A method and system for processing dynamic information of a monorail crane locomotive

Abstract

This invention discloses a method and system for processing dynamic information of a monorail crane, relating to the field of data processing. It includes a cloud computing platform, which is communicatively connected to an information data acquisition module, a dynamic information confirmation module, a dynamic information processing module, a dynamic analysis module, and a monitoring module. The method involves collecting basic information data and dynamic information datasets of the monorail crane. The dynamic information confirmation module receives the dynamic information dataset, confirms the dynamic information data within it, and obtains a dynamic information dataset with precise time points. The dynamic information processing module processes the dynamic information dataset with precise time points to obtain dynamic information data for a specific time period, and then obtains a dynamic information data security index. Based on the dynamic information data security index, the method analyzes the dynamic information data of the monorail crane to determine its real-time status. Finally, it issues early warnings to the monorail crane based on its real-time status.

Description

Technical Field

[0001] This invention relates to the field of data processing, specifically to a method and system for processing dynamic information of a monorail crane. Background Technology

[0002] A monorail locomotive, also known as a monorail train, is a train design in which the track occupies only one side, while the other side uses air cushion or magnetic levitation technology to make the train float in the air. Monorail locomotives can be high-speed trains or urban light rail, etc. They can adopt different technical support methods, such as air cushion, wheel-rail separation, and magnetic levitation. However, in general, monorail locomotives belong to a new type of rail transportation tool.

[0003] However, during the use of this new type of rail transit vehicle, the monorail locomotive, it is necessary to process and monitor its dynamic information. However, in the existing technology, the process of collecting the dynamic information of the monorail locomotive is affected by unspecified factors, making it impossible to obtain the monorail locomotive's dynamic information in real time. This results in the collected dynamic information of the monorail locomotive being unstable, and the reliability of the information cannot be guaranteed when processing the dynamic information of the monorail locomotive, thus posing a monitoring risk. Therefore, a method and system for processing the dynamic information of the monorail locomotive is provided. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides a method and system for processing dynamic information of a monorail crane locomotive;

[0005] The objective of this invention can be achieved through the following technical solution: a dynamic information processing system for a monorail crane locomotive, comprising a cloud computing platform, wherein the cloud computing platform is communicatively connected to an information data acquisition module, a dynamic information confirmation module, a dynamic information processing module, a dynamic analysis module, and a monitoring module;

[0006] The information data acquisition module is used to collect basic information data of the monorail crane locomotive, and is equipped with acquisition node units to collect dynamic information data and generate dynamic information datasets.

[0007] The dynamic information confirmation module is used to receive dynamic information datasets and is equipped with an information data confirmation chain to confirm the dynamic information data in the dynamic information dataset, obtain dynamic information data at precise time points, and then obtain dynamic information datasets at precise time points.

[0008] The dynamic information processing module is equipped with a first processing unit and a second processing unit, which are used to process the dynamic information dataset at precise time points, obtain dynamic information data for a time period, and send it to the second processing unit for processing to obtain the dynamic information data security index.

[0009] The dynamic analysis module is used to analyze the dynamic information data of the monorail crane based on the dynamic information data security index to determine the real-time status of the monorail crane.

[0010] The monitoring module is used to provide early warnings for the monorail crane based on its real-time status.

[0011] Furthermore, the basic information data includes the monorail locomotive code, the monorail operator's number, the monorail locomotive operating parameters, and the monorail locomotive operating date; the monorail locomotive code is used as a unique identifier and is associated with the monorail operator's number, the monorail locomotive operating parameters, and the monorail locomotive operating date to generate a basic information database.

[0012] Furthermore, the process by which the acquisition node unit acquires the dynamic information dataset includes:

[0013] Within the acquisition node unit, several acquisition nodes are configured. These nodes are set with corresponding dynamic information data, the same acquisition time period, and the number of acquisitions required for that time period. This allows the acquisition frequency corresponding to the dynamic information data to be obtained. The acquisition nodes wirelessly connect to corresponding dynamic information data collectors based on the dynamic information data, sending the acquisition frequency to the collectors. Several acquisition time points are then obtained based on the acquisition frequency. Subsequently, several dynamic information data points corresponding to these acquisition time points are acquired, sent to the acquisition nodes, and associated with the corresponding acquisition time points to generate a dynamic information dataset, which is stored at the respective acquisition nodes.

[0014] The dynamic information data acquisition device includes several sensors and GPS.

[0015] Furthermore, the process by which the dynamic information confirmation module acquires the dynamic information dataset at precise time points includes:

[0016] The information data confirmation chain includes an information data input chain and an information data comparison chain; the information data comparison chain includes a first information data comparison chain and a second information data comparison chain.

[0017] The received dynamic information dataset is sent sequentially to the information data input chain, starting from the first collection time point, according to the order of collection time. Simultaneously, starting from the second collection time point, the dataset is sent sequentially to the first information data comparison chain, so the last collection time point becomes the first collection time point. The first collection time point in the information data input chain is then compared with the second collection time point in the first information data comparison chain, and so on, with the last collection time point in the information data input chain corresponding to the first collection time point in the first information data comparison chain. The dynamic information data at the corresponding collection time points in the information data input chain and the first information data comparison chain are then compared to obtain the first dynamic information data ratio corresponding to the collection time point.

[0018] Furthermore, the ratio of the first dynamic information data is compared with a preset threshold range. If the ratio falls within the threshold range, the dynamic information data in the information data input chain corresponding to the collection time point is retained, and corresponding precise time point dynamic information data is generated. Then, several corresponding precise time point dynamic information data in the information data input chain are stored, and a precise time point dynamic information dataset is generated and sent to the dynamic information processing module. Otherwise, the dynamic information data in the information data chain corresponding to the collection time point is removed.

[0019] Furthermore, the process of acquiring dynamic information data over a time period includes:

[0020] The first processing unit receives the precise time point dynamic information dataset, obtains the precise time point dynamic information data, the corresponding collection time point, and the total number of precise time point dynamic information data corresponding to all collection time points in the precise time point dynamic information dataset; and then obtains the time period dynamic information data corresponding to the collection time period of the collection time point.

[0021] The specific formula is as follows:

[0022] ;

[0023] Where t represents the same data collection period, and d represents dynamic information data. This represents dynamic information data within the same data collection period; i represents the i-th data collection time point, and i is greater than or equal to 1. denoted as the dynamic information data corresponding to the i-th collection time point, and n represents the total number of precise time point dynamic information data corresponding to all collection time points in the precise time point dynamic information dataset;

[0024] The acquired dynamic information data for a given time period is sent to the information data input chain in the dynamic information confirmation module; and compared with the pre-stored preset threshold range of dynamic information data for a given time period in the second information data comparison chain.

[0025] If the dynamic information data for a time period falls within the threshold range, the dynamic information data for that time period is sent to the second processing module; otherwise, a first alarm signal is generated and sent to the monitoring module.

[0026] Furthermore, the process of obtaining the dynamic information data security index includes:

[0027] The second processing unit acquires dynamic information data for several time periods, generates a dynamic information dataset for each time period, and then obtains the dynamic information data security index corresponding to the time period based on the dynamic information dataset for each time period and the monorail crane's operating parameters.

[0028] The specific formula is as follows:

[0029] ;

[0030] in, This represents the dynamic information data security index, where 'a' represents acceleration over a time period, 'f' represents friction over a time period, and 'v' represents velocity over a time period. Time period tilt angle, Rated load capacity Rated speed, Maximum lifting height Maximum lifting capacity; This is expressed as a correction factor for friction over a given time period. This is expressed as the correction factor corresponding to the tilt angle of the time period. and These represent the weights corresponding to the maximum lifting height and the maximum lifting capacity, respectively; t represents the data collection period.

[0031] The dynamic information data security index is obtained based on the monorail crane vehicle code and associated with the basic information database to generate a dynamic information data security index library, which is then sent to the monitoring module.

[0032] The time-period dynamic information dataset includes time-period acceleration, time-period friction, time-period velocity, and time-period tilt angle.

[0033] Furthermore, the process of determining the real-time status of the monorail crane includes:

[0034] Set the expected value of the dynamic information data security index. and the standard deviation of the normal distribution ;

[0035] like Existing in the interval If the value is 0, it indicates the dynamic information data security corresponding to the dynamic information data security index, and it is determined that the monorail crane is in a safe state.

[0036] Conversely, if the dynamic information data security index corresponds to a dangerous dynamic information data, the monorail crane is judged to be in a dangerous state, and a second alarm signal is generated and sent to the monitoring module.

[0037] The real-time status includes a safe status and a dangerous status.

[0038] Furthermore, the process by which the monitoring module issues early warnings to the monorail crane based on its real-time status includes:

[0039] Receive the first alarm signal, acquire dynamic information data for the time period corresponding to the first alarm signal, and perform dynamic information data defense.

[0040] The system receives the second alarm signal, obtains the dynamic information data security index corresponding to the second alarm signal, then obtains the monorail crane locomotive code in the dynamic information data security index database, obtains the basic information database based on the monorail crane locomotive code, obtains the monorail crane driver number based on the basic information database, and sends the real-time status to the terminal corresponding to the monorail crane driver number.

[0041] Furthermore, this includes the following steps:

[0042] Step 1: Collect basic information data of the monorail crane vehicle, set up data collection node units, collect dynamic information data, and generate a dynamic information dataset;

[0043] Step 2: By receiving the dynamic information dataset and setting up an information data confirmation chain, and confirming the dynamic information data in the dynamic information dataset, the precise time point dynamic information data is obtained, and thus the precise time point dynamic information dataset is obtained.

[0044] Step 3: By setting up a first processing unit and a second processing unit, the dynamic information dataset at precise time points is processed to obtain dynamic information data for a time period, and then sent to the second processing unit for processing to obtain the dynamic information data security index;

[0045] Step 4: Analyze the dynamic information data of the monorail crane based on the dynamic information data security index to determine the real-time status of the monorail crane.

[0046] Step 5: Issue early warnings to the monorail crane based on real-time status.

[0047] Compared with existing technologies, the beneficial effects of this invention are as follows: By collecting basic information data of the monorail crane and setting up collection node units, a dynamic information dataset is generated; by receiving the dynamic information dataset and setting up an information data confirmation chain to confirm the dynamic information data in the dynamic information dataset, a precise time-point dynamic information dataset is obtained; by setting up a first processing unit and a second processing unit, the precise time-point dynamic information dataset is processed to obtain time-period dynamic information data, which is then sent to the second processing unit for processing to obtain a dynamic information data security index; the dynamic information data of the monorail crane is analyzed based on the dynamic information data security index to determine the real-time status of the monorail crane; and an early warning is issued to the monorail crane based on the real-time status; this not only improves the stability of the collected monorail crane dynamic information but also improves the reliability of the monitoring data. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0049] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation

[0050] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0051] like Figure 1 As shown, a dynamic information processing system for a monorail crane includes a cloud computing platform, which is communicatively connected to an information data acquisition module, a dynamic information confirmation module, a dynamic information processing module, a dynamic analysis module, and a monitoring module.

[0052] The information data acquisition module is used to collect basic information data of the monorail crane, and is equipped with acquisition node units for collecting dynamic information data and generating dynamic information datasets. The specific process includes:

[0053] The basic information data includes the monorail locomotive code, monorail driver number, monorail locomotive operating parameters, and monorail locomotive operating date; the monorail locomotive code is used as a unique identifier and is associated with the monorail driver number, monorail locomotive operating parameters, and monorail locomotive operating date to generate a basic information database;

[0054] In the specific implementation process, it should be further explained that one monorail crane locomotive code corresponds to multiple monorail crane driver numbers and one monorail crane locomotive operating parameter, and one monorail crane driver number corresponds to multiple monorail crane locomotive operating dates;

[0055] The operating parameters of the monorail crane include rated load, rated speed, maximum lifting height, and maximum lifting capacity.

[0056] The dynamic information data includes acceleration, friction, velocity, tilt angle, and position;

[0057] The setup process for the acquisition node unit includes:

[0058] Set up a data acquisition node unit, and set up several data acquisition nodes in the data acquisition node unit to collect dynamic information data in real time and send the dynamic information data to the dynamic information confirmation module for confirmation;

[0059] The process by which the data acquisition node unit collects dynamic information data in real time includes:

[0060] The system sets corresponding dynamic information data, the same collection time period, and the number of collections required for the same collection time period at several collection nodes to obtain the collection frequency corresponding to the dynamic information data. The several collection nodes wirelessly connect to the corresponding dynamic information data collectors based on the dynamic information data, send the collection frequency to the corresponding dynamic information data collectors, and obtain several collection time points based on the collection frequency. Then, it obtains several dynamic information data corresponding to the several collection time points, sends the several dynamic information data to the collection nodes, and associates the data with the corresponding collection time points to generate a dynamic information dataset, which is stored at the corresponding collection nodes.

[0061] It should be further noted that, in the specific implementation process, the collection time period is less than or equal to ten seconds; furthermore, the time point when the dynamic information data collector receives the data at the corresponding collection frequency is marked as the first collection time point, and the time point when the collection node generates the dynamic information dataset is marked as the last collection time point.

[0062] The dynamic information data acquisition device includes several sensors and a GPS, which are used to collect acceleration, friction, velocity, tilt angle and position, respectively; the several sensors include an acceleration sensor, a friction sensor, a velocity sensor and a tilt angle sensor.

[0063] The dynamic information confirmation module is used to receive dynamic information datasets and is equipped with an information data confirmation chain to confirm the dynamic information data in the dynamic information dataset, obtain dynamic information data at precise time points, and then obtain dynamic information datasets at precise time points. The specific process includes:

[0064] The information data confirmation chain includes an information data input chain and an information data comparison chain; the information data comparison chain includes a first information data comparison chain and a second information data comparison chain.

[0065] The received dynamic information dataset is sent sequentially to the information data input chain, starting from the first collection time point, according to the order of collection time. Simultaneously, starting from the second collection time point, all data is sent sequentially to the first information data comparison chain, so the last collection time point becomes the first collection time point. The first collection time point in the information data input chain is then compared with the second collection time point in the first information data comparison chain, and so on, with the last collection time point in the information data input chain corresponding to the first collection time point in the first information data comparison chain. The dynamic information data at the corresponding collection time points in the information data input chain and the first information data comparison chain are then compared to obtain the first dynamic information data ratio corresponding to each collection time point.

[0066] The first dynamic information data ratio is compared with a preset first dynamic information data ratio threshold range. If it exists within the first dynamic information data ratio threshold, the dynamic information data in the information data input chain corresponding to the collection time point is retained, and corresponding precise time point dynamic information data is generated. Then, several corresponding precise time point dynamic information data in the information data input chain are stored to generate a precise time point dynamic information dataset, which is sent to the dynamic information processing module. Otherwise, the dynamic information data in the information data chain corresponding to the collection time point is removed.

[0067] It should be further explained that, during the specific implementation process, the dynamic information dataset acquired during the collection period is simultaneously confirmed to reduce confirmation time. Multiple sets of data are compared to increase the accuracy of the acquired dynamic information data. It should also be noted that, because the collection period is set to be less than or equal to ten seconds, which is extremely short, the error between the dynamic information data collected at two adjacent time points should be less than or equal to the threshold. Therefore, multiple data are compared to confirm the collected dynamic information data, ensure the quality of the dynamic information data, and avoid data quality instability caused by environmental, equipment, or other factors.

[0068] The dynamic information processing module is equipped with a first processing unit and a second processing unit, used to process the dynamic information dataset at precise time points, obtain dynamic information data for a time period, and send it to the second processing unit for processing to obtain the dynamic information data security index. The specific process includes:

[0069] The system receives a dataset of dynamic information at precise time points and sends it to the first processing unit to obtain dynamic information data of the time period corresponding to the collection time point.

[0070] The specific formula is as follows:

[0071] ;

[0072] Where t represents the same data collection period, and d represents dynamic information data. This represents dynamic information data within the same data collection period; i represents the i-th data collection time point, and i is greater than or equal to 1. denoted as the dynamic information data corresponding to the i-th collection time point, and n represents the total number of precise time point dynamic information data corresponding to all collection time points in the precise time point dynamic information dataset;

[0073] The acquired dynamic information data for a given time period is sent to the information data input chain in the dynamic information confirmation module; and compared with the pre-stored preset threshold range of dynamic information data for a given time period in the second information data comparison chain.

[0074] If the dynamic information data for a time period falls within the threshold range, the dynamic information data for that time period is sent to the second processing module; otherwise, a first alarm signal is generated and sent to the monitoring module.

[0075] The process by which the second processing unit acquires the dynamic information data security index includes:

[0076] The second processing unit acquires dynamic information data for several time periods, generates a dynamic information dataset for each time period, and then obtains the dynamic information data safety index corresponding to the time period based on the dynamic information dataset for each time period and the monorail crane's operating parameters. The dynamic information dataset for each time period includes acceleration, friction, velocity, and tilt angle for each time period.

[0077] The specific formula is as follows:

[0078] ;

[0079] in, This represents the dynamic information data security index, where 'a' represents acceleration over a time period, 'f' represents friction over a time period, and 'v' represents velocity over a time period. Time period tilt angle, Rated load capacity Rated speed, Maximum lifting height Maximum lifting capacity; This is expressed as a correction factor for friction over a given time period. This is expressed as the correction factor corresponding to the tilt angle of the time period. and These represent the weights corresponding to the maximum lifting height and the maximum lifting capacity, respectively; t represents the data collection period.

[0080] The dynamic information data security index is obtained based on the monorail crane vehicle code and associated with the basic information database to generate a dynamic information data security index library, which is then sent to the monitoring module.

[0081] It should be further explained that, in the specific implementation process, the dynamic information data security index corresponding to the time period is obtained based on the dynamic information dataset of the time period and the operating parameters of the monorail crane, which greatly reduces the complexity of processing and increases the reliability of the processed data.

[0082] The dynamic analysis module is used to analyze the dynamic information data of the monorail crane based on the dynamic information data security index to determine the real-time status of the monorail crane. The specific process includes:

[0083] Set the expected value of the dynamic information data security index. and the standard deviation of the normal distribution ;

[0084] like Existing in the interval If the value is 0, it indicates the dynamic information data security corresponding to the dynamic information data security index, and it is determined that the monorail crane is in a safe state.

[0085] Conversely, if the dynamic information data security index corresponds to a dangerous dynamic information data, the monorail crane is judged to be in a dangerous state, and a second alarm signal is generated and sent to the monitoring module.

[0086] The real-time status includes a safe status and a dangerous status;

[0087] It should be further explained that in the specific implementation process, the dynamic information data security index is not necessarily better the higher it is, nor does a higher index necessarily represent the security of the dynamic information data. Therefore, the dynamic information data is most secure when the dynamic information data security index is within the optimal range of the normal distribution.

[0088] The monitoring module is used to issue early warnings to the monorail crane based on its real-time status. The specific process includes:

[0089] Receive the first alarm signal, acquire dynamic information data for the time period corresponding to the first alarm signal, and perform dynamic information data defense.

[0090] Obtain the dynamic information data security index corresponding to the second alarm signal, then obtain the monorail crane locomotive code in the dynamic information data security index database, obtain the basic information database based on the monorail crane locomotive code, obtain the monorail crane driver number based on the basic information database, and send the real-time status to the terminal corresponding to the monorail crane driver number.

[0091] Then, the location of the monorail crane is obtained based on GPS, and the monorail crane is monitored based on the location.

[0092] This invention also discloses a dynamic information processing method for a monorail crane locomotive dynamic information processing system, comprising the following steps:

[0093] Step 1: Collect basic information data of the monorail crane vehicle, set up data collection node units, collect dynamic information data, and generate a dynamic information dataset;

[0094] Step 2: By receiving the dynamic information dataset and setting up an information data confirmation chain, and confirming the dynamic information data in the dynamic information dataset, the precise time point dynamic information data is obtained, and thus the precise time point dynamic information dataset is obtained.

[0095] Step 3: By setting up a first processing unit and a second processing unit, the dynamic information dataset at precise time points is processed to obtain dynamic information data for a time period, and then sent to the second processing unit for processing to obtain the dynamic information data security index;

[0096] Step 4: Analyze the dynamic information data of the monorail crane based on the dynamic information data security index to determine the real-time status of the monorail crane.

[0097] Step 5: Issue early warnings to the monorail crane based on real-time status.

[0098] The features and exemplary embodiments of various aspects of this application will be described in detail above. In order to make the purpose, technical solution and advantages of this application clearer, the application will be further described in detail above with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit this application. For those skilled in the art, this application can be implemented without some of the details in these specific details. The above description of the embodiments is only to provide a better understanding of this application by showing examples of this application.

[0099] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A dynamic information processing system for a monorail crane, comprising a cloud computing platform, characterized in that, The cloud computing platform has communication connections to an information data acquisition module, a dynamic information confirmation module, a dynamic information processing module, a dynamic analysis module, and a monitoring module. The information data acquisition module is used to collect basic information data of the monorail crane locomotive, and is equipped with acquisition node units to collect dynamic information data and generate dynamic information datasets. The dynamic information confirmation module is used to receive dynamic information datasets and is equipped with an information data confirmation chain to confirm the dynamic information data in the dynamic information dataset and obtain a dynamic information dataset with a precise time point. The dynamic information processing module is equipped with a first processing unit and a second processing unit, which are used to process the dynamic information dataset at precise time points, obtain dynamic information data for a time period, and send it to the second processing unit for processing to obtain the dynamic information data security index. The dynamic analysis module is used to analyze the dynamic information data of the monorail crane based on the dynamic information data security index to determine the real-time status of the monorail crane. The monitoring module is used to provide early warnings for the monorail crane based on its real-time status.

2. The monorail crane locomotive dynamic information processing system according to claim 1, characterized in that, The basic information data includes the monorail locomotive code, the monorail driver's number, and the monorail locomotive operating parameters; the monorail locomotive code is used as a unique identifier to generate the basic information database.

3. The monorail crane locomotive dynamic information processing system according to claim 1, characterized in that, The process by which the data acquisition node unit acquires the dynamic information dataset includes: Several acquisition nodes are set within the acquisition node unit. These acquisition nodes are configured with corresponding dynamic information data, the same acquisition time period, and the number of acquisitions required for the same acquisition time period. This allows the acquisition frequency corresponding to the dynamic information data to be obtained. The acquisition nodes wirelessly connect to the corresponding dynamic information data acquisition device based on the dynamic information data, sending the acquisition frequency to the corresponding dynamic information data acquisition device. Several acquisition time points are obtained based on the acquisition frequency. Then, several dynamic information data points corresponding to these acquisition time points are obtained, and these dynamic information data points are sent to the acquisition nodes and associated with the corresponding acquisition time points to generate a dynamic information dataset, which is stored at the corresponding acquisition nodes.

4. The monorail crane locomotive dynamic information processing system according to claim 3, characterized in that, The process by which the dynamic information confirmation module acquires a precise time-point dynamic information dataset includes: The information data confirmation chain includes an information data input chain and an information data comparison chain; the information data comparison chain includes a first information data comparison chain and a second information data comparison chain. The received dynamic information dataset is sent to the information data input chain in the order of the collection time, starting from the first collection time. At the same time, it is sent to the first information data comparison chain in the order of the collection time, starting from the second collection time. The last collection time is the first collection time. The first collection time point in the information data input chain is matched with the second collection time point in the first information data comparison chain, and so on. The last collection time point in the information data input chain is matched with the first collection time point in the first information data comparison chain. Then, the dynamic information data of the collection time points corresponding to the information data input chain and the first information data comparison chain are compared to obtain the ratio of the first dynamic information data corresponding to the collection time point.

5. The monorail crane locomotive dynamic information processing system according to claim 4, characterized in that, The first dynamic information data ratio is compared with the preset first dynamic information data ratio threshold range. If it exists within the first dynamic information data ratio threshold, the dynamic information data in the information data input chain corresponding to the collection time point is retained, and the corresponding accurate time point dynamic information data is generated. Then, several corresponding accurate time point dynamic information data in the information data input chain are stored, and an accurate time point dynamic information dataset is generated and sent to the dynamic information processing module. Conversely, dynamic information data in the information data chain corresponding to the collection time point will be removed.

6. The monorail crane locomotive dynamic information processing system according to claim 5, characterized in that, The process of acquiring dynamic information data over a time period includes: The first processing unit receives the precise time point dynamic information dataset, obtains the precise time point dynamic information data, the corresponding collection time point, and the total number of precise time point dynamic information data corresponding to all collection time points in the precise time point dynamic information dataset; and then obtains the time period dynamic information data corresponding to the collection time period of the collection time point. The acquired dynamic information data for a given time period is sent to the information data input chain in the dynamic information confirmation module; and compared with the pre-stored preset threshold range of dynamic information data for a given time period in the second information data comparison chain. If the dynamic information data for a time period falls within the threshold range, the dynamic information data for that time period is sent to the second processing module; otherwise, a first alarm signal is generated and sent to the monitoring module.

7. The monorail crane locomotive dynamic information processing system according to claim 6, characterized in that, The process of obtaining the dynamic information data security index includes: The second processing unit acquires dynamic information data for several time periods, generates a dynamic information dataset for each time period, and then obtains the dynamic information data security index corresponding to the time period based on the dynamic information dataset for each time period and the monorail crane's operating parameters. Based on the monorail crane vehicle code, the acquired dynamic information data security index is correlated with the basic information database to generate a dynamic information data security index library, which is then marked as... ; The time-period dynamic information dataset includes time-period acceleration, time-period friction, time-period velocity, and time-period tilt angle.

8. The monorail crane locomotive dynamic information processing system according to claim 7, characterized in that, The process of determining the real-time status of the monorail crane includes: Set the expected value of the dynamic information data security index. and the standard deviation of the normal distribution ; like Existing in the interval If the value is 0, it indicates the dynamic information data security corresponding to the dynamic information data security index, and it is determined that the monorail crane is in a safe state. Conversely, if the dynamic information data security index corresponds to a dangerous dynamic information data, the monorail crane is judged to be in a dangerous state, and a second alarm signal is generated and sent to the monitoring module. The real-time status includes a safe status and a dangerous status.

9. A dynamic information processing system for a monorail crane locomotive according to claim 8, characterized in that, The process by which the monitoring module issues early warnings to the monorail crane based on its real-time status includes: Receive the first alarm signal, acquire dynamic information data for the time period corresponding to the first alarm signal, and perform dynamic information data defense. The system receives the second alarm signal, obtains the dynamic information data security index corresponding to the second alarm signal, then obtains the monorail crane locomotive code in the dynamic information data security index database, obtains the basic information database based on the monorail crane locomotive code, obtains the monorail crane driver number based on the basic information database, and sends the real-time status to the terminal corresponding to the monorail crane driver number.

10. A dynamic information processing method for a monorail crane locomotive dynamic information processing system according to any one of claims 1 to 9, characterized in that, Includes the following steps: Step 1: By collecting basic information data of the monorail crane and setting up data collection node units, a dynamic information dataset is generated; Step 2: By receiving the dynamic information dataset, setting up an information data confirmation chain, and confirming the dynamic information data in the dynamic information dataset, a precise time point dynamic information dataset is obtained. Step 3: By setting up a first processing unit and a second processing unit, the dynamic information dataset at precise time points is processed to obtain dynamic information data for a time period, and then sent to the second processing unit for processing to obtain the dynamic information data security index; Step 4: Analyze the dynamic information data of the monorail crane based on the dynamic information data security index to determine the real-time status of the monorail crane. Step 5: Issue early warnings to the monorail crane based on real-time status.

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