CN114577268A - Big data monitoring method for sewage tracing - Google Patents
Big data monitoring method for sewage tracing Download PDFInfo
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- CN114577268A CN114577268A CN202210229208.5A CN202210229208A CN114577268A CN 114577268 A CN114577268 A CN 114577268A CN 202210229208 A CN202210229208 A CN 202210229208A CN 114577268 A CN114577268 A CN 114577268A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 165
- 239000010865 sewage Substances 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 23
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 98
- 230000002159 abnormal effect Effects 0.000 claims abstract description 68
- 238000004519 manufacturing process Methods 0.000 claims abstract description 4
- 238000010248 power generation Methods 0.000 claims description 5
- 230000005856 abnormality Effects 0.000 claims description 4
- 238000013459 approach Methods 0.000 claims description 4
- 238000004904 shortening Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract 1
- 238000003911 water pollution Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000002351 wastewater Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING
- B63B35/00—Vessels or similar floating structures specially adapted for specific purposes and not otherwise provided for
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/06—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a liquid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING
- B63B35/00—Vessels or similar floating structures specially adapted for specific purposes and not otherwise provided for
- B63B2035/006—Unmanned surface vessels, e.g. remotely controlled
- B63B2035/008—Unmanned surface vessels, e.g. remotely controlled remotely controlled
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
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- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
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- Measurement Of Velocity Or Position Using Acoustic Or Ultrasonic Waves (AREA)
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Abstract
The invention relates to the technical field of sewage tracing, and discloses a big data monitoring method for sewage tracing, which comprises the following steps: the method comprises the following steps of manufacturing equipment, namely installing a water quality detector, a GPS (global positioning system) positioner, a signal transceiver, a sonar detector and an underwater camera on a remote control ship capable of being remotely controlled to form a monitoring ship; forming a monitoring net, namely distributing a plurality of monitoring ships at the downstream of the lake or the water outlet of the lake in a straight line at equal intervals, and enabling the flowing direction of water flow to face the straight line to form the monitoring net; utilize a plurality of monitoring ship to constitute mobilizable monitoring network, can monitor the water resource of different regions, cooperation abnormal marking, unusual judgement, unusual affirmation can be differentiateed the affirmation to the flow direction of sewage fast to tracing to the source to sewage, data, sonar detection ware and the camera that the cooperation GPS locator was collected can accurately seek the blowdown source.
Description
Technical Field
The invention relates to the technical field of sewage tracing, in particular to a big data monitoring method for sewage tracing.
Background
The sewage and wastewater illegal exceeding, steal and sudden water pollution accidents all cause serious pollution and damage to rivers and other water systems and ecological environments, so that the method has a very important significance for emergency treatment of sudden water pollution events by quickly identifying a pollution source through a water pollution traceability technology.
The source of sewage is difficult to trace to among the prior art, causes water pollution comparatively seriously, and the sewage trace to the source in-process, and the cost is too high, and at the sewage trace to the source in-process, is difficult to judge whether be artificial reason, leads to sewage to appear polluting to and be difficult to carry out the problem of accurate positioning to the source of sewage.
Disclosure of Invention
The invention aims to provide a big data monitoring method for tracing sewage to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a big data monitoring method for sewage tracing comprises the following steps:
firstly, manufacturing equipment, namely mounting a water quality detector, a GPS (global positioning system) positioner, a signal transceiver, a sonar detector and an underwater camera on a remote control ship capable of being remotely controlled to form a monitoring ship;
step two, the monitoring net is formed, a plurality of monitoring ships are distributed at the downstream of the lake or the water outlet of the lake at equal intervals in a straight line, and the flowing direction of water flow faces the straight line to form the monitoring net;
collecting data, namely collecting water information through a water quality detector, positioning the current position of a monitoring ship through a GPS (global positioning system) positioner, and then sending the data collected by the water quality detector and the GPS positioner to terminal personnel through a signal transceiver;
step four, abnormal marking, namely setting a corresponding label for each monitoring ship, then setting a normal threshold value for each index of the water quality detector when monitoring water, and carrying out abnormal marking on the current monitoring ship if the normal threshold value is exceeded;
step five, performing abnormity pretreatment, wherein after the water quality detector on one monitoring ship is marked abnormally, two adjacent monitoring ships of the monitoring ship automatically approach to confirm whether the water quality around the monitoring ship which sends the abnormal mark is abnormal or not again;
step six, abnormity judgment, wherein when one water quality detector on one monitoring ship in two adjacent monitoring ships has an abnormal mark, the water quality detector indicates that the water quality in the current area has an abnormal phenomenon, then the water quality detector records the water quality information and the duration time of the abnormal mark, and when no abnormal mark appears on two adjacent monitoring ships, the water quality detector indicates that the monitoring ship which sends the abnormal mark has a fault;
and seventhly, tracing the source of the sewage, namely monitoring the integral network convergence after the abnormal mark is confirmed, shortening the distance between two adjacent monitoring ships, and continuously moving towards the water flow by taking the small ship with the water quality index threshold value exceeding the maximum as the center so as to trace the source of the sewage.
Preferably, in the first step, a standby power supply and a solar panel are further installed on the monitoring ship, the solar panel preferentially stores electric energy converted from solar energy in the standby power supply, and the battery of the monitoring ship is charged after the standby power supply is fully charged.
Preferably, in the second step, the monitoring network enables a plurality of monitoring ships in the monitoring network to periodically and synchronously move in a remote control mode so as to change the position of the monitoring network.
Preferably, in step three, the data collected by the water quality detector and the GPS locator are stored in the server, and the encryption operation is performed on the data.
Preferably, in the fourth step, the information of the water includes temperature, turbidity, PH value and conductivity of the water.
Preferably, the terminal personnel directly and visually display the marked boats on the electronic map by using the computer, and simultaneously display the times of the abnormal marks on one side of the monitoring boat corresponding to the marks, and draw a line graph on the computer, wherein the ordinate unit of the line graph is the concentration of the water quality abnormal index, and the abscissa unit of the line graph is the monitoring time.
Preferably, after the water quality detector has a continuous water quality abnormal mark, the abnormal mark displayed on the computer is counted for the current time, then the abnormal mark is changed into another color displayed when the water quality detector has an abnormal state, and the more the indexes of the water exceed the normal threshold value, the darker the color displayed when the water quality detector has an abnormal state is, so as to visually prompt a worker.
Preferably, in the seventh step, when a plurality of monitoring ships advance facing sewage, when the abnormal degree of water quality detector monitoring on a certain monitoring ship is the highest, the whole monitoring net can move until the monitoring ship in the middle of the monitoring net moves to the area with the highest abnormal degree, so as to ensure that the middle of the monitoring net can always face the area with the highest sewage concentration, and the tracing accuracy in tracing is improved.
Preferably, in the fifth step, observe the line graph that monitoring net middle department corresponds the formation of label monitoring ship, when the circumstances that descends appears again after its concentration rises gradually, when observing concentration is the highest, the geographical position at monitoring ship place, later make monitoring ship remove this position again to open sonar detector and camera, with the accurate blowdown source of looking for.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, a plurality of monitoring ships are utilized to form a movable monitoring network, water resources in different areas can be monitored, abnormal marks, abnormal judgment and abnormal confirmation are matched, the flow direction of sewage can be rapidly distinguished and confirmed, so that the sewage can be traced, the monitoring network can be moved integrally in the tracing process, the monitoring ship in the middle of the monitoring network is moved to an area with the highest abnormal degree, the middle of the monitoring network can be ensured to always face the area with the highest sewage concentration, the tracing accuracy in tracing is improved, and then according to the trend of a broken line diagram, data collected by a GPS (global positioning system) positioner, a sonar detector and a camera are matched, so that a pollution discharge source can be accurately searched.
Drawings
FIG. 1 is a block flow diagram 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.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
A big data monitoring method for sewage tracing comprises the following steps:
firstly, manufacturing equipment, namely mounting a water quality detector, a GPS (global positioning system) positioner, a signal transceiver, a sonar detector and an underwater camera on a remote control ship capable of being remotely controlled to form a monitoring ship;
step two, the monitoring net is formed, a plurality of monitoring ships are distributed at the downstream of the lake or the water outlet of the lake at equal intervals in a straight line, and the flowing direction of water flow faces the straight line to form the monitoring net;
collecting data, namely collecting water information through a water quality detector, positioning the current position of a monitoring ship through a GPS (global positioning system) positioner, and then sending the data collected by the water quality detector and the GPS positioner to terminal personnel through a signal transceiver;
step four, abnormal marking, namely setting a corresponding label for each monitoring ship, then setting a normal threshold value for each index of the water quality detector when monitoring water, and carrying out abnormal marking on the current monitoring ship if the normal threshold value is exceeded;
step five, performing exception preprocessing, wherein when the water quality detector on one monitoring ship is marked abnormally, two adjacent monitoring ships of the monitoring ship automatically approach to confirm whether the water quality of the monitoring ship sending the exception mark is abnormal or not again;
step six, abnormity judgment, wherein when one water quality detector on one monitoring ship in two adjacent monitoring ships has an abnormal mark, the water quality detector indicates that the water quality in the current area has an abnormal phenomenon, then the water quality detector records the water quality information and the duration time of the abnormal mark, and when no abnormal mark appears on two adjacent monitoring ships, the water quality detector indicates that the monitoring ship which sends the abnormal mark has a fault;
and seventhly, tracing the source of the sewage, namely monitoring the integral network convergence after the abnormal mark is confirmed, shortening the distance between two adjacent monitoring ships, and continuously moving towards the water flow by taking the small ship with the water quality index threshold value exceeding the maximum as the center so as to trace the source of the sewage.
In the first step, a standby power supply and a solar power generation panel are further installed on the monitoring ship, the solar power generation panel preferentially stores electric energy converted from solar energy in the standby power supply, and after the standby power supply is full of electricity, the solar power generation panel charges a battery of the monitoring ship so as to prolong the working time of the device.
In the second step, the monitoring network enables a plurality of monitoring ships in the monitoring network to periodically and synchronously move in a remote control mode so as to change the position of the monitoring network, and further the monitoring network can move to other areas to monitor the sewage in the areas.
In the third step, the data collected by the water quality detector and the GPS locator can be stored in the server, and the data is encrypted so that the workers can call and check the data, and the safety of the data is improved.
In the fourth step, the information of the water includes temperature, turbidity, PH value and conductivity of the water.
Terminal personnel directly and visually display the marked boats on the electronic map by using the computer, simultaneously display the times of abnormal marks on one side of the monitoring boat corresponding to the marks, and draw a line graph on the computer, wherein the ordinate unit of the line graph is the concentration of the water quality abnormal index, and the abscissa unit is the monitoring time.
When the water quality detector has a continuous water quality abnormal mark, the abnormal mark frequency displayed on the computer is only calculated for one time, then the abnormal mark is changed into another color displayed when the abnormality occurs, and the more the indexes of the water exceed the normal threshold value, the darker the color is displayed when the abnormality occurs, so as to visually prompt the staff.
And step seven, when the monitoring ships advance against the sewage, when the abnormal degree monitored by the water quality detector on one monitoring ship is the highest, the whole monitoring net can move until the monitoring ship in the middle of the monitoring net moves to the area with the highest abnormal degree, so that the middle of the monitoring net can always face to the area with the highest sewage concentration, and the tracing accuracy in tracing is improved.
And step five, observing a line graph formed by the monitoring ship corresponding to the label in the middle of the monitoring net, when the concentration of the monitoring ship gradually rises and then falls, observing the geographical position of the monitoring ship when the concentration is highest, then moving the monitoring ship to the position again, and opening a sonar detector and a camera to accurately find a pollution discharge source.
Through the technical scheme:
when the system is used, the monitoring ships are distributed at the downstream of the lake or the water outlet of the lake at equal intervals in a straight line, the flowing direction of water flow faces the straight line to form a monitoring network, and then data collected by the water quality detector and the GPS locator are sent to terminal personnel through the signal transceiver in real time;
then setting a normal threshold value for each index of the water quality detector when monitoring water, and if the normal threshold value is exceeded, carrying out abnormal marking on the current monitoring ship;
when the water quality detector on one monitoring ship in the monitoring network has an abnormal mark, two adjacent monitoring ships of the monitoring ship can automatically approach to confirm whether the surrounding water quality of the monitoring ship sending the abnormal mark is abnormal or not again;
when the abnormal mark appears on the water quality detector on one of the two adjacent monitoring ships, the water quality detector indicates that the water quality in the current area has an abnormal phenomenon, and after the abnormal mark is confirmed, the monitoring whole network gathers to shorten the distance between the two adjacent monitoring ships,
then the monitoring net moves forward facing the sewage, when the abnormal degree monitored by the water quality detector on one monitoring ship in the monitoring net is highest, the monitoring net can move integrally until the monitoring ship in the middle of the monitoring net moves to the area with the highest abnormal degree, so that the middle of the monitoring net can always face the area with the highest sewage concentration, and the tracing accuracy in tracing is improved;
in the process, terminal personnel directly and visually display the marked boats on an electronic map by using a computer, simultaneously display the times of abnormal marks on one side of the monitoring boat corresponding to the marks, and make a line graph on the computer, wherein the ordinate unit of the line graph is the concentration of the water quality abnormal index, and the abscissa unit is the monitoring time;
observe the broken line diagram that monitoring net middle department corresponds the formation of label monitoring ship, when the circumstances that descends appears again after its concentration rises gradually, observe the concentration when the highest, the geographical position at monitoring ship place makes later monitoring ship remove this position again to open sonar detector and camera, in order to the accurate blowdown source of looking for.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A big data monitoring method for tracing to a source of sewage is characterized in that: the method comprises the following steps:
firstly, manufacturing equipment, namely mounting a water quality detector, a GPS (global positioning system) positioner, a signal transceiver, a sonar detector and an underwater camera on a remote control ship capable of being remotely controlled to form a monitoring ship;
step two, the monitoring net is formed, a plurality of monitoring ships are distributed at the downstream of the lake or the water outlet of the lake at equal intervals in a straight line, and the flowing direction of water flow faces the straight line to form the monitoring net;
collecting data, namely collecting water information through a water quality detector, positioning the current position of a monitoring ship through a GPS (global positioning system) positioner, and then sending the data collected by the water quality detector and the GPS positioner to terminal personnel through a signal transceiver;
step four, abnormal marking, namely setting a corresponding label for each monitoring ship, then setting a normal threshold value for each index of the water quality detector when monitoring water, and carrying out abnormal marking on the current monitoring ship if the normal threshold value is exceeded;
step five, performing abnormity pretreatment, wherein after the water quality detector on one monitoring ship is marked abnormally, two adjacent monitoring ships of the monitoring ship automatically approach to confirm whether the water quality around the monitoring ship which sends the abnormal mark is abnormal or not again;
step six, abnormity judgment, wherein when one water quality detector on one monitoring ship in two adjacent monitoring ships has an abnormal mark, the water quality detector indicates that the water quality in the current area has an abnormal phenomenon, then the water quality detector records the water quality information and the duration time of the abnormal mark, and when no abnormal mark appears on two adjacent monitoring ships, the water quality detector indicates that the monitoring ship which sends the abnormal mark has a fault;
and seventhly, tracing the source of the sewage, namely monitoring the integral network convergence after the abnormal mark is confirmed, shortening the distance between two adjacent monitoring ships, and continuously moving towards the water flow by taking the small ship with the water quality index threshold value exceeding the maximum as the center so as to trace the source of the sewage.
2. The big data monitoring method for sewage tracing according to claim 1, wherein: in the first step, a standby power supply and a solar power generation panel are further installed on the monitoring ship, the solar power generation panel preferentially stores electric energy converted from solar energy in the standby power supply, and the battery of the monitoring ship is charged after the standby power supply is fully charged.
3. The big data monitoring method for sewage tracing according to claim 1, wherein: in the second step, the monitoring network enables a plurality of monitoring ships in the monitoring network to periodically and synchronously move in a remote control mode so as to change the position of the monitoring network.
4. The big data monitoring method for sewage tracing according to claim 1, wherein: and in the third step, the data collected by the water quality detector and the GPS locator are stored in the server, and the encryption operation is carried out on the data.
5. The big data monitoring method for sewage tracing according to claim 1, wherein: in the fourth step, the information of the water includes temperature, turbidity, PH value and conductivity of the water.
6. The big data monitoring method for sewage tracing according to claim 4, wherein: terminal personnel directly and visually display the marked boats on the electronic map by using the computer, simultaneously display the times of abnormal marks on one side of the monitoring boat corresponding to the marks, and draw a line graph on the computer, wherein the ordinate unit of the line graph is the concentration of the water quality abnormal index, and the abscissa unit is the monitoring time.
7. The big data monitoring method for sewage tracing according to claim 5, wherein: when the water quality detector has a continuous water quality abnormal mark, the abnormal mark frequency displayed on the computer is only calculated for one time, then the abnormal mark is changed into another color displayed when the abnormality occurs, and the more the indexes of the water exceed the normal threshold value, the darker the color is displayed when the abnormality occurs, so as to visually prompt the staff.
8. The big data monitoring method for sewage tracing according to claim 5, wherein: and step seven, when the monitoring ships advance against the sewage, when the abnormal degree monitored by the water quality detector on one monitoring ship is the highest, the whole monitoring net can move until the monitoring ship in the middle of the monitoring net moves to the area with the highest abnormal degree, so that the middle of the monitoring net can always face to the area with the highest sewage concentration, and the tracing accuracy in tracing is improved.
9. The big data monitoring method for sewage tracing according to claim 8, wherein: and step five, observing a line graph formed by the monitoring ship corresponding to the label in the middle of the monitoring net, when the concentration of the monitoring ship gradually rises and then falls, observing the geographical position of the monitoring ship when the concentration is highest, then moving the monitoring ship to the position again, and opening a sonar detector and a camera to accurately find a pollution discharge source.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210229208.5A CN114577268A (en) | 2022-03-09 | 2022-03-09 | Big data monitoring method for sewage tracing |
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| CN202210229208.5A CN114577268A (en) | 2022-03-09 | 2022-03-09 | Big data monitoring method for sewage tracing |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114866877A (en) * | 2022-07-08 | 2022-08-05 | 山西交控生态环境股份有限公司 | Sewage treatment remote data transmission method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114866877A (en) * | 2022-07-08 | 2022-08-05 | 山西交控生态环境股份有限公司 | Sewage treatment remote data transmission method and system |
| CN114866877B (en) * | 2022-07-08 | 2022-09-06 | 山西交控生态环境股份有限公司 | Sewage treatment remote data transmission method and system |
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Application publication date: 20220603 |