Ship lock opening and closing automatic management control method and system

Abstract

The invention 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: 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 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 value; by adopting 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 particularly to a method and system for automatic management and control of lock opening and closing. Background Art

[0002] For lock equipment that can be automatically opened and closed, it needs to be regularly maintained to ensure the safety of its use and the safety of passing ships. During the use of lock equipment, it will not only be affected by the usage frequency and usage time of the equipment, but also by ship collisions, which are all factors that can cause wear and tear of the lock equipment. Based on the above situation, it is very important to analyze the usage of the lock and give maintenance reminders for the lock equipment to ensure the service life of the lock equipment. Summary of the Invention

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

[0004] In a first aspect, this application provides a method for automatic management and control of lock opening and closing. The method includes:

[0005] 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 times data within a preset time period; the preset time period is the time period between the time node of the last actual maintenance of the lock equipment and the current moment;

[0006] Analyze basic wear degree data according to the historical lock equipment management data; the basic wear degree data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision times data;

[0007] Calculate time interval trend influence data according to the historical lock equipment maintenance time data; the time interval trend influence data is associated with the time interval data between the time node data of each actual maintenance of the lock equipment;

[0008] Determine comprehensive wear degree data according to the basic wear degree data and the time interval trend influence data, and determine lock equipment maintenance reminder data based on the comprehensive wear degree data and a preset wear degree threshold.

[0009] Further, the analyzing basic wear degree data according to the historical lock equipment management data; the basic wear degree data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision times data includes:

[0010] Calculate the equipment wear degree impact data according to the historical equipment usage frequency data and the historical equipment usage time data;

[0011] Calculate the difference in the number of collisions according to the historical ship collision number data and the preset collision number threshold, and calculate the collision wear degree impact data based on the difference in the number of collisions; the difference in the number of collisions is the difference between the historical ship collision number data and the preset collision number threshold;

[0012] Analyze the basic wear degree data according to the equipment wear degree impact data and the collision wear degree impact data.

[0013] Further, the calculation method of the basic wear degree data includes:

[0014]

[0015] In the formula, F is the basic wear degree data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the difference in the number of collisions; where, K 1 , K 2 are the preset first weight and the preset second weight respectively, and, K 1 +K 2 =1.

[0016] Further, the calculation method of the time interval trend impact data includes:

[0017] There are n time node data, and the i-th time node data is t i ; where, the first time node data is the time node data closest to the current moment, and the n-th time node data is the time node data farthest from the current moment;

[0018] Calculate n - 1 time interval values d 1 , …, d n-1 ; where, d 1 =t 1 -t 2 , …, d n-1 =t n-1 -t n ;

[0019] Judge whether they are all greater than 0 or all not greater than 0;

[0020] If so, the calculation method of the time interval trend impact data is,

[0021] If not, the calculation method of the time interval trend impact data is, Among them, 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 of the comprehensive wear degree data includes:

[0023] W = F × (1 + Q)

[0024] In the formula, W is the comprehensive wear degree data, F is the basic wear degree data, and Q is the time interval trend influence data.

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

[0026] An acquisition module, 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 includes time node data for each actual maintenance of the ship lock equipment; the historical ship lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data, and historical ship collision times data within a preset time period; the preset time period is the time period between the time node of the last actual maintenance of the ship lock equipment and the current moment;

[0027] An analysis module, 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 usage frequency data, historical equipment usage time data, and historical ship collision times data;

[0028] A calculation module, 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 the time interval data between the time node data of each actual maintenance of the ship lock equipment;

[0029] A determination module, 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.

[0030] Furthermore, the analysis module is further configured to analyze the basic wear degree data according to the historical ship lock equipment management data; the basic wear degree data associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision times data includes:

[0031] Calculate equipment wear degree influence data according to the historical equipment usage frequency data and the historical equipment usage time data;

[0032] Calculate the difference in the number of collisions based on the historical ship collision count data and a preset collision count threshold, and calculate the collision wear degree impact data based on the difference in the number of collisions; the difference in the number of collisions is the difference between the historical ship collision count data and the preset collision count threshold.

[0033] Analyze the basic wear degree data based on the equipment wear degree impact data and the collision wear degree impact data.

[0034] Further, the analysis module is further configured such that the calculation method of the basic wear degree data includes:

[0035]

[0036] In the formula, F is the basic wear degree data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the difference in the number of collisions; where, K 1 , K 2 are the preset first weight and the preset second weight respectively, and, K 1 +K 2 =1.

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

[0038] There are n time node data, and the i-th time node data is t i ; where, the first time node data is the time node data closest to the current moment, and the n-th time node data is the time node data farthest from the current moment;

[0039] Calculate n - 1 time interval values d 1 , …, d n-1 ; where, d 1 =t 1 -t 2 , …, d n-1 =t n-1 -t n ;

[0040] Judge whether they are all greater than 0 or all not greater than 0;

[0041] If so, the calculation method of the time interval trend impact data is,

[0042] If not, the calculation method of the time interval trend impact data is, 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] Further, the determining module is further configured that the calculation method of the comprehensive wear degree data includes:

[0044] W = F×(1 + Q)

[0045] In the formula, W is the comprehensive wear degree data, F is the basic wear degree data, and Q is the time interval trend influence data.

[0046] It should be understood that the content described in the invention content part is not intended to limit the key or important features of the embodiments of the present application, nor to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In combination with the accompanying drawings and with reference to the following detailed description, the above and other features, advantages and aspects of the embodiments of the present application will become more obvious. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0048] Figure 1 shows a flowchart of a method for automatically managing and controlling the opening and closing of a ship lock in an embodiment of the present application;

[0049] Figure 2 shows a block diagram of a system for automatically managing and controlling the opening and closing of a ship lock in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without making creative efforts based on the embodiments in the present application belong to the scope of protection of the present application.

[0051] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0052] The present application provides a method and a system for automatically managing and controlling the opening and closing of a ship lock, which can extend the service life of the ship lock.

[0053] In a first aspect, the present application provides a method for automatically managing and controlling the opening and closing of a ship lock. Referring to 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 time node data for 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 times data within a preset time period; the preset time period is the time period between the time node of the last actual maintenance of the lock equipment and the current moment.

[0055] In the embodiment of the present application, the historical equipment usage frequency data is the frequency of use of the lock equipment within the preset time period, and 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; and the historical ship collision times data is the number of times a ship collides with the lock equipment. These data can be obtained from the lock equipment usage records, and there are various specific acquisition methods, which will not be elaborated here.

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

[0057] In the embodiment of the present application, analyzing the basic wear degree data based on the historical lock equipment management data specifically includes calculating equipment wear degree influence data according to the historical equipment usage frequency data and the historical equipment usage time data; calculating a collision times difference according to the historical ship collision times data and a preset collision times threshold, and calculating collision wear degree influence data based on the collision times difference; the collision times difference is the difference between the historical ship collision times data and the preset collision times threshold; analyzing the basic wear degree data according to the equipment wear degree influence data and the collision wear degree influence data.

[0058] Among them, the calculation method of the basic wear degree data includes:

[0059]

[0060] In the formula, F is the basic wear degree data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the collision times difference; where, K 1 、K 2 are the preset first weight and the preset second weight respectively, and, K 1 +K 2 =1.

[0061] It can be understood that whether it is the wear of mechanical parts caused by the usage frequency of the equipment or the environmental wear caused by the usage time of the equipment, they are all conventional wear; while for ship collisions, in essence, it is a low-probability event. Therefore, here an activation function is used to characterize the excessive impact brought by the difference in the number of ship collisions exceeding a predetermined number; for example, if the collision threshold is 10 times, the impact brought by 11 collisions is huge, but the impact brought by 12 collisions is not as large as that of 11 collisions. Therefore, the activation function is used to characterize the impact brought by this data.

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

[0063] In the embodiment of the present application, the calculation method of the time interval trend impact data includes:

[0064] Suppose there are n time node data, and the i-th time node data is t i ; where the first time node data is the time node data closest to the current moment, and the n-th time node data is the time node data farthest from the current moment;

[0065] Calculate n - 1 time interval values d 1 , …, d n-1 ; where d 1 =t 1 -t 2 , …, d n-1 =t n-1 -t n ;

[0066] Judge whether they are all greater than 0 or all not greater than 0;

[0067] If so, the calculation method of the time interval trend impact data is

[0068] If not, the calculation method of the time interval trend impact data is 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] It can be understood that for the actual maintenance time nodes, there are various specific situations. However, from the overall time sequence, the longer the time interval, the better the maintenance of the lock equipment. On the contrary, it indicates that the maintenance of the lock equipment is poor, and there may be various abnormal situations in between. If the time interval value shows an increasing trend, the impact is positive, and the final wear value decreases. If the time interval value shows a decreasing trend, the impact is negative, and the final wear value increases. Similarly, if the time interval value does not show a single trend but a fluctuating trend, the larger the number of time interval values greater than 0, the greater the impact, and the smaller the final wear value. On the contrary, the larger the number of time interval values not greater than 0, the smaller the impact, and the larger the final wear value.

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

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

[0072] W = F×(1 + Q)

[0073] In the formula, W is the comprehensive wear data, F is the basic wear data, and Q is the time interval trend impact data.

[0074] It can be understood that 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 is that maintenance needs to be carried out in advance. On the contrary, if the comprehensive wear value data is less than the preset wear threshold, the lock equipment maintenance prompt data is to carry out periodic maintenance normally. It should be noted that after the last equipment maintenance, the next preset maintenance date will be set. If the lock equipment maintenance prompt data is that maintenance needs to be carried out in advance, it is necessary to carry out maintenance before the preset maintenance date. On the contrary, if the lock equipment maintenance prompt data is to carry out periodic maintenance normally, it can be carried out on the preset maintenance date.

[0075] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the embodiments of the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0076] A second aspect of the present application provides an automatic management and control system for the opening and closing of a ship lock. As Figure 2 shown, the system includes 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 includes time node data for each actual maintenance of the ship lock equipment; the historical ship lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data, and historical ship collision times data within a preset time period; the preset time period is the time period between the time node of the last actual maintenance of the ship lock equipment and the current moment; an analysis module 220, configured to analyze basic wear degree data based on the historical ship lock equipment management data; the basic wear degree data is associated with the historical equipment usage frequency data, historical equipment usage time data, and historical ship collision times data; a calculation module 230, configured to calculate time interval trend impact data based on the historical ship lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between the time node data of each actual maintenance of the ship lock equipment; a determination module 240, configured to determine comprehensive wear degree data based on the basic wear degree data and the time interval trend impact data, and determine ship lock equipment maintenance prompt data based on the comprehensive wear degree data and a preset wear degree threshold.

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

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

[0079] Calculate the difference in the number of collisions based on the historical ship collision times data and a preset number of collision thresholds, and calculate collision wear degree impact data based on the difference in the number of collisions; the difference in the number of collisions is the difference between the historical ship collision times data and the preset number of collision thresholds;

[0080] Analyze the basic wear degree data based on the equipment wear degree impact data and the collision wear degree impact data.

[0081] Further, the analysis module 220 is further configured to, the calculation method of the basic wear degree data includes:

[0082]

[0083] Wherein, F is the basic wear degree data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the difference in the number of collisions; among them, K 1 , K 2 are respectively the preset first weight and the preset second weight, and, K 1 +K 2 = 1.

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

[0085] Suppose there are n time node data, and the i-th time node data is t i ; among them, the first time node data is the time node data closest to the current moment, and the n-th time node data is the time node data farthest from the current moment;

[0086] Calculate n - 1 time interval values d 1 , …, d n-1 ; among them, d 1 = t 1 - t 2 , …, d n-1 = t n-1 - t n ;

[0087] Judge whether they are all greater than 0 or all not greater than 0;

[0088] If so, the calculation method of the time interval trend influence data is,

[0089] If not, the calculation method of the time interval trend influence data is, 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 determination module 240 is further configured such that the calculation method of the comprehensive wear degree data includes:

[0091] W = F × (1 + Q)

[0092] Wherein, W is the comprehensive wear degree data, F is the basic wear degree data, and Q is the time interval trend influence data.

[0093] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the described device can refer to the corresponding process in the foregoing method embodiment, and will not be elaborated herein.

[0094] The above description is only a preferred embodiment of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the foregoing disclosure concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) disclosed in the present application that have similar functions.

Claims

1. A method for automatically managing and controlling the opening and closing of a ship lock, characterized in that: include: Obtain historical ship lock equipment management data and historical ship lock equipment maintenance time data; the historical ship lock equipment maintenance time data includes the time node data of each actual maintenance of the ship lock equipment; the historical ship lock equipment management data includes historical equipment usage frequency data, historical equipment usage time data and historical ship collision number data within a preset time period; the preset time period is the time period between the time node of the last actual maintenance of the ship lock equipment and the current time; Analyze basic wear data according to the historical ship lock equipment management data; the basic wear data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision number data; Calculate the time interval trend impact data according to the historical ship lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between the time node data of each actual maintenance of the ship lock equipment; Comprehensive wear data is determined according to the basic wear data and the time interval trend impact data, and ship lock equipment maintenance prompt data is determined based on the comprehensive wear data and a preset wear threshold.

2. The method according to claim 1, characterized in that The basic wear data is analyzed according to the historical ship lock equipment management data; the basic wear data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision number data, including: Calculate device wear impact data based on the historical device usage frequency data and the historical device usage time data; Calculating a collision number difference according to 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; The basic wear data is analyzed according to the equipment wear impact data and the collision wear impact data.

3. The method according to claim 2, characterized in that The calculation method of the basic wear data includes: In the formula, F is the basic wear data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the difference in the number of collisions; K1 and K2 are the preset first weight and the preset second weight respectively, and K1+K2=1.

4. The method according to claim 3, characterized in that The calculation method of the time interval trend impact data includes: Suppose there are n time node data, the i-th time node data is t i ; Among them, the first time node data is the time node data closest to the current moment, and the nth time node data is the time node data farthest from the current moment; Calculate n-1 time interval values ​​d1, ..., d n-1 ; where d1 = t1 - t2, ..., d n-1 =t n-1 -t n ; Determine whether they are all greater than 0 or not greater than 0; If so, the time interval trend impact data is calculated as, If not, the time interval trend impact data is calculated as, 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.

5. The method according to claim 4, characterized in that The calculation method of the comprehensive wear data includes: W=F×(1+Q) Where W is the comprehensive wear data, F is the basic wear data, and Q is the time interval trend impact data.

6. An automatic management and control system for ship lock opening and closing, characterized in that: include: The acquisition module (210) is used to acquire historical ship lock equipment management data and historical ship lock equipment maintenance time data; the historical ship lock equipment maintenance time data includes time node data of each actual maintenance of the ship lock equipment; the historical ship lock equipment management data includes historical equipment use frequency data, historical equipment use time data and historical ship collision number data within a preset time period; the preset time period is the time period between the time node of the last actual maintenance of the ship lock equipment and the current time; An analysis module (220) is used to analyze basic wear data according to the historical ship lock equipment management data; the basic wear data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision number data; A calculation module (230) is used to calculate time interval trend impact data based on the historical ship lock equipment maintenance time data; the time interval trend impact data is associated with the time interval data between the time node data of each actual maintenance of the ship lock equipment; A determination module (240) is used to determine comprehensive wear data based on the basic wear data and the time interval trend impact data, and to determine ship lock equipment maintenance prompt data based on the comprehensive wear data and a preset wear threshold.

7. The system according to claim 6, characterized in that The analysis module (220) is further configured to analyze basic wear data according to the historical ship lock equipment management data; the basic wear data is associated with the historical equipment use frequency data, the historical equipment use time data and the historical ship collision number data, including: Calculate device wear impact data based on the historical device usage frequency data and the historical device usage time data; Calculating a collision number difference according to 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; The basic wear data is analyzed according to the equipment wear impact data and the collision wear impact data.

8. The system according to claim 7, characterized in that The analysis module (220) is further configured such that the calculation method of the basic wear data includes: In the formula, F is the basic wear data, P is the historical equipment usage frequency data, T is the historical equipment usage time data, and α is the difference in the number of collisions; K1 and K2 are the preset first weight and the preset second weight respectively, and K1+K2=1.

9. The system according to claim 8, characterized in that The calculation module (230) is further configured to calculate the time interval trend impact data in a manner including: Suppose there are n time node data, the i-th time node data is t i ; Among them, the first time node data is the time node data closest to the current moment, and the nth time node data is the time node data farthest from the current moment; Calculate n-1 time interval values ​​d1, ..., d n-1 ; where d1 = t1 - t2, ..., d n-1 =t n-1 -t n ; Determine whether they are all greater than 0 or not greater than 0; If so, the time interval trend impact data is calculated as, If not, the time interval trend impact data is calculated as, 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.

10. The system according to claim 9, characterized in that The determination module (240) is further configured such that the calculation method of the comprehensive wear data includes: W=F×(1+Q) Where W is the comprehensive wear data, F is the basic wear data, and Q is the time interval trend impact data.

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