Logistics supply chain management system based on artificial intelligence

By introducing technologies such as profile racks, hydraulic cylinders and data analysis modules into the logistics supply chain management system, the risk problems in transportation and inventory management are solved, safe and efficient transportation of goods and inventory optimization are achieved, and the overall logistics supply chain is improved. Efficiency and safety.

CN119262590AInactive Publication Date: 2025-01-07KUNSHAN HONGYU FREIGHT CO LTD

Patent Information

Application Number
CN202411529907.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-30
Publication Date
2025-01-07
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing logistics supply chain management system based on artificial intelligence faces various risks in transportation and inventory management, such as weather, traffic, cargo damage and insufficient functional cargo compartment of logistics vehicles, resulting in untimely transportation, cargo backlog and structural damage. The problem.

Method used

A logistics supply chain management system based on artificial intelligence was designed, including the cabin and management auxiliary system. Through components such as profile rack, hydraulic cylinder, transmission sheet, data processing module and risk assessment module, cargo loading and unloading and transportation are optimized, and real-time monitoring is carried out. and analyze data, predict risks, optimize inventory management and traffic routes, and ensure cargo safety and transportation efficiency.

Benefits of technology

It has achieved labor-saving in cargo operations, reduced manpower demand, improved the safety and efficiency of cargo storage and transportation, and can timely identify and respond to risks in transportation, reducing transportation time and costs.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119262590A_ABST
    Figure CN119262590A_ABST
Patent Text Reader

Abstract

The invention discloses a logistics supply chain management system based on artificial intelligence, which is applied to the technical field of logistics management, and is characterized in that a compartment body is arranged as a cargo storage position, a profile frame is arranged as a structural support to cooperate with an equipment frame to fix a structure, and a weight measuring switch is used for measuring the weight of cargoes placed on the top of a base plate; meanwhile, the vertical plate at the top of the base plate is matched with the conveying pieces so that goods can be loaded and unloaded, the goods can be placed on the conveying pieces in the using process, the hydraulic cylinder is matched with the conveying pieces to push and pull, and due to the fact that the bottoms of the goods make contact with the multiple conveying pieces, two conveying pieces are moved at the same time every other conveying piece in the moving process; the contact area between the tops of the two conveying pieces and the goods is large, so that the goods are driven to move, then the single conveying piece is reset in two times, structure reset can be facilitated, follow-up material loading and unloading are facilitated, and manpower is saved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention belongs to the technical field of logistics management, and in particular relates to a logistics supply chain management system based on artificial intelligence. Background Art

[0002] The logistics supply chain refers to the integration of a series of activities and processes that deliver products or services from suppliers to end customers. It covers various links such as raw material procurement, production, warehousing, transportation, and distribution, and aims to meet logistics management needs in an efficient and low-cost manner.

[0003] The existing logistics supply chain management system based on artificial intelligence faces various risks in transportation and inventory management when conducting logistics supply chain management, such as weather, traffic, cargo damage, out-of-stock backlog, etc. It is difficult to collect data and take preventive measures in time, which is easy to cause large losses. In addition, the logistics vehicles are difficult to arrive at the distribution range on time due to traffic conditions, which is also easy to cause cargo backlogs due to data asynchrony. In addition, the functionality of the cargo compartment of the logistics vehicle is relatively limited, and it is not only laborious to load and unload overweight and oversized cargo, but also easy to cause the logistics cargo compartment to be damaged due to overweight or collision.

[0004] Based on the above-mentioned situation, we found that it is difficult for the existing logistics supply chain management system to avoid the above problems at the same time. Therefore, we proposed an artificial intelligence-based logistics supply chain management system that can optimize, protect and synchronize data such as external environmental factors, cargo damage and traffic conditions, and plan transportation traffic in advance based on the data, while optimizing the cargo compartment of logistics vehicles, making cargo operations more labor-saving and protecting the structure. Summary of the invention

[0005] The purpose of the present invention is to target an existing logistics supply chain management system based on artificial intelligence, which has the advantages of being able to optimize, protect and synchronize data such as external environmental factors, cargo damage and traffic conditions, and plan transportation traffic in advance based on the data, while optimizing the cargo compartment of logistics vehicles, making cargo operations more labor-saving and protecting the structure.

[0006] The above technical objectives of the present invention are achieved through the following technical solutions: an artificial intelligence-based logistics supply chain management system, including a box body and a management auxiliary system, a profile frame is installed on the inner side of the box body, an equipment frame is bolted to the bottom of the profile frame, a weighing switch is bolted to the top of the equipment frame, a pad is provided on the top of the weighing switch, a vertical plate is bolted to the right side of the top of the pad, a hydraulic cylinder is bolted to the left side of the vertical plate, a transmission sheet is bolted to the telescopic end of the hydraulic cylinder, and the bottom of the transmission sheet is slidably connected to the pad;

[0007] The management assistance system includes a central control module, the output end of the central control module is bidirectionally electrically connected to a data processing module, a data analysis module and a data storage module, the output end of the central control module is unidirectionally electrically connected to a risk assessment module, the output end of the central control module is bidirectionally electrically connected to a traffic data integration, the output end of the traffic data integration is bidirectionally electrically connected to an inventory management module, the output end of the central control module is bidirectionally electrically connected to a monitoring alarm module, the output end of the central control module is bidirectionally electrically connected to an abnormality detection module, and the output end of the central control module is bidirectionally electrically connected to a transport cargo compartment.

[0008] By adopting the above technical scheme, a compartment is set as a cargo storage location, a profile frame is set as a structural support to fix the structure in conjunction with the equipment frame, a weight switch is used to measure the weight of the cargo placed on the top of the pad, and the vertical plate on the top of the pad cooperates with the conveyor plate to facilitate the loading and unloading of the cargo. When in use, the cargo can be placed on the conveyor plate, and the hydraulic cylinder cooperates with the push-pull conveyor plate. Since the bottom of the cargo is in contact with multiple conveyor plates, two conveyor plates are moved simultaneously with each conveyor plate separated by one conveyor plate each time the cargo moves. The contact surface between the top of the two conveyor plates and the cargo is large, so the cargo will be driven to move. Then, a single conveyor plate is reset twice separately to facilitate the reset of the structure to facilitate the subsequent loading and unloading of materials, saving manpower. The installation of data processing modules and data analysis modules can quickly process and deeply analyze a large amount of data in the logistics supply chain, which is helpful to understand the situation of each link in the logistics, including but not limited to the transportation status of the cargo, inventory levels, traffic conditions, etc. The risk assessment module can conduct risk assessment on the risks in the logistics supply chain. Assessment, such as weather changes, traffic congestion, cargo damage, etc., as well as risks in inventory management, such as out-of-stock risk and backlog risk, and by identifying risks in advance, it is convenient for personnel to take corresponding measures to prevent and respond. Traffic data integration is used to obtain traffic information in real time, provide accurate route planning and time forecasts for logistics transportation, avoid traffic congestion as much as possible, and reduce transportation time and cost. The inventory management module works together with traffic data integration to reasonably adjust inventory levels according to traffic conditions. The monitoring alarm module can monitor all aspects of the logistics supply chain in real time, including the location of transport vehicles, the status of goods, the environment of the warehouse, etc. Once an abnormal situation is found, such as cargo loss, vehicle failure, warehouse temperature is too high or too low, etc., an alarm can be issued in time so that measures can be taken quickly to deal with it. The anomaly detection module can automatically detect abnormal situations in the logistics process. The transport cargo compartment, as the cargo storage location of the logistics vehicle, can facilitate the monitoring and control of internal conditions.

[0009] The present invention is further configured as follows: a stacking frame is bolted to the right side of the profile frame, and a layer plate is installed on the inner side of the stacking frame.

[0010] By adopting the above technical solution, by setting up a stacking rack, the position of the stacked goods can be easily limited so that they will not move excessively and cause the structure to be squeezed. The set layer board can be conveniently used as the installation position of the structure or the stacking of small goods.

[0011] The present invention is further configured as follows: a limiting sleeve is bolted to the top of the pad, and the inner side of the limiting sleeve is slidably connected to the limiting frame.

[0012] By adopting the above technical solution, by setting a limit sleeve and a limit frame, the movement of the pad can be limited. Because the limit frame can only slide along the limit sleeve, the pad connected thereto can only move vertically to avoid tilting of the structure.

[0013] The present invention is further configured as follows: a compression spring is bolted to the bottom of the inner side of the limiting sleeve, a push piece is bolted to the top of the compression spring, and the top of the push piece is bolted to the limiting frame.

[0014] By adopting the above technical solution, by arranging a compression spring in conjunction with a push piece, the pad can be easily reset after the force stops being applied to facilitate subsequent use.

[0015] The present invention is further configured as follows: a layer cylinder is bolted to the inner side of the limiting sleeve, a flow hole is opened on the inner side of the layer cylinder, and the inner side of the limiting sleeve is filled with viscous oil.

[0016] By adopting the above technical solution, by setting the layer cylinder and the flow hole, when the limit frame and the push plate slide vertically along the inner side of the limit sleeve, the push plate will push the internal viscous oil to flow along the flow hole to achieve the effect of damping and buffering, thereby preventing the cargo from being too heavy and falling, resulting in the structure having no buffering and thus breaking or deforming.

[0017] The present invention is further configured as follows: the top and the bottom of the outer side of the layer cylinder are both bolted with limit rings, and the opposite sides of the two limit rings are used in conjunction with the push piece.

[0018] By adopting the above technical solution and setting a limit ring, the moving position of the push piece can be easily limited to avoid abnormal use caused by excessive movement of the structure.

[0019] The present invention is further configured as follows: a smoke switch, a humidifier, an air conditioning device and a lighting lamp are installed on the top of the inner wall of the compartment, and a suspension is bolted to the top of the profile frame.

[0020] By adopting the above technical solution and setting a suspension, it is easy to install in the internal structure of the box body, and at the same time it can prevent the cargo from being too high and pressing against the top structure.

[0021] The present invention is further configured as follows: the transport cargo compartment includes an environment control module, a data acquisition module, a lighting system, a wireless communication module, an anti-theft alarm module and a smoke detector.

[0022] By adopting the above technical scheme, the environment control module is set to facilitate the adjustment of the environment inside the transport cargo compartment according to the cargo. The data acquisition module collects the internal parameters of the compartment and illuminates the interior through the lighting system for personnel observation. The wireless communication module can facilitate the control of the structure from the outside. The anti-theft alarm module can be installed at the lock position or inner wall of the compartment to alarm in case of forced demolition. The smoke detector can facilitate the monitoring of internal smoke and dust, and can also facilitate personnel to quickly observe and respond in the event of fire.

[0023] The present invention is further configured as follows: the environmental control module includes an air conditioning module, a humidifier module and a ventilation system.

[0024] By adopting the above technical solution, the internal temperature of the compartment can be easily controlled by setting up an air-conditioning module. The humidifier module is used to increase the humidity of the environment when the interior is too dry. The set ventilation system can facilitate the auxiliary replacement of the internal air.

[0025] The present invention is further configured as follows: the data acquisition module includes a temperature sensor, a humidity sensor, a pressure sensor and a vibration sensor.

[0026] By adopting the above technical solution, by setting a temperature sensor in conjunction with a humidity sensor, the temperature and humidity inside the compartment can be monitored, the pressure sensor can be used to detect the weight of the internal cargo, and the vibration sensor can be used to detect the vibration inside the compartment.

[0027] In summary, the present invention has the following beneficial effects:

[0028] By setting the box body as the cargo storage position, setting the profile frame as the structural support and cooperating with the equipment frame to fix the structure, the weight switch is used to measure the weight of the cargo placed on the top of the pad, and the vertical plate on the top of the pad cooperates with the conveyor plate to facilitate the loading and unloading of the cargo. When in use, the cargo can be placed on the conveyor plate, and the hydraulic cylinder cooperates with the push-pull conveyor plate. Since the bottom of the cargo is in contact with multiple conveyor plates, two conveyor plates are moved simultaneously with each conveyor plate separated by one conveyor plate each time the cargo moves. The contact surface between the top of the two conveyor plates and the cargo is large, so the cargo will be driven to move. Then, a single conveyor plate is reset twice to facilitate the reset of the structure to facilitate the subsequent loading and unloading of materials, saving manpower. The installation of data processing modules and data analysis modules can quickly process and deeply analyze a large amount of data in the logistics supply chain, which is helpful to understand the situation of each link in the logistics, including but not limited to the transportation status of the cargo, inventory level, traffic conditions, etc. The risk assessment module can assess the risks in the logistics supply chain, for example Such as weather changes, traffic congestion, cargo damage, etc., as well as risks in inventory management, such as out-of-stock risks and backlog risks. By identifying risks in advance, it is convenient for personnel to take corresponding measures to prevent and respond. Traffic data integration is used to obtain traffic information in real time, provide accurate route planning and time forecasts for logistics transportation, avoid traffic congestion as much as possible, and reduce transportation time and costs. The inventory management module works together with traffic data integration to reasonably adjust inventory levels according to traffic conditions. The monitoring and alarm module can monitor all aspects of the logistics supply chain in real time, including the location of transport vehicles, the status of goods, the environment of warehouses, etc. Once an abnormal situation is found, such as cargo loss, vehicle failure, warehouse temperature is too high or too low, etc., an alarm can be issued in time so that measures can be taken quickly to deal with it. The anomaly detection module can automatically detect abnormal situations in the logistics process. The transport cargo compartment, as the cargo storage location of the logistics vehicle, can facilitate the monitoring and control of internal conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0030] Figure 2 It is a schematic diagram of the profile frame structure of the present invention;

[0031] Figure 3 It is a schematic diagram of the equipment rack structure of the present invention;

[0032] Figure 4 It is a schematic diagram of the internal structure of the limit sleeve of the present invention;

[0033] Figure 5 is a schematic diagram of the management assistance system of the present invention;

[0034] Figure 6 It is a schematic diagram of the structure of the transport cargo compartment of the present invention.

[0035] Reference numerals: 1, compartment; 2, management auxiliary system; 201, central control module; 202, data processing module; 203, analysis module; 204, data storage module; 205, risk assessment module; 206, traffic data integration; 207, inventory management module; 208, monitoring alarm module; 209, abnormal detection module; 210, transport compartment; 3, profile rack; 4, equipment rack; 5, weighing switch; 6, pad; 7, vertical plate; 8, hydraulic cylinder; 9, transmission sheet; 10, stacking rack; 11 , layer plate; 12, limit sleeve; 13, limit frame; 14, compression spring; 15, push piece; 16, layer cylinder; 17, flow hole; 18, limit ring; 19, suspension; 20, environmental control module; 21, data acquisition module; 22, lighting system; 23, wireless communication module; 24, anti-theft alarm module; 25, smoke detector; 26, air conditioning module; 27, humidifier module; 28, ventilation system; 29, temperature sensor; 30, humidity sensor; 31, pressure sensor; 32, vibration sensor. DETAILED DESCRIPTION

[0036] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0037] Embodiment 1:

[0038] refer to Figure 1-4 A logistics supply chain management system based on artificial intelligence, a logistics supply chain management system based on artificial intelligence, including a compartment 1 and a management auxiliary system 2, a profile frame 3 is installed on the inner side of the compartment 1, an equipment frame 4 is bolted to the bottom of the profile frame 3, a weighing switch 5 is bolted to the top of the equipment frame 4, a pad 6 is provided on the top of the weighing switch 5, a vertical plate 7 is bolted to the right side of the top of the pad 6, a hydraulic cylinder 8 is bolted to the left side of the vertical plate 7, a transmission sheet 9 is bolted to the telescopic end of the hydraulic cylinder 8, and the bottom of the transmission sheet 9 is slidably connected to the pad 6, by setting the compartment 1 as a cargo storage position and setting the profile frame 3 as a structural support to cooperate The equipment frame 4 fixes the structure, and the weighing switch 5 is used to measure the weight of the goods placed on the top of the pad 6. At the same time, the vertical plate 7 on the top of the pad 6 cooperates with the conveying piece 9 to facilitate the loading and unloading of the goods. When in use, the goods can be placed on the conveying piece 9, and the hydraulic cylinder 8 cooperates to push and pull the conveying piece 9. Since the bottom of the goods is in contact with multiple conveying pieces 9, two conveying pieces 9 are moved at the same time with each conveying piece 9 separated by one. The contact surface between the top of the two conveying pieces 9 and the goods is larger, so it will drive the goods to move, and then the single conveying piece 9 is reset twice to facilitate the reset of the structure to facilitate the subsequent loading and unloading of materials, saving manpower.

[0039] like Figure 2As shown, a stacking rack 10 is bolted to the right side of the profile rack 3, and a layer plate 11 is installed on the inner side of the stacking rack 10. By setting the stacking rack 10, the position of the stacked goods can be conveniently limited so that they will not move excessively and cause the structure to be squeezed. The set layer plate 11 can be conveniently used as the installation position of the structure or the stacking of small goods.

[0040] like Figure 3 As shown, the top of the pad 6 is bolted with a limiting sleeve 12, and the inner side of the limiting sleeve 12 is slidably connected to the limiting frame 13. By arranging the limiting sleeve 12 to cooperate with the limiting frame 13, the movement of the pad 6 can be limited. Because the limiting frame 13 can only slide along the limiting sleeve 12, the pad 6 connected thereto can only move vertically to avoid tilting of the structure.

[0041] like Figure 4 As shown, a compression spring 14 is bolted to the bottom of the inner side of the limiting sleeve 12, a push piece 15 is bolted to the top of the compression spring 14, and the top of the push piece 15 is bolted to the limiting frame 13. By arranging the compression spring 14 to cooperate with the push piece 15, it is convenient to reset the pad 6 after the force stops being applied for subsequent use.

[0042] like Figure 4 As shown, a layer cylinder 16 is bolted to the inner side of the limit sleeve 12, and a flow hole 17 is opened on the inner side of the layer cylinder 16. The inner side of the limit sleeve 12 is filled with viscous oil. By arranging the layer cylinder 16 to cooperate with the flow hole 17, when the limit frame 13 and the push plate 15 slide vertically along the inner side of the limit sleeve 12, the push plate 15 will push the internal viscous oil to flow along the flow hole 17 to achieve a damping and buffering effect, thereby preventing the cargo from being too heavy and falling, resulting in the structure having no buffering and thus breaking or deforming.

[0043] like Figure 4 As shown, the top and bottom of the outer side of the layer cylinder 16 are bolted with limit rings 18, and the opposite sides of the two limit rings 18 are used in conjunction with the push piece 15. By setting the limit rings 18, the moving position of the push piece 15 can be easily limited to avoid excessive movement of the structure resulting in inability to use normally.

[0044] like Figure 4 As shown, a smoke switch, a humidifier, an air conditioning device and a lighting lamp are installed on the top of the inner wall of the car body 1, and a suspension 19 is bolted to the top of the profile frame 3. By setting the suspension 19, it is easy to install in the internal structure of the car body 1, and at the same time, it can prevent the cargo from pressing against the top structure too high.

[0045] Brief description of the use process: By setting the compartment 1 as a cargo storage position, the cargo can be directly placed on the conveying sheet 9 when in use, and the weight switch 5 measures the weight of the cargo placed on the top of the pad 6. At the same time, the vertical plate 7 on the top of the pad 6 cooperates with the conveying sheet 9 to facilitate loading and unloading of the cargo. When in use, the cargo can be placed on the conveying sheet 9, and the hydraulic cylinder 8 cooperates to push and pull the conveying sheet 9. Since the bottom of the cargo is in contact with multiple conveying sheets 9, two conveying sheets 9 are moved simultaneously with each conveying sheet 9 at a time. The contact surface between the top of the two conveying sheets 9 and the cargo is large, so the cargo will be driven to move. Then, the single conveying sheet 9 is reset twice to facilitate the reset of the structure to facilitate the subsequent loading and unloading of materials, saving manpower. When placing the cargo, the limit sleeve 12 cooperates with the limit frame 13 to limit the movement of the pad 6. When the limit frame 13 and the push sheet 15 slide vertically along the inner side of the limit sleeve 12, the push sheet 15 will push the internal viscous oil to flow along the flow hole 17, which has a damping and buffering effect to protect the structure.

[0046] Embodiment 2:

[0047] refer to Figure 4-6 , a logistics supply chain management system based on artificial intelligence, further comprising a management assistance system 2, the management assistance system 2 comprising a central control module 201, the output end of the central control module 201 is bidirectionally electrically connected to a data processing module 202, a data analysis module 203 and a data storage module 204, the output end of the central control module 201 is unidirectionally electrically connected to a risk assessment module 205, the output end of the central control module 201 is bidirectionally electrically connected to a traffic data integration 206, the output end of the traffic data integration 206 is bidirectionally electrically connected to an inventory management module 207, the output end of the central control module 201 is bidirectionally electrically connected to a monitoring alarm module 208, the output end of the central control module 201 is bidirectionally electrically connected to an abnormality detection module 209, and the output end of the central control module 201 is bidirectionally electrically connected to a transport cargo compartment 210;

[0048] The installation of data processing module 202 and data analysis module 203 can quickly process and deeply analyze a large amount of data in the logistics supply chain, which is helpful to understand the situation of each link of logistics, including but not limited to the transportation status of goods, inventory level, traffic conditions, etc. The risk assessment module 205 can assess the risks in the logistics supply chain, such as weather changes, traffic congestion, cargo damage, etc., as well as risks in inventory management, such as out-of-stock risk and backlog risk, and by identifying risks in advance, it is convenient for personnel to take corresponding measures to prevent and respond. The traffic data integration 206 is used to obtain traffic information in real time, provide accurate route planning and time prediction for logistics transportation, and avoid as much as possible. Traffic congestion, reducing transportation time and cost, inventory management module 207 and traffic data integration 206 work together to reasonably adjust inventory levels according to traffic conditions, monitoring alarm module 208 can monitor all aspects of the logistics supply chain in real time, including the location of transport vehicles, the status of goods, warehouse environment, etc. Once an abnormal situation is found, such as loss of goods, vehicle failure, warehouse temperature is too high or too low, etc., an alarm can be issued in time so that measures can be taken quickly to deal with it, the abnormality detection module 209 can automatically detect abnormal situations in the logistics process, and the transport cargo compartment 210 as the cargo storage location of the logistics vehicle can facilitate the monitoring and control of internal conditions.

[0049] like Figure 6 As shown, the transport cargo compartment 210 includes an environmental control module 20, a data acquisition module 21, a lighting system 22, a wireless communication module 23, an anti-theft alarm module 24 and a smoke detector 25. By setting the environmental control module 20, it is convenient to adjust the environment inside the transport cargo compartment 210 according to the cargo. The data acquisition module 21 collects internal parameters of the compartment 1, and illuminates the interior through the lighting system 22 for easy observation by personnel. The wireless communication module 23 can facilitate external control of the structure. The anti-theft alarm module 24 can be installed at the lock position or inner wall of the compartment to sound an alarm when forced to break into it. The smoke detector 25 can facilitate monitoring of internal smoke and dust, and can also facilitate rapid observation and response by personnel in the event of fire or the like.

[0050] like Figure 6 As shown, the environmental control module 20 includes an air-conditioning module 26, a humidifier module 27 and a ventilation system 28. The air-conditioning module 26 can be used to control the internal temperature of the compartment 1. The humidifier module 27 is used to increase the humidity of the environment when the interior is too dry. The ventilation system 28 can assist in replacing the internal air.

[0051] like Figure 6As shown, the data acquisition module 21 includes a temperature sensor 29, a humidity sensor 30, a pressure sensor 31 and a vibration sensor 32. By setting the temperature sensor 29 in conjunction with the humidity sensor 30, the temperature and humidity inside the compartment 1 can be monitored conveniently. The pressure sensor 31 can be used to detect the weight of the internal cargo. The vibration sensor 32 can be used to detect the vibration inside the compartment 1.

[0052] Brief description of the usage process: When using, installing the data processing module 202 and the data analysis module 203 can quickly process and deeply analyze a large amount of data in the logistics supply chain, which is helpful to understand the situation of each link of the logistics, including but not limited to the transportation status of goods, inventory levels, traffic conditions, etc. The risk assessment module 205 can assess the risks in the logistics supply chain, such as weather changes, traffic congestion, cargo damage, etc., as well as risks in inventory management, such as out-of-stock risks and backlog risks, and by identifying risks in advance, it is convenient for personnel to take corresponding measures to prevent and respond. The traffic data integration 206 is used to obtain traffic information in real time, and provide accurate route planning and time prediction for logistics transportation. Avoid traffic jams as much as possible, reduce transportation time and cost, the inventory management module 207 works with the traffic data integration 206 to reasonably adjust the inventory level according to traffic conditions, and the monitoring alarm module 208 can monitor all aspects of the logistics supply chain in real time, including the location of the transport vehicle, the status of the goods, the warehouse environment, etc. Once an abnormal situation is found, such as loss of goods, vehicle failure, high or low warehouse temperature, etc., an alarm can be issued in time so that measures can be taken quickly to deal with it. The abnormal detection module 209 can automatically detect abnormal situations in the logistics process. The transport cargo compartment 210, as the cargo storage location of the logistics vehicle, can facilitate the monitoring and control of the internal situation. The environment control module 20 is convenient for adjusting the environment inside the transport cargo compartment 210 according to the cargo, the data acquisition module 21 collects the internal parameters of the compartment 1, and the interior is illuminated by the lighting system 22 for easy observation by personnel, the wireless communication module 23 is convenient for external control of the structure, the anti-theft alarm module 24 can be installed at the lock position of the compartment or the inner wall, and an alarm is sounded when forced demolition occurs, the smoke detector 25 is convenient for monitoring the internal smoke and dust, and it is also convenient for personnel to quickly observe and respond in the event of a fire, etc., and the environment control module 20 is convenient for adjusting the environment inside the transport cargo compartment 210 according to the cargo, the data acquisition module Block 21 collects internal parameters of the compartment 1, and illuminates the interior through the lighting system 22 for easy observation by personnel. The wireless communication module 23 is provided to facilitate the control of the structure from the outside. The anti-theft alarm module 24 can be installed at the lock position or the inner wall of the compartment to sound an alarm when forced demolition occurs. The smoke detector 25 is provided to facilitate the monitoring of internal smoke and dust, and is also convenient for personnel to quickly observe and respond in the event of a fire. The air-conditioning module 26 can be provided to facilitate the control of the internal temperature of the compartment 1. The humidifier module 27 is used to increase the humidity of the environment when the interior is too dry. The ventilation system 28 is provided to facilitate the auxiliary replacement of the internal air.

[0053] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. A logistics supply chain management system based on artificial intelligence, comprising a compartment (1) and a management auxiliary system (2), characterized in that: A profile frame (3) is installed on the inner side of the box body (1), an equipment frame (4) is bolted to the bottom of the profile frame (3), a weight switch (5) is bolted to the top of the equipment frame (4), a pad (6) is provided on the top of the weight switch (5), a vertical plate (7) is bolted to the right side of the top of the pad (6), a hydraulic cylinder (8) is bolted to the left side of the vertical plate (7), a transmission sheet (9) is bolted to the telescopic end of the hydraulic cylinder (8), and the bottom of the transmission sheet (9) is slidably connected to the pad (6); The management assistance system (2) comprises a central control module (201), the output end of the central control module (201) is bidirectionally electrically connected to a data processing module (202), a data analysis module (203) and a data storage module (204), the output end of the central control module (201) is unidirectionally electrically connected to a risk assessment module (205), the output end of the central control module (201) is bidirectionally electrically connected to a traffic data integration (206), the output end of the traffic data integration (206) is bidirectionally electrically connected to an inventory management module (207), the output end of the central control module (201) is bidirectionally electrically connected to a monitoring alarm module (208), the output end of the central control module (201) is bidirectionally electrically connected to an abnormality detection module (209), and the output end of the central control module (201) is bidirectionally electrically connected to a transport cargo compartment (210).

2. According to claim 1, a logistics supply chain management system based on artificial intelligence is characterized by: A stacking frame (10) is bolted to the right side of the profile frame (3), and a layer plate (11) is installed on the inner side of the stacking frame (10).

3. The artificial intelligence-based logistics supply chain management system according to claim 1, characterized in that: The top of the pad (6) is bolted to a limiting sleeve (12), and the inner side of the limiting sleeve (12) is slidably connected to a limiting frame (13).

4. The artificial intelligence-based logistics supply chain management system according to claim 3, characterized in that: A compression spring (14) is bolted to the bottom of the inner side of the limiting sleeve (12), a push piece (15) is bolted to the top of the compression spring (14), and the top of the push piece (15) is bolted to the limiting frame (13).

5. The artificial intelligence-based logistics supply chain management system according to claim 4, characterized in that: The inner side of the limiting sleeve (12) is bolted with a layer cylinder (16), the inner side of the layer cylinder (16) is provided with a flow hole (17), and the inner side of the limiting sleeve (12) is filled with viscous oil.

6. The artificial intelligence-based logistics supply chain management system according to claim 5, characterized in that: The top and bottom of the outer side of the layer cylinder (16) are both bolted to limit rings (18), and the opposite sides of the two limit rings (18) are used in conjunction with the push piece (15).

7. The artificial intelligence-based logistics supply chain management system according to claim 1, characterized in that: A smoke switch, a humidifier, an air conditioning device and a lighting lamp are installed on the top of the inner wall of the compartment (1), and a suspension bracket (19) is bolted to the top of the profile frame (3).

8. The artificial intelligence-based logistics supply chain management system according to claim 1, characterized in that: The transport cargo compartment (210) comprises an environmental control module (20), a data acquisition module (21), a lighting system (22), a wireless communication module (23), an anti-theft alarm module (24) and a smoke detector (25).

9. The artificial intelligence-based logistics supply chain management system according to claim 8, characterized in that: The environmental control module (20) comprises an air conditioning module (26), a humidifier module (27) and a ventilation system (28).

10. The artificial intelligence-based logistics supply chain management system according to claim 9, characterized in that: The data acquisition module (21) comprises a temperature sensor (29), a humidity sensor (30), a pressure sensor (31) and a vibration sensor (32).

Citation Information

Patent Citations

  • Damping tray

    CN103950611A

  • Transport container and system for monitoring contents in transport container

    CN108712987A

  • Automatic chip fixing structure for chip testing device

    CN116718810A

  • Supply chain processing distribution system based on Internet of Things

    CN117634724A

  • Warehousing and transportation management system based on Internet of Things

    CN117893127A

Cited By

  • Supply chain management system based on Internet of Things technology

    CN120181572A