CN115676935B - River channel purification treatment method based on nano water treatment technology - Google Patents
River channel purification treatment method based on nano water treatment technology Download PDFInfo
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Abstract
The invention provides a river purification treatment method based on a nano water treatment technology, which comprises the following steps: the river channel information processing module acquires water flow information, discharge inflow information and biological survival information in a river channel; the information analysis module receives and analyzes water flow information, discharge inflow information and fish and shrimp survival information in the river channel to obtain river channel processing data; the processing and judging module receives and analyzes the obtained river channel processing data and judges a biological survival threshold and a sewage discharge threshold based on the obtained river channel processing data; the method comprises the steps of analyzing water flow information inside the river channel, river channel discharge information and biological survival information, obtaining river channel processing data after comprehensive analysis, performing river channel discharge alarm according to the river channel processing data, and adjusting the river channel cleaning speed.
Description
Technical Field
The invention relates to the technical field of river channel purification treatment, in particular to a river channel purification treatment method based on a nano water treatment technology.
Background
Overview of nano water treatment technology: 1nm =10-9m, and the nano material generally means particles having a particle diameter of 1 to 100 nm. The nanometer material has the special effect that the nanometer material has abnormal characteristics in the aspects of adsorption capacity, chemical reaction capacity, photocatalysis capacity and the like due to small-size effect (volume effect, quantum size effect, macroscopic quantum tunneling effect and surface effect) and the characteristics can promote the surface chemical process, so the nanometer material has specific advantages in catalysis and water treatment, and the existing nanometer water treatment technology mainly comprises the following three types of 1, nanometer catalysis technology, 2, nanometer filter membrane technology and 3, nanometer adsorption material, and the nanometer water treatment technology is required to be utilized for treatment in the river purification process.
In the prior art, during the river purification process, water quality treatment is directly carried out through a nano water treatment technology, the influence on the internal organisms of the river can be caused during the treatment process, meanwhile, detection and judgment can not be carried out on sewage discharge enterprises based on river water during the water treatment process, and water pollution can be caused again after the water treatment is finished, so that the problem existing in the prior art is solved by lacking a river purification treatment method based on the nano water treatment technology.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a river channel purification treatment method based on a nano water treatment technology.
In order to realize the purpose, the invention is realized by the following technical scheme: the treatment method comprises the following specific steps:
step S1: the method comprises the steps that water flow information, discharge inflow information and biological survival information inside a river channel are obtained, and an information analysis module receives the water flow information, the discharge inflow information and the fish and shrimp survival information inside the river channel and analyzes the information to obtain river channel processing data;
step S2: the processing and judging module receives and analyzes the river channel processing data, and judges a biological survival threshold and a sewage discharge threshold based on the acquired river channel processing data;
and step S3: the judgment result is transmitted to a dosage adjusting module or a discharge alarm module, and the dosage adjusting module receives the biological survival threshold value and adjusts the river channel processing speed when the river channel processing is carried out;
and step S4: the discharge alarm module receives the sewage discharge threshold value to send out an alarm, and the server receives alarm information to arrange relevant sewage discharge enterprises.
Further, in the step S1, the river inner water flow information includes river depth information, river area information, river water quality information, and river detection information;
the discharge inflow information comprises discharge port number information, discharge enterprise information, inflow detection information and discharge total amount information;
the biological survival information comprises river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information;
the river channel depth information, the river channel area information, the river channel water quality information, the river channel detection information, the discharge port quantity information, the discharge enterprise information, the inflow detection information, the discharge total quantity information, the river channel fish and shrimp information, the fish and shrimp environment applicable information and the water body oxygen information are conveyed to an information analysis module for analysis.
Further, the information analysis module specifically performs the following analysis on the water flow information in the river channel:
the information analysis module receives and analyzes river channel depth information, river channel area information, river channel water quality information and river channel detection information in the river channel internal water flow information;
acquire the river course volume value based on river course depth information and river course area information, when acquireing, specifically as follows:
acquiring a plurality of river channel depth values based on the river channel depth information, acquiring graph information formed corresponding to the same river channel depth value to form a plurality of graph structures, solving according to the area values of the formed graph structures, solving the volume values of the graph structures by combining the solved area values with the corresponding river channel depth values, and adding the volume values to obtain the river channel volume value;
carrying out sampling detection on river water according to the river water quality information and the river detection information;
dividing the river channel into a plurality of sampling areas according to the water quality information of the river channel, wherein each sampling area comprises a group of discharge inlets; and volume numerical value to every sampling region acquires, samples the water of a plurality of positions, acquires a plurality of sampling samples, detects sampling sample, acquires the numerical value that a plurality of sampling samples detected through river course detection information, obtains a plurality of detection numerical values, observes the numerical value size of a plurality of detection numerical values, if a plurality of detection numerical values are the same, then carries out overall processing when carrying out river water treatment, if a plurality of detection numerical values are different, then carries out subregion and handles when carrying out river water treatment.
Further, the information analysis module specifically analyzes the emission inflow information as follows:
the information analysis module analyzes the information of the number of the discharge ports, the information of discharge enterprises, the information of inflow detection and the information of total discharge amount in the discharge inflow information;
counting the number of the discharge ports according to the number information of the discharge ports, setting the number of the discharge ports as p, and acquiring the discharge enterprise information, inflow detection information and discharge total amount information from one discharge port to the p-th discharge port;
acquiring the name of a discharge enterprise according to the information of the discharge enterprise, detecting the water quality discharge of each discharge port according to inflow detection information to obtain a water quality detection value, acquiring a standard value of the water quality detection of sewage discharge through a server, and calculating the difference between the standard value of the water quality detection and a water quality detection parameter to obtain a detection difference value, wherein if the detection difference value is more than or equal to 0, the water treatment is judged to be qualified, if the detection difference value is less than 0, the water treatment is judged to be unqualified, and the smaller the difference value is, the worse the water treatment effect is judged; acquiring the discharge value of each discharge port in the T time period according to the discharge total information; and acquiring emission reference data by combining the acquired unqualified values with the emission values.
Further, the information analysis module specifically analyzes the survival information of the fishes and the shrimps as follows:
the information analysis module analyzes and acquires river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information in the fish and shrimp survival information;
analyzing river grass carp and shrimp information, obtaining the number of river fish and shrimp in a T time period, obtaining the number of river fish and shrimp once every T time, obtaining the number of fish and shrimp for many times in the T time period, taking a horizontal coordinate as a time unit and a vertical coordinate as the number of fish and shrimp, establishing a rectangular plane coordinate system, representing the number of fish and shrimp in the rectangular plane coordinate system by coordinate points, smoothly connecting the coordinate points to form a fish and shrimp change curve graph, obtaining normal death quantity of fish and shrimp in the T time period, subtracting the death quantity from the last obtained number of fish and shrimp to obtain actual survival quantity, observing the change condition of the number of fish and shrimp in the fish and shrimp change curve graph, if the fish and shrimp change curve is in a horizontal fluctuation mode and the last obtained number of fish and shrimp is not less than the actual survival quantity, judging that the river is not polluted, if the fish and shrimp change curve is in a descending mode, observing the position of the actual survival quantity in the fish and shrimp change curve, and judging that the river is polluted if the corresponding time position is in a 0-0.5T, and judging that the remaining environment is in a severe pollution level according to light pollution;
if the pollution is severe, directly purifying the seawater;
if the pollution is light, when the environment applicable information of the fishes and shrimps is analyzed and obtained, the method specifically comprises the following steps:
acquiring s fishes and shrimps caught from a river and river water with the volume of n, averagely dividing the obtained fishes and shrimps and the river water into k observation areas, and continuously introducing oxygen into the river water of each observation area in the observation process;
treating the river water in each observation area based on a nano treatment technology, and adjusting the treatment speed during treatment to ensure that the treatment speeds are different;
recording the survival life of the fishes and shrimps in each observation area, acquiring the fishes and shrimps with the longest survival life, and acquiring the processing regulation speed to obtain the optimal processing speed and the worst processing speed;
and defining the river channel volume value, the detection value, the emission reference data, the optimal processing speed and the worst processing speed as river channel processing data, and transmitting the river channel processing data to a processing and judging module.
Further, the processing and determining module selects a corresponding river water processing method according to the detection data, in the process of river water processing, the maximum self-purification value of the river channel is obtained according to the volume value of the river channel, the number of the detection data is obtained, the purification reference value of each discharge port is obtained based on the number of the detection data, the difference value between the discharge reference data and the purification reference value is obtained, if the difference value is not greater than zero, the discharge reference data is judged to be qualified, if the difference value is greater than zero, the discharge reference data is judged to be unqualified, the maximum value and the minimum value which are greater than 0 are obtained, and if the maximum value is more than twice of the minimum value, the maximum value is set as: zdsz; the minimum values are: zxsz; then [ zxsz, zdsz ] is the sewage discharge safety threshold, and if the maximum value is more than twice the minimum value, then [ zxsz,2 xzxsz ] is the sewage discharge safety threshold, and (2 xzxsz, zdsz ] is the sewage discharge risk threshold.
Further, the processing determination module sets a living organism threshold according to the optimal processing speed and the worst processing speed, and the optimal processing speed is set as follows: zyclsd; the worst processing speed is: zcclsd; if the worst processing speed is less than the optimal processing speed, [ zcclsd, zcclsd/3] is a danger survival threshold, and in the river water processing process, the biological death rate in the speed interval is high; in the (zyclsd/3, 2 Xzyclsd/3), which is a general survival threshold, biological death is low in the speed interval during the river water treatment process, and in the (2 Xzyclsd/3, zyclsd), which is a safe survival threshold, biological death is low in the speed interval during the river water treatment process;
if the worst processing speed is greater than the optimal processing speed, the [ zyclsd, zcclsd/3] is a dangerous survival threshold, and the biological death rate in the speed interval is higher in the river water processing process; the biological death rate in the speed interval is low in the river water treatment process (zcclsd/3, 2 × zcclsd/3) which is a general survival threshold, and the biological death rate in the speed interval is low in the river water treatment process (2 × zcclsd/3, zcclsd) which is a safe survival threshold.
Further, when performing the difference calculation, the following is specifically performed:
acquiring water quality detection values from a first discharge port to a p-th discharge port to obtain p water quality detection values, and performing one-to-one difference calculation on the water quality detection standard values and the p water quality detection values to obtain detection difference values;
when the emission reference data is obtained, the absolute value of the monitoring difference is obtained, the larger the absolute value is, the worse the water treatment effect is judged to be, the emission numerical value of the current discharge port is obtained to obtain, and the emission reference data is obtained according to the absolute value of the emission numerical value and the monitoring difference.
The invention has the beneficial effects that: according to the method, river channel information in the river channel water treatment process is acquired, and the river channel internal water flow information, the river channel discharge information and the biological survival information are analyzed according to the river channel information, river channel treatment data are obtained after comprehensive analysis, and river channel discharge alarm and river channel cleaning speed adjustment are carried out according to the river channel treatment data;
the method acquires the discharge reference data of the discharge port by the total discharge amount information discharged by the corresponding discharge port in the enterprise, compares the discharge reference data with the purification reference value to judge whether the sewage discharge is qualified or not, performs threshold division according to the difference of the obtained numerical values, and penalizes the enterprise with high pollution.
Advantages of additional aspects of the invention will be set forth in part in the description of the embodiments which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of a river channel purification treatment method based on nano water treatment technology according to the present invention;
fig. 2 is a method step diagram of a river purification treatment method based on a nano water treatment technology.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Referring to fig. 1 and 2, the present invention provides a river purification processing method based on a nano water treatment technology, wherein a processing system includes a river information processing module, an information analysis module, a processing determination module, a usage amount adjustment module, a discharge alarm module, and a server; the river information processing module, the information analysis module, the processing and judging module, the usage adjusting module and the emission alarm module are respectively in data connection with the server;
the specific content comprises the following steps: the river channel information processing module acquires water flow information, discharge inflow information and biological survival information in a river channel;
the river channel internal water flow information comprises river channel depth information, river channel area information, river channel water quality information and river channel detection information;
the discharge inflow information comprises discharge port number information, discharge enterprise information, inflow detection information and discharge total amount information;
the biological survival information comprises river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information;
the information analysis module receives and analyzes water flow information, discharge inflow information and fish and shrimp survival information in the river channel to obtain river channel processing data;
the information analysis module specifically comprises the following steps when analyzing the water flow information in the river channel:
the information analysis module receives and analyzes river channel depth information, river channel area information, river channel water quality information and river channel detection information in the river channel internal water flow information;
acquire the river course volume value based on river course depth information and river course area information, when acquireing, specifically as follows:
acquiring a plurality of river channel depth values based on the river channel depth information, acquiring graph information formed corresponding to the same river channel depth value to form a plurality of graph structures, solving according to the area values of the formed graph structures, solving the volume values of the graph structures by combining the solved area values with the corresponding river channel depth values, and adding the volume values to obtain the river channel volume value;
carrying out sampling detection on river water according to the river water quality information and the river detection information;
dividing the river channel into a plurality of sampling areas according to the water quality information of the river channel, wherein each sampling area comprises a group of discharge inlets; acquiring the volume value of each sampling area, sampling water at multiple positions, acquiring multiple sampling samples, detecting the sampling samples, acquiring the values detected by the multiple sampling samples through river channel detection information to obtain multiple detection values, observing the values of the multiple detection values, performing integral treatment during river water treatment if the multiple detection values are the same, and performing regional treatment during river water treatment if the multiple detection values are different;
it should be noted that: the detection value is formed by two or more groups of turbidity, free chlorine, odor, taste, chromaticity, visible substances, total bacterial count, total coliform group, heat-resisting coliform group or potassium permanganate index in the water;
wherein: chroma: reaction of colored substances in water; turbidity: the degree of obstruction of the light rays by suspended matters in the water; odor and taste: reflecting that odoriferous substances exist in the drinking water, and having no foreign odor or peculiar smell according to the requirement; visible to the naked eye: refers to particles or other suspended matter present in the water that can be observed by the naked eye; total number of bacteria: one summary value, is the overall requirement; the total number of bacteria in the water can reflect the degree of pollution of the water source by domestic sewage or organic matters and the efficiency of a water purification process; total coliform group: a water quality polluted sunny rain watch can judge that pollution exists if the water quality is overproof. Indirectly showing the pollution condition of intestinal pathogenic bacteria in the drinking water; generally, the more total coliform groups in water, the higher the possibility of being polluted by intestinal pathogenic bacteria and the higher the possibility of harming human health; according to the standard of drinking water, the drinking water can not be detected; heat-resistant coliform group bacteria: part of the total coliform group, heat-resistant coliform group is easy to die in nature, and can not be detected in drinking water according to sanitary standard of drinking water; residual chlorine: the residual content after consumption by the action of bacteria, microorganisms, organic matters and the like in water after disinfection by chlorination reflects the disinfection effect of drinking water; potassium permanganate: the amount of the oxidant consumed in the process of treating a water sample by using potassium permanganate as the oxidant under a certain condition is a common index for reflecting the pollution of organic and inorganic oxidizable substances in a water body.
The information analysis module specifically analyzes the emission inflow information as follows:
the information analysis module analyzes the information of the number of the discharge ports, the information of discharge enterprises, the information of inflow detection and the information of total discharge amount in the discharge inflow information;
counting the discharge port values according to the discharge port quantity information, setting the discharge port values to be p, and acquiring the discharge enterprise information, inflow detection information and discharge total quantity information from one discharge port to the p-th discharge port;
acquiring the name of a discharge enterprise according to the information of the discharge enterprise, detecting the water quality discharge of each discharge port according to inflow detection information to obtain a water quality detection value, acquiring a standard value of the water quality detection of sewage discharge through a server, and calculating the difference between the standard value of the water quality detection and a water quality detection parameter to obtain a detection difference value, wherein if the detection difference value is more than or equal to 0, the water treatment is judged to be qualified, if the detection difference value is less than 0, the water treatment is judged to be unqualified, and the smaller the difference value is, the worse the water treatment effect is judged; acquiring the discharge value of each discharge port in the T time period according to the discharge total information; acquiring emission reference data by combining the acquired unqualified numerical value with an emission numerical value;
when the difference is calculated, the following concrete steps are performed:
acquiring water quality detection values from a first discharge port to a p-th discharge port to obtain p water quality detection values, and performing one-to-one difference between the water quality detection standard values and the p water quality detection values to obtain detection difference values;
when the emission reference data is obtained, the absolute value of the monitoring difference value is obtained, the larger the absolute value is, the worse the water treatment effect is judged to be, the emission numerical value of the current discharge port is obtained to obtain, and the emission reference data is obtained according to the absolute value of the emission numerical value and the monitoring difference value;
the information analysis module specifically comprises the following steps of when analyzing the survival information of the fishes and the shrimps:
the information analysis module analyzes and acquires river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information in the fish and shrimp survival information;
analyzing river grass carp and shrimp information, acquiring the number of river fishes and shrimps in a T time period, acquiring the number of river fishes and shrimps in the T time period once every T time, acquiring a plurality of fish and shrimp number values in the T time period, establishing a rectangular plane coordinate system by taking an abscissa as a time unit and a ordinate as the fish and shrimp number values, representing the fish and shrimp number values in the rectangular plane coordinate system by coordinate points, smoothly connecting the coordinate points to form a fish and shrimp change curve graph, acquiring normal death of the fishes and shrimps in the T time period, subtracting the death from the last acquired fish and shrimp number value to obtain actual survival, observing the change condition of the fish and shrimp number values in the fish and shrimp change curve graph, judging whether the fishes and shrimps are polluted if the fish and shrimp change curve is horizontal and the last acquired fish and shrimp number value is not less than the actual survival, observing the position of the actual survival in the fish and shrimp change curve if the fish and shrimp change curve is in a descending trend, judging that the fish and shrimp are polluted if the corresponding time position is 0-0.5T, judging that the river channel is severely polluted, and judging that the rest environment is slightly polluted according to the environmental grade;
it should be noted that: when the water quantity of the fishes and the shrimps is obtained, a river water area with a certain volume can be selected, the fishes and the shrimps are intercepted through a blocking net, the quantity of the fishes and the shrimps in the intercepted river water is obtained, and the death quantity of the fishes and the shrimps is obtained according to the change value of the input quantity and the yield quantity of the fishes and the shrimps in the normal culture process;
wherein p is a positive integer, T and T are time units, and T is an integer multiple of T;
if the pollution is severe, directly purifying the seawater;
if the pollution is light, when the environment applicable information of the fishes and shrimps is analyzed and obtained, the method specifically comprises the following steps:
acquiring s fishes and shrimps caught from a river and river water with the volume of n, averagely dividing the obtained fishes and shrimps and the river water into k observation areas, and continuously introducing oxygen into the river water of each observation area in the observation process;
wherein s is a numerical unit, n is a volume unit, the number of fish and shrimps is the same when s is taken as a value, s can take a value of 2000, wherein the number of fish is 1000, the number of shrimps is 1000, and s can take a value of 3000, 4000 or 5000; k is an integral multiple of s/2 when the value is taken, k is a positive integer, and fish and shrimp can be evenly divided into a plurality of parts;
treating the river water in each observation area based on a nano treatment technology, and adjusting the treatment speed during treatment to ensure that the treatment speeds are different;
recording the survival life of the fishes and shrimps in each observation area, acquiring the fishes and shrimps with the longest survival life, and acquiring the processing regulation speed to obtain the optimal processing speed and the worst processing speed;
the river channel volume value, the detection value, the discharge reference data, the optimal processing speed and the worst processing speed are defined as river channel processing data, and the river channel processing data are transmitted to a processing and judging module;
the processing and judging module receives and analyzes the river channel processing data, and judges a biological survival threshold and a sewage discharge threshold based on the acquired river channel processing data;
the treatment judging module selects a corresponding river water treatment method according to the detection data, in the process of river water treatment, the maximum self-purification numerical value of the river channel is obtained according to the volume value of the river channel, the quantity of the detection data is obtained, the purification reference value of each discharge port is obtained based on the quantity of the detection data, the difference value between the discharge reference data and the purification reference value is obtained, if the difference value is not larger than zero, the discharge reference data is judged to be qualified, if the difference value is larger than zero, the discharge reference data is judged to be unqualified, the maximum numerical value and the minimum numerical value which are larger than 0 are obtained, and if the maximum numerical value is more than twice of the minimum numerical value, the maximum numerical value is set as: zdsz; the minimum values are: zxsz; then [ zxsz, zdsz ] is the sewage discharge safety threshold, if the maximum value is more than twice of the minimum value, then [ zxsz,2 xzxsz ] is the sewage discharge safety threshold, and (2 xzxsz, zdsz ] is the sewage discharge danger threshold;
when the purge reference value is obtained, the following is specific: setting the decontamination reference value as: jhckz; the number of detection data is: sl; the maximum self-cleaning values are: zdjhz; then jhckz = zdjhz/sl;
when the river self-purification numerical value is obtained, the method specifically comprises the following steps:
obtaining a river channel volume value TJ, setting the maximum purification value of river water in 1m inside a T time period as x, and taking the river channel self-purification numerical value as the product of TJ and x;
the processing judgment module sets a biological survival threshold value according to the optimal processing speed and the worst processing speed, and the optimal processing speed is set as follows: zyclsd; the worst processing speed is: zcclsd; if the worst processing speed is less than the optimal processing speed, [ zcclsd, zcclsd/3] is a danger survival threshold, and in the river water processing process, the biological death rate in the speed interval is high; in the (zyclsd/3, 2 zyclsd/3), which is a general survival threshold, the biological death in the speed interval is low in the river water treatment process, and in the (2 zyclsd/3, zyclsd), which is a safe survival threshold, the biological death in the speed interval is low in the river water treatment process;
if the worst processing speed is greater than the optimal processing speed, the [ zyclsd, zcclsd/3] is a dangerous survival threshold, and the biological death rate in the speed interval is higher in the river water processing process; the biological death rate in the speed interval is low in the river water treatment process (zcclsd/3, 2 xzcclsd/3), which is a general survival threshold value, and the biological death rate in the speed interval is low in the river water treatment process (2 xzcclsd/3, zcclsd), which is a safe survival threshold value;
the judging result is conveyed to the using amount adjusting module or the discharging alarm module, the using amount adjusting module receives the biological survival threshold value and adjusts the river channel processing speed when river channel processing is carried out, the discharging alarm module receives the sewage discharging threshold value and sends out an alarm, and the server receives alarm information and arranges related sewage discharging enterprises.
The working principle is as follows: a river purification treatment method based on a nano water treatment technology comprises the following specific steps:
step S1: the method comprises the steps that water flow information, discharge inflow information and biological survival information inside a river channel are obtained, and an information analysis module receives the water flow information, the discharge inflow information and the fish and shrimp survival information inside the river channel and analyzes the information to obtain river channel processing data;
step S11: the information analysis module receives and analyzes river depth information, river area information, river water quality information and river detection information in river internal water flow information;
step S12: acquiring a plurality of river channel depth values based on the river channel depth information, acquiring graph information formed corresponding to the same river channel depth value to form a plurality of graph structures, solving according to the area values of the formed graph structures, solving the volume values of the graph structures by combining the solved area values with the corresponding river channel depth values, and adding the volume values to obtain the river channel volume value;
step S13: carrying out sampling detection on river water according to the river water quality information and the river detection information; dividing the river channel into a plurality of sampling areas according to the water quality information of the river channel, wherein each sampling area comprises a group of discharge inlets; acquiring the volume value of each sampling area, sampling water at multiple positions, acquiring multiple sampling samples, detecting the sampling samples, acquiring the values detected by the multiple sampling samples through river channel detection information to obtain multiple detection values, observing the values of the multiple detection values, performing integral treatment during river water treatment if the multiple detection values are the same, and performing regional treatment during river water treatment if the multiple detection values are different;
step S14: the information analysis module analyzes the information of the number of the discharge ports, the information of discharge enterprises, the information of inflow detection and the information of total discharge amount in the discharge inflow information; counting the discharge port values according to the discharge port quantity information, setting the discharge port values to be p, and acquiring the discharge enterprise information, inflow detection information and discharge total quantity information from one discharge port to the p-th discharge port;
step S15: acquiring the name of a discharge enterprise according to the information of the discharge enterprise, detecting the water quality discharge of each discharge port according to inflow detection information to obtain a water quality detection value, acquiring a standard value of the water quality detection of sewage discharge through a server, and calculating the difference between the standard value of the water quality detection and a water quality detection parameter to obtain a detection difference value, wherein if the detection difference value is more than or equal to 0, the water treatment is judged to be qualified, if the detection difference value is less than 0, the water treatment is judged to be unqualified, and the smaller the difference value is, the worse the water treatment effect is judged; acquiring the discharge value of each discharge port in the T time period according to the discharge total information; acquiring emission reference data by combining the acquired unqualified numerical value with an emission numerical value;
step S16: the information analysis module analyzes and acquires river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information in the fish and shrimp survival information;
analyzing river grass carp and shrimp information, acquiring the number of river fish and shrimp in a T time period, establishing a planar rectangular coordinate system by taking a horizontal coordinate as a time unit and taking a vertical coordinate as a fish and shrimp number value, expressing the fish and shrimp number value in the planar rectangular coordinate system by using coordinate points, smoothly connecting a plurality of coordinate points to form a fish and shrimp change curve graph, acquiring normal death amount of the fish and shrimp in the T time period, subtracting the death amount from the last acquired fish and shrimp number value to obtain actual survival amount, observing the change condition of the fish and shrimp number value in the fish and shrimp change curve graph, judging that the river is not polluted if the fish and shrimp change curve is in horizontal fluctuation and the last acquired fish and shrimp number value is not less than the actual survival amount, judging that the river is lightly polluted if the fish and shrimp change curve is in a descending trend, observing the position of the actual survival amount in the fish and shrimp change curve, judging that the river is heavily polluted if the corresponding time position is 0-0.5T, and acquiring environment applicable information according to the pollution level;
step S17: if the pollution is severe, directly purifying the seawater; if the pollution is light, acquiring s fishes and shrimps caught from the river and river water with the volume of n, averagely dividing the acquired fishes and shrimps and river water into k observation areas, and continuously introducing oxygen into the river water of each observation area in the observation process;
step S18: treating the river water in each observation area based on a nano treatment technology, and adjusting the treatment speed during treatment to ensure that the treatment speeds are different; recording the survival life of the fishes and shrimps in each observation area, acquiring the fishes and shrimps with the longest survival life, and acquiring the processing regulation speed to obtain the optimal processing speed and the worst processing speed; defining the river channel volume value, the detection value, the emission reference data, the optimal processing speed and the worst processing speed as river channel processing data, and transmitting the river channel processing data to a processing judgment module;
step S2: the processing and judging module receives and analyzes the river channel processing data, and judges a biological survival threshold and a sewage discharge threshold based on the acquired river channel processing data;
and step S3: the judgment result is transmitted to a dosage adjusting module or a discharge alarm module, and the dosage adjusting module receives the biological survival threshold value and adjusts the river channel processing speed when the river channel processing is carried out;
and step S4: the discharge alarm module receives the sewage discharge threshold value to send out an alarm, and the server receives alarm information to arrange relevant sewage discharge enterprises.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), an on-Read Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
The above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (4)
1. A river course purification treatment method based on a nano water treatment technology is characterized by comprising the following specific steps:
step S1: the method comprises the steps that water flow information, discharge inflow information and biological survival information inside a river channel are obtained, and an information analysis module receives the water flow information, the discharge inflow information and the fish and shrimp survival information inside the river channel and analyzes the information to obtain river channel processing data;
the river channel internal water flow information comprises river channel depth information, river channel area information, river channel water quality information and river channel detection information;
the discharge inflow information comprises discharge port number information, discharge enterprise information, inflow detection information and discharge total amount information;
the biological survival information comprises river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information;
the method comprises the steps that river channel depth information, river channel area information, river channel water quality information, river channel detection information, discharge port number information, discharge enterprise information, inflow detection information, discharge total amount information, river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information are conveyed to an information analysis module to be analyzed;
the information analysis module specifically comprises the following steps when analyzing the survival information of the fishes and the shrimps:
the information analysis module analyzes and acquires river channel fish and shrimp information, fish and shrimp environment applicable information and water body oxygen information in the fish and shrimp survival information;
analyzing river channel fish and shrimp information, acquiring the number of river channel fish and shrimp in a T time period, acquiring the number of river channel fish and shrimp once every T time period, acquiring a plurality of fish and shrimp quantity values in the T time period, establishing a rectangular plane coordinate system by taking an abscissa as a time unit and a ordinate as the fish and shrimp quantity values, representing the fish and shrimp quantity values in the rectangular plane coordinate system by coordinate points, smoothly connecting the coordinate points to form a fish and shrimp change curve graph, acquiring normal death quantity of the fish and shrimp in the T time period, subtracting the death quantity from the last acquired fish and shrimp quantity value to obtain actual survival quantity, observing the change condition of the fish and shrimp quantity values in the fish and shrimp change curve graph, judging whether pollution occurs if the fish and shrimp change curve is in a horizontal fluctuation mode and the last acquired fish and shrimp quantity value is not smaller than the actual survival quantity, observing the position of the actual survival quantity in the fish and shrimp change curve if the fish and shrimp change curve is in a descending trend, judging that the pollution occurs if the corresponding time position is 0-0.5T, judging that the river channel fish and shrimp change curve is in a severe pollution environment, and judging that the remaining environment is suitable for mild pollution according to the environmental pollution level;
if the pollution is severe, directly purifying the river water;
if the pollution is light, when the environment applicable information of the fishes and shrimps is analyzed and obtained, the method specifically comprises the following steps:
acquiring s fishes and shrimps caught from a river and river water with the volume of n, averagely dividing the obtained fishes and shrimps and the river water into k observation areas, and continuously introducing oxygen into the river water of each observation area in the observation process;
treating the river water in each observation area based on a nano treatment technology, and adjusting the treatment speed during treatment to ensure that the treatment speeds are different;
recording the survival life of the fishes and shrimps in each observation area, acquiring the fishes and shrimps with the longest survival life, and acquiring the processing regulation speed to obtain the optimal processing speed and the worst processing speed;
defining the river channel volume value, the detection value, the emission reference data, the optimal processing speed and the worst processing speed as river channel processing data, and transmitting the river channel processing data to a processing judgment module;
step S2: the processing and judging module receives and analyzes the river channel processing data, and judges a biological survival threshold and a sewage discharge threshold based on the acquired river channel processing data;
the method comprises the steps that a processing and judging module selects a corresponding river water treatment method according to detection data, in the process of river water treatment, the maximum self-purification numerical value of a river channel is obtained according to the volume value of the river channel, the quantity of the detection data is obtained, the purification reference value of each discharge port is obtained based on the quantity of the detection data, the difference value between the emission reference data and the purification reference value is obtained, if the difference value is not larger than zero, the emission reference data is judged to be qualified, if the difference value is larger than zero, the emission reference data is judged to be unqualified, the maximum numerical value and the minimum numerical value which are larger than 0 are obtained, and if the maximum numerical value is more than two times of the minimum numerical value, the maximum numerical value is set as: zdsz; the minimum values are: zxsz; then [ zxsz, zdsz ] is the sewage discharge safety threshold, if the maximum value is more than twice of the minimum value, then [ zxsz,2 xzxsz ] is the sewage discharge safety threshold, and (2 xzxsz, zdsz ] is the sewage discharge danger threshold;
the processing judgment module sets a biological survival threshold according to the optimal processing speed and the worst processing speed, and the optimal processing speed is set as follows: zyclsd; the worst processing speed is: zcclsd; if the worst processing speed is less than the optimal processing speed, [ zcclsd, zcclsd/3] is a danger survival threshold, and in the river water processing process, the biological death rate in the speed interval is high; in the (zyclsd/3, 2 Xzyclsd/3), which is a general survival threshold, biological death is low in the speed interval during the river water treatment process, and in the (2 Xzyclsd/3, zyclsd), which is a safe survival threshold, biological death is low in the speed interval during the river water treatment process;
if the worst treatment speed is greater than the optimal treatment speed, [ zyclsd, zcclsd/3] is a danger survival threshold, and the biological death rate is higher in the speed interval during the river water treatment process; the biological death in the speed interval is low in the river water treatment process under the condition of (zccclsd/3, 2 xzccclsd/3) being a general survival threshold value and the biological death in the speed interval is low in the river water treatment process under the condition of (2 xzccclsd/3, zccclsd) being a safe survival threshold value;
and step S3: the judgment result is transmitted to a dosage adjusting module or a discharge alarm module, and the dosage adjusting module receives the biological survival threshold value and adjusts the river channel processing speed when the river channel processing is carried out;
and step S4: the discharge alarm module receives the sewage discharge threshold value to send out an alarm, and the server receives alarm information to arrange relevant sewage discharge enterprises.
2. The riverway purification treatment method based on the nano-water treatment technology according to claim 1, wherein the information analysis module specifically analyzes the river channel internal water flow information as follows:
the information analysis module receives and analyzes river channel depth information, river channel area information, river channel water quality information and river channel detection information in the river channel internal water flow information;
acquire the river course volume value based on river course depth information and river course area information, when acquireing, specifically as follows:
acquiring a plurality of river channel depth values based on the river channel depth information, acquiring graph information formed corresponding to the same river channel depth value to form a plurality of graph structures, solving according to the area values of the formed graph structures, solving the volume values of the graph structures by combining the solved area values with the corresponding river channel depth values, and adding the volume values to obtain the river channel volume value;
carrying out sampling detection on river water according to the river water quality information and the river detection information;
dividing the river channel into a plurality of sampling areas according to the water quality information of the river channel, wherein each sampling area comprises a group of discharge inlets; and volume numerical value to every sampling region acquires, samples the water of a plurality of positions, acquires a plurality of sampling samples, detects sampling sample, acquires the numerical value that a plurality of sampling samples detected through river course detection information, obtains a plurality of detection numerical values, observes the numerical value size of a plurality of detection numerical values, if a plurality of detection numerical values are the same, then carries out overall processing when carrying out river water treatment, if a plurality of detection numerical values are different, then carries out subregion and handles when carrying out river water treatment.
3. The riverway purification treatment method based on the nano-water treatment technology as claimed in claim 1, wherein the information analysis module is configured to analyze the discharge inflow information as follows:
the information analysis module analyzes the information of the number of the discharge ports, the information of discharge enterprises, the information of inflow detection and the information of total discharge amount in the discharge inflow information;
counting the discharge port values according to the discharge port quantity information, setting the discharge port values to be p, and acquiring the discharge enterprise information, inflow detection information and discharge total quantity information from one discharge port to the p-th discharge port;
acquiring the name of a discharge enterprise according to the information of the discharge enterprise, detecting the water quality discharge of each discharge port according to inflow detection information to obtain a water quality detection value, acquiring a standard value of the water quality detection of sewage discharge through a server, and calculating the difference between the standard value of the water quality detection and a water quality detection parameter to obtain a detection difference value, wherein if the detection difference value is more than or equal to 0, the water treatment is judged to be qualified, if the detection difference value is less than 0, the water treatment is judged to be unqualified, and the smaller the difference value is, the worse the water treatment effect is judged; acquiring the discharge value of each discharge port in the T time period according to the discharge total information; and acquiring emission reference data by combining the acquired unqualified values with the emission values.
4. The river purification treatment method based on the nano water treatment technology according to claim 3, wherein the difference is obtained by:
acquiring water quality detection values from a first discharge port to a p-th discharge port to obtain p water quality detection values, and performing one-to-one difference between the water quality detection standard values and the p water quality detection values to obtain detection difference values;
when the emission reference data is obtained, the absolute value of the monitoring difference is obtained, the larger the absolute value is, the worse the water treatment effect is judged to be, the emission numerical value of the current discharge port is obtained to obtain, and the emission reference data is obtained according to the absolute value of the emission numerical value and the monitoring difference.
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