Method and system for preventing wagon balance of coal-fired power plant from being inaccurate due to water freezing of slag water in winter

Abstract

The invention provides a method and system for avoiding misalignment of a coal-fired power plant weighbridge due to freezing of slag water in winter, and the method comprises the steps: monitoring the state parameters of a weighbridge scale body in real time, the state parameters comprising ice layer information between a weighing platform and a basic structure, scale body temperature field distribution information and environment temperature and humidity information; based on the state parameters, whether a deicing triggering condition is met or not is judged through a preset intelligent decision model; if the deicing triggering condition is met, synchronously starting a regional gradient heating process and a self-adaptive drainage process; the judgment result of the state parameter and the deicing triggering condition and the operation state of the gradient heating process and the drainage process are subjected to data interaction with a superior monitoring system, system linkage and early warning are achieved, freezing detection and deicing operation are actively carried out, freezing is fundamentally and accurately, automatically and efficiently prevented, and the working efficiency is improved. And the defect of water drainage after ice melting is synchronously solved.

Description

Technical Field

[0001] This invention relates to the field of de-icing technology, and in particular to a method and system for preventing weighbridges in coal-fired power plants from becoming inaccurate in winter due to freezing of slag and water. Background Technology

[0002] In the operation of coal-fired power plants, weighbridges are crucial equipment for weighing vehicles transporting ash and coal slag for settlement. However, in the harsh winter environment, moisture released from the slag easily freezes into ice on the surface of the weighbridge and in the gaps between the weighbridge and the foundation structure. The formation and freezing of ice can lead to two serious consequences: first, the ice itself acts as additional attached weight, resulting in inaccurate weighing values; second, the ice can freeze the weighbridge and the foundation structure together, severely hindering the free movement of the weighing body, causing the load cells to fail to accurately sense the load, and rendering the entire weighing system ineffective.

[0003] Currently, power plants commonly use methods such as manual ice removal, spreading de-icing agents, or constructing integrated insulated sheds to address this problem. However, these methods have significant drawbacks: manual ice removal is inefficient, dangerous, and cannot be done in real time; de-icing agents are corrosive and long-term use can damage the weighing structure; and constructing integrated insulated sheds consumes a great deal of energy and incurs huge operating costs. More importantly, these traditional methods are all passive or extensive measures that cannot fundamentally prevent freezing accurately, automatically, and efficiently, nor can they simultaneously solve the drainage problem after ice melts, leading to frequent weighing discrepancies and settlement disputes in winter. Summary of the Invention

[0004] This invention provides a method and system for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter. It addresses the shortcomings of existing technologies where de-icing is a passive process, which cannot fundamentally prevent freezing accurately, automatically, and efficiently, and simultaneously solve the drainage problem after ice melt.

[0005] In a first aspect, the present invention provides a method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, comprising:

[0006] Real-time monitoring of the weighbridge's status parameters, including information on the ice layer between the weighbridge platform and the foundation structure, the temperature field distribution of the weighbridge, and the ambient temperature and humidity.

[0007] Based on the aforementioned state parameters, a preset intelligent decision-making model is used to determine whether the de-icing trigger condition has been met.

[0008] If the aforementioned de-icing triggering condition is met, the regional gradient heating process and the adaptive drainage process will be started simultaneously.

[0009] The regional gradient heating process is configured as follows: a first heating strategy is implemented in the weighing sensor area to maintain constant temperature and prevent freezing; a second heating strategy is implemented in the weighing platform bearing surface to intermittently melt ice; and a third heating strategy is implemented in the drainage path to keep the channel unobstructed.

[0010] The adaptive drainage process is configured to: adjust the attitude of the weighing platform to form a guide tilt angle, and break up the solidified material on the drainage path, so that the liquid sludge water is guided away from the weighing body under the action of gravity;

[0011] The state parameters, the judgment results of the de-icing triggering conditions, and the operating status of the gradient heating process and the drainage process are exchanged with the upper-level monitoring system to achieve system linkage and early warning.

[0012] According to the present invention, a method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter is provided, wherein the real-time monitoring of the weighbridge's status parameters includes:

[0013] Millimeter-wave radar sensors are used to monitor the ice thickness between the weighing platform and the foundation structure.

[0014] Temperature field distribution information is constructed by collecting the temperature of the scale body surface and key nodes through a distributed array of temperature sensors.

[0015] Ambient temperature and humidity information is collected by an ambient temperature and humidity sensor integrated near the scale body.

[0016] According to the present invention, a method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter is provided. The step of determining whether the de-icing trigger condition has been met through a pre-set intelligent decision-making model includes:

[0017] The monitored ambient temperature is compared with a preset temperature threshold.

[0018] The monitored ice thickness is compared with a preset thickness threshold.

[0019] When the ambient temperature is lower than or equal to the temperature threshold and the ice layer thickness is greater than or equal to the thickness threshold, the de-icing trigger condition is determined to be met.

[0020] According to the present invention, a method for preventing weighbridges in coal-fired power plants from becoming inaccurate in winter due to freezing of slag and water is provided, wherein the weighbridge sensor area implements a first heating strategy to maintain a constant temperature and prevent freezing, including:

[0021] A self-regulating electric heating tape is laid around the weighing sensor;

[0022] The temperature of the weighing sensor area is maintained within a preset constant temperature range by means of the self-regulating electric heating tape.

[0023] According to the present invention, a method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter includes implementing a second heating strategy for intermittent ice melting on the weighbridge platform's load-bearing surface, comprising:

[0024] Control the heating element embedded in the load-bearing surface of the weighing platform to cycle on and off according to a preset period;

[0025] The heating element has a shorter start-up time than stop time in a single cycle.

[0026] According to the present invention, a method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter includes implementing a third heating strategy for the drainage path to maintain unobstructed flow, comprising:

[0027] A waterproof electric heating tape is laid along the drainage path;

[0028] When the ambient temperature is lower than or equal to the first preset temperature, the waterproof electric heating tape is activated, and the drainage path is kept at a constant temperature.

[0029] According to the present invention, a method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter is provided, wherein breaking up the solidified material in the drainage path includes:

[0030] The ultrasonic transducer installed in the guide channel is activated to generate high-frequency mechanical vibration to break the ice layer.

[0031] Alternatively, the rotating ice-breaking toothed roller installed in the guide channel can be controlled to mechanically break up the ice layer.

[0032] According to the present invention, a method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, after simultaneously activating the regional gradient heating process and the adaptive drainage process, further includes:

[0033] Collect ice layer information again;

[0034] If the ice information still indicates that freezing exists, the power intensity or duration of the first heating strategy, the second heating strategy, or the third heating strategy is increased.

[0035] A method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, provided by the present invention, further includes:

[0036] Collect and store historical environmental data, de-icing operation energy consumption data, and de-icing effect data;

[0037] Based on the historical environmental data, de-icing operation energy consumption data, and de-icing effect data, an energy efficiency optimization model is trained using a machine learning algorithm. The optimization objective of the model is to minimize the overall energy consumption while ensuring the de-icing effect.

[0038] The real-time collected state parameters are input into the trained energy efficiency optimization model, which dynamically outputs and executes the optimal power allocation scheme and start-stop sequence for the first heating strategy, the second heating strategy, and the third heating strategy.

[0039] Secondly, the present invention provides a system for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, comprising:

[0040] The monitoring module is used to monitor the status parameters of the weighbridge in real time. The status parameters include information on the ice layer between the weighbridge platform and the foundation structure, information on the temperature field distribution of the weighbridge body, and information on the ambient temperature and humidity.

[0041] The judgment module is used to determine whether the de-icing trigger condition has been met based on the state parameters and a preset intelligent decision-making model.

[0042] The heating module is used to simultaneously initiate a regional gradient heating process and an adaptive drainage process if the de-icing trigger condition is met. The regional gradient heating process is configured to: implement a first heating strategy on the weighing sensor area to maintain a constant temperature and prevent freezing; implement a second heating strategy on the weighing platform's load-bearing surface to intermittently melt ice; and implement a third heating strategy on the drainage path to maintain unobstructed flow. The adaptive drainage process is configured to: adjust the weighing platform's posture to form a guiding tilt angle and break up the solidified material on the drainage path, allowing the liquid slag to be guided away from the weighing body under gravity.

[0043] The early warning module is used to exchange data with the upper-level monitoring system to obtain the judgment results of the status parameters, the de-icing trigger conditions, and the operating status of the gradient heating process and the drainage process, so as to realize system linkage and early warning.

[0044] Thirdly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described above for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter.

[0045] Fourthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described above for preventing the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to freezing of slag and water.

[0046] Fifthly, the present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the method described above for preventing the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to freezing of slag and water.

[0047] This invention provides a method and system for preventing weighbridge inaccuracies caused by frozen slag and effluent in coal-fired power plants during winter. Through real-time monitoring and an intelligent decision-making model, it automatically determines and triggers a de-icing process, replacing inefficient and delayed manual intervention and ensuring timely and accurate handling. By simultaneously activating a zoned gradient heating process and an adaptive drainage process, it precisely melts ice using differentiated energy-saving methods, effectively guiding the melted slag and effluent away from the weighbridge body immediately, eliminating the possibility of ice accumulation and adhesion at the source, thus ensuring long-term weighing accuracy. Through data interaction with a monitoring system, it achieves remote monitoring, intelligent early warning, and system linkage, improving the overall operational intelligence and reliability. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating the method provided in this embodiment for preventing the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to the freezing of slag and water.

[0050] Figure 2 This is a schematic diagram of the system provided in this embodiment for preventing the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to the freezing of slag and water.

[0051] Figure 3 This is a schematic diagram of the structure of the electronic device provided in this embodiment. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0053] Figure 1 This is a flowchart illustrating the method provided in this embodiment for preventing the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to the freezing of slag and water.

[0054] like Figure 1As shown in the embodiment of the present invention, the method for avoiding inaccurate weighbridge operation in coal-fired power plants due to freezing of slag and slag in winter is applicable to weighing scenarios involving vehicles transporting ash and coal slag in various coal-fired power plants. The slag transported by coal-fired power plant slag-carrying vehicles typically has a high moisture content. During transportation, slag and slag slurry easily seep out from the gaps in the truck bed, and in the low-temperature winter environment, they easily freeze into ice on the surface of the weighbridge and between the weighbridge and the foundation structure. This not only creates additional attached weight leading to inaccurate weighing, but also causes the weighbridge to stick to the foundation structure, hindering the free movement of the weighbridge and causing sensor failure, which in turn leads to settlement disputes, with annual losses reaching millions of yuan. This embodiment addresses the above problems by achieving fully automatic and precise anti-freezing and de-icing, mainly including the following steps:

[0055] 101. Real-time monitoring of the weighbridge's status parameters, including information on the ice layer between the weighbridge platform and the foundation structure, the temperature field distribution of the weighbridge, and the ambient temperature and humidity.

[0056] Specifically, multiple types of sensors are deployed on and around the weighbridge to be protected, establishing a comprehensive and high-precision status monitoring network to collect key parameters of the weighbridge and the environment in real time, providing data support for subsequent decision-making.

[0057] Ice layer condition monitoring: Millimeter-wave radar sensors are installed at the gap between the weighing platform and the foundation structure to detect the thickness of the ice layer between them in real time with a monitoring accuracy of up to 0.1mm, accurately capturing the formation and development process of the ice layer; at the same time, strain gauge micro-displacement sensors are installed at the weighing platform limiters to detect the freezing adhesion force between the weighing platform and the foundation structure. The range is adapted to the micro-displacement range that the weighing body may produce, and can detect hidden freezing adhesion problems in time.

[0058] Temperature field monitoring: A PT100 temperature sensor array is used, which is distributed in key nodes such as the surface of the scale body, the periphery of the weighing sensor, and the drainage path. By collecting temperature data at multiple points, the temperature field distribution information of the entire scale body is constructed, clearly showing the temperature differences and trends in different areas.

[0059] Environmental parameter monitoring: Install ambient temperature and humidity sensors in a well-ventilated and unobstructed location near the scale to collect real-time temperature and humidity data of the surrounding environment, providing an environmental basis for assessing the risk of freezing.

[0060] The monitoring data from all the above-mentioned sensors are uploaded to the control terminal in real time through a dedicated data transmission module, ensuring the stability and timeliness of data transmission and avoiding problems such as untimely de-icing or misjudgment due to missing or delayed information.

[0061] 102. Based on state parameters, determine whether the de-icing trigger condition has been met through a pre-set intelligent decision-making model.

[0062] Specifically, the control terminal has a built-in intelligent decision-making model optimized for the weighbridge scenario in coal-fired power plants. This model pre-imports anti-freezing and de-icing parameter thresholds adapted to the frigid environment and establishes a data interaction basis with the power plant's DCS system. After receiving real-time data uploaded by the monitoring module, the model automatically executes a dual judgment logic: comparing the ambient temperature collected by the ambient temperature and humidity sensor with the preset temperature threshold; and comparing the ice thickness collected by the millimeter-wave radar sensor with the preset thickness threshold.

[0063] When the ambient temperature is detected to be below or equal to -5℃ and the ice layer thickness is greater than or equal to 2mm, the model immediately determines that the de-icing trigger condition has been met and sends a start command to the execution module. If the above conditions are not met simultaneously, the real-time monitoring state is maintained, and the de-icing process is started on demand through the dual criteria of "temperature + ice layer thickness," avoiding unnecessary energy consumption from the source. At the same time, temperature data is transmitted back to the DCS system in real time, laying the foundation for subsequent system linkage.

[0064] 103. If the de-icing trigger condition is met, the regional gradient heating process and the adaptive drainage process will be started simultaneously.

[0065] After receiving the start command, the execution module simultaneously initiates the regional gradient heating process and the adaptive drainage process to achieve a closed-loop "ice melting-drainage" process, fundamentally eliminating the risk of freezing.

[0066] Regional gradient heating process: Differentiated heating strategies are adopted for different areas of the scale body based on their functional requirements and antifreeze priorities, so as to optimize energy efficiency while ensuring antifreeze effect.

[0067] A power-adaptive self-regulating electric heating tape is pre-laid around the load cell. When this strategy is activated, the electric heating device automatically adjusts its output power according to the real-time temperature of the sensor area in the temperature field, maintaining the temperature of that area stably at 10±2℃ (the anti-freeze critical point). This constant temperature control can prevent the sensor from freezing and sticking to the foundation structure, and also avoid sensor temperature drift caused by drastic temperature fluctuations, ensuring the measurement accuracy of the core weighing components.

[0068] Stainless steel armored heating wires are pre-embedded inside the load-bearing surface of the weighing platform. When this strategy is activated, the heating wires are controlled to cycle on and off according to a preset period, with the start-up time being shorter than the stop time within a single cycle (e.g., 3 minutes of operation / 5 minutes of stop). This intermittent heating gradually melts the ice layer on the load-bearing surface, avoiding energy waste caused by continuous high-temperature heating, and preventing localized overheating damage to the weighing body.

[0069] Waterproof electric heat tracing devices are pre-installed along drainage paths such as drainage channels and insulated drainage pipes. When the ambient temperature is below or equal to 0℃, the device is automatically activated to maintain the temperature of the drainage path at 5℃. This temperature setting prevents the sludge and water in the path from freezing and avoids excessive energy consumption caused by excessively high temperatures, ensuring that the drainage channel is always unobstructed.

[0070] The three heating strategies automatically activate in stages when the ambient temperature is ≤0℃, forming a gradient temperature control system that saves 40% more energy than traditional overall heating methods.

[0071] Adaptive drainage process: Through the synergistic effect of mechanical structure adjustment and solidification crushing, the melted slag water is rapidly diverted away.

[0072] A hydraulic support is installed at the bottom of the weighing platform. After receiving the start command, the hydraulic support moves according to the preset stroke (the stroke can reach 200mm) to adjust the attitude of the weighing platform to form a guide tilt angle of 3° to 5°, providing a stable gravity flow path for the liquid slag.

[0073] An integrated solidification device is incorporated into the V-shaped stainless steel guide channel at the lower end of the weighing platform. If ultrasonic breaking is used, a frequency-matched ultrasonic transducer is activated to generate high-frequency mechanical vibrations that break up the ice layer or solidified slag that has formed in the drainage path. If mechanical breaking is used, the rotating ice-breaking toothed roller is controlled to physically contact and break up the solidified material. Ultrasonic ice breaking replaces manual ice shoveling, avoiding mechanical damage and the risks associated with manual operation.

[0074] The melted liquid slag, guided by an inclined angle and gravity, flows through a V-shaped guide channel into an insulated drainage pipe lined with electric heating, ultimately leading directly to the wastewater tank. The guide channel is made of 316L stainless steel, possessing strong corrosion resistance and a service life exceeding 15 years, reducing equipment maintenance costs.

[0075] 104. The status parameters, the judgment results of the de-icing triggering conditions, and the operating status of the gradient heating process and the drainage process are exchanged with the superior monitoring system to realize system linkage and early warning.

[0076] Specifically, during the heating and drainage process, the monitoring module continuously collects data such as ice layer information, temperature field distribution, and equipment operating conditions, and transmits this data back to the control terminal in real time, forming a dynamic feedback loop. If the data shows that the ice layer has not been completely removed or shows a freezing trend, the control terminal automatically sends an adjustment command to the heating module to enhance the ice-melting effect by increasing the power intensity of the corresponding heating strategy or extending the duration of a single heating cycle. If the ice layer has been completely removed, the current heating parameters are maintained or the power is appropriately reduced to achieve on-demand adaptation.

[0077] The control terminal continuously collects and stores historical environmental data (temperature, humidity, wind speed, etc.), energy consumption data of each heating strategy, and de-icing effect data. It periodically trains the energy efficiency optimization model using machine learning algorithms. The model aims to minimize overall energy consumption while ensuring de-icing effect. Real-time status parameters are input into the trained model, which can dynamically output the optimal power allocation scheme and start-stop sequence for the three types of heating strategies.

[0078] Based on historical data and real-time parameters, the model can also construct pre-freezing warning logic, combining data such as temperature, humidity, and wind speed to initiate protective measures in advance, eliminating the risk of freezing in its infancy.

[0079] Furthermore, based on the above embodiments, this embodiment also includes collecting and storing historical environmental data, de-icing operation energy consumption data, and de-icing effect data; based on the historical environmental data, de-icing operation energy consumption data, and de-icing effect data, training an energy efficiency optimization model through machine learning algorithms, the optimization objective of the model being to minimize overall energy consumption while ensuring de-icing effect; inputting the real-time collected state parameters into the trained energy efficiency optimization model, dynamically outputting and executing the optimal power allocation scheme and start-stop sequence for the first heating strategy, the second heating strategy, and the third heating strategy.

[0080] Specifically, the control terminal establishes a seamless data interaction mechanism with the power plant's superior monitoring system (such as a DCS system). It uploads real-time monitored status parameters (ice thickness, temperature field, ambient temperature and humidity, etc.), the results of de-icing trigger condition assessments, and the operating status of heating and drainage processes (including equipment power, operating time, and operating conditions) to the superior monitoring system. It also receives remote control commands from the superior system, such as manually starting and stopping the de-icing process and adjusting heating parameters, enabling remote intervention. When abnormalities such as heating element failure, drainage path blockage, or abnormal ice thickness increase are detected, the control terminal immediately generates an early warning signal and pushes it to the superior monitoring system, simultaneously including information such as the fault location and abnormal parameters, facilitating rapid fault diagnosis and repair by management personnel.

[0081] Through system integration, managers can monitor the anti-freezing and de-icing status of the weighbridge in real time via remote terminals, eliminating the need for on-site supervision and improving the intelligence and reliability of operation and management.

[0082] This embodiment, through the synergistic effect of multi-sensor monitoring, intelligent decision-making, gradient heating, and adaptive drainage, controls the weighing error within a reasonable range, completely solving the problems of low efficiency of traditional manual ice removal, corrosion of the scale body by de-icing agents, and high energy consumption of the insulation shed. It effectively reduces settlement disputes and operational losses, and is especially suitable for low-temperature environments, with significant advantages such as precise antifreeze, energy efficiency optimization, zero-maintenance operation, and intelligent linkage.

[0083] Based on the same general inventive concept, this invention also protects a system for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter. The system for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter described below can be referred to in correspondence with the method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter described above.

[0084] Figure 2 This is a schematic diagram of the system provided in this embodiment for preventing the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to the freezing of slag and water.

[0085] like Figure 2 As shown in the figure, this embodiment provides a system for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, comprising:

[0086] Monitoring module 201 is used to monitor the status parameters of the weighbridge in real time. The status parameters include ice layer information between the weighbridge platform and the foundation structure, temperature field distribution information of the weighbridge body, and ambient temperature and humidity information.

[0087] The judgment module 202 is used to determine whether the de-icing trigger condition has been met based on the state parameters and a preset intelligent decision-making model.

[0088] The heating module 203 is used to simultaneously initiate a regional gradient heating process and an adaptive drainage process if the de-icing trigger condition is met. The regional gradient heating process is configured to: execute a first heating strategy on the weighing sensor area to maintain a constant temperature and prevent freezing; execute a second heating strategy on the weighing platform's load-bearing surface to intermittently melt ice; and execute a third heating strategy on the drainage path to keep the channel unobstructed. The adaptive drainage process is configured to: adjust the weighing platform's posture to form a guide angle and break up the solidified material on the drainage path, so that the liquid slag and water are guided away from the weighing body under the action of gravity.

[0089] The early warning module 204 is used to exchange data with the upper-level monitoring system to obtain the judgment results of status parameters, de-icing trigger conditions, and the operating status of gradient heating process and drainage process, so as to realize system linkage and early warning.

[0090] Figure 3 This is a schematic diagram of the structure of the electronic device provided in this embodiment.

[0091] like Figure 3 As shown, the electronic device may include: a processor 301, a communication interface 302, a memory 303, and a communication bus 304. The processor 301, communication interface 302, and memory 303 communicate with each other via the communication bus 304. The processor 301 can call logical instructions from the memory 303 to execute methods to prevent the weighbridge of a coal-fired power plant from becoming inaccurate in winter due to freezing of slag and water.

[0092] Furthermore, the logical instructions in the aforementioned memory 303 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the methods provided by the above methods to avoid the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter.

[0094] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the methods provided above for avoiding the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter.

[0095] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0096] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, characterized in that, include: Real-time monitoring of the weighbridge's status parameters, including information on the ice layer between the weighbridge platform and the foundation structure, the temperature field distribution of the weighbridge, and the ambient temperature and humidity. Based on the aforementioned state parameters, a preset intelligent decision-making model is used to determine whether the de-icing trigger condition has been met. If the aforementioned de-icing triggering condition is met, the regional gradient heating process and the adaptive drainage process will be started simultaneously. The regional gradient heating process is configured as follows: a first heating strategy is implemented in the weighing sensor area to maintain constant temperature and prevent freezing; a second heating strategy is implemented in the weighing platform bearing surface to intermittently melt ice; and a third heating strategy is implemented in the drainage path to keep the channel unobstructed. The adaptive drainage process is configured to: adjust the attitude of the weighing platform to form a guide tilt angle, and break up the solidified material on the drainage path, so that the liquid sludge water is guided away from the weighing body under the action of gravity; The state parameters, the judgment results of the de-icing triggering conditions, and the operating status of the gradient heating process and the drainage process are exchanged with the upper-level monitoring system to achieve system linkage and early warning.

2. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 1, is characterized in that... The real-time monitoring parameters of the weighbridge body include: Millimeter-wave radar sensors are used to monitor the ice thickness between the weighing platform and the foundation structure. Temperature field distribution information is constructed by collecting the temperature of the scale body surface and key nodes through a distributed array of temperature sensors. Ambient temperature and humidity information is collected by an ambient temperature and humidity sensor integrated near the scale body.

3. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 2, is characterized in that... The step of determining whether the de-icing trigger condition has been met through a pre-set intelligent decision-making model includes: The monitored ambient temperature is compared with a preset temperature threshold. The monitored ice thickness is compared with a preset thickness threshold. When the ambient temperature is lower than or equal to the temperature threshold and the ice layer thickness is greater than or equal to the thickness threshold, the de-icing trigger condition is determined to be met.

4. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 1, is characterized in that... The symmetrical weighing sensor area implements a first heating strategy to maintain a constant temperature and prevent freezing, including: A self-regulating electric heating tape is laid around the weighing sensor; The temperature of the weighing sensor area is maintained within a preset constant temperature range by means of the self-regulating electric heating tape.

5. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 1, is characterized in that... The second heating strategy for intermittently melting ice on the weighing platform's load-bearing surface includes: Control the heating element embedded in the load-bearing surface of the weighing platform to cycle on and off according to a preset period; The heating element has a shorter start-up time than stop time in a single cycle.

6. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 1, is characterized in that... The third heating strategy for the drainage path to maintain unobstructed flow includes: A waterproof electric heating tape is laid along the drainage path; When the ambient temperature is lower than or equal to the first preset temperature, the waterproof electric heating tape is activated, and the drainage path is kept at a constant temperature.

7. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 1, is characterized in that... The breaking up of solidified material along the drainage path includes: The ultrasonic transducer installed in the guide channel is activated to generate high-frequency mechanical vibration to break the ice layer. Alternatively, the rotating ice-breaking toothed roller installed in the guide channel can be controlled to mechanically break up the ice layer.

8. The method for avoiding inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in claim 1, is characterized in that... After the simultaneous initiation of the regional gradient heating process and the adaptive drainage process, the following is also included: Collect ice layer information again; If the ice information still indicates that freezing exists, the power intensity or duration of the first heating strategy, the second heating strategy, or the third heating strategy is increased.

9. The method for preventing the inaccuracy of weighbridges in coal-fired power plants due to freezing of slag and water in winter, as described in any one of claims 1-8, is characterized in that... Also includes: Collect and store historical environmental data, de-icing operation energy consumption data, and de-icing effect data; Based on the historical environmental data, de-icing operation energy consumption data, and de-icing effect data, an energy efficiency optimization model is trained using a machine learning algorithm. The optimization objective of the model is to minimize the overall energy consumption while ensuring the de-icing effect. The real-time collected state parameters are input into the trained energy efficiency optimization model, which dynamically outputs and executes the optimal power allocation scheme and start-stop sequence for the first heating strategy, the second heating strategy, and the third heating strategy.

10. A system for preventing weighbridges in coal-fired power plants from becoming inaccurate in winter due to freezing of slag and water, characterized in that, include: The monitoring module is used to monitor the status parameters of the weighbridge in real time. The status parameters include information on the ice layer between the weighbridge platform and the foundation structure, information on the temperature field distribution of the weighbridge body, and information on the ambient temperature and humidity. The judgment module is used to determine whether the de-icing trigger condition has been met based on the state parameters and a preset intelligent decision-making model. The heating module is used to simultaneously initiate a regional gradient heating process and an adaptive drainage process if the de-icing trigger condition is met. The regional gradient heating process is configured to: implement a first heating strategy on the weighing sensor area to maintain a constant temperature and prevent freezing; implement a second heating strategy on the weighing platform's load-bearing surface to intermittently melt ice; and implement a third heating strategy on the drainage path to maintain unobstructed flow. The adaptive drainage process is configured to: adjust the weighing platform's posture to form a guiding tilt angle and break up the solidified material on the drainage path, allowing the liquid slag to be guided away from the weighing body under gravity. The early warning module is used to exchange data with the upper-level monitoring system to obtain the judgment results of the status parameters, the de-icing trigger conditions, and the operating status of the gradient heating process and the drainage process, so as to realize system linkage and early warning.

Images