A smart logistics all-in-one card control and management system

Abstract

The present invention relates to the technical field of unmanned logistics control management, and relates to a smart logistics one-card control management system, including an order information acquisition module, a reservation time allocation module, a handling vehicle identification module, a vehicle route analysis module, a vehicle weighing analysis module, a vehicle screening analysis module, and a database. By acquiring the order information and material information of each reservation order corresponding to the target factory building within a set period, the handling time of each reservation order corresponding to the target factory building within the set period is allocated, and further, the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period is analyzed, and corresponding screening operations are performed on each handling vehicle in each reservation order corresponding to the target factory building within the set period, effectively improving the logistics operation efficiency. At the same time, it can also avoid the phenomena of frequent vehicle order chaos, material loss or misloading in the factory area, and protect the interests of the enterprise.

Description

Technical Field

[0001] The present invention belongs to the technical field of unmanned control and management of logistics, and relates to a smart logistics one-card control and management system. Background Art

[0002] Smart logistics refers to a modern operation mode that realizes refined, dynamic, and visual management of all links of logistics through intelligent software and hardware, Internet of Things, big data and other intelligent technology means. The establishment of the logistics management system is an important basic work of an enterprise, and the enterprise metering management relying on informatization and process construction plays an important basic role in the overall logistics management system of the enterprise, thus highlighting the importance of metering and weighing management in logistics.

[0003] In the existing logistics weighing management system at the present stage, in the in-plant logistics link, most are through manual shift duty, and the normal operation of the weighing system is realized by setting full-time personnel in different positions, which cannot meet the new requirements at the present stage and has certain limitations. It can be seen that there are still the following deficiencies in the current management of the weighing system:

[0004] 1. The management of the current weighing system cannot effectively improve the logistics operation efficiency, and is prone to problems such as chaotic vehicle management or a jumbled mix of vehicles, resulting in frequent phenomena such as chaotic vehicle order, material loss or misloading in the factory area, directly affecting the interests of the enterprise and damaging the enterprise image;

[0005] 2. The management of the current weighing system increases the labor used, resulting in an increase in costs, and is prone to congestion caused by a large number of vehicles entering the factory at the same time, thus reducing the factory efficiency, unable to optimize and rationally utilize human resources, and also causing a large manual operation task and intensity, increasing the risk of major safety accidents, and unable to improve the accuracy of vehicle weighing analysis. Summary of the Invention

[0006] In view of the above problems existing in the prior art, the present invention provides a smart logistics one-card control and management system for solving the above technical problems.

[0007] In order to achieve the above object and other objects, the technical solution adopted by the present invention is as follows: The present invention provides a smart logistics one-card control and management system, which includes an order information acquisition module, a reservation time allocation module, a handling vehicle identification module, a vehicle route analysis module, a vehicle weighing analysis module, a vehicle screening analysis module, and a database;

[0008] The order information acquisition module is used to log in to the unattended system, and then acquire the order information and material information of each reservation order corresponding to the target factory building within a set period;

[0009] The appointment time allocation module is used to allocate the handling time for each appointment order corresponding to the target workshop within a set period;

[0010] The handling vehicle identification module is used to identify each handling vehicle in each appointment order corresponding to the target workshop within a set period;

[0011] The vehicle route analysis module is used to divide the target workshop into each sub - workshop area according to the fine - grained grid division method, and then analyze and obtain the driving routes of each handling vehicle in each appointment order corresponding to the target workshop within a set period;

[0012] The vehicle weighing analysis module is used to monitor the driving routes of each handling vehicle in each appointment order corresponding to the target workshop within a set period, and thus analyze and obtain the weighing compliance analysis coefficient of each handling vehicle in each appointment order corresponding to the target workshop within a set period;

[0013] The vehicle screening analysis module is used to perform corresponding screening operations on each handling vehicle in each appointment order corresponding to the target workshop within a set period according to the weighing compliance analysis coefficient of each handling vehicle in each appointment order corresponding to the target workshop within a set period;

[0014] The database is used to store the starting handling time corresponding to the target workshop and the average handling time corresponding to the unit tonnage of materials, used to store the number of abnormal behavior characteristics of licensed drivers during weighing, and also used to store the vehicle reference weighing compliance analysis coefficient.

[0015] Optionally, the order information of each appointment order corresponding to the target workshop within a set period includes the order responsible person's account number and the order appointment time;

[0016] The material information of each appointment order corresponding to the target workshop within a set period includes the vehicle information of the handling vehicle and the handling tonnage;

[0017] The vehicle information of each handling vehicle in each appointment order corresponding to the target workshop within a set period includes the license plate number and the maximum load of each handling vehicle.

[0018] Optionally, the process of allocating the handling time for each appointment order corresponding to the target workshop within a set period is as follows:

[0019] According to the material information of each appointment order corresponding to the target workshop within a set period, obtain the handling tonnage of each appointment order corresponding to the target workshop within a set period;

[0020] Based on the vehicle information of each handling vehicle in each appointment order corresponding to the target workshop within a set period, obtain the maximum load of each handling vehicle in each appointment order corresponding to the target workshop within a set period, and calculate the expected handling tonnage of each handling vehicle in each appointment order corresponding to the target workshop within a set period;

[0021] Compare the handling tonnage of each reservation order corresponding to the target workshop within the set period with the estimated handling tonnage of the handling vehicles for each reservation order corresponding to the target workshop within the set period. If the handling tonnage of a certain reservation order corresponding to the target workshop within the set period is less than or equal to the estimated handling tonnage of the handling vehicle for a certain reservation order corresponding to the target workshop within the set period, mark this order as a target order, and based on the order information of each reservation order corresponding to the target workshop within the set period, obtain the order reservation time of each target order corresponding to the target workshop within the set period, and calculate the handling time of each target order corresponding to the target workshop within the set period based on this;

[0022] If the handling tonnage of a certain reservation order corresponding to the target workshop within the set period is greater than the estimated handling tonnage of the handling vehicle for a certain reservation order corresponding to the target workshop within the set period, mark this order as a warning order, thus obtaining each warning order corresponding to the target workshop within the set period, extract the account number of the order responsible person for each warning order corresponding to the target workshop within the set period based on the order information of each reservation order corresponding to the target workshop within the set period, and feedback each warning order corresponding to the target workshop within the set period to the account number of the order responsible person for each warning order corresponding to the target workshop within the set period and display "Vehicle load does not match".

[0023] Optionally, for calculating the handling time of each target order corresponding to the target workshop within the set period, the calculation process is specifically as follows:

[0024] Arrange the order reservation times of each target order corresponding to the target workshop within the set period in ascending order, thus obtaining the time sequence of each target order corresponding to the target workshop within the set period, and number them according to the time sequence of each target order corresponding to the target workshop within the set period, numbered as 1, 2,... i,... j in sequence;

[0025] Based on the handling tonnage of each reservation order corresponding to the target workshop within the set period, obtain the handling tonnage of each target order corresponding to the target workshop within the set period, and use the calculation formula to calculate the handling time of each target order corresponding to the target workshop within the set period , where represents the starting handling time corresponding to the target workshop stored in the database, represents the handling tonnage of each target order corresponding to the target workshop within the set period, i represents the number corresponding to each target order, i = 1, 2,..., j, represents the average handling time corresponding to the unit tonnage of materials stored in the database, represents the set correction time threshold.

[0026] Optionally, the transport vehicles in each reservation order corresponding to the target plant within the set period are identified, and the specific identification process is as follows:

[0027] The RFID reader installed at the door of the target factory can read the license plate number of each vehicle in the target factory within the set period;

[0028] According to the handling time of each target order of the target plant within the set period, the handling time of each scheduled order of the target plant within the set period is obtained;

[0029] According to the vehicle information of the transport vehicles of each scheduled order corresponding to the target plant within the set period, the license plate number of each transport vehicle in each scheduled order corresponding to the target plant within the set period is obtained;

[0030] Get the current time and compare it with the handling time of each scheduled order of the target plant within the set period. If the time comparison is consistent, compare the license plate number of each vehicle corresponding to the target plant within the set period with the license plate number of each handling vehicle in each scheduled order corresponding to the target plant within the set period. If the license plate number comparison is consistent, the vehicle corresponding to the target plant within the set period will be allowed to enter the plant. If the license plate number comparison is inconsistent, the vehicle corresponding to the target plant within the set period will be dissuaded by voice;

[0031] If the time comparison is inconsistent, the vehicle corresponding to the target factory within the set period will be dissuaded by voice.

[0032] Optionally, the analysis obtains the driving routes of each transport vehicle in each reservation order corresponding to the target factory building within a set period, and the analysis process includes the following steps:

[0033] Select a target transport vehicle corresponding to the target plant within the set period from each transport vehicle in each reservation order corresponding to the target plant within the set period;

[0034] According to the monitoring instruments deployed in each factory building area, the video of each factory building area is collected, and the video corresponding to each factory building area in the direction corresponding to the target factory building is extracted according to the driving direction of the target handling vehicle corresponding to the target factory building within the set period. If there is no target handling vehicle corresponding to the target factory building within the set period in a factory building area, the factory building area is marked as an unmanned sub-area. If there is a target handling vehicle corresponding to the target factory building within the set period in a factory building area, the factory building area is marked as a monitoring sub-area, and then the video of each monitoring sub-area corresponding to the target handling vehicle corresponding to the target factory building within the set period is obtained;

[0035] Obtain the appearance time of each monitoring sub - area corresponding to the target handling vehicle in the target factory building within the set period from the videos, and then sort each monitoring sub - area corresponding to the target handling vehicle in the target factory building within the set period according to the appearance time, so as to obtain the positions of each monitoring sub - area corresponding to the target handling vehicle in the target factory building within the set period, and thus obtain the driving route of the target handling vehicle in the target factory building within the set period;

[0036] Analyze and obtain the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period in the same way as the analysis method of the driving route of the target handling vehicle in the target factory building within the set period.

[0037] Optionally, the monitoring of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period is as follows:

[0038] Analyze and integrate the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period to obtain the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period;

[0039] Obtain the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period, focus on the driver in the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and then identify each behavior characteristic of the driver in the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period;

[0040] Compare each behavior characteristic of the driver in the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period with each abnormal weighing behavior characteristic stored in the database, and thus obtain the number of abnormal weighing behavior characteristics of the driver corresponding to each handling vehicle in each reservation order corresponding to the target factory building within the set period.

[0041] Optionally, the analysis of obtaining the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period is as follows:

[0042] Based on the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period, extract the pictures of the handling vehicles weighing in each reservation order corresponding to the target factory building within the set period, and obtain the distance between each handling vehicle and the following vehicle in each reservation order corresponding to the target factory building within the set period, and record it as , where y represents the number corresponding to each reservation order, y = 1, 2,......a, and b represents the number corresponding to each handling vehicle, b = 1, 2,......p;

[0043] And import the weighing pictures of each handling vehicle in each reservation order corresponding to the target factory building within the set period into the rectangular coordinate system, thereby obtaining the weighing center point coordinates and the center point coordinates of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and marking them respectively as and ;

[0044] Through the calculation formula Calculate the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period, where represents the number of abnormal weighing behavior characteristics of the driver corresponding to the b-th handling vehicle in the y-th reservation order corresponding to the target factory building within the set period, represents the number of permitted abnormal weighing behavior characteristics of the driver stored in the database, represents the permitted coordinate difference between the set weighing center point coordinates and the vehicle center point coordinates, represents the set permitted vehicle spacing difference, represents the best spacing between the vehicle and the following vehicle, and c1 and c2 respectively represent the coefficient factors corresponding to the center coordinate point and the vehicle spacing.

[0045] Optionally, the corresponding screening operation for each handling vehicle in each reservation order corresponding to the target factory building within the set period is as follows:

[0046] Compare the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period with the vehicle reference weighing compliance analysis coefficient stored in the database. If the weighing compliance analysis coefficient of a certain handling vehicle in a certain reservation order corresponding to the target factory building within the set period is less than the vehicle reference weighing compliance analysis coefficient, then a red warning is issued for this vehicle, and this vehicle is required to perform re-weighing processing.

[0047] As described above, a smart logistics all-in-one card control and management system provided by the present invention has at least the following beneficial effects: (1) The smart logistics all-in-one card control and management system provided by the present invention obtains the order information and material information of each reservation order corresponding to the target factory building within a set period, and then allocates the handling time of each reservation order corresponding to the target factory building within the set period. Further analysis is carried out to obtain the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and corresponding screening operations are carried out on each handling vehicle in each reservation order corresponding to the target factory building within the set period, effectively improving the logistics operation efficiency, avoiding problems such as chaotic vehicle management or a jumbled mix of vehicles, and at the same time avoiding phenomena such as chaotic vehicle order, material loss or misloading often occurring within the factory area, protecting the interests of the enterprise and maintaining the enterprise image.

[0048] The embodiment of the present invention reduces the use of manpower, reduces the economic cost of the factory building to a certain extent, avoids congestion caused by a large number of vehicles entering the factory at the same time, improves the vehicle departure efficiency, effectively optimizes and rationally utilizes human resources, reduces the risk of major safety accidents, and effectively improves the accuracy of vehicle weighing analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0050] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0051] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claim book, they should all belong to the protection scope of the present invention.

[0052] Please refer to Figure 1 As shown, a smart logistics all-in-one card control and management system includes an order information acquisition module, a reservation time allocation module, a handling vehicle identification module, a vehicle route analysis module, a vehicle weighing analysis module, a vehicle screening analysis module, and a database.

[0053] The reservation time allocation module is connected to the order information acquisition module and the handling vehicle identification module. The vehicle route analysis module is connected to the handling vehicle identification module and the vehicle weighing analysis module. The vehicle screening analysis module is connected to the vehicle weighing analysis module. The database is connected to the reservation time allocation module, the vehicle weighing analysis module, and the vehicle screening analysis module.

[0054] The order information acquisition module is used to log in to the unattended system, and then obtain the order information and material information of each reservation order corresponding to the target factory building within a set period.

[0055] It should be noted that the order information of each reservation order corresponding to the target factory building within the set period includes the order responsible person's account number and the order reservation time.

[0056] The material information of each reservation order corresponding to the target factory building within the set period includes the vehicle information of the handling vehicle and the handling tonnage.

[0057] The vehicle information of the handling vehicle for each reservation order corresponding to the target factory building within the set period includes the license plate number and the maximum load of each handling vehicle.

[0058] The reservation time allocation module is used to allocate the handling time of each reservation order corresponding to the target factory building within the set period.

[0059] It should be noted that the process of allocating the handling time of each reservation order corresponding to the target factory building within the set period is as follows:

[0060] According to the material information of each reservation order corresponding to the target factory building within the set period, the handling tonnage of each reservation order corresponding to the target factory building within the set period is obtained.

[0061] Based on the vehicle information of the handling vehicle for each reservation order corresponding to the target factory building within the set period, the maximum load of each handling vehicle for each reservation order corresponding to the target factory building within the set period is obtained, and the expected handling tonnage of the handling vehicle for each reservation order corresponding to the target factory building within the set period is calculated through calculation.

[0062] In a specific embodiment, the calculation process of obtaining the expected handling tonnage of the handling vehicle for each reservation order corresponding to the target factory building within the set period is as follows:

[0063] The expected handling tonnage of the handling vehicle for each reservation order corresponding to the target factory building within the set period is calculated. where represents the maximum load of the b-th handling vehicle for the y-th reservation order corresponding to the target factory building within the set period.

[0064] Compare the handling tonnage of each reservation order corresponding to the target factory building within the set period with the expected handling tonnage of the handling vehicles for each reservation order corresponding to the target factory building within the set period. If the handling tonnage of a certain reservation order corresponding to the target factory building within the set period is less than or equal to the expected handling tonnage of the handling vehicle for a certain reservation order corresponding to the target factory building within the set period, mark this order as the target order, and based on the order information of each reservation order corresponding to the target factory building within the set period, obtain the order reservation time of each target order corresponding to the target factory building within the set period, and calculate the handling time of each target order corresponding to the target factory building within the set period based on this;

[0065] If the handling tonnage of a certain reservation order corresponding to the target factory building within the set period is greater than the expected handling tonnage of the handling vehicle for a certain reservation order corresponding to the target factory building within the set period, mark this order as a warning order, thus obtaining each warning order corresponding to the target factory building within the set period, and extract the account numbers of the order responsible persons for each warning order corresponding to the target factory building within the set period based on the order information of each reservation order corresponding to the target factory building within the set period, and feedback each warning order corresponding to the target factory building within the set period to the account numbers of the order responsible persons for each warning order corresponding to the target factory building within the set period and display "Vehicle load does not match".

[0066] It should be noted that the calculation of the handling time of each target order corresponding to the target factory building within the set period is as follows:

[0067] Arrange the order reservation times of each target order corresponding to the target factory building within the set period in ascending order, thus obtaining the time sequence of each target order corresponding to the target factory building within the set period, and number them according to the time sequence of each target order corresponding to the target factory building within the set period, numbered 1, 2,... i,... j in sequence;

[0068] Based on the handling tonnage of each reservation order corresponding to the target factory building within the set period, obtain the handling tonnage of each target order corresponding to the target factory building within the set period, and use the calculation formula to calculate the handling time of each target order corresponding to the target factory building within the set period , where represents the starting handling time corresponding to the target factory building stored in the database, represents the handling tonnage of each target order corresponding to the target factory building within the set period, i represents the number corresponding to each target order, i = 1, 2,..., j, represents the average handling time corresponding to the unit tonnage of materials stored in the database, represents the set correction time threshold.

[0069] The transport vehicle identification module is used to identify each transport vehicle in each reservation order corresponding to the target factory within a set period.

[0070] It should be noted that the specific identification process of each transport vehicle in each reservation order corresponding to the target plant within the set period is as follows:

[0071] The RFID reader installed at the door of the target factory can read the license plate number of each vehicle in the target factory within the set period;

[0072] According to the handling time of each target order of the target plant within the set period, the handling time of each scheduled order of the target plant within the set period is obtained;

[0073] According to the vehicle information of the transport vehicles of each scheduled order corresponding to the target plant within the set period, the license plate number of each transport vehicle in each scheduled order corresponding to the target plant within the set period is obtained;

[0074] Get the current time and compare it with the handling time of each scheduled order of the target plant within the set period. If the time comparison is consistent, compare the license plate number of each vehicle corresponding to the target plant within the set period with the license plate number of each handling vehicle in each scheduled order corresponding to the target plant within the set period. If the license plate number comparison is consistent, the vehicle corresponding to the target plant within the set period will be allowed to enter the plant. If the license plate number comparison is inconsistent, the vehicle corresponding to the target plant within the set period will be dissuaded by voice;

[0075] If the time comparison is inconsistent, the vehicle corresponding to the target factory within the set period will be dissuaded by voice.

[0076] The vehicle route analysis module is used to divide the target factory into factory areas in a fine-grained grid manner, and then analyze and obtain the driving routes of each transport vehicle in each reservation order corresponding to the target factory within a set period.

[0077] It should be noted that the analysis obtains the driving routes of each transport vehicle in each reservation order corresponding to the target plant within the set period, and the analysis process includes the following steps:

[0078] Select a target transport vehicle corresponding to the target plant within the set period from each transport vehicle in each reservation order corresponding to the target plant within the set period;

[0079] Video acquisition is carried out for each sub - area of the factory building according to the monitoring instruments arranged in each sub - area of the factory building. According to the driving direction of the target handling vehicle corresponding to the target factory building within the set period, the videos corresponding to each sub - area of the factory building in the corresponding direction of the target factory building are extracted. If there is no appearance of the target handling vehicle corresponding to the target factory building within the set period in a certain sub - area of the factory building, then this sub - area of the factory building is marked as an unoccupied sub - area. If there is an appearance of the target handling vehicle corresponding to the target factory building within the set period in a certain sub - area of the factory building, then this sub - area of the factory building is marked as a monitored sub - area. Furthermore, the videos corresponding to each monitored sub - area of the target handling vehicle corresponding to the target factory building within the set period are obtained.

[0080] In a specific embodiment, assume that the driving direction of the target handling vehicle corresponding to the target factory building within the set period is to the left of a certain sub - area of the factory building. Then, video frame extraction is performed on the right side of the certain sub - area of the factory building subsequently.

[0081] The appearance times of the target handling vehicle corresponding to the target factory building in each monitored sub - area within the set period are obtained from the videos of the target handling vehicle corresponding to the target factory building in each monitored sub - area within the set period. And based on the appearance times of the target handling vehicle corresponding to the target factory building in each monitored sub - area within the set period, each monitored sub - area of the target handling vehicle corresponding to the target factory building within the set period is sorted, and the positions of each monitored sub - area of the target handling vehicle corresponding to the target factory building within the set period are obtained. Thus, the driving route of the target handling vehicle corresponding to the target factory building within the set period is obtained.

[0082] According to the same analysis method of the driving route of the target handling vehicle corresponding to the target factory building within the set period, the driving routes of the handling vehicles in each reservation order corresponding to the target factory building within the set period are analyzed and obtained.

[0083] The vehicle weighing analysis module is used to monitor the driving routes of the handling vehicles in each reservation order corresponding to the target factory building within the set period, and thus analyze and obtain the weighing compliance analysis coefficients of the handling vehicles in each reservation order corresponding to the target factory building within the set period.

[0084] It should be noted that the monitoring of the driving routes of the handling vehicles in each reservation order corresponding to the target factory building within the set period is as follows:

[0085] The videos of the driving routes of the handling vehicles in each reservation order corresponding to the target factory building within the set period are parsed and consolidated into the videos of the driving routes of the handling vehicles in each reservation order corresponding to the target factory building within the set period.

[0086] Obtain the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period, focus the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period on the driver, and then identify each behavior characteristic of the driver in the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period;

[0087] Compare each behavior characteristic of the driver in the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period with each weighing abnormal behavior characteristic stored in the database, and thus obtain the number of weighing abnormal behavior characteristics of the driver corresponding to each handling vehicle in each reservation order corresponding to the target factory building within the set period.

[0088] In a specific embodiment, each weighing abnormal behavior characteristic includes but is not limited to adding water to the water tank and hiding items to press the scale.

[0089] In a specific embodiment, the process of obtaining the number of weighing abnormal behavior characteristics of the driver corresponding to each handling vehicle in each reservation order corresponding to the target factory building within the set period is as follows:

[0090] If a certain behavior characteristic of the driver in the video of the driving route of a certain handling vehicle in a certain reservation order corresponding to the target factory building within the set period is consistent with a certain weighing abnormal behavior characteristic after comparison, then mark this behavior characteristic as the weighing abnormal behavior characteristic of the driver.

[0091] It should be noted that the analysis of obtaining the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period is as follows:

[0092] Based on the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period, then extract the weighing pictures of each handling vehicle in each reservation order corresponding to the target factory building within the set period from them, obtain the distance between each handling vehicle in each reservation order corresponding to the target factory building within the set period and the following vehicle, and denote it as , where y represents the number corresponding to each reservation order, y = 1, 2,......a, and b represents the number corresponding to each handling vehicle, b = 1, 2,......p;

[0093] And import the weighing pictures of each handling vehicle in each reservation order corresponding to the target factory building within the set period into a rectangular coordinate system, thereby obtaining the weighing center point coordinates and the center point coordinates of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and marking them as and ;

[0094] Through the calculation formula Calculate the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period , where represents the number of abnormal weighing behavior characteristics of the driver corresponding to the b-th handling vehicle in the y-th reservation order corresponding to the target factory building within the set period represents the number of abnormal weighing behavior characteristics of the licensed driver stored in the database represents the permitted coordinate difference between the set weighing center point coordinates and the vehicle center point coordinates represents the set permitted vehicle spacing difference represents the optimal spacing between the vehicle and the following vehicle, and c1 and c2 respectively represent the coefficient factors corresponding to the center coordinate point and the vehicle spacing

[0095] In a specific embodiment takes a value of 1

[0096] The embodiment of the present invention reduces the use of manpower, reduces the economic cost of the factory building to a certain extent, avoids the congestion caused by a large number of vehicles entering the factory at the same time, improves the vehicle leaving factory efficiency, effectively optimizes and rationally utilizes human resources, reduces the risk of major safety accidents, and effectively improves the accuracy of vehicle weighing analysis

[0097] The vehicle screening and analysis module is used to perform corresponding screening operations on each handling vehicle in each reservation order corresponding to the target factory building within the set period according to the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period

[0098] It should be noted that the corresponding screening operations on each handling vehicle in each reservation order corresponding to the target factory building within the set period are as follows

[0099] Compare the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period with the vehicle reference weighing compliance analysis coefficient stored in the database. If the weighing compliance analysis coefficient of a certain handling vehicle in a certain reservation order corresponding to the target factory building within the set period is less than the vehicle reference weighing compliance analysis coefficient, a red warning is given to this vehicle and it is required to perform re-weighing processing

[0100] The database is used to store the starting handling time corresponding to the target factory building and the average handling time corresponding to the unit tonnage of materials, to store the number of abnormal weighing behavior characteristics of the licensed driver, and to store the vehicle reference weighing compliance analysis coefficient

[0101] A smart logistics one-card control and management system provided by the present invention obtains the order information and material information of each reservation order corresponding to the target factory building within a set period, and then allocates the handling time of each reservation order corresponding to the target factory building within the set period. Further, it analyzes and obtains the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and performs corresponding screening operations on each handling vehicle in each reservation order corresponding to the target factory building within the set period, effectively improving the logistics operation efficiency, avoiding problems such as chaotic vehicle management or a mixed bag of vehicles, and at the same time avoiding phenomena such as chaotic vehicle order, material loss or misloading often occurring within the factory area, protecting the interests of the enterprise and maintaining the enterprise image.

[0102] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by this claim book, they should belong to the protection scope of the present invention.

Claims

1. A control and management system for a smart logistics one-card pass, characterized in that, The system includes: An order information acquisition module, which is used to log in to the unattended system, and then acquire the order information and material information of each reservation order corresponding to the target factory building within a set period; A reservation time allocation module, which is used to allocate the handling time of each reservation order corresponding to the target factory building within a set period; A handling vehicle identification module, which is used to identify each handling vehicle in each reservation order corresponding to the target factory building within a set period; A vehicle route analysis module, which is used to divide the target factory building into each factory building sub-region according to a fine-grained grid division method, and then analyze and obtain the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period; A vehicle weighing analysis module, which is used to monitor the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period, and thus analyze and obtain the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within a set period; The monitoring of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period is specifically as follows: Parse and collate each video of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period to obtain the video of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period; Obtain the video of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period, focus the video of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period on the driver, and then identify each behavior feature of the driver in the video of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period; Compare each behavior feature of the driver in the video of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within a set period with each weighing abnormal behavior feature stored in the database, and thus obtain the number of weighing abnormal behavior features of the driver corresponding to each handling vehicle in each reservation order corresponding to the target factory building within a set period; The analysis of obtaining the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within a set period is specifically as follows: Based on the videos of the driving routes of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and then extracting the weighing pictures of each handling vehicle in each reservation order corresponding to the target factory building within the set period, obtaining the distance between each handling vehicle and the following vehicle in each reservation order corresponding to the target factory building within the set period, and denoting it as , where y represents the number corresponding to each reservation order, y = 1, 2,......a, and b represents the number corresponding to each handling vehicle, b = 1, 2,......p; And import the weighing images of each handling vehicle in each reservation order corresponding to the target factory building within the set period into a rectangular coordinate system, thereby obtaining the coordinates of the weighing center point and the coordinates of the center point of each handling vehicle in each reservation order corresponding to the target factory building within the set period, and respectively marking them as and ; By means of the calculation formula calculate the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target workshop within the set period , where represents the number of abnormal weighing behavior characteristics of the driver corresponding to the b-th handling vehicle in the y-th reservation order corresponding to the target workshop within the set period represents the number of abnormal weighing behavior characteristics of the licensed driver stored in the database represents the permitted coordinate difference between the set weighing center point coordinate and the vehicle center point coordinate represents the set permitted vehicle spacing difference represents the optimal spacing between the vehicle and the following vehicle, and c1 and c2 respectively represent the coefficient factors corresponding to the center coordinate point and the vehicle spacing A vehicle screening analysis module, which is used to perform corresponding screening operations on each handling vehicle in each reservation order corresponding to the target factory building within a set period according to the weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target factory building within a set period.

2. The intelligent logistics all-in-one card control and management system according to claim 1, characterized in that, The order information of each reservation order corresponding to the target factory building within a set period includes the order responsible person's account number and the order reservation time; The material information of each reservation order corresponding to the target factory building within a set period includes the vehicle information of the handling vehicle and the handling tonnage; The vehicle information of the handling vehicle corresponding to each reservation order of the target factory building within a set period includes the license plate number and the maximum load of each handling vehicle.

3. The intelligent logistics one-card control and management system according to claim 2, characterized in that The allocation of the handling time of each reservation order corresponding to the target factory building within a set period is specifically as follows: According to the material information of each reservation order corresponding to the target factory building within a set period, obtain the handling tonnage of each reservation order corresponding to the target factory building within a set period; According to the vehicle information of the transport vehicles corresponding to each scheduled order of the target plant within the set period, the maximum load of each transport vehicle corresponding to each scheduled order of the target plant within the set period is obtained, and the estimated transport tonnage of the transport vehicles corresponding to each scheduled order of the target plant within the set period is obtained by calculation; The handling tonnage of each reservation order corresponding to the target plant within the set period is compared with the estimated handling tonnage of the handling vehicle corresponding to each reservation order of the target plant within the set period. If the handling tonnage of a reservation order corresponding to the target plant within the set period is less than or equal to the estimated handling tonnage of the handling vehicle corresponding to a reservation order of the target plant within the set period, the order is marked as a target order, and based on the order information of each reservation order corresponding to the target plant within the set period, the order reservation time of each target order corresponding to the target plant within the set period is obtained, and the handling time of each target order corresponding to the target plant within the set period is calculated based on it; If the handling tonnage of a certain reservation order corresponding to the target plant within the set period is greater than the estimated handling tonnage of the handling vehicle corresponding to a certain reservation order of the target plant within the set period, the order will be marked as a warning order, thereby obtaining the warning orders corresponding to the target plant within the set period, and based on the order information of each reservation order corresponding to the target plant within the set period, the account number of the order person in charge of each warning order corresponding to the target plant within the set period is extracted, and each warning order corresponding to the target plant within the set period is fed back to the account number of the order person in charge of each warning order corresponding to the target plant within the set period and "vehicle load does not match" is displayed.

4. The intelligent logistics all-in-one card control and management system according to claim 3, characterized in that The calculation obtains the handling time of each target order corresponding to the target plant within the set period, and the calculation process is as follows: Arrange the order reservation time of each target order corresponding to the target plant within the set period in ascending order, thereby obtaining the time sequence of each target order corresponding to the target plant within the set period, and number them according to the time sequence of each target order corresponding to the target plant within the set period, and number them 1, 2, ...i, ...j in sequence; Based on the handling tonnage of each reservation order corresponding to the target plant within the set period, the handling tonnage of each target order corresponding to the target plant within the set period is obtained, and using the calculation formula , the handling time of each target order corresponding to the target plant within the set period is calculated , where represents the starting handling time corresponding to the target plant stored in the database, represents the handling tonnage of each target order corresponding to the target plant within the set period, i represents the number corresponding to each target order, i = 1, 2,..., j, represents the average handling time corresponding to the material per ton stored in the database, represents the set correction time threshold.

5. A smart logistics one-card control and management system according to claim 1, characterized in that, The specific identification process of identifying each transport vehicle in each reservation order corresponding to the target plant within the set period is as follows: The RFID reader installed at the door of the target factory can read the license plate number of each vehicle in the target factory within the set period; According to the handling time of each target order of the target plant within the set period, the handling time of each scheduled order of the target plant within the set period is obtained; According to the vehicle information of the transport vehicles of each scheduled order corresponding to the target plant within the set period, the license plate number of each transport vehicle in each scheduled order corresponding to the target plant within the set period is obtained; Get the current time and compare it with the handling time of each scheduled order of the target plant within the set period. If the time comparison is consistent, compare the license plate number of each vehicle corresponding to the target plant within the set period with the license plate number of each handling vehicle in each scheduled order corresponding to the target plant within the set period. If the license plate number comparison is consistent, the vehicle corresponding to the target plant within the set period will be allowed to enter the plant. If the license plate number comparison is inconsistent, the vehicle corresponding to the target plant within the set period will be dissuaded by voice; If the time comparison is inconsistent, the vehicle corresponding to the target workshop within the set period will be dissuaded by voice.

6. The intelligent logistics all-in-one card control and management system according to claim 1, wherein, The driving routes of each handling vehicle in each reservation order corresponding to the target workshop within the set period are obtained through analysis. The analysis process includes the following steps: Select the target handling vehicle corresponding to the target workshop within the set period from each handling vehicle in each reservation order corresponding to the target workshop within the set period; Video collection is performed on each sub-area of the workshop according to the monitoring instruments arranged in each sub-area of the workshop. The videos corresponding to the sub-areas in the direction corresponding to the driving direction of the target handling vehicle corresponding to the target workshop within the set period are extracted. If the target handling vehicle corresponding to the target workshop within the set period does not appear in a certain sub-area of the workshop, that sub-area of the workshop is marked as an unoccupied sub-area. If the target handling vehicle corresponding to the target workshop within the set period appears in a certain sub-area of the workshop, that sub-area of the workshop is marked as a monitored sub-area. Then, the videos of the target handling vehicle corresponding to the target workshop within the set period corresponding to each monitored sub-area are obtained; The appearance times of the target handling vehicle corresponding to the target workshop within the set period corresponding to each monitored sub-area are obtained from the videos of the target handling vehicle corresponding to the target workshop within the set period corresponding to each monitored sub-area. Based on the appearance times of the target handling vehicle corresponding to the target workshop within the set period corresponding to each monitored sub-area, each monitored sub-area of the target handling vehicle corresponding to the target workshop within the set period is sorted, and the positions of each monitored sub-area of the target handling vehicle corresponding to the target workshop within the set period are obtained. Thus, the driving route of the target handling vehicle corresponding to the target workshop within the set period is obtained; According to the analysis method of the driving route of the target handling vehicle corresponding to the target workshop within the set period, the driving routes of each handling vehicle in each reservation order corresponding to the target workshop within the set period are analyzed in the same way.

7. A smart logistics one-card control and management system according to claim 1, characterized in that The corresponding screening operation is performed on each handling vehicle in each reservation order corresponding to the target workshop within the set period. The specific screening process is as follows: The weighing compliance analysis coefficient of each handling vehicle in each reservation order corresponding to the target workshop within the set period is compared with the vehicle reference weighing compliance analysis coefficient stored in the database. If the weighing compliance analysis coefficient of a certain handling vehicle in a certain reservation order corresponding to the target workshop within the set period is less than the vehicle reference weighing compliance analysis coefficient, a red warning is issued for that vehicle, and that vehicle is required to perform re-weighing processing.

8. A smart logistics one-card control and management system according to claim 1, characterized in that, The system further includes a database, which is used to store the starting handling time corresponding to the target workshop and the average handling time corresponding to the unit tonnage of materials, to store the number of abnormal behavior characteristics of the permitted driver during weighing, and to store the vehicle reference weighing compliance analysis coefficient.

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