CN112070393A - Wastewater quality detection system that industry and agriculture production discharged - Google Patents

Wastewater quality detection system that industry and agriculture production discharged Download PDF

Info

Publication number
CN112070393A
CN112070393A CN202010928979.4A CN202010928979A CN112070393A CN 112070393 A CN112070393 A CN 112070393A CN 202010928979 A CN202010928979 A CN 202010928979A CN 112070393 A CN112070393 A CN 112070393A
Authority
CN
China
Prior art keywords
sewage
value
module
harmful gas
instruction
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010928979.4A
Other languages
Chinese (zh)
Other versions
CN112070393B (en
Inventor
李凡
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wanzijian Testing Technology Shanghai Co ltd
Original Assignee
Yichang Hulan Technology Development Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yichang Hulan Technology Development Co ltd filed Critical Yichang Hulan Technology Development Co ltd
Priority to CN202010928979.4A priority Critical patent/CN112070393B/en
Publication of CN112070393A publication Critical patent/CN112070393A/en
Application granted granted Critical
Publication of CN112070393B publication Critical patent/CN112070393B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18Water
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A20/00Water conservation; Efficient water supply; Efficient water use
    • Y02A20/152Water filtration

Abstract

The invention discloses a wastewater quality detection system discharged by industrial and agricultural production, which comprises a task release module, a task allocation module, a data acquisition module, a data analysis module, a judgment module, a server, a database, a threat assessment module, an alarm module and a display module, wherein the task release module is used for releasing a task; the system can reasonably distribute corresponding testers to collect according to the collection positions, so that the data collection efficiency is improved, the alarm module makes corresponding prompts for the sewage pollution concentration value and the quality concentration of harmful gas, the safety of sewage detection work is improved, and the work efficiency is improved; the threat assessment module is used for acquiring a pollution concentration value RY of the sewage and a mass concentration PRI of harmful gas and assessing the pollution concentration value RY and the mass concentration PRI; comparing the threat value ZA with a preset threat value threshold; judging the threat level; the display module makes different display according to the threat instruction of difference, makes things convenient for the staff more audio-visual understanding, and the staff of being convenient for in time makes different reply.

Description

Wastewater quality detection system that industry and agriculture production discharged
Technical Field
The invention relates to the technical field of sewage detection, in particular to a wastewater quality detection system for industrial and agricultural production discharge.
Background
With the rapid development of industrialization and urbanization, various private small-sized enterprises such as bamboo shoots are continuously gushed out in spring after raining, a large amount of industrial sewage and domestic sewage are generated, the sewage is rich in various hydroxides and heavy metal ions, the environment is polluted, and the pollution degree is gradually increased along with the continuous consumption of energy; and small-sized enterprises are small in scale, and in order to seek benefit maximization, a large amount of sewage is directly discharged without being treated, so that a large amount of land and river pollution is caused, and the ecological environment is seriously damaged.
The document of the publication No. CN208155992U discloses a sewage monitoring and management system based on big data technology, which includes a monitoring node, a transmission module, a big data management module, a support application layer, an application platform and a data processing module, wherein the monitoring node collects the relevant physical quantities of sewage components and converts the relevant physical quantities into corresponding electrical signals to be output, the electrical signals are converted into digital signals after being subjected to AD conversion, the digital signals are transmitted into the big data management module through the transmission module, the big data management module processes the received signals again and then enters the support application layer, the support application layer issues commands in real time to control the operation of lower devices after comparing the received data, the output end of the support application layer is connected to the application platform, the big data management module and the support application layer both need to perform data read-write transmission operation through the data processing module, the utility model discloses the monitoring is accurate, can accurate realize the pollution degree data of teletransmission sewage, is worth promoting.
However, the sewage quality is usually detected by sampling and assaying in a sewage source, but in the prior art, the design of a sewage sampler is too simple, the sampling mode is mostly that a test tube or a sampling bottle is manually held for sampling, the sampling operation difficulty is high, physical strength is consumed, simultaneously, the danger of falling due to the defect exists, the water sample is easily polluted secondarily, the assay result of the water sample is deviated, and the treatment direction is easily misled; moreover, for some specific polluted water bodies, the water quality is not uniform, the water quality changes very obviously at different positions and different depths of the water bodies, and multiple sampling is often required for different positions and/or water depths, which increases the difficulty and workload of sewage sampling;
the existing sewage monitoring and management system transmits the relevant physical quantity of the sewage components collected by the monitoring nodes to the corresponding processor and then monitors and manages by utilizing relevant equipment, but the whole treatment process is only compared with a manually set standard, the information quantity is small, and the sewage pollution degree is far from being determined.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a wastewater quality detection system for industrial and agricultural production discharge. The invention can reasonably distribute corresponding testers for collection according to the collection positions, improves the data collection efficiency, and simultaneously adopts a sewage sample at the collection position by using a sampling device arranged on the unmanned aerial vehicle; the sewage at different depths of the site is sampled simultaneously, the water taking efficiency is high, and the sampled sewage is more representative and accurate; meanwhile, the motor and the remote driving unit can be additionally arranged for remote control, so that the labor intensity of a detector is reduced, and the safety is improved; the alarm module makes corresponding prompts for the sewage pollution concentration value and the mass concentration of harmful gas, so that the safety of sewage detection work is improved, and the work efficiency is improved; the threat assessment module is used for acquiring a pollution concentration value RY of the sewage and a mass concentration PRI of harmful gas and assessing the pollution concentration value RY and the mass concentration PRI; comparing the threat value ZA with a preset threat value threshold; judging the threat level; the display module makes different display according to the threat instruction of difference, makes things convenient for the staff more audio-visual understanding, and the staff of being convenient for in time makes different reply.
The purpose of the invention can be realized by the following technical scheme: a wastewater quality detection system discharged in industrial and agricultural production comprises a task release module, a task allocation module, a data acquisition module, a data analysis module, a judgment module, a server, a database, a threat assessment module, an alarm module and a display module;
the task issuing module is used for issuing a collection position by a worker and accessing the task issuing module and obtaining the collection position by a registered user through a mobile phone terminal, wherein the collection position is the position of a sewage source;
the data acquisition module is used for a tester to sample and acquire data of the acquisition position and transmit the acquired data to the data analysis module; the data analysis module is used for acquiring sewage data, analyzing and processing the sewage data, and comprises the following specific analysis steps:
x1: acquiring sewage PH value information in the sewage quality information, and marking the sewage PH value as RC; acquiring sewage turbidity information in the sewage quality information, and marking the sewage turbidity value as RE; acquiring sewage dissolved oxygen information in the sewage quality information, and marking a sewage dissolved oxygen value as RF; acquiring sewage sulfide information in the sewage quality information, wherein the sewage sulfide value is marked as RG;
x2: assigning weights to the pH value, the turbidity value, the dissolved oxygen value and the sulfide value of the sewage, and sequentially assigning the weights to the pH value, the turbidity value, the dissolved oxygen value and the sulfide value of the sewage to Q1, Q2, Q3 and Q4, wherein Q1+ Q2+ Q3+ Q4 is 1, and Q1> Q2> Q3> Q4;
x3: according to the formula RY | RC-8| × Q1+ RE × Q2-RF × Q3+ RG × Q4; calculating to obtain a pollution concentration value RY of the sewage;
x4: acquiring harmful gas molecular weight information in the harmful gas information, and marking the harmful gas molecular weight as PMi; acquiring harmful gas temperature information in the harmful gas information, and marking the harmful gas temperature as PTi; 1, ·, n; acquiring harmful gas pressure information in the harmful gas information, and marking the harmful gas pressure as PPi; acquiring harmful gas volume concentration information in the harmful gas information, and marking the harmful gas volume concentration as PNi;
x5: converting the volume concentration of the harmful gas into the mass concentration of the harmful gas according to a calculation formula of the mass concentration of the gas, wherein the calculation formula of the mass concentration of the gas is as follows:
PRi=(PMi/22.4)×[273/(273+PTi)]×[PPi/101325]×PNi
wherein PRI is the mass concentration of harmful gases; i represents the ith harmful gas;
the data analysis module transmits the pollution concentration value RY of the sewage and the mass concentration PRI of the harmful gas to the judgment module; the judging module transmits the pollution concentration value RY of the sewage and the mass concentration PRI of the harmful gas to a server for storage;
the database also stores concentration threshold values of various harmful gases and pollution concentration threshold values of sewage, and transmits the concentration threshold values of various harmful gases and pollution concentration threshold values of sewage to the judgment module;
the judging module receives concentration threshold values of various harmful gases allowed to be discharged and pollution concentration threshold values of sewage allowed to be discharged, which are transmitted by the database, compares the mass concentration of the harmful gases with the concentration threshold values of various harmful gases allowed to be discharged and compares the pollution concentration value of the sewage with the pollution concentration threshold value of the sewage allowed to be discharged; judging whether the mass concentration of the harmful gas and the pollution concentration value of the sewage exceed the standard or not; the specific judgment is as follows:
w1: marking the allowable sewage discharge pollution concentration threshold as PX according to the allowable sewage discharge pollution concentration threshold transmitted by the database;
according to the concentration threshold value of each harmful gas allowed to be discharged, which is transmitted by the database, marking the concentration threshold value of each harmful gas allowed to be discharged as Ri, i-1. PRI and Ri are in one-to-one correspondence;
w2: comparing RY with PX, judging whether the pollution concentration value of the sewage exceeds the standard or not, and judging that the result is as follows:
w21: when RY is less than PX, judging that the pollution concentration value of the sewage does not exceed the standard;
w22: when RY is not less than PX, judging that the pollution concentration value of the sewage exceeds the standard, and generating an alarm instruction;
w3: comparing PRI with Ri, judging whether the mass concentration of the harmful gas exceeds the standard, and judging that the result is as follows:
w31: when PRI is less than Ri, judging that the mass concentration of the harmful gas does not exceed the standard;
w22: when PRI is not less than Ri, judging that the mass concentration of the harmful gas exceeds the standard, and generating an alarm instruction;
the judging module outputs an alarm instruction to the server, the server receives the alarm instruction and transmits the alarm instruction to the alarm module, and the alarm module sends out an alarm signal according to the alarm instruction transmitted by the server.
Further, the specific working steps of the data acquisition module are as follows:
SS 1: after the inspector receives the acquisition position through the mobile phone terminal, the inspector arrives at the acquisition position, shoots a picture at the acquisition position through the mobile phone terminal and sends the picture at the acquisition position and the current real-time position to the data acquisition module;
SS 2: the data acquisition module receives a current real-time position sent by a detector and a picture at the acquisition position and then carries out position matching, if the current real-time position is matched with the acquisition position, a detection starting instruction is generated and sent to a mobile phone terminal of the detector, the mobile phone terminal starts timing after receiving the detection starting instruction, and the timing starting moment is marked as the detection starting moment of the detector; then, the inspector connects the unmanned aerial vehicle with the data acquisition module in a communication manner;
SS 3: the inspector controls the unmanned aerial vehicle to reach the acquisition position through the mobile phone terminal, and meanwhile, the unmanned aerial vehicle sends the real-time positioned and real-time acquired video to the data acquisition module;
SS 4: taking a sewage sample at an acquisition position through a sampling device arranged on an unmanned aerial vehicle, and then conveying the sewage sample to a position of an inspector through the unmanned aerial vehicle;
SS 5: a detector detects a sewage sample through a detector to obtain sewage data; the sewage data comprises sewage quality information and harmful gas information; the sewage quality information comprises sewage PH value information, turbidity information, dissolved oxygen information and sulfide information; the harmful gas information comprises harmful gas molecular weight information, harmful gas temperature information, harmful gas pressure information and harmful gas volume concentration information;
SS 6: the inspector sends the sewage data to the data acquisition module through the mobile phone terminal; after the data acquisition module receives the sewage data, stopping timing and marking the timing stopping time as the detection finishing time of a detector; meanwhile, the data acquisition module sends the received sewage data to a database through a server for storage; then, the staff inputs the scoring value to the data acquisition module through the computer terminal;
SS 7: calculating the time difference between the detection ending time and the detection starting time to obtain the detection duration of the inspector and marking the detection duration as T1; calculating the time difference between the detection starting time and the position sending time to obtain a delay time and marking the delay time as T2; setting the score value input by the worker as V1;
SS 8: obtaining a single effect value QT of the inspector by using a formula QT ═ 1/T1 (x b1+ (1/T2) x b2+ V1 x b 3; wherein b1, b2 and b3 are all preset proportionality coefficients;
SS 9: and summing all the effective values of the testers and averaging to obtain the tested value of the testers.
Further, the threat assessment module is used for acquiring the pollution concentration value RY of the sewage and the quality concentration PRI of the harmful gas and assessing the pollution concentration value RY and the quality concentration PRI of the harmful gas, and the specific assessment steps are as follows:
XX 1: acquiring a pollution concentration value RY of sewage and a mass concentration PRI, i of harmful gas, wherein the mass concentration PRI, i is 1.
XX 2: obtaining a threat value ZA by using a formula ZA (RY × C1+ D1 × PR1+ D2 × PR2+ … + Dn × PRn), wherein PR1, PR2, d... and PRn are mass concentrations of the nth harmful gas, and D1, D2, d.and Dn are corresponding regression parameters; c1 is a preset proportionality coefficient;
XX 3: setting a plurality of preset threat value thresholds and marking the thresholds as Yg; g is 1, 2, 3; and Y1< Y2< Y3;
XX 4: comparing the threat value ZA with a preset threat value threshold; judging the threat level;
if ZA > Y3; generating a primary threat instruction and sending the primary threat instruction to a display module;
if Y2< ZA ≦ Y3; generating a secondary threat instruction; sending the secondary threat instruction to a display module;
if Y1< ZA ≦ Y2; generating a third-level threat instruction; sending the third-level threat instruction to a display module;
if ZA is less than or equal to Y1; generating a safety instruction and sending the safety instruction to a display module; wherein the first level threat instruction > the second level threat instruction > the third level threat instruction > the security instruction.
Furthermore, the display module is used for receiving the instruction sent by the threat assessment module and displaying the instruction in real time, and comprises a large-screen display unit and an intelligent terminal unit; the specific display steps are as follows:
WW 1: when the display module receives a primary threat instruction, the large-screen display unit displays a character eye of the primary threat instruction, the character is thickened and inclined, the background color is set to be red, and the primary threat instruction is sent to the intelligent terminal unit;
WW 2: when the display module receives a secondary threat instruction, the large-screen display unit displays a character eye of the secondary threat instruction, the character style is thickened, the background color is set to be orange, and meanwhile, the secondary threat instruction is sent to the intelligent terminal unit;
WW 3: when the display module receives the third-level threat instruction, the large-screen display unit displays the word eye and the standard font of the third-level threat instruction, sets the background color to yellow, and simultaneously sends the third-level threat instruction to the intelligent terminal unit;
WW 4: when the display module receives the safety instruction, the large-screen display unit displays the safety instruction character eye and the standard character, sets the background color to be green, and simultaneously sends the safety instruction to the intelligent terminal unit.
The invention has the beneficial effects that:
1. according to the invention, the task allocation module is used for allocating the acquisition positions, corresponding inspectors can be reasonably allocated according to the acquisition positions for acquisition, the data acquisition efficiency is improved, and meanwhile, a sampling device arranged on the unmanned aerial vehicle is used for sampling sewage at the acquisition positions; the sewage at different depths of the site is sampled simultaneously, the water taking efficiency is high, and the sampled sewage is more representative and accurate; meanwhile, the motor and the remote driving unit can be additionally arranged for remote control, so that the labor intensity of a detector is reduced, and the safety is improved.
2. The sewage data are obtained through the data analysis module and are analyzed and processed; acquiring sewage quality information and combining a correlation algorithm to obtain a pollution concentration value RY of the sewage; acquiring harmful gas information and combining with a related algorithm to obtain the mass concentration of the harmful gas; the judging module receives concentration threshold values of various harmful gases allowed to be discharged and pollution concentration threshold values of sewage allowed to be discharged, which are transmitted by the database, compares the mass concentration of the harmful gases with the concentration threshold values of various harmful gases allowed to be discharged and compares the pollution concentration value of the sewage with the pollution concentration threshold value of the sewage allowed to be discharged; judging whether the mass concentration of the harmful gas and the pollution concentration value of the sewage exceed the standard or not; if the standard exceeds the standard, an alarm instruction is generated, the safety of sewage detection work is improved, and the work efficiency is improved.
3. The method comprises the steps of obtaining a pollution concentration value RY of the sewage and a mass concentration PRI of harmful gas through a threat assessment module and assessing the pollution concentration value RY and the mass concentration PRI of the harmful gas; obtaining a threat value ZA by using a formula ZA (RY × C1+ D1 × PR1+ D2 × PR2+ … + Dn × PRn); comparing the threat value ZA with a preset threat value threshold; judging the threat level; the display module makes different display according to the threat instruction of difference, makes things convenient for the staff more audio-visual understanding, and the staff of being convenient for in time makes different reply.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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 fig. 1, a wastewater quality detection system discharged from industrial and agricultural production comprises a task issuing module, a task allocation module, a data acquisition module, a data analysis module, a judgment module, a server, a database, a threat assessment module, an alarm module and a display module;
the task issuing module is used for issuing a collection position by a worker and accessing the task issuing module and obtaining the collection position by a registered user through a mobile phone terminal, wherein the collection position is the position of a sewage source;
the data acquisition module is used for the inspector to carry out sample sampling and data acquisition to the acquisition position and transmit the acquired data to the data analysis module, and the concrete steps are as follows:
SS 1: after the inspector receives the acquisition position through the mobile phone terminal, the inspector arrives at the acquisition position, shoots a picture at the acquisition position through the mobile phone terminal and sends the picture at the acquisition position and the current real-time position to the data acquisition module;
SS 2: the data acquisition module receives a current real-time position sent by a detector and a picture at the acquisition position and then carries out position matching, if the current real-time position is matched with the acquisition position, a detection starting instruction is generated and sent to a mobile phone terminal of the detector, the mobile phone terminal starts timing after receiving the detection starting instruction, and the timing starting moment is marked as the detection starting moment of the detector; then, the inspector connects the unmanned aerial vehicle with the data acquisition module in a communication manner;
SS 3: the inspector controls the unmanned aerial vehicle to reach the acquisition position through the mobile phone terminal, and meanwhile, the unmanned aerial vehicle sends the real-time positioned and real-time acquired video to the data acquisition module;
SS 4: taking a sewage sample at an acquisition position through a sampling device arranged on an unmanned aerial vehicle, and then conveying the sewage sample to a position of an inspector through the unmanned aerial vehicle;
wherein the sampling device is the sewage sampling device in the file with the notice number CN 211292173U; the device can move to any position of a water area to be sampled through the floating plate, and simultaneously samples sewage at different depths of the position, so that the water taking efficiency is high, and the sampled sewage is more representative and accurate; meanwhile, the motor and the remote driving unit can be additionally arranged for remote control, so that the labor intensity of workers is reduced, and the safety is improved;
SS 5: a detector detects a sewage sample through a detector to obtain sewage data; the sewage data comprises sewage quality information and harmful gas information; the sewage quality information comprises sewage PH value information, turbidity information, dissolved oxygen information and sulfide information; the harmful gas information comprises harmful gas molecular weight information, harmful gas temperature information, harmful gas pressure information and harmful gas volume concentration information;
SS 6: the inspector sends the sewage data to the data acquisition module through the mobile phone terminal; after the data acquisition module receives the sewage data, stopping timing and marking the timing stopping time as the detection finishing time of a detector; meanwhile, the data acquisition module sends the received sewage data to a database through a server for storage; then, the staff inputs the scoring value to the data acquisition module through the computer terminal;
SS 7: calculating the time difference between the detection ending time and the detection starting time to obtain the detection duration of the inspector and marking the detection duration as T1; calculating the time difference between the detection starting time and the position sending time to obtain a delay time and marking the delay time as T2; setting the score value input by the worker as V1;
SS 8: obtaining a single effect value QT of the inspector by using a formula QT ═ 1/T1 (x b1+ (1/T2) x b2+ V1 x b 3; wherein b1, b2 and b3 are all preset proportionality coefficients;
SS 9: summing all the effective values of the testers and taking the average value to obtain the detection value of the testers;
the invention can reasonably distribute corresponding testers for collection according to the collection positions, improves the data collection efficiency, and simultaneously adopts a sewage sample at the collection position by using a sampling device arranged on the unmanned aerial vehicle; the sewage at different depths of the site is sampled simultaneously, the water taking efficiency is high, and the sampled sewage is more representative and accurate; meanwhile, the motor and the remote driving unit can be additionally arranged for remote control, so that the labor intensity of a detector is reduced, and the safety is improved;
the data analysis module is used for acquiring sewage data, analyzing and processing the sewage data, and comprises the following specific analysis steps:
x1: acquiring sewage PH value information in the sewage quality information, and marking the sewage PH value as RC;
acquiring sewage turbidity information in the sewage quality information, and marking the sewage turbidity value as RE;
acquiring sewage dissolved oxygen information in the sewage quality information, and marking a sewage dissolved oxygen value as RF;
acquiring sewage sulfide information in the sewage quality information, wherein the sewage sulfide value is marked as RG;
x2: assigning weights to the pH value, the turbidity value, the dissolved oxygen value and the sulfide value of the sewage, and sequentially assigning the weights to the pH value, the turbidity value, the dissolved oxygen value and the sulfide value of the sewage to Q1, Q2, Q3 and Q4, wherein Q1+ Q2+ Q3+ Q4 is 1, and Q1> Q2> Q3> Q4;
x3: according to the formula RY | RC-8| × Q1+ RE × Q2-RF × Q3+ RG × Q4; calculating to obtain a pollution concentration value RY of the sewage;
x4: acquiring harmful gas molecular weight information in the harmful gas information, and marking the harmful gas molecular weight as PMi;
acquiring harmful gas temperature information in the harmful gas information, and marking the harmful gas temperature as PTi; 1, ·, n;
acquiring harmful gas pressure information in the harmful gas information, and marking the harmful gas pressure as PPi;
acquiring harmful gas volume concentration information in the harmful gas information, and marking the harmful gas volume concentration as PNi;
x5: converting the volume concentration of the harmful gas into the mass concentration of the harmful gas according to a calculation formula of the mass concentration of the gas, wherein the calculation formula of the mass concentration of the gas is as follows:
PRi=(PMi/22.4)×[273/(273+PTi)]×[PPi/101325]×PNi
wherein PRI is the mass concentration of harmful gases; i represents the ith harmful gas;
the data analysis module transmits the pollution concentration value RY of the sewage and the mass concentration PRI of the harmful gas to the judgment module; the judging module transmits the pollution concentration value RY of the sewage and the mass concentration PRI of the harmful gas to a server for storage;
the database also stores concentration threshold values of various harmful gases and pollution concentration threshold values of sewage, and transmits the concentration threshold values of various harmful gases and pollution concentration threshold values of sewage to the judgment module;
the judging module receives concentration threshold values of various harmful gases allowed to be discharged and pollution concentration threshold values of sewage allowed to be discharged, which are transmitted by the database, compares the mass concentration of the harmful gases with the concentration threshold values of various harmful gases allowed to be discharged and compares the pollution concentration value of the sewage with the pollution concentration threshold value of the sewage allowed to be discharged; judging whether the mass concentration of the harmful gas and the pollution concentration value of the sewage exceed the standard or not; the specific judgment is as follows:
w1: marking the allowable sewage discharge pollution concentration threshold as PX according to the allowable sewage discharge pollution concentration threshold transmitted by the database;
according to the concentration threshold value of each harmful gas allowed to be discharged, which is transmitted by the database, marking the concentration threshold value of each harmful gas allowed to be discharged as Ri, i-1. PRI and Ri are in one-to-one correspondence;
w2: comparing RY with PX, judging whether the pollution concentration value of the sewage exceeds the standard or not, and judging that the result is as follows:
w21: when RY is less than PX, judging that the pollution concentration value of the sewage does not exceed the standard;
w22: when RY is not less than PX, judging that the pollution concentration value of the sewage exceeds the standard, and generating an alarm instruction;
w3: comparing PRI with Ri, judging whether the mass concentration of the harmful gas exceeds the standard, and judging that the result is as follows:
w31: when PRI is less than Ri, judging that the mass concentration of the harmful gas does not exceed the standard;
w22: when PRI is not less than Ri, judging that the mass concentration of the harmful gas exceeds the standard, and generating an alarm instruction;
the alarm module sends an alarm instruction to the server, the server receives the alarm instruction and transmits the alarm instruction to the alarm module, and the alarm module sends out an alarm signal according to the alarm instruction transmitted by the server;
the threat assessment module is used for acquiring a pollution concentration value RY of the sewage and a quality concentration PRI of harmful gas and assessing the pollution concentration value RY and the quality concentration PRI of the harmful gas, and the specific assessment steps are as follows:
XX 1: acquiring a pollution concentration value RY of sewage and a mass concentration PRI, i of harmful gas, wherein the mass concentration PRI, i is 1.
XX 2: obtaining a threat value ZA by using a formula ZA (RY × C1+ D1 × PR1+ D2 × PR2+ … + Dn × PRn), wherein PR1, PR2, d... and PRn are mass concentrations of the nth harmful gas, and D1, D2, d.and Dn are corresponding regression parameters; c1 is a preset proportionality coefficient;
XX 3: setting a plurality of preset threat value thresholds and marking the thresholds as Yg; g is 1, 2, 3; and Y1< Y2< Y3;
XX 4: comparing the threat value ZA with a preset threat value threshold; judging the threat level;
if ZA > Y3; generating a primary threat instruction and sending the primary threat instruction to a display module;
if Y2< ZA ≦ Y3; generating a secondary threat instruction; sending the secondary threat instruction to a display module;
if Y1< ZA ≦ Y2; generating a third-level threat instruction; sending the third-level threat instruction to a display module;
if ZA is less than or equal to Y1; generating a safety instruction and sending the safety instruction to a display module; wherein, the first-level threat instruction > the second-level threat instruction > the third-level threat instruction > the safety instruction;
the display module is used for receiving the instruction sent by the threat assessment module and displaying the instruction in real time, and comprises a large-screen display unit and an intelligent terminal unit; the specific display steps are as follows:
WW 1: when the display module receives a primary threat instruction, the large-screen display unit displays a character eye of the primary threat instruction, the character is thickened and inclined, the background color is set to be red, and the primary threat instruction is sent to the intelligent terminal unit;
WW 2: when the display module receives a secondary threat instruction, the large-screen display unit displays a character eye of the secondary threat instruction, the character style is thickened, the background color is set to be orange, and meanwhile, the secondary threat instruction is sent to the intelligent terminal unit;
WW 3: when the display module receives the third-level threat instruction, the large-screen display unit displays the word eye and the standard font of the third-level threat instruction, sets the background color to yellow, and simultaneously sends the third-level threat instruction to the intelligent terminal unit;
WW 4: when the display module receives the safety instruction, the large-screen display unit displays the safety instruction character eye and the standard character, sets the background color to be green, and simultaneously sends the safety instruction to the intelligent terminal unit.
The task allocation module is used for allocating the acquisition positions, and the specific allocation steps are as follows:
the method comprises the following steps: marking the registered user who accesses the task issuing module and gets as a primary user;
step two: sending a position acquisition instruction to a mobile phone terminal of the primary user to acquire the position of the primary user, calculating the distance difference between the position of the primary user and the acquisition position to obtain the personnel distance, and marking the personnel distance as JL;
step three: acquiring registration information of a primary user, calculating a time difference between the registration time of the primary user and the current time of the system to acquire registration duration and marking the registration duration as JC;
step four: acquiring the age of the initially selected user and marking the age as JN;
step five: the method comprises the following steps of carrying out detection value analysis and calculation on registration information of a primarily selected user:
s1: setting all models of the detector to correspond to a preset value, matching the model of the detector of the primary user with all models to obtain the corresponding preset value, and marking the preset value as DS;
s2: calculating the time difference between the purchase time of the detector of the primary user and the current time of the system to obtain the purchase duration of the detector of the primary user, and marking the purchase duration as DC;
s3: because the ratio of the preset value corresponding to the model of the detector and the purchasing duration of the detector to the evaluation of the detection value of the detector is different, a correction value is added to the preset value corresponding to the model of the detector and the purchasing duration of the detector respectively, the correction values corresponding to the DS and the DC are respectively B1 and B2, and B1 is greater than B2;
s4: using formulas
Figure BDA0002669491970000141
Obtaining a detection value DJ of the initially selected user; wherein λ is a correction coefficient, and the value is 0.542566253;
step six: carrying out dequantization processing on the person distance, the registration duration, the age and the detection value and taking the values;
step seven: using formulas
Figure BDA0002669491970000142
Calculating to obtain a measured value JH of the primary user; wherein JU is the detection value of the primary user; a1, a2, a3 and a4 are all preset coefficient factors; beta is a compensation coefficient;
step eight: marking the primary selection user with the maximum testing and matching value as a detector;
step nine: and the task allocation module sends the acquisition position to a mobile phone terminal of a detector, and marks the time for sending the acquisition position as the position sending time.
A wastewater quality detection system discharged in industrial and agricultural production; when the mobile phone works, the task issuing module is used for issuing the acquisition position by a worker and accessing the task issuing module and getting the acquisition position by a registered user through a mobile phone terminal; the task allocation module is used for allocating the acquisition positions; marking the registered user who accesses the task issuing module and gets as a primary user; carrying out dequantization processing on the person distance, the registration duration, the age and the detection value and taking the values; combining a correlation algorithm to obtain a testing and matching value JH of the initially selected user; marking the primary selection user with the maximum testing and matching value as a detector;
after the inspector receives the acquisition position through the mobile phone terminal, the inspector arrives at the acquisition position, shoots a picture at the acquisition position through the mobile phone terminal and sends the picture at the acquisition position and the current real-time position to the data acquisition module; if the current real-time position is matched with the acquisition position, generating a detection starting instruction and sending the detection starting instruction to a mobile phone terminal of a detector; the method comprises the following steps that a detector controls an unmanned aerial vehicle to reach an acquisition position through a mobile phone terminal, a sampling device installed on the unmanned aerial vehicle is used for sampling a sewage sample at the acquisition position, and then the sewage sample is conveyed to the position of the detector through the unmanned aerial vehicle; the invention can reasonably distribute corresponding testers for collection according to the collection positions, improves the data collection efficiency, and simultaneously adopts a sewage sample at the collection position by using a sampling device arranged on the unmanned aerial vehicle; the sewage at different depths of the site is sampled simultaneously, the water taking efficiency is high, and the sampled sewage is more representative and accurate; meanwhile, the motor and the remote driving unit can be additionally arranged for remote control, so that the labor intensity of a detector is reduced, and the safety is improved;
a detector detects a sewage sample through a detector to obtain sewage data; the data analysis module is used for acquiring sewage data and analyzing and processing the sewage data; acquiring sewage PH value information, sewage turbidity information, sewage dissolved oxygen information and sewage sulfide information in the sewage quality information; obtaining a pollution concentration value RY of the sewage by combining a correlation algorithm; acquiring harmful gas molecular weight information, harmful gas temperature information, harmful gas pressure information and harmful gas volume concentration information in the harmful gas information; obtaining the mass concentration of the harmful gas according to a calculation formula of the mass concentration of the gas; the judging module receives concentration threshold values of various harmful gases allowed to be discharged and pollution concentration threshold values of sewage allowed to be discharged, which are transmitted by the database, compares the mass concentration of the harmful gases with the concentration threshold values of various harmful gases allowed to be discharged and compares the pollution concentration value of the sewage with the pollution concentration threshold value of the sewage allowed to be discharged; judging whether the mass concentration of the harmful gas and the pollution concentration value of the sewage exceed the standard or not; when RY is not less than PX, judging that the pollution concentration value of the sewage exceeds the standard, and generating an alarm instruction; when PRI is not less than Ri, judging that the mass concentration of the harmful gas exceeds the standard, and generating an alarm instruction; the alarm module sends out an alarm signal according to an alarm instruction transmitted by the server; the alarm module makes corresponding prompts for the sewage pollution concentration value and the mass concentration of harmful gas, so that the safety of sewage detection work is improved, and the work efficiency is improved;
the threat assessment module is used for acquiring a pollution concentration value RY of the sewage and a mass concentration PRI of harmful gas and assessing the pollution concentration value RY and the mass concentration PRI; obtaining a threat value ZA by using a formula ZA (RY × C1+ D1 × PR1+ D2 × PR2+ … + Dn × PRn), and comparing the threat value ZA with a preset threat value threshold; judging the threat level; generating different threat instructions, wherein the display module is used for receiving the instruction sent by the threat assessment module and displaying the instruction in real time; when a primary threat instruction is received, the large-screen display unit displays a character eye of the primary threat instruction, the character is thickened and inclined, and the background color is set to be red; when a secondary threat instruction is received, the large-screen display unit displays the words of the secondary threat instruction, the fonts are thickened, and the background color is set to be orange; when the display module receives the third-level threat instruction, the large-screen display unit displays the word eye of the third-level threat instruction and the standard font, and sets the background color to yellow; when the display module receives the safety instruction, the large-screen display unit displays the safety instruction character eye and the standard character, and sets the background color to be green; comparing the threat value ZA with a preset threat value threshold; judging the threat level; the display module makes different display according to the threat instruction of difference, makes things convenient for the staff more audio-visual understanding, and the staff of being convenient for in time makes different reply.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
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 (4)

1. A wastewater quality detection system discharged in industrial and agricultural production is characterized by comprising a task issuing module, a task allocation module, a data acquisition module, a data analysis module, a judgment module, a server, a database, a threat assessment module, an alarm module and a display module;
the task issuing module is used for issuing a collection position by a worker and accessing the task issuing module and obtaining the collection position by a registered user through a mobile phone terminal, wherein the collection position is the position of a sewage source;
the task allocation module is used for allocating acquisition positions;
the data acquisition module is used for a tester to sample and acquire data of the acquisition position and transmit the acquired data to the data analysis module; the data analysis module is used for acquiring sewage data, analyzing and processing the sewage data, and comprises the following specific analysis steps:
x1: acquiring sewage PH value information in the sewage quality information, and marking the sewage PH value as RC; acquiring sewage turbidity information in the sewage quality information, and marking the sewage turbidity value as RE; acquiring sewage dissolved oxygen information in the sewage quality information, and marking a sewage dissolved oxygen value as RF; acquiring sewage sulfide information in the sewage quality information, wherein the sewage sulfide value is marked as RG;
x2: assigning weights to the pH value, the turbidity value, the dissolved oxygen value and the sulfide value of the sewage, and sequentially assigning the weights to the pH value, the turbidity value, the dissolved oxygen value and the sulfide value of the sewage to Q1, Q2, Q3 and Q4, wherein Q1+ Q2+ Q3+ Q4 is 1, and Q1> Q2> Q3> Q4;
x3: according to the formula RY | RC-8| × Q1+ RE × Q2-RF × Q3+ RG × Q4; calculating to obtain a pollution concentration value RY of the sewage;
x4: acquiring harmful gas molecular weight information in the harmful gas information, and marking the harmful gas molecular weight as PMi; acquiring harmful gas temperature information in the harmful gas information, and marking the harmful gas temperature as PTi; 1, ·, n; acquiring harmful gas pressure information in the harmful gas information, and marking the harmful gas pressure as PPi; acquiring harmful gas volume concentration information in the harmful gas information, and marking the harmful gas volume concentration as PNi;
x5: converting the volume concentration of the harmful gas into the mass concentration of the harmful gas according to a calculation formula of the mass concentration of the gas, wherein the calculation formula of the mass concentration of the gas is as follows:
PRi=(PMi/22.4)×[273/(273+PTi)]×[PPi/101325]×PNi
wherein PRI is the mass concentration of harmful gases; i represents the ith harmful gas;
the data analysis module transmits the pollution concentration value RY of the sewage and the mass concentration PRI of the harmful gas to the judgment module; the judging module transmits the pollution concentration value RY of the sewage and the mass concentration PRI of the harmful gas to a server for storage;
the database also stores concentration threshold values of various harmful gases and pollution concentration threshold values of sewage, and transmits the concentration threshold values of various harmful gases and pollution concentration threshold values of sewage to the judgment module;
the judging module receives concentration threshold values of various harmful gases allowed to be discharged and pollution concentration threshold values of sewage allowed to be discharged, which are transmitted by the database, compares the mass concentration of the harmful gases with the concentration threshold values of various harmful gases allowed to be discharged and compares the pollution concentration value of the sewage with the pollution concentration threshold value of the sewage allowed to be discharged; judging whether the mass concentration of the harmful gas and the pollution concentration value of the sewage exceed the standard or not; the specific judgment is as follows:
w1: marking the allowable sewage discharge pollution concentration threshold as PX according to the allowable sewage discharge pollution concentration threshold transmitted by the database;
according to the concentration threshold value of each harmful gas allowed to be discharged, which is transmitted by the database, marking the concentration threshold value of each harmful gas allowed to be discharged as Ri, i-1. PRI and Ri are in one-to-one correspondence;
w2: comparing RY with PX, judging whether the pollution concentration value of the sewage exceeds the standard or not, and judging that the result is as follows:
w21: when RY is less than PX, judging that the pollution concentration value of the sewage does not exceed the standard;
w22: when RY is not less than PX, judging that the pollution concentration value of the sewage exceeds the standard, and generating an alarm instruction;
w3: comparing PRI with Ri, judging whether the mass concentration of the harmful gas exceeds the standard, and judging that the result is as follows:
w31: when PRI is less than Ri, judging that the mass concentration of the harmful gas does not exceed the standard;
w22: when PRI is not less than Ri, judging that the mass concentration of the harmful gas exceeds the standard, and generating an alarm instruction;
the judging module outputs an alarm instruction to the server, the server receives the alarm instruction and transmits the alarm instruction to the alarm module, and the alarm module sends out an alarm signal according to the alarm instruction transmitted by the server.
2. The industrial and agricultural production wastewater quality detection system according to claim 1, wherein the data acquisition module comprises the following specific working steps:
SS 1: after the inspector receives the acquisition position through the mobile phone terminal, the inspector arrives at the acquisition position, shoots a picture at the acquisition position through the mobile phone terminal and sends the picture at the acquisition position and the current real-time position to the data acquisition module;
SS 2: the data acquisition module receives a current real-time position sent by a detector and a picture at the acquisition position and then carries out position matching, if the current real-time position is matched with the acquisition position, a detection starting instruction is generated and sent to a mobile phone terminal of the detector, the mobile phone terminal starts timing after receiving the detection starting instruction, and the timing starting moment is marked as the detection starting moment of the detector; then, the inspector connects the unmanned aerial vehicle with the data acquisition module in a communication manner;
SS 3: the inspector controls the unmanned aerial vehicle to reach the acquisition position through the mobile phone terminal, and meanwhile, the unmanned aerial vehicle sends the real-time positioned and real-time acquired video to the data acquisition module;
SS 4: taking a sewage sample at an acquisition position through a sampling device arranged on an unmanned aerial vehicle, and then conveying the sewage sample to a position of an inspector through the unmanned aerial vehicle;
SS 5: a detector detects a sewage sample through a detector to obtain sewage data; the sewage data comprises sewage quality information and harmful gas information; the sewage quality information comprises sewage PH value information, turbidity information, dissolved oxygen information and sulfide information; the harmful gas information comprises harmful gas molecular weight information, harmful gas temperature information, harmful gas pressure information and harmful gas volume concentration information;
SS 6: the inspector sends the sewage data to the data acquisition module through the mobile phone terminal; after the data acquisition module receives the sewage data, stopping timing and marking the timing stopping time as the detection finishing time of a detector; meanwhile, the data acquisition module sends the received sewage data to a database through a server for storage; then, the staff inputs the scoring value to the data acquisition module through the computer terminal;
SS 7: calculating the time difference between the detection ending time and the detection starting time to obtain the detection duration of the inspector and marking the detection duration as T1; calculating the time difference between the detection starting time and the position sending time to obtain a delay time and marking the delay time as T2; setting the score value input by the worker as V1;
SS 8: obtaining a single effect value QT of the inspector by using a formula QT ═ 1/T1 (x b1+ (1/T2) x b2+ V1 x b 3; wherein b1, b2 and b3 are all preset proportionality coefficients;
SS 9: and summing all the effective values of the testers and averaging to obtain the tested value of the testers.
3. The industrial and agricultural production wastewater quality detection system according to claim 1, wherein the threat assessment module is used for acquiring and assessing a pollution concentration value RY of sewage and a quality concentration PRI of harmful gas, and the assessment steps are as follows:
XX 1: acquiring a pollution concentration value RY of sewage and a mass concentration PRI, i of harmful gas, wherein the mass concentration PRI, i is 1.
XX 2: obtaining a threat value ZA by using a formula ZA (RY × C1+ D1 × PR1+ D2 × PR2+ … + Dn × PRn), wherein PR1, PR2, d... and PRn are mass concentrations of the nth harmful gas, and D1, D2, d.and Dn are corresponding regression parameters; c1 is a preset proportionality coefficient;
XX 3: setting a plurality of preset threat value thresholds and marking the thresholds as Yg; g is 1, 2, 3; and Y1< Y2< Y3;
XX 4: comparing the threat value ZA with a preset threat value threshold; judging the threat level;
if ZA > Y3; generating a primary threat instruction and sending the primary threat instruction to a display module;
if Y2< ZA ≦ Y3; generating a secondary threat instruction; sending the secondary threat instruction to a display module;
if Y1< ZA ≦ Y2; generating a third-level threat instruction; sending the third-level threat instruction to a display module;
if ZA is less than or equal to Y1; generating a safety instruction and sending the safety instruction to a display module; wherein the first level threat instruction > the second level threat instruction > the third level threat instruction > the security instruction.
4. The industrial and agricultural production wastewater quality detection system according to claim 1, wherein the display module is used for receiving the instruction sent by the threat assessment module and displaying the instruction in real time, and comprises a large-screen display unit and an intelligent terminal unit; the specific display steps are as follows:
WW 1: when the display module receives a primary threat instruction, the large-screen display unit displays a character eye of the primary threat instruction, the character is thickened and inclined, the background color is set to be red, and the primary threat instruction is sent to the intelligent terminal unit;
WW 2: when the display module receives a secondary threat instruction, the large-screen display unit displays a character eye of the secondary threat instruction, the character style is thickened, the background color is set to be orange, and meanwhile, the secondary threat instruction is sent to the intelligent terminal unit;
WW 3: when the display module receives the third-level threat instruction, the large-screen display unit displays the word eye and the standard font of the third-level threat instruction, sets the background color to yellow, and simultaneously sends the third-level threat instruction to the intelligent terminal unit;
WW 4: when the display module receives the safety instruction, the large-screen display unit displays the safety instruction character eye and the standard character, sets the background color to be green, and simultaneously sends the safety instruction to the intelligent terminal unit.
CN202010928979.4A 2020-09-07 2020-09-07 Wastewater quality detection system that industry and agriculture production discharged Active CN112070393B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010928979.4A CN112070393B (en) 2020-09-07 2020-09-07 Wastewater quality detection system that industry and agriculture production discharged

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010928979.4A CN112070393B (en) 2020-09-07 2020-09-07 Wastewater quality detection system that industry and agriculture production discharged

Publications (2)

Publication Number Publication Date
CN112070393A true CN112070393A (en) 2020-12-11
CN112070393B CN112070393B (en) 2021-06-01

Family

ID=73663842

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010928979.4A Active CN112070393B (en) 2020-09-07 2020-09-07 Wastewater quality detection system that industry and agriculture production discharged

Country Status (1)

Country Link
CN (1) CN112070393B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112668851A (en) * 2020-12-21 2021-04-16 浙江弄潮儿智慧科技有限公司 Method and system for determining biodiversity protection key area
CN112885039A (en) * 2021-01-22 2021-06-01 深圳市渝华发电子科技有限公司 Municipal sewage monitoring control system based on big data
CN113155102A (en) * 2021-02-24 2021-07-23 时代云英(深圳)科技有限公司 River comprehensive treatment system
CN114152715A (en) * 2021-12-01 2022-03-08 特斯联科技集团有限公司 Architectural design carbon emission detection method
CN114252576A (en) * 2022-02-28 2022-03-29 安徽新宇环保科技股份有限公司 Intelligent decision-making assisting analysis system for river chang
CN116205468A (en) * 2023-05-05 2023-06-02 烟台星辉航空液压有限公司 Intelligent data analysis system based on electroplating process production line wastewater
CN116362522A (en) * 2023-06-01 2023-06-30 广东鑫钻节能科技股份有限公司 Digital energy nitrogen station data processing method and system based on multipoint distribution model
CN117513485A (en) * 2024-01-02 2024-02-06 上海中韩杜科泵业制造有限公司 Water supply system based on water quality pollution level

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104678065A (en) * 2015-03-13 2015-06-03 山西潞安环保能源开发股份有限公司 Online monitoring intelligent early warning system for coal mine water burst
CN109376974A (en) * 2018-08-08 2019-02-22 成都万江港利科技股份有限公司 A kind of Water Resources Irrigation total management system
CN109459273A (en) * 2018-12-26 2019-03-12 武汉飞流智能技术有限公司 Device, unmanned plane sampling system and the method for sampling for multiple spot water intaking sampling
CN109813857A (en) * 2019-03-08 2019-05-28 新昌县以琳环保科技有限公司 Based on Internet of Things water quality monitoring system monitoring method
CN109946418A (en) * 2017-12-21 2019-06-28 北京航天泰坦科技股份有限公司 A kind of air quality monitoring and evaluation method and system
CN109960200A (en) * 2019-03-19 2019-07-02 温州洪启信息科技有限公司 Municipal drainage network monitoring control system based on big data
CN209764489U (en) * 2019-01-15 2019-12-10 储铭仪 unmanned aerial vehicle-based sampling device for water quality inspection of rivers and lakes
US20200128800A1 (en) * 2018-10-26 2020-04-30 Taiwan Water Recycle Technology Co., Ltd. System of Cultivating Aquatic Product and Plant

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104678065A (en) * 2015-03-13 2015-06-03 山西潞安环保能源开发股份有限公司 Online monitoring intelligent early warning system for coal mine water burst
CN109946418A (en) * 2017-12-21 2019-06-28 北京航天泰坦科技股份有限公司 A kind of air quality monitoring and evaluation method and system
CN109376974A (en) * 2018-08-08 2019-02-22 成都万江港利科技股份有限公司 A kind of Water Resources Irrigation total management system
US20200128800A1 (en) * 2018-10-26 2020-04-30 Taiwan Water Recycle Technology Co., Ltd. System of Cultivating Aquatic Product and Plant
CN109459273A (en) * 2018-12-26 2019-03-12 武汉飞流智能技术有限公司 Device, unmanned plane sampling system and the method for sampling for multiple spot water intaking sampling
CN209764489U (en) * 2019-01-15 2019-12-10 储铭仪 unmanned aerial vehicle-based sampling device for water quality inspection of rivers and lakes
CN109813857A (en) * 2019-03-08 2019-05-28 新昌县以琳环保科技有限公司 Based on Internet of Things water quality monitoring system monitoring method
CN109960200A (en) * 2019-03-19 2019-07-02 温州洪启信息科技有限公司 Municipal drainage network monitoring control system based on big data

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
熊磊等: "长春市新区污水水质及水量变化规律分析", 《环境工程》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112668851B (en) * 2020-12-21 2021-11-02 浙江弄潮儿智慧科技有限公司 Method and system for determining biodiversity protection key area
CN112668851A (en) * 2020-12-21 2021-04-16 浙江弄潮儿智慧科技有限公司 Method and system for determining biodiversity protection key area
CN112885039A (en) * 2021-01-22 2021-06-01 深圳市渝华发电子科技有限公司 Municipal sewage monitoring control system based on big data
CN113155102A (en) * 2021-02-24 2021-07-23 时代云英(深圳)科技有限公司 River comprehensive treatment system
CN113155102B (en) * 2021-02-24 2021-11-19 时代云英(深圳)科技有限公司 River comprehensive treatment system
CN114152715B (en) * 2021-12-01 2023-12-26 深圳特斯联智能科技有限公司 Method for detecting carbon emission of building design
CN114152715A (en) * 2021-12-01 2022-03-08 特斯联科技集团有限公司 Architectural design carbon emission detection method
CN114252576A (en) * 2022-02-28 2022-03-29 安徽新宇环保科技股份有限公司 Intelligent decision-making assisting analysis system for river chang
CN116205468A (en) * 2023-05-05 2023-06-02 烟台星辉航空液压有限公司 Intelligent data analysis system based on electroplating process production line wastewater
CN116362522A (en) * 2023-06-01 2023-06-30 广东鑫钻节能科技股份有限公司 Digital energy nitrogen station data processing method and system based on multipoint distribution model
CN116362522B (en) * 2023-06-01 2023-08-11 广东鑫钻节能科技股份有限公司 Digital energy nitrogen station data processing method and system based on multipoint distribution model
CN117513485A (en) * 2024-01-02 2024-02-06 上海中韩杜科泵业制造有限公司 Water supply system based on water quality pollution level
CN117513485B (en) * 2024-01-02 2024-03-12 上海中韩杜科泵业制造有限公司 Water supply system based on water quality pollution level

Also Published As

Publication number Publication date
CN112070393B (en) 2021-06-01

Similar Documents

Publication Publication Date Title
CN112070393B (en) Wastewater quality detection system that industry and agriculture production discharged
CN115577018B (en) Intelligent processing method and system for water quality monitoring data
CN110046834B (en) Workplace harmful gas health risk quantitative evaluation system and evaluation method thereof
CN107764976B (en) Rapid diagnosis method and online monitoring system for soil nitrogen
CN202748370U (en) Automatic sampling and analysis system for water
CN103969415A (en) Movable type water pollution data acquisition system and movable type water pollution data acquisition method
CN109975366A (en) Domestic sewage in rural areas A2O processing terminal effluent COD concentration flexible measurement method and device
CN110458529A (en) A kind of water pollution prediction method based on big data
CN110070220A (en) A kind of ammonia nitrogen index flexible measurement method based on neural network algorithm
CN116308958A (en) Carbon emission online detection and early warning system and method based on mobile terminal
CN114527078A (en) Monitoring and early warning method and system based on full-spectrum water quality analyzer
CN103063674B (en) Detection method for copper grade of copper block, and detection system thereof
CN116705163B (en) Real-time fluorescence PCR data management system
CN108489543B (en) Enterprise pollution discharge index monitoring equipment and use method
CN112858251A (en) Mobile laboratory informatization system
CN116739999A (en) In-service pile foundation nondestructive testing method
Andria et al. Model characterization in measurements of environmental pollutants via data correlation of sensor outputs
CN115481941B (en) Multifunctional area combined intelligent security management method and system
CN216669729U (en) Water quality monitoring device
CN116448988A (en) Industrial park soil pollution monitoring system and method
CN111504927A (en) Efficient and stable atomic absorption spectrometer for food detection and control method thereof
CN116626238A (en) Dual-channel detection compass system for sensing air flow and air combination, air leakage detection method, data fusion and tracking method
CN1896742A (en) Space-pollution realtime monitoring indicator
CN205958561U (en) Integral type water quality testing equipment
CN106610636A (en) Remote spot check system and method for pollution source

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20220526

Address after: 201800 room 104, floor 1, building 1, No. 296, Xinguan Road, Jiading District, Shanghai

Patentee after: Wanzijian Testing Technology (Shanghai) Co.,Ltd.

Address before: A1802, Dongfang block, No.11, development avenue, hi tech Zone, Yichang City, Hubei Province

Patentee before: Yichang Hulan Technology Development Co.,Ltd.

TR01 Transfer of patent right