Remote monitoring system for temperature of coal conveying belt

Abstract

The invention discloses a remote monitoring system for the temperature of a coal conveying belt. The remote monitoring system comprises a temperature sensor module, a data transmission module, a data processing module, an alarm module, a self-checking module and a remote monitoring terminal, the temperature sensor modules are distributed in the length direction and the width direction of the coal conveying belt and used for collecting temperature data of the surface and the interior of the belt in real time. The data transmission module is connected with the temperature sensor module. When the scheme is implemented, the temperature sensor modules are distributed, the whole-area coverage monitoring of the coal conveying belt is realized, and the wireless data transmission and data processing modules are combined, so that the monitoring real-time performance and accuracy are remarkably improved, and the manual inspection cost is reduced; and when early warning occurs, graded early warning can be carried out to guide workers to carry out corresponding processing, so that the response processing time of the workers is greatly shortened.

Description

Technical Field

[0001] The present application relates to the field of temperature monitoring technology, and in particular to a remote monitoring system for the temperature of a coal conveyor belt. Background Art

[0002] Coal conveyor belts are important devices for coal transportation. During continuous operation, they often experience abnormal temperature increases in local areas due to factors such as friction loss, material blockage or equipment aging. If not discovered and handled in time, it is very easy to cause fire accidents or equipment damage.

[0003] However, current methods for monitoring coal conveyor belt temperature have many limitations: Currently, they rely primarily on manual inspections, with workers using handheld infrared temperature measuring devices to conduct inspections at fixed intervals. This model is not only inefficient but also struggles to achieve seamless coverage of the entire belt length, making it prone to missed detections in the event of sudden temperature rises. Existing temperature monitoring systems mostly use single-point temperature sensors with a limited monitoring range, making it difficult to fully capture temperature data from all areas on the belt surface and within, resulting in numerous blind spots in monitoring. Currently, widely used early warning systems primarily issue alarms based on fixed thresholds and are unable to dynamically adjust to actual operating conditions (such as ambient temperature fluctuations, changes in load size, etc.), resulting in a high rate of false alarms and impacting the accuracy and effectiveness of early warnings.

[0004] Based on this, there is an urgent need for a remote monitoring system that can monitor the temperature of the coal conveyor belt in real time and comprehensively, and combine intelligent analysis to achieve accurate early warning. Summary of the Invention

[0005] To this end, the present application provides a remote monitoring system for the temperature of a coal conveyor belt to solve the problems of the prior art, such as the traditional inefficiency of the inspection method, the defects in the sensor layout, and the lack of flexibility of the early warning mechanism.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] In a first aspect, a remote monitoring system for coal conveyor belt temperature includes a temperature sensor module, a data transmission module, a data processing module, an alarm module, a self-test module, and a remote monitoring terminal;

[0008] There are multiple temperature sensor modules, which are distributed along the length and width of the coal conveyor belt to collect real-time surface and internal temperature data of the belt;

[0009] The data transmission module is connected to the temperature sensor module, and the data transmission module sends the temperature data to the remote monitoring terminal based on the wireless communication protocol;

[0010] The data processing module is set in the remote monitoring terminal, and is used to perform fusion analysis on the temperature data and identify abnormal temperature rise areas;

[0011] The alarm module is connected to the data processing module, and is triggered according to the degree of abnormal temperature rise of the coal conveyor belt, and the alarm module can perform graded alarms;

[0012] The remote monitoring terminal is integrated with a visual interface, which is used to display the belt temperature distribution and alarm information in real time;

[0013] The self-check module is used to periodically detect the working status of the temperature sensor module, data transmission module, data processing module, alarm module and remote monitoring terminal, and when a fault occurs, the self-check module can automatically report the fault information.

[0014] Preferably, the multiple temperature sensor modules are divided into a longitudinal sensor group and a transverse sensor group, and a temperature sensor is arranged at intervals of 3-5 meters along the length direction of the coal conveyor belt, and the temperature sensors arranged longitudinally along the coal conveyor belt constitute a longitudinal sensor group; the temperature sensors are arranged in a staggered manner along the width direction of the belt to cover the edge and center area of the belt, and the temperature sensors arranged transversely along the coal conveyor belt constitute a transverse sensor group; the longitudinal sensor group and the transverse sensor group form a grid monitoring node.

[0015] Preferably, the data transmission module adopts a wireless Mesh network architecture including multiple relay nodes and data aggregation nodes;

[0016] Multiple relay nodes are deployed at intervals along the length of the coal conveyor belt to form an ad hoc network link;

[0017] The data aggregation node is connected to the relay node for communication, and the data aggregation node uploads the temperature data to the remote monitoring terminal;

[0018] The relay node supports multi-hop transmission and automatically switches the routing path when a single node fails.

[0019] Preferably, the data processing module includes a temperature anomaly identification unit, a temperature rise trend prediction unit and a multi-sensor data fusion unit;

[0020] The temperature anomaly recognition unit can dynamically generate adaptive thresholds based on historical temperature data;

[0021] The temperature rise trend prediction unit can combine time series analysis to predict the temperature change trend in the next 5-10 minutes;

[0022] The multi-sensor data fusion unit can perform weighted averaging and consistency verification on multi-sensor data in the same area.

[0023] Preferably, the alarm module includes a primary alarm unit and a secondary alarm unit, and the primary alarm unit and the secondary alarm unit perform a hierarchical alarm function;

[0024] When the local temperature exceeds the dynamic threshold, the first-level alarm unit is triggered, and the first-level alarm unit is an audible and visual alarm;

[0025] When it is detected that the temperature rise rate exceeds the preset safety range, the secondary alarm unit is triggered, and the secondary alarm unit automatically links the sprinkler system or the shutdown protection device.

[0026] Preferably, the visual interface of the remote monitoring terminal has a temperature distribution thermogram, a historical temperature curve graph and an alarm log management interface;

[0027] The temperature distribution thermodynamic map displays the real-time temperature of each area of the coal conveyor belt in a color gradient;

[0028] The historical temperature curve graph is used to show the temperature changes in a specified area within a set time period;

[0029] The alarm log management interface is used to record the alarm time, location and processing status.

[0030] Preferably, the temperature sensor is a composite structure of an infrared temperature sensor and a contact thermocouple, wherein the infrared temperature sensor faces the belt surface and is used for non-contact measurement of the surface temperature of the coal conveyor belt; the contact thermocouple is embedded in the bearing layer of the coal conveyor belt and is used to monitor the internal temperature of the coal conveyor belt.

[0031] Preferably, the self-check module includes a sensor health status detection unit, a communication quality assessment unit, and a fault location unit;

[0032] The sensor health status detection unit is used to periodically send self-check instructions to each sensor node;

[0033] The communication quality assessment unit is used to monitor the signal strength and packet loss rate in real time;

[0034] The fault location unit is used to generate a fault location and type report based on the self-test results.

[0035] Preferably, it further includes a data storage module, which includes a local storage unit, a cloud storage unit and a data compression unit;

[0036] The local storage unit is used to cache the raw temperature data of the last 72 hours;

[0037] The cloud storage unit is synchronized with the remote monitoring terminal for long-term storage of key alarm data and analysis results;

[0038] The data compression unit uses a lossless compression algorithm to compress the stored data to reduce storage space occupation.

[0039] Compared with the prior art, this application has at least the following beneficial effects:

[0040] When this solution is implemented, the temperature sensor modules are distributed to achieve full-area coverage monitoring of the coal conveyor belt. Combined with wireless data transmission and data processing modules, the real-time and accuracy of monitoring are significantly improved, and the cost of manual inspections is reduced. In addition, when an early warning occurs, a graded early warning can be carried out to guide staff to take corresponding measures, greatly shortening the staff's response processing time. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] To more intuitively illustrate the prior art and the present application, exemplary drawings are provided below. It should be understood that the specific shapes and structures shown in the drawings should not generally be considered as limiting conditions for implementing the present application; for example, based on the technical concepts disclosed in this application and the exemplary drawings, those skilled in the art are capable of easily making routine adjustments or further optimizations to the addition / reduction / attribution division, specific shapes, positional relationships, connection methods, dimensional ratios, etc. of certain units (components).

[0042] Figure 1 This is a module diagram of a remote monitoring system for coal conveyor belt temperature in this application. DETAILED DESCRIPTION

[0043] The present application will be further described below in detail through specific embodiments in conjunction with the accompanying drawings.

[0044] like Figure 1 As shown, a coal conveyor belt temperature remote monitoring system includes a temperature sensor module, a data transmission module, a data processing module, an alarm module, a self-test module and a remote monitoring terminal;

[0045] There are multiple temperature sensor modules, which are distributed along the length and width of the coal conveyor belt and are used to collect real-time surface and internal temperature data of the belt. By setting the temperature sensor modules along the length and width of the coal conveyor belt, different areas of the coal conveyor belt can be monitored, ensuring that each position of the coal conveyor belt can operate within the predetermined range. Once the temperature of a certain position is abnormal, the temperature sensor module can detect it in time;

[0046] The data transmission module is connected to the temperature sensor module, and the data transmission module sends the temperature data to the remote monitoring terminal based on the wireless communication protocol;

[0047] The data processing module is set in the remote monitoring terminal. The data processing module is used to perform fusion analysis on the temperature data and identify the abnormal temperature rise area. The data processing module processes and analyzes the data collected by the temperature sensor module to determine whether the temperature of the coal conveyor belt is within the normal range. When the temperature of the temperature sensor module is within the abnormal range, the data processing module can identify it for subsequent processing;

[0048] The alarm module is connected to the data processing module and is triggered according to the degree of abnormal temperature rise of the coal conveyor belt. The alarm module can also perform graded alarms. When the coal conveyor belt is in normal use, the temperature generally rises slowly and steadily when it heats up, and after reaching a certain temperature, the heat of the coal conveyor belt generally does not change. When the coal conveyor belt has an abnormal temperature rise, it indicates that there is a fault or other condition on the coal conveyor belt, and the faster the temperature rise, the more serious the problem.

[0049] The remote monitoring terminal is integrated with a visual interface that displays the belt temperature distribution and alarm information in real time. The visual interface allows management personnel to easily view the overall condition of the coal conveyor belt.

[0050] The self-check module is used to periodically detect the working status of the temperature sensor module, data transmission module, data processing module, alarm module and remote monitoring terminal, and when a fault occurs, the self-check module can automatically report the fault information.

[0051] When implementing this solution, the temperature sensor modules are distributed to achieve full-area coverage monitoring of the coal conveyor belt. Combined with wireless data transmission and data processing modules, the real-time and accuracy of monitoring are significantly improved, and the cost of manual inspections is reduced.

[0052] The multiple temperature sensor modules are divided into a longitudinal sensor group and a transverse sensor group. A temperature sensor is arranged at intervals of 3-5 meters along the length of the coal conveyor belt (the spacing can be changed according to actual working conditions). The temperature sensors arranged longitudinally along the coal conveyor belt constitute the longitudinal sensor group; the temperature sensors are arranged in a staggered manner along the width of the belt to cover the belt edges and center area, and the temperature sensors arranged transversely along the coal conveyor belt constitute the transverse sensor group. The longitudinal sensor group and the transverse sensor group form a grid monitoring node. The layout of the grid monitoring node eliminates monitoring blind spots, especially focusing on the friction-prone areas at the belt edges, improving the accuracy of locating abnormal temperature rises, and ensuring that the location of abnormal temperature rises on the coal conveyor belt can be discovered in a timely manner.

[0053] The data transmission module adopts a wireless Mesh network architecture including multiple relay nodes and data aggregation nodes. The Mesh network architecture enhances signal coverage and anti-interference capabilities, ensuring the continuity and reliability of data transmission in complex industrial environments.

[0054] Multiple relay nodes are deployed at intervals along the length of the coal conveyor belt to form an ad hoc network link;

[0055] The data aggregation node is connected to the relay node for communication, and the data aggregation node uploads the temperature data to the remote monitoring terminal;

[0056] The relay node supports multi-hop transmission and automatically switches the routing path when a single node fails, so as to ensure that when a relay node fails, other relay nodes can still transmit temperature data, thereby ensuring comprehensive monitoring of the coal conveyor belt.

[0057] The data processing module includes a temperature anomaly identification unit, a temperature rise trend prediction unit and a multi-sensor data fusion unit;

[0058] The temperature anomaly recognition unit can dynamically generate an adaptive threshold based on historical temperature data, that is, the temperature anomaly recognition unit can dynamically generate a threshold based on historical temperature data, and compare and judge the current temperature data based on the threshold to identify whether an anomaly occurs;

[0059] The temperature rise trend prediction unit can combine time series analysis to predict the temperature change trend in the next 5-10 minutes. By predicting the temperature trend, the staff can understand the operating status of the coal conveyor belt;

[0060] The multi-sensor data fusion unit can perform weighted averaging and consistency verification on multi-sensor data in the same area.

[0061] The alarm module includes a primary alarm unit and a secondary alarm unit, which perform a hierarchical alarm function;

[0062] When the local temperature exceeds the dynamic threshold, the first-level alarm unit is triggered. The first-level alarm unit is an audible and visual alarm. In this case, it means that the problem is minor and the on-site staff can deal with the scene in time according to the alarm prompt;

[0063] When it is detected that the temperature rise rate exceeds the preset safety range, the secondary alarm unit is triggered. The secondary alarm unit automatically links the sprinkler system or the shutdown protection device. In this case, the problem is relatively large. Timely shutdown and activation of the sprinkler system can effectively reduce losses.

[0064] During actual implementation, it may also include a three-level alarm unit, a four-level alarm unit, and the like.

[0065] The remote monitoring terminal's visual interface includes a temperature distribution thermogram, a historical temperature curve graph, and an alarm log management interface. The visual interface intuitively presents key information, making it easy for operators to quickly locate abnormal areas and trace historical data.

[0066] The temperature distribution thermodynamic map displays the real-time temperature of each area of the coal conveyor belt with a color gradient, making the temperature on the coal conveyor belt more clear and intuitive;

[0067] The historical temperature curve is used to display the temperature changes in a specified area within a set time period, so that staff can check the historical temperature;

[0068] The alarm log management interface is used to record the alarm time, location and processing status, which makes it easier to grasp the alarm situation and also allows users to make statistical summaries of the alarm situation.

[0069] The temperature sensor is a composite structure of an infrared temperature sensor and a contact thermocouple, wherein the infrared temperature sensor faces the belt surface and is used for non-contact measurement of the surface temperature of the coal conveyor belt; the contact thermocouple is embedded in the bearing layer of the coal conveyor belt and is used to monitor the internal temperature of the coal conveyor belt. The composite sensor structure can synchronously monitor the surface and internal temperatures of the belt to avoid data distortion caused by external environmental interference (such as dust and water vapor).

[0070] The self-check module includes a sensor health status detection unit, a communication quality assessment unit, and a fault location unit. The setting of the self-check function reduces the difficulty of system maintenance, and the fault location report can guide maintenance personnel to quickly troubleshoot problems and improve system availability;

[0071] The sensor health status detection unit is used to periodically send self-test instructions to each sensor node. When a sensor fails, it can be discovered and processed in time.

[0072] The communication quality assessment unit is used to monitor the signal strength and packet loss rate in real time, so as to handle the problem in time and ensure the long-term safe use of the coal conveyor belt;

[0073] The fault location unit is used to generate a fault location and type report based on the self-test results.

[0074] It also includes a data storage module, which includes a local storage unit, a cloud storage unit, and a data compression unit. The dual backup storage mechanism ensures data security, and the compression algorithm reduces storage resource consumption and supports long-term data analysis.

[0075] The local storage unit is used to cache the original temperature data of the last 72 hours (or other time, which can be adjusted according to actual needs);

[0076] The cloud storage unit is synchronized with the remote monitoring terminal for long-term storage of key alarm data and analysis results. The cloud storage unit can reduce the need for hardware and reduce the implementation cost of the system.

[0077] The data compression unit uses a lossless compression algorithm to compress the stored data to reduce storage space occupation.

[0078] The technical features of the above embodiments can be combined arbitrarily (as long as there is no contradiction in the combination of these technical features). In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written should also be considered to be within the scope of this specification.

Claims

1. A coal conveyor belt temperature remote monitoring system, characterized in that: It includes temperature sensor module, data transmission module, data processing module, alarm module, self-test module and remote monitoring terminal; There are multiple temperature sensor modules, which are distributed along the length and width of the coal conveyor belt to collect real-time surface and internal temperature data of the belt; The data transmission module is connected to the temperature sensor module, and the data transmission module sends the temperature data to the remote monitoring terminal based on the wireless communication protocol; The data processing module is set in the remote monitoring terminal, and is used to perform fusion analysis on the temperature data and identify abnormal temperature rise areas; The alarm module is connected to the data processing module, and is triggered according to the degree of abnormal temperature rise of the coal conveyor belt, and the alarm module can perform graded alarms; The remote monitoring terminal is integrated with a visual interface, which is used to display the belt temperature distribution and alarm information in real time; The self-check module is used to periodically detect the working status of the temperature sensor module, data transmission module, data processing module, alarm module and remote monitoring terminal, and when a fault occurs, the self-check module can automatically report the fault information.

2. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The multiple temperature sensor modules are divided into a longitudinal sensor group and a transverse sensor group. A temperature sensor is arranged at intervals of 3-5 meters along the length of the coal conveyor belt, and the temperature sensors arranged longitudinally along the coal conveyor belt constitute the longitudinal sensor group; the temperature sensors are arranged in an staggered manner along the width of the belt to cover the edge and center area of the belt, and the temperature sensors arranged transversely along the coal conveyor belt constitute the transverse sensor group; the longitudinal sensor group and the transverse sensor group form a grid monitoring node.

3. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The data transmission module adopts a wireless mesh network architecture including multiple relay nodes and data aggregation nodes; Multiple relay nodes are deployed at intervals along the length of the coal conveyor belt to form an ad hoc network link; The data aggregation node is connected to the relay node for communication, and the data aggregation node uploads the temperature data to the remote monitoring terminal; The relay node supports multi-hop transmission and automatically switches the routing path when a single node fails.

4. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The data processing module includes a temperature anomaly identification unit, a temperature rise trend prediction unit and a multi-sensor data fusion unit; The temperature anomaly recognition unit can dynamically generate adaptive thresholds based on historical temperature data; The temperature rise trend prediction unit can combine time series analysis to predict the temperature change trend in the next 5-10 minutes; The multi-sensor data fusion unit can perform weighted averaging and consistency verification on multi-sensor data in the same area.

5. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The alarm module includes a primary alarm unit and a secondary alarm unit, which perform a hierarchical alarm function; When the local temperature exceeds the dynamic threshold, the first-level alarm unit is triggered, and the first-level alarm unit is an audible and visual alarm; When it is detected that the temperature rise rate exceeds the preset safety range, the secondary alarm unit is triggered, and the secondary alarm unit automatically links the sprinkler system or the shutdown protection device.

6. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The visual interface of the remote monitoring terminal has a temperature distribution thermodynamic map, a historical temperature curve map and an alarm log management interface; The temperature distribution thermodynamic map displays the real-time temperature of each area of the coal conveyor belt in a color gradient; The historical temperature curve graph is used to show the temperature changes in a specified area within a set time period; The alarm log management interface is used to record the alarm time, location and processing status.

7. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The temperature sensor is a composite structure of an infrared temperature sensor and a contact thermocouple, wherein the infrared temperature sensor faces the belt surface and is used for non-contact measurement of the surface temperature of the coal conveyor belt; the contact thermocouple is embedded in the bearing layer of the coal conveyor belt and is used to monitor the internal temperature of the coal conveyor belt.

8. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: The self-check module includes a sensor health status detection unit, a communication quality assessment unit and a fault location unit; The sensor health status detection unit is used to periodically send self-check instructions to each sensor node; The communication quality assessment unit is used to monitor the signal strength and packet loss rate in real time; The fault location unit is used to generate a fault location and type report based on the self-test results.

9. A coal conveyor belt temperature remote monitoring system according to claim 1, characterized in that: It also includes a data storage module, which includes a local storage unit, a cloud storage unit and a data compression unit; The local storage unit is used to cache the raw temperature data of the last 72 hours; The cloud storage unit is synchronized with the remote monitoring terminal for long-term storage of key alarm data and analysis results; The data compression unit uses a lossless compression algorithm to compress the stored data to reduce storage space occupation.

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