CN112939246A - Hospital sewage online treatment platform based on Internet of things - Google Patents
Hospital sewage online treatment platform based on Internet of things Download PDFInfo
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- C02F9/00—Multistage treatment of water, waste water or sewage
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- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/10—Solids, e.g. total solids [TS], total suspended solids [TSS] or volatile solids [VS]
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- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
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Abstract
The invention belongs to the field of medical sewage, relates to a sewage treatment technology, and particularly relates to an Internet of things-based hospital sewage online treatment platform which is used for solving the problem that the existing hospital sewage treatment platform does not have the function of analyzing an optimal environment interval for sewage treatment. The invention can carry out detection and analysis on the sewage treatment environment of the sewage treatment platform, and after the environment coefficients are obtained by calculation, the environment coefficient interval with the best sewage detection effect can be obtained by carrying out sewage detection on each environment coefficient interval, thereby being beneficial to improving the sewage treatment effect.
Description
Technical Field
The invention belongs to the field of medical sewage, relates to a sewage treatment technology, and particularly relates to an Internet of things-based hospital sewage online treatment platform.
Background
The hospital sewage refers to sewage discharged from hospitals (comprehensive hospitals, professional hospitals and other types of hospitals) to natural environments or urban pipelines. The water quality varies with the nature and scale of the hospital and the area in which it is located. The daily discharge amount of the sewage of each sickbed is about 200-1000L, and the main pollutants contained in the sewage of the hospital are as follows: pathogens (parasitic eggs, pathogenic bacteria, viruses, etc.), organic matter, floating and suspended matter, radioactive contaminants, etc.
The hospital sewage contains a large amount of organic matters, and the sewage can be discharged only after the organic matters in the sewage are treated, so that the organic matter content in the sewage is detected by the conventional hospital sewage treatment platform, and the sewage can be discharged only after the organic matter content reaches the standard; however, the existing hospital sewage treatment platform does not have the function of analyzing the optimal environment interval for sewage treatment, and sewage is affected by some external factors in the treatment process, such as the temperature of the sewage itself and the content of solid impurities in the sewage, which all affect the efficiency and the effect of sewage treatment, so that sewage treatment is directly performed under the condition of not analyzing the optimal environment coefficient interval, and the treatment efficiency and the treatment effect are not high.
The invention patent with publication number CN103319056B discloses a hospital sewage treatment system, wherein dechlorination agent is prepared by a dosing box and is sent into a dechlorination agent box through a pipeline, the dechlorination agent box provides dechlorination agent to a dechlorination tank, the addition amount and the addition interval time of the dechlorination agent can be controlled by controlling the dechlorination agent box, the automatic management is convenient, the manual labor intensity is reduced, and the on-off of a pipeline is controlled by a ball valve and an electromagnetic valve. Still be provided with the flocculating agent medical kit, this flocculating agent medical kit with ration pond passes through the pipeline intercommunication, is provided with the solenoid valve on the pipeline that flocculating agent medical kit and ration pond are connected. The flocculant is added into the quantitative pool through the flocculant medicine chest, so that the management and the automatic control are facilitated, and the on-off of the pipeline can be controlled through the electromagnetic valve. Collecting devices can be arranged at a dental sewage discharge port, a phase washing chamber sewage discharge port and a laboratory sewage discharge port as required to pretreat the waste water, so that heavy metal ions in the waste water are discharged after reaching standards, and treated water enters a septic tank; a decay tank is added at a sewage discharge port of a radiology department, so that effluent enters a septic tank after radioactive indexes in the wastewater reach the standard, a pre-disinfection device is added at a water outlet of an infectious disease department, and disinfected infectious disease wastewater enters the septic tank; however, when the hospital sewage treatment system is used for treating sewage, the relationship between the sewage treatment efficiency and effect and the environmental factors cannot be detected, so that the environmental coefficient interval with the best sewage treatment efficiency and effect cannot be analyzed.
Disclosure of Invention
The invention aims to provide an Internet of things-based hospital sewage online treatment platform, which is used for solving the problems that the existing hospital sewage treatment platform does not have the function of analyzing an optimal environment interval for sewage treatment, sewage is influenced by some external factors in the treatment process, such as the temperature of the sewage and the content of solid impurities in the sewage, and the like can influence the efficiency and the effect of sewage treatment, so that the sewage treatment is directly carried out under the condition of not analyzing the optimal environment coefficient interval, and the treatment efficiency and the treatment effect are not high;
the technical problems to be solved by the invention are as follows: how to provide a sewage treatment platform capable of analyzing an optimal environment coefficient interval.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a hospital sewage on-line processing platform based on thing networking, includes the treater, treater communication connection has sewage detection module, environmental analysis module, efficiency detection module, maintenance recommendation module and database, sewage detection module is used for carrying out the analysis of detection to the organic matter content in the sewage after sewage treatment platform handles, discharges the sewage that reaches emission standard, carries out circulation treatment to the sewage that does not reach emission standard, sewage detection module's working process specifically includes following step:
step S1: discharging the sewage treated by the sewage treatment platform to a detection area, performing sampling detection on the sewage in the detection area by a detection person to obtain the sulfur element content, the chlorine element content and the phosphorus element content in the detected sewage, and respectively marking the obtained sulfur element content, chlorine element content and phosphorus element content as SH, CH and PH;
step S2: obtaining an organic coefficient YJ in the sewage by a formula YJ ═ alpha 1 × SH + alpha 2 × CH + alpha 3 × PH, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1> alpha 2> alpha 3> 1;
step S3: obtaining an organic coefficient threshold value YJmax through a database, and comparing the organic coefficient YJ in the sewage with the organic coefficient threshold value YJmax:
if YJ is less than or equal to YJmax, the content of organic matters in the sewage is judged to meet the discharge standard, and the sewage detection module sends a drainage signal to the processor;
and if YJ is greater than YJmax, judging that the content of the organic matters in the sewage does not meet the discharge standard, and sending a circulation detection signal to the processor by the sewage monitoring module.
Further, the environment analysis module is used for detecting and analyzing the environment of the sewage treatment platform, and the specific detection and analysis process comprises the following steps:
step P1: acquiring a temperature value of the treated sewage, a concentration value of solid particles of the treated sewage and a temperature value of backflushing air, and respectively marking the temperature value of the treated sewage, the concentration value of the solid particles of the treated sewage and the temperature value of the backflushing air as SW, SG and KW;
step P2: by the formula
Obtaining the environmental coefficient HJ of the sewage treatment platform, wherein beta 1, beta 2 and beta 3 are all proportional coefficients, and beta 1>β2>β3>0；
Step P3: acquiring the maximum value and the minimum value of the environmental coefficient of the sewage treatment platform, respectively marking the maximum value and the minimum value as HJmax and HJmin, dividing an environmental coefficient interval formed by the maximum value HJmax and the minimum value HJmin of the environmental coefficient into analysis intervals HJi, wherein i is 1, 2, … … and n, respectively carrying out organic matter detection on the analysis intervals HJi, and marking the obtained organic coefficient as YJi;
step P4: and acquiring a maximum environment coefficient and a minimum environment coefficient corresponding to the environment coefficient interval with the minimum organic coefficient, marking as HJd1 and HJx1, and sending HJd1 and HJx1 to the database for storage.
Further, the efficiency detection module is used for detecting and analyzing the sewage treatment efficiency of the sewage treatment platform, and the specific detection and analysis process comprises the following steps:
step W1: respectively carrying out efficiency detection on the sewage in the analysis interval HJi, obtaining the volume of the sewage discharged from the detection area within L1 minutes, marking the volume as PLi, setting L1 as a set time value, and carrying out efficiency detection on the sewage by a formula
Obtaining an efficiency value Xli of sewage treatment in an analysis interval HJi;
step W2: obtaining an efficiency threshold value XLMin through a database, and comparing the efficiency value XLI with the efficiency threshold value one by one:
if XLI < XLMin, judging that the efficiency value of the sewage treatment platform in the corresponding environment coefficient interval during working does not meet the use requirement, sending a maintenance signal to the processor by the efficiency detection module, and sending the maintenance signal to the maintenance recommendation module after receiving the maintenance signal by the processor;
if XLI is more than or equal to XLMin, judging that the efficiency value of the sewage treatment platform in the corresponding environment coefficient interval meets the use requirement, and sending an efficiency qualified signal to the processor by the efficiency detection module;
step W3: marking the maximum environmental coefficient and the minimum environmental coefficient of an environmental coefficient interval corresponding to XLI with the maximum efficiency value of sewage treatment as HJd2 and HJx2 respectively, and sending HJd2 and HJx2 to a database for storage;
step W4: comparing the environment coefficient interval with the minimum organic coefficient with the environment coefficient interval with the maximum efficiency value:
if HJd1 is less than HJx2, determining HJd1-HJx2 as the optimal environment interval of the sewage treatment platform;
if HJd2 is less than HJx1, determining HJd2-HJx1 as the optimal environment interval of the sewage treatment platform;
if HJx1< HJx2< HJd1< HJd2, HJx2-HJd1 is determined as the optimal environment interval of the sewage treatment platform;
if HJx2< HJx1< HJd2< HJd1, HJx1-HJd2 is determined as the optimal environment interval of the sewage treatment platform;
if HJx1< HJx2< HJd2< HJd1, HJx2-HJd2 is determined as the optimal environment interval of the sewage treatment platform;
if HJx2< HJx1< HJd1< HJd2, HJx1-HJd1 is determined as the optimal environment interval of the sewage treatment platform;
and the efficiency detection module sends the maximum value and the minimum value of the optimal environment interval of the sewage platform to a database for storage.
Further, the maintenance recommending module is used for recommending maintenance workers when the sewage treatment platform breaks down and needs to be maintained, and the specific working process of the maintenance recommending module comprises the following steps:
step Q1: acquiring the geographical position of the sewage treatment platform and marking the geographical position as a maintenance position, drawing a circle by taking the maintenance position as the center of the circle, taking r as the radius, and marking the obtained circular area as a screening area by taking r as a set radius value;
step Q2: acquiring basic information of all maintenance workers in the screening area, wherein the basic information of the maintenance workers comprises names, ages, working years, maintenance times of the maintenance workers and mobile phone numbers of real-name authentication, marking the working years of the maintenance workers as NX, and marking the maintenance times of the maintenance workers as CS;
step Q3: the linear distance between the point where the serviceman is located and the maintenance position is taken and marked JL,by the formula
Obtaining the recommended coefficient TJ of the maintainer, wherein gamma 1, gamma 2 and gamma 3 are proportionality coefficients, and gamma 1>γ2>γ3>0；
Step Q4: and marking the maintainer with the maximum recommendation coefficient as a recommended maintainer, sending the basic information of the recommended maintainer to the processor, and sending the basic information of the recommended maintainer to the mobile phone terminal of the manager by the processor.
The invention has the following beneficial effects:
1. the sewage treatment system has the advantages that the sewage detection module can detect the content of organic matters in the sewage, the sewage treatment effect is monitored through the detection result of the content of the organic matters, and sewage which does not reach the standard of the organic matters is circularly treated, so that the discharged sewage can reach the discharge standard, the effectiveness of sewage treatment is improved, and the pollution to the environment caused by the direct discharge of the sewage which does not reach the standard is avoided;
2. the environment analysis module can be used for detecting and analyzing the sewage treatment environment of the sewage treatment platform, monitoring and analyzing the temperature of sewage, the concentration of solid particles and the temperature of backflushing air, and after the environment coefficients are obtained through calculation, the environment coefficient intervals with the best sewage detection effect can be obtained through sewage detection on each environment coefficient interval, so that the relation between the external environment and the sewage treatment effect is obtained, and the sewage treatment effect is favorably improved;
3. the efficiency detection module can be used for analyzing the sewage treatment efficiency of the sewage treatment platform, the sewage treatment efficiency of the sewage treatment platform can be obtained by calculating the volume of sewage discharged by the detection area per minute, meanwhile, the environment coefficient interval is brought into the efficiency analysis, the environment coefficient interval with the highest efficiency can be obtained, and the optimal environment coefficient interval of the sewage treatment platform can be obtained by comparing the environment coefficient intervals with the best sewage treatment effect;
4. can carry out maintainer's recommendation for sewage treatment platform's efficiency when unsatisfied operation requirement through maintenance recommendation module, select the maintainer according to maintainer's position, operating life and maintenance number of times, will recommend the maintenance work that the coefficient is the biggest for recommending the maintainer to make sewage treatment platform can obtain quick maintenance.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in figure 1, an online hospital sewage treatment platform based on the Internet of things comprises a processor, wherein the processor is in communication connection with a sewage detection module, an environment analysis module, an efficiency detection module, a maintenance recommendation module and a database, the sewage detection module is used for detecting and analyzing the content of organic matters in sewage treated by the sewage treatment platform, discharging sewage reaching a discharge standard, and performing circulating treatment on sewage not reaching the discharge standard, and the working process of the sewage detection module specifically comprises the following steps:
step S1: discharging the sewage treated by the sewage treatment platform to a detection area, performing sampling detection on the sewage in the detection area by a detection person to obtain the sulfur element content, the chlorine element content and the phosphorus element content in the detected sewage, and respectively marking the obtained sulfur element content, chlorine element content and phosphorus element content as SH, CH and PH;
step S2: obtaining an organic coefficient YJ in the sewage by a formula YJ ═ alpha 1 × SH + alpha 2 × CH + alpha 3 × PH, wherein alpha 1, alpha 2 and alpha 3 are proportional coefficients, alpha 1> alpha 2> alpha 3>1, the organic coefficient YJ represents the content of organic matters in the sewage, the higher the organic coefficient is, the more the content of the organic matters in the sewage is, the more the organic coefficient is compared with an organic coefficient threshold value, so that whether the treated sewage meets the discharge standard or not can be judged, the sewage meeting the discharge standard is discharged, the sewage not meeting the discharge standard is subjected to circular treatment, and the pollution to the environment caused by the direct discharge of the sewage is avoided;
step S3: obtaining an organic coefficient threshold value YJmax through a database, and comparing the organic coefficient YJ in the sewage with the organic coefficient threshold value YJmax:
if YJ is less than or equal to YJmax, the content of organic matters in the sewage is judged to meet the discharge standard, and the sewage detection module sends a drainage signal to the processor;
and if YJ is greater than YJmax, judging that the content of the organic matters in the sewage does not meet the discharge standard, and sending a circulation detection signal to the processor by the sewage monitoring module.
The environment analysis module is used for detecting and analyzing the environment of the sewage treatment platform, and the specific detection and analysis process comprises the following steps:
step P1: acquiring a temperature value of the treated sewage, a concentration value of solid particles of the treated sewage and a temperature value of backflushing air, and respectively marking the temperature value of the treated sewage, the concentration value of the solid particles of the treated sewage and the temperature value of the backflushing air as SW, SG and KW;
step P2: by the formula
Obtaining the environmental coefficient HJ of the sewage treatment platform, wherein beta 1, beta 2 and beta 3 are all proportional coefficients, and beta 1>β2>β3>0, performing sewage detection on each environment coefficient interval to obtain an environment coefficient interval with the best sewage detection effect, thereby obtaining the relation between the external environment and the sewage treatment effect and being beneficial to improving the sewage treatment effect;
step P3: acquiring the maximum value and the minimum value of the environmental coefficient of the sewage treatment platform, respectively marking the maximum value and the minimum value as HJmax and HJmin, dividing an environmental coefficient interval formed by the maximum value HJmax and the minimum value HJmin of the environmental coefficient into analysis intervals HJi, wherein i is 1, 2, … … and n, respectively carrying out organic matter detection on the analysis intervals HJi, and marking the obtained organic coefficient as YJi;
step P4: acquiring a maximum environment coefficient and a minimum environment coefficient corresponding to an environment coefficient interval with the minimum organic coefficient, marking the maximum environment coefficient and the minimum environment coefficient as HJd1 and HJx1, and sending HJd1 and HJx1 to a database for storage;
the efficiency detection module is used for detecting and analyzing the sewage treatment efficiency of the sewage treatment platform, and the specific detection and analysis process comprises the following steps:
step W1: respectively carrying out efficiency detection on the sewage in the analysis interval HJi, obtaining the volume of the sewage discharged from the detection area within L1 minutes, marking the volume as PLi, setting L1 as a set time value, and carrying out efficiency detection on the sewage by a formula
Obtaining an efficiency value Xli of sewage treatment in an analysis interval HJi, calculating the sewage treatment efficiency of the sewage treatment platform by calculating the volume of sewage discharged by a detection area per minute, bringing an environment coefficient interval into efficiency analysis to obtain an environment coefficient interval with the highest efficiency, and comparing the environment coefficient interval with the best sewage treatment effect to obtain the optimal environment coefficient interval of the sewage treatment platform;
step W2: obtaining an efficiency threshold value XLMin through a database, and comparing the efficiency value XLI with the efficiency threshold value one by one:
if XLI < XLMin, judging that the efficiency value of the sewage treatment platform in the corresponding environment coefficient interval during working does not meet the use requirement, sending a maintenance signal to the processor by the efficiency detection module, and sending the maintenance signal to the maintenance recommendation module after receiving the maintenance signal by the processor;
if XLI is more than or equal to XLMin, judging that the efficiency value of the sewage treatment platform in the corresponding environment coefficient interval meets the use requirement, and sending an efficiency qualified signal to the processor by the efficiency detection module;
step W3: marking the maximum environmental coefficient and the minimum environmental coefficient of an environmental coefficient interval corresponding to XLI with the maximum efficiency value of sewage treatment as HJd2 and HJx2 respectively, and sending HJd2 and HJx2 to a database for storage;
step W4: comparing the environment coefficient interval with the minimum organic coefficient with the environment coefficient interval with the maximum efficiency value:
if HJd1 is less than HJx2, determining HJd1-HJx2 as the optimal environment interval of the sewage treatment platform;
if HJd2 is less than HJx1, determining HJd2-HJx1 as the optimal environment interval of the sewage treatment platform;
if HJx1< HJx2< HJd1< HJd2, HJx2-HJd1 is determined as the optimal environment interval of the sewage treatment platform;
if HJx2< HJx1< HJd2< HJd1, HJx1-HJd2 is determined as the optimal environment interval of the sewage treatment platform;
if HJx1< HJx2< HJd2< HJd1, HJx2-HJd2 is determined as the optimal environment interval of the sewage treatment platform;
if HJx2< HJx1< HJd1< HJd2, HJx1-HJd1 is determined as the optimal environment interval of the sewage treatment platform;
the efficiency detection module sends the maximum value and the minimum value of the optimal environment interval of the sewage platform to a database for storage;
the maintenance recommending module is used for recommending maintenance workers when the sewage treatment platform breaks down and needs to be maintained, and the specific working process of the maintenance recommending module comprises the following steps:
step Q1: acquiring the geographical position of the sewage treatment platform and marking the geographical position as a maintenance position, drawing a circle by taking the maintenance position as the center of the circle, taking r as the radius, and marking the obtained circular area as a screening area by taking r as a set radius value;
step Q2: acquiring basic information of all maintenance workers in the screening area, wherein the basic information of the maintenance workers comprises names, ages, working years, maintenance times of the maintenance workers and mobile phone numbers of real-name authentication, marking the working years of the maintenance workers as NX, and marking the maintenance times of the maintenance workers as CS;
step Q3: obtaining the linear distance between the location point of the maintainer and the maintenance position, marking the linear distance as JL, and obtaining the linear distance between the location point of the maintainer and the maintenance position according to a formula
Obtaining the recommended coefficient TJ of the maintainer, wherein gamma 1, gamma 2 and gamma 3 are proportionality coefficients, and gamma 1>γ2>γ3>0；
Step Q4: and marking the maintainer with the maximum recommendation coefficient as a recommended maintainer, sending the basic information of the recommended maintainer to the processor, sending the basic information of the recommended maintainer to the mobile phone terminal of the manager by the processor, selecting the maintainer according to the position, the working age and the maintenance frequency of the maintainer, and taking the maintainer with the maximum recommendation coefficient as the recommended maintainer, so that the sewage treatment platform can be maintained quickly.
A hospital sewage online treatment platform based on the Internet of things is characterized in that a sewage detection module detects the content of organic matters in sewage, a detector performs sampling detection on the sewage in a detection area to obtain the content of sulfur, chlorine and phosphorus in the detected sewage, calculates to obtain an organic coefficient in the sewage, monitors the sewage treatment effect through the organic coefficient, and performs cyclic treatment on sewage with the organic matters not reaching the standard, so that the discharged sewage can reach the discharge standard, the effectiveness of sewage treatment is improved, and the pollution to the environment caused by the direct discharge of the sewage with the organic matters not reaching the standard is avoided; the environment analysis module can detect and analyze the sewage treatment environment of the sewage treatment platform, monitor and analyze the temperature of sewage, the concentration of solid particles and the temperature of backflushing air, and after the environment coefficients are obtained through calculation, the environment coefficient intervals with the best sewage detection effect can be obtained through sewage detection on each environment coefficient interval, so that the relation between the external environment and the sewage treatment effect is obtained, and the sewage treatment effect is favorably improved; the efficiency detection module analyzes the sewage treatment efficiency of the sewage treatment platform, the sewage treatment efficiency of the sewage treatment platform can be calculated by calculating the volume of sewage discharged by the detection area per minute, meanwhile, the environment coefficient interval is brought into the efficiency analysis, the environment coefficient interval with the highest efficiency can be obtained, and the optimal environment coefficient interval of the sewage treatment platform can be obtained by comparing the environment coefficient intervals with the best sewage treatment effect; and the maintenance recommending module recommends a maintainer for the sewage treatment platform when the efficiency of the sewage treatment platform does not meet the use requirement, selects the maintainer according to the position, the working life and the maintenance frequency of the maintainer, and takes the maintenance with the maximum recommending coefficient as the recommended maintainer, so that the sewage treatment platform can be maintained quickly.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The above formulas are all numerical values obtained by normalization processing, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. An Internet of things-based hospital sewage online treatment platform is characterized by comprising a processor, wherein the processor is in communication connection with a sewage detection module, an environment analysis module, an efficiency detection module, a maintenance recommendation module and a database;
the environment analysis module is used for detecting and analyzing the environment of the sewage treatment platform to obtain an environment coefficient HJ of the sewage treatment platform;
acquiring the maximum value and the minimum value of the environmental coefficient of the sewage treatment platform, respectively marking the maximum value and the minimum value as HJmax and HJmin, dividing an environmental coefficient interval formed by the maximum value HJmax and the minimum value HJmin of the environmental coefficient into analysis intervals HJi, wherein i is 1, 2, … … and n, and respectively carrying out organic matter detection on the analysis intervals HJi through a sewage monitoring module to obtain organic coefficients YJi;
acquiring a maximum environment coefficient and a minimum environment coefficient corresponding to the environment coefficient interval with the minimum organic coefficient, and marking the maximum environment coefficient and the minimum environment coefficient as HJd1 and HJx 1;
respectively carrying out efficiency detection on the sewage in the analysis interval HJi through an efficiency detection module to obtain an efficiency value Xli for sewage treatment in an analysis interval HJi, and respectively marking the maximum environmental coefficient and the minimum environmental coefficient of an environmental coefficient interval corresponding to the Xli with the maximum efficiency value for sewage treatment as HJd2 and HJx 2;
and comparing the environment coefficient interval with the minimum organic coefficient with the environment coefficient interval with the maximum efficiency value to obtain an optimal environment coefficient interval, and sending the maximum value and the minimum value of the optimal environment coefficient interval to a database for storage.
2. The hospital sewage online treatment platform based on the internet of things according to claim 1, wherein the acquisition process of the environmental coefficient HJ of the sewage treatment platform comprises the following steps:
step P1: acquiring a temperature value of the treated sewage, a concentration value of solid particles of the treated sewage and a temperature value of backflushing air, and respectively marking the temperature value of the treated sewage, the concentration value of the solid particles of the treated sewage and the temperature value of the backflushing air as SW, SG and KW;
step P2: by the formula
Obtaining the environmental coefficient HJ of the sewage treatment platform, wherein beta 1, beta 2 and beta 3 are all proportional coefficients, and beta 1>β2>β3>0。
3. The Internet of things-based hospital sewage online treatment platform according to claim 1, wherein the working process of the sewage detection module specifically comprises the following steps:
step S1: discharging the sewage treated by the sewage treatment platform to a detection area, performing sampling detection on the sewage in the detection area by a detection person to obtain the sulfur element content, the chlorine element content and the phosphorus element content in the detected sewage, and respectively marking the obtained sulfur element content, chlorine element content and phosphorus element content as SH, CH and PH;
step S2: obtaining an organic coefficient YJ in the sewage by a formula YJ ═ alpha 1 × SH + alpha 2 × CH + alpha 3 × PH, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1> alpha 2> alpha 3> 1;
step S3: and obtaining an organic coefficient threshold value YJmax through a database, and comparing the organic coefficient YJ in the sewage with the organic coefficient threshold value YJmax to judge whether the content of the organic matters in the sewage meets the emission standard.
4. The Internet of things-based hospital sewage online treatment platform according to claim 3, wherein the comparison process of the organic coefficient and the organic coefficient threshold in step S3 is as follows:
if YJ is less than or equal to YJmax, the content of organic matters in the sewage is judged to meet the discharge standard, and the sewage detection module sends a drainage signal to the processor;
and if YJ is greater than YJmax, judging that the content of the organic matters in the sewage does not meet the discharge standard, and sending a circulation detection signal to the processor by the sewage monitoring module.
5. The Internet of things-based hospital sewage online treatment platform according to claim 1, wherein the maintenance recommendation module is used for making a repairman recommendation when the sewage treatment platform fails and needs to be maintained.
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| CN115326017A (en) * | 2022-08-09 | 2022-11-11 | 华夏中然生态科技集团有限公司 | Construction device for hospital assembled sewage station |
| CN115536088A (en) * | 2022-09-28 | 2022-12-30 | 南京晓庄学院 | Sewage biochemical treatment process optimization management and control system based on data analysis |
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