Intelligent water quality testing device

By designing intelligent water quality detection devices, including floating mechanisms, detection mechanisms, control mechanisms and photoelectric conversion mechanisms, the problem of online detection and real-time feedback in the prior art is solved, and efficient and accurate water quality detection and automatic early warning functions are achieved.

CN119757692AInactive Publication Date: 2025-04-04QUANZHOU WATER QUALITY TESTING CO LTD
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Patent Information

Application Number
CN202510259708.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-06
Publication Date
2025-04-04
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing water quality detection devices cannot achieve online inspection, have low detection efficiency, cannot feedback water quality changes in real time, and lack intelligent analysis and automatic early warning functions.

Method used

An intelligent water quality detection device is designed, including a floating mechanism, a detection mechanism, a fixed mechanism, a control mechanism and a photoelectric conversion mechanism. Online detection is realized through the floating mechanism. The detection mechanism includes a adjusting part and a stirring part to improve the detection accuracy. The control mechanism conducts intelligent analysis and issues an alarm. The photoelectric conversion mechanism uses solar energy to supply power.

Benefits of technology

Real-time online detection and real-time feedback of water quality inspection are realized, which reduces the work intensity of staff, improves detection accuracy, has automatic early warning function, and reduces labor cost investment.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the technical field of water quality detection, and specifically to an intelligent water quality detection device. An intelligent water quality detection device of the present application can realize intelligent, automated, and real-time online detection of the water quality detection device by installing a floating mechanism, a detection mechanism, a fixing mechanism, a control mechanism, and a photoelectric conversion mechanism on the casing, and can provide real-time feedback of water quality change information based on the detection data, automatically warn of pollution events, and improve the practicality of the device; the floating mechanism enables the device to perform water quality detection at various points in the river, saving time and effort; adjusting parts and stirring parts are installed on the detection mechanism, so that the device can perform different water level detection, and the stirring part can prevent impurities from precipitating and interfering with the work of the detector, thereby effectively improving the accuracy of water quality detection; and the fixing mechanism is installed at the bottom of the detection tube, which can increase the stability of the floating mechanism and prevent the detection mechanism from shaking during the flow of the river and affecting the detection.
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Description

Technical Field

[0001] The present invention relates to the technical field of water quality detection, and in particular to an intelligent water quality detection device. Background Art

[0002] Water is the source of life. Human beings cannot live without water in their daily life and production activities. The quality of drinking water is closely related to human health. With the development of social economy, scientific progress and the improvement of people's living standards, people's requirements for the quality of drinking water are constantly increasing, and the drinking water quality standards are also constantly developing and improving accordingly. Since the formulation of drinking water quality standards is related to many factors such as people's living habits, culture, economic conditions, scientific and technological development level, water resources and the current status of water quality, there are differences in the requirements for drinking water quality.

[0003] However, existing water quality testing instruments and equipment are usually complex in structure, and some sensors are set to detect substances in the water. However, this type of testing instrument is large, not easy to carry and use, and has a high manufacturing cost, which makes it inconvenient for people to take samples for testing anywhere.

[0004] In the prior art, patent number CN202310598515.5 discloses a detection device based on river water quality, including a funnel trough, a drain pipe, a control panel and a detection mechanism; the detection mechanism includes a water quality storage bucket, the bottom of the water quality storage bucket is tightly fitted to the top surface of the bottom plate, the interior of the water quality storage bucket is movably connected to the wall of the water pumping pipe, the output pipe end of the water pumping pipe is fixedly connected to the acquisition pipe end of the pump body, the base of the pump body is fixedly connected to the top surface of the top plate, and the water is discharged into the interior of the funnel trough through the pump body, a connecting pipe is arranged at the bottom of the funnel trough, and then the bottom end of the connecting pipe is penetrated through the top surface of the mixing box to connect the water quality to the interior of the mixing box, the wall surface of the sealing rubber ring is embedded in the side wall of the mixing box, and then the wall surface of the pH value detection probe is threadedly connected to the interior of the sealing rubber ring to play a sealing role, the water quality inside the mixing box is detected by the pH value detection probe, and the acidity and alkalinity of the water quality are determined according to the detection value of the pH value.

[0005] However, the device has the following problems: 1. It cannot perform online testing in the river, and requires manual labor to go to various points in the river to conduct water quality testing, which is inefficient and time-consuming and labor-intensive; 2. It cannot provide real-time feedback on water quality changes; 3. It lacks intelligent analysis and cannot automatically warn of pollution incidents. Summary of the invention

[0006] The purpose of the present invention is to solve at least one of the technical problems existing in the prior art and to provide an intelligent water quality detection device.

[0007] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is as follows: an intelligent water quality detection device comprises a housing; A floating mechanism, installed at the bottom of the housing, for floating the detection device on the water surface for online detection; A detection mechanism, installed at the bottom of the floating mechanism, comprises a detector, a detection cylinder is installed outside the detector, an adjusting member for adjusting the height of the detection mechanism and a stirring member for preventing impurities from settling and interfering with the operation of the detector are installed on the detection cylinder; A fixing mechanism, installed at the bottom of the detection tube, for increasing the stability of the floating mechanism; A control mechanism is installed inside the housing and is electrically connected to the detector, the adjusting member, and the stirring member, and is used to analyze the detection data obtained by the detector, issue an alarm message, and control the working state of the detector, the adjusting member, and the stirring member; The photoelectric conversion mechanism includes a solar panel, the solar panel is electrically connected to a solar control panel, the solar control panel is installed on the top of the casing and connected thereto, and is electrically connected to the control mechanism in the casing to provide power for the control mechanism.

[0008] Furthermore, the floating mechanism includes a floating body, a moving part for driving the detection device to move to a destination is installed at the bottom of the floating body, the moving part includes a first motor installed in the floating body, a first rotating shaft is fixedly installed at the output end of the first motor, a main gear is fixedly installed on the outer surface of the first rotating shaft, a slave gear is meshedly connected to the main gear, a steering rod that passes through the floating body is connected to the slave gear, a power plate is connected to the steering rod, a support frame is installed on the power plate, a power shaft is rotatably provided on the support frame, one end of the power shaft is connected to a driving motor, and the other end is connected to a driving fan blade, and the driving motor is fixed to the power plate.

[0009] Furthermore, the moving parts include two, and the two moving parts are symmetrically installed about the longitudinal center line of the floating body.

[0010] Furthermore, the adjusting member includes a second motor installed in the floating body, the output end of the second motor is provided with a second rotating shaft, a roller is sleeved on the second rotating shaft, a connecting rope is wound around the roller, and the other end of the connecting rope is connected to the detection cylinder.

[0011] Furthermore, the stirring member comprises a third motor mounted on the detection cylinder, the output end of the third motor is provided with a third rotating shaft, the output end of the third rotating shaft is provided with a stirring blade, and the stirring blade is arc-shaped.

[0012] Furthermore, a water inlet is provided at the top of the detection cylinder and a water outlet matching the water inlet is provided at the bottom; a grille is installed below the water inlet, the lower end of the grille is connected to the sewage outlet provided on the detection cylinder, and a cleaning piece is provided at the connection between the lower end of the grille and the sewage outlet.

[0013] Furthermore, the grille member comprises a grille belt, two driving shafts are arranged in the grille belt, a baffle is arranged between the grille belts between the two driving shafts, and the grille belt is arranged at an incline.

[0014] Furthermore, the cleaning member comprises a cleaning belt mounted on the inner wall of the detection tube, a scraper adapted to the grid belt is mounted on the surface of the cleaning belt, and a blade of the scraper is arranged toward the grid belt and abuts against the grid belt.

[0015] Furthermore, the control mechanism includes a controller installed in the housing, a terminal connected to the controller signal, and a cloud computing center, wherein the controller is electrically connected to a battery connected to the solar control panel, and is used to obtain water quality detection data in the detector and transmit the water quality detection data to the terminal; The terminal is used to receive the acquired water quality test data and upload it to the cloud computing center; at the same time, according to the abnormal identification result of the water quality test data, an alarm signal is generated, and the alarm signal and the abnormal identification result of the water quality test data are visualized; The cloud computing center includes a model building unit, a water quality anomaly identification unit, a water quality detection optimization unit, and a data sending unit connected in sequence; The model building unit is used to build a water quality detection anomaly recognition model and a water quality detection optimization model using a neural network algorithm; The water quality anomaly identification unit is used to identify water quality anomalies based on water quality detection data using a water quality anomaly identification model to obtain a water quality anomaly identification result; The water quality detection optimization unit is used to optimize the water quality detection according to the abnormal water quality identification result and obtain the water quality detection optimization strategy by using the water quality detection optimization model; The data sending unit is used to send the water quality anomaly identification result and the water quality detection optimization strategy to the terminal.

[0016] Furthermore, the neural network algorithm includes a BP neural network algorithm and a GA-BP neural network algorithm.

[0017] Compared with the prior art, the technical solution of this application has the following beneficial effects: 1. This application can realize real-time online detection of water quality detection device and real-time feedback of water quality changes by installing a floating mechanism, a detection mechanism, a fixing mechanism, a control mechanism, and a photoelectric conversion mechanism on the casing, thereby effectively reducing the work intensity of the staff.

[0018] 2. In the present application, a moving part is installed at the bottom of the floating body of the floating mechanism for driving the detection device to move to the destination. The detection device is driven to travel on the water surface by the driving motor and driving fan blades of the moving part. When the first motor is working, the moving direction of the floating body can be controlled, so that the detection device can perform water quality detection at various points in the river, thereby saving time and effort and facilitating the staff to detect the water quality of the river.

[0019] 3. The present application installs an adjusting member and a stirring member on the detection mechanism so that the device can perform different water level detections, and the stirring member can prevent impurities from settling and interfering with the operation of the detector, thereby effectively improving the accuracy of water quality detection; and by installing a fixing mechanism at the bottom of the detection tube, the stability of the floating mechanism can be increased to prevent the detection mechanism from shaking during the flow of the river and affecting the detection.

[0020] 4. This application sets up a control mechanism so that it can intelligently analyze the acquired detection data, thereby achieving automatic early warning of pollution incidents, improving the practicability of the device and reducing labor cost investment.

[0021] 5. The present application installs a photoelectric conversion mechanism, which includes a solar panel, to which a solar control panel is electrically connected. The solar control panel is installed on the top of the casing and connected thereto, and is electrically connected to the control mechanism in the casing to provide power for the control mechanism, thereby enabling the device to make full use of energy and effectively reduce the cost of water quality testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural schematic diagram of an intelligent water quality detection device in a preferred embodiment of the present invention; Figure 2 An exploded view of an intelligent water quality detection device in a preferred embodiment of the present invention; Figure 3 It is a schematic diagram of the internal structure of the detection mechanism in the preferred embodiment of the present invention; Figure 4 for Figure 3 The enlarged view of point A in the middle; Figure 5 Schematic diagram of the control structure of the intelligent water quality detection device in the preferred embodiment of the present invention.

[0023] Reference numerals: 1, housing; 2, floating mechanism; 201, floating body; 202, moving part; 202a, first motor; 202b, first rotating shaft; 202c, main gear; 202d, slave gear; 202e, steering rod; 202f, power plate; 202h, support frame; 202k, power rotating shaft; 202m, driving motor; 202n, driving fan blade; 3, detection mechanism; 301. detector; 302. detection tube; 4. fixing mechanism; 5. control mechanism; 501. controller; 502. terminal; 503. cloud computing center; 6. photoelectric conversion mechanism; 601. solar panel; 602. solar control panel; 7. adjustment member; 701. second motor; 702. second rotating shaft; 703. roller; 704. connecting rope; 8. stirring member; 801. third motor; 802. third rotating shaft; 803. stirring blade; 9. grille member; 901. grille belt; 902. driving shaft; 903. baffle; 10. cleaning member; 11. water inlet; 12. water outlet; 13. sewage outlet. DETAILED DESCRIPTION

[0024] The technical solutions in the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0025] Reference Figure 1-Figure 5 As shown, a preferred embodiment of the present invention, an intelligent water quality detection device, comprises a housing 1; A floating mechanism 2, installed at the bottom of the housing 1, for floating the detection device on the water surface for online detection; The detection mechanism 3 is installed at the bottom of the floating mechanism 2, and includes a detector 301. A detection cylinder 302 is installed outside the detector 301. The detection cylinder 302 is installed with an adjustment member 7 for adjusting the height of the detection mechanism and a stirring member 8 for preventing impurities from settling and interfering with the operation of the detector; The detector is a multifunctional sensor that can include common water quality testing items, including chemical oxygen demand, ammonia nitrogen, dissolved oxygen, pH, turbidity and conductivity, etc. It has strong functionality and practicality; A fixing mechanism 4, installed at the bottom of the detection tube 302, used to increase the stability of the floating mechanism, including a connecting rope connected to the detection tube, and a gravity cone is connected to the connecting rope, so as to ensure the stability of the device in the water flow; The control mechanism 5 is installed inside the housing 1 and is electrically connected to the detector 301, the adjusting member 7, and the stirring member 8, and is used to analyze the detection data obtained by the detector 301, issue an alarm message, and control the working states of the detector 301, the adjusting member 7, and the stirring member 8, so as to achieve automatic early warning of pollution events, improve the practicability of the device, and reduce the investment in labor costs; The photoelectric conversion mechanism 6 includes a solar cell panel 601, to which a solar cell control panel 602 is electrically connected. The solar cell panel 601 is installed on the top of the casing 1 and connected thereto, and is electrically connected to the control mechanism 5 in the casing 1, so as to provide power for the control mechanism 5, thereby realizing efficient use of energy and effectively reducing the cost of water quality detection.

[0026] As a preferred embodiment of the present invention, it may also have the following additional technical features: the floating mechanism 2 includes a floating body 201, a moving member 202 for driving the detection device to move to the destination is installed at the bottom of the floating body 201, and the moving member 202 includes a first motor 202a installed in the floating body 201, a first rotating shaft 202b is fixedly installed at the output end of the first motor 202a, a main gear 202c is fixedly installed on the outer surface of the first rotating shaft 202b, and a slave gear 202d is meshedly connected to the main gear 202c, and a steering rod 202e that runs through the floating body 201 is connected to the slave gear 202d. A power plate 202f is connected to 202e, and a support frame 202h is installed on the power plate 202f. A power shaft 202k is rotatably provided on the support frame 202h. One end of the power shaft 202k is connected to a driving motor 202m, and the other end is connected to a driving blade 202n. The driving motor 202m is fixed on the power plate 202f. The detection device is driven to travel on the water surface by the driving motor 202m and the driving blade 202n. When the first motor is working, the moving direction of the floating body 201 can be controlled, so that the detection device can perform water quality detection at various points in the river, thereby saving time and effort and facilitating the staff to detect the water quality of the river.

[0027] In this embodiment, the moving parts 202 include two, and the two moving parts 202 are symmetrically mounted on the floating body 201. Thus, the stability of the floating body moving on the water surface can be ensured.

[0028] In this embodiment, the adjusting member 7 includes a second motor 701 installed in the floating body 201, and the output end of the second motor 701 is provided with a second rotating shaft 702, and a roller 703 is sleeved on the second rotating shaft 702. A connecting rope 704 is wound around the roller 703, and the other end of the connecting rope 704 is connected to the detection cylinder 302. In this way, water quality detection at different water levels can be achieved.

[0029] In this embodiment, the stirring member 8 includes a third motor 801 installed on the detection cylinder, and the output end of the third motor 801 is provided with a third rotating shaft 802, and the output end of the third rotating shaft 802 is provided with a stirring blade 803, and the stirring blade 803 is arc-shaped. In this way, the water sample in the detection cylinder can be stirred to prevent the substance from settling at the bottom of the detection cylinder, and at the same time, the detection accuracy of the detector can be enhanced.

[0030] In this embodiment, the top of the detection cylinder 302 is provided with a water inlet 11, and the bottom is provided with a water outlet 12 matching the water inlet 11; a grid member 9 is installed below the water inlet 11, and the lower end of the grid member 9 is connected to the sewage outlet 13 provided on the detection cylinder 302, and a cleaning member 10 is provided at the connection between the lower end of the grid member 9 and the sewage outlet. Thus, water can be filtered through the grid to improve the accuracy of water quality detection.

[0031] In this embodiment, the grid member 9 includes a grid belt 901, two driving shafts 902 are arranged in the grid belt 901, a baffle 903 is arranged between the grid belt 901 between the two driving shafts 902, and the grid belt 901 is inclined, so that the grid can circulate and filter the water sample.

[0032] In this embodiment, the cleaning member 10 includes a cleaning belt installed on the inner wall of the detection cylinder 302, and a scraper adapted to the grid belt 901 is installed on the surface of the cleaning belt, and the blade of the scraper is arranged toward the grid belt and abuts against the grid belt. In this way, garbage on the grid belt can be cleaned to prevent garbage from clogging the grid belt.

[0033] In this embodiment, the control mechanism 5 includes a controller 501 installed in the housing 1, a terminal 502 connected to the controller 501 by signal, and a cloud computing center 503. The controller 501 is electrically connected to a battery connected to the solar control panel 602, and is used to obtain water quality detection data in the detector 301 and transmit the water quality detection data to the terminal 502. The terminal 502 is used to receive the acquired water quality test data and upload it to the cloud computing center; at the same time, according to the abnormal identification result of the water quality test data, an alarm signal is generated, and the alarm signal and the abnormal identification result of the water quality test data are visualized; The cloud computing center 503 includes a model building unit, a water quality anomaly identification unit, a water quality detection optimization unit, and a data sending unit connected in sequence; The model building unit is used to use a neural network algorithm to build a water quality detection anomaly recognition model and a water quality detection optimization model. The neural network algorithm includes a BP neural network algorithm and a GA-BP neural network algorithm. The neural network algorithm can be implemented according to existing technologies and will not be described in detail in this embodiment. The water quality anomaly identification unit is used to identify water quality anomalies based on water quality detection data using a water quality anomaly identification model to obtain a water quality anomaly identification result; The water quality detection optimization unit is used to optimize the water quality detection according to the water quality abnormality identification result and use the water quality detection optimization model to obtain a water quality detection optimization strategy; the water quality detection optimization strategy includes the location of the monitoring point and the monitoring frequency; The data sending unit is used to send the water quality anomaly identification result and the water quality detection optimization strategy to the terminal.

[0034] The intelligent water quality detection device of the present application combines the data collected by the real-time detector to comprehensively reflect the river water quality information and improve the comprehensiveness of the data; it manages and analyzes the data in a unified manner based on the cloud computing center, thereby improving practicality; the constructed water quality detection anomaly recognition model can combine the real-time detection data to identify water quality detection anomalies, thereby reducing the manpower cost investment and improving the accuracy of water quality detection anomaly recognition; the constructed water quality detection optimization model can generate a water quality detection optimization strategy based on the water quality detection anomaly recognition results and improve the functionality of the device.

[0035] Under the premise that no conflict occurs, those skilled in the art may freely combine and superimpose the above-mentioned additional technical features.

[0036] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. Intelligent water quality detection device, characterized by: Including the case; A floating mechanism, installed at the bottom of the housing, for floating the detection device on the water surface for online detection; A detection mechanism, installed at the bottom of the floating mechanism, comprises a detector, a detection cylinder is installed outside the detector, an adjusting member for adjusting the height of the detection mechanism and a stirring member for preventing impurities from settling and interfering with the operation of the detector are installed on the detection cylinder; A fixing mechanism, installed at the bottom of the detection tube, for increasing the stability of the floating mechanism; A control mechanism is installed inside the housing and is electrically connected to the detector, the adjusting member, and the stirring member, and is used to analyze the detection data obtained by the detector, issue an alarm message, and control the working state of the detector, the adjusting member, and the stirring member; The photoelectric conversion mechanism includes a solar panel, the solar panel is electrically connected to a solar control panel, the solar control panel is installed on the top of the casing and connected thereto, and is electrically connected to the control mechanism in the casing to provide power for the control mechanism.

2. The intelligent water quality detection device according to claim 1, characterized in that: The floating mechanism includes a floating body, a moving part for driving the detection device to move to a destination is installed at the bottom of the floating body, the moving part includes a first motor installed in the floating body, a first rotating shaft is fixedly installed at the output end of the first motor, a main gear is fixedly installed on the outer surface of the first rotating shaft, a slave gear is meshedly connected to the main gear, a steering rod that passes through the floating body is connected to the slave gear, a power plate is connected to the steering rod, a support frame is installed on the power plate, a power shaft is rotatably provided on the support frame, one end of the power shaft is connected to a driving motor, and the other end is connected to a driving fan blade, and the driving motor is fixed to the power plate.

3. The intelligent water quality detection device according to claim 2, characterized in that: The two moving parts are symmetrically installed about the longitudinal center line of the floating body.

4. The intelligent water quality detection device according to claim 2, characterized in that: The adjusting member comprises a second motor installed in the floating body, a second rotating shaft is provided at the output end of the second motor, a roller is sleeved on the second rotating shaft, a connecting rope is wound around the roller, and the other end of the connecting rope is connected to the detection cylinder.

5. The intelligent water quality detection device according to claim 1, characterized in that: The stirring member comprises a third motor mounted on the detection cylinder, the output end of the third motor is provided with a third rotating shaft, the output end of the third rotating shaft is provided with a stirring blade, and the stirring blade is arc-shaped.

6. The intelligent water quality detection device according to claim 1, characterized in that: The detection cylinder is provided with a water inlet at the top and a water outlet matching the water inlet at the bottom; a grille is installed below the water inlet, the lower end of the grille is connected to the sewage outlet on the detection cylinder, and a cleaning piece is provided at the connection between the lower end of the grille and the sewage outlet.

7. The intelligent water quality detection device according to claim 6, characterized in that: The grille member comprises a grille belt, two driving shafts are arranged inside the grille belt, a baffle is arranged between the grille belts between the two driving shafts, and the grille belt is arranged tilted.

8. The intelligent water quality detection device according to claim 7, characterized in that: The cleaning member comprises a cleaning belt mounted on the inner wall of the detection tube, a scraper adapted to the grid belt is mounted on the surface of the cleaning belt, and the blade of the scraper is arranged toward the grid belt and abuts against the grid belt.

9. The intelligent water quality detection device according to claim 1, characterized in that: The control mechanism includes a controller installed in the housing, a terminal connected to the controller signal, and a cloud computing center. The controller is electrically connected to a battery connected to the solar control panel, and is used to obtain water quality detection data in the detector and transmit the water quality detection data to the terminal; The terminal is used to receive the acquired water quality test data and upload it to the cloud computing center; at the same time, according to the abnormal identification result of the water quality test data, an alarm signal is generated, and the alarm signal and the abnormal identification result of the water quality test data are visualized; The cloud computing center includes a model building unit, a water quality anomaly identification unit, a water quality detection optimization unit, and a data sending unit connected in sequence; The model building unit is used to build a water quality detection anomaly recognition model and a water quality detection optimization model using a neural network algorithm; The water quality anomaly identification unit is used to identify water quality anomalies based on water quality detection data using a water quality anomaly identification model to obtain a water quality anomaly identification result; The water quality detection optimization unit is used to optimize the water quality detection according to the abnormal water quality identification result and obtain the water quality detection optimization strategy by using the water quality detection optimization model; The data sending unit is used to send the water quality anomaly identification result and the water quality detection optimization strategy to the terminal.

10. The intelligent water quality detection device according to claim 9, characterized in that: The neural network algorithm includes BP neural network algorithm and GA-BP neural network algorithm.

Citation Information

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