degree of deviation of the current department's pollutant concentration from the industry standard level. A positive standardized value indicates above-average levels, while a negative standardized value indicates below-average levels; the absolute value reflects the strength of the deviation.

[0049] The standardization process also considers the impact of seasonal changes and time trends on pollutant concentrations. The system has established a dynamic benchmark adjustment mechanism, which adjusts the historical mean and standard deviation according to the current time point, with higher weights for recent data and lower weights for long-term data, to ensure that the standardized benchmark can reflect the latest trends in pollutant concentrations and improve the timeliness and accuracy of the standardization results.

[0050] S232, based on the preset pollutant weight coefficients, the standardized pollutant characteristic parameters are weighted and calculated to obtain the pollution intensity index of the first wastewater of each department.

[0051] The system calculates the pollution intensity index of the primary wastewater from each department by weighting standardized pollutant characteristic parameters according to preset pollutant weighting coefficients. The pollutant weighting coefficients are set based on the varying degrees of impact of different pollutants on the overall water quality characteristics and disinfection difficulty of medical wastewater. This weighting allocation fully considers the actual needs and technical characteristics of medical wastewater treatment. The weighting coefficient for pathogen concentration is set at 0.45, the highest among the three pollutant categories, because pathogens are the primary control target for medical wastewater treatment, and their concentration level directly determines the basic intensity of disinfection requirements and the level of safety risk. The weighting coefficient for organic matter concentration is set at 0.35. Although not a direct pathogen pollutant, organic matter consumes a large amount of disinfectant, interferes with the disinfection reaction, and may react with disinfectants to generate harmful disinfection byproducts, significantly impacting treatment effectiveness and effluent safety. The weighting coefficient for chemical agent concentration is set at 0.20, primarily considering its interference with the chemical activity of disinfectants and the risk of potential adverse chemical reactions.

[0052] The pollution intensity index is calculated using a linear weighted summation method. This involves multiplying the standardized organic matter concentration of each department by 0.35, the standardized pathogen concentration by 0.45, and the standardized chemical agent concentration by 0.20, then summing these three products to obtain the pollution intensity index for that department. This weighted calculation method ensures that the impact of different types of pollutants is accurately reflected according to their actual importance, avoiding the loss of important information that may result from simple averaging. The generated pollution intensity index scientifically reflects the comprehensive pollution level and treatment difficulty of the primary wastewater from each department.

[0053] During the weighted calculation process, the system also introduces a pollutant synergistic effect correction mechanism. When multiple pollutants coexist and their concentrations are all high, they may produce a synergistic and enhanced compound pollution effect, causing the actual pollution intensity to exceed the result of simple linear superposition. The correction mechanism detects the combined characteristics of standardized pollutant feature parameters. When a high-concentration combination of multiple pollutants is detected, a synergistic effect correction value of 5%-15% is added to the linear weighted result to ensure that the pollution intensity index can accurately reflect the actual impact of compound pollution.

[0054] S233, multiply the pollution intensity index of each department by the corresponding volume percentage to obtain the contribution index of each department's primary wastewater to the quality of medical wastewater.

[0055] The system multiplies the pollution intensity index calculated for each department with its corresponding volume percentage to obtain the contribution index of each department's primary wastewater to the overall medical wastewater quality. The key significance of this calculation step lies in organically combining the pollution intensity index, which reflects the degree of pollution, with the volume percentage, which reflects the scale of pollution, to generate a comprehensive index that simultaneously reflects both the quality and quantity of pollution. The contribution index considers not only the pollution intensity of a department's wastewater but, more importantly, its proportion within the overall medical wastewater. Only wastewater from departments with both sufficient pollution intensity and scale will have a significant impact on the overall water quality.

[0056] S24: Obtain the interaction relationship between the first wastewater discharged by each department, and calculate the influence coefficient between the first wastewater discharged by each department by combining the contribution and the interaction relationship.

[0057] The system acquires the interaction relationships between the primary wastewater discharges from each department, and combines this with the previously calculated contribution index to ultimately determine the influence coefficients between the primary wastewater discharges from each department. Interaction relationships refer to the chemical reactions, physical changes, and biological effects that may occur after wastewater from different departments is mixed. These interactions alter the final characteristics of the mixed wastewater, thereby affecting the effectiveness of the disinfection program. The system obtains relevant information by querying a pre-set wastewater interaction database. This database is established based on the compatibility analysis and experimental verification of wastewater chemical components, covering various interaction types such as common acid-base neutralization reactions, complexation reactions, precipitation reactions, and biological inhibition effects.

[0058] The mixing of chemotherapy reagents and acidic reagents from the laboratory may lead to a neutralization reaction, altering the pH and chemical activity of the mixed wastewater. This interaction manifests through the pH buffering effect and changes in chemical stability. Organic pollutants from the surgical department, when mixed with oxidizing substances from other departments, may undergo redox reactions, affecting the biodegradability of organic matter and the oxidizing capacity of disinfectants. Pathogens from different departments may cross-infect or inhibit each other in mixed environments, altering overall biological activity and increasing the difficulty of disinfection.

[0059] The impact coefficient was calculated using a multi-factor correction model. This model uses the contribution index of each department as the base value and then adjusts it according to the strength and direction of the interaction. When the interaction exhibits a synergistic enhancement effect, the impact coefficient increases, indicating that the actual impact of the wastewater from that department exceeds the expected impact when it acts alone. When the interaction exhibits an antagonistic weakening effect, the impact coefficient decreases, indicating that the presence of wastewater from other departments reduces the impact of the wastewater from that department. The correction magnitude is determined based on the quantitative rating of the interaction strength. The correction magnitude for strong interactions can reach 20%-30% of the contribution index, the correction magnitude for moderate interactions is 10%-20%, and the correction magnitude for weak interactions is within the range of 5%-10%.

[0060] Based on the above embodiments, as an optional implementation, in S24, the influence coefficient between the first wastewater discharged by each department is calculated by combining the contribution and interaction relationships, specifically including S241-S245: S241, based on the type of wastewater, query the synergistic effect coefficient and antagonistic effect coefficient between the first wastewater of each department from the preset wastewater interaction relationship database.

[0061] The system retrieves synergistic and antagonistic effect coefficients from a pre-set database based on the type of wastewater from each department. Synergistic effect coefficients reflect interactions that enhance the overall pollution load after wastewater mixing, such as the generation of new pollutants through chemical reactions or cross-infection by pathogens. Antagonistic effect coefficients reflect interactions that weaken the overall impact after mixing, such as acid-base neutralization reactions or mutual inhibition of pathogens. The system employs a multi-dimensional matching algorithm to accurately match the corresponding effect coefficients based on pollutant composition, concentration range, and biological activity characteristics.

[0062] S242. Based on the synergistic effect coefficient and the antagonistic effect coefficient, a wastewater interaction matrix is ​​constructed. The elements in the wastewater interaction matrix represent the interaction strength between the first wastewater from different departments.

[0063] The system constructs a wastewater interaction matrix, an n×n square matrix, where the matrix element aij represents the interaction strength between department i and department j. Diagonal elements are set to 1 to represent baseline values, while off-diagonal elements are calculated using the formula aij = 1 + α × synergistic effect coefficient - β × antagonistic effect coefficient, where α and β are weighted parameters of 0.8 and 0.7, respectively. When the synergistic effect dominates, the matrix element is greater than 1; when the antagonistic effect dominates, the element is less than 1.

[0064] S243, multiply the contribution of each department by the corresponding synergistic effect coefficient and antagonistic effect coefficient in the wastewater interaction matrix to obtain the synergistic influence value and antagonistic influence value between each department.

[0065] The system multiplies the contribution of each department by the corresponding synergistic effect coefficient and antagonistic effect coefficient to obtain the synergistic influence value and antagonistic influence value, respectively. The calculation process considers the bidirectional and nonlinear characteristics of the interactions and uses multi-step iterative calculations to include the effects of indirect interactions, ensuring an accurate reflection of the real interaction network of complex wastewater mixing systems.

[0066] S244 calculates the weighted sum of the synergistic and antagonistic impact values ​​to obtain the comprehensive interaction value among the first wastewater discharged by each department.

[0067] The system calculates a comprehensive interaction value by weighting and summing the synergistic and antagonistic impact values. The weight for the synergistic impact value is set at 0.6, and the weight for the antagonistic impact value is set at 0.4, reflecting a focus on the potential risk enhancement effect. A complexity correction factor is also introduced to adjust the calculation results based on the number of participating departments, adapting to the actual situation of medical institutions of different sizes.

[0068] S245, the comprehensive interaction value is normalized to obtain the influence coefficient between the first wastewater discharged by each department. The influence coefficient is used to characterize the degree of influence of the mixing of wastewater from different departments on the amount of disinfectant required.

[0069] The system normalizes the comprehensive interaction values, using a max-min normalization technique to map the values ​​to a range of 0 to 2, where 1 is the baseline level. The resulting influence coefficient directly characterizes the effect of mixing departmental wastewater on the demand for disinfectant. An influence coefficient greater than 1 indicates an increase in demand, while a coefficient less than 1 indicates a decrease in demand, providing precise correction parameters for subsequent disinfection program development.

[0070] S103. Based on the impact coefficient, the first disinfection plan is adjusted to generate the second disinfection plan.

[0071] The system first performs a comprehensive analysis of the impact coefficients among the first wastewater discharges from each department, calculated in step S102. Through weighted averaging or matrix operations, it calculates the overall comprehensive impact coefficient of the medical wastewater. The comprehensive impact coefficient reflects the overall influence of the mixed wastewater from all departments on the disinfection process; its value directly determines the magnitude and direction of adjustments to the first disinfection plan. When the comprehensive impact coefficient is greater than 1, it indicates that the mixing of wastewater from different departments increases the complexity and difficulty of disinfection. This may be due to antagonistic reactions between certain chemical reagents and disinfectants, or the formation of more difficult-to-degrade composite pollutants between different pollutants. In this case, it is necessary to increase the amount of disinfectant added or shorten the time interval between additions to ensure sufficient disinfection effect.

[0072] During the specific adjustment process, the system employs a dynamic correction algorithm to adjust the disinfectant dosage in the first disinfection plan. The algorithm first uses the baseline dosage determined in the first disinfection plan as the correction benchmark, and then applies different correction strategies based on the numerical range of the comprehensive influence coefficient. When the influence coefficient is in the range of 1.0-1.2, the system increases the dosage by 10%-20%, this slight adjustment mainly addresses general synergistic contamination effects; when the influence coefficient is in the range of 1.2-1.5, the dosage increase increases to 20%-35% to address moderate-intensity interaction effects; when the influence coefficient exceeds 1.5, the system not only increases the dosage by more than 35%, but also activates an enhanced disinfection mode, which may include a multi-stage dosage or a combined treatment strategy using multiple disinfectants.

[0073] For cases where the impact coefficient is less than 1, it indicates that mixing wastewater from different departments has a beneficial effect on the disinfection process. This may be because some departments' wastewater contains components that enhance disinfection, or the mixing of different wastewater reduces the overall pollution load. In this case, the system will appropriately reduce the amount of disinfectant added, typically by 5%-15%, to ensure disinfection effectiveness while avoiding waste and reducing potentially harmful byproducts from excessive disinfection.

[0074] The adjustment of the dosing interval is based on the analysis of the influence coefficient on the disinfection reaction kinetics. When the influence coefficient is high, it indicates that there are complex interactions in the wastewater, and the contact reaction between the disinfectant and the pollutants may require longer or more frequent dosing to achieve thorough mixing. Therefore, the system will correspondingly shorten the dosing interval and increase the dosing frequency to ensure that the disinfectant can be replenished in a timely manner and evenly distributed. Conversely, when the influence coefficient is low, the disinfection reaction proceeds relatively smoothly, and the dosing interval can be appropriately extended to optimize operational efficiency while ensuring disinfection effectiveness.

[0075] During the adjustment process, the system also considers the time stability and changing trend of the influence coefficient, and dynamically optimizes the adjustment parameters through historical data analysis and trend prediction. If the influence coefficient exhibits a periodic change pattern, the system will establish a time-related adjustment model to adjust the disinfection plan in advance during periods when the influence coefficient is expected to rise, thus achieving a proactive control strategy.

[0076] S104: Obtain the operating status parameters and environmental parameters of the wastewater treatment equipment, and generate adjustment coefficients by combining the operating status parameters and environmental parameters.

[0077] Operating status parameters are acquired through a distributed sensor system for comprehensive monitoring. The system first determines the equipment load rate of the wastewater treatment equipment through power monitoring and flow rate comparison analysis. This parameter reflects the ratio of the equipment's current treatment capacity to its design capacity. When the equipment load rate is too high, the residence time of wastewater within the equipment is shortened, resulting in insufficient contact time between the disinfectant and pollutants, affecting the disinfection effect. When the load rate is too low, although the contact time is sufficient, there may be localized stagnant water areas due to slow flow rates, affecting the uniform distribution of the disinfectant. Simultaneously, the system monitors the temperature of the disinfection reactor through a temperature sensor array installed inside the reactor. Temperature changes directly affect the chemical reaction rate and sterilization efficiency of the disinfectant. Generally, for every 10 degrees Celsius increase in temperature, the disinfection reaction rate approximately doubles; therefore, accurate temperature monitoring is crucial for predicting disinfection effectiveness.

[0078] The stirring intensity is monitored using torque sensors and speed monitoring devices installed on the stirring device. The stirring intensity directly affects the uniformity of the disinfectant's mixing and mass transfer efficiency in the wastewater. Appropriate stirring intensity promotes sufficient contact between the disinfectant and pollutants, improving disinfection efficiency. However, excessive stirring may cause air bubbles, affecting the disinfectant's stability, while insufficient stirring results in uneven mixing and the formation of disinfection dead zones. The assessment of equipment wear is based on a comprehensive evaluation using multiple indicators, including vibration analysis, noise monitoring, and cumulative operating time. Severely worn equipment may exhibit problems such as poor sealing and reduced efficiency, affecting the stability and controllability of the disinfection process.

[0079] Environmental parameters are acquired through environmental monitoring stations deployed around the wastewater treatment equipment. The system focuses on monitoring two key indicators: ambient temperature and humidity. Ambient temperature not only affects the internal thermal balance of the equipment but also directly impacts the stability and effective chlorine concentration of certain disinfectants, such as sodium hypochlorite. High temperatures accelerate the decomposition and inactivation of disinfectants, while low temperatures reduce the disinfection reaction rate. Humidity changes primarily affect the corrosion rate of the equipment and the operational stability of electrical components. High humidity environments may lead to a decline in equipment performance, indirectly affecting the stability of the disinfection effect.

[0080] Based on the acquired operating status parameters, the system employs a multi-parameter fusion algorithm to calculate the equipment operating efficiency coefficient of the wastewater treatment equipment. This coefficient is a comprehensive indicator reflecting the overall impact of the equipment's current operating status on the disinfection effect. The calculation process first standardizes each operating status parameter, converting parameters of different dimensions into dimensionless standardized values. Then, a weighted summation is performed based on the different weights of each parameter's influence on the disinfection effect. The weight coefficient for equipment load rate is typically set to 0.3 because it has the most direct impact on contact time; the weight coefficient for disinfection reactor temperature is set to 0.35, reflecting the significant impact of temperature on the reaction rate; and the weight coefficients for stirring intensity and equipment wear degree are set to 0.2 and 0.15, respectively, reflecting their contributions to mixing effect and system stability.

[0081] The environmental impact coefficient is determined by querying a pre-defined table showing the relationship between environmental parameters and disinfection effectiveness. This table, based on extensive experimental data and theoretical analysis, contains quantitative relationships regarding disinfectant activity changes under different combinations of ambient temperature and humidity. The system retrieves the corresponding baseline value for the impact coefficient from the table based on real-time monitored ambient temperature and humidity values, and then obtains the precise environmental impact coefficient through an interpolation algorithm. This coefficient reflects the degree of influence of environmental conditions on disinfectant activity and reaction efficiency, typically ranging from 0.7 to 1.3. When environmental conditions are favorable for disinfection, the coefficient is greater than 1; conversely, it is less than 1 if environmental conditions are unfavorable.

[0082] The adjustment coefficient is generated by weighting and fusing the equipment operating efficiency coefficient and the environmental impact coefficient. The fusion algorithm employs a dynamic weight allocation strategy, adjusting the weight ratios based on the dominant influencing factors under the current operating conditions. During periods of significant equipment load variation, the weight of the equipment operating efficiency coefficient increases to 0.7, while the weight of the environmental impact coefficient decreases to 0.3. Conversely, during periods of drastic environmental changes, the weight ratios are adjusted accordingly to ensure the adjustment coefficient accurately reflects the main influencing factors under the current conditions. The final generated adjustment coefficient is a dynamically changing value used to precisely correct the disinfectant dosage and dosing interval in the second disinfection plan.

[0083] Based on the above embodiments, as an optional implementation method, S104, combining operating status parameters and environmental parameters, specifically includes S41-S44: S41, acquire the operating status parameters of the wastewater treatment equipment, including at least one of the following: equipment load rate, disinfection reactor temperature, stirring intensity, and equipment wear degree; acquire environmental parameters, including at least one of the following: ambient temperature and humidity.

[0084] The system acquires operational and environmental parameters of the wastewater treatment equipment. Operational parameters include key indicators such as equipment load rate, disinfection reactor temperature, stirring intensity, and equipment wear. These parameters directly reflect the actual operating status and treatment capacity of the equipment. Equipment load rate refers to the ratio of the current treated water volume to the equipment's designed treatment capacity. An excessively high load rate shortens the wastewater's residence time in the reactor, affecting disinfection sufficiency; an excessively low load rate may lead to equipment instability. Disinfection reactor temperature affects the chemical reaction rate and the sterilization efficiency of the disinfectant. Too low a temperature reduces the disinfection effect, while too high a temperature may accelerate disinfectant decomposition. Stirring intensity determines the uniformity of mixing between wastewater and disinfectant, directly affecting the contact efficiency between the disinfectant and pathogens. Equipment wear reflects the impact of equipment aging on treatment effectiveness; severely worn equipment may have problems such as poor sealing and uneven mixing.

[0085] Environmental parameters mainly include ambient temperature and humidity, which affect the stability and activity of disinfectants. Ambient temperature affects the evaporation rate and chemical stability of disinfectants; high temperatures may accelerate the decomposition and inactivation of some disinfectants. Ambient humidity affects the hygroscopicity and storage stability of disinfectants; excessive humidity may cause solid disinfectants to clump or liquid disinfectants to dilute. The system acquires these parameters through a real-time sensor network to ensure the accuracy and timeliness of the data.

[0086] S42. Calculate the equipment operating efficiency coefficient of the sewage treatment equipment based on the operating status parameters. The equipment operating efficiency coefficient is used to characterize the degree of influence of the current operating status of the equipment on the disinfection effect.

[0087] The system calculates the equipment operating efficiency coefficient (EEC) of the wastewater treatment equipment based on its operational status parameters. The EEC is a comprehensive indicator used to quantify the overall impact of the equipment's current operating status on disinfection effectiveness. The calculation process employs a multi-factor weighted evaluation model. First, all operational status parameters are standardized, converting parameters of different dimensions into a unified scoring standard. The standardization of equipment load rate is based on the optimal load range; the highest score is achieved when the load rate is within the optimal range of 70%-90%, decreasing as it deviates from this range. The standardization of the disinfection reactor temperature is based on the optimal reaction temperature range of the disinfectant, typically between 15-25 degrees Celsius, where the effect is best.

[0088] The stirring intensity is assessed based on Reynolds number calculations to ensure the wastewater is in a fully turbulent state for uniform mixing. Equipment wear is comprehensively evaluated using equipment operating time, maintenance records, and performance test results to establish a correlation between wear and efficiency decline. The system performs a weighted summation of standardized parameters according to their weights: equipment load rate 30%, disinfection reactor temperature 25%, stirring intensity 25%, and equipment wear 20%, yielding an equipment operating efficiency coefficient. This coefficient ranges from 0.6 to 1.2, with values ​​closer to 1 indicating that the equipment is operating closer to its optimal state.

[0089] S43. Based on the environmental parameters, query the preset table of the relationship between environmental parameters and disinfection effect, and determine the environmental impact coefficient. The environmental impact coefficient is used to characterize the degree of influence of environmental conditions on the activity of disinfectant.

[0090] The system queries a preset table showing the relationship between environmental parameters and disinfection effectiveness to determine the environmental impact coefficients. This table is based on a professional database built from extensive experimental data and long-term operational experience, detailing the activity changes and effectiveness decay of various disinfectants under different environmental temperatures and humidity conditions. The table uses a two-dimensional lookup method, with environmental temperature on the horizontal axis and environmental humidity on the vertical axis, creating a gridded matrix of impact coefficients.

[0091] During the query process, the system first determines the position of the current ambient temperature and humidity in the relational table, and then calculates the accurate environmental impact coefficient using bilinear interpolation. When the ambient temperature is within the suitable range of 20-25 degrees Celsius and the relative humidity is within the suitable range of 50%-70%, the environmental impact coefficient is close to 1, indicating that the environmental conditions have no significant impact on the disinfection effect. When the environmental conditions deviate from the suitable range, the impact coefficient will be adjusted accordingly. High temperature and high humidity environments may cause the coefficient to drop below 0.8, while low temperature and low humidity environments may cause the coefficient to rise above 1.1. The system also considers the impact of seasonal changes on environmental parameters and establishes a dynamic correction mechanism to ensure the accuracy of the impact coefficient.

[0092] S44. The equipment operating efficiency coefficient and the environmental impact coefficient are weighted and integrated to generate an adjustment coefficient. The adjustment coefficient is used to correct the amount of disinfectant added and the time interval for adding it in the second disinfection plan.

[0093] The system weights and fuses the equipment operating efficiency coefficient and the environmental impact coefficient to generate the final adjustment coefficient. The weighting and fusion process employs an adaptive weight allocation strategy, dynamically adjusting the weight ratio of the two coefficients based on the current system state. Under normal operating conditions, the equipment operating efficiency coefficient has a weight of 0.6, and the environmental impact coefficient has a weight of 0.4. This allocation reflects the dominant influence of equipment status on disinfection effectiveness. When abnormal equipment operation or extreme environmental conditions are detected, the system automatically adjusts the weight allocation to highlight the role of the main influencing factors.

[0094] The adjustment coefficient is calculated using the following formula: Adjustment coefficient = Equipment operating efficiency coefficient × W1 + Environmental impact coefficient × W2, where W1 and W2 are the corresponding weight values, and W1 + W2 = 1. The generated adjustment coefficient is used to correct the disinfectant dosage and dosing interval in the second disinfection plan. When the adjustment coefficient is greater than 1, it indicates that the disinfectant dosage needs to be increased or the dosing interval shortened to compensate for the adverse conditions. When the adjustment coefficient is less than 1, it indicates that the disinfectant dosage can be appropriately reduced or the dosing interval extended.

[0095] S105, adjust the second disinfection scheme according to the adjustment coefficient, generate the target disinfection scheme, and send the target disinfection scheme to the sewage treatment equipment so that the sewage treatment equipment can treat the medical sewage according to the target disinfection scheme.

[0096] The system first multiplies the disinfectant dosage determined in the second disinfection plan with the adjustment coefficient calculated in step S104 to achieve precise correction of the dosage. This correction process fully reflects the actual impact of equipment operating status and environmental conditions on the disinfection effect. When the adjustment coefficient is greater than 1, it indicates that the current equipment operating status is good and the environmental conditions are conducive to the disinfection reaction. The system will correspondingly increase the disinfectant dosage to make full use of favorable conditions and improve the reliability of the disinfection effect. When the adjustment coefficient is less than 1, it indicates that the equipment operating efficiency has decreased or the environmental conditions are unfavorable. The system reduces the dosage to avoid ineffective consumption of disinfectant and to prevent the generation of harmful byproducts that may occur due to excessive dosage under unfavorable conditions. The correction calculation adopts a linear adjustment mode, that is, the adjusted disinfectant dosage is equal to the dosage in the second disinfection plan multiplied by the adjustment coefficient. This direct mathematical relationship ensures the accuracy and repeatability of the adjustment.

[0097] The adjustment of the dosing interval employs a more complex nonlinear correction strategy because the impact of time interval changes on disinfection effectiveness is asymmetrical. When the adjustment coefficient is greater than 1, the system shortens the dosing interval, with the shortening amount proportional to the deviation of the adjustment coefficient. The calculation formula is that the adjusted time interval equals the original time interval divided by the square root of the adjustment coefficient. This approach ensures that, under favorable conditions, increasing the dosing frequency achieves a more uniform distribution and more thorough mixing reaction of the disinfectant. When the adjustment coefficient is less than 1, the system extends the dosing interval, with the extension calculated as the original time interval multiplied by the reciprocal of the adjustment coefficient. Under unfavorable conditions, appropriately extending the interval allows more time for the disinfection reaction while reducing the equipment burden that frequent dosing might cause.

[0098] To ensure the practical feasibility and safety of the generated disinfection plan, the system rigorously verifies the rationality of the adjusted disinfectant dosage and dosing interval. The verification process includes two core steps: dosage range checking and interval range checking. Dosage range checking is based on preset minimum effective dosage and maximum safe dosage boundaries. The minimum effective dosage ensures basic disinfection effectiveness, while the maximum safe dosage prevents equipment corrosion, byproduct generation, and economic losses caused by overdosing. Interval range checking is constrained by disinfection reaction kinetics requirements and equipment operating limitations. The shortest interval ensures the mechanical responsiveness of the disinfectant dosing system, while the longest interval ensures that disinfection continuity is not excessively interrupted.

[0099] When verification results show that the adjusted parameters are all within the preset reasonable range, the system directly uses these parameters as the final control commands for the target disinfection plan. When verification reveals that some parameters exceed the reasonable range, the system activates the boundary restriction mechanism, forcibly adjusting the out-of-range parameters to the boundary values, and simultaneously generating an abnormal situation alarm message to remind operators to pay attention to the current special operating status. This boundary protection mechanism ensures that the target disinfection plan maintains basic safety and effectiveness under any circumstances, avoiding system risks that may arise from extreme adjustments.

[0100] Once the target disinfection plan is generated, the system sends control commands containing precise dosage and dosing intervals to the wastewater treatment equipment's control system via industrial Ethernet or wireless communication networks. The transmission process employs encryption protocols and data verification mechanisms to ensure the accuracy and security of command transmission and prevent communication interference or malicious attacks from affecting the control system. Upon receiving the target disinfection plan, the wastewater treatment equipment immediately updates its internal control parameter settings, including the flow control of the disinfectant dosing pump, the time interval settings of the dosing timer, and the status adjustments of relevant safety interlock devices.

[0101] Based on the above embodiments, as an optional implementation method, in S105, adjusting the second disinfection scheme according to the adjustment coefficient to generate the target disinfection scheme specifically includes S51-S54: S51, multiply the disinfectant dosage in the second disinfection plan by the adjustment coefficient to obtain the adjusted disinfectant dosage.

[0102] The system directly multiplies the disinfectant dosage in the second disinfection plan by an adjustment coefficient to obtain the adjusted disinfectant dosage. This direct multiplication calculation method is based on the principle of linear correction, which assumes that the influence of equipment operating status and environmental conditions on the disinfectant demand is linear. When the adjustment coefficient is 1.2, it means that under current conditions, the original dosage needs to be increased by 20% to maintain the same disinfection effect. When the adjustment coefficient is 0.85, it means that the original dosage can be reduced by 15% without affecting the disinfection effect. This correction mechanism fully considers the impact of factors such as decreased equipment efficiency and unfavorable environmental conditions on the actual effectiveness of the disinfectant, achieving precise compensation through quantification.

[0103] During the calculation process, the system employs differentiated correction strategies for different types of disinfectants because these disinfectants vary in their sensitivity to changes in operating conditions. Chlorine-based disinfectants are particularly sensitive to temperature changes; for every 5 degrees Celsius decrease in temperature, their sterilization efficiency may drop by 10%-15%, thus requiring a larger adjustment factor in low-temperature environments. Ultraviolet disinfection is more dependent on equipment condition; lamp aging or increased wastewater turbidity significantly reduces disinfection effectiveness, necessitating compensation by increasing the irradiation dose. Ozone disinfection is greatly affected by ambient humidity; high humidity environments may accelerate ozone decomposition, requiring corresponding adjustments to the dosage.

[0104] S52, the addition time interval in the second disinfection plan is corrected according to the adjustment coefficient. When the adjustment coefficient is greater than 1, the addition time interval is shortened; when the adjustment coefficient is less than 1, the addition time interval is extended, thus obtaining the adjusted addition time interval.

[0105] The system adjusts the dosing interval in the second disinfection scheme based on an adjustment coefficient, using an inverse proportional adjustment principle to optimize the dosing frequency. When the adjustment coefficient is greater than 1, it indicates that the current conditions are adversely affecting the disinfection effect. The system increases the contact frequency between the disinfectant and the wastewater by shortening the dosing interval, thereby improving the overall disinfection effect. The specific calculation method is to divide the original dosing interval by the adjustment coefficient. For example, if the original interval is 60 minutes and the adjustment coefficient is 1.3, the adjusted interval is 60 ÷ 1.3 ≈ 46 minutes. When the adjustment coefficient is less than 1, it indicates that the current conditions are favorable for disinfection. The dosing interval can be appropriately extended to save disinfectant usage. The calculation method is to multiply the original interval by the reciprocal of the adjustment coefficient.

[0106] The adjustment of the dosing interval also takes into account the variation pattern of wastewater flow and the residence time of disinfectant in the system. During high flow periods, even if the adjustment coefficient is less than 1, the system will maintain a relatively short dosing interval to ensure thorough mixing. During low flow periods, the interval can be appropriately extended to avoid overdosing. The system has established a dynamic time window mechanism, which predicts water volume changes in future periods based on historical flow data and adjusts the dosing interval in advance to achieve a smooth transition.

[0107] S53 verifies the rationality of the adjusted disinfectant dosage and the adjusted dosing time interval to determine whether they are within the preset dosage and time interval ranges.

[0108] The system verifies the rationality of the adjusted disinfectant dosage and the adjusted dosing interval to determine whether the adjustment results are within the preset safe operating range. The preset dosage range is determined comprehensively based on the disinfectant's safe use standards, treatment effect requirements, and economic considerations, and is typically set to 50%-200% of the theoretical calculation value to ensure that it can cope with extreme conditions while avoiding the risk of secondary pollution caused by overdosing. The preset time interval range takes into account technical constraints such as the equipment's minimum start-up interval, disinfectant mixing time, and system response time, and is generally set between 5 minutes and 4 hours.

[0109] The validation process employs a multi-level inspection mechanism. First, a numerical range check is performed to confirm that the adjusted parameters are within a physically feasible range. Next, a safety check is conducted to ensure that no harmful byproducts resulting from excessive dosage are generated. Finally, an economic check is performed to prevent the adjusted scheme from causing unreasonable cost increases. For ultraviolet disinfection, the system also verifies whether the adjusted irradiation dose exceeds the lamp's rated power. For chemical disinfection, it checks whether the adjusted dosage will lead to excessive residual chlorine or abnormal pH levels.

[0110] S54, when the verification is successful, the adjusted disinfectant dosage and the adjusted dosing time interval shall be used as the target disinfection scheme; when the verification fails, the adjusted disinfectant dosage and the adjusted dosing time interval shall be limited to a preset range, and the limited values ​​shall be used as the target disinfection scheme.

[0111] The system generates the final target disinfection plan based on the verification results. When verification passes, it indicates that the adjusted disinfectant dosage and dosing interval are within a reasonable range, and the system directly uses these adjusted values ​​as the core parameters of the target disinfection plan. When verification fails, it indicates that some adjusted values ​​exceed the safe operating range, and the system initiates a restrictive correction procedure to forcibly limit the parameters that exceed the range to the boundary values ​​of the preset range, and uses the limited values ​​as the target disinfection plan.

[0112] Figure 2This is a schematic diagram of a scenario provided in an embodiment of this application, such as... Figure 2 As shown, Figure 2 This paper comprehensively describes the closed-loop operating architecture of an advanced intelligent medical wastewater disinfection control system. The core of the entire system is the central "Intelligent Disinfection Control Center," which acts as the system's brain, responsible for all data analysis, decision-making, and command issuance. The system's operation begins with multiple green "monitoring points" distributed around the perimeter. These represent wastewater discharge sources from different departments within the hospital (such as inpatient wards, laboratories, and operating rooms). Their main task is to collect key water quality and quantity data in real time and continuously aggregate this raw information to the control center via data links. Once the data enters the center, the system initiates a series of automated processing steps. First, data preprocessing ensures data quality. Then, AI models predict influent parameters. Next, based on real-time and predicted data, the system calculates the dosage of disinfectant to achieve precise dosing. Finally, a control strategy is generated to form the optimal execution plan.

[0113] Once the decision is made, the control center issues dosing instructions to the physical execution equipment, enabling precise control of the on-site disinfection process. Simultaneously, all processed data is transmitted to the purple hierarchical storage unit at the bottom. Based on data importance and timeliness, it is stored in hot storage for real-time computation, warm storage for trend analysis and model training, and cold storage for storing the algorithm model. This storage mechanism is crucial because it provides the data foundation for model training and optimization. Combined with processing effect feedback, it forms a complete learning and evolution loop, enabling the system to continuously improve itself and enhance the intelligence, efficiency, and economy of disinfection control.

[0114] Based on the above method, this application also discloses a disinfectant dosing control system, such as... Figure 3 As shown, Figure 3 This is a schematic diagram of a disinfectant dosing control system provided in an embodiment of this application. The system includes: a first acquisition module, a second acquisition module, a first adjustment module, a third acquisition module, and a second adjustment module; wherein, The first acquisition module acquires the wastewater volume and water quality parameters of medical wastewater from the wastewater treatment equipment. Based on these parameters, it generates a first disinfection plan for the medical wastewater, which is a mixture of wastewater discharged from multiple departments. The first disinfection plan includes the dosage and time interval of the disinfectant. The second acquisition module acquires the wastewater type and volume from each department's wastewater discharge. Based on these parameters, it calculates the influence coefficient between the wastewater discharged from each department. The first adjustment module adjusts the first disinfection plan according to the influence coefficient to generate a second disinfection plan. The third acquisition module acquires the operating status parameters and environmental parameters of the wastewater treatment equipment. Based on these parameters, it generates adjustment coefficients. The second adjustment module adjusts the second disinfection plan according to the adjustment coefficients to generate a target disinfection plan. This target disinfection plan is then sent to the wastewater treatment equipment so that the equipment treats the medical wastewater according to the target disinfection plan.

[0115] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0116] Please see Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 4 As shown, the electronic device 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0117] The communication bus 1002 is used to realize the connection and communication between these components.

[0118] The user interface 1003 may include a display screen and a camera. Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0119] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0120] The processor 1001 may include one or more processing cores. The processor 1001 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 1005, and by calling data stored in the memory 1005. Optionally, the processor 1001 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 1001 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content to be displayed on the screen; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 1001 and may be implemented as a separate chip.

[0121] The memory 1005 may include random access memory (RAM) or read-only memory. Optionally, the memory 1005 may include a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 1005 may also be at least one storage device located remotely from the aforementioned processor 1001. Figure 4 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a disinfectant dosing control method.

[0122] exist Figure 4In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and to obtain the user input data; while the processor 1001 can be used to call an application program stored in the memory 1005 for a disinfectant dosing control method. When executed by one or more processors, the electronic device performs one or more of the methods described in the above embodiments.

[0123] An electronic device readable storage medium stores instructions that, when executed by one or more processors, cause the electronic device to perform one or more of the methods described in the above embodiments.

[0124] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0125] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0126] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some service interfaces; indirect couplings or communication connections between devices or units may be electrical or other forms.

[0127] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0128] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0129] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0130] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described herein. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for controlling the addition of disinfectant, characterized in that, The method includes: The wastewater volume and water quality parameters of medical wastewater in the wastewater treatment equipment are obtained. Based on the wastewater volume and water quality parameters, a first disinfection plan for medical wastewater is generated. The medical wastewater is formed by the mixture of first wastewater discharged from multiple departments. The first disinfection plan includes the dosage of disinfectant and the time interval between dosing. Obtain the type and quantity of the first wastewater discharged by each of the departments, and calculate the influence coefficient between the first wastewater discharged by each department based on the type and quantity of the wastewater. Based on the influence coefficient, the first disinfection plan is adjusted to generate a second disinfection plan; The operating status parameters and environmental parameters of the wastewater treatment equipment are obtained, and adjustment coefficients are generated by combining the operating status parameters and the environmental parameters. The second disinfection scheme is adjusted according to the adjustment coefficient to generate a target disinfection scheme. The target disinfection scheme is then sent to the wastewater treatment equipment so that the wastewater treatment equipment can treat the medical wastewater according to the target disinfection scheme.

2. The disinfectant dosing control method according to claim 1, characterized in that, The first disinfection scheme for medical wastewater, which combines the wastewater volume and the water quality parameters, includes: Based on the pollutant concentration, pH value, and turbidity in the water quality parameters, the initial disinfectant requirement for medical wastewater is determined from a preset disinfectant dosage correspondence table. Calculate the sewage flow rate per unit time based on the sewage volume; The dosage of disinfectant is determined by combining the initial disinfectant requirement and the wastewater flow rate. The time interval for adding disinfectant is determined based on the wastewater flow rate and the preset disinfection contact time requirements; The dosage of disinfectant and the time interval between disinfectant applications are used as the first disinfection plan.

3. The disinfectant dosing control method according to claim 1, characterized in that, The calculation of the influence coefficient between the first wastewater discharged by each department, based on the type of wastewater and the volume of the first wastewater, includes: Based on the type of wastewater, a pre-defined correspondence table between wastewater type and pollutant characteristic parameters is consulted to determine the pollutant characteristic parameters of the first wastewater in each of the departments. The pollutant characteristic parameters include at least one of organic matter concentration, pathogen concentration, and chemical agent concentration. Based on the first wastewater volume, calculate the volume percentage of the first wastewater in the medical wastewater for each of the aforementioned departments; Based on the pollutant characteristic parameters and the volume percentage, calculate the contribution index of the first wastewater from each of the departments to the quality of medical wastewater; The interaction relationships between the first wastewater discharged by each of the departments are obtained, and the influence coefficients between the first wastewater discharged by each department are calculated by combining the contribution and the interaction relationships.

4. The disinfectant dosing control method according to claim 3, characterized in that, The calculation of the contribution index of the first wastewater from each of the aforementioned departments to the quality of medical wastewater, combining the pollutant characteristic parameters and the volume percentage, includes: The pollutant characteristic parameters are standardized to obtain standardized pollutant characteristic parameters; Based on the preset pollutant weighting coefficients, the standardized pollutant characteristic parameters are weighted and calculated to obtain the pollution intensity index of the first wastewater of each department. Multiply the pollution intensity index of each department by the corresponding volume percentage to obtain the contribution index of the first wastewater of each department to the quality of medical wastewater.

5. The disinfectant dosing control method according to claim 3, characterized in that, The calculation of the influence coefficient among the first wastewater discharged by each department, combining the contribution and the interaction relationship, includes: Based on the type of wastewater, query the synergistic effect coefficient and antagonistic effect coefficient between the first wastewater from each of the departments from the preset wastewater interaction database; Based on the synergistic effect coefficient and the antagonistic effect coefficient, a wastewater interaction matrix is ​​constructed, wherein the elements in the wastewater interaction matrix represent the interaction strength between the first wastewater from different departments; The contribution of each department is multiplied by the corresponding synergistic effect coefficient and antagonistic effect coefficient in the wastewater interaction matrix to obtain the synergistic influence value and antagonistic influence value between each department. The synergistic effect value and the antagonistic effect value are weighted and summed to obtain the comprehensive interaction value among the first wastewater discharged by each of the departments; The comprehensive interaction value is normalized to obtain the influence coefficient between the first wastewater discharged by each department. The influence coefficient is used to characterize the degree of influence of the mixing of wastewater from different departments on the amount of disinfectant required.

6. The disinfectant dosing control method according to claim 1, characterized in that, The step of generating adjustment coefficients by combining the operating status parameters and the environmental parameters includes: The system acquires operating status parameters of the wastewater treatment equipment, including at least one of equipment load rate, disinfection reactor temperature, stirring intensity, and equipment wear degree; and acquires environmental parameters, including at least one of ambient temperature and humidity. Based on the operating status parameters, the equipment operating efficiency coefficient of the wastewater treatment equipment is calculated. The equipment operating efficiency coefficient is used to characterize the degree of influence of the current operating status of the equipment on the disinfection effect. Based on the environmental parameters, a preset table showing the relationship between environmental parameters and disinfection effect is consulted to determine the environmental impact coefficient, which is used to characterize the degree of influence of environmental conditions on the activity of disinfectant. The equipment operating efficiency coefficient and the environmental impact coefficient are weighted and fused to generate an adjustment coefficient, which is used to correct the amount of disinfectant added and the time interval for adding it in the second disinfection scheme.

7. The disinfectant dosing control method according to claim 1, characterized in that, The step of adjusting the second disinfection plan according to the adjustment coefficient to generate the target disinfection plan includes: Multiply the disinfectant dosage in the second disinfection plan by the adjustment coefficient to obtain the adjusted disinfectant dosage; The addition time interval in the second disinfection scheme is corrected according to the adjustment coefficient. When the adjustment coefficient is greater than 1, the addition time interval is shortened; when the adjustment coefficient is less than 1, the addition time interval is extended, so as to obtain the adjusted addition time interval. The rationality of the adjusted disinfectant dosage and the adjusted dosing time interval is verified to determine whether they are within the preset dosage and time interval range. When the verification is successful, the adjusted disinfectant dosage and the adjusted dosing interval will be used as the target disinfection plan; when the verification fails, the adjusted disinfectant dosage and the adjusted dosing interval will be limited to a preset range, and the limited values ​​will be used as the target disinfection plan.

8. A disinfectant dosing control system, characterized in that, The system includes: a first acquisition module, a second acquisition module, a first adjustment module, a third acquisition module, and a second adjustment module; wherein, The first acquisition module is used to acquire the wastewater volume and water quality parameters of medical wastewater in the wastewater treatment equipment, and generate a first disinfection plan for medical wastewater by combining the wastewater volume and the water quality parameters. The medical wastewater is formed by the mixture of first wastewater discharged from multiple departments. The first disinfection plan includes the dosage of disinfectant and the time interval between dosing. The second acquisition module is used to acquire the type and quantity of the first wastewater discharged by each of the departments, and to calculate the influence coefficient between the first wastewater discharged by each department in combination with the type and quantity of the wastewater. The first adjustment module is used to adjust the first disinfection plan according to the influence coefficient to generate a second disinfection plan; The third acquisition module is used to acquire the operating status parameters and environmental parameters of the sewage treatment equipment, and generate adjustment coefficients by combining the operating status parameters and the environmental parameters; The second adjustment module is used to adjust the second disinfection scheme according to the adjustment coefficient, generate a target disinfection scheme, and send the target disinfection scheme to the sewage treatment equipment so that the sewage treatment equipment treats the medical sewage according to the target disinfection scheme.

9. An electronic device, characterized in that, The device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed as described in any one of claims 1-7.

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