Coal quality detection and assay platform
By integrating automated equipment and an intelligent management system, the problems of low efficiency and insufficient accuracy in traditional coal quality testing have been solved, achieving efficient and accurate coal quality testing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-21
- Publication Date
- 2026-04-07
AI Technical Summary
Traditional coal quality testing relies on manual operation, which is cumbersome and easily affected by human factors, resulting in low testing efficiency and poor accuracy.
Design a coal quality testing and analysis platform that integrates an automatic sampling unit, a crushing and reducing unit, an automatic industrial analyzer, an elemental analyzer, a fully automatic calorimeter, a data acquisition and transmission module, an intelligent management system module, a data storage server, a user operation terminal, and a remote monitoring terminal to achieve full-process automation and intelligent management.
It significantly improves testing speed, reduces human interference, enhances the accuracy and repeatability of test results, provides a scientific basis for quality assessment, and reduces operational risks.
Smart Images
Figure CN224095835U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model belongs to coal quality detection technical field, concretely relates to a coal quality detection test platform. BACKGROUND
[0002] As a key energy resource, the quality detection of coal plays a decisive role in improving energy utilization efficiency, controlling combustion emissions and other aspects. The traditional coal quality detection test work mainly relies on manual operation, and the process is complicated and easy to be disturbed by human factors, which leads to low detection efficiency, and the accuracy and repeatability of the detection results are poor. In the current rapid development of intelligent technology, it is urgent to develop a test platform that can realize the full-process automation and intelligent management of coal quality detection, so as to improve the detection efficiency and accuracy and minimize the human error. Therefore, a coal quality detection test platform is needed to solve the above problems. SUMMARY
[0003] The utility model aims at providing a coal quality detection test platform to solve the problems in the background.
[0004] To achieve the above purpose, the utility model provides the following technical scheme: a coal quality detection test platform, which comprises an automatic sampling unit, a crushing and classifying unit, an automatic industrial analyzer, an elemental analyzer, a full-automatic calorimeter, a data acquisition and transmission module, an intelligent management system module, a data storage server, a user operation terminal and a remote monitoring terminal. The automatic sampling unit is connected with the crushing and classifying unit. The crushing and classifying unit is connected with the automatic industrial analyzer, the elemental analyzer and the full-automatic calorimeter respectively. The automatic industrial analyzer, the elemental analyzer and the full-automatic calorimeter are connected with the data acquisition and transmission module. The data acquisition and transmission module is connected with the intelligent management system module. The intelligent management system module is connected with the data storage server, the user operation terminal and the remote monitoring terminal.
[0005] As a preferred scheme, the automatic sampling unit comprises a coal sample inlet, an automatic sampler and a primary conveying belt. The coal sample inlet is arranged above the automatic sampler. The automatic sampler is arranged above the primary conveying belt. The crushing and classifying unit comprises a jaw crusher and a rotary classifier. The jaw crusher is located below the other end of the primary conveying belt. The jaw crusher is connected with the rotary classifier through an intermediate buffer bin. The rotary classifier is provided with a qualified sample outlet and a waste sample outlet.
[0006] As a preferred scheme, the data acquisition and transmission module comprises a data acquisition interface and a data processing and storage unit. The user operation terminal is a user management and permission setting unit. The remote monitoring terminal is a remote monitoring and alarm unit.
[0007] As a preferred embodiment, the data acquisition interface is connected to the data processing and storage unit, and the output of the data processing and storage unit is connected to the intelligent analysis and decision-making unit, the user management and permission setting unit, and the remote monitoring and alarm unit.
[0008] As a preferred embodiment, the intelligent analysis and decision-making unit is used to generate treatment assessment reports and output decision recommendations.
[0009] As a preferred embodiment, the user management and permission setting unit is connected to the user information database.
[0010] As a preferred embodiment, the remote monitoring and alarm unit is connected to the alarm notification module and the remote monitoring interface.
[0011] Compared with the prior art, the beneficial effects of this utility model are:
[0012] This invention significantly reduces manual operation steps and greatly improves the speed of coal quality testing through automated sample processing and testing analysis. It can complete a large number of sample tests in a short time and meet the needs of high-efficiency testing.
[0013] This invention effectively reduces the interference of human factors on the test results. Each test device adopts high-precision sensors and advanced detection technology, combined with intelligent data processing and calibration algorithms, which significantly improves the accuracy and repeatability of the test results and provides a reliable basis for judging coal quality.
[0014] This utility model's intelligent management system module can perform in-depth analysis and mining of detection data, providing a scientific basis for coal quality assessment and decision-making. At the same time, the remote monitoring and alarm functions facilitate timely detection and handling of problems, improving management efficiency.
[0015] This invention reduces direct contact between operators and coal samples and testing equipment, lowers the risk of injury to operators during work, and creates a safe working environment. Attached Figure Description
[0016] Fig. 1 This is a schematic diagram of the overall structure of this utility model;
[0017] Fig. 2 This is a flowchart of the sample processing procedure for this utility model.
[0018] Fig. 3 This is a schematic diagram of the system of this utility model. Detailed Implementation
[0019] The present invention will be further described below with reference to the embodiments.
[0020] The following embodiments are used to illustrate the present invention, but should not be used to limit the scope of protection of the present invention. The conditions in the embodiments can be further adjusted according to specific conditions, and simple improvements to the method of the present invention under the premise of the concept of the present invention are all within the scope of protection claimed by the present invention.
[0021] Please see Figs. 1-3 This utility model provides a coal quality testing and analysis platform, including an automatic sampling unit, a crushing and reduction unit, an automatic industrial analyzer, an elemental analyzer, a fully automatic calorimeter, a data acquisition and transmission module, an intelligent management system module, a data storage server, a user operation terminal, and a remote monitoring terminal. The automatic sampling unit is connected to the crushing and reduction unit, which is connected to the automatic industrial analyzer, the elemental analyzer, and the fully automatic calorimeter. All three analyzers are connected to the data acquisition and transmission module. By setting up an industrial analysis unit, an elemental analysis unit, and a calorific value detection unit, the industrial analysis unit, equipped with an advanced automatic industrial analyzer, can simultaneously and rapidly analyze key indicators such as moisture, ash content, and volatile matter of coal samples. The analyzer utilizes thermogravimetric analysis principles, employing an intelligent temperature control system to precisely regulate heating temperature and time, automatically recording sample mass changes at different temperature stages, and accurately calculating various industrial analytical indicators using a built-in algorithm. The elemental analysis unit uses a high-end elemental analyzer to accurately determine the content of elements such as carbon, hydrogen, oxygen, nitrogen, and sulfur in coal. Based on combustion methods and advanced chromatographic separation technology, the high-end elemental analyzer leverages intelligent gas flow control and a high-sensitivity detection system to achieve high-precision analysis of elemental content. The calorific value detection unit uses a fully automatic calorimeter to detect the calorific value of coal. Equipped with a high-precision temperature sensor and an intelligent stirring system, the calorimeter accurately measures the heat released during coal combustion and automatically calculates the calorific value using a built-in professional algorithm.
[0022] The data acquisition and transmission module is connected to the intelligent management system module. The data acquisition and transmission module includes a sensor acquisition unit and a data transmission unit. The sensor acquisition unit installs high-precision sensors in each detection device, including temperature sensors, pressure sensors, and mass sensors, to collect key data in real time during the detection process, such as temperature changes, pressure fluctuations, and sample mass changes. The mass sensor is set in the sample placement area and can sensitively capture the mass changes of the sample at different temperature stages, helping to accurately determine key indicators such as moisture, ash content, and volatile matter in coal. Within the elemental analyzer, a gas pressure sensor is installed in the gas delivery pipeline to monitor pressure changes in the post-combustion mixture during chromatographic separation, ensuring stable operation of the gas flow control system and guaranteeing the accuracy of elemental analysis. A sensor for detecting the gas signal intensity corresponding to a specific element is placed in the core area of the detection system, directly sensing the signal characteristics after the element is converted into a gas, thereby accurately determining the content of elements such as carbon, hydrogen, oxygen, nitrogen, and sulfur in coal. In the fully automatic calorimeter, a high-precision temperature sensor is closely fitted to key parts of the calorimetric system, sensitively capturing the temperature rise and rate of change during coal combustion, providing crucial data for accurate calculation of calorific value. Data acquisition frequency setting: based on the detection... The time characteristics of the measurement process and the dynamic range of data changes are scientifically and rationally set to determine the data acquisition frequency of the sensor. For parameters that change slowly during the detection process, such as the temperature of the heating furnace in the long-term stable phase in an automatic industrial analyzer, the temperature sensor is set to a lower acquisition frequency, acquiring data once every [X] seconds. This can fully meet the detection requirements and effectively reduce the pressure of data storage and transmission. However, in the stage where data changes drastically, such as the instant of coal combustion, for example, in the early stage of sample combustion in a fully automatic calorimeter, the acquisition frequency of the temperature sensor will be greatly increased to [X] times per second to ensure that the rapid temperature change curve during combustion can be fully captured, providing sufficient data support for the accurate calculation of calorific value.
[0023] The data transmission unit transmits sensor-collected data to the intelligent management system module in real time via wired (e.g., high-speed Ethernet) or wireless (e.g., Wi-Fi, Bluetooth) communication technologies. During transmission, the data undergoes preprocessing. For example, the collected analog signals are converted into digital signals for easier subsequent transmission and processing using an analog-to-digital converter. Simultaneously, digital filtering algorithms are employed to remove noise interference, such as mean filtering and median filtering, to smooth the data collected by temperature and pressure sensors. This improves data accuracy and stability, minimizing the impact of abnormal fluctuations on the detection results. Furthermore, advanced encryption technology is used during data transmission to ensure data security and integrity, preventing data leakage and tampering.
[0024] The intelligent management system module is connected to the data storage server, user operation terminal, and remote monitoring terminal. This module includes a data processing and storage unit, an intelligent analysis and decision-making unit, a user management and permission setting unit, and a remote monitoring and alarm unit. The data processing and storage unit processes the transmitted data in real time, uses professional algorithms to identify and remove outliers, performs data calibration and deep calculations to obtain accurate coal quality testing results, and stores the processed data in a professional database for easy subsequent querying and in-depth analysis. The intelligent analysis and decision-making unit uses big data analysis and artificial intelligence algorithms to deeply mine the stored historical data, such as constructing accurate quality prediction models based on multi-dimensional information like coal origin, mining method, and past testing data. The system can predict the quality indicators of newly arrived coal in advance; based on the test results and preset quality standards, it can automatically generate quality assessment reports and decision-making suggestions, such as determining whether the coal meets usage requirements and whether further processing is needed; the user management and permission setting unit allows for refined management of platform users, setting different user roles and permissions, with administrators having the highest permissions and being able to perform operations such as setting system parameters and modifying data; testing personnel can only perform testing operations and view their own testing data; auditors are responsible for reviewing the test results to ensure compliance; the remote monitoring and alarm unit enables remote real-time monitoring of the platform's operating status via the network, allowing real-time viewing of the working status of each module, equipment operating parameters, etc., and automatically sending alarm information to the mobile phones or computer terminals of relevant personnel in case of abnormal test results or equipment failure, facilitating timely response and handling;
[0025] Furthermore, the testing platform adopts a robust and durable metal frame structure to ensure the overall stability and reliability of the platform. The operation interface features a user-friendly touchscreen design, making it convenient for operators to set parameters, start tests, and view results, thus improving operational convenience.
[0026] The automatic sampling unit includes a coal sample inlet, an automatic sampler, and a primary conveyor belt. The coal sample inlet is located above the automatic sampler, and the automatic sampler is located above the primary conveyor belt. By setting up the automatic sampling unit, the automatic sampling unit is equipped with a front-end automatic sampling device. This device can accurately collect representative coal samples on the coal conveyor belt or in the coal pile according to a preset program.
[0027] The crushing and reducing unit includes a jaw crusher and a rotary divider. The jaw crusher is located below the other end of the primary conveyor belt and is connected to the rotary divider through an intermediate buffer chamber. The rotary divider has a qualified sample outlet and a waste sample outlet. By setting up the crushing and reducing unit, the unit is responsible for crushing and reducing the collected samples. The crusher is an intelligently controlled jaw crusher that monitors the sample hardness in real time through built-in sensors and automatically adjusts the crushing force and time according to the target particle size requirements to achieve precise crushing. The divider uses an advanced rotary divider driven by a high-efficiency motor, which can accurately reduce the crushed sample according to a predetermined ratio, providing an appropriate amount of representative samples for subsequent testing.
[0028] The data acquisition and transmission module includes a data acquisition interface and a data processing and storage unit; the user operation terminal is configured as a user management and permission setting unit; the remote monitoring terminal is configured as a remote monitoring and alarm unit.
[0029] The data acquisition interface is connected to the data processing and storage unit, and the output of the data processing and storage unit is connected to the intelligent analysis and decision-making unit, the user management and permission setting unit, and the remote monitoring and alarm unit. By setting up a data acquisition and transmission module, the sensors of the data acquisition and transmission module adopt high-precision products with strong anti-interference capabilities to ensure the accuracy of the acquired data. The data transmission equipment (such as high-performance routers, switches, etc.) has high-speed and stable data transmission capabilities to ensure the timeliness and integrity of data transmission.
[0030] The intelligent analysis and decision-making unit is used to generate treatment assessment reports and output decision recommendations. The user management and permission setting unit is connected to the user information database. The remote monitoring and alarm unit is connected to the alarm notification module and the remote monitoring interface.
[0031] The working principle and usage process of this utility model are as follows: 1) Sample processing process: After the coal enters the testing stage, the automatic sampling equipment accurately collects samples on the coal conveyor belt or in the coal pile according to the preset program. The collected samples are then transported to the crushing and reducing unit. The crusher crushes the samples according to the set particle size requirements, and the reducing unit further reduces the crushed samples proportionally to obtain the amount of samples that meet the testing requirements.
[0032] 2) Detection and Analysis Process: The reduced samples are then fed into the industrial analysis unit, elemental analysis unit, and calorific value detection unit. In the industrial analysis unit, an automated industrial analyzer heats the sample according to a pre-set program and determines indicators such as moisture, ash, and volatile matter through thermogravimetric analysis. In the elemental analysis unit, the elemental analyzer burns the sample and analyzes the content of elements such as carbon, hydrogen, oxygen, nitrogen, and sulfur through chromatographic separation and gas detection. In the calorific value detection unit, a fully automated calorimeter measures the heat released by the sample combustion and calculates the calorific value.
[0033] 3) Data acquisition and transmission process: During the testing process, the sensors in each testing device collect data such as temperature, pressure, and mass changes in real time, and transmit these data to the intelligent management system module through the data transmission unit;
[0034] 4) Intelligent Management System Workflow: The data processing and storage unit of the intelligent management system module receives, processes, and stores the transmitted data; the intelligent analysis and decision-making unit uses big data analysis and artificial intelligence algorithms to analyze the data and generate quality assessment reports and decision recommendations; the user management and permission setting unit manages users and assigns permissions; the remote monitoring and alarm unit monitors the platform's operating status in real time and sends alarm information promptly in case of any abnormality.
[0035] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.
[0036] Sensor Selection and Installation: We rigorously select suitable high-precision sensors to meet the unique requirements of various testing equipment and different testing parameters. In automated industrial analyzers, temperature sensors are precisely installed at key locations in the heating furnace to monitor temperature changes in real time during the heating process. This ensures that the intelligent temperature control system can accurately regulate the heating temperature, providing a stable and precise temperature environment for coal industry analysis.
[0037] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A coal quality testing and analysis platform, comprising an automatic sampling unit, a crushing and reducing unit, an automatic industrial analyzer, an elemental analyzer, a fully automatic calorimeter, a data acquisition and transmission module, an intelligent management system module, a data storage server, a user operation terminal, and a remote monitoring terminal, characterized in that: The automatic sampling unit is connected to the crushing and reducing unit, which is connected to the automatic industrial analyzer, the elemental analyzer, and the fully automatic calorimeter. The automatic industrial analyzer, the elemental analyzer, and the fully automatic calorimeter are all connected to the data acquisition and transmission module. The data acquisition and transmission module is connected to the intelligent management system module, which is connected to the data storage server, the user operation terminal, and the remote monitoring terminal.
2. The coal quality testing and analysis platform according to claim 1, characterized in that: The automatic sampling unit includes a coal sample inlet, an automatic sampler, and a primary conveyor belt. The coal sample inlet is located above the automatic sampler, and the automatic sampler is located above the primary conveyor belt. The crushing and reducing unit includes a jaw crusher and a rotary reducer. The jaw crusher is located below the other end of the primary conveyor belt. The jaw crusher is connected to the rotary reducer through an intermediate buffer chamber. The rotary reducer has a qualified sample outlet and a waste sample outlet.
3. The coal quality testing and analysis platform according to claim 1, characterized in that: The data acquisition and transmission module includes a data acquisition interface and a data processing and storage unit; the user operation terminal is configured as a user management and permission setting unit; and the remote monitoring terminal is configured as a remote monitoring and alarm unit.
4. The coal quality testing and analysis platform according to claim 3, characterized in that: The data acquisition interface is connected to the data processing and storage unit, and the output of the data processing and storage unit is connected to the intelligent analysis and decision-making unit, the user management and permission setting unit, and the remote monitoring and alarm unit.
5. The coal quality testing and analysis platform according to claim 1, characterized in that: The intelligent analysis and decision-making unit is used to generate treatment assessment reports and output decision recommendations.
6. The coal quality testing and analysis platform according to claim 1, characterized in that: The user management and permission setting unit is connected to the user information database.
7. The coal quality testing and analysis platform according to claim 1, characterized in that: The remote monitoring and alarm unit is connected to the alarm notification module and the remote monitoring interface.