CN112142213A - River water purification method and related device - Google Patents
River water purification method and related device Download PDFInfo
- Publication number
- CN112142213A CN112142213A CN202010961378.3A CN202010961378A CN112142213A CN 112142213 A CN112142213 A CN 112142213A CN 202010961378 A CN202010961378 A CN 202010961378A CN 112142213 A CN112142213 A CN 112142213A
- Authority
- CN
- China
- Prior art keywords
- target
- state
- terminal equipment
- water purification
- water
- 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.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 188
- 238000000746 purification Methods 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 51
- 239000000463 material Substances 0.000 claims abstract description 38
- 208000034699 Vitreous floaters Diseases 0.000 claims description 45
- 238000004590 computer program Methods 0.000 claims description 17
- 238000012937 correction Methods 0.000 claims description 14
- 239000012535 impurity Substances 0.000 claims description 12
- 238000012986 modification Methods 0.000 claims description 4
- 230000004048 modification Effects 0.000 claims description 4
- 239000010865 sewage Substances 0.000 abstract description 11
- 230000008569 process Effects 0.000 abstract description 5
- 230000006399 behavior Effects 0.000 description 29
- 238000001914 filtration Methods 0.000 description 20
- 239000010813 municipal solid waste Substances 0.000 description 14
- 239000002023 wood Substances 0.000 description 14
- 238000013507 mapping Methods 0.000 description 8
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 5
- 238000000605 extraction Methods 0.000 description 4
- 238000009360 aquaculture Methods 0.000 description 3
- 244000144974 aquaculture Species 0.000 description 3
- 230000000903 blocking effect Effects 0.000 description 3
- 239000003086 colorant Substances 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000003014 reinforcing effect Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 229910052742 iron Inorganic materials 0.000 description 2
- 230000007935 neutral effect Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 239000004576 sand Substances 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 229910021536 Zeolite Inorganic materials 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 239000003818 cinder Substances 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 239000000571 coke Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- HNPSIPDUKPIQMN-UHFFFAOYSA-N dioxosilane;oxo(oxoalumanyloxy)alumane Chemical compound O=[Si]=O.O=[Al]O[Al]=O HNPSIPDUKPIQMN-UHFFFAOYSA-N 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000000813 microbial effect Effects 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 239000010457 zeolite Substances 0.000 description 1
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/001—Processes for the treatment of water whereby the filtration technique is of importance
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/28—Treatment of water, waste water, or sewage by sorption
- C02F1/281—Treatment of water, waste water, or sewage by sorption using inorganic sorbents
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/28—Treatment of water, waste water, or sewage by sorption
- C02F1/283—Treatment of water, waste water, or sewage by sorption using coal, charred products, or inorganic mixtures containing them
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
- C02F2103/007—Contaminated open waterways, rivers, lakes or ponds
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Organic Chemistry (AREA)
- Water Supply & Treatment (AREA)
- Environmental & Geological Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- Multimedia (AREA)
- Human Computer Interaction (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Inorganic Chemistry (AREA)
- Biological Treatment Of Waste Water (AREA)
Abstract
The embodiment of the application provides a river water purification method and a related device, which are applied to a biological filter material dam, wherein the biological filter material dam at least comprises a camera, terminal equipment and a water purification device, and the method comprises the following steps: the camera acquires a first image of a target river channel; the terminal equipment determines a target state of the target river channel according to the first image, and generates a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state; the water purifying device purifies the water quality of the target river channel according to the water purifying instruction to obtain a purification result, and the intelligence of the river channel in the process of purifying sewage can be improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a river water purification method and a related device.
Background
With the continuous development of cities, certain environmental pollution is brought along with the continuous development of cities. A lot of rivers that flow through the city all receive pollution of different degree, when handling the sewage in the river course at present, adopt artificial intervention's mode usually, detect through the manual work whether river is polluted, carry out sewage treatment again after polluting, the intelligence that has leaded to when sewage treatment is lower.
Disclosure of Invention
The embodiment of the application provides a river water purification method and a related device, which can improve the intelligence of purifying and treating sewage in a river channel.
The first aspect of the embodiment of the application provides a river water purification method, is applied to biological filter material dam, biological filter material dam includes camera, terminal equipment and purifier at least, the method includes:
the camera acquires a first image of a target river channel;
the terminal equipment determines a target state of the target river channel according to the first image, and generates a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state;
and the water purifying device purifies the water quality of the target river channel according to the water purifying instruction to obtain a purification result.
With reference to the first aspect, in a possible implementation manner, the determining, by the terminal device, a target state of the target river according to the first image includes:
the terminal equipment determines floater information of the target river channel and river water color of the target river channel according to the first image, wherein the floater information comprises floaters and the number of the first floaters;
the terminal equipment determines a first reference state of the target river channel according to the floating objects and the first floating object quantity;
the terminal equipment determines a second reference state of the target river channel according to the river water color;
and the terminal equipment determines the target state according to the first reference state and the second reference state.
With reference to the first aspect, in a possible implementation manner, the determining, by the terminal device, a first reference state of the target river according to the floating objects and the first floating object number includes:
the terminal equipment determines the category of the floating object to obtain at least one target category;
the terminal equipment acquires a reference state score value corresponding to the at least one target category;
the terminal equipment determines a grading correction value according to the number of the first floats;
and the terminal equipment determines the first reference state according to the reference state score value and the score correction value.
With reference to the first aspect, in one possible implementation manner, the method further includes:
the terminal equipment acquires the water flow speed of the target river channel;
the terminal equipment determines the number of second floating objects reaching the water purifying device according to the water flow speed;
the terminal equipment determines a first water purification rate according to the quantity of the second floating objects;
the terminal equipment acquires the current water purification rate of the water purification device;
if the current water purification rate is smaller than the first water purification rate, the terminal equipment acquires the impurity density of the river water of the target river channel;
the terminal equipment acquires a second water purification rate of the water purification device according to the impurity density and the water flow speed;
and the terminal equipment determines the second water purification rate as the current water purification rate of the water purification device.
With reference to the first aspect, in one possible implementation manner, the method further includes:
the terminal equipment acquires the state grade of the target state;
if the state grade is higher than a preset state grade, the terminal equipment generates alarm information;
and the terminal equipment sends the alarm information to a server.
A second aspect of the embodiments of the present application provides a method for purifying water in a river, which is applied to a terminal device, the terminal device includes a biological filter dam, the biological filter dam at least further includes a camera and a water purifying device, the method includes:
receiving a first image sent by the camera;
determining a target state of the target river channel according to the first image, and generating a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state;
and sending the water purification instruction to the water purification device, wherein the water purification instruction instructs the water purification device to purify the water quality of the target river channel to obtain a purification result.
With reference to the second aspect, in one possible implementation manner, the determining a target state of the target river according to the first image includes:
determining floater information of the target river channel and river water color of the target river channel according to the first image, wherein the floater information comprises floaters and the number of the first floaters;
determining a first reference state of the target river channel according to the floating objects and the first floating object quantity;
determining a second reference state of the target river channel according to the river water color;
and determining the target state according to the first reference state and the second reference state.
With reference to the second aspect, in one possible implementation manner, the determining a first reference state of the target river according to the floats and the first number of floats includes:
determining the category of the floating object to obtain at least one target category;
acquiring a reference state score value corresponding to the at least one target category;
determining a grade correction value according to the number of the first floating objects;
and determining the first reference state according to the reference state scoring value and the scoring modification value.
A third aspect of the embodiments of the present application provides a terminal, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the step instructions in the second aspect of the embodiments of the present application.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform some or all of the steps as described in the second aspect of embodiments of the present application.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps as described in the second aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has at least the following beneficial effects:
the camera acquires a first image of a target river channel, the terminal equipment determines a target state of the target river channel according to the first image, and if the target state is a preset state, a water purification instruction is generated, the preset state comprises a pollution state, and the water purification device purifies water in the target river channel according to the water purification instruction to obtain a purification result.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic plan view of a biological filter material dam according to an embodiment of the present disclosure;
fig. 1B is a schematic cross-sectional structure diagram of a biological filter material dam according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a method for purifying river water according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to better understand the method for purifying river water provided by the embodiments of the present application, a description will be first given below of a biological filter material dam.
Referring to fig. 1A and fig. 1B, fig. 1A is a schematic plan view of a biological filter material dam provided in an embodiment of the present application, and fig. 1B is a schematic cross-sectional view of the biological filter material dam provided in the embodiment of the present application. This biological filter material dam includes floater filter equipment and biological filter material dam, wherein:
the floater filtering device and the biological filter material dam are sequentially arranged along the water flow direction;
the floater filtering device is used for filtering floaters in the river water;
and the biological filter material dam is used for purifying the river water filtered by the floater filtering device.
This biological filter material dam includes floater filter equipment and biological filter material dam, wherein: the floater filtering device and the biological filter material dam are sequentially arranged along the water flow direction; the floater filtering device is used for filtering floaters in the river water; and the biological filter material dam is used for purifying the river water filtered by the floater filtering device. Adopt this application embodiment can realize filtration, the purification of river of floater, play slow stream, sand stabilization, fall the effect of silt.
Float filter equipment and include a plurality of buoyant device, liftable trash device and a plurality of first stake, wherein:
the number of the plurality of buoyancy devices is less than the number of the plurality of first timber piles;
the plurality of buoyancy devices, the liftable trash holding device and the plurality of first timber piles are sequentially arranged along the water flow direction;
the buoyancy devices are used for assisting the lifting trash holding device to complete lifting;
the liftable trash blocking device is used for blocking floating objects in river water;
a plurality of first pegs for fixing a plurality of buoyancy devices and liftable trash holding devices.
The buoyancy device may be made of sponge, or may be made of buoyant plastic, or may be made of sponge and buoyant plastic, which is not limited herein.
Wherein, a plurality of first pegs all are perpendicular with the surface of water and are fixed in the riverbed bottom.
In some possible embodiments, the floating filtration device further comprises a plurality of lashes, wherein:
the quantity of the plurality of bound first timber piles is the same as that of the plurality of first timber piles, and the bound first timber piles correspond to the bound second timber piles one by one;
and one part of the plurality of lashings is used for fixing the liftable trash holding devices on the first timber piles in one-to-one correspondence with the liftable trash holding devices, and the other part of the lashings is used for fixing the plurality of buoyancy devices and the liftable trash holding devices on the first timber piles in one-to-one correspondence with the liftable trash holding devices.
The distance of the liftable trash holding device above the water surface is a first preset distance, and the distance below the water surface is a second preset distance.
The first preset distance and the second preset distance may be the same or different, and are not limited herein.
Wherein the first preset distance may be 50 cm.
Biological filter material dam includes filtration adsorption equipment, a plurality of wooden baffle and a plurality of second stake, wherein:
the number of the plurality of wood baffles is greater than that of the plurality of second wood piles;
the filtering and adsorbing device, the plurality of wood baffles and the plurality of second wood piles are sequentially arranged along the water flow direction;
the filtering and adsorbing device is used for filtering and adsorbing impurities of the river water filtered by the floater filtering device;
the wood baffles are used for reinforcing the biological filter material dam;
and the second wood piles are used for fixing the filtering and adsorbing device and the wood baffles and reinforcing the biological filter material dam.
Wherein, the filtering and adsorbing device is composed of one or more of coke, natural zeolite, iron powder, yellow sand, coal cinder and active carbon.
Wherein, a plurality of second pegs all are perpendicular with the surface of water and are fixed in the riverbed bottom.
Biological filter material dam still includes a plurality of wooden backup pads, wherein:
the number of the plurality of wood support plates is less than that of the plurality of second wood piles;
the wood support plates are arranged at intervals along a target direction and are parallel to the water surface, and the target direction is vertical to the water flow direction;
and the wood support plates are used for reinforcing the biological filter material dam.
The biological filter material dam is further reinforced through the wood support plates, and the cost for maintaining the biological filter material dam is reduced.
Any four adjacent wooden baffles in the plurality of wooden baffles are parallel to each other and are vertical to each other.
In some possible embodiments, the distance between the floating filter device and the biological filter dam is greater than or equal to a third predetermined distance.
The third preset distance may be 100cm or 150cm, which is not limited herein.
Because there is certain distance between floater filter equipment and the biological filter material dam, consequently play bigger slow flow effect to a certain extent.
The float filtering device comprises two bottom end portions and a middle portion, wherein:
the two bottom end parts are arranged in an arc shape, and the opening direction is opposite to the water flow direction;
the middle part is arranged in a V shape, and the opening direction is the same as the water flow direction;
the biological filter material dam is arranged in a V shape, and the opening direction of the biological filter material dam is the same as the water flow direction.
Wherein, two bottom end parts and the river bank form two floating object collecting areas, and the two floating object collecting areas correspond to the two bottom end parts one to one.
The pollution cleaner can directly clean the floaters in the river water from the floaters collecting area, and the cleaning efficiency of the floaters is greatly improved.
A plurality of wood supporting plates are arranged between two sides of the biological filter material dam.
The biological filter material dam is further reinforced through the wood support plates, and the cost for maintaining the biological filter material dam is further reduced.
The liftable trash blocking device is made of iron sheets. The liftable trash holding device is made of iron sheets, so that the durability of the liftable trash holding device and the efficiency of holding up floating objects are improved.
Referring to fig. 2, fig. 2 is a schematic flow chart of a river water purification method according to an embodiment of the present application. As shown in fig. 2, the method for purifying river water is applied to a biological filter material dam, the biological filter material dam at least comprises a camera, a terminal device and a water purifying device, and the method comprises the following steps:
201. the camera acquires a first image of a target river channel.
The target river can be understood as a river needing sewage detection and purification, and can also be any other river, such as a river in a city, a river in the field, and the like.
202. The terminal equipment determines a target state of the target river channel according to the first image, and generates a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state.
The target state can be used for judging the condition that the target river channel is polluted, for example, when the target state is a preset state (pollution state), the target river channel is polluted, and if the target state is a state other than the preset state, the target river channel can be judged to be not polluted. The water purification instruction is used for instructing the water purification device to purify the river water of the target river channel.
203. And the water purifying device purifies the water quality of the target river channel according to the water purifying instruction to obtain a purification result.
The purification treatment of the water in the target river may be, for example, filtering the river water in the river to remove floating materials in the river, or performing a microbial filtration treatment of the river to decompose pollutants in the river by microorganisms to achieve the effect of purifying the water. Of course, other water purification methods, such as chemical water purification, etc., are also possible. And is not particularly limited herein.
In this example, a first image of a target river channel is acquired through the camera, the terminal device determines a target state of the target river channel according to the first image, and if the target state is a preset state, a water purification instruction is generated, the preset state includes a pollution state, and the water purification device purifies the water quality of the target river channel according to the water purification instruction to obtain a purification result.
In a possible implementation manner, the determining, by the terminal device, a target state of the target river according to the first image includes:
a1, the terminal equipment determines the floating object information of the target river channel and the river water color of the target river channel according to the first image, wherein the floating object information comprises floating objects and the number of the first floating objects;
a2, the terminal equipment determines a first reference state of the target river channel according to the floating objects and the first floating object quantity;
a3, the terminal equipment determines a second reference state of the target river channel according to the river water color;
a4, the terminal device determines the target state according to the first reference state and the second reference state.
Performing feature extraction on the first image to obtain feature data; and determining the floating object information and the river water color according to the characteristic data. The feature data may be, for example, a gray value, an RGB value, or the like. The contour of the floating object can be determined according to the gray value, and the information of the floating object is determined according to the contour; river color can be determined from the RGB values.
The state score value may be determined according to the category of the float and revised according to a first float quantity determination correction value to obtain a first reference state.
Different river water colors correspond to different second reference states, different river water colors can determine that the river water is in different pollution states, and the second reference states can be determined according to the river water colors.
A neutral state of the first reference state and the second reference state may be determined as the target state, and the neutral state may be understood as an average state of the first reference state and the second reference state. The reference state close to the preset state in the first reference state and the second reference state may also be determined as the target state.
In the example, the second reference state is determined according to the color of river water, the first reference state is determined according to the floating objects and the number of the floating objects, and the target state is determined according to the first reference state and the second reference state, so that the accuracy in determining the target state is improved.
In one possible implementation manner, the determining, by the terminal device, a first reference state of the target river according to the floats and the first number of floats includes:
b1, the terminal equipment determines the category of the floating object to obtain at least one target category;
b2, the terminal equipment acquires a reference state score value corresponding to the at least one target category;
b3, the terminal equipment determines a grading correction value according to the first floater number;
and B4, the terminal equipment determines the first reference state according to the reference state scoring value and the scoring modification value.
The floater has a plurality of categories, and each category comprises at least one floater, so that at least one category of the floater of the target river channel can be determined. Since there may be a plurality of types of floating objects in the target river, the types may be a plurality of types, and so on.
Different target categories correspond to different state scores, for example, if the floater is a pollutant, the state score is higher, and if the floater is common household garbage, the score is lower, and specifically, the score can be given according to the pollution degree, wherein the higher the pollution degree is, the higher the reference state score is, the higher the pollution degree is, and the lower the reference state score is.
The higher the number of the first floats is, the larger the score correction value is, and the smaller the number of the first floats is, the smaller the score correction value is, and the value range of the correction value is (0, 1).
And determining the product of the mean value of the reference state score values and the score correction value as a score value corresponding to the first reference state score, and determining the first reference state according to the score value. And if different reference states correspond to different scoring value intervals, determining a first reference state according to the scoring values.
In this example, the score value of the reference state is revised by the score correction value determined by the number of the floats, and the first reference state is determined according to the revised value, so that the accuracy in determining the first reference state is improved.
In one possible implementation, the method for purifying river water further comprises:
c1, the terminal equipment acquires the water flow speed of the target river channel;
c2, the terminal equipment determines the second floating object quantity of the floating objects reaching the water purifying device according to the water flow speed;
c3, the terminal equipment determines a first water purification rate according to the quantity of the second floating objects;
c4, the terminal equipment acquires the current water purifying rate of the water purifying device;
c5, if the current water purification rate is smaller than the first water purification rate, the terminal equipment obtains the impurity density of the river water of the target river channel;
c6, the terminal equipment obtains a second water purification rate of the water purification device according to the impurity density and the water flow speed;
and C7, the terminal equipment determines the second water purification rate as the current water purification rate of the water purification device.
The larger the number of floats, the higher the water purification rate, and the smaller the number of floats, the smaller the water purification rate. The first water purification rate can be determined according to the above relation.
The higher the impurity density is, the higher the second water purification rate is, and the lower the impurity density is, the lower the second water purification rate is; the greater the water flow rate, the higher the second water purification rate, and the smaller the water flow rate, the lower the second water purification rate.
In this example, when the first water purification rate is greater than the current water purification rate of the water purification device, the second water purification rate is determined according to the impurity density and the water flow rate, and the second water purification rate is determined as the current water purification rate of the water purification device, so that the efficiency of the water purification device in purifying water is improved.
In one possible implementation, the method further includes:
d1, the terminal equipment acquires the state grade of the target state;
d2, if the state level is higher than a preset state level, the terminal equipment generates alarm information;
d3, the terminal equipment sends the alarm information to a server.
And if different states have different state grades, the state grade corresponding to the target state can be determined. The warning information may be a voice warning information, a text warning information, or the like, and is not limited in detail here.
In a possible implementation manner, before the terminal device sends the alarm information to the server, the method may further include the following steps:
e1, acquiring a first fingerprint image;
e2, dividing the first fingerprint image into a plurality of areas;
e3, determining the distribution density of the feature points of each of the multiple regions to obtain a feature point distribution density set, wherein each region corresponds to one feature point distribution density;
e4, determining a target mean value and a target mean square error corresponding to the feature point distribution density set;
e5, determining a target image enhancement algorithm corresponding to the target average value according to the mapping relation between the preset average value and the image enhancement algorithm;
e6, determining a target fine tuning coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the fine tuning coefficient;
e7, adjusting the algorithm control parameters of the target image enhancement algorithm according to the target fine adjustment coefficients to obtain target algorithm control parameters;
e8, carrying out image enhancement processing on the first fingerprint image according to the target algorithm control parameter and the target image enhancement algorithm to obtain a second fingerprint image;
e9, matching the second fingerprint image with a preset fingerprint template;
e10, when the second fingerprint image is successfully matched with the preset fingerprint template, executing the step of sending the alarm information.
The first fingerprint image can be a fingerprint image of a system administrator or other users who can operate the sewage management system.
In the embodiment of the application, the preset fingerprint template can be pre-stored in the electronic device. In specific implementation, the electronic device may acquire the first fingerprint image, and further, the first fingerprint image may be divided into a plurality of regions, the size of each region in the plurality of regions is within a preset area range, the size of each region in the plurality of regions may be the same or different, and the preset area range may be set by a user or default to a system.
Further, the electronic device may determine a feature point distribution density of each of the plurality of regions to obtain a feature point distribution density set, where the feature point distribution density set includes a plurality of feature point distribution densities, and each region corresponds to one feature point distribution density, that is, the number of feature points of each of the plurality of regions and a corresponding region area may be determined, and a ratio between the number of feature points and the corresponding region area is used as the feature point distribution density. The electronic device may determine a target average value and a target mean square error corresponding to the feature point distribution density set, that is, the target average value is the total number of feature points/the number of regions corresponding to the feature point distribution density set, and may determine the target mean square error corresponding to the feature point distribution density set based on the target average value and the feature point distribution density set.
In addition, in this embodiment of the application, the image enhancement algorithm may be at least one of the following: histogram equalization, wavelet transformation, gray stretching, Retinex algorithm, etc., without limitation. Each image enhancement algorithm corresponds to an algorithm control parameter, and the algorithm control algorithm is used for controlling the image enhancement degree. The electronic device may pre-store a mapping relationship between a preset average value and an image enhancement algorithm, and a mapping relationship between a preset mean square error and a fine tuning coefficient. The average value reflects the overall characteristics of the image, and the mean square error reflects the relevance between the regions, so that the corresponding image enhancement algorithm and the corresponding algorithm control parameters can be selected by combining the overall characteristics and the regional relevance of the image, and the image enhancement efficiency is favorably improved, namely the quality of the fingerprint image is improved.
Furthermore, the electronic device may determine a target image enhancement algorithm corresponding to the target average value according to a mapping relationship between a preset average value and an image enhancement algorithm, and may determine a target fine-tuning coefficient corresponding to the target mean-square error according to a mapping relationship between a preset mean-square error and a fine-tuning coefficient, and then, the electronic device may adjust an algorithm control parameter of the target image enhancement algorithm according to the target fine-tuning coefficient to obtain a target algorithm control parameter, and perform an image enhancement process on the first fingerprint image according to the target algorithm control parameter and the target image enhancement algorithm to obtain a second fingerprint image, and further, since the second fingerprint image has been subjected to the image enhancement process, the electronic device may match the second fingerprint image with the preset fingerprint template, and perform the step of obtaining the data transmission request when the second fingerprint image is successfully matched with the preset fingerprint template, otherwise, the user can be prompted to continue inputting the fingerprint image, and therefore the fingerprint identification efficiency can be improved.
Optionally, this scheme can also be discerned the pedestrian, if the pedestrian is patient, and contain the material that this patient can not absorb in the sewage, then need indicate this patient to make this patient avoid passing through this contaminated river course, then can carry out the analysis to pedestrian's action, whether it is corresponding patient etc. and carry out the early warning, specifically include following step:
f1, acquiring a target image, wherein the target image comprises a first target;
f2, performing target extraction on the target image to obtain a target area;
f3, performing behavior analysis on the target region to obtain a first behavior parameter set, where the first behavior parameter set includes: a behavior type and behavior parameters, the behavior parameters including at least a behavior recognition accuracy;
f4, carrying out face extraction on the target area to obtain a target face;
f5, determining the target definition of the target face, and determining a first reference weight corresponding to the target definition;
f6, determining a second reference weight corresponding to the behavior recognition precision;
f7, determining a target first weight and a target second weight according to the first reference weight and the second reference weight, wherein the target first weight is a face recognition weight, and the target second weight is a behavior recognition weight.
F9, acquiring a second behavior parameter set of the target object and a preset face template;
f10, comparing the first behavior parameter set with the second behavior parameter set to obtain a first comparison value;
f11, comparing the target face with the preset face template to obtain a second comparison value;
f12, performing weighted operation according to the first comparison value, the second comparison value, the target first weight and the target second weight to obtain a target comparison value;
f13, when the target comparison value is larger than a preset comparison value, determining that the target object is successfully compared with the first target.
F14, if the comparison is successful, sending alarm information to the target object.
In a specific implementation, the preset comparison value may be set by a user or default by the system, and the second behavior parameter set of the target object and the preset face template may be stored in the system in advance.
Specifically, the aquaculture sewage treatment device may acquire a target image, where the target image includes a first target, perform target extraction on the target image to obtain a target area, and perform behavior analysis on the target area to obtain a first behavior parameter set, where the first behavior parameter set may include at least one of: the behavior type and the behavior parameter, the behavior parameter at least includes the behavior recognition accuracy, and the behavior type may be at least one of the following: call, chat, head lowering, running, etc., without limitation. The behavior parameters may include the accuracy of behavior recognition, the number of key points for behavior recognition, the location of key points, and the like, which are not limited herein.
Further, the aquaculture sewage treatment device can extract the face of the target area to obtain the target face, can also determine the target definition of the target face, and determine a first reference weight corresponding to the target definition, specifically can preset a mapping relation between the definition and the reference weight, and can determine the first reference weight corresponding to the target definition according to the mapping relation. Next, a target first weight and a target second weight may be determined according to the first reference weight and the second reference weight, where the target first weight is a face recognition weight and the target second weight is a behavior recognition weight
The first target weight is the first reference weight/(the first reference weight + the second reference weight)
The second target weight is the second reference weight/(the first reference weight + the second reference weight)
Furthermore, the aquaculture sewage treatment device can acquire a second behavior parameter set and a preset face template of the target object, compare the first behavior parameter set with the second behavior parameter set to obtain a first comparison value, compare the target face with the preset face template to obtain a second comparison value, further perform weighting operation according to the first comparison value, the second comparison value, the target first weight and the target second weight to obtain a target comparison value, and when the target comparison value is greater than the preset comparison value, determine that the target object is successfully compared with the first target, otherwise, determine that the comparison fails, so that double figure recognition according to behavior and the face can be realized, and the figure recognition precision can be improved.
In accordance with the foregoing embodiments, please refer to fig. 3, fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present application, and as shown in the drawing, the terminal includes a processor, an input device, an output device, and a memory, and the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to call the program instructions, and the program includes instructions for performing the following steps;
receiving a first image sent by the camera;
determining a target state of the target river channel according to the first image, and generating a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state;
and sending the water purification instruction to the water purification device, wherein the water purification instruction instructs the water purification device to purify the water quality of the target river channel to obtain a purification result.
In one possible implementation manner, the determining a target state of the target river according to the first image includes:
determining floater information of the target river channel and river water color of the target river channel according to the first image, wherein the floater information comprises floaters and the number of the first floaters;
determining a first reference state of the target river channel according to the floating objects and the first floating object quantity;
determining a second reference state of the target river channel according to the river water color;
and determining the target state according to the first reference state and the second reference state.
In one possible implementation manner, the determining a first reference state of the target river according to the floats and the first number of floats includes:
determining the category of the floating object to obtain at least one target category;
acquiring a reference state score value corresponding to the at least one target category;
determining a grade correction value according to the number of the first floating objects;
and determining the first reference state according to the reference state scoring value and the scoring modification value.
The terminal is also used for executing the following method:
acquiring the water flow speed of the target river channel;
determining the number of second floaters of the floaters reaching the water purifying device according to the water flow speed;
determining a first water purification rate according to the second floater amount;
acquiring the current water purification rate of the water purification device;
if the current water purification rate is smaller than the first water purification rate, acquiring the impurity density of the river water of the target river channel;
acquiring a second water purification rate of the water purification device according to the impurity density and the water flow speed;
and determining the second water purification rate as the current water purification rate of the water purification device.
The terminal device is also used for executing the following method:
acquiring the state grade of the target state;
if the state grade is higher than a preset state grade, generating alarm information;
and sending the alarm information to a server.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the river inrush water purification methods as described in the above method embodiments.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program causing a computer to perform some or all of the steps of any one of the river water purification methods as described in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. The river water purification method is characterized by being applied to a biological filter material dam, wherein the biological filter material dam at least comprises a camera, terminal equipment and a water purification device, and the method comprises the following steps:
the camera acquires a first image of a target river channel;
the terminal equipment determines a target state of the target river channel according to the first image, and generates a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state;
and the water purifying device purifies the water quality of the target river channel according to the water purifying instruction to obtain a purification result.
2. The method according to claim 1, wherein the terminal device determines a target state of the target river channel according to the first image, and comprises:
the terminal equipment determines floater information of the target river channel and river water color of the target river channel according to the first image, wherein the floater information comprises floaters and the number of the first floaters;
the terminal equipment determines a first reference state of the target river channel according to the floating objects and the first floating object quantity;
the terminal equipment determines a second reference state of the target river channel according to the river water color;
and the terminal equipment determines the target state according to the first reference state and the second reference state.
3. The method according to claim 2, wherein the terminal device determines a first reference state of the target river channel according to the floats and the first number of floats, and comprises:
the terminal equipment determines the category of the floating object to obtain at least one target category;
the terminal equipment acquires a reference state score value corresponding to the at least one target category;
the terminal equipment determines a grading correction value according to the number of the first floats;
and the terminal equipment determines the first reference state according to the reference state score value and the score correction value.
4. A method according to claim 2 or 3, characterized in that the method further comprises:
the terminal equipment acquires the water flow speed of the target river channel;
the terminal equipment determines the number of second floating objects reaching the water purifying device according to the water flow speed;
the terminal equipment determines a first water purification rate according to the quantity of the second floating objects;
the terminal equipment acquires the current water purification rate of the water purification device;
if the current water purification rate is smaller than the first water purification rate, the terminal equipment acquires the impurity density of the river water of the target river channel;
the terminal equipment acquires a second water purification rate of the water purification device according to the impurity density and the water flow speed;
and the terminal equipment determines the second water purification rate as the current water purification rate of the water purification device.
5. The method of claim 4, further comprising:
the terminal equipment acquires the state grade of the target state;
if the state grade is higher than a preset state grade, the terminal equipment generates alarm information;
and the terminal equipment sends the alarm information to a server.
6. The river water purification method is characterized by being applied to terminal equipment, wherein the terminal equipment is applied to a biological filter material dam, the biological filter material dam at least comprises a camera and a water purification device, and the method comprises the following steps:
receiving a first image sent by the camera;
determining a target state of the target river channel according to the first image, and generating a water purification instruction if the target state is a preset state, wherein the preset state comprises a pollution state;
and sending the water purification instruction to the water purification device, wherein the water purification instruction instructs the water purification device to purify the water quality of the target river channel to obtain a purification result.
7. The method of claim 6, wherein determining the target state of the target river from the first image comprises:
determining floater information of the target river channel and river water color of the target river channel according to the first image, wherein the floater information comprises floaters and the number of the first floaters;
determining a first reference state of the target river channel according to the floating objects and the first floating object quantity;
determining a second reference state of the target river channel according to the river water color;
and determining the target state according to the first reference state and the second reference state.
8. The method of claim 7, wherein said determining a first reference condition of the target waterway based on the floats and the first float quantity comprises:
determining the category of the floating object to obtain at least one target category;
acquiring a reference state score value corresponding to the at least one target category;
determining a grade correction value according to the number of the first floating objects;
and determining the first reference state according to the reference state scoring value and the scoring modification value.
9. A terminal, comprising a processor, an input device, an output device, and a memory, the processor, the input device, the output device, and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 6-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 6-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010961378.3A CN112142213A (en) | 2020-09-14 | 2020-09-14 | River water purification method and related device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010961378.3A CN112142213A (en) | 2020-09-14 | 2020-09-14 | River water purification method and related device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112142213A true CN112142213A (en) | 2020-12-29 |
Family
ID=73892737
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010961378.3A Pending CN112142213A (en) | 2020-09-14 | 2020-09-14 | River water purification method and related device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112142213A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006132289A1 (en) * | 2005-06-10 | 2006-12-14 | Hirata Corporation | Filtrate water monitoring device and filtrate water monitoring system |
| CN205241365U (en) * | 2015-11-17 | 2016-05-18 | 广州市戴斌生态环境科技有限公司 | Be applied to biological dam in riverway sewage improvement |
| CN106049389A (en) * | 2016-07-12 | 2016-10-26 | 珠江水利委员会珠江水利科学研究院 | Trash-cleaning system based on image identification |
| CN106830353A (en) * | 2017-01-18 | 2017-06-13 | 亿利生态修复股份有限公司 | Water pollution processing method and equipment |
| CN107911650A (en) * | 2017-11-01 | 2018-04-13 | 炜呈智能电力科技（杭州）有限公司 | Intelligent watercourse monitoring system |
| CN109242861A (en) * | 2018-08-23 | 2019-01-18 | 成都信息工程大学 | A kind of monitoring water quality method based on image procossing |
| CN110298640A (en) * | 2019-08-05 | 2019-10-01 | 软通动力信息技术有限公司 | A kind of lake information management system |
| CN110565593A (en) * | 2019-09-06 | 2019-12-13 | 北京中铁生态环境设计院有限公司 | ecological water purification dam |
-
2020
- 2020-09-14 CN CN202010961378.3A patent/CN112142213A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006132289A1 (en) * | 2005-06-10 | 2006-12-14 | Hirata Corporation | Filtrate water monitoring device and filtrate water monitoring system |
| CN205241365U (en) * | 2015-11-17 | 2016-05-18 | 广州市戴斌生态环境科技有限公司 | Be applied to biological dam in riverway sewage improvement |
| CN106049389A (en) * | 2016-07-12 | 2016-10-26 | 珠江水利委员会珠江水利科学研究院 | Trash-cleaning system based on image identification |
| CN106830353A (en) * | 2017-01-18 | 2017-06-13 | 亿利生态修复股份有限公司 | Water pollution processing method and equipment |
| CN107911650A (en) * | 2017-11-01 | 2018-04-13 | 炜呈智能电力科技（杭州）有限公司 | Intelligent watercourse monitoring system |
| CN109242861A (en) * | 2018-08-23 | 2019-01-18 | 成都信息工程大学 | A kind of monitoring water quality method based on image procossing |
| CN110298640A (en) * | 2019-08-05 | 2019-10-01 | 软通动力信息技术有限公司 | A kind of lake information management system |
| CN110565593A (en) * | 2019-09-06 | 2019-12-13 | 北京中铁生态环境设计院有限公司 | ecological water purification dam |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2008100088A (en) | METHOD AND SYSTEM OF ADAPTIVE REFORMATION OF DIGITAL IMAGES | |
| CN112142213A (en) | River water purification method and related device | |
| CN115082721A (en) | Pressure control method for air-float decontamination of oil-containing sewage | |
| CN110607836A (en) | Method for designing primary rainwater storage tank of plain city based on pollutant characteristics | |
| CN113896356B (en) | Wastewater treatment system and method for building construction | |
| Hahn | A proposal for an extended typology of groundwater habitats | |
| CN117049746B (en) | Emulsion wastewater treatment system and method | |
| CN112668591A (en) | Intelligent river water burst treatment method and related device | |
| JP5010848B2 (en) | Sewage treatment plant and its control device | |
| CN117492419A (en) | Sewage treatment plant process adjusting system, method and medium | |
| Rabeni et al. | BENTHIC INVERTEBRATE RESPONSE TO POLLUTION ABATEMENT: STRUCTURAL CHANGES AND FUNCTIONAL IMPLICATIONS 1 | |
| Morrison-Saunders | Environmental impact assessment as a tool for on going environmental management | |
| Jørgensen et al. | Ecological modelling and engineering of lakes and wetlands | |
| CN112069999A (en) | Intelligent black and odorous water treatment method and related device | |
| CN111994977A (en) | Cultivation sewage treatment method and related device | |
| Qasaimeh et al. | GA-fuzzy decision support system for mercury removal in natural waters | |
| Herborg et al. | Identifying suitable habitat for invasive species using ecological niche models and the policy implications of range forecasts | |
| Mazur | Lakes restoration: analysis of terminology incorrectly used in the scientific literature. | |
| Balazinski et al. | Investigation of constructed wetlands efficiency in mercury removal using genetically generated fuzzy knowledge bases | |
| CN110245804B (en) | Method and device for screening wastewater pollutants in area and monomer optimal control characteristics of area | |
| Simon et al. | Lecture notes in control and information sciences | |
| Muishout | The Hydrological Effect of Urban Nature-based Solutions on Catchment Scale: A Case Study in the Geul Catchment | |
| Wilson | Estuarine management and quality assessment | |
| Chipofya et al. | Evaluation of case-based design principles in the design of Soche wastewater treatment plant, Blantyre, Malawi | |
| Kok | Wet-weather flow management in the Great Lakes areas of concern |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201229 |
|
| RJ01 | Rejection of invention patent application after publication |