Monitoring system for medical sewage

By designing a medical sewage treatment safety monitoring cloud system, using element detection, safety verification, process monitoring and comparison analysis modules, the problem that existing systems cannot detect abnormal links in a timely manner is solved, and efficient and safe sewage treatment is achieved.

CN119959495AInactive Publication Date: 2025-05-09YUNNAN CHENZHI ENVIRONMENTAL SERVICE CO LTD
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Patent Information

Application Number
CN202510058745.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-14
Publication Date
2025-05-09
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing medical sewage treatment system lacks effective monitoring methods, which leads to the inability to detect abnormal processes in a timely manner, which seriously reduces the efficiency of sewage treatment.

Method used

A medical sewage treatment safety monitoring cloud system was designed, and through element detection modules, safety verification modules, process monitoring modules and comparison analysis modules, real-time monitoring and abnormal detection of medical sewage were realized, and the treatment links were discovered and adjusted in a timely manner.

Benefits of technology

It effectively realizes timely discovery and adjustment of medical sewage treatment links, improves sewage treatment efficiency, and ensures the safety and environmental protection of sewage treatment process.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a monitoring system for medical sewage, and relates to the technical field of sewage monitoring, and the monitoring system comprises an element detection module which is used for carrying out element detection on the medical sewage, carrying out rough determination on the sewage type based on a plurality of detection elements, and carrying out matching to obtain a sewage treatment mode consistent with the sewage type; the safety verification module is used for carrying out safety verification on the detected medical sewage discharge parameters based on the safety discharge standard corresponding to each sewage treatment mode, and determining final dangerous elements and dangerous quantity; the process monitoring module is used for determining an exception handling link based on the final dangerous element and the dangerous amount, and monitoring an adjustment process based on a monitoring center; and the comparative analysis module is used for analyzing an adjustment effective index according to a monitoring result, generating an adjustment log through comparative analysis with a preset effective index, and storing the adjustment log to the monitoring center, so that the medical sewage treatment is ensured to accord with a safety standard, the safety of a discharge environment is ensured, and the medical sewage treatment efficiency is improved.
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Description

Technical Field

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

[0002] Medical sewage is mainly discharged from the hospital's treatment rooms, laboratories, wards, laundry rooms, X-ray studios and operating rooms, and its source and composition are very complex. Hospital sewage contains a large number of pathogenic bacteria, viruses and chemicals, and has the characteristics of space pollution, acute infection and latent infection.

[0003] However, major hospitals have not properly disposed of medical wastewater with serious hazards, ignoring the dangerous elements in wastewater that may cause water pollution incidents. Therefore, it must be treated before it can be discharged, especially the sewage discharged from infectious disease wards such as hepatitis, which must be disinfected before it can be discharged. The common method now is to use relevant equipment to treat the sewage, measure the composition of the treated sewage, and discharge it when it meets the standards. If it does not meet the standards, since sewage treatment is a continuous process and lacks monitoring of process treatment, when there is an abnormality in the link, each link needs to be manually re-measured, resulting in the failure to timely discover the abnormal links, which seriously reduces the efficiency of sewage treatment.

[0004] Therefore, the present invention provides a monitoring system for medical wastewater. Summary of the invention

[0005] The present invention provides a cloud system for monitoring the safety of medical wastewater treatment, which is used to match reasonable safety discharge standards by performing element detection on medical wastewater, and then to perform safety verification on discharge parameters to determine abnormal conditions, thereby effectively realizing timely discovery of abnormalities in links, and subsequently further improving wastewater treatment efficiency through the detection and adjustment process.

[0006] The present invention provides a monitoring system for medical sewage, comprising:

[0007] Element detection module: performs element detection on medical sewage, roughly determines the type of sewage based on multiple detection elements, and matches the sewage treatment method consistent with the sewage type;

[0008] Safety verification module: Based on the safety discharge standards corresponding to each sewage treatment method, the detected medical sewage discharge parameters are safety verified, the parameter change curve of the same element is determined, and the final value in the parameter change curve and the parameter change amount of adjacent turning points are analyzed to determine the final hazardous elements and hazardous amounts;

[0009] Process monitoring module: determining the abnormality handling link based on the final dangerous element and the dangerous amount, and monitoring the adjustment process based on the monitoring center;

[0010] Comparative analysis module: analyzes the adjustment effectiveness index according to the monitoring results, and generates an adjustment log by comparing and analyzing with the preset effectiveness index and storing it in the monitoring center.

[0011] Preferably, the element detection module includes:

[0012] Detection unit: obtain medical sewage samples from each medical sewage outlet point and conduct element detection;

[0013] Type matching unit: Based on the sewage element-type comparison table, it matches the element density combination of multiple detection elements to obtain the corresponding sewage type;

[0014] Method matching unit: Match the sewage type with the type-method database to obtain the sewage treatment method.

[0015] Preferably, the security verification module includes:

[0016] A standard acquisition unit: determining a first discharge standard of the sewage discharge site based on the water source use of the sewage discharge site;

[0017] Grade analysis unit: compare the first discharge standard of the same sewage discharge site with the safety discharge standard corresponding to each sewage treatment method, determine the relative standard grade of each sewage treatment method, and obtain the relative risk elements;

[0018] Element detection unit: obtains real-time sewage samples from each sewage discharge site, and performs element detection to obtain the first real-time results;

[0019] Dangerous parameter acquisition unit: treat the corresponding sewage discharge site according to the specified sewage treatment method, and perform element detection on the sewage after being treated in accordance with the sewage links in sequence to obtain the second real-time results under different sewage processes;

[0020] A change curve construction unit: determining a parameter change curve of the same element according to the first real-time result and all the second real-time results;

[0021] A change judgment unit: based on the parameter change curve, obtaining a first curvature between every two adjacent points;

[0022] A difference calculation unit: calculates the difference between every two adjacent first curvatures to obtain a first difference, and determines a first quantity where the first difference is less than a preset curvature difference;

[0023] A continuous determination unit: if the first number is greater than or equal to a preset continuous number, determining that the dangerous element corresponding to the parameter change curve is a continuous processing attribute;

[0024] Reference hazard acquisition unit: extracting reference hazard elements consistent with the specified sewage treatment method from the relative hazard elements;

[0025] Comparison unit: performing a first comparison based on the final value of the reference hazardous element and the final value of the parameter change curve of the same element corresponding to the continuous processing attribute, and at the same time, extracting the parameter change amount of adjacent turning points in the parameter change curve of the same element, and performing a second comparison with the corresponding standard change amount;

[0026] An abnormal parameter acquisition unit: based on the first comparison result and the second comparison result, acquires an abnormal parameter, wherein the abnormal parameter is a final dangerous element and a dangerous amount of the final dangerous element.

[0027] Preferably, the process monitoring module comprises:

[0028] Parameter analysis unit: Send abnormal parameters to the safety monitoring cloud center, and obtain the abnormal processing link where abnormalities may occur according to the dangerous amount of dangerous elements;

[0029] Adjustment method acquisition unit: based on each exception handling link and the exception adjustment method database, obtain the corresponding adjustment method.

[0030] Preferably, the process monitoring module further includes:

[0031] An adjustment unit is configured to adjust the corresponding exception handling link based on the adjustment method;

[0032] Sample acquisition unit: after the adjustment is completed, the discharge switch of the sewage containing the hazardous element is turned on, and after the sewage is treated according to the abnormal adjustment link, the adjusted sewage sample under the corresponding link is obtained;

[0033] Danger judgment unit: perform element detection on all adjusted sewage samples, obtain the third detection result, and judge whether the third detection result contains corresponding dangerous elements;

[0034] Early warning unit: if the third detection result contains the corresponding hazardous element, the discharge of sewage containing the hazardous element is stopped, and an early warning report is sent to the safety monitoring cloud center;

[0035] Adjustment completion unit: if the third detection result does not contain the corresponding hazardous element, then obtain the adjustment process parameters.

[0036] Preferably, the early warning unit comprises:

[0037] Abnormal location acquisition unit: When the security monitoring cloud center receives an early warning report, it obtains the abnormal location of all abnormal processing links;

[0038] Manual maintenance unit: Based on the abnormal location and the real-time location of the maintenance personnel, the maintenance details are sent to the maintenance personnel closest to the abnormal location.

[0039] Preferably, the comparative analysis module includes:

[0040] Sample acquisition unit: based on the adjustment process parameters, obtains the adjustment process duration and the first sewage sample acquired at each moment in the adjustment process;

[0041] Hazard analysis unit: performing element detection on the first sewage sample to obtain a first variation curve diagram of the same hazardous element;

[0042] An index calculation unit: based on the duration of the adjustment process and the first change curve diagram, calculates an adjustment effectiveness index of the adjustment process;

[0043] Duration acquisition unit: if the adjusted effective index is greater than the preset effective index, the first duration of each dangerous element content reaching 0 is acquired;

[0044] Log generation unit: based on the first duration and adjustment process parameters, generates an adjustment log and stores it in the security monitoring cloud center.

[0045] Preferably, the index calculation unit comprises:

[0046]

[0047] Wherein, E represents the adjustment effectiveness index of the adjustment process; n represents the number of all moments in the first change curve diagram; x i Indicates the content of the hazardous element corresponding to the i-th moment in the first change curve; a i represents the adjustment method of the hazardous element corresponding to the first change curve. In the curve of adjusting the hazardous element under normal circumstances, the content of the hazardous element corresponding to the i-th moment; t represents the duration of the adjustment process corresponding to the first change curve; t 标 Indicates the duration of the adjustment process of the dangerous element corresponding to the first variation curve under normal circumstances; x max represents the maximum peak value in the first variation curve; a max represents the maximum peak value of the curve of adjusting the dangerous element under normal circumstances in the adjustment mode of the dangerous element corresponding to the first variation curve; x min represents the minimum peak value in the first variation curve; a min The minimum peak value of the curve of adjusting the dangerous element under normal circumstances represents the adjustment method of the dangerous element corresponding to the first variation curve.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] By conducting elemental testing on medical wastewater to match reasonable safety emission standards, and then conducting safety verification of emission parameters to determine abnormal conditions, we can effectively realize the timely discovery of abnormalities in the links, and further improve the sewage treatment efficiency through the subsequent testing and adjustment process.

[0050] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0051] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0053] Figure 1 It is a structural diagram of a monitoring system for medical sewage in an embodiment of the present invention. DETAILED DESCRIPTION

[0054] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0055] Embodiment 1:

[0056] The embodiment of the present invention provides a medical wastewater treatment safety monitoring cloud system, such as Figure 1 As shown, including:

[0057] Element detection module: performs element detection on medical sewage, roughly determines the type of sewage based on multiple detection elements, and matches the sewage treatment method consistent with the sewage type;

[0058] Safety verification module: Based on the safety discharge standards corresponding to each sewage treatment method, the detected medical sewage discharge parameters are safety verified, the parameter change curve of the same element is determined, and the final value in the parameter change curve and the parameter change amount of adjacent turning points are analyzed to determine the final hazardous elements and hazardous amounts;

[0059] Process monitoring module: determining the abnormality handling link based on the final dangerous element and the dangerous amount, and monitoring the adjustment process based on the monitoring center;

[0060] Comparative analysis module: analyzes the adjustment effectiveness index according to the monitoring results, and generates an adjustment log by comparing and analyzing with the preset effectiveness index and storing it in the monitoring center.

[0061] In this embodiment, the types of sewage refer to the types of medical sewage, including pathogen sewage, heavy metal sewage, disinfectant sewage, organic solvent sewage, acid sewage, alkaline sewage and radioactive sewage.

[0062] In this embodiment, the analytical detection refers to element detection of the medical wastewater, and the elements contained in the medical wastewater are detected according to all the elements contained in the medical wastewater, such as heavy metal ions, radioactive elements, and acid radical ions.

[0063] In this embodiment, the type-method database refers to a database containing all sewage types and corresponding sewage treatment methods.

[0064] In this embodiment, the sewage treatment method refers to treating the sewage to make it meet the discharge standards and discharge without pollution, including: physical treatment method, chemical treatment method, physical and chemical treatment method and biological treatment method.

[0065] In this embodiment, the safe discharge standard refers to the content standard of each element discharged from medical wastewater, which is determined in order to control medical wastewater pollution and protect the good quality of surface water and groundwater in rivers, lakes, canals, channels, reservoirs and oceans.

[0066] In this embodiment, the medical wastewater discharge parameter refers to the content of each element in the medical wastewater that is finally discharged after wastewater treatment, which is obtained in real time.

[0067] In this embodiment, the safety verification refers to the detection of non-dischargeable elements in the medical wastewater discharge parameters. If there are non-dischargeable elements in the medical wastewater discharge parameters, the safety verification fails.

[0068] In this embodiment, the abnormal parameters refer to the non-emittable elements and their corresponding contents in the medical emission parameters that failed the safety verification.

[0069] In this embodiment, the monitoring cloud center refers to a control center that monitors data of each link of medical sewage discharge in real time and ensures the safe discharge of medical sewage.

[0070] In this embodiment, the adjustment method refers to a method of adjusting the abnormal medical wastewater treatment link so that it can operate normally.

[0071] In this embodiment, the adjustment process refers to the process of using the adjustment method to adjust the working link of the sewage treatment where an abnormality occurs, including the content change of the treatment element in the adjustment link.

[0072] In this embodiment, the adjustment effective index refers to an index of the effectiveness of the change of the element processed by the corresponding adjustment link during the adjustment process.

[0073] In this embodiment, the preset validity index refers to a preset minimum value of an index indicating that the adjustment process is valid.

[0074] In this embodiment, the adjustment log refers to a log including the duration of the adjustment process, the adjustment method, and the content change of the element adjusted during the adjustment process.

[0075] The working principle and beneficial effects of the above technical solution are: by conducting element detection on medical wastewater to match reasonable safety emission standards, and then conducting safety verification of emission parameters to determine abnormal conditions, it is possible to effectively discover abnormalities in the links in a timely manner, and subsequently further improve the wastewater treatment efficiency through the detection and adjustment process.

[0076] Embodiment 2:

[0077] According to the system provided by embodiment 1 of the invention, the element detection module includes:

[0078] Detection unit: obtain medical sewage samples from each medical sewage outlet point and conduct element detection;

[0079] Type matching unit: Based on the sewage element-type comparison table, it matches the element density combination of multiple detection elements to obtain the corresponding sewage type;

[0080] Method matching unit: Match the sewage type with the type-method database to obtain the sewage treatment method.

[0081] In this embodiment, the medical sewage outlet point refers to the outlet point where the medical sewage is directly discharged and has not yet reached the sewage treatment stage.

[0082] In this embodiment, the medical wastewater sample refers to a sample of wastewater that is directly discharged from a wastewater discharge point without wastewater treatment, wherein the amount of the sample is the amount required for the preset element detection.

[0083] In this embodiment, element detection refers to detecting the elements contained in the medical sewage according to all the elements contained in the medical sewage, for example: heavy metal ions, radioactive elements, and acid radical ions.

[0084] In this embodiment, the test result refers to the various elements contained in the medical wastewater sample after element detection and their corresponding contents.

[0085] In this embodiment, the sewage element-type comparison table refers to a table comparing sewage types and corresponding elements contained in the sewage.

[0086] The working principle and beneficial effects of the above technical solution are: by performing element detection on the medical sewage samples at each medical sewage outlet point, the elements contained in the medical sewage samples are obtained, the corresponding sewage types are matched, and the corresponding sewage treatment methods are matched in the type-method database, which is conducive to the subsequent elemental analysis of each sewage sample.

[0087] Embodiment 3:

[0088] According to the system provided by embodiment 1 of the invention, the security verification module includes:

[0089] A standard acquisition unit: determining a first discharge standard of the sewage discharge site based on the water source use of the sewage discharge site;

[0090] Grade analysis unit: compare the first discharge standard of the same sewage discharge site with the safety discharge standard corresponding to each sewage treatment method, determine the relative standard grade of each sewage treatment method, and obtain the relative risk elements;

[0091] Element detection unit: obtains real-time sewage samples from each sewage discharge site, and performs element detection to obtain the first real-time results;

[0092] Dangerous parameter acquisition unit: treat the corresponding sewage discharge site according to the specified sewage treatment method, and perform element detection on the sewage after being treated in accordance with the sewage links in sequence to obtain the second real-time results under different sewage processes;

[0093] A change curve construction unit: determining a parameter change curve of the same element according to the first real-time result and all the second real-time results;

[0094] A change judgment unit: based on the parameter change curve, obtaining a first curvature between every two adjacent points;

[0095] A difference calculation unit: calculates the difference between every two adjacent first curvatures to obtain a first difference, and determines a first quantity where the first difference is less than a preset curvature difference;

[0096] A continuous determination unit: if the first number is greater than or equal to a preset continuous number, determining that the dangerous element corresponding to the parameter change curve is a continuous processing attribute;

[0097] Reference hazard acquisition unit: extracting reference hazard elements consistent with the specified sewage treatment method from the relative hazard elements;

[0098] Comparison unit: performing a first comparison based on the final value of the reference hazardous element and the final value of the parameter change curve of the same element corresponding to the continuous processing attribute, and at the same time, extracting the parameter change amount of adjacent turning points in the parameter change curve of the same element, and performing a second comparison with the corresponding standard change amount;

[0099] An abnormal parameter acquisition unit: based on the first comparison result and the second comparison result, acquires an abnormal parameter, wherein the abnormal parameter is a final dangerous element and a dangerous amount of the final dangerous element.

[0100] In this embodiment, the sewage discharge site refers to the location where medical sewage is finally discharged into the water source after undergoing a corresponding sewage treatment method.

[0101] In this embodiment, the water source usage refers to the usage of the water source into which the sewage is discharged, for example: drinking water usage, industrial usage.

[0102] In this embodiment, the first discharge standard refers to the content standard of each element in the sewage that needs to be met when discharging sewage at the sewage discharge site.

[0103] In this embodiment, the relative standard level refers to the level corresponding to each sewage treatment method obtained by analyzing the first emission standard and the safety emission standard corresponding to each sewage treatment method, and comparing the content of hazardous elements in the sewage treated by each sewage treatment method with the content of hazardous elements in the first emission standard. The closer the safety emission standard is to the first emission standard, the higher the standard level.

[0104] In this embodiment, the relatively dangerous elements refer to the dangerous elements that are the same in the first emission standard and the safety emission standard, which are obtained by analyzing the first emission standard and the safety emission standard corresponding to each sewage treatment method.

[0105] In this embodiment, the real-time sewage sample refers to the sewage sample for element detection obtained in real time at each sewage discharge site, wherein the amount of the sample is the amount required for the preset element detection.

[0106] In this embodiment, the first real-time result refers to all elements and the amounts of the corresponding elements in the real-time sewage sample after the real-time sewage sample is subjected to element detection.

[0107] In this embodiment, the sewage stage refers to the stage of treating sewage according to a sewage treatment method.

[0108] In this embodiment, the second real-time result refers to treating the corresponding sewage discharge site according to the specified sewage treatment method, and performing element detection on the sewage after being treated in sequence according to the sewage links, so as to obtain the elements contained in the sewage under different sewage processes and the corresponding contents.

[0109] In this embodiment, the parameter change curve refers to a curve chart showing how the content of the same element in the first real-time result and all the second real-time results changes with time during sewage treatment.

[0110] In this embodiment, the first curvature refers to the curvature of the connecting curve of every two adjacent points in the parameter variation curve.

[0111] In this embodiment, the first difference refers to the difference between every two adjacent first curvatures.

[0112] In this embodiment, the preset curvature difference refers to the maximum value of the difference between two adjacent first curvatures within the preset difference indicating that the curvatures are equal.

[0113] In this embodiment, the first number refers to the number of first differences among all first differences that are smaller than the preset curvature difference.

[0114] In this embodiment, the preset continuous number refers to a preset minimum value representing the number of continuous changes in the curve with the same curvature.

[0115] In this embodiment, the continuous treatment attribute refers to the fact that the dangerous element in the parameter change curve is a continuous influence, indicating that the corresponding sewage treatment method is abnormal.

[0116] In this embodiment, the reference hazardous element refers to the hazardous element in the relative hazardous element that is the same as the hazardous element after being treated by the designated sewage treatment method.

[0117] In this embodiment, the first comparison refers to comparing whether the final value of the reference hazardous element is the same as the final value of the parameter change curve of the same element corresponding to the continuous processing attribute.

[0118] In this embodiment, the parameter variation refers to the difference in the content of the element corresponding to adjacent turning points in the parameter variation curve of the same element.

[0119] In this embodiment, the standard variation refers to the difference in the content of the element corresponding to adjacent turning points in the sewage treatment process corresponding to the parameter variation curve of the same element.

[0120] In this embodiment, the second comparison refers to comparing whether the parameter variation and the standard variation are the same.

[0121] In this embodiment, the first comparison result refers to whether the final value of the reference hazardous element is the same as the final value of the parameter change curve of the same element corresponding to the continuous processing attribute.

[0122] In this embodiment, the second comparison result refers to whether the parameter change amount and the standard change amount are the same.

[0123] In this embodiment, the final dangerous element refers to an element for which the first comparison result and the second comparison result are the same.

[0124] In this embodiment, the dangerous amount refers to the content of the element corresponding to the final moment of the parameter change curve corresponding to the final dangerous element.

[0125] The working principle and beneficial effects of the above technical solution are: by analyzing the sewage treatment method, the water source purpose of the sewage discharge site is obtained, so as to obtain the corresponding sewage discharge safety standards and dangerous elements that endanger the water source of the sewage discharge site, and detect the real-time sewage samples of each sewage discharge site to determine whether there are dangerous elements. If so, the historical data of the dangerous elements is obtained, and the curve is constructed for analysis to determine whether the dangerous elements are sudden changes or continuous changes, and the sewage discharge is stopped for adjustment, which is conducive to improving the efficiency of abnormal adjustments in the medical sewage treatment process, ensuring that the medical sewage treatment meets safety standards, ensuring the safety of the medical sewage discharge environment, and improving the efficiency of medical sewage treatment.

[0126] Embodiment 4:

[0127] According to the system provided by embodiment 1 of the invention, the process monitoring module includes:

[0128] Parameter analysis unit: Send abnormal parameters to the safety monitoring cloud center, and obtain the abnormal processing link where abnormalities may occur according to the dangerous amount of dangerous elements;

[0129] Adjustment method acquisition unit: based on each exception handling link and the exception adjustment method database, obtain the corresponding adjustment method.

[0130] In this embodiment, the abnormality processing link refers to the processing link where abnormalities may occur, which is obtained by analyzing the dangerous amount of dangerous elements in abnormal parameters based on the security monitoring cloud center.

[0131] In this embodiment, the abnormal adjustment method database refers to a database including abnormal processing links and corresponding abnormal adjustment methods.

[0132] The working principle and beneficial effect of the above technical solution are: by sending abnormal parameters to the safety monitoring cloud center, the abnormal processing links where abnormalities may occur are obtained according to the dangerous amount of dangerous elements, and the corresponding adjustment methods are obtained based on each abnormal processing link and the abnormal adjustment method database, which is conducive to improving the efficiency of abnormal adjustment in the medical wastewater treatment process.

[0133] Embodiment 5:

[0134] According to the system provided by embodiment 1 of the invention, the process monitoring module further includes:

[0135] An adjustment unit is configured to adjust the corresponding exception handling link based on the adjustment method;

[0136] Sample acquisition unit: after the adjustment is completed, the discharge switch of the sewage containing the hazardous element is turned on, and after the sewage is treated according to the abnormal adjustment link, the adjusted sewage sample under the corresponding link is obtained;

[0137] Danger judgment unit: perform element detection on all adjusted sewage samples, obtain the third detection result, and judge whether the third detection result contains corresponding dangerous elements;

[0138] Early warning unit: if the third detection result contains the corresponding hazardous element, the discharge of sewage containing the hazardous element is stopped, and an early warning report is sent to the safety monitoring cloud center;

[0139] Adjustment completion unit: if the third detection result does not contain the corresponding hazardous element, then obtain the adjustment process parameters.

[0140] In this embodiment, adjusting the sewage sample refers to the sewage sample discharged from the sewage treatment link corresponding to the abnormal link after adjusting the abnormal link, wherein the amount of the sample is the amount required for the preset element detection.

[0141] In this embodiment, the third detection result refers to the various elements in the adjusted sewage sample and their corresponding contents.

[0142] In this embodiment, the early warning report refers to a report of manual early warning and elimination of abnormalities.

[0143] In this embodiment, the adjustment process parameters refer to the duration of the adjustment process and the sewage samples obtained at each moment in the adjustment process during the abnormality processing step of the adjustment.

[0144] The working principle and beneficial effects of the above technical solution are: after adjusting all the abnormal processing links, the discharge of sewage containing the hazardous element is started, the adjusted sewage samples after each abnormal processing link are obtained, and it is determined whether the adjusted sewage samples contain hazardous elements. If so, an early warning report is sent to the security monitoring cloud center to request manual processing, so as to ensure the safety of the medical sewage discharge environment and improve the efficiency of medical sewage treatment.

[0145] Embodiment 6:

[0146] According to the system provided by Embodiment 5 of the present invention, the early warning unit includes:

[0147] Abnormal location acquisition unit: When the security monitoring cloud center receives an early warning report, it obtains the abnormal location of all abnormal processing links;

[0148] Manual maintenance unit: Based on the abnormal location and the real-time location of the maintenance personnel, the maintenance details are sent to the maintenance personnel closest to the abnormal location.

[0149] In this embodiment, the abnormal position refers to the exact position where the abnormality occurs in the abnormality handling link.

[0150] In this embodiment, the real-time location of the maintenance personnel refers to the real-time location of the sewage treatment maintenance personnel.

[0151] In this embodiment, the maintenance details refer to the abnormal location and abnormal parameters.

[0152] The working principle and beneficial effect of the above technical solution are: by arranging the nearest maintenance personnel to perform manual maintenance on the abnormal location, the monitoring efficiency of medical wastewater treatment is improved.

[0153] Embodiment 7:

[0154] According to the system provided by embodiment 1 of the invention, adjusting the verification module includes:

[0155] Sample acquisition unit: based on the adjustment process parameters, obtains the adjustment process duration and the first sewage sample acquired at each moment in the adjustment process;

[0156] Hazard analysis unit: performing element detection on the first sewage sample to obtain a first variation curve diagram of the same hazardous element;

[0157] An index calculation unit: based on the duration of the adjustment process and the first change curve diagram, calculates an adjustment effectiveness index of the adjustment process;

[0158] Duration acquisition unit: if the adjusted effective index is greater than the preset effective index, the first duration of each dangerous element content reaching 0 is acquired;

[0159] Log generation unit: based on the first duration and adjustment process parameters, generates an adjustment log and stores it in the security monitoring cloud center.

[0160] In this embodiment, the adjustment process duration refers to the time taken from the start to the end of the adjustment.

[0161] In this embodiment, the first sewage sample refers to a sample of sewage discharged from the abnormality processing link of the adjustment obtained at each moment during the adjustment process.

[0162] In this embodiment, the first variation curve graph refers to a curve graph showing how the content of the same hazardous element in the first sewage sample at each moment in the adjustment changes with time.

[0163] In this embodiment, the adjustment effectiveness index refers to an index obtained by calculating the first change curve graph and capable of indicating whether the current adjustment is effective.

[0164] In this embodiment, the preset validity index refers to a preset minimum value of an index indicating that the adjustment method corresponding to the first change curve diagram is valid.

[0165] In this embodiment, the first time duration refers to the time duration for the dangerous element content corresponding to each first change curve graph to reach 0.

[0166] The working principle and beneficial effects of the above technical solution are: by analyzing the adjustment process parameters, the adjustment process duration and the first sewage sample obtained at each moment in the adjustment process are obtained, element detection is performed on the first sewage sample, and the first change curve diagram of the same hazardous element is obtained; based on the adjustment process duration and the first change curve diagram, the adjustment effectiveness index of the adjustment process is calculated, and the adjustment process is accurately evaluated, which is conducive to the optimization of the adjustment process and ensures the effect of medical sewage treatment.

[0167] Embodiment 8:

[0168] According to the system provided by embodiment 1 of the invention, the index calculation unit includes:

[0169]

[0170] Wherein, E represents the adjustment effectiveness index of the adjustment process; n represents the number of all moments in the first change curve diagram; x i Indicates the content of the hazardous element corresponding to the i-th moment in the first change curve; a i represents the adjustment method of the hazardous element corresponding to the first change curve. In the curve of adjusting the hazardous element under normal circumstances, the content of the hazardous element corresponding to the i-th moment; t represents the duration of the adjustment process corresponding to the first change curve; t 标 Indicates the duration of the adjustment process of the dangerous element corresponding to the first variation curve under normal circumstances; x max represents the maximum peak value in the first variation curve; a max represents the maximum peak value of the curve of adjusting the dangerous element under normal circumstances in the adjustment mode of the dangerous element corresponding to the first variation curve; x min represents the minimum peak value in the first variation curve; a min The minimum peak value of the curve of adjusting the dangerous element under normal circumstances represents the adjustment method of the dangerous element corresponding to the first variation curve.

[0171] The working principle and beneficial effects of the above technical solution are: by calculating the adjustment effectiveness index of the adjustment process, the adjustment process can be accurately evaluated, which is conducive to optimizing the adjustment process and ensuring the effect of medical wastewater treatment.

[0172] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A monitoring system for medical wastewater, characterized in that: include: Element detection module: performs element detection on medical sewage, roughly determines the type of sewage based on multiple detection elements, and matches the sewage treatment method consistent with the sewage type; Safety verification module: Based on the safety discharge standards corresponding to each sewage treatment method, the detected medical sewage discharge parameters are safety verified, the parameter change curve of the same element is determined, and the final value in the parameter change curve and the parameter change amount of adjacent turning points are analyzed to determine the final hazardous elements and hazardous amounts; Process monitoring module: determining the abnormality handling link based on the final dangerous element and the dangerous amount, and monitoring the adjustment process based on the monitoring center; Comparative analysis module: analyzes the adjustment effectiveness index according to the monitoring results, and generates an adjustment log by comparing and analyzing with the preset effectiveness index and storing it in the monitoring center.

2. The system according to claim 1, characterized in that The element detection module comprises: Detection unit: obtain medical sewage samples from each medical sewage outlet point and conduct element detection; Type matching unit: Based on the sewage element-type comparison table, it matches the element density combination of multiple detection elements to obtain the corresponding sewage type; Method matching unit: Match the sewage type with the type-method database to obtain the sewage treatment method.

3. The system according to claim 1, characterized in that The security verification module comprises: A standard acquisition unit: determining a first discharge standard of the sewage discharge site based on the water source use of the sewage discharge site; Grade analysis unit: compare the first discharge standard of the same sewage discharge site with the safety discharge standard corresponding to each sewage treatment method, determine the relative standard grade of each sewage treatment method, and obtain the relative risk elements; Element detection unit: obtains real-time sewage samples from each sewage discharge site, and performs element detection to obtain the first real-time results; Dangerous parameter acquisition unit: treat the corresponding sewage discharge site according to the specified sewage treatment method, and perform element detection on the sewage after being treated in accordance with the sewage links in sequence to obtain the second real-time results under different sewage processes; A change curve construction unit: determining a parameter change curve of the same element according to the first real-time result and all the second real-time results; A change judgment unit: based on the parameter change curve, obtaining a first curvature between every two adjacent points; A difference calculation unit: calculates the difference between every two adjacent first curvatures to obtain a first difference, and determines a first quantity where the first difference is less than a preset curvature difference; A continuous determination unit: if the first number is greater than or equal to a preset continuous number, determining that the dangerous element corresponding to the parameter change curve is a continuous processing attribute; Reference hazard acquisition unit: extracting reference hazard elements consistent with the specified sewage treatment method from the relative hazard elements; Comparison unit: performing a first comparison based on the final value of the reference hazardous element and the final value of the parameter change curve of the same element corresponding to the continuous processing attribute, and at the same time, extracting the parameter change amount of adjacent turning points in the parameter change curve of the same element, and performing a second comparison with the corresponding standard change amount; An abnormal parameter acquisition unit: based on the first comparison result and the second comparison result, acquires the abnormal parameter, wherein the abnormal parameter is the final dangerous element and the dangerous amount of the final dangerous element.

4. The system according to claim 1, characterized in that Process monitoring module, including: Parameter analysis unit: Send abnormal parameters to the safety monitoring cloud center, and obtain the abnormal processing link where abnormalities may occur according to the dangerous amount of dangerous elements; Adjustment method acquisition unit: based on each exception handling link and the exception adjustment method database, obtain the corresponding adjustment method.

5. The system according to claim 4, characterized in that The process monitoring module also includes: An adjustment unit is configured to adjust the corresponding exception handling link based on the adjustment method; Sample acquisition unit: after the adjustment is completed, the discharge switch of the sewage containing the hazardous element is turned on, and after the sewage is treated according to the abnormal adjustment link, the adjusted sewage sample under the corresponding link is obtained; Danger judgment unit: perform element detection on all adjusted sewage samples, obtain the third detection result, and judge whether the third detection result contains corresponding dangerous elements; Early warning unit: if the third detection result contains the corresponding hazardous element, the discharge of sewage containing the hazardous element is stopped, and an early warning report is sent to the safety monitoring cloud center; Adjustment completion unit: if the third detection result does not contain the corresponding hazardous element, then obtain the adjustment process parameters.

6. The system according to claim 5, characterized in that Early warning unit, including: Abnormal location acquisition unit: When the security monitoring cloud center receives an early warning report, it obtains the abnormal location of all abnormal processing links; Manual maintenance unit: Based on the abnormal location and the real-time location of the maintenance personnel, the maintenance details are sent to the maintenance personnel closest to the abnormal location.

7. The system according to claim 5, characterized in that Comparative analysis module, including: Sample acquisition unit: based on the adjustment process parameters, obtains the adjustment process duration and the first sewage sample acquired at each moment in the adjustment process; Hazard analysis unit: performing element detection on the first sewage sample to obtain a first variation curve diagram of the same hazardous element; An index calculation unit: based on the duration of the adjustment process and the first change curve diagram, calculates an adjustment effectiveness index of the adjustment process; Duration acquisition unit: if the adjusted effective index is greater than the preset effective index, the first duration of each dangerous element content reaching 0 is acquired; Log generation unit: based on the first duration and adjustment process parameters, generates an adjustment log and stores it in the security monitoring cloud center.

8. The system according to claim 7, characterized in that Index calculation unit, including: Wherein, E represents the adjustment effectiveness index of the adjustment process; n represents the number of all moments in the first change curve diagram; x i Indicates the content of the hazardous element corresponding to the i-th moment in the first change curve; a i represents the adjustment method of the hazardous element corresponding to the first change curve. In the curve of adjusting the hazardous element under normal circumstances, the content of the hazardous element corresponding to the i-th moment; t represents the duration of the adjustment process corresponding to the first change curve; t 标 Indicates the duration of the adjustment process of the dangerous element corresponding to the first variation curve under normal circumstances; x max represents the maximum peak value in the first variation curve; a max represents the maximum peak value of the curve of adjusting the dangerous element under normal circumstances in the adjustment mode of the dangerous element corresponding to the first variation curve; x min represents the minimum peak value in the first variation curve; a min The minimum peak value of the curve of adjusting the dangerous element under normal circumstances represents the adjustment method of the dangerous element corresponding to the first variation curve.