High-efficiency waste heat and cooling water integrated priority heating system and method for FSRU

Abstract

This invention relates to the field of FSRU thermal energy regulation technology, specifically disclosing a high-efficiency waste heat and cooling water integrated priority heating system and method for FSRUs. The method includes: responding to collected multi-dimensional operating data, associating and marking the multi-dimensional operating data, and identifying the current operating condition level of the FSRU based on the marking results; if the operating condition level indicates the need for heat source switching, then determining a heat allocation scheme including the target heat source and flow path configuration according to the cross-domain priority matrix corresponding to the operating condition level. This invention can eliminate unstable factors such as fluid backflow, pump cavitation, and control signal oscillation while ensuring rapid response, significantly improving the robustness and switching smoothness of the FSRU energy supply system under extreme sea conditions, and achieving inherently safe cross-domain collaborative control.

Description

Technical Field

[0001] This invention relates to the field of FSRU thermal energy control technology, and in particular to a high-efficiency waste heat and cooling water integrated priority heating system and method for FSRU. Background Technology

[0002] Floating storage and regasification units (FSRUs) serve as offshore liquefied natural gas (LNG) receiving terminals. Their core process involves heating and regasifying cryogenic LNG before transporting it to onshore pipeline networks. To maintain an efficient and safe regasification process, FSRUs are typically equipped with a hybrid heating system consisting of seawater heating, waste heat recovery from marine equipment, and auxiliary boilers.

[0003] During normal operation, the control system mainly relies on simple temperature or pressure feedback loops to adjust the output of each heat source. That is, the backup heat source is only triggered when the main heat source is detected to be insufficient or malfunctioning.

[0004] However, under complex and ever-changing marine conditions, this traditional fault-response passive control logic suffers from significant timing response conflicts.

[0005] Specifically, when the FSRU faces extreme scenarios such as typhoons, combustible gas leaks, or communication disruptions requiring an emergency switch of the heat source flow path, the standby high-power pumps and valves need to overcome enormous mechanical inertia to start from a standstill and establish effective working head and flow. This inevitably results in a heating gap between the main heat source being cut off and the standby heat source becoming active. This contradiction between the mechanical response lag and the requirements of process continuity can easily lead to the freezing of intermediate media or interruption of regasification and external transmission.

[0006] Furthermore, the existing system lacks correlation analysis of multi-dimensional data on energy, safety, and communication, making it impossible to predict and take action in advance before a failure occurs. Once backflow or water hammer occurs, it will seriously threaten the inherent safety of the pipeline system. Summary of the Invention

[0007] This invention aims to at least partially address one of the technical problems in the related art. Therefore, the objective of this invention is to propose a highly efficient waste heat and cooling water integrated priority heating system and method for FSRUs, to improve the robustness and switching smoothness of the FSRU's energy supply system under extreme sea conditions.

[0008] To achieve the above objectives, a first aspect of the present invention provides a method for efficient integrated priority heating of waste heat and cooling water for FSRUs, comprising the following steps:

[0009] In response to the collected multi-dimensional operational data, the multi-dimensional operational data is associated and labeled, and the current operating condition level of the FSRU is identified based on the labeling results;

[0010] If the operating condition level indicates that a heat source switch is required, a heat distribution scheme including the target heat source and flow path configuration is determined according to the cross-domain priority matrix corresponding to the operating condition level.

[0011] Initiate a pre-action execution process for the target heat source and flow path configuration to establish switching conditions;

[0012] Execute the heat source switching command and take over the heat load according to the heat distribution scheme;

[0013] The pre-action execution process includes: before formally executing the heat source switching command, sending a pre-drive signal to the flow regulating valve group and fluid drive pump group associated with the target heat source; in response to the pre-drive signal, driving the flow regulating valve group to open to a first preset opening degree and driving the fluid drive pump group to start to a first preset speed to establish a pre-flow path circulation; monitoring the fluid state of the pre-flow path circulation, and determining that the pre-action execution process is completed when the fluid state meets the preset switching conditions.

[0014] To achieve the above objectives, a second aspect of the present invention provides a high-efficiency waste heat and cooling water integrated priority heating system for a FSRU (Floating Storage and Regasification Unit), the system comprising:

[0015] The multi-source data processing module is configured to respond to the collected multi-dimensional operational data, associate and label the multi-dimensional operational data, and identify the current operating condition level of the FSRU based on the labeling results;

[0016] The intelligent decision allocation module is configured to determine a heat allocation scheme that includes the target heat source and flow path configuration based on the cross-domain priority matrix corresponding to the operating condition level when the operating condition level indicates that heat source switching is required.

[0017] The pre-action execution control module is configured to initiate a pre-action execution process for the target heat source and flow path configuration in order to establish switching conditions;

[0018] The heat source switching execution module is configured to execute heat source switching commands and drive the actuator to take over the heat load according to the heat distribution scheme.

[0019] Specifically, the pre-action execution control module is configured to: send a pre-drive signal to the flow regulating valve group and fluid drive pump group associated with the target heat source before formally executing the heat source switching command; in response to the pre-drive signal, drive the flow regulating valve group to open to a first preset opening degree and drive the fluid drive pump group to start to a first preset speed to establish a pre-flow path circulation; monitor the fluid state of the pre-flow path circulation, and determine that the pre-action execution process is completed when the fluid state meets the preset switching conditions.

[0020] To achieve the above objectives, a third aspect of the present invention provides an electronic device including a memory, a processor, and a computer program stored in the memory. When the computer program is executed by the processor, it implements the above-described efficient waste heat and cooling water integrated priority heating method for FSRU.

[0021] The efficient waste heat and cooling water integrated priority heating system and method for FSRU in this invention realizes a fundamental change in the FSRU heat source switching mode by constructing a working condition identification mechanism and pre-action execution process based on multi-dimensional data association tags.

[0022] This solution utilizes the predicted operating conditions to drive the standby valve group and pump group to establish a preliminary flow path circulation before the formal switching command is issued. This effectively eliminates the response lag caused by the mechanical inertia of the actuator and solves the risk of process interruption caused by the heating gap. At the same time, combined with differential pressure balance adaptive correction and dual-track control logic, this invention can eliminate unstable factors such as fluid backflow, pump group cavitation and control signal oscillation while ensuring rapid response. It significantly improves the robustness and switching smoothness of the FSRU energy supply system under extreme sea conditions and achieves inherently safe control for cross-domain collaboration. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the process for the efficient waste heat and cooling water integrated priority heating method for FSRU provided by the present invention.

[0024] Figure 2 This is a schematic diagram illustrating the implementation of the high-efficiency waste heat and cooling water integrated priority heating system for FSRU provided by the present invention;

[0025] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0026] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0027] The following description, with reference to the accompanying drawings, describes an embodiment of the present invention: an efficient waste heat and cooling water integrated priority heating method, system, and electronic equipment for FSRU.

[0028] Example 1: This example provides a highly efficient integrated priority heating method for waste heat and cooling water in a Floating Storage and Regasification Unit (FSRU). This method is applied to the control system of the FSRU. The control system, based on an industrial-grade 5G communication architecture, connects a multi-source energy recovery and edge preprocessing subsystem, a distributed intelligent heat distribution and regulation subsystem, a pre-action multi-scenario heating execution subsystem, a predictive linkage energy storage buffer subsystem, and a full-condition fault-tolerant mode switching subsystem, achieving cross-domain collaborative energy scheduling. The method in this example aims to solve the technical challenges of heat source switching lag and system oscillation under extreme sea conditions through deep fusion of multi-dimensional data and a pre-action mechanism.

[0029] like Figure 1 As shown, the method in this embodiment includes the following steps:

[0030] Step S1: Multi-dimensional data collection and triple association labeling.

[0031] In this embodiment, the system begins with real-time sensing of the overall status of the FSRU. The control system first responds to the collected multi-dimensional operational data, which is uploaded in real time by a sensor network deployed at various key nodes of the FSRU.

[0032] Specifically, the data acquisition process covers three key dimensions: energy, security, and communication. For energy domain parameters, the system uses high-precision temperature transmitters, flow meters, and pressure sensors to acquire regasification load and waste heat temperature in real time. Waste heat temperature data is sourced from the ship's main engine cylinder liner water and exhaust gas boiler outlet, while regasification load data integrates the inlet and outlet temperature difference of the LNG vaporizer, flow rate, and pipeline pressure.

[0033] In addition, energy domain parameters further include cooling water temperature, cooling water flow rate, cooling water quality, solar radiation intensity, and collector outlet temperature. For safety domain parameter acquisition, the system uses dedicated sensors deployed on the deck and in critical equipment areas to obtain typhoon wind speed and combustible gas concentration data. Typhoon wind speed is measured by a strong wind-resistant anemometer, and combustible gas concentration is measured by an infrared gas detector. Simultaneously, safety domain parameters also include fire detector signals and vibration intensity data from critical rotating equipment. For communication domain parameter acquisition, the system uses diagnostic programs built into the communication module to monitor satellite communication signal strength, data transmission latency, and network packet loss rate in real time.

[0034] It is important to note that due to differences in data sampling frequencies and transmission paths among different sensors, the raw data is often discrete and unaligned on the time axis. Therefore, this embodiment introduces edge computing nodes into the multi-source energy recovery and edge preprocessing subsystem to associate and label multi-dimensional operational data.

[0035] Specifically, the association labeling process involves spatiotemporal alignment of energy domain parameters, security domain parameters, and communication domain parameters. Edge computing nodes utilize a high-precision clock synchronization protocol to lock the parameters of each domain at the same time point under a unified timestamp, subsequently generating triplet-based association labeling data containing energy load status, security risk status, and communication quality status. This triplet-based association labeling data constructs a holographic snapshot of the FSRU's operational status, enabling subsequent decision-making algorithms to reason based on complete information at the same moment, avoiding misjudgments caused by data latency. For example, triplet data at a certain moment might be labeled as high regasification load, high wind speed risk, and weak satellite signal; this structured data format lays a solid foundation for subsequent operational condition identification.

[0036] Step S2: Identification of operating condition level based on the labeling results.

[0037] After the data is cleaned and labeled, the control system identifies the current operating level of the FSRU based on the triplet-linked labeled data. The accurate classification of the operating level is a key prerequisite for determining the direction of the subsequent control strategy.

[0038] Specifically, this embodiment divides the operating conditions into three levels: normal operating conditions, warning operating conditions, and emergency operating conditions. The classification logic is based on a strict threshold judgment system. For typhoon wind speed parameters, the system presets a first wind speed threshold and a second wind speed threshold, where the second wind speed threshold is greater than the first wind speed threshold. For example, in this embodiment, the first wind speed threshold is set to 10 meters per second, and the second wind speed threshold is set to 15 meters per second. When the real-time monitored typhoon wind speed is less than or equal to the first wind speed threshold, the system determines that the current wind speed is within a safe range. If other parameters are also normal, it is classified as a normal operating condition. When the wind speed is greater than the first wind speed threshold and less than or equal to the second wind speed threshold, it indicates that the sea state is beginning to deteriorate, and the system determines it as a warning operating condition. When the wind speed is greater than the second wind speed threshold, it indicates that the FSRU is facing a strong typhoon threat, and the system immediately determines it as an emergency operating condition.

[0039] Similarly, for the combustible gas concentration parameter, the system presets a first concentration threshold and a second concentration threshold, where the second concentration threshold is greater than the first concentration threshold. For example, in this embodiment, the first concentration threshold is set to 0.3% VOL (volume percentage), and the second concentration threshold is set to 0.5% VOL. When the monitored combustible gas concentration is less than or equal to the first concentration threshold, it is determined to be a normal operating condition; when the concentration is greater than the first concentration threshold but less than the second concentration threshold, it is determined to be a warning operating condition, indicating a possible minor leak; when the concentration is greater than or equal to the second concentration threshold, it is determined to be an emergency operating condition, indicating a serious leak or explosion risk.

[0040] It is important to note that identifying the operating condition level is a comprehensive judgment process. If any critical safety parameter, such as wind speed or gas concentration, triggers a higher-level threshold, the system will determine the current operating condition level according to the highest risk level. For example, even if the wind speed is within the normal range, if the combustible gas concentration reaches the emergency threshold, the system will immediately enter emergency operating mode.

[0041] Step S3: Formulate the cross-domain priority matrix and heat allocation scheme.

[0042] If the operating condition level identified in step S2 indicates that a heat source switch is required, such as switching from a single waste heat recovery mode to a combined waste heat and auxiliary boiler heating mode, or cutting off unnecessary loads in an emergency, the control system will enter the decision-making stage. At this time, the system determines a heat allocation scheme that includes the target heat source and flow path configuration based on the cross-domain priority matrix corresponding to the operating condition level.

[0043] Specifically, the cross-domain priority matrix is ​​a multi-dimensional decision logic table that defines the weight ranking and resource allocation principles of the three domains of energy, safety, and communication under different operating conditions.

[0044] When the operating condition is normal, the system invokes an energy efficiency priority strategy. In this case, the cross-domain priority matrix indicates that energy efficiency takes precedence over communication adaptation, which in turn takes precedence over safety monitoring. Under this strategy, the core objective of the control system is to maximize waste heat recovery and utilization to reduce fuel consumption. The heat allocation scheme prioritizes the use of main unit waste heat and seawater thermal energy, precisely distributing it to regasification, equipment insulation, seawater desalination, and cooling scenarios. For example, the allocation ratio is set as follows: regasification 60%, equipment insulation 20%, seawater desalination 15%, and cooling 5%. At this point, a complete optimization algorithm intervenes, finely adjusting the valve openings of each flow path to ensure the overall system energy efficiency ratio reaches its optimal level.

[0045] When the operating condition level is a warning condition, the system invokes the safety warning priority strategy. At this time, the cross-domain priority matrix changes, indicating that safety warning takes precedence over energy stability, which in turn takes precedence over communication adaptation. Under this strategy, the system proactively reduces the load on non-core equipment and switches to an edge autonomous scheduling mode to reduce reliance on cloud communication. The heat allocation scheme centralizes resources, prioritizing heat supply for regasification and equipment insulation scenarios, while appropriately reducing or suspending energy supply for seawater desalination and cooling scenarios. For example, the regasification allocation ratio is increased to over 70%, equipment insulation is maintained at 25%, seawater desalination is reduced to 5%, and cooling is completely stopped to ensure the stability of core processes under harsh environments.

[0046] When the operating condition level is emergency, the system invokes a safety-first and communication self-rescue strategy. At this time, the cross-domain priority matrix indicates that safety priority has the highest weight, followed by communication self-rescue, with energy security taking a backseat. Under this strategy, the system will spare no effort to ensure the survival and safety of the FSRU. The heat allocation scheme will cut off all energy supply to the seawater desalination and cooling scenarios, and use all limited heat energy to maintain the minimum safety load of the regasification system and the heat tracing requirements of the fire protection system. Simultaneously, the system activates local islanding mode, cutting off external communication interference, with the local controller taking over all permissions to ensure at least one hour of independent operation even under extreme conditions, such as satellite signal interruption.

[0047] Step S4: Scheme generation under dual-track control logic

[0048] In determining the specific values ​​for the heat distribution scheme, this embodiment employs dual-track control logic to balance the conflict between response speed and control accuracy.

[0049] Specifically, the system monitors the load change rate of the FSRU in real time. This load change rate reflects the severity of fluctuations in regasification demand or external heat sources. If the load change rate is greater than or equal to a preset change rate threshold, for example, 10% per minute, it indicates that the system is in a state of severe fluctuation, at which point the timeliness of calculation is crucial. Therefore, the system activates the first control mode. In the first control mode, the system uses a pre-scheduling strategy library and fuzzy control logic to generate a heat allocation scheme. The pre-scheduling strategy library stores preset parameter templates for typical scenarios such as typhoons and leaks, while the fuzzy control logic discretizes complex continuous variables into simple membership functions, such as sufficient, moderate, and insufficient, and quickly outputs control commands through a lookup table method. The decision time can be shortened to less than 300 milliseconds, effectively responding to sudden disturbances.

[0050] Conversely, if the load change rate is less than the change rate threshold, it indicates that the system is in a relatively stable operating state, at which point control accuracy becomes the primary objective. Therefore, the system activates the second control mode. In the second control mode, the system performs global iterative calculations to generate a heat distribution scheme. This mode employs a complete optimization algorithm, based on a thermodynamic model, to iteratively solve the energy balance equation of the entire system in multiple rounds. Although the calculation time is relatively long, it can obtain the globally optimal combination of valve opening and pump speed, ensuring the long-term energy efficiency of the system.

[0051] Step S5: Energy storage buffer based on prediction linkage.

[0052] To further enhance the system's resilience to future disturbances, the method in this embodiment also includes a predictive-driven energy storage buffer step. This step is executed in parallel with real-time control, providing an energy reservoir for heat source switching.

[0053] Specifically, the system inputs historical operational data into the time-series prediction model. This model is built on a Long Short-Term Memory (LSTM) network, and its input data includes regasification load, waste heat parameters, solar radiation, ambient temperature, wind speed, and communication signal strength data within historical time windows, such as the past three months. The model outputs future regasification load trends, safety risk warnings, and communication status predictions for a preset time period, such as the next 1 to 5 minutes.

[0054] Based on the output of the time-series prediction model, the system dynamically adjusts the energy charging and releasing states of the thermal and cold storage devices. Both the thermal and cold storage devices are manufactured using high-performance vacuum insulation materials, resulting in extremely low heat loss rates.

[0055] For example, when a safety risk warning indicates a Class I meteorological risk, such as an approaching typhoon, the system predicts that heat source fluctuations may occur in the future. Therefore, it controls the thermal storage equipment to charge to the first high capacity threshold, such as 90%, and controls the cold storage equipment to charge to the middle capacity threshold, such as 50%, in order to reserve sufficient enthalpy and cooling capacity to cope with possible equipment shutdowns.

[0056] When a safety risk warning indicates a risk of gas leakage, in order to avoid secondary disasters caused by high-temperature heat sources, the system controls the heat storage equipment to maintain a safe capacity threshold, such as 60%, so as to retain a certain amount of emergency heat while reducing the risk of high temperature.

[0057] When a communication status prediction indicates a risk of communication interruption, the system anticipates the potential loss of remote dispatch commands. Therefore, it controls the thermal storage equipment to release energy at a preset, fixed rate, such as 10% of the stored energy per minute. This deterministic energy release strategy provides a stable reference heat source for the local controller, maintaining basic system operation until communication is restored or the emergency generator is activated.

[0058] Step S6: Initiation and implementation of the pre-action execution process.

[0059] After determining the target heat source and flow path configuration and ensuring energy reserves are in place, this embodiment proceeds to the next stage: initiating the pre-action execution process for the target heat source and flow path configuration. The core of this process is to act first and then switch, aiming to establish switching conditions before the formal switch and eliminate mechanical lag.

[0060] Specifically, before formally executing the heat source switching command, the control system sends pre-drive signals to the flow control valve group and fluid drive pump group associated with the target heat source and the standby heat source that is about to be put into use. The flow control valve group usually consists of electric quick-cut valves, and the fluid drive pump group consists of variable frequency circulating pumps.

[0061] In response to the pre-drive signal, the system drives the flow regulating valve group to open to a first preset opening degree. Optionally, the system sends an opening command to the flow regulating valve group corresponding to the backup heat source, adjusting the valve opening to a non-zero first preset opening degree. This first preset opening degree (e.g., set to 30%) is configured to establish a minimum sustaining flow rate without interfering with the main circuit operation. The physical significance of this action is that it breaks the static friction of the valve sealing surface, causing the valve core to be in a floating state, thus eliminating the dead zone time from full closure to the initial opening stage of the valve.

[0062] Simultaneously, the system drives the fluid-driven pump unit to start at a first preset speed. Optionally, the system sends a speed command to the fluid-driven pump unit corresponding to the backup heat source, adjusting the pump speed to the first preset speed. This first preset speed (e.g., set to 20% of the rated speed) is configured to establish a basic circulation head. This action causes the fluid in the backup pipeline to begin pre-acceleration, not only preheating the pipeline but also giving the fluid a certain kinetic energy, thus avoiding thermal shock caused by the sudden entry of cold fluid into the system.

[0063] Step S7: Monitoring and determination of the pre-circuit flow.

[0064] While executing the pre-action, the system continuously monitors the fluid status of the standby flow path. Fluid status includes pressure, temperature, and flow parameters within the standby pipeline. The pre-action execution process is considered complete when the fluid status meets preset switching conditions. Preset switching conditions typically include: stable standby pump outlet pressure, absence of airlocks in the pipeline, and fluid temperature reaching preheating standards.

[0065] It should also be noted that, in order to prevent fluid backflow and pump cavitation during the pre-action phase, this embodiment also introduces a differential pressure balance adaptive correction mechanism in the pre-action execution process. After sending a pre-drive signal to the backup heat source, the system collects the main side pressure value (i.e., the currently operating pipeline pressure) and the backup branch side pressure value (i.e., the backup pump outlet pressure) of the flow regulating valve group in real time, and calculates the real-time differential pressure value between the two.

[0066] The system determines whether the real-time differential pressure value meets the backflow risk condition. The backflow risk condition refers to the pressure value on the main pipeline side being greater than the pressure value on the standby branch pipeline side. This situation is particularly common when the FSRU is operating at high load because the main pipeline pressure is high. If the backflow risk condition is met, a simple fixed-speed pre-start may cause fluid from the main pipeline to backflow into the standby pump. Therefore, the system exempts the first preset speed limit and, based on the pump set head characteristic curve and the main pipeline side pressure value, calculates the pressure balance speed that can overcome the pressure value on the main pipeline side using the fluid mechanics similarity law.

[0067] Subsequently, the system drives the fluid-driven pump unit to accelerate to a target speed adjusted by adding a preset safety margin to the pressure equilibrium speed. This higher speed ensures that the pressure on the standby side is slightly higher than that on the main line. Simultaneously, to prevent overheating and cavitation of the fluid within the pump body at high speed and low flow, the system controls the flow regulating valve group to open the internal bypass return path, for example, through the bypass port of a three-way valve, establishing a high-pressure, zero-flow standby maintenance state. In this state, the fluid circulates slightly within the standby circuit, maintaining a high pressure head sufficient to switch to the main line while also carrying away heat from the pump body until a formal switching command is received.

[0068] Step S8: Execution of heat source switching command.

[0069] Once the pre-action execution process is completed and all switching conditions are met, the control system issues a formal heat source switching command. At this point, the heat source switching execution module intervenes and takes over the heat load according to the heat distribution plan.

[0070] Because the pre-action mechanism has already prepared the backup flow path to a ready-to-go state, such as valve slight opening, pump pre-spinning, and pressure balancing, the formal switching process no longer requires a lengthy start-up delay. The system only needs to drive the flow regulating valve group to quickly adjust from the first preset opening to the target opening (calculated by the dual-track control logic) and simultaneously increase the speed of the fluid-driven pump group. This process not only controls the total delay of heat source switching to an extremely short time, such as within 200 milliseconds, but also, because the pressure has been pre-balanced, there will be no severe pressure drop or water hammer impact when the valve opens, achieving a seamless switching in the sense of fluid dynamics.

[0071] In addition, during the switching process, the predictive linkage energy storage buffer subsystem will also release energy from the heat storage tank according to the previous prediction results to fill the small energy gap that may occur at the moment of switching, further smoothing the outlet temperature fluctuation of the regasifier and ensuring the quality stability of natural gas export.

[0072] In summary, this embodiment constructs a complete integrated priority heating method for efficient waste heat and cooling water of FSRU. This method not only solves the problem of lag in response of traditional control logic, but also greatly improves the survivability and operational efficiency of FSRU in extreme sea conditions through comprehensive fault-tolerant and predictive design.

[0073] Example 2: Based on Example 1, this example further refines the design for extreme operating conditions in the pre-action execution process. Specifically, this example focuses on the hydrodynamic instability that may be triggered when the main FSRU's main network is operating under high pressure and a backup heat source is connected.

[0074] To address this issue, this embodiment details the implementation mechanism of the differential pressure balance adaptive correction step. By introducing closed-loop pressure feedback and dynamic speed optimization logic, it ensures absolute stability and safety of the heat source switching process at the fluid dynamics level.

[0075] In the control logic of this embodiment, after the system enters the pre-action execution process and sends a pre-drive signal to the backup heat source, the first key step is to perform high-precision real-time mapping of the pressure field of the relevant pipeline network.

[0076] Specifically, after sending a pre-drive signal to the backup heat source, the system immediately initiates a real-time acquisition program for the pressure environment on both sides of the flow control valve group. This process relies on high-frequency pressure transmitters deployed at key locations in the pipeline. The system acquires the pressure values ​​on the main branch side and the backup branch side of the flow control valve group in real time. The main branch side pressure value refers to the static pressure of the fluid currently bearing the main heat load in the operating pipeline network; this pressure value directly reflects the system back pressure that must be overcome when the backup heat source is switched in. The backup branch side pressure value refers to the fluid pressure in the pipe section between the outlet of the backup fluid drive pump group and the inlet of the flow control valve group; this pressure value reflects the current energy momentum established by the backup heat source.

[0077] It is important to note that, to ensure the real-time nature and accuracy of the data and avoid misjudgments caused by pipeline pulsation or sensor noise, the multi-source energy recovery and edge preprocessing subsystem performs smoothing and filtering on the acquired raw pressure signals. The system synchronously reads the pressure values ​​on the main road side and the backup branch road side at millisecond intervals and calculates the real-time pressure difference between them. This real-time pressure difference is defined as the difference between the main road side pressure value and the backup branch road side pressure value; it is the core basis for determining whether there are any physical connection risks in the system.

[0078] After obtaining the real-time differential pressure value after cleaning and calculation, the control system enters the logic decision-making stage to assess the risks that may arise from executing the default strategy.

[0079] Specifically, the system determines whether the real-time differential pressure value meets the backflow risk condition. In this embodiment, the backflow risk condition is strictly defined as the main pipeline pressure value being greater than the backup branch pressure value. From a fluid dynamics perspective, when the flow control valve assembly is open, the fluid always flows from the high-pressure area to the low-pressure area. If the main pipeline pressure value is higher than the backup branch pressure value, once the valve opens, the high-temperature, high-pressure main pipeline fluid will instantly backflow into the backup branch. This backflow phenomenon not only causes the backup fluid to encounter a reverse impact torque, damaging the mechanical seal and bearing system, but also causes a sudden drop in the main pipeline network pressure, triggering parameter fluctuations or even shutdowns in the downstream regasification process.

[0080] For example, if the determination result shows that the backflow risk condition is not met, that is, the pressure value on the standby branch side is already higher than the pressure value on the main branch side, it means that the current output head of the standby pump set is sufficient to overcome the system back pressure, and the system will continue to maintain the first preset speed and the first preset opening degree as described in Example 1, waiting for the switchover as originally planned. However, if the determination result shows that the backflow risk condition is met, this usually occurs when the FSRU is in full-load high-pressure output condition, or when the standby pump set is in the initial stage of cold start. At this time, the pump outlet head generated by the default first preset speed, such as 20% of the rated speed, is often insufficient to balance the high pressure of the main branch, so the differential pressure balance adaptive correction step must be triggered.

[0081] Once the backflow risk conditions are confirmed, the primary task of the control system is to break the conventional pre-start restrictions and unleash greater power potential for the standby pump set.

[0082] Specifically, if the backflow risk condition is met, the system performs an operation to exempt the first preset speed limit. This means that the control algorithm is no longer limited by the conventional safety constraint that the speed must not exceed 20% during the pre-start-up phase, but instead enters a dynamic speed regulation mode driven by the pressure target. In this mode, the system calculates a pressure balance speed that can overcome the pressure value of the main road side based on the pump head characteristics and the main road side pressure value.

[0083] Optionally, this calculation process relies on a database of performance curves of fluid-driven pump sets pre-stored in the distributed intelligent heat distribution and control subsystem. The pump set head characteristics typically exhibit a nonlinear functional relationship between speed, flow rate, and head. In the pre-action phase, since the valve is not yet connected to the main line, the flow rate through the main valve port is approximately zero. Therefore, the system constructs a calculation model based on the pump similarity law. According to the similarity law, the pump head is proportional to the square of the speed. The system first reads the pressure value on the main line side and converts it into an equivalent liquid column height, i.e., the target head. Subsequently, based on the current pressure value on the backup branch side and the current speed, the system back-calculates the theoretical speed required to achieve the target head under this zero-flow condition; this theoretical speed is defined as the pressure balance speed.

[0084] It is important to note that the pressure balance speed is a dynamically changing value. Because the pressure value on the main road side may fluctuate with factors such as the seawater temperature of the FSRU and the LNG vaporization rate, the control system must continuously update the calculation result in a closed-loop manner to ensure that the calculated pressure balance speed always closely follows the changing trend of the main road pressure.

[0085] After calculating the theoretical pressure equilibrium speed, in order to ensure absolutely positive flow during the switching process and establish sufficient control margin, the system needs to introduce a safety margin.

[0086] Specifically, the system drives the fluid-driven pump unit to accelerate to a corrected target speed, which is the pressure balance speed plus a preset safety margin. The preset safety margin is an empirical engineering value designed to compensate for errors in pipeline resistance calculations, sensor drift, and instantaneous fluctuations in main pipeline pressure. For example, the system can add a 5% to 10% speed increment to the pressure balance speed. The physical meaning of the corrected target speed is that when the pump unit reaches this speed, the static pressure at its outlet will be slightly higher than the pressure value on the main pipeline side. This artificially creates a small positive pressure gradient from the backup branch to the main pipeline.

[0087] For example, when the fluid-driven pump unit receives a command to accelerate to the corrected target speed, the variable frequency drive will control the motor frequency to rise smoothly. During this process, the pressure value on the backup branch side will increase accordingly. When the corrected target speed is reached, the fluid in the backup branch acts like a compressed spring, accumulating enough potential energy to push aside the fluid in the main branch, thus completely eliminating the physical possibility of backflow.

[0088] However, simply increasing the speed, while solving the backflow risk, introduces another serious technical problem: the risk of overheating and cavitation in the pump unit under zero-flow, high-speed conditions. When the fluid-driven pump unit operates at a low speed, typically much higher than the target speed (usually 20% above the target speed), and the main flow control valve is not yet open, the fluid inside the pump body is essentially in a stalled state. A large amount of mechanical energy is converted into heat, causing a sharp rise in the fluid temperature inside the pump casing, which easily leads to cavitation and damage to the impeller.

[0089] To resolve this conflict, this embodiment integrates a synchronous flow path topology reconfiguration operation into the pre-action execution process. Specifically, while accelerating the pump unit, the system controls the flow regulating valve group to open the internal bypass return path. In the hardware configuration of this embodiment, the flow regulating valve group includes a three-way valve with a special flow channel design or a matching minimum flow return valve. The internal bypass return path refers to a closed pipeline that returns directly from the pump unit outlet to the pump unit inlet or low-pressure expansion tank without passing through the main pipeline network.

[0090] It is important to note that opening the internal bypass return path does not mean depressurization, but rather establishing a high-pressure, zero-flow standby state. Here, "high pressure" refers to the fluid maintaining a high static pressure at the main inlet of the valve, established by the corrected target rotational speed, ready to switch to the main line at any time; "zero flow" means that there is no fluid injection relative to the main pipeline network, but the fluid is kept flowing in the internal small circulation of the backup heat source.

[0091] For example, when the spool of the three-way valve rotates to a specific angle, or when the dedicated bypass solenoid valve opens, a portion of the fluid is allowed to flow back to the inlet through the internal bypass return path. This small flow of circulating fluid carries away the frictional heat generated by the high-speed rotation of the pump unit, ensuring that the pump body temperature is maintained within a safe range and effectively preventing cavitation. At this time, the entire standby heat source subsystem is actually in a hot standby state: the pump unit is rotating at high speed, the outlet pressure is higher than the main line, and there is internal cooling circulation, but it has not yet output to the main line.

[0092] Thus, through the series of complex adaptive correction steps described above, the system successfully established and maintained the high-voltage zero-flow waiting state until a formal switching command was received.

[0093] Specifically, in this state, the backup heat source and the main heat source are separated only by a valve, and the pressure difference across the valve has been precisely controlled to a small positive value. This is an extremely stable critical equilibrium state. When the distributed intelligent heat distribution and control subsystem finally issues a formal switching command, the main valve port of the flow regulating valve group only needs to be slightly rotated to open, allowing the backup fluid to smoothly enter the main line without overcoming the reverse pressure difference or causing drastic fluctuations in the pipeline pressure. Simultaneously, as the main line flow is established, the system will synchronously close the internal bypass return path, enabling the pumps to supply heat to the main pipeline at full capacity.

[0094] In summary, Example 2 demonstrates how the FSRU control system cleverly resolves the core contradictions of fluid backflow and pump cavitation under extreme high-pressure conditions through real-time differential pressure monitoring, dynamic speed correction, and bypass circulation. This adaptive pre-action mechanism based on physical condition perception significantly improves the robustness of heat source switching operations, providing strong technical support for the continuous and stable operation of the FSRU in complex sea conditions.

[0095] Example 3: Building upon Examples 1 and 2, this example specifically focuses on the stability issues that dual-track control logic may face in actual operation, and elaborates on the anti-oscillation and disturbance-free takeover steps for algorithm switching. This example aims to solve the problem of repeated mode jumps that may occur in the control system when the FSRU operating conditions frequently switch between stable and fluctuating states, as well as the step error problem of actuator commands caused by differences in calculation accuracy between different algorithms, thereby ensuring a smooth transition of the heat distribution scheme under all operating conditions and the inherent safety of the pipeline system.

[0096] In the control system of this embodiment, the distributed intelligent heat distribution and regulation subsystem adopts an advanced dual-track control logic, which dynamically switches between a rule-based first control mode and a global iteration-based second control mode according to the magnitude of the load change rate. The first control mode focuses on response speed and is suitable for highly fluctuating operating conditions; the second control mode focuses on energy efficiency optimization and is suitable for steady-state operating conditions.

[0097] It is important to note that in actual offshore operating environments, the load change rate is not a constant value, but a time-varying signal superimposed with high-frequency noise. Limited by sensor measurement accuracy, turbulent disturbances in the seawater flow field, and minute data transmission delays, the calculated load change rate often exhibits sawtooth-like fluctuations around a threshold. If the control system relies solely on a single hard threshold for judgment, when the real-time load change rate fluctuates slightly around the threshold, the system will repeatedly switch between two control modes within a millisecond timescale. This phenomenon is known as the ping-pong effect or oscillation in control logic. It not only exhausts the controller's computing resources, leading to system crashes, but also sends high-frequency jittery control commands to the flow control valve assembly, exacerbating mechanical wear on the actuators and even causing resonance. Therefore, an algorithmic switching anti-oscillation mechanism must be introduced.

[0098] To completely eliminate repeated mode switching at the critical threshold, this embodiment introduces hysteresis comparison logic with memory characteristics. Specifically, the system no longer uses a single switching criterion, but sets dual hysteresis switching thresholds.

[0099] For example, this dual hysteresis switching threshold comprises two parameters with a clearly defined numerical interval: a rise trigger threshold and a fall recovery threshold. The rise trigger threshold is defined as a value greater than the rate of change threshold; while the fall recovery threshold is defined as a value less than the rate of change threshold. With this setting, the system constructs a non-sensitive buffer within the decision logic, covering a common range of signal and noise.

[0100] Specifically, assuming the base rate of change threshold is set to 10% per minute, this embodiment can set the rise trigger threshold to 12% per minute and the descent recovery threshold to 8% per minute. These two threshold values ​​are not fixed but can be adaptively adjusted based on the sea state level and historical operational data of the FSRU's location. When sea conditions are severe or signal noise is high, the system will automatically increase the difference between the rise trigger threshold and the descent recovery threshold to enhance the system's anti-interference capability.

[0101] Based on the aforementioned dual hysteresis switching thresholds, this embodiment establishes strict mode switching execution logic and introduces a time-dimensional filtering mechanism.

[0102] Specifically, the system only determines that a substantial and drastic fluctuation has occurred in the operating condition when the load change rate remains consistently above the rising trigger threshold, thereby triggering a switch from the second control mode to the first control mode. Here, "consistently above" means that the load change rate must remain above the rising trigger threshold for multiple consecutive sampling periods, or within a preset time window. Any instantaneous spike pulse that fails to maintain a sufficient length on the time axis will be considered an interference signal and filtered out, and the system will maintain the current control mode.

[0103] Similarly, the system only determines that the operating condition has truly returned to a stable state when the load change rate remains below the descent recovery threshold, thereby triggering a return from the first control mode to the second control mode. Only when the load change rate falls below the lower descent recovery threshold and remains stable does the system consider the energy of the fluctuation to have been completely attenuated, and it can safely switch back to the high-precision optimization algorithm.

[0104] For example, if the current load change rate is 11% per minute, although it exceeds the base threshold of 10%, it has not yet reached the rise trigger threshold of 12%. The system will continue to maintain the second control mode and continue to perform global optimization calculations. This hysteresis design is like installing a shock absorber on the control system, effectively filtering out invalid switching requests and ensuring the consistency of the control strategy.

[0105] Having addressed the switching frequency issue, this embodiment further addresses the switching quality issue, namely, disruptive takeover. When the system decides to perform a mode switch, particularly when switching from a computationally coarse but fast first control mode (typically based on fuzzy control or lookup table methods) back to a computationally refined but complex second control mode (typically based on nonlinear programming or genetic algorithms), it faces a significant risk of instruction mutation.

[0106] It is important to note that the first control mode, due to its use of fuzzy logic to discretize continuous variables (e.g., dividing them into three levels: sufficient, medium, and insufficient), typically outputs valve opening commands in a stepped manner with lower precision. The second control mode, on the other hand, seeks a mathematically optimal global solution, and its calculation results are usually accurate to decimals. At the moment of switching, due to the drastically different computing principles, the target opening values ​​calculated by the two algorithms for the same operating condition may differ significantly. For example, the first control mode might instruct the valve to remain at 50% opening, while the optimal solution calculated after the second control mode is activated might be 65%. If control is directly transferred, the actuator will receive a command to instantly jump 15%, which will cause violent movements in the hydraulic system, triggering a destructive water hammer effect in the pipeline and threatening pipeline safety.

[0107] To eliminate actuator command steps and achieve a smooth transition, this embodiment forcibly inserts an intermediate constraint step at the moment of mode switching from the first control mode to the second control mode, namely, performing an initial unanchoring operation. The core idea of ​​this operation is: in the initial stage of switching, temporarily sacrifice the global optimization capability of the second control mode, forcing it to find a local optimum near the current physical state, thereby ensuring the continuity of the output signal.

[0108] Specifically, the first step of this initial unanchoring operation is a status read. The system reads the target opening value of the actuator at the current moment from the output of the first control mode in real time. This target opening value represents the actual physical position command of the flow control valve group in the FSRU pipeline system at the moment before the switch, and is also the reference point for the current system fluid dynamic balance.

[0109] Next, the system reconstructs the boundaries of the solver for the upcoming second control mode. The system sets the target opening value as the center point of the search domain calculated in the first iteration of the second control mode. In conventional global optimization algorithms, the search domain is usually global, such as 0% to 100% opening. However, in the anchoring operation of this embodiment, the solver's field of view is artificially focused on the vicinity of the current valve position.

[0110] Subsequently, the system sets a search radius constraint based on the target opening value. This search radius constraint is a preset, small numerical range, such as ±2% or ±5%. This constraint defines a safe corridor that allows the second control mode to make adjustments during the initial takeover phase.

[0111] After setting the search domain center point and search radius constraints, the system activates the iterative calculation engine of the second control mode. Specifically, the system forces the first control command generated by the second control mode to fall within the search radius constraint range. This means that regardless of where the theoretically optimal global solution is located, the output of the second control mode in the first calculation cycle after taking over is mathematically constrained to the range of current opening minus search radius to current opening plus search radius.

[0112] Assuming the opening degree output by the first control mode at the moment of switching is 50%, and the set search radius constraint is 2%, then even if the second control mode calculates that the theoretically optimal opening degree should be 65%, its output command in the first frame can only be limited to between 48% and 52%, for example, an output boundary value of 52%. Thus, for the actuator, the change in control command from 50% to 52% is a tiny, continuous change, resulting in minimal valve movement, completely avoiding water hammer impact, and achieving a smooth transition of the control signal.

[0113] It is important to note that the initial unanchoring operation is not a permanent restriction. After completing the uninterrupted output of the first control command, the system will employ a gradual release strategy.

[0114] Over the next few calculation cycles, the system will gradually expand the range of the search radius constraint, or move the center point of the search domain toward the theoretical optimal solution. In this way, the control commands output by the second control mode will start from the anchor point and gradually approach the global optimal solution with a controlled slope, for example, gradually transitioning from 52% to 65%.

[0115] Finally, once the control commands smoothly transition to a region close to the global optimum, the system will completely remove the search radius constraint and restore the global optimization capability of the second control mode. This process may take several seconds to tens of seconds, but at the physical level, it ensures that the FSRU's heat distribution system maintains a stable fluid state throughout the algorithm transition, without any abrupt pressure fluctuations or flow interruptions.

[0116] In summary, Example 3, by detailing the setting of the dual hysteresis switching threshold, the continuity determination logic, and the disturbance-free takeover mechanism based on initial de-anchoring, constructs a complete algorithm switching anti-oscillation and smooth transition scheme. This scheme effectively solves the stability problem of dual-track control logic in engineering implementation, ensuring that the FSRU control system can leverage the advantages of different algorithms while guaranteeing the continuity and safety of system operation when facing complex and ever-changing marine conditions. This fully demonstrates the creativity and practical value of this invention in the field of industrial control.

[0117] Example 4: Figure 2 As shown, this embodiment provides a high-efficiency waste heat and cooling water integrated priority heating system for FSRU. This system is a hardware and software combination that implements the methods described in Embodiments 1, 2 and 3.

[0118] This embodiment focuses on describing the modular composition of the system at the physical architecture level and the logical interaction between its functional modules. This system is applied in a Floating Storage and Regasification Unit (FSRU) to address the contradiction between the mechanical response lag and process continuity requirements of traditional control logic, as well as the safety hazards caused by the lack of multi-dimensional data correlation analysis, as mentioned in the background section. Through the deployment of this system, cross-domain collaborative intrinsically safe control of the FSRU can be achieved under complex sea conditions.

[0119] The system in this embodiment mainly consists of four core functional modules: a multi-source data processing module, an intelligent decision-making and allocation module, a pre-action execution control module, and a heat source switching execution module. These modules rely on the existing industrial control network of the FSRU and the newly added edge computing nodes to form a closed-loop intelligent control system. The multi-source data processing module is the perception center of the entire system, and its main responsibility is to construct a holographic view of the FSRU's operating status. This module is configured to respond to the collected multi-dimensional operating data, associate and label the multi-dimensional operating data, and identify the current operating condition level of the FSRU based on the labeling results.

[0120] In its implementation, the multi-source data processing module connects to sensor arrays distributed throughout the FSRU via an industrial fieldbus and wireless sensor network. This corresponds to the data acquisition steps described in Example 1. This module not only passively receives data but also possesses active edge computing capabilities. Upon receiving raw data such as regasification load and waste heat parameters from the energy domain, wind speed and gas concentration from the safety domain, and satellite signal strength from the communication domain, the multi-source data processing module performs spatiotemporal alignment operations to generate triplet-associated tag data.

[0121] Based on this structured labeled data, the operating condition identification algorithm built into the multi-source data processing module will determine the current operating condition level of the FSRU in real time. As described in Example 1, the module will accurately classify the system status into normal operating condition, warning operating condition, or emergency operating condition based on preset wind speed thresholds and combustible gas concentration thresholds. This identification result serves as the trigger source for all subsequent control actions, solving the problem of the system's lack of fault prediction capability.

[0122] The intelligent decision allocation module receives the operating condition level signal from the multi-source data processing module. This module is configured to determine a heat allocation scheme that includes the target heat source and flow path configuration based on the cross-domain priority matrix corresponding to the operating condition level when the operating condition level indicates that heat source switching is required.

[0123] At the hardware level, this module is typically deployed in a redundantly configured central controller. Internally, it stores the cross-domain priority matrix and pre-scheduling strategy library described in Example 1. When a warning or emergency signal is received, the intelligent decision-making allocation module immediately retrieves the corresponding strategy table. For example, in an emergency, the module automatically invokes the safety priority strategy to calculate the specific flow allocation ratio for cutting off the seawater desalination load and fully guaranteeing the regasification security load.

[0124] Furthermore, the intelligent decision-making allocation module integrates the dual-track control logic detailed in Embodiment 3 and the LSTM prediction model described in Embodiment 1. When generating a heat allocation scheme, this module assesses the load change rate in real time. If the system is in a highly volatile state, the module activates the first control mode to quickly generate instructions; if the system is in a steady state, it activates the second control mode for global optimization. Simultaneously, the module also combines future load trend predictions to send energy charging and releasing instructions to the predictive-linked energy storage buffer subsystem, ensuring sufficient energy reserves during heat source switching.

[0125] The pre-action execution control module is a key execution unit for achieving the beneficial effects of this system, specifically designed to eliminate mechanical response lag. This module is configured to initiate a pre-action execution process for the target heat source and flow path configuration to establish switching conditions.

[0126] This module is directly connected to the actuator interface at the bottom layer of the FSRU. When executing the pre-action execution process, the pre-action execution control module is specifically configured to send pre-drive signals to the flow regulating valve group and fluid drive pump group associated with the target heat source before formally executing the heat source switching command.

[0127] Specifically, in response to the pre-drive signal, the module drives the flow regulating valve group to open to a first preset opening degree via a frequency converter and a positioner, and drives the fluid drive pump group to start at a first preset speed. This action establishes a preliminary flow path circulation in the standby pipeline. At this time, the monitoring subroutine inside the module continuously reads the pressure and temperature sensor data in the loop to monitor the fluid state of the preliminary flow path circulation.

[0128] More importantly, the pre-action execution control module integrates the differential pressure balance adaptive function described in Embodiment 2. During the establishment of the pre-flow path circulation, this module calculates the pressure difference between the main line and the backup branch in real time. If a backflow risk is detected, the module automatically adjusts the speed of the fluid-driven pump to the pressure balance speed and controls the flow regulating valve group to open the internal bypass return path. Only when the fluid state meets the preset switching conditions, i.e., the backup side pressure is stable and slightly higher than the main line side pressure, and the pump runs smoothly without cavitation, will the module determine that the pre-action execution process is complete and send a ready signal to the next level module. This mechanism fundamentally solves the heating gap problem caused by waiting for the pump to start in traditional control.

[0129] The heat source switching execution module is the final executor of the system's actions. This module is configured to execute heat source switching commands, driving the actuators to take over the heat load according to the heat distribution scheme.

[0130] Upon receiving the ready signal from the pre-action execution control module and the final target opening command generated by the intelligent decision allocation module, the heat source switching execution module will immediately take action. Since the pre-action module has already adjusted the physical system to a ready state, the heat source switching execution module no longer needs to perform complex startup timing control. It only needs to quickly and smoothly adjust the flow regulating valve group from the first preset opening to the target opening and simultaneously close the internal bypass return path.

[0131] During this process, the heat source switching execution module also works in conjunction with the non-disruptive takeover logic described in Example 3 to ensure that the valve action commands are continuous at the moment of control transfer, avoiding water hammer impact on the pipeline network caused by step signals. Through this close collaboration between modules, this system achieves millisecond-level seamless heat source switching under extreme sea conditions, ensuring the continuity and safety of the FSRU regasification process.

[0132] In summary, through detailed descriptions of the multi-source data processing module, intelligent decision allocation module, pre-action execution control module, and heat source switching execution module, Example 4 constructs a complete FSRU high-efficiency heating system.

[0133] Example 5: Corresponding to the above examples, the present invention also proposes an electronic device.

[0134] like Figure 3 The diagram shows a structural schematic of an electronic device according to the present invention. The electronic device 100 includes a processor 101 and a memory 103. The processor 101 and the memory 103 are connected, for example, via a bus 102. Optionally, the electronic device 100 may further include a transceiver 104. It should be noted that in practical applications, the transceiver 104 is not limited to one unit, and the structure of this electronic device 100 does not constitute a limitation on the embodiments of the present invention.

[0135] Processor 101 may be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA, or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 101 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0136] Bus 102 may include a pathway for transmitting information between the aforementioned components. Bus 102 may be a PCI bus or an EISA bus, etc. Bus 102 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0137] The memory 103 stores a computer program corresponding to the efficient waste heat and cooling water integrated priority heating method for an FSRU according to the above embodiments of the present invention. This computer program is controlled and executed by the processor 101. The processor 101 executes the computer program stored in the memory 103 to implement the content shown in the aforementioned method embodiments.

[0138] Among them, electronic devices 100 include, but are not limited to: mobile terminals such as laptops and PADs (tablet computers) and fixed terminals such as desktop computers. Figure 3 The electronic device 100 shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present invention.

[0139] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A highly efficient waste heat and cooling water integrated priority heating method for FSRU, characterized in that, include: In response to the collected multi-dimensional operational data, the multi-dimensional operational data is associated and labeled, and the current operating condition level of the FSRU is identified based on the labeling results; If the operating condition level indicates that a heat source switch is required, a heat distribution scheme including the target heat source and flow path configuration is determined according to the cross-domain priority matrix corresponding to the operating condition level. Initiate a pre-action execution process for the target heat source and flow path configuration to establish switching conditions; Execute the heat source switching command and take over the heat load according to the heat distribution scheme; The pre-action execution process includes: before formally executing the heat source switching command, sending a pre-drive signal to the flow regulating valve group and fluid drive pump group associated with the target heat source; in response to the pre-drive signal, driving the flow regulating valve group to open to a first preset opening degree and driving the fluid drive pump group to start to a first preset speed to establish a pre-flow path circulation; monitoring the fluid state of the pre-flow path circulation, and determining that the pre-action execution process is completed when the fluid state meets the preset switching conditions.

2. The method according to claim 1, characterized in that, The association and labeling of the multi-dimensional operational data includes: Collect parameters from the energy domain, security domain, and communication domain. The energy domain parameters, security domain parameters, and communication domain parameters at the same time segment are spatiotemporally aligned to generate triplet-associated tag data containing energy load status, security risk status, and communication quality status. Based on the triplet-associated label data, the operating condition levels are divided into normal operating conditions, early warning operating conditions, and emergency operating conditions.

3. The method according to claim 2, characterized in that, The step of determining a heat allocation scheme, including the target heat source and flow path configuration, based on the cross-domain priority matrix corresponding to the operating condition level includes: When the operating condition level is normal, the energy efficiency priority strategy is invoked to maximize the waste heat recovery and utilization rate and allocate it to regasification, equipment insulation, seawater desalination and cooling scenarios. When the operating condition level is a warning condition, the safety warning priority strategy is invoked to reduce the load on non-core equipment and switch to autonomous scheduling mode to prioritize the heat supply for regasification and equipment insulation scenarios. When the operating condition level is an emergency condition, the safety priority and communication self-rescue strategy is invoked to cut off the energy supply to the seawater desalination and cooling scenarios and activate the local island mode.

4. The method according to claim 1, characterized in that, The step of driving the flow regulating valve assembly to open to a first preset opening degree and driving the fluid drive pump assembly to start at a first preset speed includes: Send an opening command to the flow regulating valve group corresponding to the backup heat source to adjust the valve opening to a non-zero first preset opening, the first preset opening being configured to establish a minimum sustaining flow without interfering with the main line operation; A speed command is sent to the fluid-driven pump unit corresponding to the backup heat source to adjust the pump speed to the first preset speed, which is configured to establish a basic circulation head.

5. The method according to claim 1, characterized in that, The method further includes a prediction-linked energy storage buffer step, specifically: Input historical operating data into the time series prediction model to output the regasification load change trend, safety risk warning and communication status prediction within a future preset time period; Based on the output of the time-series prediction model, the energy charging and releasing states of the thermal storage and cold storage devices are dynamically adjusted. The input data for the time-series prediction model includes regasification load, waste heat parameters, solar radiation, ambient temperature, wind speed, and communication signal strength data within the historical time window.

6. The method according to claim 5, characterized in that, The dynamic adjustment of the energy charging and releasing states of the thermal storage and cold storage devices includes: In response to the safety risk warning indication of the first type of meteorological risk, the thermal storage device is controlled to charge to the first high capacity threshold, and the cold storage device is controlled to charge to the middle capacity threshold. In response to the safety risk warning indicating a risk of gas leakage, the thermal storage device is controlled to maintain a safe capacity threshold. In response to the communication status prediction indicating the risk of communication interruption, the thermal storage device is controlled to release energy at a preset fixed rate to maintain the basic operation of the system.

7. The method according to claim 1, characterized in that, The process of determining the heat distribution scheme, which includes the target heat source and flow path configuration, employs a dual-track control logic, specifically: Real-time monitoring of FSRU load change rate; If the load change rate is greater than or equal to the preset change rate threshold, the first control mode is activated, and the heat distribution scheme is generated using the pre-scheduling strategy library and fuzzy control logic. If the load change rate is less than the change rate threshold, the second control mode is activated to perform global iterative calculations to generate the heat distribution scheme.

8. The method according to claim 4, characterized in that, The pre-action execution process also includes a differential pressure balance adaptive correction step, which specifically involves: After sending a pre-drive signal to the backup heat source, the pressure values ​​of the main side and the backup branch side of the flow regulating valve group are collected in real time, and the real-time pressure difference between the two is calculated. Determine whether the real-time differential pressure value meets the backflow risk condition, wherein the backflow risk condition refers to the pressure value on the main road side being greater than the pressure value on the backup branch road side. If the backflow risk condition is met, the first preset speed limit is waived, and a pressure balance speed that can overcome the main road side pressure value is calculated based on the pump set head characteristics and the main road side pressure value. The fluid drive pump group is driven to accelerate to the corrected target speed after the pressure balance speed is superimposed with the preset safety margin, and at the same time the flow regulating valve group is controlled to open the internal bypass return path to establish a high-pressure zero flow waiting and maintenance state until a formal switching command is received.

9. The method according to claim 7, characterized in that, The dual-track control logic also includes an algorithm switching step for anti-oscillation and disturbance-free takeover, which specifically involves: Set a dual hysteresis switching threshold, and define an upward trigger threshold that is greater than the rate of change threshold and a downward recovery threshold that is less than the rate of change threshold; Switch to the first control mode only when the load change rate remains above the rising trigger threshold; Switch back to the second control mode only when the load change rate remains below the decrease recovery threshold; At the instant of switching from the first control mode to the second control mode, an initial de-anchoring operation is performed: the target opening value of the actuator at the current moment is read from the output of the first control mode; The target opening value is set as the center point of the search domain calculated in the first iteration of the second control mode, and the search radius constraint is set based on the target opening value, so as to force the first control command generated by the second control mode to fall within the search radius constraint range, thereby achieving a smooth transition of the control signal.

10. A high-efficiency waste heat and cooling water integrated priority heating system for FSRU, characterized in that, The system, used in a floating storage and regasification unit (FSRU), includes: The multi-source data processing module is configured to respond to the collected multi-dimensional operational data, associate and label the multi-dimensional operational data, and identify the current operating condition level of the FSRU based on the labeling results; The intelligent decision allocation module is configured to determine a heat allocation scheme that includes the target heat source and flow path configuration based on the cross-domain priority matrix corresponding to the operating condition level when the operating condition level indicates that heat source switching is required. The pre-action execution control module is configured to initiate a pre-action execution process for the target heat source and flow path configuration in order to establish switching conditions; The heat source switching execution module is configured to execute heat source switching commands and drive the actuator to take over the heat load according to the heat distribution scheme. Specifically, the pre-action execution control module is configured to: send a pre-drive signal to the flow regulating valve group and fluid drive pump group associated with the target heat source before formally executing the heat source switching command; in response to the pre-drive signal, drive the flow regulating valve group to open to a first preset opening degree and drive the fluid drive pump group to start to a first preset speed to establish a pre-flow path circulation; monitor the fluid state of the pre-flow path circulation, and determine that the pre-action execution process is completed when the fluid state meets the preset switching conditions.

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