CN115392693A - Water resource scheduling early warning device and method based on Internet of things - Google Patents
Water resource scheduling early warning device and method based on Internet of things Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/22—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water
- G01F23/28—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm by measuring physical variables, other than linear dimensions, pressure or weight, dependent on the level to be measured, e.g. by difference of heat transfer of steam or water by measuring the variations of parameters of electromagnetic or acoustic waves applied directly to the liquid or fluent solid material
- G01F23/296—Acoustic waves
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/14—Rainfall or precipitation gauges
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/35—Utilities, e.g. electricity, gas or water
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/30—Control
- G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
Abstract
The invention relates to the technical field of water resource scheduling early warning, and discloses a water resource scheduling early warning device based on the Internet of things, which comprises a floating plate, wherein a water resource monitoring mechanism is arranged at the top of the floating plate; the water resource monitoring mechanism comprises a fixed shell, an industrial control computer, an ultrasonic sounding probe, a motor shaft, a rotating rod, a waterproof motor, a motor shaft and a propeller; the ultrasonic sounding device is characterized in that the top of the floating plate is in bolted connection with a fixed shell, the middle of the front side of the fixed shell is in bolted connection with an industrial control computer, and two sides of the bottom of the floating plate are in bolted connection with ultrasonic sounding probes. According to the invention, through detecting the depth of the water resource, detecting the rainfall and detecting the evaporation capacity of the water surface in each water area, and transmitting the detected data to the dispatching master control center, after the transmission of the depth data of the water resource is completed, each water resource area can be layered, and compared with the traditional modeling of the point, line and surface of the water resource, the layered modeling speed is faster.
Description
Technical Field
The invention relates to the technical field of water resource scheduling early warning, in particular to a water resource scheduling early warning device and method based on the Internet of things.
Background
The shortage of water resources is a main factor for restricting the development of the economy and the society of the region. Therefore, cross-industry and cross-disciplinary joint attack and application research on water resources is urgently needed, natural attributes and social attributes of water resource evolution are considered at the same time, a dynamic water circulation process is comprehensively researched, and a set of water resource information utilization theory, technology and management method suitable for regional economic sustainable development is established.
Patent number CN201710651587.6 discloses a water resource scheduling method, and relates to the field of water resources. The method comprises the following steps: determining the water amount to be dispatched of an ecological water using area and an agricultural water using area in each irrigation area; determining the water quantity to be scheduled of the domestic water areas in each irrigation area; meanwhile, the wastewater in the domestic water area is collected after being recycled, so that the reusable water quantity of the domestic water area is obtained; determining the water quantity to be dispatched of an industrial water area in each irrigation area; meanwhile, the wastewater in the industrial water area is collected after recovery treatment, so that the reusable water quantity of the industrial water area is obtained; adjusting the water quantity to be dispatched of an ecological water area and an agricultural water area in the corresponding irrigation areas according to the reusable water quantity of the domestic water area and the reusable water quantity of the industrial water area; and determining the optimal scheduling scheme of the water resource system by adopting a multi-objective decision method based on combined weight. The invention integrates the thinning water-using area and the waste water reutilization into the optimal scheduling scheme of the water resource system, thereby improving the reasonable distribution of the water resource and the effective utilization of the water resource.
At present, in the process of water resource scheduling, all be the establishment model, carry out the dispatch of water resource according to the model, however, current dispatch model data is various, need establish the data model of water resource point, line, face, the data processing speed that leads to the model is slower, it is also more loaded down with trivial details to watch, can't carry out quick early warning to water resource scheduling, simultaneously, according to current rainfall and evaporation capacity analysis dispatch water resource inaccurate, there is discrepancy in actual rainfall and the rainfall of prediction, unable accurate quick discernment rainfall carries out water resource scheduling.
Disclosure of Invention
The invention aims to provide a water resource scheduling early warning device and method based on the Internet of things, and solves the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a water resource scheduling early warning device based on the Internet of things comprises a floating plate, wherein a water resource monitoring mechanism is arranged at the top of the floating plate;
the water resource monitoring mechanism comprises a fixed shell, an industrial control computer, an ultrasonic sounding probe, a motor shaft, a rotating rod, a waterproof motor, a motor shaft and a propeller; the top of the floating plate is connected with a fixed shell through a bolt, the middle part of the front side of the fixed shell is connected with an industrial control computer through a bolt, and two sides of the bottom of the floating plate are connected with ultrasonic sounding probes through bolts;
the novel multifunctional electric water heater is characterized in that a storage battery is connected to the top end of the interior of the fixed shell through bolts, the bottom of the storage battery is connected with a motor through bolts, the bottom of the motor is connected with a motor shaft, the bottom of the motor shaft penetrates through a rotating rod fixedly connected with a floating plate, a waterproof motor is connected to the bottom of the rotating rod through bolts, a motor shaft is connected to the front side of the waterproof motor, and a propeller is fixedly connected to the front side of the motor shaft.
In a preferred embodiment of the present invention, an evaporation sensor is bolted to one side of the top of the fixed casing.
In a preferred embodiment of the present invention, a rainfall sensor is bolted to the other side of the top of the fixed casing.
In a preferred embodiment of the present invention, the top of the floating plate is bolted with a photovoltaic solar panel, and the photovoltaic solar panel is electrically connected with the storage battery.
As a preferred embodiment of the present invention, a photovoltaic converter is connected between the photovoltaic solar panel and the storage battery.
As a preferred embodiment of the invention, the middle part of the top end of the fixed shell is connected with an internet of things communication module through a bolt, and a camera is embedded and fixed at the top of the front side of the fixed shell.
As a preferred embodiment of the present invention, the signal output terminals of the ultrasonic depth sounding probe, the evaporation sensor, the camera and the rainfall sensor are connected to the signal input terminal of an industrial computer, and the signal output terminal of the industrial computer is connected to the signal input terminals of the motor, the waterproof motor and the communication module of the internet of things.
As a preferred embodiment of the present invention, a water resource scheduling early warning device based on the internet of things is used, and the water resource scheduling early warning method based on the internet of things comprises the following steps:
the method comprises the following steps: firstly, putting a water resource scheduling early warning device into each water area, detecting the depth of the water resource, detecting rainfall and detecting the evaporation capacity of the water surface in each water area, transmitting the detected data to a scheduling master control center, and after the transmission of the depth data of the water resource is finished, unifying the layer distance standard by the scheduling master control center according to the depth data of the water resource, and carrying out pyramid modeling layering on each water resource area;
step two: after water resources are layered, the layered data of each water resource area is input into a convolutional neural network, a water resource layered model is established by using the convolutional neural network, and when the layered data in the areas are reduced, the reduction of the number of layers can be visually seen, so that early warning can be performed on water resource scheduling;
step three: because the size of the predicted rainfall and the actual rainfall come in and go out, a pre-analysis scheduling model is established by using a convolutional neural network, a scheduling model of 10% -100% of rainfall in each region is established, different percentage scheduling models are input, different water resource scheduling amounts are input, the actual rainfall and evaporation amount are continuously updated and transmitted through a water resource scheduling early warning device, the actual rainfall can be compared to be the percentage of the predicted rainfall, and after the comparison is completed, the percentage scheduling model is directly used for scheduling water resources;
step four: in the process of scheduling water resources, the ultrasonic sounding sensor at the bottom of the water resource scheduling early warning device can continuously detect the water depth of a water resource area, the water depth data are transmitted to the scheduling control center, the water depth data are continuously corrected, and after the water depth data are matched with the layered model data, the scheduling control center can timely stop scheduling of the water resources and accurately schedule the water resources.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, through detecting the depth of the water resource, detecting the rainfall and detecting the evaporation capacity of the water surface in each water area, and transmitting the detected data to the dispatching master control center, after the transmission of the depth data of the water resource is completed, each water resource area can be layered, compared with the traditional modeling of the point, line and surface of the water resource, the layered modeling speed is faster, the speed of processing the modeling data is increased after the data is processed, and the viewing is more visual.
2. According to the invention, the pre-analysis scheduling model is established by utilizing the convolutional neural network, the scheduling model of 10% -100% of rainfall in each region is established, different percentages of rainfall can be modeled in advance, and after the actual rainfall is measured by the water resource scheduling early warning device, the actual percentage rainfall can be compared with the predicted rainfall, so that the percentage rainfall model is directly called, the corresponding water resource scheduling amount is distributed, and the efficiency and accuracy of water resource scheduling are improved.
3. According to the invention, the ultrasonic depth-finding sensor at the bottom of the water resource scheduling early warning device can continuously detect the water depth of the water resource area, the water depth data is transmitted to the scheduling control center, the water depth data is continuously corrected, and after the water depth data is matched with the layered model data, the scheduling control center can timely stop scheduling of the water resource, so that the scheduling of the water resource is accurately carried out, and the accuracy of water resource scheduling is further improved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic overall structure diagram of a water resource scheduling early warning device based on the Internet of things;
FIG. 2 is a schematic structural diagram of a fixed shell of the water resource scheduling early warning device based on the Internet of things;
fig. 3 is a schematic flow diagram of a water resource scheduling early warning method based on the internet of things.
In the figure: 1. a floating plate; 2. a stationary housing; 3. an industrial control computer; 4. an ultrasonic sounding probe; 5. an evaporation sensor; 6. a rainfall sensor; 7. a photovoltaic solar panel; 8. rotating the rod; 9. a waterproof motor; 10. a motor shaft; 11. a propeller; 12. a storage battery; 13. a motor; 14. a motor shaft; 15. thing networking communication module.
Detailed Description
Referring to fig. 1-3, the present invention provides a technical solution: a water resource scheduling early warning device based on the Internet of things comprises a floating plate 1, wherein a water resource monitoring mechanism is arranged at the top of the floating plate 1;
the water resource monitoring mechanism comprises a fixed shell 2, an industrial personal computer 3, an ultrasonic sounding probe 4, a motor 13, a motor shaft 14, a rotating rod 8, a waterproof motor 9, a motor shaft 10 and a propeller 11; the top of the floating plate 1 is connected with a fixed shell 2 through bolts, the middle part of the front side of the fixed shell 2 is connected with an industrial control computer 3 through bolts, and two sides of the bottom of the floating plate 1 are connected with ultrasonic depth sounding probes 4 through bolts;
the inside top bolted connection of fixed casing 2 has battery 12, battery 12 bottom bolted connection has motor 13, motor 13 bottom is connected with motor shaft 14, 1 fixedly connected with rotary rod 8 of kickboard is passed to motor shaft 14 bottom, 8 bottom bolted connection of rotary rod have waterproof motor 9, waterproof motor 9 front side is connected with motor shaft 10, 10 front side fixedly connected with screws 11 of motor shaft.
In this kind of technical scheme, open waterproof motor 9 earlier, waterproof motor 9 drives motor shaft 10, motor shaft 10 drives screw 11, it removes at the surface of water to drive the device through screw 11, in-process moving, can open motor 13, motor 13 drives motor shaft 14, motor shaft 14 drives rotary rod 8 and waterproof motor 9 is rotatory, adjust the angle of screw 11, thereby adjusting device is at the angle that the surface of water removed, can survey the degree of depth data in the aquatic through ultrasonic wave sounding probe 4, and give industrial computer 3 with data transmission, industrial computer 3 can send data for dispatch control center through thing networking communication module 15.
Referring to fig. 1 in this embodiment, an evaporation sensor 5 is bolted to one side of the top of the fixed housing 2.
In the technical scheme, the evaporation data of the water surface can be measured through the evaporation sensor 5, the data are sent to the industrial personal computer 3, and the industrial personal computer 3 sends the data to the dispatching control center through the internet of things communication module 15.
Referring to fig. 1 in this embodiment, the other side of the top of the fixed casing 2 is bolted with a rainfall sensor 6.
In the technical scheme, rainfall data of the water surface can be measured through the rainfall sensor 6, the data are sent to the industrial personal computer 3, and the industrial personal computer 3 sends the data to the dispatching control center through the internet of things communication module 15.
In the embodiment, referring to fig. 1, the photovoltaic solar panel 7 is bolted to the top of the floating plate 1, and the photovoltaic solar panel 7 is electrically connected to the storage battery 12.
In this solution, the battery 12 can be charged via the photovoltaic solar panel 7.
Referring to fig. 1 in this embodiment, a photovoltaic converter is connected between the photovoltaic solar panel 7 and the storage battery 12.
In this embodiment, referring to fig. 1, the middle of the top end of the fixed casing 2 is connected with an internet of things communication module 15 through a bolt, and a camera is embedded and fixed at the top of the front side of the fixed casing 2.
In the technical scheme, the internet of things communication module 15 can be used for transmitting data to the dispatching control center.
In this embodiment, referring to fig. 1, signal output ends of the ultrasonic depth sounding probe 4, the evaporation sensor 5, the camera and the rainfall sensor 6 are connected to a signal input end of an industrial computer 3, and a signal output end of the industrial computer 3 is connected to signal input ends of a motor 13, a waterproof motor 9 and an internet of things communication module 15.
Referring to fig. 1 in the embodiment, a water resource scheduling early warning device based on the internet of things is utilized, and the water resource scheduling early warning method based on the internet of things comprises the following steps:
the method comprises the following steps: firstly, putting a water resource scheduling early warning device into each water area, detecting the depth of water resource, rainfall and water surface evaporation in each water area, transmitting the detected data to a scheduling master control center, unifying layer distance standard by the scheduling master control center according to the depth data of the water resource after completing the transmission of the water resource depth data, and carrying out pyramid modeling layering on each water resource area;
step two: after water resource layering, inputting layering data of each water resource area into a convolutional neural network, establishing a water resource layering model by using the convolutional neural network, and when the layering data in the areas are reduced, visually seeing the reduction of the number of layers so as to early warn water resource scheduling;
step three: because the size of the predicted rainfall and the actual rainfall come in and go out, a pre-analysis scheduling model is established by using a convolutional neural network, a scheduling model of 10% -100% of rainfall in each region is established, different percentage scheduling models are input, different water resource scheduling amounts are input, the actual rainfall and evaporation amount are continuously updated and transmitted through a water resource scheduling early warning device, the actual rainfall can be compared to be the percentage of the predicted rainfall, and after the comparison is completed, the percentage scheduling model is directly used for scheduling water resources;
step four: in the scheduling process of water resources, the ultrasonic sounding sensor at the bottom of the water resource scheduling early warning device can continuously detect the water depth of a water resource area, the water depth data is transmitted to the scheduling control center, the water depth data is continuously corrected, and after the water depth data is matched with the layered model data, the scheduling control center can timely stop scheduling of the water resources and accurately schedule the water resources.
When the water resource scheduling early warning device and method based on the Internet of things are used, it needs to be explained that the invention relates to the water resource scheduling early warning device and method based on the Internet of things, and the device comprises a floating plate 1; 2. a stationary housing; 3. an industrial control computer; 4. an ultrasonic sounding probe; 5. an evaporation sensor; 6. a rainfall sensor; 7. a photovoltaic solar panel; 8. rotating the rod; 9. a waterproof motor; 10. a motor shaft; 11. a propeller; 12. a storage battery; 13. a motor; 14. a motor shaft; 15. the components of the internet of things communication module are all universal standard components or components known by technicians in the field, and the structure and the principle of the internet of things communication module can be known by the technicians through technical manuals or through conventional experimental methods.
Claims (8)
1. The utility model provides a water resource scheduling early warning device based on thing networking, includes kickboard (1), its characterized in that: a water resource monitoring mechanism is arranged at the top of the floating plate (1);
the water resource monitoring mechanism comprises a fixed shell (2), an industrial personal computer (3), an ultrasonic sounding probe (4), a motor (13), a motor shaft (14), a rotating rod (8), a waterproof motor (9), a motor shaft (10) and a propeller (11); the top of the floating plate (1) is connected with a fixed shell (2) through bolts, the middle part of the front side of the fixed shell (2) is connected with an industrial personal computer (3) through bolts, and two sides of the bottom of the floating plate (1) are connected with ultrasonic sounding probes (4) through bolts;
the utility model discloses a motor, including stationary housing (2), battery (12) bottom bolted connection have motor (13), motor (13) bottom is connected with motor shaft (14), kickboard (1) fixedly connected with rotary rod (8) are passed to motor shaft (14) bottom, rotary rod (8) bottom bolted connection has waterproof motor (9), waterproof motor (9) front side is connected with motor shaft (10), motor shaft (10) front side fixedly connected with screw (11).
2. The water resource scheduling early warning device based on the internet of things as claimed in claim 1, wherein: and an evaporation sensor (5) is connected to one side of the top of the fixed shell (2) through a bolt.
3. The water resource scheduling early warning device based on the internet of things as claimed in claim 1, wherein: and the other side of the top of the fixed shell (2) is connected with a rainfall sensor (6) through a bolt.
4. The water resource scheduling early warning device based on the internet of things as claimed in claim 1, wherein: the photovoltaic solar panel (7) is connected to the top of the floating plate (1) through bolts, and the photovoltaic solar panel (7) is electrically connected with the storage battery (12).
5. The water resource scheduling early warning device based on the internet of things as claimed in claim 4, wherein: and a photovoltaic converter is connected between the photovoltaic solar panel (7) and the storage battery (12).
6. The water resource scheduling early warning device based on the internet of things as claimed in claim 1, wherein: fixed casing (2) top middle part bolted connection has thing networking communication module (15), fixed casing (2) front side top embedding is fixed with the camera.
7. The water resource scheduling early warning device and method based on the Internet of things according to claim 6, wherein: the signal output part of ultrasonic sounding probe (4), evaporative sensor (5), camera and rainfall sensor (6) is connected with the signal input part of industrial computer (3), the signal output part of industrial computer (3) is connected with the signal input part of motor (13), waterproof motor (9) and thing networking communication module (15).
8. A water resource scheduling early warning device based on the Internet of things is characterized in that the water resource scheduling early warning device based on the Internet of things according to any one of claims 1 to 7 is utilized, and the water resource scheduling early warning method based on the Internet of things comprises the following steps:
the method comprises the following steps: firstly, putting a water resource scheduling early warning device into each water area, detecting the depth of the water resource, detecting rainfall and detecting the evaporation capacity of the water surface in each water area, transmitting the detected data to a scheduling master control center, and after the transmission of the depth data of the water resource is finished, unifying the layer distance standard by the scheduling master control center according to the depth data of the water resource, and carrying out pyramid modeling layering on each water resource area;
step two: after water resource layering, inputting layering data of each water resource area into a convolutional neural network, establishing a water resource layering model by using the convolutional neural network, and when the layering data in the areas are reduced, visually seeing the reduction of the number of layers so as to early warn water resource scheduling;
step three: because the size of the predicted rainfall and the actual rainfall come in and go out, a pre-analysis scheduling model is established by using a convolutional neural network, a scheduling model of 10% -100% of rainfall in each region is established, different percentage scheduling models are input, different water resource scheduling amounts are input, the actual rainfall and evaporation amount are continuously updated and transmitted through a water resource scheduling early warning device, the actual rainfall can be compared to be the percentage of the predicted rainfall, and after the comparison is completed, the percentage scheduling model is directly used for scheduling water resources;
step four: in the scheduling process of water resources, the ultrasonic sounding sensor at the bottom of the water resource scheduling early warning device can continuously detect the water depth of a water resource area, the water depth data is transmitted to the scheduling control center, the water depth data is continuously corrected, and after the water depth data is matched with the layered model data, the scheduling control center can timely stop scheduling of the water resources and accurately schedule the water resources.
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