An automatic management and control method and system for the opening and closing of a ship lock

Abstract

The application provides a ship lock opening and closing automatic management control method and system, and belongs to the field of ship lock safety management. The ship lock opening and closing automatic management control method comprises the following steps: obtaining historical ship lock equipment management data and historical ship lock equipment maintenance time data; the historical ship lock equipment maintenance time data comprises time node data of actual maintenance of ship lock equipment each time; analyzing basic wear degree data according to the historical ship lock equipment management data; calculating time interval trend influence data according to the historical ship lock equipment maintenance time data; determining comprehensive wear degree data according to the basic wear degree data and the time interval trend influence data, and determining ship lock equipment maintenance prompt data based on the comprehensive wear degree data and a preset wear degree threshold. By using the scheme, the use safety of the ship lock is improved, and the service life of the ship lock is prolonged.

Description

Technical Field

[0001] This application relates to the field of lock safety management, and in particular to an automatic management and control method and system for lock opening and closing. Background Technology

[0002] For lock systems that can open and close automatically, regular maintenance is necessary to ensure their safe operation and the safety of passing vessels. During use, lock systems are affected not only by usage frequency and duration but also by collisions with other vessels, all of which contribute to wear and tear. Therefore, analyzing lock usage patterns and providing maintenance reminders are crucial for extending the lifespan of lock systems. Summary of the Invention

[0003] This application provides an automatic management and control method and system for the opening and closing of ship locks, which can extend the service life of ship locks.

[0004] Firstly, this application provides an automatic management and control method for the opening and closing of a ship lock. The method includes:

[0005] Acquire historical lock equipment management data and historical lock equipment maintenance time data; the historical lock equipment maintenance time data includes the time node data of each actual maintenance of the lock equipment; the historical lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data within a preset time period; the preset time period is the time period from the last actual maintenance time node of the lock equipment to the current time.

[0006] The basic wear and tear data is analyzed based on the historical lock equipment management data; the basic wear and tear data is correlated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data.

[0007] The time interval trend impact data is calculated based on the historical lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between each actual maintenance time node of the lock equipment.

[0008] The overall wear rate data is determined based on the basic wear rate data and the time interval trend influence data, and the lock equipment maintenance reminder data is determined based on the overall wear rate data and the preset wear rate threshold.

[0009] Furthermore, the analysis of basic wear data based on the historical lock equipment management data; the basic wear data being correlated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data includes:

[0010] Calculate the equipment wear and tear impact data based on the historical equipment usage frequency data and the historical equipment usage time data;

[0011] The collision frequency difference is calculated based on the historical ship collision frequency data and the preset collision frequency threshold, and the collision wear degree impact data is calculated based on the collision frequency difference; the collision frequency difference is the difference between the historical ship collision frequency data and the preset collision frequency threshold.

[0012] The basic wear data is analyzed based on the equipment wear impact data and the collision wear impact data.

[0013] Furthermore, the calculation method for the basic wear data includes:

[0014]

[0015] In the formula, F is the basic wear and tear data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the collision number difference; where K1 and K2 are the preset first weight and preset second weight, respectively, and K1+K2=1.

[0016] Furthermore, the calculation method for the time interval trend impact data includes:

[0017] Given n time points, the data at the i-th time point is t. i The first time node data is the time node data closest to the current time, and the nth time node data is the time node data farthest from the current time.

[0018] Calculate n-1 time interval values ​​d1, ..., d n-1 Where, d1 = t1 - t2, ..., d n-1 =t n-1 -t n ;

[0019] Determine whether all values ​​are greater than 0 or all values ​​are not greater than 0;

[0020] If so, the calculation method for the influence of time interval trends on the data is as follows:

[0021] If not, then the calculation method for the influence of time interval trends on the data is as follows: Where x is the number of time interval values ​​greater than 0, and y is the number of time interval values ​​not greater than 0.

[0022] Furthermore, the calculation method for the comprehensive wear data includes:

[0023] W = F × (1 + Q)

[0024] In the formula, W represents the overall wear rate data, F represents the basic wear rate data, and Q represents the time interval trend influence data.

[0025] Secondly, this application provides an automatic management and control system for the opening and closing of a ship lock. The system includes:

[0026] The acquisition module is used to acquire historical lock equipment management data and historical lock equipment maintenance time data. The historical lock equipment maintenance time data includes the time node data of each actual maintenance of the lock equipment. The historical lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data, and historical ship collision data within a preset time period. The preset time period is the time period between the last actual maintenance time node of the lock equipment and the current time.

[0027] The analysis module is used to analyze the basic wear data based on the historical lock equipment management data; the basic wear data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data.

[0028] The calculation module is used to calculate the time interval trend impact data based on the historical lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between each actual maintenance time node of the lock equipment.

[0029] The determination module is used to determine comprehensive wear data based on the basic wear data and the time interval trend influence data, and to determine lock equipment maintenance reminder data based on the comprehensive wear data and the preset wear threshold.

[0030] Furthermore, the analysis module is further configured to analyze basic wear data based on the historical lock equipment management data; the basic wear data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data, including:

[0031] Calculate the equipment wear and tear impact data based on the historical equipment usage frequency data and the historical equipment usage time data;

[0032] The collision frequency difference is calculated based on the historical ship collision frequency data and the preset collision frequency threshold, and the collision wear degree impact data is calculated based on the collision frequency difference; the collision frequency difference is the difference between the historical ship collision frequency data and the preset collision frequency threshold.

[0033] The basic wear data is analyzed based on the equipment wear impact data and the collision wear impact data.

[0034] Furthermore, the analysis module is further configured such that the calculation method for the basic wear data includes:

[0035]

[0036] In the formula, F is the basic wear and tear data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the collision number difference; where K1 and K2 are the preset first weight and preset second weight, respectively, and K1+K2=1.

[0037] Furthermore, the calculation module is further configured such that the calculation method for the time interval trend impact data includes:

[0038] Given n time points, the data at the i-th time point is t. i The first time node data is the time node data closest to the current time, and the nth time node data is the time node data farthest from the current time.

[0039] Calculate n-1 time interval values ​​d1, ..., d n-1 Where, d1 = t1 - t2, ..., d n-1 =t n-1 -t n ;

[0040] Determine whether all values ​​are greater than 0 or all values ​​are not greater than 0;

[0041] If so, the calculation method for the influence of time interval trends on the data is as follows:

[0042] If not, then the calculation method for the influence of time interval trends on the data is as follows: Where x is the number of time interval values ​​greater than 0, and y is the number of time interval values ​​not greater than 0.

[0043] Furthermore, the determining module is further configured such that the calculation method for the comprehensive wear data includes:

[0044] W = F × (1 + Q)

[0045] In the formula, W represents the overall wear rate data, F represents the basic wear rate data, and Q represents the time interval trend influence data.

[0046] It should be understood that the description in the Summary Section is not intended to limit the key or essential features of the embodiments of this application, nor is it intended to restrict the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0047] The above and other features, advantages, and aspects of the embodiments of this application will become more apparent from the accompanying drawings and the following detailed description. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0048] Figure 1 A flowchart of an automatic management and control method for the opening and closing of a ship lock is shown in an embodiment of this application;

[0049] Figure 2 A block diagram of an automatic management and control system for the opening and closing of a ship lock, according to an embodiment of this application, is shown. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0051] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0052] This application provides an automatic management and control method and system for the opening and closing of ship locks, which can extend the service life of ship locks.

[0053] Firstly, this application provides an automatic management and control method for the opening and closing of ship locks. (Reference) Figure 1 The specific steps included in the method are as follows.

[0054] Step S110: Obtain historical lock equipment management data and historical lock equipment maintenance time data; the historical lock equipment maintenance time data includes the time node data of each actual maintenance of the lock equipment; the historical lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data and historical ship collision count data within a preset time period; the preset time period is the time period between the last actual maintenance time node of the lock equipment and the current time.

[0055] In this embodiment of the application, the historical equipment usage frequency data is the frequency of use of the lock equipment within a preset time period. The historical equipment usage frequency data can be obtained by dividing the number of times the lock equipment is used by the duration of the preset time period. The historical equipment usage time data is the time data of the lock being used. The historical ship collision count data is the number of times a ship collided with the lock equipment. These data can be obtained through the lock equipment usage records. There are various ways to obtain them, which will not be elaborated here.

[0056] Step S120: Analyze the basic wear data based on the historical lock equipment management data; the basic wear data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data.

[0057] In this embodiment of the application, the analysis of basic wear data based on the historical lock equipment management data specifically includes: calculating equipment wear impact data based on the historical equipment usage frequency data and the historical equipment usage time data; calculating the collision number difference based on the historical ship collision number data and a preset collision number threshold, and calculating collision wear impact data based on the collision number difference; the collision number difference is the difference between the historical ship collision number data and the preset collision number threshold; and analyzing basic wear data based on the equipment wear impact data and the collision wear impact data.

[0058] The calculation method for the basic wear data includes:

[0059]

[0060] In the formula, F is the basic wear and tear data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the collision number difference; where K1 and K2 are the preset first weight and preset second weight, respectively, and K1+K2=1.

[0061] It is understandable that wear and tear on mechanical parts caused by the frequency of equipment use, as well as environmental wear caused by the duration of equipment use, are normal wear and tear. However, ship collisions are essentially low-probability events. Therefore, an activation function is used here to characterize the excess impact caused by the difference in the number of ship collisions exceeding a predetermined number. For example, if the collision threshold is 10 times, then the impact of 11 collisions is huge, but the impact of 12 collisions is not as significant as that of 11 collisions. Therefore, an activation function is used to characterize the impact of this data.

[0062] Step S130: Calculate the time interval trend impact data based on the historical lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between each actual maintenance time node of the lock equipment.

[0063] In this embodiment of the application, the calculation method for the time interval trend influence data includes:

[0064] Given n time points, the data at the i-th time point is t. i The first time node data is the time node data closest to the current time, and the nth time node data is the time node data farthest from the current time.

[0065] Calculate n-1 time interval values ​​d1, ..., d n-1 Where, d1 = t1 - t2, ..., d n-1 =t n-1 -t n ;

[0066] Determine whether all values ​​are greater than 0 or all values ​​are not greater than 0;

[0067] If so, the calculation method for the influence of time interval trends on the data is as follows:

[0068] If not, then the calculation method for the influence of time interval trends on the data is as follows: Where x is the number of time interval values ​​greater than 0, and y is the number of time interval values ​​not greater than 0.

[0069] Understandably, the actual maintenance timeline can vary, but generally speaking, longer time intervals indicate better maintenance of the lock equipment, while shorter intervals suggest poorer maintenance and potential for various anomalies. Increasing time intervals have a positive impact, leading to reduced wear and tear; decreasing time intervals have a negative impact, leading to increased wear and tear. Similarly, if the time intervals fluctuate, a larger number of intervals greater than 0 has a greater impact and lower wear and tear; conversely, a larger number of intervals not greater than 0 has a smaller impact and higher wear and tear.

[0070] Step S140: Determine the comprehensive wear data based on the basic wear data and the time interval trend influence data, and determine the lock equipment maintenance reminder data based on the comprehensive wear data and the preset wear threshold.

[0071] In this embodiment of the application, the calculation method for the comprehensive wear data includes:

[0072] W = F × (1 + Q)

[0073] In the formula, W represents the overall wear rate data, F represents the basic wear rate data, and Q represents the time interval trend influence data.

[0074] Understandably, after obtaining the comprehensive wear value data, it is compared with the preset wear threshold. If the comprehensive wear value data is not less than the preset wear threshold, the lock equipment maintenance prompt data indicates that maintenance needs to be performed in advance. Conversely, if the comprehensive wear value data is less than the preset wear threshold, the lock equipment maintenance prompt data indicates that normal periodic maintenance is required. It should be noted that after the last equipment maintenance, a preset maintenance date is set. If the lock equipment maintenance prompt data indicates that maintenance needs to be performed in advance, then maintenance needs to be performed before the preset maintenance date. Conversely, if the lock equipment maintenance prompt data indicates that normal periodic maintenance is required, then maintenance can be performed on the preset maintenance date.

[0075] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0076] Secondly, this application provides an automatic management and control system for the opening and closing of ship locks. For example... Figure 2As shown, the system includes: an acquisition module 210, used to acquire historical lock equipment management data and historical lock equipment maintenance time data; the historical lock equipment maintenance time data includes the time node data of each actual maintenance of the lock equipment; the historical lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data within a preset time period; the preset time period is the time period from the last actual maintenance of the lock equipment to the current time; an analysis module 220, used to analyze basic wear data based on the historical lock equipment management data; the basic wear data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data; a calculation module 230, used to calculate time interval trend impact data based on the historical lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between each actual maintenance of the lock equipment; and a determination module 240, used to determine comprehensive wear data based on the basic wear data and the time interval trend impact data, and determine lock equipment maintenance prompt data based on the comprehensive wear data and a preset wear threshold.

[0077] Furthermore, the analysis module 220 is further configured to analyze basic wear data based on the historical lock equipment management data; the basic wear data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision count data, including:

[0078] Calculate the equipment wear and tear impact data based on the historical equipment usage frequency data and the historical equipment usage time data;

[0079] The collision frequency difference is calculated based on the historical ship collision frequency data and the preset collision frequency threshold, and the collision wear degree impact data is calculated based on the collision frequency difference; the collision frequency difference is the difference between the historical ship collision frequency data and the preset collision frequency threshold.

[0080] The basic wear data is analyzed based on the equipment wear impact data and the collision wear impact data.

[0081] Furthermore, the analysis module 220 is further configured such that the calculation method for the basic wear data includes:

[0082]

[0083] In the formula, F is the basic wear and tear data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the collision number difference; where K1 and K2 are the preset first weight and preset second weight, respectively, and K1+K2=1.

[0084] Furthermore, the calculation module 230 is further configured such that the calculation method for the time interval trend influence data includes:

[0085] Given n time points, the data at the i-th time point is t. i The first time node data is the time node data closest to the current time, and the nth time node data is the time node data farthest from the current time.

[0086] Calculate n-1 time interval values ​​d1, ..., d n-1 Where, d1 = t1 - t2, ..., d n-1 =t n-1 -t n ;

[0087] Determine whether all values ​​are greater than 0 or all values ​​are not greater than 0;

[0088] If so, the calculation method for the influence of time interval trends on the data is as follows:

[0089] If not, then the calculation method for the influence of time interval trends on the data is as follows: Where x is the number of time interval values ​​greater than 0, and y is the number of time interval values ​​not greater than 0.

[0090] Furthermore, the determining module 240 is further configured such that the calculation method for the comprehensive wear data includes:

[0091] W = F × (1 + Q)

[0092] In the formula, W represents the overall wear rate data, F represents the basic wear rate data, and Q represents the time interval trend influence data.

[0093] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0094] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A method for automatically managing and controlling the opening and closing of a ship lock, characterized by, The method comprises: acquiring historical ship lock equipment management data and historical ship lock equipment maintenance time data; the historical ship lock equipment maintenance time data comprises time node data of each actual maintenance of the ship lock equipment; the historical ship lock equipment management data comprises historical equipment use frequency data, historical equipment use time data and historical ship collision frequency data in a preset time period; the preset time period is a time period between a time node of the last actual maintenance of the ship lock equipment and a current time; analyzing basic wear degree data according to the historical ship lock equipment management data; the basic wear degree data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision frequency data; calculating time interval trend influence data according to the historical ship lock equipment maintenance time data; the time interval trend influence data is associated with time interval data between the time node data of each actual maintenance of the ship lock equipment; determining comprehensive wear degree data according to the basic wear degree data and the time interval trend influence data, and determining ship lock equipment maintenance prompt data based on the comprehensive wear degree data and a preset wear degree threshold; the analyzing basic wear degree data according to the historical ship lock equipment management data; the basic wear degree data being associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision frequency data comprises: calculating equipment wear degree influence data according to the historical equipment use frequency data and the historical equipment use time data; calculating a collision frequency difference value according to the historical ship collision frequency data and a preset collision frequency threshold, and calculating collision wear degree influence data based on the collision frequency difference value; the collision frequency difference value is a difference value between the historical ship collision frequency data and the preset collision frequency threshold; analyzing the basic wear degree data according to the equipment wear degree influence data and the collision wear degree influence data; the calculation manner of the time interval trend influence data comprises: The n time node data are provided, and the i-th time node data is ; wherein the first time node data is the time node data closest to the current time, and the n-th time node data is the time node data farthest from the current time. calculating n-1 time interval values , ; wherein , ; determining whether all are greater than 0 or all are not greater than 0; If so, the time interval trend affects the way the data is calculated as ; If not, the time interval trend affects the way the data is calculated as, ; wherein, is the number of time interval values greater than 0, y is the number of time interval values not greater than 0. the calculation manner of the comprehensive wear degree data comprises: ； wherein is the comprehensive wear data, is the base wear data, is the time interval trend influence data.

2. The method of claim 1, wherein, the calculation manner of the basic wear degree data comprises: ； In the formula, is the basic abrasion degree data, is the historical equipment use frequency data, is the historical equipment use time data, is the collision frequency difference value; wherein, , is a preset first weight and a preset second weight, respectively, and, .

3. A ship lock opening and closing automatic management control system, characterized by, The method comprises: an acquisition module (210) configured to acquire historical ship lock equipment management data and historical ship lock equipment maintenance time data; the historical ship lock equipment maintenance time data comprises time node data of each actual maintenance of the ship lock equipment; the historical ship lock equipment management data comprises historical equipment use frequency data, historical equipment use time data and historical ship collision frequency data in a preset time period; the preset time period is a time period between a time node of the last actual maintenance of the ship lock equipment and a current time; an analysis module (220) configured to analyze basic wear degree data according to the historical ship lock equipment management data; the basic wear degree data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision frequency data; The computing module (230) is configured to calculate time interval trend influence data according to the historical ship lock equipment maintenance time data; the time interval trend influence data is associated with time interval data between each time node data of actual maintenance of the ship lock equipment; The determining module (240) is configured to determine comprehensive wear degree data according to the basic wear degree data and the time interval trend influence data, and determine ship lock equipment maintenance prompt data based on the comprehensive wear degree data and a preset wear degree threshold; The analysis module (220) is further configured to analyze basic wear degree data according to the historical ship lock equipment management data; the basic wear degree data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision frequency data, and includes: calculating equipment wear degree influence data according to the historical equipment use frequency data and the historical equipment use time data; calculating a collision frequency difference value according to the historical ship collision frequency data and a preset collision frequency threshold, and calculating collision wear degree influence data based on the collision frequency difference value; the collision frequency difference value is a difference value between the historical ship collision frequency data and the preset collision frequency threshold; analyzing the basic wear degree data according to the equipment wear degree influence data and the collision wear degree influence data; The computing module (230) is further configured to calculate the time interval trend influence data in the following manner: The n time node data are provided, and the i-th time node data is ; wherein the first time node data is the time node data closest to the current time, and the n-th time node data is the time node data farthest from the current time. calculating n-1 time interval values , ; wherein , ; determining whether all are greater than 0 or all are not greater than 0; If so, the time interval trend affects the way the data is calculated as ; If not, the time interval trend affects the way the data is calculated as, ; wherein, is the number of time interval values greater than 0, y is the number of time interval values not greater than 0; The determining module (240) is further configured to calculate the comprehensive wear degree data in the following manner: ； wherein is the comprehensive wear data, is the base wear data, is the time interval trend influence data.

4. The system of claim 3, wherein, The analysis module (220) is further configured to calculate the basic wear degree data in the following manner: ； In the formula, is the basic abrasion degree data, is the historical equipment use frequency data, is the historical equipment use time data, is the collision frequency difference value; wherein, , is a preset first weight and a preset second weight, respectively, and, .

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