A model device for detecting the physicochemical properties of muck
Patent Information
- Authority / Receiving Office
- NL · NL
- Patent Type
- Patents
- Current Assignee / Owner
- CHINA CONSTR CIVIL ENG CO LTD
- Filing Date
- 2025-05-08
- Publication Date
- 2026-07-02
Abstract
Description
A MODEL DEVICE FOR DETECTING THE PHYSICOCHEMICAL PROPERTIES w TECHNICAL FIELD The present invention relates to the technical eld of muck resource utilization, and more particularly to a model device for detecting the physicochemical properties of muck. BACKGROUND In order to handle the large amount of waste muck generated during urban infrastructure construction, a series of technologies and equipment for muck resource utilization have rapidly developed. The resource utilization process of waste muck involves key processes such as phase separation and regulation of the physicochemical properties of slurry. Muck with different characteristics requires different vibration parameters for phase separation and different physicochemical regulation parameters during resource utilization. Intelligent sensing of physicochemical property changes throughout the entire process of waste muck resource utilization and real-time regulation of process parameters is key to achieving efcient, green, and low-carbon resource utilization. At present, a shield muck resource utilization improvement process method (CNI 13 182328A) has been proposed, which conducts moisture content testing on shield muck and adopts different treatment processes and resource utilization paths based on varying moisture contents. However, this process method only conducts a single parameter (moisture content) test at the time of muck entry and lacks the sensing of physicochemical parameters in the slurry regulation process during subsequent resource utilization. This is mainly due to the lack of an integrated and intelligent sensing device for muck physicochemical properties in the eld of muck resource utilization. Another patent, CNl 16637902A, discloses an intelligent multifunctional resource utilization treatment method and system for waste muck, mentioning that the pH sensor and nearinfrared spectrometer in the data acquisition module can sense the chemical parameters of the slurry and clean water tanks. However, the system features low sensor integration and installation difculties, as the data transmission and power supply lines inevitably interfere with the resource production process. Furthermore, the system fails to propose a solution to the waterproong of optical sensors. Problems and drawbacks of the existing technologies: (1) The sensing of multisource muck physicochemical properties involves too few target parameters, making it difcult to fully grasp the physicochemical property changes throughout the entire muck resource utilization process. (CN1 13 182328A) (2) The degree of intelligence in muck physicochemical property sensing is low (CN1 13182328A), and the device integration is poor (CN1 16637902A) (3) In the muck resource utilization process, the sensing devices for physicochemical properties interfere with normal production workows due to wiring, and the harsh working environment for sensors (high moisture content and multi-source slurry) leads to high sensor damage rates, resulting in low accuracy or failure in measuring physicochemical parameters. SUMMARY To address the problems in the prior art, the present invention provides a model device for detecting the physicochemical properties of muck. The present invention provides a model device for detecting the physicochemical properties of muck, comprising a data preprocessing module, a central signal processing module, a communication module, a power supply module, an optical sensing module, and a housing. The data preprocessing module, the central signal processing module, the communication module, the power supply module, and the optical sensing module are installed inside the housing. The data preprocessing module is connected respectively to the communication module, the power supply module, and the optical sensing module, and is also connected to the central signal processing module. The optical sensing module is used for rapidly sensing relevant data of waste muck and muck slurry, and for detecting and calculating the content of various additives in polluted water. The data preprocessing module is used for initially screening, cleaning, and formatting the raw data transmitted from the optical sensing module to improve the efciency and accuracy of subsequent data processing. The central signal processing module is responsible for decoding the detection signals from the optical sensor that have been preprocessed by the data preprocessing module to obtain information about the content of various substances and for transmitting the detection data in real time to the database. The power supply module provides power to the model device for detecting the physicochemical properties of muck. An opening is arranged on the housing, and a transparent plate is installed at the opening. The transparent plate corresponds to the optical sensing module. The transparent plate is a high-transmittance quartz glass plate. The housing is a waterproof and pressure- resistant housing made of acrylonitrile-butadiene-styrene (ABS) material. The central signal processing and the communication module are integrated into one unit. The data preprocessing module includes a data loading module, a feature selection module, an outlier processing module, a data discretization module, a data normalization module, and a data integration module. The data loading module is responsible for receiving raw data from the optical sensing module and loading it into the data preprocessing module. The feature selection module sets feature selection rules based on the needs of shield muck physicochemical property analysis and selects feature data related to the target analysis from the loaded raw data. The outlier processing module uses statistical methods or machine learning algorithms to detect outliers and correct, delete, or replace them to improve the accuracy and reliability of the data. The data discretization module sets appropriate discretization rules based on analysis needs to convert continuous data into discrete data for subsequent classication and analysis. The data normalization module uses minimum-maximum normalization or zero-mean normalization methods to normalize the data, scaling it to a unied range to eliminate dimensional differences between different features. The data integration module merges and integrates data from different sources through data transformation and standardization, forming a unied dataset that is passed to the central signal processing module. The optical sensing module includes a turbidity sensor and / or a Fourier transform infrared spectrometer and / or a nitrate sensor and / or a COD sensor and / or an oilinwater sensor. The model device for detecting the physicochemical properties of muck further includes an electrochemical sensing module, which is connected to the central signal processing module. The electrochemical sensing module also includes an electrochemical sensing probe. An opening is provided on the housing, from which the electrochemical sensing probe extends. Waterproof glue is applied at the joint between the electrochemical sensing probe and the opening. The electrochemical sensing module includes a pH sensor and / or an ORP sensor and / or a chloride ion sensor and / or an ammonia nitrogen sensor and / or a moisture content sensor. The database can send feedback signals to the central signal processing module to control the working parameters of the model device for detecting the physicochemical properties of muck. As a further improvement of the present invention, the transparent plate is mounted at the opening by rivets, and waterproof glue is applied at the edge of the transparent plate and the opening. As a further improvement of the present invention, the power supply module adopts a high power density lithium-ion battery with a wireless charging coil at the bottom. As a further improvement of the present invention, an adsorption device is provided at the bottom of the housing. The adsorption device is used to adsorb the model device for detecting the physicochemical properties of muck to the bottom or the wall of the slurry conditioning module tank. As a further improvement of the present invention, the adsorption device consists of two detachable strong magnets. The benecial effects of the present invention are: (1) Improving the intelligence level and integration degree of physicochemical property sensors during muck resource utilization; (2) Achieving more comprehensive sensing of the physicochemical properties during muck resource utilization, thereby guiding efcient resource utilization of muck slurry and enhancing the economic benets of the muck slurry resource utilization process; (3) Overcoming the problem of high sensor failure rates in the prior art through sealed design and modular combination; (4) Enhancing engineering adaptability of the sensor device via wireless communication transmission and magnetic adsorption design, signicantly reducing the workload of sensor device installation and maintenance while ensuring portability and flexibility of the sensing device. BRIEF DESCRIPTION OF THE FIGURES Figure 1 is a cross-sectional view of a model device for detecting the physical and chemical properties of slag soil according to the present invention; Figure 2 is a side view of a model device for detecting the physical and chemical properties of slag soil according to the present invention; Figure 3 is a top view of a model device for detecting the physical and chemical properties of slag soil according to the present invention. Wherein: 1. Power module; 2. Optical sensor; 3. Housing; 4. Communication module; 5. Quartz glass; 6. Electrochemical sensor module; 7. Electrochemical sensor probe; 8. Rivet. DETAILED DESCRIPTION OF THE INVENTION Embodiment COD sensor: Chemical Oxygen Demand (COD) sensor is a type of optical sensor and belongs to the optical sensing module; pH sensor: Acidity and alkalinity sensor, the pH value is a parameter indicating the degree of acidity or alkalinity; OPR sensor: Oxidation-reduction potential sensor. As shown in Figures 1 to 3, the present invention discloses a model device for detecting the physical and chemical characteristics of muck, including a data preprocessing module, a central signal processing module, a communication module, a power supply module (1), an optical sensing module (2), and a housing (3). The data preprocessing module, the central signal processing module, the communication module, the power supply module (1), and the optical sensing module (2) are installed inside the housing (3). The data preprocessing module is respectively connected with the communication module, the power supply module (1), and the optical sensing module (2). The optical sensing module (2) is used to quickly sense relevant data of waste muck and muck slurry, detect and calculate the content of various additives in polluted water. The data preprocessing module is used to perform preliminary screening, cleaning, and formatting of the raw data transmitted from the optical sensing module, so as to improve the efciency and accuracy of subsequent data processing. The central signal processing module is responsible for decoding the detection signals of the optical sensor (2) after preprocessing by the data preprocessing module, obtaining various substance content information, and transmitting the detection data to the database in real time. The power supply module (1) is used to supply power to the model device for detecting the physical and chemical characteristics of muck; An opening is provided on the housing (3), and a transparent plate is installed at the opening. The transparent plate corresponds to the optical sensing module. The transparent plate is made of high-transmittance quartz glass (5); The housing (3) is a waterproof and pressure-resistant housing (3), and the waterproof and pressure-resistant housing (3) is made of acrylonitrile-butadiene-styrene material; The central signal processing and communication module (4) are integrated into one; The data preprocessing module includes a data loading module, a feature selection module, an outlier processing module, a data discretization module, a data normalization module, and a data integration module; The data loading module is responsible for receiving raw data from the optical sensing module and loading it into the data preprocessing module; The feature selection module, according to the needs of shield muck physical and chemical characteristic analysis, sets feature selection rules to screen out feature data related to the target analysis from the loaded raw data; The outlier processing module uses statistical methods or machine learning algorithms to detect outliers and correct, delete, or replace them to improve the accuracy and reliability of the data; The data discretization module, according to analysis needs, sets appropriate discretization rules to convert continuous data into discrete data, so as to facilitate subsequent classication and analysis; The data normalization module uses minmax normalization or zeromean normalization methods to perform data normalization processing, scaling the data to a unied range to eliminate the dimensional differences between different features; The data integration module realizes the fusion of data from different sources through data transformation and standardization processing, merges and integrates data from different sensing modules to form a unied data set, and transmits it to the central signal processing module; The optical sensing module includes a turbidity sensor and / or a Fourier transform infrared spectrometer and / or a nitrate sensor and / or a COD sensor and / or an oil-in-water sensor; The model device for detecting the physical and chemical characteristics of muck also includes an electrochemical sensing module (6), the electrochemical sensing module (6) is connected to the central signal processing module, and the electrochemical sensing module (6) also includes an electrochemical sensing probe (7); An opening is provided on the housing (3), and the electrochemical sensing probe (7) extends out from the opening. Waterproof glue is installed at the pore position of the opening and the electrochemical sensing probe (7); The electrochemical sensing module (6) includes a pH sensor and / or an OPR sensor and / or a chloride ion sensor and / or an ammonia nitrogen sensor and / or a moisture content sensor; The pH sensor, OPR sensor, moisture content sensor, chloride ion sensor, and ammonia nitrogen sensor can be freely congured according to user needs; The database can feed back signals to the central signal processing module to control the working parameters of the model device for detecting the physical and chemical characteristics of muck. The transparent plate is installed at the opening by rivets (8), and waterproof glue is installed between the edge of the transparent plate and the opening. The power supply module (1) adopts a high power density lithium-ion battery, with a wireless charging coil at the bottom. The bottom of the housing (3) is equipped with an adsorption device, which is used to adsorb the model device for detecting the physical and chemical characteristics of muck to the bottom or wall of the slurry conditioning module pool. The adsorption device is composed of two detachable strong magnets. The housing (3) is a waterproof and pressureresistant housing, and the waterproof and pressureresistant housing is made of acrylonitrilebutadienestyrene (ABS), which has the advantages of high strength, toughness, and chemical corrosion resistance. It adopts an integrally molded manufacturing process, avoiding ineffective openings in the housing except for necessary functional openings for sensors, ensuring the waterproof and pressureresistant capability of the housing. At the same time, two detachable strong magnets are arranged on the bottom surface of the housing (3), which can be directly adsorbed to the bottom or wall of the slurry conditioning module pool, facilitating installation and removal. An opening is provided on the housing 3, and a transparent plate is installed at the opening. The transparent plate is high-transmittance quartz glass 5. The high- transmittance quartz glass corresponds to the optical sensing module. The quartz glass plate is riveted to the housing 3 by rivets 8, and waterproof glue is applied to the edges to further improve waterproof performance. The optical sensing module 2 includes a turbidity sensor, Fourier transform infrared spectrometer, nitrate sensor, COD sensor, oil-in-water sensor, etc. The turbidity sensor, Fourier transform infrared spectrometer, nitrate sensor, COD sensor, and oil-in-water sensor can be freely congured according to user needs. The number of electrochemical sensing modules 6 is two, installed respectively on both sides of the optical sensing module 2. The power supply module 1 is characterized by using a high-power-density lithium-ion battery, with a wireless charging coil at the bottom. The high-powerdensity lithium-ion battery can ensure the device operates normally for no less than 30 days, and each charging and maintenance time does not exceed 6 hours. The integrated central signal processing and communication module 4 is responsible for decoding the detection signals of various sensors to obtain various substance content information, and transmitting the detection data in real time to the database through technologies such as 5G communication and Bluetooth. An external computer can also wirelessly control the operation of the model device used to detect the physical and chemical characteristics of muck. On one hand, it can perceive the physical and chemical properties of muck at different stages; on the other hand, it can turn the shield muck physical and chemical characteristic intelligent sensor on or off in real time according to need to extend the working time of the device. EXAMPLE 1: MUCK SLURRY INCOMING TANK The muck slurry incoming tank serves as the raw material area of the muck resource utilization system. Its main function is to temporarily receive newly generated muck and slurry from urban infrastructure construction. In the existing muck resource utilization process, the moisture content of the muck slurry is initially detected. With a 30% moisture content as the boundary, muck is converted into different products; however, relying solely on the moisture content parameter to carry out resource treatment of muck is obviously too rough, ignoring the inuence of mineral components, foaming agents, etc. in muck slurry on subsequent resource utilization process parameters. For example, for discarded muck with high clay mineral content and containing foaming agents, in the muck phase separation module, ushing water pressure needs to be increased, and if necessary, dispersants need to be added to reduce the adhesion of muck. At the same time, defoamers need to be added to eliminate foam in the slurry liquid after ushing, to avoid clogging of muck in the phase separation module, which may cause failure of resource utilization equipment operation; therefore, to reduce operational failures of resource equipment, in on-site use, operators will indiscriminately use the maximum ushing water pressure and add a certain amount of dispersants and defoamers. However, many discarded mucks with low clay mineral content do not require high ushing water pressure or additional agents, which leads to high energy consumption and insufcient economic benets in the existing muck resource process. If the main mineral components and foaming agent content of each batch of discarded muck can be quickly perceived in the raw material tank, then the subsequent muck phase separation module can adjust resource utilization process parameters based on these physical and chemical characteristics, effectively improving resource utilization efciency and benets. In the model device for detecting the physical and chemical characteristics of muck used in the slurry tank, the Fourier transform infrared spectrometer is optionally selected in the optical sensing module 2 to quickly perceive the main mineral components and foaming agent content of muck slurry; the electrochemical sensing module 6 is optionally equipped with a moisture content sensor and a pH sensor to perceive the moisture content and pH value of the muck, providing decision support for the subsequent resource utilization treatment path and methods. According to the physical and chemical parameters of slurry muck quickly perceived by the Fourier transform infrared spectrometer, the optimal resource utilization plan for different batches can be preliminarily determined, effectively reducing the amount of added external agents such as defoamers and dispersants. At the same time, the ushing water pressure during mud-sand separation can be intelligently adjusted based on mineral composition, greatly saving energy and improving the economic efciency of muck slurry resource utilization. Example 2: Slurry FlocculationSolidication Tank After mud-sand separation, the muck slurry produces clean, high-value sand and gravel aggregates and high-moisture-content slurry. The high-moisture-content slurry needs further occulation sedimentation and dehydration in the slurry occulation- solidication tank and is solidied into concentrated slurry with structural strength development capability; this process requires the addition of occulants and solidifying agents. In engineering, the dosage of occulants and solidifying agents lacks specic basis and dosing standards. Dosing based on experience often results in excessive or insufcient dosing, leading to waste of occulants and solidifying agents or substandard quality of slurry resource utilization products. In the model device for detecting the physical and chemical characteristics of muck used in the slurry occulation-solidication tank, the Fourier transform infrared spectrometer is optionally selected in the optical sensing module 2 to quickly perceive the main mineral components of muck slurry; the electrochemical sensing module 6 is optionally equipped with a moisture content sensor and a pH sensor. The integrated central signal processing and communication module 4 transmits the physical and chemical information of the slurry to the control decision terminal, which intelligently controls the dosage of occulants and solidifying agents. Example 3: Reclaimed Water Tank The reclaimed water tank is a container that recycles the upper clean liquid from the occulation-solidication tank and the water removed by pressure ltration of concentrated slurry. The tank water contains enriched dispersants and defoamers added during the mudsand separation process, as well as occulants and solidifying agents added during the occulationsolidication process. It also contains various pollutants leached from the soil (organic matter, shield grease, alkaline substances); The presence of these substances, on the one hand, affects the dosage of external agents such as dispersants and defoamers in the process of reclaimed water reuse; on the other hand, it is also related to the harmless treatment and discharge of excess reclaimed water. A model device for detecting the physicochemical properties of muck is placed in the reclaimed water tank, and the pH sensor, OPR sensor, chloride ion sensor, and ammonia nitrogen sensor in the electrochemical sensing module 6, as well as the turbidity sensor, nitrate sensor, and oil-inwater sensor in the optical sensing module 2, carry out real- time monitoring of water quality. After being integrated with the central signal processing and communication transmission module, the data is displayed on the control decision terminal to guide the harmless treatment and discharge of the reclaimed water. At the same time, the pH sensor and the Fourier transform infrared spectrometer of the optical sensing module provide guidance for the reuse of the reclaimed water. The pH value affects the dosage of occulants and curing agents during the occulation- solidication process, and the Fourier transform infrared spectrometer can detect the content of various additives (dispersants, defoamers, occulants, curing agents, etc.) in the water. Combined with the clay condition in the sand-mud separation process, the required dosage of additives can be calculated, which effectively saves the usage of various additives and improves the economic benets of the muck slurry resource utilization. The benecial effects of the present invention are: (l) improving the intelligence and integration level of the material physicochemical property sensors in the muck resource utilization process; (2) realizing more comprehensive perception of the physicochemical properties in muck resource utilization, thereby guiding the efcient resource utilization of muck slurry and enhancing the economic benets of the muck resource utilization process; (3) overcoming the high failure rate of existing sensors through sealed design and modular combination; (4) improving the engineering adaptability of the sensor device through wireless communication transmission and magnetic suction design, greatly reducing the installation and maintenance workload of the sensor device while ensuring the portability and exibility of the sensing device. The above contents are further detailed descriptions of the present invention in combination with specic preferred embodiments and should not be construed as limiting the specic implementations of the present invention only to these descriptions. For those skilled in the art of the present technical eld, several simple deductions or replacements can still be made without departing from the concept of the present invention, and all should be regarded as within the protection scope of the present invention.
Claims
l. A model device for detecting the physicochemical properties of sludge, characterized by: a data preprocessing module, a central signal processing module, a communications module, a power module, a optical sensor module and a housing, wherein the data preprocessing module, the central signal processing module, the communications module, the power module and the optical sensor module in the housing are installed, where the data preprocessing module is connected to the communication module, the power module and the optical sensor module, with the data preprocessing module connected to the central signal processing module, which contains the optical sensor module used to quickly observe relevant data from waste sludge and sludge suspension, and to detect and calculate the levels of various additives in polluted water, where the data preprocessing module is used to process the data generated by the optical sensor module sent raw data to preliminary screen, clean and formatting, to improve the efficiency and accuracy of subsequent to improve data processing, the central signal processing module is responsible for decoding and processing the detection signals from the optical sensor after they have been preprocessed through the data preprocessing module, to obtain the content information of various to obtain substances and to transfer the detection data to the database in real time. sending, the power module is used to supply power for the model device for detecting the physicochemical properties of sludge; an opening is made on the housing, a transparent plate is installed at the opening and the transparent plate corresponds to the optical sensor module; the transparent plate is a high transmission quartz glass plate; the housing is a waterproof and pressure-resistant housing and the waterproof and pressure-resistant housing is made of acrylonitrile butadiene styrene material; the central signal processing module and the communication module are integrated; the data preprocessing module includes a data loading module, a feature selection module, an outlier processing module, a data discretization module, a data normalization module and a Data Integration Module; The Data Loading Module is responsible for receiving of raw data from the optical sensor module and loading it into the data preprocessing module; the feature selection module sets feature selection rules according to the requirements of Shield Muck's physicochemical property analysis and selects feature data related to the target analysis from the loaded raw data. The outlier processing module uses statistical methods or machine learning algorithms to detect outliers and correct, remove or replace the outliers to improve the accuracy and reliability of the to improve data, where the data discretization module is suitable sets discretization rules based on analysis needs and converts continuous data into discrete data to facilitate subsequent classification and analysis, where the data normalization module performs data normalization using minimum-maximum normalization or zero-mean normalization methods, where the data is scaled to a uniform range to account for dimensional differences between to eliminate several features, with the data integration module merging realizes data from different sources through data transformation and standardization processing, merges data from different sensor modules and integrates these to form a uniform data set and sends it to the central signal processing module, where the optical sensor module is a turbidity sensor and / or a Fourier transform infrared spectrometer and / or a nitrate sensor and / or includes a COD sensor and / or an oil-in-water sensor; the model device for the Detecting the physicochemical properties of sludge further includes a electrochemical sensor module, the electrochemical sensor module is connected to the central signal processing module, which also includes the electrochemical sensor module an electrochemical sensor probe, which also has an opening provided in the housing, with the electrochemical sensor probe protruding from the opening and there waterproof glue is applied to the pore of the opening for the electrochemical sensor probe where the electrochemical sensor module contains a pH sensor and / or a OPR sensor and / or a chloride ion sensor and / or an ammonia nitrogen sensor and / or includes a moisture content sensor, where the database can feed signals back to the central signal processing module to control the working parameters of the model device to detect the physicochemical properties of sludge.
2. Model device for detecting the physicochemical properties of sludge according to claim 1, characterised in that: the transparent plate with rivets at the opening is fixed and there is waterproof glue between the edge of the transparent plate and the opening has been made.
3. Model device for detecting the physicochemical properties of sludge according to claim 1, characterised in that: the feeding module has a High power density lithium-ion battery used, with a wireless charging coil at the bottom.
4. Model device for detecting the physicochemical properties of sludge according to claim 1, characterised in that: an adsorption device is provided at the bottom of the housing is fitted and the adsorption device is used to develop the model device for detecting the physicochemical properties to adsorb sludge to the bottom or wall of the basin of the suspension conditioning module.
5. Model device for detecting the physicochemical properties of sludge according to claim 4, characterised in that: the adsorption device comprises two removable includes strong magnets. 1 / 3 Figure1