Intelligent remote control system for bridge dehumidification

Abstract

The invention discloses an intelligent remote control system for bridge dehumidification, and the system comprises a physical environment layer, a sensing and execution layer, and a data communication and local control layer. The perception and execution layer comprises a perception layer and an execution layer, the perception layer comprises a plurality of sensors, the execution layer comprises a plurality of execution devices, and the plurality of sensors and the plurality of execution devices are arranged in the physical environment layer; the data communication and local control layer comprises a main controller, and the sensing layer and the execution layer are respectively connected with the main controller; the sensors collect environment parameter information in the physical environment layer and send the environment parameter information to the master controller, the master controller determines equipment operation information based on the environment parameter information and sends the equipment operation information to the execution equipment, and the execution equipment executes equipment operation based on the equipment operation information. And the environment parameter information of the physical environment layer is changed. The precision and efficiency of environment control can be improved, and the stability of the environment is guaranteed.

Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to an intelligent remote control system for bridge dehumidification. Background Technology

[0002] In many fields, such as bridges and buildings, stable control of ambient temperature and humidity is crucial. Abnormal changes in temperature and humidity can damage structures and equipment, affecting their performance and lifespan. Traditional temperature and humidity control methods are often simple and lack precision, failing to meet the precise control requirements of complex environments. Furthermore, the lack of effective monitoring and management tools makes it difficult to monitor ambient temperature and humidity conditions in real time and make timely adjustments. Summary of the Invention

[0003] This application provides an intelligent remote control system for bridge dehumidification, which can improve the accuracy and efficiency of environmental control and ensure environmental stability.

[0004] Firstly, the intelligent remote control system for bridge dehumidification provided in this application includes a physical environment layer, a sensing and execution layer, and a data communication and local control layer;

[0005] The perception and execution layer includes a perception layer and an execution layer. The perception layer includes multiple sensors, and the execution layer includes multiple execution devices. The multiple sensors and the multiple execution devices are disposed within the physical environment layer.

[0006] The data communication and local control layer includes a master controller, and the perception layer and the execution layer are respectively connected to the master controller;

[0007] The multiple sensors in the perception layer collect environmental parameter information within the physical environment layer and send the environmental parameter information to the main controller. The main controller determines device operation information based on the environmental parameter information and sends the device operation information to each execution device in the execution layer. Each execution device performs device operation based on the device operation information to change the environmental parameter information of the physical environment layer.

[0008] In an optional embodiment, the multiple sensors in the sensing layer include a temperature and humidity sensor, a pressure sensor, a differential pressure sensor, and a flow sensor. The environmental parameter information includes temperature and humidity data, pressure data, differential pressure data, and flow data. The temperature and humidity sensor is used to monitor temperature and humidity data, the pressure sensor is used to monitor pressure data, the differential pressure sensor is used to monitor differential pressure data, and the flow sensor is used to monitor flow data.

[0009] The execution layer includes multiple execution devices, including a dehumidifier, a supply and return fan, and a high-pressure fan; the dehumidifier is used to dehumidify the air, the supply and return fan is used to ensure stable air circulation, and the high-pressure fan is used to assist air circulation.

[0010] In an optional embodiment, the physical environment layer includes multiple different environmental regions, and multiple sensors in the sensing layer are distributed in each of the environmental regions. Multiple execution devices in the execution layer are also distributed in each of the environmental regions. The multiple sensors in the sensing layer collect environmental parameter information within the physical environment layer and send the environmental parameter information to the main controller.

[0011] The main controller acquires the regional parameter information belonging to different environmental regions from the environmental parameter information, and determines different control logic strategies based on the regional parameter information of different environmental regions.

[0012] The main controller determines the device operation information corresponding to the environmental area based on the control logic strategy corresponding to the regional parameter information.

[0013] The main controller sends the device operation information corresponding to the environmental area to each execution device within the environmental area. Each execution device performs device operation based on the device operation information corresponding to the environmental area to change the regional parameter information of the environmental area.

[0014] In an optional embodiment, the device operation information is used to instruct the executing device to adjust from the current state to the target state. The main controller determines the device operation information corresponding to the environmental region based on the control logic strategy corresponding to the regional parameter information, including:

[0015] The main controller preprocesses the temperature and humidity data to obtain preprocessed temperature and humidity data;

[0016] Real-time dew point parameters are determined based on preprocessed temperature and humidity data.

[0017] If the difference between the real-time dew point parameter and the user-set target dew point parameter is greater than the preset value, then calculate the temperature change rate and humidity change rate.

[0018] Adaptive hysteresis calculation is performed based on the rate of temperature change and the rate of humidity change to obtain the adaptive hysteresis parameters;

[0019] The target state of each execution device within the environmental area is determined based on the adaptive hysteresis parameter.

[0020] The device operation information is determined based on the target state and current state of each execution device within the environmental area.

[0021] In an optional embodiment, the main controller preprocesses the temperature and humidity data to obtain preprocessed temperature and humidity data, including:

[0022] The main controller filters and calibrates the temperature and humidity data to obtain pre-processed temperature and humidity data.

[0023] In an optional embodiment, the intelligent remote control system for bridge dehumidification includes a remote monitoring and control layer, which includes a client; the data communication and local control layer includes a gateway, which is connected to both the main controller and the client. The main controller sends the environmental parameter information to the gateway, and the gateway sends the environmental parameter information to the client. The client is used for real-time data visualization, equipment control, equipment parameter configuration, historical data storage and analysis, centralized alarm management, user permission management, system operation log management, and interfacing with third-party platforms.

[0024] In an optional embodiment, the data communication and local control layer includes a local operation panel connected to the main controller. The local operation panel is used for mode switching, manually operating the core modules of the device, viewing the device's built-in alarm records, configuring device parameters, and displaying device data in real time.

[0025] In an optional embodiment, the temperature and humidity sensor includes a temperature sensor and a humidity sensor, and the temperature and humidity data includes temperature data and humidity data. When the rate of change of the temperature data within a target time period is lower than a preset rate of change, the sampling frequency of the temperature sensor is reduced to a first frequency; when the rate of change of the temperature data within a target time period is not lower than the preset rate of change, the sampling frequency of the temperature sensor is increased to a second frequency.

[0026] In an optional embodiment, the main controller stores the environmental parameter information and device operation information in a local cache in chronological order. When the amount of data stored in the local cache exceeds a preset amount of data, the data stored in the local cache for a period exceeding the preset duration is deleted, and the new environmental parameter information and device operation information are stored in the local cache.

[0027] In an optional embodiment, the sensing layer is connected to the main controller via an RS485 bus, and the execution layer is connected to the main controller via an RS485 bus.

[0028] In this application, the intelligent remote control system for bridge dehumidification includes a physical environment layer, a sensing and execution layer, and a data communication and local control layer. The sensing and execution layer comprises a sensing layer and an execution layer. The sensing layer includes multiple sensors, and the execution layer includes multiple execution devices. These sensors and execution devices are located within the physical environment layer. The data communication and local control layer includes a master controller, with the sensing and execution layers connected to the master controller. Multiple sensors in the sensing layer collect environmental parameter information from within the physical environment layer and send this information to the master controller. The master controller determines device operation information based on the environmental parameter information and distributes this information to each execution device in the execution layer. Each execution device then performs its operation based on the operation information to change the environmental parameter information within the physical environment layer. This application, through its multi-layered architecture design, achieves precise monitoring and control of the environment within the physical environment layer. The multiple sensors in the sensing layer comprehensively collect environmental data, providing a basis for precise control. The multiple devices in the execution layer work collaboratively to quickly and effectively adjust environmental temperature and humidity, ensuring environmental stability. The master controller automatically adjusts control parameters according to actual conditions, improving control accuracy and efficiency, thus enhancing the precision and efficiency of environmental control and ensuring environmental stability. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of the structure of one embodiment of the intelligent remote control system for bridge dehumidification provided in this application.

[0031] Figure 2 This is a schematic diagram of another embodiment of the intelligent remote control system for bridge dehumidification provided in this application.

[0032] Figure 3 This is a schematic diagram illustrating the process by which the main controller determines the equipment operation information corresponding to the environmental area based on the control logic strategy corresponding to the regional parameter information in one embodiment of the intelligent remote control system for bridge dehumidification provided in this application. Detailed Implementation

[0033] It should be noted that the principles of this application are illustrated by example in a suitable computing environment. The following description is based on the specific embodiments of this application that are illustrated, and should not be regarded as limiting other specific embodiments not detailed herein.

[0034] In the following description of this application, "some embodiments" are referred to, which describe a subset of all possible embodiments. However, it is understood that "some embodiments" may be the same subset or different subset of all possible embodiments, and may be combined with each other without conflict.

[0035] In the following description of this application, the terms "first, second, third" are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first, second, third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this application described herein can be implemented in an order other than that illustrated or described herein.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0037] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0038] To better understand the intelligent remote control system, device, electronic equipment, and storage medium for bridge dehumidification provided in the embodiments of this application, the application environment applicable to the embodiments of this application is described below.

[0039] Please see Figures 1-3 The intelligent remote control system for bridge dehumidification includes a physical environment layer, a sensing and execution layer, and a data communication and local control layer.

[0040] The perception and execution layer includes a perception layer and an execution layer. The perception layer includes multiple sensors, and the execution layer includes multiple execution devices. The multiple sensors and multiple execution devices are located within the physical environment layer.

[0041] The data communication and local control layer includes a master controller, and the perception layer and execution layer are connected to the master controller.

[0042] Multiple sensors in the perception layer collect environmental parameter information within the physical environment layer and send the environmental parameter information to the main controller. The main controller determines the device operation information based on the environmental parameter information and sends the device operation information to each execution device in the execution layer. Each execution device performs device operation based on the device operation information to change the environmental parameter information in the physical environment layer.

[0043] In this embodiment, the perception layer is connected to the main controller via an RS485 bus, and the execution layer is connected to the main controller via an RS485 bus.

[0044] In this embodiment, the sensing layer includes multiple sensors such as a temperature and humidity sensor, a pressure sensor, a differential pressure sensor, and a flow sensor. Environmental parameter information includes temperature and humidity data, pressure data, differential pressure data, and flow data. The temperature and humidity sensor monitors temperature and humidity data, the pressure sensor monitors pressure data, the differential pressure sensor monitors differential pressure data, and the flow sensor monitors flow data. The execution layer includes multiple execution devices such as a dehumidifier, a supply and return fan, and a high-pressure fan. The dehumidifier dehumidifies the air, the supply and return fan ensures stable air circulation, and the high-pressure fan assists in air circulation. These sensors can collect environmental data in real time and transmit the data to the main controller. The execution layer includes a dehumidifier, a supply and return fan, and a high-pressure fan. The dehumidifier dehumidifies the air, reducing ambient humidity; the supply and return fan ensures stable air circulation, making the ambient temperature and humidity more uniform; and the high-pressure fan assists in air circulation, enhancing airflow.

[0045] In this embodiment, the physical environment layer includes multiple different environmental regions. Multiple sensors in the sensing layer are distributed across these environmental regions, and multiple execution devices in the execution layer are distributed across these environmental regions. The multiple different environmental regions include the internal space of the main beam, the internal space of the box girder, the anchor chamber region, and the saddle chamber region. Specifically, the multiple sensors in each environmental region include temperature and humidity sensors, pressure sensors, differential pressure sensors, and flow sensors. The number of each type of sensor is one or more, depending on the specific circumstances.

[0046] The physical environment layer includes the external environment, the bridge's internal environment, and the power supply module. The external environment includes ambient temperature and humidity, precipitation, and radiation, all of which affect the temperature and humidity of the bridge's internal environment. The bridge's internal environment includes different areas such as the main girder's internal space, the box girder's internal space, anchorages, and saddle chambers, each with potentially different temperature and humidity requirements. The power supply module includes AC380V / 220V and an optional UPS power supply, providing stable power support for the entire system and ensuring its normal operation under various conditions.

[0047] Multiple sensors in the perception layer collect environmental parameter information within the physical environment layer and send this information to the main controller. The main controller then acquires regional parameter information belonging to different environmental areas from the environmental parameter information and determines different control logic strategies based on this regional parameter information. Based on the control logic strategies corresponding to the regional parameter information, the main controller determines the device operation information corresponding to each environmental area. The main controller then distributes this device operation information to each execution device within the environmental area. Each execution device performs its operation based on this environmental operation information to change the regional parameter information of the environmental area.

[0048] The main controller executes corresponding control logic based on preset closed-loop control algorithms and strategies. For example, different control logic strategies can be set for different areas, such as triggering dehumidification based on data from a single temperature and humidity sensor or triggering dehumidification based on the average value of data from multiple temperature and humidity sensors. Based on these control logic strategies, the main controller sends control commands via RS485 bus to the dehumidification unit, supply and return fans, and high-pressure fans in the execution layer, controlling the operating status of these devices and thus achieving precise regulation of ambient temperature and humidity.

[0049] In this embodiment, the intelligent remote control system for bridge dehumidification includes a remote monitoring and control layer, which includes a client; the data communication and local control layer includes a gateway, which is connected to both the main controller and the client. The main controller sends environmental parameter information to the gateway, and the gateway sends environmental parameter information to the client. The client is used for real-time data visualization, equipment control, equipment parameter configuration, historical data storage and analysis, centralized alarm management, user permission management, system operation log management, and interfacing with third-party platforms.

[0050] In this embodiment, the data communication and local control layer includes a local operation panel, which is connected to the main controller. The local operation panel is used for mode switching, manual operation of the core module of the device, viewing the device's built-in alarm records, configuring device parameters, and displaying device data in real time.

[0051] In this embodiment, the data communication and local control layer includes a gateway, a main controller, and a local operation panel. The gateway performs protocol conversion, data caching and forwarding, and basic firewall functions, ensuring effective communication between different devices and guaranteeing secure data transmission. The main controller handles data acquisition and preprocessing, executes closed-loop control algorithms and control strategies, and diagnoses and maintains device parameters. The local operation panel allows for mode switching, manual operation of core device modules, viewing device alarm records, configuring device parameters, and real-time display of device data, providing users with a convenient local operation method.

[0052] The remote monitoring and control layer includes a client. The client is used for real-time data visualization, equipment control, equipment parameter configuration, historical data storage and analysis, centralized alarm management, user permission management, system operation log management, and integration with third-party platforms, enabling users to remotely monitor and control the entire system in real time.

[0053] The sensing layer is connected to the main controller via an RS485 bus. This connection method offers advantages such as long transmission distance and strong anti-interference capabilities, ensuring accurate transmission of sensor data to the main controller. The execution layer is also connected to the main controller via an RS485 bus, enabling precise control of the execution devices by the main controller. A local operation panel is connected to the main controller for convenient local operation and monitoring. A gateway connects to both the main controller and the client, facilitating data communication between the local system and remote clients.

[0054] During system operation, temperature and humidity sensors, pressure sensors, differential pressure sensors, and flow sensors in the sensing layer collect various data from the physical environment layer in real time and transmit this data to the main controller via an RS485 bus. Upon receiving the data, the main controller performs data acquisition and preprocessing, including data cleaning and filtering, to improve the accuracy and reliability of the data.

[0055] Meanwhile, the main controller is also responsible for equipment parameter diagnosis and maintenance, monitoring the equipment's operating status and parameters in real time, promptly detecting equipment faults and issuing alarms. The local operation panel displays equipment data in real time, allowing users to switch modes, manually operate the core modules of the equipment, view the equipment's built-in alarm records, and configure equipment parameters.

[0056] The gateway performs protocol conversion, data caching, and forwarding on the data processed by the main controller, and then transmits it to the client at the remote monitoring and control layer via the network. Upon receiving the data, the client performs real-time data visualization, displaying environmental data such as temperature and humidity in intuitive charts and graphs to the user. Users can perform operations such as device control, device parameter configuration, historical data storage and analysis, centralized alarm management, user permission management, system operation log management, and integration with third-party platforms through the client.

[0057] This intelligent temperature and humidity control system is suitable for various scenarios, especially the internal environment of bridges where temperature and humidity requirements are high. For example, in areas such as the main girder interior, box girder interior, anchorages, and saddle chambers of large bridges, temperature and humidity sensors, pressure sensors, differential pressure sensors, and flow sensors are installed to monitor environmental data in real time. Based on this data, the main controller controls the operation of the dehumidification unit, supply and return air fans, and high-pressure fans to maintain the temperature and humidity in these areas within a suitable range, preventing damage to the bridge structure due to abnormal temperature and humidity and extending the bridge's service life.

[0058] Meanwhile, the system's remote monitoring and control layer allows managers to monitor and control the temperature and humidity inside the bridge anytime and anywhere via a client, improving management efficiency and convenience.

[0059] The main controller can predict future temperature and humidity changes based on historical data and environmental trends, adjusting control strategies in advance to achieve more intelligent control. Regarding data communication, the gateway employs multiple security measures to ensure secure data transmission. Basic firewall functionality prevents unauthorized intrusion from external networks, protecting the security of the internal network. Simultaneously, data is encrypted during transmission to ensure confidentiality and integrity.

[0060] On the client side, the user permission management function can strictly control the access permissions of different users, and only authorized users can perform the corresponding operations, which further ensures the security of the system.

[0061] like Figure 3 As shown in this embodiment, the device operation information is used to instruct the execution device to adjust from the current state to the target state. The main controller determines the device operation information corresponding to the environmental region based on the control logic strategy corresponding to the regional parameter information, including:

[0062] (1) The main controller preprocesses the temperature and humidity data to obtain the preprocessed temperature and humidity data.

[0063] In this embodiment of the application, the main controller preprocesses the temperature and humidity data to obtain preprocessed temperature and humidity data, including: the main controller performs filtering and data calibration on the temperature and humidity data to obtain preprocessed temperature and humidity data.

[0064] In this embodiment, the main controller uses a Kalman filter algorithm to filter the temperature and humidity data. This algorithm can effectively remove noise interference during sensor measurement, improving the accuracy and stability of the data. By establishing system state equations and observation equations, the system state is continuously predicted and updated, thereby obtaining environmental parameter estimates that are closer to the true values.

[0065] In this embodiment, the main controller employs a median filtering algorithm to remove impulse noise from the data. For a set of continuously acquired sensor data, they are sorted by size, and the median value is taken as the filtered result. This method is highly effective in removing randomly occurring impulse noise and can significantly improve the smoothness of the data. For periodic noise, a Butterworth low-pass filter is used. By setting an appropriate cutoff frequency, low-frequency signals are allowed to pass through while high-frequency noise signals are suppressed, thereby obtaining more stable sensor data. For example, when processing temperature and humidity data, an appropriate cutoff frequency is set according to the frequency characteristics of environmental noise to filter out high-frequency interference.

[0066] The main controller periodically calibrates the sensors, establishing a calibration model. By comparing measurements with high-precision standard equipment, it acquires sensor error data and builds an error compensation model based on this data. During actual data processing, the sensor measurement data is corrected according to the calibration model to improve data accuracy. The influence of environmental factors on sensor measurement accuracy, such as the effect of temperature on pressure sensors, is considered. An environmental factor compensation model is established to correct the sensor data. For example, for pressure sensors, temperature compensation is applied to the measured pressure data based on changes in ambient temperature, eliminating the impact of temperature variations on pressure measurement accuracy.

[0067] In one specific embodiment, the temperature and humidity data include real-time temperature T and real-time relative humidity RH.

[0068] (2) Determine the real-time dew point parameters based on the preprocessed temperature and humidity data.

[0069] In one specific embodiment, the formula for calculating the real-time dew point parameter Td is as follows:

[0070]

[0071] (3) If the difference between the real-time dew point parameter and the target dew point parameter set by the user is greater than the preset value, then calculate the temperature change rate and humidity change rate.

[0072] Among them, the target dew point parameters The default values ​​are set by the user. Specifically, in the user-defined mode, the target dew point parameters are dynamically set according to the user-defined mode. .

[0073] Among them, the rate of temperature change The rate of change in humidity .

[0074] (4) Adaptive hysteresis calculation is performed based on the rate of temperature change and the rate of humidity change to obtain the adaptive hysteresis parameters.

[0075] The adaptive hysteresis parameter is the hysteresis interval, and the hysteresis interval is... .

[0076] (5) Determine the target state of each execution device within the environmental area based on the adaptive hysteresis parameter.

[0077] When performing adaptive hysteresis calculation based on temperature and humidity change rates, the system first acquires real-time environmental temperature and humidity data using sensors to calculate the temperature change rate (e.g., °C / h) and humidity change rate (e.g., %RH / h) per unit time. Then, these two rates are substituted into a pre-defined algorithm model to dynamically adjust hysteresis parameters, including the difference between the upper and lower limits of the hysteresis interval and the sensitivity of the trigger threshold. After obtaining the adaptive hysteresis parameters, the system considers the functional characteristics of each actuator (e.g., an air conditioner regulates temperature, and a humidifier increases humidity) to determine its target operating state. When the environmental parameters reach the adjusted upper hysteresis limit, the system initiates suppressive operations such as cooling and dehumidification; when they fall below the lower hysteresis limit, it triggers compensatory operations such as heating and humidification. The more sensitive the parameters, the faster the device response.

[0078] Taking a data center server room as an example, when sensors detect that the temperature rises from 22℃ to 26℃ within one hour (a change rate of 4℃ / h) and the humidity drops from 40% to 35% (a change rate of -5%RH / h), adaptive hysteresis calculation will tighten the temperature hysteresis range from the default 3℃ (21-24℃) to 2℃ (25-27℃), and widen the humidity hysteresis range from 5% (38-43%) to 8% (32-40%). Based on these parameters, the target state of the server room air conditioning system is adjusted to "high-frequency cooling mode," immediately increasing cooling power when the temperature reaches 26℃; while the humidifier maintains "low-load standby," only starting humidification when the humidity is below 32%, thus avoiding frequent equipment start-ups and shutdowns and accurately maintaining a stable server room environment.

[0079] (6) Determine the device operation information based on the target status and current status of each execution device within the environmental area.

[0080] The target state is the state that the execution device needs to adjust to, and the current state is the current state of the execution device. Device operation information is used to instruct the execution device to adjust from the current state to the target state.

[0081] In this embodiment, the temperature and humidity sensor includes a temperature sensor and a humidity sensor. The temperature and humidity data includes temperature data and humidity data. When the rate of change of the temperature data within a target time period is lower than a preset rate of change, the sampling frequency of the temperature sensor is reduced to a first frequency; when the rate of change of the temperature data within the target time period is not lower than the preset rate of change, the sampling frequency of the temperature sensor is increased to a second frequency. For example, the first frequency is once every five minutes, and the second frequency is once per minute.

[0082] The sensor's sampling frequency is automatically adjusted based on the drastic nature of environmental changes. When environmental parameters such as temperature and humidity change slowly, the sampling frequency is reduced to decrease data generation, thereby lowering system energy consumption and data processing pressure. For example, during relatively stable nighttime conditions, the sampling frequency of the temperature and humidity sensors is reduced from once per minute to once every five minutes. When a sudden change in environmental parameters is detected, such as a rapid rise or fall in temperature or humidity, the sampling frequency is immediately increased to capture environmental changes more promptly and accurately. For instance, if the temperature in a certain area rises above a certain threshold within a short period, the sampling frequency of the temperature sensor in that area is increased to once per second.

[0083] In this embodiment, the main controller stores environmental parameter information and device operation information in a local cache in chronological order. When the amount of data stored in the local cache exceeds a preset data amount, the data stored in the local cache for a period exceeding the preset duration is deleted, and the new environmental parameter information and device operation information are stored in the local cache. For example, the preset data amount is 10G and the preset duration is 1 hour, which can be set according to specific circumstances.

[0084] A local cache of a certain capacity is configured in the main controller. When a network failure or communication interruption occurs, the collected sensor data is temporarily stored in the local cache. The cache can adopt a circular buffer structure; when the cache is full, it automatically overwrites the oldest data to ensure that the cache always stores the latest data. When the network returns to normal, the data in the local cache is uploaded in batches to the gateway or remote server according to the data's chronological order, ensuring data integrity and continuity.

[0085] In this embodiment, the main controller employs efficient data compression algorithms, such as LZ77 and Huffman coding, to compress the device operation information and then distributes the compressed information to various execution devices in the execution layer. By removing redundant information from the data, the data volume is reduced, thereby reducing network transmission pressure and improving data transmission efficiency.

[0086] The data compression ratio is dynamically adjusted based on network bandwidth and data importance. When network bandwidth is low, the data compression ratio is increased to reduce data transmission volume; for critical environmental parameter data, the compression ratio is appropriately reduced to ensure data accuracy and integrity.

[0087] By embedding simple control algorithms and decision-making logic into the main controller, it can make real-time decisions and controls based on locally acquired sensor data. For example, when the temperature and humidity in a certain area exceed a set threshold, the main controller can directly control the dehumidifier and return fan in the vicinity of that area to start and adjust the temperature and humidity without waiting for instructions from a remote server, thus improving the system's real-time responsiveness. A local fault diagnosis model is established to monitor the equipment's operating status in real time based on sensor data and equipment operating conditions, promptly detecting equipment faults and issuing early warnings. When an abnormality is detected, the main controller can automatically take corresponding measures, such as stopping the equipment or switching to backup equipment, to ensure the stable operation of the system.

[0088] In this embodiment, the main controller determines the device operation information corresponding to the environmental region based on the control logic strategy corresponding to the regional parameter information. This includes: calculating the task computation amount for determining the device operation information corresponding to the environmental region; when the task computation amount is higher than a preset computation amount, sending the regional parameter information to the client through the gateway; the client determining the device operation information corresponding to the environmental region based on the control logic strategy corresponding to the regional parameter information; and the main controller obtaining the device operation information corresponding to the environmental region from the client. When the task computation amount is not higher than the preset computation amount, the main controller itself determines the device operation information corresponding to the environmental region based on the control logic strategy corresponding to the regional parameter information.

[0089] Based on the computing resources and task requirements of the main controller, edge computing tasks are allocated rationally. For tasks with low computational load and high real-time requirements, such as real-time processing of sensor data and simple control decisions, the main controller completes these tasks locally. For tasks with high computational load and relatively low real-time requirements, such as historical data analysis and complex control strategy optimization, the data can be uploaded to a remote server for processing, making full use of the computing resources on the edge and in the cloud to improve the overall performance of the system.

[0090] In this application, the intelligent remote control system for bridge dehumidification includes a physical environment layer, a sensing and execution layer, and a data communication and local control layer. The sensing and execution layer comprises a sensing layer and an execution layer. The sensing layer includes multiple sensors, and the execution layer includes multiple execution devices. These sensors and execution devices are located within the physical environment layer. The data communication and local control layer includes a master controller, with the sensing and execution layers connected to the master controller. Multiple sensors in the sensing layer collect environmental parameter information from within the physical environment layer and send this information to the master controller. The master controller determines device operation information based on the environmental parameter information and distributes this information to each execution device in the execution layer. Each execution device then performs its operation based on the operation information to change the environmental parameter information within the physical environment layer. This application, through its multi-layered architecture design, achieves precise monitoring and control of the environment within the physical environment layer. The multiple sensors in the sensing layer comprehensively collect environmental data, providing a basis for precise control. The multiple devices in the execution layer work collaboratively to quickly and effectively adjust environmental temperature and humidity, ensuring environmental stability. The master controller automatically adjusts control parameters according to actual conditions, improving control accuracy and efficiency, thus enhancing the precision and efficiency of environmental control and ensuring environmental stability.

[0091] The above provides a detailed description of an intelligent remote control system for bridge dehumidification provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

[0092] It should be noted that when the above embodiments of this application are applied to specific products or technologies, user-related data is involved, and user permission or consent is required. Furthermore, the collection, use, and processing of such data must comply with the relevant laws, regulations, and standards of the relevant countries and regions.

Claims

1. An intelligent remote control system for bridge dehumidification, characterized in that, The intelligent remote control system for bridge dehumidification includes a physical environment layer, a sensing and execution layer, and a data communication and local control layer. The perception and execution layer includes a perception layer and an execution layer. The perception layer includes multiple sensors, and the execution layer includes multiple execution devices. The multiple sensors and the multiple execution devices are disposed within the physical environment layer. The data communication and local control layer includes a master controller, and the perception layer and the execution layer are respectively connected to the master controller; The multiple sensors in the perception layer collect environmental parameter information within the physical environment layer and send the environmental parameter information to the main controller. The main controller determines device operation information based on the environmental parameter information and sends the device operation information to each execution device in the execution layer. Each execution device performs device operation based on the device operation information to change the environmental parameter information of the physical environment layer.

2. The intelligent remote control system for bridge dehumidification according to claim 1, characterized in that, The sensing layer includes multiple sensors such as a temperature and humidity sensor, a pressure sensor, a differential pressure sensor, and a flow sensor. The environmental parameter information includes temperature and humidity data, pressure data, differential pressure data, and flow data. The temperature and humidity sensor is used to monitor temperature and humidity data, the pressure sensor is used to monitor pressure data, the differential pressure sensor is used to monitor differential pressure data, and the flow sensor is used to monitor flow data. The execution layer includes multiple execution devices, including a dehumidifier, a supply and return fan, and a high-pressure fan; the dehumidifier is used to dehumidify the air, the supply and return fan is used to ensure stable air circulation, and the high-pressure fan is used to assist air circulation.

3. The intelligent remote control system for bridge dehumidification according to claim 2, characterized in that, The physical environment layer includes multiple different environmental regions. Multiple sensors in the perception layer are distributed across each of these environmental regions. Multiple execution devices in the execution layer are distributed across each of these environmental regions. The multiple sensors in the perception layer collect environmental parameter information within the physical environment layer and send this information to the main controller. The main controller acquires the regional parameter information belonging to different environmental regions from the environmental parameter information, and determines different control logic strategies based on the regional parameter information of different environmental regions. The main controller determines the device operation information corresponding to the environmental area based on the control logic strategy corresponding to the regional parameter information. The main controller sends the device operation information corresponding to the environmental area to each execution device within the environmental area. Each execution device performs device operation based on the device operation information corresponding to the environmental area to change the regional parameter information of the environmental area.

4. The intelligent remote control system for bridge dehumidification according to claim 3, characterized in that, The device operation information is used to instruct the executing device to adjust from the current state to the target state. The main controller determines the device operation information corresponding to the environmental region based on the control logic strategy corresponding to the regional parameter information, including: The main controller preprocesses the temperature and humidity data to obtain preprocessed temperature and humidity data; Real-time dew point parameters are determined based on preprocessed temperature and humidity data. If the difference between the real-time dew point parameter and the user-set target dew point parameter is greater than the preset value, then calculate the temperature change rate and humidity change rate. Adaptive hysteresis calculation is performed based on the rate of temperature change and the rate of humidity change to obtain the adaptive hysteresis parameters; The target state of each execution device within the environmental area is determined based on the adaptive hysteresis parameter. The device operation information is determined based on the target state and current state of each execution device within the environmental area.

5. The intelligent remote control system for bridge dehumidification according to claim 4, characterized in that, The main controller preprocesses the temperature and humidity data to obtain preprocessed temperature and humidity data, including: The main controller filters and calibrates the temperature and humidity data to obtain pre-processed temperature and humidity data.

6. The intelligent remote control system for bridge dehumidification according to claim 1, characterized in that, The intelligent remote control system for bridge dehumidification includes a remote monitoring and control layer, which includes a client; the data communication and local control layer includes a gateway, which is connected to both the main controller and the client. The main controller sends the environmental parameter information to the gateway, and the gateway sends the environmental parameter information to the client. The client is used for real-time data visualization, equipment control, equipment parameter configuration, historical data storage and analysis, centralized alarm management, user permission management, system operation log management, and interfacing with third-party platforms.

7. The intelligent remote control system for bridge dehumidification according to claim 6, characterized in that, The data communication and local control layer includes a local operation panel, which is connected to the main controller. The local operation panel is used for mode switching, manual operation of the core module of the device, viewing the device's built-in alarm records, configuring device parameters, and displaying device data in real time.

8. The intelligent remote control system for bridge dehumidification according to claim 7, characterized in that, The temperature and humidity sensor includes a temperature sensor and a humidity sensor. The temperature and humidity data includes temperature data and humidity data. When the rate of change of the temperature data within the target time period is lower than a preset rate of change, the sampling frequency of the temperature sensor is reduced to a first frequency. When the rate of change of the temperature data within the target time period is not lower than the preset rate of change, the sampling frequency of the temperature sensor is increased to a second frequency.

9. The intelligent remote control system for bridge dehumidification according to claim 7, characterized in that, The main controller stores the environmental parameter information and device operation information in a local cache in chronological order. When the amount of data stored in the local cache exceeds a preset amount, the data stored in the local cache for a period of time exceeding the preset duration is deleted, and the new environmental parameter information and device operation information are stored in the local cache.

10. The intelligent remote control system for bridge dehumidification according to claim 1, characterized in that, The perception layer is connected to the main controller via an RS485 bus, and the execution layer is connected to the main controller via an RS485 bus.

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