Intelligent raw water sample reserving instrument and sample reserving system
Through intelligent raw water sample retention and sample retention system, water quality detection sensors and automatic delivery systems are used to solve the problems of long sampling periods and data delays in traditional water quality monitoring, real-time monitoring and efficient sampling are achieved.
Patent Information
- Application Number
- CN202411967636.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-01
AI Technical Summary
Traditional water quality monitoring relies on manual sampling and laboratory analysis, and there are problems such as long sampling period, data delay and manual errors, and real-time monitoring and comprehensive management cannot be achieved.
It provides an intelligent raw water sample retention device and sample retention system to detect whether the water quality sample is abnormal through the water quality detection sensor, and automatically convey the samples to achieve accurate detection and automatic sample retention functions.
It realizes intelligent sampling, conducts real-time water quality monitoring, improves sampling efficiency, and uses external convenient sampling bags to facilitate users to take out samples and make emergency samples when water quality samples are abnormal.
Smart Images

Figure CN119738218A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of water quality monitoring, and in particular to an intelligent raw water sample retention instrument and a sample retention system. Background Art
[0002] Under the background of increasingly tight global water resources and the improvement of environmental protection awareness, the market demand for water quality monitoring equipment is increasing. Water plants, sewage treatment plants, industrial water systems, agricultural irrigation water sources, environmental monitoring stations and other occasions all need to monitor water quality in real time to ensure the safety and effective use of water resources.
[0003] Traditional water quality monitoring relies on manual sampling and laboratory analysis, which has problems such as long sampling cycles, data delays and manual errors. Although some automated sampling equipment has emerged, its functions are still limited and cannot achieve real-time monitoring and comprehensive management.
[0004] Under this premise, in view of the shortcomings of existing technologies, we hope to develop an efficient, real-time monitoring and intelligent water quality sampling equipment to solve the problems existing in existing technologies. Summary of the invention
[0005] The purpose of this application is to provide an intelligent raw water sample retention instrument and sample retention system, which can realize automated sampling and improve sampling efficiency.
[0006] To achieve the above objectives, this application provides the following solutions:
[0007] In a first aspect, the present application provides an intelligent raw water sample retention instrument, comprising:
[0008] A refrigerator, a water inlet pipe, a drainage pipe, a water quality detection sensor, a sample bag, an external sampling bag, a controller and a solenoid valve; the water inlet pipe includes: a first water inlet branch and a second water inlet branch;
[0009] The controller is connected to the water quality detection sensor and the solenoid valve respectively; the water quality detection sensor is arranged on the first water inlet branch; the solenoid valve is arranged at the connection between the first water inlet branch and the second water inlet branch; the water outlet end of the first water inlet branch is connected to the input end of the retained sample bag; the water outlet end of the second water inlet branch is connected to the input end of the external sampling bag; the water inlet end of the drainage pipe is connected to the output end of the external sampling bag and the output end of the retained sample bag respectively; the external sampling bag is arranged on the outside of the refrigerator; the retained sample bag is placed in the refrigerator; the external sampling bag is connected to the retained sample bag;
[0010] The refrigerator is used to refrigerate and preserve the sample bag;
[0011] The sample retention bag and the external sampling bag are both used to store the water quality sample;
[0012] The water quality detection sensor is used to detect whether the water quality sample in the first water inlet branch is abnormal, and when the water quality sample in the first water inlet branch is detected to be abnormal, it sends an abnormal signal to the controller; the water quality sample abnormality includes: at least one of the ammonia nitrogen content, pH value or organic pollutant content of the water quality sample exceeds a set threshold;
[0013] The controller is used to:
[0014] When no abnormal signal is received, the water quality sample in the first water inlet branch is controlled to be transported to the sample bag, the water quality sample in the sample bag is discharged through the drainage pipe, or the water quality sample in the sample bag is transported to the external sampling bag;
[0015] When an abnormal signal is received, the solenoid valve is controlled to open, and the water quality sample is transported to the external sampling bag through the second water inlet branch.
[0016] Optionally, the intelligent raw water sample retention instrument further includes: an inlet flow meter and a drain flow meter; the inlet flow meter is arranged on the inlet pipe; the drain flow meter is arranged on the drain pipe; the controller is connected to the inlet flow meter and the drain flow meter respectively;
[0017] The water inlet flow meter is used to measure the flow of the water quality sample in the water inlet pipe, obtain the water inlet flow, and send the water inlet flow to the controller;
[0018] The water inlet flow meter is used to measure the flow of the water quality sample in the drainage pipe, obtain the water outlet flow, and send the water outlet flow to the controller.
[0019] Optionally, the intelligent raw water sample retention instrument further comprises: an inlet peristaltic pump and a drainage peristaltic pump; the inlet peristaltic pump and the drainage peristaltic pump are both connected to the controller; the inlet peristaltic pump is arranged in the inlet pipe; the drainage peristaltic pump is arranged in the drainage pipe;
[0020] The water inlet peristaltic pump is used to pump the water quality sample in the water inlet pipe;
[0021] The drainage peristaltic pump is used to pump the water quality sample in the drainage pipe.
[0022] Optionally, the intelligent raw water sample retention instrument further includes: a water leakage sensor; the water leakage sensor is arranged in the refrigerator; the water leakage sensor is connected to the controller; the water leakage sensor is used to detect whether there is water leakage inside the refrigerator, and when water leakage inside the refrigerator is detected, the water leakage signal is sent to the controller;
[0023] The controller is also used to drain the water inside the refrigerator when receiving a water leakage signal.
[0024] Optionally, the intelligent raw water sample retention instrument further includes: a sample bag rack; the sample bag rack is arranged in the refrigerator; the sample bag rack is used to store the sample bags.
[0025] Optionally, the intelligent raw water sampling instrument further includes: a touch screen; the touch screen is connected to the controller; the touch screen is used for the user to view the equipment operation status, historical data and manually control sampling; the historical data includes: abnormal signals.
[0026] Optionally, the intelligent raw water sample retention instrument further includes: a first filtering mechanism and a second filtering mechanism; the first filtering mechanism is arranged at the water inlet of the water inlet pipe; the second filtering mechanism is arranged at the sample retention bag and the drainage pipe;
[0027] The first filtering mechanism and the second filtering mechanism are both used for filtering water samples.
[0028] In a second aspect, the present application provides an intelligent raw water sample retention system, comprising: a camera, an intelligent raw water sample retention instrument management platform and any one of the above-mentioned intelligent raw water sample retention instruments; the camera is connected to the intelligent raw water sample retention instrument management platform;
[0029] The camera is used to take pictures of the sample bag in the intelligent raw water sample retention instrument at regular intervals to obtain pictures;
[0030] The intelligent raw water sample retention instrument management platform is used for:
[0031] Obtaining the picture;
[0032] According to the picture and the sample bag damage detection model, whether the sample bag is damaged is detected; the sample bag damage detection model is obtained by training the target recognition model.
[0033] Optionally, in terms of detecting whether the sample bag is damaged according to the picture and the sample bag damage detection model, the intelligent raw water sample retention instrument management platform is specifically used to:
[0034] The image is input into a sample bag damage detection model to determine whether the liquid level of the water quality sample in the sample bag changes at the position marked on the sample bag;
[0035] If the liquid level of the water sample in the sample bag changes at the position marked on the sample bag, it is determined that the sample bag is damaged.
[0036] Optionally, the intelligent raw water sampling system further includes: a guide rail; the camera is arranged on the guide rail; and the guide rail is used to support the camera to move up and down.
[0037] According to the specific embodiments provided in this application, this application has the following technical effects:
[0038] The present application provides an intelligent raw water sampling instrument and sampling system, which detects whether the water quality sample is abnormal through a water quality detection sensor and transports the water quality sample to achieve accurate detection and automatic sampling functions. Through an external convenient sampling bag, users can conveniently take out samples and take emergency samples when the water quality sample is abnormal, so that the system can realize intelligent sampling, conduct real-time water quality monitoring and improve sampling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0040] Figure 1 A schematic diagram of the structure of an intelligent raw water sample retention instrument provided for this application;
[0041] Figure 2 A schematic diagram of the interaction structure between an intelligent raw water sample retention instrument management platform and an intelligent raw water sample retention instrument provided in this application;
[0042] Figure 3 A schematic diagram of the structure of a control terminal provided in this application.
[0043] Figure markings: 1-refrigerator, 2-water quality detection sensor, 3-sample bag, 4-external sampling bag, 5-controller, 6-water inlet flow meter, 7-water discharge flow meter, 8-water inlet peristaltic pump, 9-water discharge peristaltic pump, 10-water leakage sensor, 11-sample bag rack, 12-touch screen, 13-camera, 14-guide rail, 15-first filtering mechanism, 16-second filtering mechanism. DETAILED DESCRIPTION
[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0045] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0046] In an exemplary embodiment, Figure 1 As shown, an intelligent raw water sample retention instrument is provided, including: a refrigerator 1, a water inlet pipe, a drainage pipe, a water quality detection sensor 2, a sample retention bag 3, an external sampling bag 4, a controller 5 and a solenoid valve; the water inlet pipe includes: a first water inlet branch and a second water inlet branch.
[0047] The controller 5 is connected to the water quality detection sensor 2 and the solenoid valve respectively; the water quality detection sensor 2 is arranged on the first water inlet branch; the solenoid valve is arranged at the connection between the first water inlet branch and the second water inlet branch; the water outlet end of the first water inlet branch is connected to the input end of the sample bag 3; the water outlet end of the second water inlet branch is connected to the input end of the external sampling bag 4; the water inlet end of the drainage pipe is respectively connected to the output end of the external sampling bag 4 and the output end of the sample bag 3; the external sampling bag 4 is arranged on the outside of the cold storage cabinet 1; the sample bag 3 is placed in the cold storage cabinet 1; the external sampling bag 4 is connected to the sample bag 3.
[0048] The refrigerator 1 is used for refrigerating and preserving the sample bags 3 .
[0049] The sample retention bag 3 and the external sampling bag 4 are both used to store water quality samples.
[0050] The water quality detection sensor 2 is used to detect whether the water quality sample in the first water inlet branch is abnormal, and when the water quality sample in the first water inlet branch is detected to be abnormal, it sends an abnormal signal to the controller 5; the water quality sample abnormality includes: at least one of the ammonia nitrogen content, pH value or organic pollutant content of the water quality sample exceeds the set threshold.
[0051] The controller 5 is used for:
[0052] When no abnormal signal is received, the water quality sample in the first water inlet branch is controlled to be transported to the sample bag 3, the water quality sample in the sample bag 3 is discharged through the drainage pipe, or the water quality sample in the sample bag 3 is transported to the external sampling bag 4.
[0053] When an abnormal signal is received, the solenoid valve is controlled to open, and the water quality sample is transported to the external sampling bag 4 through the second water inlet branch.
[0054] In another exemplary embodiment of the present application, the intelligent raw water sampling instrument also includes: an inlet flow meter 6 and a drain flow meter 7; the inlet flow meter 6 is arranged on the inlet pipe; the drain flow meter 7 is arranged on the drain pipe; the controller 5 is respectively connected to the inlet flow meter 6 and the drain flow meter 7.
[0055] The water inlet flowmeter 6 is used to measure the flow of the water quality sample in the water inlet pipe, obtain the water inlet flow, and send the water inlet flow to the controller 5.
[0056] The water inlet flowmeter 6 is used to measure the flow of water quality samples in the drainage pipe, obtain the water outlet flow, and send the water outlet flow to the controller 5.
[0057] In another exemplary embodiment of the present application, the intelligent raw water sampling instrument also includes: an inlet peristaltic pump 8 and a drainage peristaltic pump 9; the inlet peristaltic pump 8 and the drainage peristaltic pump 9 are both connected to the controller 5; the inlet peristaltic pump 8 is arranged in the inlet pipe; the drainage peristaltic pump 9 is arranged in the drainage pipe.
[0058] The water inlet peristaltic pump 8 is used to pump the water quality sample in the water inlet pipe.
[0059] The drainage peristaltic pump 9 is used to pump the water quality sample in the drainage pipe.
[0060] In another exemplary embodiment of the present application, the intelligent raw water sampling instrument also includes: a water leakage sensor 10; the water leakage sensor 10 is arranged in the refrigerator 1; the water leakage sensor 10 is connected to the controller 5; the water leakage sensor 10 is used to detect whether there is a water leakage inside the refrigerator 1, and when a water leakage is detected inside the refrigerator 1, a water leakage signal is sent to the controller 5.
[0061] The controller 5 is also used to drain the water inside the refrigerator 1 when receiving a water leakage signal. Specifically, the intelligent raw water sample retention instrument also includes a water leakage conveying pipeline, in which there is a drainage peristaltic pump, and the water inside the refrigerator 1 is discharged through the drainage peristaltic pump and the water leakage conveying pipeline.
[0062] In another exemplary embodiment of the present application, the intelligent raw water sample retaining instrument further includes: a sample bag rack 11; the sample bag rack 11 is arranged in the refrigerator 1; the sample bag rack 11 is used to store the sample bags 3.
[0063] In another exemplary embodiment of the present application, the intelligent raw water sample retention instrument further includes: a touch screen 12; the touch screen 12 is connected to the controller 5; the touch screen 12 is used by the user to view the equipment operation status, historical data and manually control the sampling; the historical data includes: abnormal signals. When manually controlling the sampling operation, the user selects the sampling operation, and the controller controls the water quality sample in the first water inlet branch to be transported to the sample bag. The user selects the sampling operation, and the controller discharges the water quality sample in the sample bag through the drainage pipe. The user selects the sampling operation, and the controller transports the water quality sample in the sample bag to the external sampling bag, thereby realizing manual control of sampling.
[0064] In another exemplary embodiment of the present application, the intelligent raw water sample retention instrument also includes: a first filtering mechanism 15 and a second filtering mechanism 16; the first filtering mechanism 15 is arranged at the water inlet of the water inlet pipe; the second filtering mechanism 16 is arranged at the sample retention bag 3 and the drainage pipe.
[0065] The first filtering mechanism 15 and the second filtering mechanism 16 are both used to filter the water sample.
[0066] In another exemplary embodiment of the present application, an intelligent raw water sample retention system is provided, including: a camera 13, an intelligent raw water sample retention instrument management platform and the intelligent raw water sample retention instrument in the above-mentioned embodiments; the camera and the intelligent raw water sample retention instrument management platform are connected; the camera 13 can be a wireless camera.
[0067] The camera 13 is used to take pictures of the sample bag 3 in the intelligent raw water sample retention instrument at regular intervals to obtain images.
[0068] Intelligent raw water sample management platform is used for:
[0069] Get a picture; detect whether the sample bag 3 is damaged according to the picture and the sample bag 3 damage detection model; the sample bag 3 damage detection model is obtained by training the target recognition model.
[0070] In another exemplary embodiment of the present application, in terms of detecting whether the sample bag 3 is damaged according to the picture and the sample bag 3 damage detection model, the intelligent raw water sample retention instrument management platform is specifically used to:
[0071] The picture is input into the sample bag damage detection model to determine whether the liquid level of the water quality sample in the sample bag 3 changes at the position marked on the sample bag 3. Determining whether the liquid level of the water quality sample in the sample bag 3 changes at the position marked on the sample bag 3 is specifically as follows: after the sample is retained, take pictures at regular intervals, and then compare the current picture with the last picture to determine whether the liquid level has changed.
[0072] If the liquid level of the water quality sample in the sample bag 3 changes at the position marked on the sample bag 3, it is determined that the sample bag 3 is damaged.
[0073] In another exemplary embodiment of the present application, the intelligent raw water sampling system further includes: a guide rail 14; a camera 13 is disposed on the guide rail 14; and the guide rail 14 is used to support the camera 13 to move up and down.
[0074] Method for detecting damage of sample bag 3: Based on the target recognition model (such as YOLOv5), the wireless camera 13 is used to identify changes in the mark on the sample bag 3 to monitor bag damage or liquid reduction.
[0075] Water quality monitoring: Real-time processing of water quality detection sensor 2 and flow meter data, automatic recording of abnormalities and emergency sampling when water quality data is abnormal.
[0076] Alarm and record management: Alarm for abnormal water quality, water leakage, etc., record historical data and manage them digitally.
[0077] Timed automatic sampling: The sampling instruction is triggered by the timer, and the sampling pump, solenoid valve, filter and backwashing mechanism and other components are started and stopped in a preset order to complete the automatic sampling process, that is, draining old samples - adding clean water - draining clean water - taking samples.
[0078] The method for detecting the damage of the sample bag 3 uses a camera 13, which is moved up and down by a guide rail 14 and a motor, and can effectively identify the change in the position of the mark on the sample bag 3 in multiple layers to determine whether the sample bag 3 is damaged during the sample retention process, or the pipeline is damaged, resulting in a reduction in liquid, thereby causing a change in the position of the mark. In a specific implementation, the camera 13 identifies all sample bags 3 in turn every half an hour. The recognition area of the camera 13 is configured through the front-end interface to ensure that the recognition area of each camera 13 covers the entire sample bag 3 and avoids non-overlapping areas, thereby repeated recognition or discrimination.
[0079] The system uses the target recognition algorithm (such as yolov5) as the basic model for accurate detection of the sample bag 3. The algorithm learns the characteristics of the identification image through the deep learning network and uses image recognition technology to accurately locate the changes of the identification. The model is configured on the intelligent raw water sample management platform, and the pictures collected by the camera 13 are received through the Web service. The model analyzes the pictures and outputs the change information of the identification in each camera 13 configuration area. The example is as follows:
[0080] {"01":{"red_line":"(x11,y11,x12,y12)"}.
[0081] "02":{"red_line":"(x21,y21,x22,y22)"}.
[0082] "03":{"red_line":"(x31,y31,x32,y32)"},...}.
[0083] Among them, "01", "02" ... are the numbers of the sample bags 3, and "red_line" represents the position coordinates (x1, y1, x2, y2) of the red line mark on each bag. The intelligent raw water sample management platform regularly obtains the pictures taken by the camera 13 and sends them to the sample bag 3 damage detection model. By comparing the changes in the mark position, it is determined whether the sample bag 3 is missing or the liquid is reduced.
[0084] The design of the intelligent raw water sample management platform integrates multiple functional modules to provide users with efficient and reliable raw water sample management solutions. Figure 2 As shown in the figure, the intelligent raw water sample retention system also includes a switch, and the intelligent raw water sample retention instrument management platform manages different intelligent raw water sample retention instruments through the switch. The intelligent raw water sample retention instrument management platform can effectively improve the automation and intelligence level of water quality monitoring by optimizing the bag break recognition model, integrating historical data, video monitoring, fault detection and user management.
[0085] The intelligent raw water sample management platform also includes:
[0086] Optimize the broken bag recognition model module:
[0087] Functional overview: By comparing the data of the water inlet flow meter 6 and the water outlet flow meter 7 in the intelligent raw water sample retention instrument, an alarm record is generated, photos of the damaged sample bag 3 are extracted, and the damage detection model of the sample bag 3 is optimized and trained.
[0088] Monitor the inlet and outlet flow rates in real time. If there is an abnormal difference, it will be recorded as a potential bag break event. Use a deep learning algorithm to train the damaged photos of sample bag 3 to improve the accuracy and reaction speed of bag break identification.
[0089] Historical data module:
[0090] Function Overview: Centrally manage and view historical data collected by various sensors and devices.
[0091] It includes checking the historical data collected by the water quality detection sensor 2, water immersion sensor, water inlet flow meter 6, water discharge flow meter 7, temperature and humidity sensor, and camera 13, sampling management, alarm records, personnel operation records, equipment video monitoring, etc.
[0092] Video surveillance module:
[0093] Function overview: Provide real-time video monitoring of the intelligent raw water sampler and its surrounding environment to ensure the normal operation and safety of the sampler equipment.
[0094] Functional details:
[0095] Real-time monitoring: supports 24-hour uninterrupted monitoring and captures images in real time through camera 13.
[0096] Historical playback: Allows users to playback historical videos for later analysis and review.
[0097] Abnormal alarm: Once an abnormal situation is detected (such as equipment failure, external interference), an alarm will be issued to the user in a timely manner.
[0098] Fault detection and alarm module:
[0099] Function Overview: Real-time monitoring of equipment operating status, rapid identification of faults and issuance of alarms.
[0100] Based on the set threshold, determine whether the intelligent raw water sampler has any faults, and continuously monitor the status of each sensor and equipment, such as flow, pressure, temperature, etc. When a fault occurs, the system automatically sends an alarm pop-up window.
[0101] User management module:
[0102] Function Overview: Implement management of platform users, including permission allocation and operation records.
[0103] Set different operation permissions according to user roles to ensure data security, support multi-user login and record all user operations in real time to facilitate audit tracing.
[0104] Remote control module:
[0105] Function overview: Support users to remotely control and manage the intelligent raw water sampler.
[0106] Users can view device status and historical data anytime and anywhere through the network. Remote operation: allows users to remotely adjust device settings, start or stop the sampling process.
[0107] In another exemplary embodiment of the present application, Figure 3 As shown, the intelligent raw water sample retention instrument also includes: a temperature and humidity sensor and a control terminal; the control terminal includes: a processor module, a data conversion module, a network communication module, a power module and a database; the processor module, the data conversion module and the network communication module are connected in sequence; the database is connected to the data conversion module; the processor module is also connected to the power module.
[0108] The power module is used to supply power to the processor module.
[0109] The control terminal processes the data collected by the water quality detection sensor 2, the water leakage sensor 10, the water inlet flowmeter 6, the water discharge flowmeter 7, the temperature and humidity sensor, and the camera 13 through the processor module. The control terminal can also control the peristaltic pump, the first filter mechanism 15, the second filter mechanism 16, and the solenoid valve. The control terminal exchanges data with the intelligent raw water sample retention instrument management platform through the network communication module.
[0110] Data conversion module: responsible for converting sensor, alarm information and other data into the modbudtcp protocol format to communicate with the intelligent raw water sample management platform, or converting it into json format and storing it in the database.
[0111] The network communication module is used to send the converted data to the intelligent raw water sample retention instrument management platform.
[0112] The database is used to store the converted data.
[0113] The sample bag 3 is designed as a flat structure. The flat structure can effectively disperse the pressure generated by the gravity of the liquid inside the sample bag 3 and external environmental factors, reduce the pressure concentration on the thin layer defects of the sample bag 3, extend its service life, reduce manufacturing costs, and improve the overall performance of the sample bag 3.
[0114] Water quality detection sensor 2: Use the ion selective electrode method to measure ammonia nitrogen and pH value, and use: UV254 absorption method to measure COD value, to achieve 7*24 hours uninterrupted monitoring of key data of the intelligent raw water sample retention instrument.
[0115] The water inlet peristaltic pump 8 and the water discharge peristaltic pump 9 utilize the contraction and expansion of the flexible pipe to realize the fluid transportation, thereby accurately controlling the sampling volume of each automatic sampling cycle.
[0116] The precise measurement of the water inlet flowmeter 6 and the water discharge flowmeter 7 is based on the Hall effect principle. The electronic circuit of the flowmeter will measure the voltage and convert it into an electrical signal output proportional to the flow rate to calculate the flow values of the sample inlet and sample outlet during the sample retention process. By comparing the difference, it can be determined whether the sample bag 3 or the equipment pipeline is damaged.
[0117] Water leakage sensor 10: uses the conductivity of water. When water flows between the electrodes of the sensor, an electric current is formed, triggering an alarm or signal and notifying the controller 5 to remove the sample leaking from the device in time.
[0118] Through the above embodiments, the intelligent raw water sample retention instrument can independently operate to complete functions such as automatic / manual sampling, historical record viewing, and bag breakage detection.
[0119] The defects of traditional methods are mainly manifested in the following aspects:
[0120] (1) Manual dependence: Traditional methods require manual sampling, with low sampling frequency and poor data continuity and consistency.
[0121] (2) Insufficient monitoring accuracy: Existing sensors have poor stability in different environments, which may lead to data deviation.
[0122] (3) Insufficient fault detection capabilities: The lack of real-time monitoring and alarm functions makes it difficult to detect damage to the water sample bag or reduction of liquid, which may lead to sample loss.
[0123] (4) Imperfect management system: Most existing monitoring systems have single functions and lack a unified digital management platform, resulting in low management efficiency.
[0124] Based on the above defects, this application proposes the concept of an intelligent raw water sample retention instrument, which aims to solve the problems existing in the prior art by integrating advanced automated sampling, real-time water quality monitoring, intelligent fault detection and digital management functions.
[0125] The operation process of the intelligent raw water sample retention instrument in this application is as follows:
[0126] Automatic sample retention process: drain old sample - add clean water - drain clean water - take retained sample.
[0127] When injecting samples or washing with clean water, the sample (or clean water) circulation process is: first filtering mechanism 15 - water quality detection sensor 2 - water inlet flow meter 6 - water inlet peristaltic pump 8 - sample bag 3.
[0128] When draining samples or clearing water, the sample (or clear water) circulation process is: sample bag 3 - drainage peristaltic pump 9 - drainage flowmeter 7.
[0129] When water leaks inside the equipment, the leaked water passes through: the second filtering mechanism 16 - the drainage peristaltic pump 9 - the drainage flowmeter 7.
[0130] During emergency sampling, the sample (or clean water) circulation process is: first filtering mechanism 15 - water quality detection sensor 2 - water inlet flow meter 6 - water inlet peristaltic pump 8 - external sampling bag 4.
[0131] Quick removal: After clicking the sample bag 3 to be removed on the touch screen 12 to execute the removal, the sample flow process in the corresponding sample bag 3 is: sample bag 3—drainage peristaltic pump 9—drainage flow meter 7—external sampling bag 4.
[0132] The camera 13 takes pictures of the sample bag 3 in the intelligent raw water sample retaining instrument at regular intervals, transmits the pictures to the controller 5 via web service or wifi, and stores the pictures in the database at the same time.
[0133] When it is necessary to take out samples for manual testing or other purposes, there is no need to open the device to take out the sample bag 3. Just click on the corresponding sample bag 3 on the screen. The device will control the solenoid valve and the water inlet peristaltic pump 8 to clean the external sampling bag 4 and then transport the sample taken from the sample bag 3 to the external sampling bag 4. The user only needs to take out the external sampling bag 4.
[0134] The first filter mechanism and the second filter mechanism also have a backwashing function. The first filter mechanism and the second filter mechanism are both connected to the controller.
[0135] The first filter mechanism includes: a water inlet pump, a filter screen, a filter mechanism solenoid valve, a first filter pipe, a second filter pipe, a first backwash pipe, and a second backwash pipe; the water inlet pump and the filter mechanism solenoid valve are both connected to the controller; the water outlet of the first filter pipe is connected to the filter screen; the filter screen is connected to the water inlet of the second filter pipe; the reverse direction of the filter screen is respectively connected to the water outlet of the first backwash pipe and the water inlet of the second backwash pipe. The water inlet pump is also respectively connected to the first filter pipe and the first backwash pipe.
[0136] The water inlet pump is used to pump the water quality sample to the water inlet end of the first filtering pipeline or the water inlet end of the first backwashing pipeline, and the filter screen is used for filtering.
[0137] As an optional implementation, the filter mechanism solenoid valve includes: a first solenoid valve, a second solenoid valve, a third solenoid valve and a fourth solenoid valve.
[0138] The first solenoid valve and the second solenoid valve are filtering switches; specifically, the first solenoid valve is arranged at the water outlet end of the first filtering pipe, and the second solenoid valve is arranged at the water inlet end of the second filtering pipe.
[0139] The third solenoid valve and the fourth solenoid valve are switches for reverse flushing. Specifically, the third solenoid valve is arranged at the water outlet end of the first reverse flushing pipe, and the fourth solenoid valve is arranged at the water inlet end of the second reverse flushing pipe.
[0140] When filtering, the controller controls the first and second solenoid valves to open, the third and fourth solenoid valves to close, and the water sample passes through the first filter pipe, the filter screen, and the second filter pipe in sequence to enter the water inlet pipe. When backwashing, the controller controls the third and fourth solenoid valves to open, the first and second solenoid valves to close, and the water sample passes through the first backwashing pipe, flushes the filter screen in the reverse direction, and is discharged through the second backwashing pipe.
[0141] Normal working mode: Under normal circumstances, the incoming water flows through the first filter mechanism and then enters the sample bag through the filter net.
[0142] Backwash mode: When backwashing is required, the controller will switch the water flow direction through the solenoid valve so that the water flows through the filter in the reverse direction for flushing. After the water flow direction is changed, the high-pressure water flow will flush the filter in the reverse direction to remove the accumulated impurities. The flushed water will be discharged through the second reverse flushing pipe.
[0143] The structure of the second filtering mechanism is the same as that of the first filtering mechanism, and will not be described in detail here.
[0144] The first filtering mechanism and the second filtering mechanism: mainly rely on the internal pipes of the control mechanism and the switch of the solenoid valve to control the direction of water inlet to achieve the function of reverse flushing, and the coarseness of the filter net can be freely adjusted.
[0145] The function of the first filtering mechanism is to filter out large particles of impurities in the water inlet of the intelligent raw water sample retention instrument, and it has a built-in backwashing function to automatically and regularly clean the filtered impurities.
[0146] The second filtering mechanism mainly functions to filter impurities that may accidentally enter the interior of the filtering device to avoid damage and blockage of the drainage peristaltic pump 9.
[0147] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0148] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. An intelligent raw water sample retention instrument, characterized in that: The intelligent raw water sample retention instrument comprises: a refrigerator, a water inlet pipe, a drainage pipe, a water quality detection sensor, a sample retention bag, an external sampling bag, a controller and a solenoid valve; the water inlet pipe comprises: a first water inlet branch and a second water inlet branch; The controller is connected to the water quality detection sensor and the solenoid valve respectively; the water quality detection sensor is arranged on the first water inlet branch; the solenoid valve is arranged at the connection between the first water inlet branch and the second water inlet branch; the water outlet end of the first water inlet branch is connected to the input end of the retained sample bag; the water outlet end of the second water inlet branch is connected to the input end of the external sampling bag; the water inlet end of the drainage pipe is connected to the output end of the external sampling bag and the output end of the retained sample bag respectively; the external sampling bag is arranged on the outside of the refrigerator; the retained sample bag is placed in the refrigerator; the external sampling bag is connected to the retained sample bag; The refrigerator is used to refrigerate and preserve the sample bag; The sample retention bag and the external sampling bag are both used to store the water quality sample; The water quality detection sensor is used to detect whether the water quality sample in the first water inlet branch is abnormal, and when the water quality sample in the first water inlet branch is detected to be abnormal, it sends an abnormal signal to the controller; the water quality sample abnormality includes: at least one of the ammonia nitrogen content, pH value or organic pollutant content of the water quality sample exceeds a set threshold; The controller is used to: When no abnormal signal is received, the water quality sample in the first water inlet branch is controlled to be transported to the sample bag, the water quality sample in the sample bag is discharged through the drainage pipe, or the water quality sample in the sample bag is transported to the external sampling bag; When an abnormal signal is received, the solenoid valve is controlled to open, and the water quality sample is transported to the external sampling bag through the second water inlet branch.
2. The intelligent raw water sample retention instrument according to claim 1 is characterized in that: The intelligent raw water sample retention instrument further includes: an inlet flow meter and a drainage flow meter; the inlet flow meter is arranged on the inlet pipe; the drainage flow meter is arranged on the drainage pipe; the controller is connected to the inlet flow meter and the drainage flow meter respectively; The water inlet flow meter is used to measure the flow of the water quality sample in the water inlet pipe, obtain the water inlet flow, and send the water inlet flow to the controller; The water inlet flow meter is used to measure the flow of the water quality sample in the drainage pipe, obtain the water outlet flow, and send the water outlet flow to the controller.
3. The intelligent raw water sample retention instrument according to claim 1 is characterized in that: The intelligent raw water sample retention instrument further comprises: an inlet peristaltic pump and a drainage peristaltic pump; the inlet peristaltic pump and the drainage peristaltic pump are both connected to the controller; the inlet peristaltic pump is arranged in the inlet pipe; the drainage peristaltic pump is arranged in the drainage pipe; The water inlet peristaltic pump is used to pump the water quality sample in the water inlet pipe; The drainage peristaltic pump is used to pump the water quality sample in the drainage pipe.
4. The intelligent raw water sample retention instrument according to claim 1 is characterized in that: The intelligent raw water sample retention instrument further includes: a water leakage sensor; the water leakage sensor is arranged in the refrigerator; the water leakage sensor is connected to the controller; the water leakage sensor is used to detect whether there is water leakage inside the refrigerator, and when water leakage inside the refrigerator is detected, a water leakage signal is sent to the controller; The controller is also used to drain the water inside the refrigerator when receiving a water leakage signal.
5. The intelligent raw water sample retention instrument according to claim 1 is characterized in that: The intelligent raw water sample retaining instrument also includes: a sample bag rack; the sample bag rack is arranged in the refrigerator; the sample bag rack is used to store the sample bags.
6. The intelligent raw water sample retention instrument according to claim 1 is characterized in that: The intelligent raw water sample retention instrument also includes: a touch screen; the touch screen is connected to the controller; the touch screen is used for the user to view the equipment operation status, historical data and manually control the sampling; the historical data includes: abnormal signals.
7. The intelligent raw water sample retention instrument according to claim 1 is characterized in that: The intelligent raw water sample retention instrument further includes: a first filtering mechanism and a second filtering mechanism; the first filtering mechanism is arranged at the water inlet of the water inlet pipe; the second filtering mechanism is arranged at the sample retention bag and the drainage pipe; The first filtering mechanism and the second filtering mechanism are both used for filtering water samples.
8. An intelligent raw water sampling system, characterized in that: The intelligent raw water sample retention system comprises: a camera, an intelligent raw water sample retention instrument management platform and the intelligent raw water sample retention instrument according to any one of claims 1 to 7; the camera is connected to the intelligent raw water sample retention instrument management platform; The camera is used to take pictures of the sample bag in the intelligent raw water sample retention instrument at regular intervals to obtain pictures; The intelligent raw water sample retention instrument management platform is used for: Obtaining the picture; According to the picture and the sample bag damage detection model, whether the sample bag is damaged is detected; the sample bag damage detection model is obtained by training the target recognition model.
9. The intelligent raw water sampling system according to claim 8 is characterized in that: In terms of detecting whether the sample bag is damaged according to the picture and the sample bag damage detection model, the intelligent raw water sample retention instrument management platform is specifically used for: The image is input into a sample bag damage detection model to determine whether the liquid level of the water quality sample in the sample bag changes at the position marked on the sample bag; If the liquid level of the water sample in the sample bag changes at the position marked on the sample bag, it is determined that the sample bag is damaged.
10. The intelligent raw water sampling system according to claim 8, characterized in that: The intelligent raw water sampling system also includes: a guide rail; the camera is arranged on the guide rail; and the guide rail is used to support the camera to move up and down.
Citation Information
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