Medical wastewater intelligent monitoring system based on big data

Abstract

The invention relates to the technical field of wastewater monitoring, in particular to a medical wastewater intelligent monitoring system based on big data, comprising an information acquisition module used for acquiring wastewater information, groundwater information and groundwater use type; the wastewater monitoring module is used for analyzing the abnormality of the water quality of the wastewater and adjusting the analysis process of the abnormality of the water quality of the wastewater according to the obtained underground water use type; the load analysis module is used for analyzing the abnormality of the wastewater discharge load; the early warning module is used for carrying out waste water quality abnormity early warning on a user; the groundwater monitoring module is used for analyzing the abnormality of the water quality of groundwater; and the early warning updating module is used for updating the early warning process of the waste water quality abnormity in the next management period according to the early warning result of the waste water quality abnormity in the management period and the analysis result of the underground water quality abnormity, and optimizing the updating process. The monitoring efficiency of the medical wastewater is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater monitoring, and in particular to an intelligent medical wastewater monitoring system based on big data. Background Art

[0002] With the development of the medical industry, the amount of medical wastewater generated is increasing. Medical wastewater contains a large amount of harmful substances, which, if not properly treated, will pose a serious threat to the environment and human health. Traditional medical wastewater treatment and monitoring methods mostly rely on manual sampling and laboratory analysis, which is not only time-consuming and labor-intensive, but also unable to achieve continuous monitoring and real-time feedback.

[0003] Chinese patent publication number CN116881747A discloses an intelligent processing method and system based on medical wastewater monitoring, which relates to the field of data processing technology. The method includes: traversing medical business types to associate pollutants, generating multiple groups of associated pollutants and multiple groups of pollutant raw material consumption coefficients, accumulating the total number of execution units in combination with the business execution time zone and the business execution scale, generating pollutant prediction content, deleting pollutant types that are less than the predicted content threshold, generating retained pollutant types, configuring pollutant monitoring devices, processing sewage sampling results through the pollutant monitoring device, generating multiple pollutant monitoring contents for centralized value evaluation, generating pollutant representative contents, adding pollutant representative contents to medical wastewater monitoring results, solving the technical problem that the prior art determines pollutants by sampling and testing pollutant discharge wastewater, and its poor pertinence leads to low pollutant detection efficiency, realizing rational monitoring based on medical wastewater, and improving pollutant detection efficiency; it can be seen that when monitoring medical wastewater, the scheme only analyzes the pollutant content, and there is a problem of low medical wastewater monitoring efficiency. Summary of the invention

[0004] To this end, the present invention provides a medical wastewater intelligent monitoring system based on big data to overcome the problem of low efficiency of medical wastewater monitoring in the prior art.

[0005] To achieve the above object, the present invention provides a medical wastewater intelligent monitoring system based on big data, the system comprising:

[0006] Information acquisition module, used to obtain wastewater information, groundwater information and groundwater use type;

[0007] Wastewater monitoring module, used to analyze the abnormality of wastewater quality based on the ammonia nitrogen concentration, mercury concentration and COD in the wastewater obtained during the monitoring period, and adjust the analysis process of wastewater quality abnormality based on the obtained groundwater use type;

[0008] The load analysis module is used to analyze the abnormality of the wastewater discharge load according to the wastewater discharge volume obtained during the monitoring period;

[0009] The early warning module is used to warn users of abnormal wastewater quality based on the analysis results of abnormal wastewater quality and abnormal wastewater discharge load during the monitoring period;

[0010] The groundwater monitoring module is used to analyze the abnormality of groundwater quality based on the ammonia nitrogen concentration, mercury concentration and COD in the groundwater obtained during the management period;

[0011] The early warning update module is used to update the process of wastewater quality abnormality early warning for the next management cycle based on the results of wastewater quality abnormality early warning within the management cycle and the analysis results of groundwater quality abnormality, and to optimize the update process of wastewater quality abnormality early warning for the next management cycle based on the wastewater discharge volume obtained within the management cycle.

[0012] Furthermore, the wastewater monitoring module is provided with a wastewater monitoring unit, an abnormality analysis unit and an adjustment unit, and the wastewater monitoring unit is used to compare the ammonia nitrogen concentration a0 in the wastewater obtained during the monitoring period with the first preset ammonia nitrogen concentration a1, and analyze the ammonia nitrogen concentration abnormality index Nn according to the comparison result;

[0013] The wastewater monitoring unit compares the mercury concentration zs0 in the wastewater obtained during the monitoring period with the first preset mercury concentration zs1, and analyzes the heavy metal anomaly index Zz according to the comparison result;

[0014] The wastewater monitoring unit compares the COD in the wastewater obtained during the monitoring period with the first preset COD, and analyzes the COD abnormality index Dd according to the comparison result.

[0015] Furthermore, the abnormality analysis unit is used to analyze the abnormality of wastewater quality according to the analysis results of the ammonia nitrogen abnormality index, the heavy metal abnormality index and the COD abnormality index during the monitoring period, wherein:

[0016] When x1×Nn+x2×Zz+x3×Dd≤u1, the abnormality analysis unit determines that the wastewater quality in the current monitoring period is normal;

[0017] When x1×Nn+x2×Zz+x3×Dd>u1, the abnormality analysis unit determines that the wastewater quality in the current monitoring period is abnormal;

[0018] Among them, x1 is the preset ammonia nitrogen weight, x2 is the heavy metal weight, x3 is the preset COD weight, u1 is the first preset abnormal coefficient, Nn is the analysis result of the ammonia nitrogen abnormality index, Zz is the analysis result of the heavy metal abnormality index, and Dd is the analysis result of the COD abnormality index.

[0019] Furthermore, the adjustment unit is used to adjust the analysis process of wastewater quality abnormality according to the acquired groundwater use type, wherein:

[0020] When the groundwater use type is industrial water, the adjustment unit does not adjust the analysis process of wastewater quality abnormality;

[0021] When the groundwater use type is irrigation water, the adjustment unit adjusts the analysis process of wastewater quality abnormality, sets the adjusted preset ammonia nitrogen concentration to a1', and sets a1'=a1×(1+α), where α is the preset adjustment ratio.

[0022] Furthermore, the load analysis module compares the wastewater discharge volume p0 obtained during the monitoring period with the first preset discharge volume p1, and analyzes the abnormality of the wastewater discharge load according to the comparison result, wherein:

[0023] When p0≤p1, the load analysis module determines that the wastewater discharge load in the current monitoring period is normal;

[0024] When p0>p1, the load analysis module determines that the wastewater discharge load in the current monitoring period is abnormal.

[0025] Furthermore, the early warning module provides an abnormal wastewater quality warning to the user based on the analysis results of the abnormal wastewater quality and the abnormal wastewater discharge load during the monitoring period, wherein:

[0026] When the wastewater quality is abnormal during the monitoring period, the early warning module warns the user of the abnormal wastewater quality;

[0027] When the wastewater quality is normal during the monitoring period, if the wastewater discharge load is normal during the monitoring period, the early warning module does not issue an abnormal wastewater quality warning to the user; if the wastewater discharge load is abnormal during the monitoring period and (u1-x1×Nn-x2×Zz-x3×Dd) / u1≤β, the early warning module issues an abnormal wastewater quality warning to the user; if the wastewater discharge load is abnormal during the monitoring period and (x1×Nn+x2×Zz+x3×Dd-u1) / u1>β, the early warning module does not issue an abnormal wastewater quality warning to the user, wherein β is a preset proportional coefficient.

[0028] Furthermore, the groundwater monitoring module is provided with a groundwater monitoring unit and a water quality analysis unit, and the groundwater monitoring unit is used to compare the ammonia nitrogen concentration a2 in the groundwater obtained during the management period with the second preset ammonia nitrogen concentration a3, and analyze the abnormality of the ammonia nitrogen concentration in the groundwater according to the comparison result, wherein:

[0029] When a2≤a3, the groundwater monitoring unit determines that the ammonia nitrogen concentration in the groundwater during the current management period is normal;

[0030] When a2>a3, the groundwater monitoring unit determines that the ammonia nitrogen concentration in the groundwater in the current management period is abnormal, and sets the groundwater ammonia nitrogen abnormality coefficient to AN, setting AN=exp{lg[(a2-a3) / (a3+a2)]};

[0031] The groundwater monitoring unit compares the mercury concentration zs2 in the groundwater obtained during the management period with the second preset mercury concentration zs3, and analyzes the abnormality of the heavy metal concentration in the groundwater according to the comparison result, wherein:

[0032] When zs2≤zs3, the groundwater monitoring unit determines that the heavy metal concentration in the groundwater during the current management period is normal;

[0033] When zs2>zs3, the groundwater monitoring unit determines that the heavy metal concentration in the groundwater in the current management period is abnormal, and sets the groundwater heavy metal anomaly coefficient to AZ, setting AZ=sin{arctan[(zs2-zs3)×(π / 4) / (zs2+zs3)]};

[0034] The groundwater monitoring unit compares the COD in the groundwater obtained during the management period with the second preset COD, and analyzes the abnormality of the COD in the groundwater according to the comparison result, wherein:

[0035] When c2≤c3, the groundwater monitoring unit determines that the COD in the groundwater is normal during the current management period;

[0036] When c2>c3, the groundwater monitoring unit determines that the COD in the groundwater in the current management period is abnormal, and sets the groundwater COD abnormality coefficient to AD, setting AD=(c2-c3) / (c2+c3).

[0037] Furthermore, the water quality monitoring unit is used to analyze the abnormality of groundwater quality according to the analysis results of abnormality of groundwater ammonia nitrogen concentration, abnormality of mercury concentration and abnormality of COD within the management period, wherein:

[0038] When AN+AZ+AD≤E, the water quality monitoring unit determines that the groundwater quality in the current management period is normal;

[0039] When AN+AZ+AD>E, the water quality monitoring unit determines that the groundwater quality in the current management period is abnormal;

[0040] Among them, E is the second preset abnormal coefficient. When the ammonia nitrogen concentration in the groundwater is normal within the management period, the value of AN is 0. When the mercury concentration in the groundwater is normal within the management period, the value of AZ is 0. When the COD in the groundwater is normal within the management period, the value of AD is 0.

[0041] Furthermore, the warning update module is provided with an updating unit and an optimizing unit, and the updating unit is used to update the process of abnormal wastewater quality warning in the next management period according to the results of abnormal wastewater quality warning in the management period and the analysis results of abnormal groundwater quality, wherein:

[0042] When the groundwater quality is normal within the management cycle, the updating unit does not update the process of abnormal wastewater quality warning for the next management cycle;

[0043] When the groundwater quality is abnormal within the management period, the update unit updates the process of abnormal wastewater quality warning for the next management period. If i1 / i0≤r, the first preset abnormal coefficient after update by the update unit is set to u1'; if i1 / i0>r, the first preset abnormal coefficient after update by the update unit is set to u1", setting: u1"=u1×γ×ln(i1 / i0-r+1)×exp[-(AN+AZ+AD-E)];

[0044] Among them, r is the preset abnormal proportion, i1 is the number of monitoring cycles for abnormal water quality warnings to users within the management period, i0 is the number of monitoring cycles within the management period, and γ is the preset adjustment coefficient.

[0045] Furthermore, the optimization unit is used to compare the wastewater discharge volume q0 obtained during the management period with the second preset discharge volume q1, and optimize the updating process of the wastewater quality abnormal warning process according to the comparison result, wherein:

[0046] When q0≤q1, the optimization unit determines that the wastewater discharge volume in the current management period is abnormal, and optimizes the updating process of the wastewater quality abnormal warning process, and sets the optimized preset adjustment coefficient to γ', setting γ'=γ×cos{si n[(q1-q0)×(π / 2) / q1]};

[0047] When q0>q1, the optimization unit determines that the wastewater discharge volume in the current management cycle is normal and does not perform optimization.

[0048] Compared with the prior art, the beneficial effects of the present invention are that the wastewater monitoring module improves the accuracy of ammonia nitrogen anomaly index analysis by setting a first preset ammonia nitrogen concentration, improves the accuracy of heavy metal anomaly index analysis by setting a first preset mercury concentration, improves the accuracy of COD anomaly index analysis by setting a first preset COD, improves the accuracy of wastewater quality anomaly analysis by setting each weight and the first preset anomaly coefficient, and adjusts the analysis process of wastewater quality anomaly according to different types to improve the accuracy of wastewater quality anomaly analysis, the load analysis module improves the accuracy of wastewater discharge load anomaly analysis by setting a first preset discharge amount, the early warning module improves the efficiency of early warning of wastewater quality anomaly to users by setting a preset proportional coefficient, thereby improving the accuracy of early warning of wastewater quality anomaly to users, and the groundwater The monitoring module improves the accuracy of abnormal analysis of ammonia nitrogen concentration in groundwater by setting a second preset ammonia nitrogen concentration, improves the accuracy of heavy metal concentration analysis in groundwater by setting a second preset mercury concentration, improves the accuracy of abnormal analysis of COD concentration in groundwater by setting a second preset COD, and improves the accuracy of abnormal analysis of groundwater quality by setting a second preset abnormal coefficient. The early warning update module makes multi-faceted adjustments to the process of providing abnormal wastewater quality warning to users by setting preset abnormal proportions and preset adjustment coefficients, thereby improving the accuracy of abnormal wastewater quality warning to users. The second preset discharge volume is set to reduce the impact of abnormal wastewater discharge volume on the process of abnormal wastewater quality warning to users, thereby improving the accuracy of abnormal wastewater quality warning to users, thereby improving the efficiency of medical wastewater monitoring to users. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a schematic diagram of the structure of the medical wastewater intelligent monitoring system based on big data in this embodiment.

[0050] Figure 2 Schematic diagram of the structure of the wastewater monitoring module of this embodiment.

[0051] Figure 3 Schematic diagram of the structure of the groundwater monitoring module of this embodiment.

[0052] Figure 4 This is a schematic diagram of the structure of the early warning update module in this embodiment. DETAILED DESCRIPTION

[0053] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0055] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] See also Figure 1 As shown, it is a structural schematic diagram of the medical wastewater intelligent monitoring system based on big data in this embodiment, and the system includes:

[0057] The information acquisition module is used to obtain wastewater information, groundwater information and groundwater use type. The wastewater information includes wastewater discharge, ammonia nitrogen concentration in wastewater, mercury concentration and COD. The ammonia nitrogen concentration is the concentration of NH3 and ammonium ions NH4 in water. + The total amount of nitrogen in the form of groundwater, the groundwater information includes the ammonia nitrogen concentration, mercury concentration, COD in the groundwater, and the groundwater use types include irrigation water and industrial water, and the irrigation water is water used for agricultural irrigation. The industrial water is water used in industrial production, such as cooling water, process water, cleaning water, etc.; In this embodiment, there is no specific limitation on the acquisition method of wastewater information, groundwater information and groundwater use type, and those skilled in the art can freely set it, as long as the acquisition requirements of wastewater information, groundwater information and groundwater use type are met, wherein the wastewater discharge can be obtained by a flow sensor, the ammonia nitrogen concentration in the wastewater and the ammonia nitrogen concentration in the groundwater can be obtained by an ammonia nitrogen sensor, the mercury concentration can be obtained by an electrochemical sensor, the COD can be obtained by a COD sensor, and the groundwater use type can be obtained by interaction;

[0058] The wastewater monitoring module is used to analyze the abnormality of the wastewater quality according to the ammonia nitrogen concentration, mercury concentration and COD in the wastewater obtained during the monitoring period, and adjust the analysis process of the abnormality of the wastewater quality according to the acquired groundwater use type. The wastewater monitoring module is connected to the information acquisition module. In this embodiment, the setting of the monitoring period is not specifically limited, and those skilled in the art can freely set it as long as the setting requirements of the monitoring period are met. Among them, the monitoring period can be set to 3 minutes, 5 minutes, etc.;

[0059] A load analysis module, used to analyze the abnormality of the wastewater discharge load according to the wastewater discharge volume obtained during the monitoring period, and the load analysis module is connected to the information acquisition module;

[0060] An early warning module, used to warn users of abnormal wastewater quality according to the analysis results of abnormal wastewater quality and abnormal wastewater discharge load within the monitoring period, and the early warning module is connected to the wastewater monitoring module and the load analysis module;

[0061] A groundwater monitoring module is used to analyze the abnormality of groundwater quality according to the ammonia nitrogen concentration, mercury concentration and COD in the groundwater obtained during the management period. The groundwater monitoring module is connected to the early warning module. In this embodiment, the setting of the management period is not specifically limited, and those skilled in the art can freely set it as long as the setting requirements of the management period are met. The management period can be set to 20 days, 30 days, etc.;

[0062] The early warning update module is used to update the process of wastewater quality abnormality early warning in the next management cycle according to the results of wastewater quality abnormality early warning within the management cycle and the analysis results of groundwater quality abnormality, and optimize the update process of wastewater quality abnormality early warning process in the next management cycle according to the wastewater discharge volume obtained within the management cycle. The early warning update module is connected to the groundwater monitoring module.

[0063] See also Figure 2 As shown, it is a schematic diagram of the structure of the wastewater monitoring module of this embodiment, including:

[0064] The wastewater monitoring unit is used to analyze the ammonia nitrogen concentration abnormality index according to the ammonia nitrogen concentration in the wastewater obtained during the monitoring period, and is also used to analyze the heavy metal abnormality index according to the mercury concentration in the wastewater obtained during the monitoring period, and is also used to analyze the COD abnormality index according to the COD in the wastewater obtained during the monitoring period;

[0065] An abnormality analysis unit, used to analyze the abnormality of wastewater quality according to the analysis results of the ammonia nitrogen abnormality index, the heavy metal abnormality index and the COD abnormality index within the monitoring period, and the abnormality analysis unit is connected to the wastewater monitoring unit;

[0066] The adjustment unit is used to adjust the analysis process of wastewater quality abnormality according to the acquired groundwater use type, and the adjustment unit is connected to the abnormality analysis unit.

[0067] See also Figure 3 As shown, it is a schematic diagram of the structure of the groundwater monitoring module of this embodiment, including:

[0068] A groundwater monitoring unit is used to analyze the abnormality of ammonia nitrogen concentration in groundwater based on the ammonia nitrogen concentration in groundwater obtained during the management period, and is also used to analyze the abnormality of heavy metal concentration in groundwater based on the mercury concentration in groundwater obtained during the management period, and is also used to analyze the abnormality of COD in groundwater based on the COD in groundwater obtained during the management period;

[0069] The water quality monitoring unit is used to analyze the abnormality of groundwater quality according to the analysis results of the abnormality of groundwater ammonia nitrogen concentration, mercury concentration and COD concentration within the management period. The water quality monitoring unit is connected to the groundwater monitoring unit.

[0070] See also Figure 4 As shown, it is a schematic diagram of the structure of the early warning update module of this embodiment, including:

[0071] An updating unit, used to update the process of abnormal wastewater quality warning for the next management cycle according to the results of abnormal wastewater quality warning within the management cycle and the analysis results of abnormal groundwater quality;

[0072] The optimization unit is used to optimize the updating process of the wastewater quality abnormality warning process according to the wastewater discharge volume obtained during the management period, and the optimization unit is connected to the updating unit.

[0073] Specifically, the big data-based intelligent medical wastewater monitoring system described in this embodiment is applied to the monitoring of medical wastewater whose discharge channel is groundwater recharge. The water quality of medical wastewater is monitored and the monitoring process is adjusted according to the use of groundwater. Combined with the analysis results of abnormal discharge load, the abnormal medical wastewater quality warning is provided to users. Combined with the analysis results of abnormal groundwater quality, the warning process is updated, thereby improving the monitoring efficiency of medical wastewater.

[0074] Specifically, the wastewater monitoring unit compares the ammonia nitrogen concentration a0 in the wastewater obtained during the monitoring period with the first preset ammonia nitrogen concentration a1, and analyzes the ammonia nitrogen concentration abnormality index according to the comparison result, wherein:

[0075] When a0≤a1, the wastewater monitoring unit determines that the ammonia nitrogen concentration in the wastewater in the current monitoring period is normal, and sets the ammonia nitrogen concentration abnormality index to N1, setting N1=0;

[0076] When a0>a1, the wastewater monitoring unit determines that the ammonia nitrogen concentration in the wastewater in the current monitoring period is abnormal, and sets the ammonia nitrogen abnormality index to N2, setting N2=(a0-a1) / a1;

[0077] The wastewater monitoring unit compares the mercury concentration zs0 in the wastewater obtained during the monitoring period with the first preset mercury concentration zs1, and analyzes the heavy metal anomaly index according to the comparison result, wherein:

[0078] When zs0≤zs1, the wastewater monitoring unit determines that the mercury concentration in the wastewater in the current monitoring period is normal, and sets the heavy metal abnormality index to Z1, setting Z1=0;

[0079] When zs0>zs1, the wastewater monitoring unit determines that the mercury concentration in the wastewater in the current monitoring period is abnormal, and sets the heavy metal abnormality index to Z2, setting Z2=(zs0-zs1) / zs1;

[0080] The wastewater monitoring unit compares the COD in the wastewater obtained during the monitoring period with the first preset COD, and analyzes the COD abnormality index according to the comparison result, wherein:

[0081] When c0≤c1, the wastewater monitoring unit determines that the COD in the wastewater in the current monitoring period is normal, and sets the COD abnormality index to D1, setting D1=0;

[0082] When c0>c1, the wastewater monitoring unit determines that the COD in the wastewater in the current monitoring period is abnormal, and sets the COD abnormality index to D2, setting D2=(c0-c1) / c1, c0 is the COD in the wastewater, and c1 is the first preset COD.

[0083] Specifically, the wastewater monitoring unit improves the accuracy of wastewater quality abnormality analysis by setting a first preset ammonia nitrogen concentration to improve the accuracy of ammonia nitrogen abnormality index analysis, sets a first preset mercury concentration to improve the accuracy of heavy metal abnormality index analysis, and sets a first preset COD to improve the accuracy of COD abnormality index analysis, thereby improving the accuracy of wastewater quality abnormality warning to users, and ultimately improving the efficiency of medical wastewater monitoring to users; in this embodiment, the setting of the first preset ammonia nitrogen concentration, the first preset mercury concentration and the first preset COD is not specifically limited, and technical personnel in this field can set them freely, as long as the setting requirements of the first preset ammonia nitrogen concentration, the first preset mercury concentration and the first preset COD are met. Among them, the optimal value of a1 is 6 mg / L, the optimal value of zs1 is 0.005 mg / L, and the optimal value of c1 is 400 mg / L. It is worth noting that in this embodiment, heavy metals such as lead and cadmium can also be added to jointly analyze the abnormality of heavy metal concentrations.

[0084] Specifically, the abnormality analysis unit analyzes the abnormality of wastewater quality according to the analysis results of the ammonia nitrogen abnormality index, the heavy metal abnormality index and the COD abnormality index during the monitoring period, wherein:

[0085] When x1×Nn+x2×Zz+x3×Dd≤u1, the abnormality analysis unit determines that the wastewater quality in the current monitoring period is normal;

[0086] When x1×Nn+x2×Zz+x3×Dd>u1, the abnormality analysis unit determines that the wastewater quality in the current monitoring period is abnormal;

[0087] Among them, x1 is the preset ammonia nitrogen weight, x2 is the heavy metal weight, x3 is the preset COD weight, x1+x2+x3=1, x2>x3>x1, u1 is the first preset abnormality coefficient, 0<u1<0.3, Nn is the analysis result of the ammonia nitrogen abnormality index, Zz is the analysis result of the heavy metal abnormality index, Dd is the analysis result of the COD abnormality index, n=1,2, z=1,2, d=1,2.

[0088] Specifically, the abnormality analysis unit improves the accuracy of wastewater quality abnormality analysis by setting each weight and the first preset abnormality coefficient, thereby improving the accuracy of wastewater quality abnormality warning to users, and ultimately improving the efficiency of medical wastewater monitoring for users; in this embodiment, there is no specific limitation on the setting of each weight and the first preset abnormality coefficient, and technical personnel in this field can set them freely, as long as the setting requirements of each weight and the first preset abnormality coefficient are met, among which the optimal value of x1 is 0.25, the optimal value of x2 is 0.43, the optimal value of x3 is 0.32, and the optimal value of u1 is 0.18.

[0089] Specifically, the adjustment unit adjusts the analysis process of wastewater quality abnormality according to the acquired groundwater use type, wherein:

[0090] When the groundwater use type is industrial water, the adjustment unit does not adjust the analysis process of wastewater quality abnormality;

[0091] When the groundwater usage type is irrigation water, the adjustment unit adjusts the analysis process of wastewater quality abnormality, sets the adjusted preset ammonia nitrogen concentration to a1', and sets a1'=a1×(1+α), where α is the preset adjustment ratio, 0<α<0.15.

[0092] Specifically, the adjustment unit adjusts the analysis process of wastewater quality abnormalities according to different types to improve the accuracy of wastewater quality abnormality analysis, thereby improving the accuracy of wastewater quality abnormality warning to users, and ultimately improving the efficiency of medical wastewater monitoring for users; in this embodiment, there is no specific limitation on the setting of the preset adjustment ratio, and technical personnel in this field can set it freely as long as the setting requirements of the preset adjustment ratio are met, where the optimal value of α is 0.1.

[0093] Specifically, the load analysis module compares the wastewater discharge volume p0 obtained during the monitoring period with the first preset discharge volume p1, and analyzes the abnormality of the wastewater discharge load according to the comparison result, wherein:

[0094] When p0≤p1, the load analysis module determines that the wastewater discharge load in the current monitoring period is normal;

[0095] When p0>p1, the load analysis module determines that the wastewater discharge load in the current monitoring period is abnormal.

[0096] Specifically, the load analysis module improves the accuracy of wastewater discharge load abnormality analysis by setting a first preset discharge volume, thereby improving the accuracy of wastewater quality abnormality warning to users, and ultimately improving the efficiency of medical wastewater monitoring for users; in this embodiment, there is no specific limitation on the setting of the first preset discharge volume, and technical personnel in this field can set it freely as long as the setting requirements of the first preset discharge volume are met. Among them, when the monitoring period is 5 minutes and the hospital is a small hospital, the optimal value of p1 is 50 liters.

[0097] Specifically, the early warning module provides users with an abnormal wastewater quality warning based on the analysis results of the abnormal wastewater quality and the abnormal wastewater discharge load during the monitoring period, wherein:

[0098] When the wastewater quality is abnormal during the monitoring period, the early warning module warns the user of the abnormal wastewater quality;

[0099] When the wastewater quality is normal during the monitoring period, if the wastewater discharge load is normal during the monitoring period, the early warning module does not issue an abnormal wastewater quality warning to the user; if the wastewater discharge load is abnormal during the monitoring period and (u1-x1×Nn-x2×Zz-x3×Dd) / u1≤β, the early warning module issues an abnormal wastewater quality warning to the user; if the wastewater discharge load is abnormal during the monitoring period and (x1×Nn+x2×Zz+x3×Dd-u1) / u1>β, the early warning module does not issue an abnormal wastewater quality warning to the user, wherein β is a preset proportional coefficient, 0<β<0.18.

[0100] Specifically, the early warning module improves the efficiency of warning users of abnormal wastewater quality by setting a preset proportional coefficient, thereby improving the accuracy of warning users of abnormal wastewater quality, thereby improving the monitoring efficiency of medical wastewater; in this embodiment, there is no specific limitation on the setting of the preset proportional coefficient, and technical personnel in this field can set it freely, as long as the setting requirements of the preset proportional coefficient are met, where the optimal value of β is 0.072.

[0101] Specifically, the groundwater monitoring unit compares the ammonia nitrogen concentration a2 in the groundwater obtained during the management period with the second preset ammonia nitrogen concentration a3, and analyzes the abnormality of the ammonia nitrogen concentration in the groundwater according to the comparison result, wherein:

[0102] When a2≤a3, the groundwater monitoring unit determines that the ammonia nitrogen concentration in the groundwater during the current management period is normal;

[0103] When a2>a3, the groundwater monitoring unit determines that the ammonia nitrogen concentration in the groundwater in the current management period is abnormal, and sets the groundwater ammonia nitrogen abnormality coefficient to AN, setting AN=exp{lg[(a2-a3) / (a3+a2)]};

[0104] The groundwater monitoring unit compares the mercury concentration zs2 in the groundwater obtained during the management period with the second preset mercury concentration zs3, and analyzes the abnormality of the heavy metal concentration in the groundwater according to the comparison result, wherein:

[0105] When zs2≤zs3, the groundwater monitoring unit determines that the heavy metal concentration in the groundwater during the current management period is normal;

[0106] When zs2>zs3, the groundwater monitoring unit determines that the heavy metal concentration in the groundwater in the current management period is abnormal, and sets the groundwater heavy metal anomaly coefficient to AZ, setting AZ=sin{arctan[(zs2-zs3)×(π / 4) / (zs2+zs3)]};

[0107] The groundwater monitoring unit compares the COD in the groundwater obtained during the management period with the second preset COD, and analyzes the abnormality of the COD in the groundwater according to the comparison result, wherein:

[0108] When c2≤c3, the groundwater monitoring unit determines that the COD in the groundwater is normal during the current management period;

[0109] When c2>c3, the groundwater monitoring unit determines that the COD in the groundwater is abnormal in the current management period, and sets the groundwater COD abnormality coefficient to AD, setting AD=(c2-c3) / (c2+c3), c2 is the COD in the groundwater, and c3 is the second preset COD.

[0110] Specifically, the groundwater monitoring unit improves the accuracy of abnormal analysis of groundwater quality by setting a second preset ammonia nitrogen concentration to improve the accuracy of abnormal analysis of ammonia nitrogen concentration in groundwater, sets a second preset mercury concentration to improve the accuracy of heavy metal concentration analysis in groundwater, and sets a second preset COD to improve the accuracy of abnormal analysis of COD concentration in groundwater, thereby improving the accuracy of abnormal analysis of groundwater quality, thereby improving the accuracy of abnormal wastewater quality warning to users, and ultimately improving the efficiency of medical wastewater monitoring to users; in this embodiment, the setting of the second preset ammonia nitrogen concentration, the second preset mercury concentration and the second preset COD is not specifically limited, and technical personnel in this field can set them freely, as long as the setting requirements of the second preset ammonia nitrogen concentration, the second preset mercury concentration and the second preset COD are met, among which the optimal value of a3 is 0.5 mg / L, the optimal value of zs3 is 1 μg / L, and the optimal value of c3 is 3 mg / L.

[0111] Specifically, the water quality monitoring unit analyzes the abnormality of groundwater quality according to the analysis results of abnormality of groundwater ammonia nitrogen concentration, abnormality of mercury concentration and abnormality of COD within the management period, wherein:

[0112] When AN+AZ+AD≤E, the water quality monitoring unit determines that the groundwater quality in the current management period is normal;

[0113] When AN+AZ+AD>E, the water quality monitoring unit determines that the groundwater quality in the current management period is abnormal;

[0114] Among them, E is the second preset abnormal coefficient, 0<E<0.12, when the ammonia nitrogen concentration in the groundwater is normal within the management period, the value of AN is 0, when the mercury concentration in the groundwater is normal within the management period, the value of AZ is 0, when the COD in the groundwater is normal within the management period, the value of AD is 0.

[0115] Specifically, the water quality monitoring unit improves the accuracy of groundwater quality abnormality analysis by setting a second preset abnormality coefficient, thereby improving the accuracy of wastewater quality abnormality warning to users, and ultimately improving the efficiency of medical wastewater monitoring for users; in this embodiment, there is no specific limitation on the setting of the second preset abnormality coefficient, and technical personnel in this field can set it freely as long as the setting requirements of the second preset abnormality coefficient are met, where the optimal value of E is 0.08.

[0116] Specifically, the updating unit updates the process of abnormal wastewater quality warning for the next management period according to the results of abnormal wastewater quality warning within the management period and the analysis results of abnormal groundwater quality, wherein:

[0117] When the groundwater quality is normal within the management cycle, the updating unit does not update the process of abnormal wastewater quality warning for the next management cycle;

[0118] When the groundwater quality is abnormal within the management cycle, the update unit updates the process of abnormal wastewater quality warning for the next management cycle. If i 1 / i0≤r, the first preset abnormal coefficient updated by the update unit is set to u1', and is set as: u1'=u1×γ×exp[-(AN+AZ+AD-E)]; if i 1 / i0>r, the first preset abnormal coefficient updated by the update unit is set to u1", and is set as: u1"=u1×γ×ln(i 1 / i0-r+1)×exp[-(AN+AZ+AD-E)];

[0119] Among them, r is the preset abnormal proportion, 0<r<0.2, i1 is the number of monitoring cycles for abnormal water quality warnings to users within the management period, i0 is the number of monitoring cycles within the management period, and γ is the preset adjustment coefficient, 0.2<γ<0.3.

[0120] Specifically, the update unit makes various adjustments to the process of providing users with warnings of abnormal wastewater quality by setting preset abnormal proportions and preset adjustment coefficients, thereby improving the accuracy of providing users with warnings of abnormal wastewater quality, thereby improving the efficiency of medical wastewater monitoring for users; in this embodiment, no specific limitation is made to the setting of the preset abnormal proportions and the preset adjustment coefficients, and those skilled in the art may set them freely, as long as the setting requirements of the preset abnormal proportions and the preset adjustment coefficients are met, wherein the optimal value of r is 0.12, and the optimal value of γ is 0.23.

[0121] Specifically, the optimization unit compares the wastewater discharge volume q0 obtained during the management period with the second preset discharge volume q1, and optimizes the updating process of the wastewater quality abnormality warning process according to the comparison result, wherein:

[0122] When q0≤q1, the optimization unit determines that the wastewater discharge volume in the current management period is abnormal, and optimizes the updating process of the wastewater quality abnormal warning process, and sets the optimized preset adjustment coefficient to γ', setting γ'=γ×cos{si n[(q1-q0)×(π / 2) / q1]};

[0123] When q0>q1, the optimization unit determines that the wastewater discharge volume in the current management cycle is normal and does not perform optimization.

[0124] Specifically, the optimization unit reduces the impact of abnormal wastewater discharge on the process of warning users of abnormal wastewater quality by setting a second preset discharge volume, thereby improving the accuracy of warning users of abnormal wastewater quality, thereby improving the efficiency of medical wastewater monitoring for users; in this embodiment, there is no specific limitation on the setting of the second preset discharge volume, and technical personnel in this field can set it freely, as long as the setting requirements of the second preset discharge volume are met. Among them, when the management cycle is 20 days and the hospital is a small hospital, the optimal value of q1 is 100 cubic meters.

[0125] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A medical wastewater intelligent monitoring system based on big data, characterized in that: include, Information acquisition module, used to obtain wastewater information, groundwater information and groundwater use type; Wastewater monitoring module, used to analyze the abnormality of wastewater quality based on the ammonia nitrogen concentration, mercury concentration and COD in the wastewater obtained during the monitoring period, and adjust the analysis process of wastewater quality abnormality based on the obtained groundwater use type; The load analysis module is used to analyze the abnormality of the wastewater discharge load according to the wastewater discharge volume obtained during the monitoring period; The early warning module is used to warn users of abnormal wastewater quality based on the analysis results of abnormal wastewater quality and abnormal wastewater discharge load during the monitoring period; Groundwater monitoring module, used to analyze the abnormality of groundwater quality based on the ammonia nitrogen concentration, mercury concentration and COD in the groundwater obtained during the management period; The early warning update module is used to update the process of wastewater quality abnormality early warning for the next management cycle based on the results of wastewater quality abnormality early warning within the management cycle and the analysis results of groundwater quality abnormality, and to optimize the update process of wastewater quality abnormality early warning for the next management cycle based on the wastewater discharge volume obtained within the management cycle.

2. The intelligent monitoring system for medical wastewater based on big data according to claim 1 is characterized in that: The wastewater monitoring module is provided with a wastewater monitoring unit, an abnormality analysis unit and an adjustment unit. The wastewater monitoring unit is used to compare the ammonia nitrogen concentration a0 in the wastewater obtained during the monitoring period with the first preset ammonia nitrogen concentration a1, and analyze the ammonia nitrogen concentration abnormality index Nn according to the comparison result; The wastewater monitoring unit compares the mercury concentration zs0 in the wastewater obtained during the monitoring period with the first preset mercury concentration zs1, and analyzes the heavy metal anomaly index Zz according to the comparison result; The wastewater monitoring unit compares the COD in the wastewater obtained during the monitoring period with the first preset COD, and analyzes the COD abnormality index Dd according to the comparison result.

3. The intelligent monitoring system for medical wastewater based on big data according to claim 2 is characterized in that: The abnormality analysis unit is used to analyze the abnormality of wastewater quality according to the analysis results of the ammonia nitrogen abnormality index, the heavy metal abnormality index and the COD abnormality index during the monitoring period, wherein: When x1×Nn+x2×Zz+x3×Dd≤u1, the abnormality analysis unit determines that the wastewater quality in the current monitoring period is normal; When x1×Nn+x2×Zz+x3×Dd>u1, the abnormality analysis unit determines that the wastewater quality in the current monitoring period is abnormal; Among them, x1 is the preset ammonia nitrogen weight, x2 is the heavy metal weight, x3 is the preset COD weight, u1 is the first preset abnormal coefficient, Nn is the analysis result of the ammonia nitrogen abnormality index, Zz is the analysis result of the heavy metal abnormality index, and Dd is the analysis result of the COD abnormality index.

4. The intelligent monitoring system for medical wastewater based on big data according to claim 3 is characterized in that: The adjustment unit is used to adjust the analysis process of wastewater quality abnormality according to the acquired groundwater use type, wherein: When the groundwater use type is industrial water, the adjustment unit does not adjust the analysis process of wastewater quality abnormality; When the groundwater use type is irrigation water, the adjustment unit adjusts the analysis process of wastewater quality abnormality, sets the adjusted preset ammonia nitrogen concentration to a1', and sets a1'=a1×(1+α), where α is the preset adjustment ratio.

5. The intelligent monitoring system for medical wastewater based on big data according to claim 4 is characterized in that: The load analysis module compares the wastewater discharge volume p0 obtained during the monitoring period with the first preset discharge volume p1, and analyzes the abnormality of the wastewater discharge load according to the comparison result, wherein: When p0≤p1, the load analysis module determines that the wastewater discharge load in the current monitoring period is normal; When p0>p1, the load analysis module determines that the wastewater discharge load in the current monitoring period is abnormal.

6. The intelligent monitoring system for medical wastewater based on big data according to claim 5 is characterized in that: The early warning module provides users with an abnormal wastewater quality warning based on the analysis results of the abnormal wastewater quality and the abnormal wastewater discharge load during the monitoring period, wherein: When the wastewater quality is abnormal during the monitoring period, the early warning module warns the user of the abnormal wastewater quality; When the wastewater quality is normal during the monitoring period, if the wastewater discharge load is normal during the monitoring period, the early warning module does not issue an abnormal wastewater quality warning to the user; if the wastewater discharge load is abnormal during the monitoring period and (u1-x1×Nn-x2×Zz-x3×Dd) / u1≤β, the early warning module issues an abnormal wastewater quality warning to the user; if the wastewater discharge load is abnormal during the monitoring period and (x1×Nn+x2×Zz+x3×Dd-u1) / u1>β, the early warning module does not issue an abnormal wastewater quality warning to the user, wherein β is a preset proportional coefficient.

7. The intelligent monitoring system for medical wastewater based on big data according to claim 6 is characterized in that: The groundwater monitoring module is provided with a groundwater monitoring unit and a water quality analysis unit. The groundwater monitoring unit is used to compare the ammonia nitrogen concentration a2 in the groundwater obtained during the management period with the second preset ammonia nitrogen concentration a3, and analyze the abnormality of the ammonia nitrogen concentration in the groundwater according to the comparison result, wherein: When a2≤a3, the groundwater monitoring unit determines that the ammonia nitrogen concentration in the groundwater during the current management period is normal; When a2>a3, the groundwater monitoring unit determines that the ammonia nitrogen concentration in the groundwater in the current management period is abnormal, and sets the groundwater ammonia nitrogen abnormality coefficient to AN, setting AN=exp{lg[(a2-a3) / (a3+a2)]}; The groundwater monitoring unit compares the mercury concentration zs2 in the groundwater obtained during the management period with the second preset mercury concentration zs3, and analyzes the abnormality of the heavy metal concentration in the groundwater according to the comparison result, wherein: When zs2≤zs3, the groundwater monitoring unit determines that the heavy metal concentration in the groundwater during the current management period is normal; When zs2>zs3, the groundwater monitoring unit determines that the heavy metal concentration in the groundwater in the current management period is abnormal, and sets the groundwater heavy metal anomaly coefficient to AZ, setting AZ=sin{arctan[(zs2-zs3)×(π / 4) / (zs2+zs3)]}; The groundwater monitoring unit compares the COD in the groundwater obtained during the management period with the second preset COD, and analyzes the abnormality of the COD in the groundwater according to the comparison result, wherein: When c2≤c3, the groundwater monitoring unit determines that the COD in the groundwater is normal during the current management period; When c2>c3, the groundwater monitoring unit determines that the COD in the groundwater in the current management period is abnormal, and sets the groundwater COD abnormality coefficient to AD, setting AD=(c2-c3) / (c2+c3).

8. The intelligent monitoring system for medical wastewater based on big data according to claim 7 is characterized in that: The water quality monitoring unit is used to analyze the abnormality of groundwater quality according to the analysis results of the abnormality of groundwater ammonia nitrogen concentration, mercury concentration and COD in the management period, wherein: When AN+AZ+AD≤E, the water quality monitoring unit determines that the groundwater quality in the current management period is normal; When AN+AZ+AD>E, the water quality monitoring unit determines that the groundwater quality in the current management period is abnormal; Among them, E is the second preset abnormal coefficient. When the ammonia nitrogen concentration in the groundwater is normal within the management period, the value of AN is 0. When the mercury concentration in the groundwater is normal within the management period, the value of AZ is 0. When the COD in the groundwater is normal within the management period, the value of AD is 0.

9. The intelligent monitoring system for medical wastewater based on big data according to claim 8 is characterized in that: The warning update module is provided with an updating unit and an optimizing unit, and the updating unit is used to update the process of the abnormal warning of wastewater quality in the next management period according to the results of the abnormal warning of wastewater quality in the management period and the analysis results of the abnormality of groundwater quality, wherein: When the groundwater quality is normal within the management cycle, the updating unit does not update the process of abnormal wastewater quality warning for the next management cycle; When the groundwater quality is abnormal within the management period, the update unit updates the process of abnormal wastewater quality warning for the next management period. If i 1 / i0≤r, the first preset abnormal coefficient after the update of the update unit is set to u1'; if i 1 / i0>r, the first preset abnormal coefficient after the update of the update unit is set to u1", setting: u1"=u1×γ×ln(i 1 / i0-r+1)×exp[-(AN+AZ+AD-E)]; Among them, r is the preset abnormal proportion, i1 is the number of monitoring cycles for abnormal water quality warnings to users within the management period, i0 is the number of monitoring cycles within the management period, and γ is the preset adjustment coefficient.

10. The intelligent monitoring system for medical wastewater based on big data according to claim 9 is characterized in that: The optimization unit is used to compare the wastewater discharge volume q0 obtained during the management period with the second preset discharge volume q1, and optimize the updating process of the wastewater quality abnormal warning process according to the comparison result, wherein: When q0≤q1, the optimization unit determines that the wastewater discharge volume in the current management period is abnormal, and optimizes the updating process of the wastewater quality abnormal warning process, and sets the optimized preset adjustment coefficient to γ', setting γ'=γ×cos{sin[(q1-q0)×(π / 2) / q1]}; When q0>q1, the optimization unit determines that the wastewater discharge volume in the current management cycle is normal and does not perform optimization.

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