Control method and device for safe transportation of reactor vibration reduction and isolation device

Abstract

The invention provides a control method and system for safe transportation of an electric reactor vibration reduction and isolation device. The method comprises the steps that sensor information, operation parameters and environment parameters of the electric reactor vibration reduction and isolation device in the transportation process are obtained in real time; whether an emergency occurs or is about to occur is judged at least based on the sensor information, and when it is judged that the emergency occurs or is about to occur, a disengaging mechanism is triggered to enable the reactor vibration reduction and isolation device to be disengaged from a carrying tool; and based on the sensor information, the operation parameters and the environment parameters after the reactor vibration reduction and isolation device is released, the trigger threshold and the response time of the release mechanism are adjusted. According to the method, the safety of the reactor vibration reduction and isolation device in the transportation process is improved through the automatic judgment and rapid release mechanism of the emergency situation, the probability of false triggering events is reduced by adjusting the trigger threshold value and the response time of the release mechanism, stability is kept in the normal transportation process, accidental triggering is avoided, and the safety of the reactor vibration reduction and isolation device is improved. And the transportation safety performance is ensured.

Description

Technical Field

[0001] The present disclosure relates to the technical field of reactor vibration reduction and isolation systems, and in particular to a control method and device for safe transportation of reactor vibration reduction and isolation devices. Background Art

[0002] Reactor vibration isolation devices are usually installed on carriers through automated equipment for transportation. Accidents or emergencies may occur during transportation, such as collisions and overturning. In these cases, the reactor vibration isolation device must be able to quickly detach from the carrier to avoid further damage. However, if it is frequently detached in non-emergency situations, it will also affect transportation efficiency and device performance. Therefore, how to quickly and reliably detach in an emergency while maintaining stability in normal situations has become a key issue that needs to be solved. Summary of the invention

[0003] The present disclosure aims to at least solve the technical problem existing in the prior art of how to quickly and reliably escape in an emergency situation while maintaining stability in a normal situation.

[0004] To this end, one object of the present disclosure is to provide a control method for safe transportation of a reactor vibration reduction and isolation device, the control method for safe transportation of a reactor vibration reduction and isolation device comprising:

[0005] Real-time acquisition of sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device during transportation;

[0006] At least based on the sensor information, it is judged whether an emergency situation has occurred or is about to occur, and when it is judged that an emergency situation has occurred or is about to occur, a disengagement mechanism is triggered to make the reactor vibration reduction and isolation device disengage from the carrier;

[0007] Based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is released, the triggering threshold and response time of the release mechanism are adjusted.

[0008] In some embodiments, determining whether an emergency situation has occurred or is about to occur based at least on the sensor information includes: comparing the sensor information with a safety threshold to determine whether an emergency situation has occurred.

[0009] In some embodiments, the safety threshold is determined by:

[0010] The safety threshold is determined based on the structural characteristics and material properties of the reactor vibration reduction and isolation device.

[0011] In some embodiments, the determining whether an emergency situation has occurred or is about to occur based at least on the sensor information further includes:

[0012] Determining characteristic factors for characterizing an emergency situation based on the sensor information, the operating parameters, and the environmental parameters;

[0013] Based on the characteristic factors, determining the probability of an impending emergency;

[0014] When the probability exceeds a preset probability threshold, it is determined that an emergency situation is about to occur.

[0015] In some embodiments, when it is determined that an emergency situation has occurred or is about to occur, after the escape mechanism is triggered so that the reactor vibration reduction and isolation device escapes from the carrier, the method further includes:

[0016] Acquire sensor information after the reactor vibration reduction and isolation device is removed, and compare the sensor information after the removal with the sensor information before the removal;

[0017] Based on the comparison result, it is determined whether the reactor vibration reduction and isolation device is damaged and a corresponding maintenance method is generated.

[0018] In some embodiments, adjusting the trigger threshold and response time of the escape mechanism based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device escapes includes:

[0019] Determine key parameters for the occurrence of the outage event based on sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is out of service;

[0020] Determining the correlation between the trigger threshold and response time of the dislodgment mechanism and the dislodgment frequency based on the key parameters;

[0021] The triggering threshold of the escape mechanism is adjusted based on the correlation to reduce the probability of a false triggering event.

[0022] In some embodiments, the sensor information includes at least one of vibration acceleration and shock acceleration.

[0023] One object of the present disclosure is to provide a control device for safe transportation of a reactor vibration reduction and isolation device, comprising:

[0024] An acquisition module is used to obtain sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device in real time during transportation;

[0025] An escape module, used to determine whether an emergency situation has occurred or is about to occur based on at least the sensor information, and when it is determined that an emergency situation has occurred or is about to occur, trigger an escape mechanism to cause the reactor vibration reduction and isolation device to escape from the carrier;

[0026] The adjustment module is used to adjust the trigger threshold and response time of the escape mechanism based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device escapes.

[0027] One objective of the present disclosure is to provide a storage medium storing a computer program, wherein the computer program implements the steps of the above control method when executed by a processor.

[0028] An object of the present disclosure is to provide an electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the above control method when executing the computer program in the memory.

[0029] The control method and control device for safe transportation of a reactor vibration reduction and isolation device provided by the embodiments of the present disclosure have the following beneficial effects:

[0030] The control method for safe transportation of the reactor vibration reduction and isolation device has an automatic judgment and rapid escape mechanism in emergency situations, improves the safety of the reactor vibration reduction and isolation device during transportation, reduces the risk of damage caused by unexpected impact or vibration, reduces unnecessary maintenance costs and time, and thus optimizes the overall transportation efficiency and device performance;

[0031] The control method for safe transportation of the reactor vibration reduction and isolation device adjusts the trigger threshold of the escape mechanism to reduce the probability of false triggering events, maintains stability during normal transportation, and will not be accidentally triggered due to vibration or other factors, thereby ensuring the safety performance of transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0033] Figure 1 is a flow chart of a control method for safe transportation of a reactor vibration reduction and isolation device in an embodiment of the present disclosure;

[0034] Figure 2 is a flow chart of a control method for safe transportation of a reactor vibration reduction and isolation device in an embodiment of the present disclosure;

[0035] Figure 3 It is a flow chart of a control method for safe transportation of a reactor vibration reduction and isolation device in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0036] Various aspects and features of the present disclosure are described herein with reference to the drawings.

[0037] It should be understood that various modifications may be made to the embodiments of the present application. Therefore, the above description should not be considered as limiting, but only as an example of an embodiment. Other modifications within the scope and spirit of the present disclosure will occur to those skilled in the art.

[0038] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the general description of the present disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the present disclosure.

[0039] These and other characteristics of the present disclosure will become apparent from the following description of a preferred form of embodiment given as a non-limiting example, with reference to the attached drawings.

[0040] It should also be understood that, although the present disclosure has been described with reference to some specific examples, those skilled in the art will be able to realize many other equivalent forms of the present disclosure that have the features of the claims and are therefore within the scope of protection defined thereby.

[0041] The above and other aspects, features and advantages of the present disclosure will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0042] Specific embodiments of the present disclosure are described hereinafter with reference to the accompanying drawings; however, it should be understood that the embodiments claimed are merely examples of the present disclosure, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid obscuring the present disclosure with unnecessary or redundant details. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present disclosure in a variety of ways with substantially any suitable detailed structure.

[0043] The first embodiment of the present disclosure provides a control method for safe transportation of a reactor vibration reduction and isolation device, such as Figure 1-Figure 3 As shown, the control method for safe transportation of the reactor vibration reduction and isolation device includes:

[0044] S1: Real-time acquisition of sensor information, operating parameters, and environmental parameters of the reactor vibration reduction and isolation device during transportation.

[0045] Specifically, by installing multiple sensors on the reactor vibration reduction and isolation device, sensor information during the transportation of the reactor vibration reduction and isolation device is collected in real time. The sensor information includes vibration signals and impact signals, wherein the amplitude of the vibration signal refers to the vibration acceleration, and the amplitude of the impact signal refers to the impact acceleration. After obtaining the above sensor information, the sensor information is transmitted to the central processing unit, and the sensor information is preprocessed (denoising and filtering). The preprocessing can improve the data quality and lay the foundation for subsequent analysis. The sensors set on the reactor vibration reduction and isolation device collect vibration signals and impact signals respectively. Compared with only collecting vibration signals or only collecting impact signals, in the subsequent steps, when judging emergency situations, the judgment results are more accurate.

[0046] Operating parameters refer to various data generated by the device during normal operation, which reflect the working status, performance and possible abnormal conditions of the device. Operating parameters may include but are not limited to voltage, current, temperature, pressure, speed, vibration frequency, load conditions, and power output.

[0047] Environmental parameters refer to changes in the external environment of the device, which may affect the operating status and performance of the device. Environmental factors may include but are not limited to temperature, humidity, dust, oil, electromagnetic interference, vibration, load changes, and power grid fluctuations.

[0048] Exemplarily, six triaxial acceleration sensors are installed on the reactor vibration reduction and isolation device to collect vibration signals and impact signals. The sampling frequency is set to 1000Hz, and the data is transmitted to the central processing unit through the RS-485 bus. The central processing unit pre-processes the collected sensor information, using a 5th-order Butterworth low-pass filter with a cutoff frequency set to 500Hz to remove high-frequency noise. At the same time, wavelet transform is used to denoise the data, and the Daubechies4 wavelet basis function is selected with a decomposition layer of 5, which effectively eliminates the pulse interference in the signal.

[0049] S2: At least based on the sensor information, determine whether an emergency situation has occurred or is about to occur. When it is determined that an emergency situation has occurred or is about to occur, trigger the escape mechanism to cause the reactor vibration isolation device to escape from the carrier.

[0050] At least based on the sensor information, determining whether an emergency situation has occurred or is about to occur includes: comparing the sensor information with a safety threshold to determine whether an emergency situation has occurred.

[0051] The safety threshold is determined by:

[0052] The safety threshold is determined based on the structural characteristics and material properties of the reactor vibration reduction and isolation device.

[0053] Specifically, based on the structural characteristics and material properties of the reactor vibration isolation device, finite element analysis and modal analysis methods are used, combined with experimental data and theoretical calculations, to establish a threshold model for vibration and impact signals, and determine the threshold boundaries under normal working range and abnormal conditions. When determining the safety threshold, the material properties, structural characteristics, working environment and other factors of the device are comprehensively considered, and relevant industry standards and expert experience are referred to, which is conducive to improving the accuracy of the safety threshold and reducing the probability of false triggering events.

[0054] The safety threshold includes the vibration threshold and the shock threshold. The vibration threshold is the boundary value of the vibration acceleration in the normal working range of vibration and the vibration abnormal condition, and the shock threshold is the boundary value of the shock acceleration in the normal working range of shock and the shock abnormal condition.

[0055] In the real-time monitoring process, the threshold model and machine learning algorithm are continuously optimized, and the model parameters are continuously updated and optimized through the adaptive learning mechanism. Based on the newly collected sensor information, the threshold model and machine learning algorithm are adjusted in real time using methods such as online learning or incremental learning, so that they can adapt to the changes in the transportation process of the reactor vibration reduction and isolation device, and improve the accuracy and reliability of anomaly detection.

[0056] In the application of support vector machine algorithm, by selecting the appropriate algorithm type and adjusting the algorithm parameters, such as the kernel function type of the support vector machine, the number of layers and nodes of the neural network, the algorithm performance is optimized to improve the accuracy and reliability of anomaly detection. If an abnormal vibration or impact event is detected, the system automatically generates an alarm message and transmits the alarm to the monitoring center and relevant personnel through the wireless communication module, so that timely countermeasures can be taken. The monitoring data and analysis results are stored in the cloud database, using a relational database or a non-relational database for storage. In the database design, the data table structure is reasonably designed, indexes are established, and query performance is optimized. At the same time, a data backup and recovery mechanism is established, and data is backed up regularly to ensure data security and recoverability. By mining and analyzing the stored monitoring data, abnormal patterns and potential risks in the transportation process of the reactor vibration reduction and isolation device can be discovered, providing data support for equipment maintenance and fault diagnosis.

[0057] During real-time monitoring, the vibration threshold, impact threshold and support vector machine algorithm are continuously optimized to improve the accuracy and reliability of anomaly detection through an adaptive learning mechanism; the monitoring data and analysis results are stored in the cloud database.

[0058] For example, according to the finite element model of the reactor vibration reduction and isolation device, the first 10 natural frequencies and vibration modes are obtained through modal analysis, and the threshold model of vibration signal and impact signal is established in combination with experimental data. When working, the vibration threshold is set to 2g and the impact threshold is set to 5g. The support vector machine algorithm is used to analyze the processed sensor data in real time, and the radial basis kernel function is selected. The penalty factor C = 10, the kernel function parameter γ = 0.1, the number of training samples is 1000, and the number of test samples is 500. The accuracy of abnormal detection reaches more than 95%. When an abnormal vibration or impact event is detected, the system sends an alarm message through the wireless communication module. The alarm information includes the time of event occurrence, sensor location, maximum vibration acceleration and maximum impact acceleration recorded during the entire monitoring period, etc. The monitoring center personnel can quickly locate the problem and take countermeasures based on the alarm information. During the monitoring process, the threshold model and the support vector machine model are incrementally learned using 100 newly collected samples every hour to continuously optimize the model parameters. Monitoring data and analysis results are stored in a MySQL relational database. The data table is designed in a star schema, with time and sensor location as the primary key, and a composite index is established to improve query efficiency. At the same time, data backup is performed at 2 a.m. every day, and the backup file retains the data of the most recent month to ensure data security and recoverability.

[0059] Compare sensor information to safety thresholds to determine if an emergency has occurred, including:

[0060] The preprocessed sensor information is compared with the safety threshold to determine whether an emergency situation occurs. When the sensor information exceeds the safety threshold, it is determined to be an emergency situation. When the sensor information does not exceed the safety threshold, it is determined to be a normal situation.

[0061] Specifically, after the safety threshold is determined, the sensor information is compared with the safety threshold to determine whether an emergency situation has occurred.

[0062] Specifically, the support vector machine algorithm is used to perform real-time analysis on the preprocessed sensor data, and by comparing with the vibration threshold and the shock threshold, it is determined whether the current vibration level and the shock level exceed the normal working range of vibration and the normal working range of shock.

[0063] If the current sensor information reflects that the vibration level is within the normal operating range of vibration, and the shock level is within the normal operating range of shock, it is determined that the current transportation condition is normal.

[0064] If the current sensor information reflects that the vibration level exceeds the normal working range of vibration and the impact level exceeds the normal working range of impact, that is, the analysis results show that the current maximum vibration acceleration exceeds the vibration threshold and the maximum impact acceleration exceeds the impact threshold, the central control unit determines that an emergency situation has occurred. Among them, when determining whether an emergency situation has occurred, if the vibration acceleration peak exceeds the vibration threshold, it is determined that an emergency situation has occurred, or if the impact acceleration peak exceeds the impact threshold, it is determined that an emergency situation has occurred. It is also possible that the vibration acceleration peak exceeds the vibration threshold and the impact acceleration peak exceeds the impact threshold at the same time, and it is determined that an emergency situation has occurred. This method compares the sensor information with the safety threshold to determine whether an emergency situation has occurred. If an emergency situation has occurred, the device is separated from the carrier, thereby improving the safety of the device during transportation.

[0065] By judging the relationship between the preprocessed sensor information and the safety threshold, it is determined whether the current transportation status is normal, and when judging, the judgment requirements for emergency situations can be designed as needed. By selecting the appropriate algorithm type and adjusting the algorithm parameters, such as the kernel function type of the support vector machine, the number of layers and nodes of the neural network, the algorithm performance is optimized to improve the accuracy and reliability of anomaly detection. Among them, the support vector machine algorithm can find the optimal decision boundary in the high-dimensional feature space and accurately judge abnormal situations by selecting the appropriate kernel function and adjusting parameters such as the penalty factor.

[0066] High-dimensional feature space refers to mapping the original low-dimensional input data to a higher-dimensional space by using specific mathematical transformations (usually kernel function techniques). The purpose of this transformation is to make the data that was originally linearly inseparable in the low-dimensional space linearly separable in the high-dimensional space, thereby simplifying the solution process of classification or regression problems. In short, the high-dimensional feature space is an abstract conceptual space that allows data to be more easily distinguished by the classifier in a new coordinate system. It is in this high-dimensional space that the support vector machine finds an optimal decision boundary that can best separate different categories of data, even if these categories may overlap or be difficult to distinguish in the original data space.

[0067] At least based on the sensor information, determining whether an emergency situation has occurred or is about to occur, further comprising:

[0068] S201: Determine characteristic factors for characterizing an emergency situation based on sensor information, operating parameters, and environmental parameters;

[0069] The massive amount of historical data collected is preprocessed to improve data quality and consistency through data cleaning, denoising, normalization and other operations, and the data is labeled according to the time point of emergency to form a time series sample set with emergency labels. Using signal processing techniques such as time-frequency analysis and wavelet transform, characteristic factors that characterize emergency situations, such as vibration spectrum entropy, impact response spectrum, temperature rise rate, etc., are extracted from the time series sample data to construct emergency feature vectors.

[0070] S202: Determine the probability of an impending emergency based on characteristic factors;

[0071] The emergency situation feature vector obtained in step S201 is trained in a support vector machine to construct an emergency situation prediction model, thereby determining the probability of the emergency situation.

[0072] In step S201, sensor information, operating parameters, environmental parameters and feedback information of actual emergency situations during the operation of the device are continuously collected, the emergency prediction model is regularly retrained and optimized, the accuracy and reliability of emergency prediction are continuously improved, and the optimized model parameters are dynamically updated to the real-time monitoring system to achieve adaptive updating and continuous learning of the model.

[0073] S203: When the probability exceeds a preset probability threshold, it is determined that an emergency situation is about to occur.

[0074] By judging the probability of an emergency occurring, it is determined whether to trigger the escape mechanism, and the emergency prediction model is incrementally trained and parameter tuned to continuously improve the accuracy and real-time performance of emergency predictions.

[0075] Exemplarily, the preset probability threshold is selected as 0.95, that is, when the predicted probability of an emergency situation exceeds 0.95, an alarm is triggered and an automatic escape mechanism is started, while the escape time and sensor information at the time of escape are recorded.

[0076] There are two prerequisites for triggering the escape mechanism. One is that the sensor information reaches a safety threshold, and the other is to judge that an emergency is about to occur based on the sensor information. Executing the escape mechanism in two ways is conducive to ensuring the transportation safety performance of the reactor vibration isolation device.

[0077] Specifically, if an abnormal vibration event or an abnormal impact event is detected, that is, an emergency situation determined by the central processing unit occurs, the central processing unit triggers the rapid disengagement mechanism of the reactor vibration reduction and isolation device; since the reactor vibration reduction and isolation device is connected to the carrier through an electromagnet or a starting device, the rapid disengagement mechanism can quickly separate the reactor vibration reduction and isolation device from the carrier by controlling the electromagnet or pneumatic device on the reactor vibration reduction and isolation device. After the reactor vibration reduction and isolation device is detached, its built-in hydraulic buffer will attenuate the impact force to ensure the safe landing of the reactor vibration reduction and isolation device.

[0078] After the reactor vibration reduction and isolation device is separated from the carrier, the buffer device will play a role, and reduce the impact force of the device through springs or hydraulic buffers to avoid secondary damage to the device. For example, after the device is separated, the built-in hydraulic buffer will attenuate the impact force to less than 500N within 10ms to ensure the safe landing of the device.

[0079] When abnormal vibration or impact events are detected, the system sends an alarm message through the wireless communication module. The alarm information includes the time of event occurrence, sensor location, vibration acceleration peak value or impact acceleration peak value, etc. The monitoring center personnel can quickly locate the problem and take countermeasures based on the alarm information.

[0080] While sounding the alarm, the system intelligently generates maintenance decision plans for the device, such as emergency shutdown, component replacement, parameter adjustment, etc., based on the type and severity of the abnormal situation, combined with the damage level and component importance, and gives priority rankings to guide maintenance personnel to quickly and efficiently eliminate hidden dangers of device failures and minimize the impact of damage on device operation.

[0081] In S2, when it is determined that an emergency situation has occurred or is about to occur, after the escape mechanism is triggered so that the reactor vibration reduction and isolation device escapes from the carrier, the method further includes:

[0082] S204: acquiring sensor information after the reactor vibration reduction and isolation device is removed, and comparing the sensor information after the removal with the sensor information before the removal;

[0083] Specifically, after the reactor vibration reduction and isolation device is detached from the carrier, the vibration signal and impact signal of the reactor vibration reduction and isolation device are collected again through multiple sensors installed on the reactor vibration reduction and isolation device, and the above-mentioned re-collected sensor information is transmitted to the central processing unit in real time. The re-collected sensor information includes the vibration signal and impact signal after the detachment. The central processing unit pre-processes the received re-collected sensor information to obtain high-quality and reliable re-collected sensor information after denoising, filtering, and data synchronization; according to the changes in the vibration signal and impact signal before and after the reactor vibration reduction and isolation device is detached, it is judged whether the reactor vibration reduction and isolation device is damaged. If the mean, variance or peak value data of the vibration signal and impact signal of the reactor vibration reduction and isolation device undergo abnormal changes after the detachment (such as the vibration acceleration peak value and the impact acceleration peak value exceed the safety threshold), it can be considered that the reactor vibration reduction and isolation device has been subjected to greater vibration and impact during the detachment process. By obtaining sensor information collected by the sensor installed on the device again after the escape, and comparing it with the sensor information before the escape, it is determined whether the device is damaged, providing a more convenient implementation method for the status of the device after the escape.

[0084] S205: Determine whether the reactor vibration reduction and isolation device is damaged based on the comparison result and generate a corresponding maintenance method.

[0085] If the reactor vibration reduction and isolation device is not damaged, reinstall the reactor vibration reduction and isolation device to the carrier and continue the transportation process;

[0086] If the reactor vibration reduction and isolation device is damaged, analyze the cause and record it in the cloud database.

[0087] Specifically, if the reactor vibration reduction and isolation device is not damaged, the maintenance decision is to reinstall it. The central control unit generates a reinstallation instruction, and then uses automated equipment to dock and fix the device to the carrier, reconnect the power and communication cables, and obtain the installation status detection results of the device to ensure that the device is put back into use. Furthermore, the data required for the reinstallation of the reactor vibration reduction and isolation device, including docking position, fixing torque, and key parameters of connection status, is obtained and uploaded to the cloud database.

[0088] If the reactor vibration reduction and isolation device is damaged, the maintenance decision plan is to mark it as a fault state, generate a maintenance task order, generate a maintenance plan based on the sensor information, operating parameters and environmental parameters collected again, and record the maintenance data. Among them, the operating parameters refer to the various data generated during the normal operation of the reactor vibration reduction and isolation device. These data reflect the working status, performance and possible abnormal conditions of the device. The operating parameters may include but are not limited to voltage, current, temperature, pressure, speed, vibration frequency, load conditions and output power. Environmental parameters refer to the changes in the external environment of the device. These changes may affect the operating status and performance of the device. Environmental factors may include but are not limited to temperature, humidity, dust, oil, electromagnetic interference, vibration, load changes and power grid fluctuations. Maintenance data includes but is not limited to fault phenomena and maintenance methods. Fault phenomena refer to the specific abnormal conditions exhibited by the equipment or device when a fault occurs. This includes but is not limited to abnormal sounds, vibrations, abnormal temperature increases, performance degradation, abnormal outputs, system alarm prompts and other phenomena. Maintenance methods refer to the specific repair measures or processes taken for the identified fault phenomena. This includes but is not limited to the repair technology used, the parts replaced, the parameter settings adjusted, the test procedures implemented, etc.

[0089] After the device is removed, it is determined whether it is damaged and a corresponding maintenance method is generated, thereby improving the transportation efficiency and safety performance of the device during transportation.

[0090] For example, by collecting and analyzing the vibration and impact data of the reactor vibration reduction and isolation device after it is removed, using machine learning algorithms and statistical models such as support vector machines and random forests, it is determined whether the reactor vibration reduction and isolation device is damaged, and different maintenance decision plans are generated according to whether it is damaged. If the device is not damaged, the central control unit generates a device reinstallation instruction, and uses automated equipment such as a robotic arm or a hydraulic device to accurately dock and fix the device on the carrier, reconnect the power supply and communication cables, and perform installation status detection to ensure that the device is stably and reliably put back into use. After the device is reinstalled and tested, it can be put into normal transportation and use, while continuously recording and analyzing its operating parameters and status data to evaluate the health of the device. For example, the suction force of the electromagnet can reach 500N, and the action time of the pneumatic device can be controlled within 0.5s, ensuring the fast and reliable disengagement process.

[0091] If the device is confirmed to be damaged, the central control unit will immediately mark the state as a fault state and automatically generate a maintenance task order, and then quickly send the device to a professional maintenance center through the logistics management system. Before the device is sent for maintenance, the collected historical operation data is first analyzed, and the cause of the fault is preliminarily determined using technologies such as association rule mining and time series pattern recognition, providing direction for subsequent detailed diagnosis. During the maintenance process, the fault diagnosis system is used to comprehensively analyze the multi-source heterogeneous data such as the device's vibration and impact data, operating parameters, and environmental factors. Through knowledge reasoning and deep learning algorithms, such as convolutional neural networks, feature extraction and fault pattern recognition of vibration signals, and LSTM networks for modeling and prediction of time series data, the cause of the fault is accurately located, and targeted maintenance plans are given to guide maintenance personnel to work efficiently. At the same time, key maintenance data, such as fault phenomena and maintenance methods, are recorded and collected, and fed back to the design and manufacturing departments to optimize the structural design and production process of the device and improve its reliability and stability. After the device maintenance is completed, augmented reality technology is used to superimpose virtual information such as vibration spectrum diagrams and temperature distribution diagrams on the actual device to achieve visual display and real-time monitoring of performance parameters. Through human-computer interaction, it guides inspection personnel to conduct comprehensive testing and evaluation to ensure that all indicators of the device meet factory standards, and generate inspection reports and upload them to the full life cycle management system.

[0092] Finally, based on the big data analysis platform, the operating parameters, environmental parameters, maintenance data, performance test data, etc. of the device are comprehensively mined and modeled, and a device health status assessment model and a remaining service life prediction model are established. According to the assessment and prediction results of the model, the maintenance strategy and management plan are dynamically optimized. For example, when the device health status index is lower than the preset threshold, maintenance alarms and work orders are automatically generated, and the priority and execution time of maintenance tasks are optimized according to the fault risk level and maintenance cost. According to the prediction results of the remaining service life of the device, spare parts replacement plans and resource scheduling plans are formulated in advance to maximize the availability and safety of the device and reduce transportation and maintenance costs.

[0093] S3: Based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is disengaged, the trigger threshold and response time of the disengagement mechanism are adjusted.

[0094] Specifically, it includes S301: determining key parameters of the reactor vibration isolation device after the reactor vibration isolation device is disengaged based on sensor information, operating parameters and environmental parameters.

[0095] Specifically, during the transportation of the reactor vibration reduction and isolation device, steps S1 and S2 are continuously repeated to continuously record the sensor data, operating parameters and environmental parameters of the device escape event, and the above data are uploaded to the cloud database for storage and management. According to the sensor data, operating parameters and environmental parameters of the device escape event, the escape frequency, vibration acceleration and impact acceleration during the escape are obtained through data cleaning, integration and conversion, and a multidimensional data set of the escape event is constructed. The multi-factor variance analysis method is used to obtain the relationship between the escape frequency and the operating parameters and environmental parameters (such as vibration level, impact intensity, transportation road conditions, ambient temperature and other factors), and the factors that have the greatest impact on the escape event, such as vibration level and impact intensity, are determined.

[0096] S302: Determine the correlation between the triggering threshold and response time of the disengagement mechanism and the disengagement frequency based on the key parameter elements;

[0097] Specifically, according to the results of the multi-factor variance analysis method, a model of the device escape event is established to quantitatively describe the functional relationship between each influencing factor and the escape frequency. Using the local sensitivity analysis method, the sensitivity coefficient of the model output to each input parameter is calculated through partial derivatives or finite difference techniques, and according to the size of the sensitivity coefficient, the size of the sensitivity coefficient reflects the importance of key sensitivity parameters such as the trigger threshold and response time of the escape mechanism. The larger the sensitivity coefficient, the higher the correlation between the trigger threshold and response time of the escape mechanism and the escape frequency.

[0098] S303: Adjusting the trigger threshold of the escape mechanism based on the correlation to reduce the probability of a false triggering event.

[0099] After completing step S302, a parameter optimization model is constructed, and the weighted sum of the minimized escape frequency and false trigger rate is used as the objective function for multi-objective optimization. The constraints include the upper limit of the safety threshold, the lower limit of the safety threshold, the maximum allowable value of the response time, etc. The optimization model is solved by using heuristic algorithms such as genetic algorithms and particle swarm optimization algorithms to obtain the optimal sensitivity parameter combination that meets the multi-objective requirements, while ensuring the safe and reliable escape of the device, and minimizing the probability of false triggering events. The sensitivity parameters of the optimized escape mechanism are sent to the control unit of the device to complete the adjustment of the sensitivity parameters.

[0100] Among them, the disengagement frequency refers to the number of times or frequency that the reactor vibration reduction and isolation device accidentally disengages during transportation. This indicator directly reflects the stability and reliability of the device during transportation. Too high a disengagement frequency will not only affect the transportation efficiency, but may also cause damage to the device itself. The false trigger rate refers to the probability that the device accidentally disengages due to misjudgment or misoperation when the disengagement should not occur. False triggering may cause unnecessary downtime, increased maintenance costs, and even affect the continuity and safety of transportation. The response time refers to the time required to trigger the disengagement mechanism and complete the protection action (start the buffer device) after the sensor information reaches the safety threshold. Shortening the response time can improve the protection efficiency of the device.

[0101] By setting quantitative evaluation indicators such as the escape success rate, false trigger rate, and escape response time, the changes in indicators before and after optimization are compared, the effectiveness and benefits of the optimization measures are evaluated, and a cost-benefit analysis is conducted to weigh the balance between optimization input and benefits. At the same time, through long-term operation monitoring and data analysis, the implementation and long-term stability of the optimization measures are continuously tracked, and dynamic adjustments and improvements are made as needed. Based on the big data analysis platform for device escape events, statistical reports on device escape behaviors are regularly generated, including the frequency trend of escapes, changes in key influencing factors, and the implementation effects of optimization measures, etc., to provide decision support for the transportation management department, and continuously optimize the device escape mechanism to improve transportation efficiency and device performance.

[0102] For example, during the transportation of the reactor vibration reduction and isolation device, the data of the disengagement event was collected every 5 minutes, including the disengagement time, GPS location, three-axis acceleration, impact force, etc. A four-factor variance analysis was used to find that the vibration level and impact intensity were the main effects affecting the disengagement frequency, and the P value of the interaction effect vibration × impact was 0.012, and the goodness of fit R 2 =0.95.

[0103] A nonlinear regression model of the breakout frequency was established, and the quadratic and cross terms were considered. The gradient descent method was used to estimate 10 model parameters, and the mean square error MSE was 0.1. The sensitivity analysis of the model was performed, and the first-order partial derivatives were calculated. The sensitivity coefficients of the vibration threshold, impact threshold, and response time were 0.6, 0.3, and 0.2, respectively.

[0104] A multi-objective genetic algorithm optimization model was constructed, with the objective function of 0.8×escape frequency+0.2×false trigger rate, the variable value range of trigger threshold ±20%, the maximum response time of 2s, 500 iterations, crossover probability of 0.6, and mutation probability of 0.1, and the Pareto optimal solution set was obtained. The parameter combination with a 40% reduction in the escape frequency and a 60% reduction in the false trigger rate was selected and sent to the device controller.

[0105] After three months of operation tests, the average escape response time was shortened to 1.5s, the reliable escape rate was increased to 99.5%, the false trigger rate was reduced to less than once a month, the transportation efficiency was improved by 20%, and the comprehensive cost-effectiveness ratio reached 1:8. Regularly generate quarterly analysis reports on escape events, timely warn of abnormal trends, continuously optimize the escape mechanism, and realize the health management of the whole life cycle of the device.

[0106] Based on the same inventive concept as the first embodiment described above, the second embodiment of the present disclosure provides a safe transportation device for a reactor vibration reduction and isolation device, comprising:

[0107] An acquisition module is used to obtain sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device in real time during transportation;

[0108] An escape module, used to determine whether an emergency situation has occurred or is about to occur based on at least the sensor information, and when it is determined that an emergency situation has occurred or is about to occur, trigger an escape mechanism to cause the reactor vibration reduction and isolation device to escape from the carrier;

[0109] The adjustment module is used to adjust the trigger threshold and response time of the escape mechanism based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device escapes.

[0110] Further, the escape module includes a safety threshold comparison module for comparing the sensor information with the safety threshold to determine whether an emergency situation has occurred.

[0111] The escape module comprises a safety threshold determination module, which is used to determine the safety threshold based on the structural characteristics and material properties of the reactor vibration reduction and isolation device.

[0112] Furthermore, the escape module includes an emergency situation prediction module for determining whether an emergency situation has occurred or is about to occur based on the sensor information.

[0113] Furthermore, the emergency prediction module includes:

[0114] A characteristic factor determination module, used to determine characteristic factors for characterizing an emergency situation based on sensor information, operating parameters, and environmental parameters;

[0115] A probability determination module, used to determine the probability of an impending emergency based on characteristic factors;

[0116] The emergency situation determination module is used to compare the probability with a preset probability threshold, and when the probability exceeds the preset probability threshold, determine that an emergency situation is about to occur.

[0117] Further, the escape module comprises:

[0118] A comparison module, for comparing the sensor information after the escape with the sensor information before the escape;

[0119] The judgment module is used to judge whether the reactor vibration reduction and isolation device is damaged based on the comparison result and generate a corresponding maintenance method.

[0120] Furthermore, the adjustment module includes:

[0121] A key parameter determination module, used to determine the key parameters of the outage event based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is out of service;

[0122] A correlation determination module, for determining the correlation between the trigger threshold and response time of the disengagement mechanism and the disengagement frequency based on the key parameter element;

[0123] The trigger threshold adjustment module is used to adjust the trigger threshold of the escape mechanism based on the correlation to reduce the probability of false triggering events.

[0124] The present invention has the functions of monitoring vibration and impact signals, automatic judgment of emergency situations and rapid escape mechanism, damage assessment, optimization of the trigger threshold of the escape mechanism, and establishment and application of an emergency prediction model. The safety of the reactor vibration reduction and isolation device during transportation is improved, the risk of damage caused by unexpected impact or vibration is reduced, and unnecessary maintenance costs and time are reduced. At the same time, through intelligent data analysis and emergency prediction models, the early warning capability and response speed to potential risks are improved, thereby optimizing the overall transportation efficiency and device performance.

[0125] Based on the same inventive concept as the first embodiment, the third embodiment of the present disclosure provides a storage medium storing a computer program. When the computer program is executed by a processor, the steps of implementing the control method are specifically including:

[0126] S11: Real-time acquisition of sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device during transportation;

[0127] S12: determining whether an emergency situation has occurred or is about to occur based at least on the sensor information, and when it is determined that an emergency situation has occurred or is about to occur, triggering a disengagement mechanism to cause the reactor vibration reduction and isolation device to disengage from the carrier;

[0128] S13: Based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is disengaged, the trigger threshold and response time of the disengagement mechanism are adjusted.

[0129] Of course, other steps of the control method can also be used to implement the above embodiment.

[0130] The present invention has the functions of monitoring vibration and impact signals, automatic judgment of emergency situations and rapid escape mechanism, damage assessment, optimization of the trigger threshold of the escape mechanism, and establishment and application of an emergency prediction model. The safety of the reactor vibration reduction and isolation device during transportation is improved, the risk of damage caused by unexpected impact or vibration is reduced, and unnecessary maintenance costs and time are reduced. At the same time, through intelligent data analysis and emergency prediction models, the early warning capability and response speed to potential risks are improved, thereby optimizing the overall transportation efficiency and device performance.

[0131] Based on the same inventive concept as the first embodiment, the fourth embodiment of the present disclosure provides an electronic device, which includes at least a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the control method when executing the computer program in the memory, specifically including:

[0132] S21: Real-time acquisition of sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device during transportation;

[0133] S22: determining whether an emergency situation has occurred or is about to occur based at least on the sensor information, and when it is determined that an emergency situation has occurred or is about to occur, triggering a disengagement mechanism to cause the reactor vibration reduction and isolation device to disengage from the carrier;

[0134] S23: Based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is disengaged, the trigger threshold and response time of the disengagement mechanism are adjusted.

[0135] Of course, other steps of the control method can also be used to implement the above embodiment.

[0136] The present invention has the functions of monitoring vibration and impact signals, automatic judgment of emergency situations and rapid escape mechanism, damage assessment, optimization of the trigger threshold of the escape mechanism, and establishment and application of an emergency prediction model. The safety of the reactor vibration reduction and isolation device during transportation is improved, the risk of damage caused by unexpected impact or vibration is reduced, and unnecessary maintenance costs and time are reduced. At the same time, through intelligent data analysis and emergency prediction models, the early warning capability and response speed to potential risks are improved, thereby optimizing the overall transportation efficiency and device performance.

[0137] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0138] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0139] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0140] In the embodiments provided in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0141] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0142] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0143] If the integrated module is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned motor torque control method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0144] In addition, the features of the embodiments shown in the drawings of the present application or the various embodiments mentioned in this specification are not necessarily understood as independent embodiments. Instead, each feature described in one example of an embodiment can be combined with one or more other desired features from other embodiments to produce other embodiments not described in words or with reference to the drawings.

[0145] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A control method for safe transportation of a reactor vibration reduction and isolation device, characterized in that: include: Real-time acquisition of sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device during transportation; At least based on the sensor information, it is judged whether an emergency situation has occurred or is about to occur, and when it is judged that an emergency situation has occurred or is about to occur, a disengagement mechanism is triggered to make the reactor vibration reduction and isolation device disengage from the carrier; Based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is released, the triggering threshold and response time of the release mechanism are adjusted.

2. The control method for safe transportation of reactor vibration reduction and isolation device according to claim 1 is characterized in that: The determining whether an emergency situation has occurred or is about to occur based at least on the sensor information includes: comparing the sensor information with a safety threshold to determine whether an emergency situation has occurred.

3. The control method for safe transportation of reactor vibration reduction and isolation device according to claim 2, characterized in that: The safety threshold is determined by: The safety threshold is determined based on the structural characteristics and material properties of the reactor vibration reduction and isolation device.

4. The control method for safe transportation of reactor vibration reduction and isolation device according to claim 1, characterized in that: The step of determining whether an emergency situation has occurred or is about to occur based at least on the sensor information further includes: Determining characteristic factors for characterizing an emergency situation based on the sensor information, the operating parameters, and the environmental parameters; Based on the characteristic factors, determining the probability of an impending emergency; When the probability exceeds a preset probability threshold, it is determined that an emergency situation is about to occur.

5. The control method for safe transportation of reactor vibration reduction and isolation device according to claim 1, characterized in that: When it is determined that an emergency situation has occurred or is about to occur, after the escape mechanism is triggered so that the reactor vibration reduction and isolation device escapes from the carrier, the method further includes: Acquire sensor information after the reactor vibration reduction and isolation device is removed, and compare the sensor information after the removal with the sensor information before the removal; Based on the comparison result, it is determined whether the reactor vibration reduction and isolation device is damaged and a corresponding maintenance method is generated.

6. The control method for safe transportation of reactor vibration reduction and isolation device according to claim 1, characterized in that: The adjusting the triggering threshold and response time of the escape mechanism based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device escapes includes: Determine key parameters for the occurrence of the outage event based on sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device is out of service; Determining the correlation between the trigger threshold and response time of the dislodgment mechanism and the dislodgment frequency based on the key parameters; The triggering threshold of the escape mechanism is adjusted based on the correlation to reduce the probability of a false triggering event.

7. The control method for safe transportation of reactor vibration reduction and isolation device according to claim 1, characterized in that: The sensor information includes at least one of vibration acceleration and impact acceleration.

8. A control device for safe transportation of a reactor vibration reduction and isolation device, characterized in that: include: An acquisition module is used to obtain sensor information, operating parameters and environmental parameters of the reactor vibration reduction and isolation device in real time during transportation; An escape module, used to determine whether an emergency situation has occurred or is about to occur based on at least the sensor information, and when it is determined that an emergency situation has occurred or is about to occur, trigger an escape mechanism to cause the reactor vibration reduction and isolation device to escape from the carrier; The adjustment module is used to adjust the trigger threshold and response time of the escape mechanism based on the sensor information, operating parameters and environmental parameters after the reactor vibration reduction and isolation device escapes.

9. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, wherein: The processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program on the memory.

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