Logistics safety monitoring system method based on AI video identification technology

Abstract

The invention relates to the field of intelligent logistics robots, in particular to a logistics safety monitoring system and method based on an AI video recognition technology, and the method comprises the following operation steps: S1, during working, people can carry out voice interaction with an intelligent logistics robot through an intelligent voice interaction module, thereby achieving the operation control of the intelligent logistics robot, and enabling the intelligent logistics robot to carry out voice interaction; when the intelligent logistics robot receives a control instruction, the intelligent logistics robot can move through a walking driving mechanism of the intelligent logistics robot, so that automatic walking of the intelligent logistics robot is achieved, in the walking process, the surrounding environment can be sensed through a collision sensing and early warning module installed in the intelligent logistics robot, surrounding obstacles are avoided, and the intelligent logistics robot is convenient to use. According to the intelligent logistics robot, the intelligent path planning module can intelligently plan the own action path according to the received information, so that the intelligent logistics robot can plan the optimal path in real time, obstacles are avoided, and the cargo handling task is efficiently completed.

Description

Technical Field

[0001] The present invention relates to the field of intelligent logistics robots, and in particular to a logistics safety monitoring system method and system based on AI video recognition technology. Background Art

[0002] As a modern technical means, AI recognition technology is gradually being integrated into our lives. With the development of science and technology, AI recognition technology is increasingly being used in daily life, social production and various scientific fields. It can bring a lot of convenience to mankind and also provide great help for economic development, social security, etc. It is a high-tech that will change the future of mankind. The main principle of AI recognition technology is machine learning. It learns data, establishes a mapping relationship between data and output, and realizes a series of operations such as fast and accurate automatic analysis, recognition and detection of data. It involves natural language processing, speech recognition, image recognition, video recognition, behavior recognition and face recognition. In terms of the mobilization of materials in hospitals, traditional consumables transportation methods often have the problem of being unintelligent, relying on more human participation, and it is difficult to accurately grasp the actual inventory data. In addition, traditional methods cannot provide effective consumables usage suggestions based on historical records. Therefore, it is necessary to introduce AI technology and use intelligent logistics robots to automatically determine the amount of consumables and eliminate tedious manual planning. Summary of the invention

[0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a multiple activated carbon filtering device capable of replacing activated carbon plates in real time, so as to overcome the above-mentioned defects in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A logistics safety monitoring system method based on AI video recognition technology includes the following steps:

[0006] S1. When working, people can interact with the intelligent logistics robot (12) through voice through the intelligent voice interaction module (122), thereby realizing the operation control of the intelligent logistics robot (12). When the intelligent logistics robot (12) receives the control command, it will move through its own driving mechanism, thereby realizing the automatic walking of the intelligent logistics robot (12). During the walking process, the collision sensor warning module (121) installed inside the intelligent logistics robot (12) can sense the surrounding environment and realize the avoidance of surrounding obstacles;

[0007] S2. The AI ​​identification logistics system (14) installed on the top of the intelligent logistics robot (12) can be used to perform camera recognition of the surrounding environment, and the data processing system (13) can receive the surrounding environment information data captured by the camera recognition module (141), and the intelligent path planning module (124) can be used to intelligently plan its own action path according to the received information, so as to realize logistics transportation work;

[0008] S3. When the intelligent logistics robot (12) follows the planned path and reaches the warehouse, it will use the camera recognition module (141) to perform image recognition on the medicines or tools stored in the warehouse, and then take them out through its own grasping mechanism. After taking them out, the scanning confirmation module (142) can read and identify the serial code on the taken items, thereby realizing secondary confirmation of the requested items;

[0009] S4. When taking or storing items, the result recording module (143) can record the outbound or inbound actions, and the inventory recording synchronization module (151) can synchronize data records. When the intelligent logistics robot (12) performs logistics reciprocating inbound and outbound operations, the surplus calculation and analysis module (152) can calculate the quantity of each item in the warehouse, and simulate and analyze the consumption speed of each item based on past work data. After that, the consumables simulation calculation module (154) can calculate each consumable, so that replenishment can be carried out in time before the consumables are consumed.

[0010] S5. The intelligent calculation prompt system (16) can be combined with cloud computing technology based on real-time logistics data to enable the intelligent logistics robot (12) to perform data analysis and intelligent optimization. By analyzing and predicting cargo demand, the intelligent logistics robot (12) can prepare and dispatch cargo in advance, and use the intelligent path planning module (124) to optimize path planning, thereby improving the efficiency of logistics operations.

[0011] Preferably, a logistics safety monitoring system method based on AI video recognition technology comprises an intelligent logistics system (1), characterized in that: the intelligent logistics system (1) comprises a central integrated processor (11), an intelligent logistics robot (12), a data processing system (13), an AI identification logistics system (14), an inventory record synchronization system (15) and an intelligent calculation prompt system (16), the central integrated processor (11) is connected to the intelligent logistics robot (12), the data processing system (13), the AI ​​identification logistics system (14), the inventory record synchronization system (15) and the intelligent calculation prompt system (16), the intelligent logistics robot (12) is connected to the data processing system (13), the data processing system (13) is connected to the AI ​​identification logistics system (14), the AI ​​identification logistics system (14) is connected to the inventory record synchronization system (15), and the inventory record synchronization system (15) is connected to the intelligent calculation prompt system (16).

[0012] Preferably, the intelligent logistics robot (12) comprises a collision sensor warning module (121), an intelligent voice interaction module (122), an intelligent automatic charging module (123) and an intelligent path planning module (124), wherein the collision sensor warning module (121) is connected to the intelligent voice interaction module (122), the intelligent voice interaction module (122) is connected to the intelligent automatic charging module (123), and the intelligent automatic charging module (123) is connected to the intelligent path planning module (124).

[0013] Preferably, the data processing system (13) comprises a data acquisition and receiving module (131), a data integration and processing module (132) and an instruction response and feedback module (133), wherein the data acquisition and receiving module (131) is connected to the data integration and processing module (132), and the data integration and processing module (132) is connected to the instruction response and feedback module (133).

[0014] Preferably, the AI ​​identification logistics system (14) comprises a camera identification module (141), a scanning confirmation module (142) and a result recording module (143), wherein the camera identification module (141) is connected to the scanning confirmation module (142), and the scanning confirmation module (142) is connected to the result recording module (143).

[0015] Preferably, the inventory record synchronization system (15) includes an inventory record synchronization module (151), a balance calculation and analysis module (152), a consumption simulation analysis module (153) and a consumables simulation calculation module (154), wherein the inventory record synchronization module (151) is connected to the balance calculation and analysis module (152), the balance calculation and analysis module (152) is connected to the consumption simulation analysis module (153), and the consumption simulation analysis module (153) is connected to the consumables simulation calculation module (154).

[0016] Preferably, the collision sensor warning module (121) is respectively arranged in the upper and lower areas of the intelligent logistics robot (12), and is combined into a three-dimensional warning sensing area.

[0017] The beneficial effects of the present invention are as follows: when working, people can interact with the intelligent logistics robot through the intelligent voice interaction module, so as to realize the operation and control of the intelligent logistics robot. During the walking process, the collision sensor warning module installed inside the intelligent logistics robot can sense the surrounding environment and avoid surrounding obstacles. At the same time, the AI ​​recognition logistics system installed on the top of the intelligent logistics robot can be used to perform camera recognition of the surrounding environment. The data processing system can receive the surrounding environment information data captured by the camera recognition module, and the intelligent path planning module can intelligently plan its own action path according to the received information, so that the intelligent logistics robot can plan the optimal path in real time, avoid obstacles, and efficiently complete the cargo handling task. When the intelligent logistics robot follows the planned path to reach the warehouse, it will perform image recognition on the medicines or tools stored in the warehouse through the camera recognition module, and then take it down through its own grasping mechanism. After taking it down, the serial code on the taken item can be read and recognized through the scanning confirmation module, so as to realize the secondary confirmation of the requested item, which is conducive to improving the accuracy of the intelligent logistics robot when working. The intelligent calculation prompt system can be combined with cloud computing technology based on real-time logistics data, so that the intelligent logistics robot can perform data analysis and intelligent optimization. By analyzing and predicting cargo demand, the intelligent logistics robot can prepare and dispatch cargo in advance, and use the intelligent path planning module to optimize path planning, so that the robot can automatically complete the express delivery and dispatch of medical supplies according to the needs of the medical department, improving the efficiency and accuracy of logistics operations. When taking or storing items, the result recording module can record its own outbound or inbound actions, and can synchronize data records through the inventory record synchronization module. When the intelligent logistics robot performs logistics back and forth in and out of the warehouse, the remaining calculation and analysis module can calculate the quantity of each item in the warehouse. The robot can record the receipt and delivery of materials and usage records, and provide corresponding data reports. It can also simulate and analyze the consumption rate of each item based on past work data. After that, the consumables simulation calculation module can be used to calculate each consumable, so that it can be replenished in time before the consumables are consumed, which is conducive to the normal progress of medical treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the process of the present invention.

[0019] Figure numerals: 1. Intelligent logistics system; 11. Central integrated processor; 12. Intelligent logistics robot; 121. Collision sensor warning module; 122. Intelligent voice interaction module; 123. Intelligent automatic charging module; 124. Intelligent path planning module; 13. Data processing system; 131. Data acquisition and receiving module; 132. Data integration and processing module; 133. Command response and feedback module; 14. AI recognition logistics system; 141. Camera recognition module; 142. Scanning confirmation module; 143. Result recording module; 15. Inventory record synchronization system; 151. Inventory record synchronization module; 152. Balance calculation and analysis module; 153. Consumption simulation analysis module; 154. Consumables simulation calculation module; 16. Intelligent calculation prompt system. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that when a component is referred to as being "fixed to" another component, it may be directly on the other component or there may also be a component centered. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may also be a component centered. When a component is considered to be "set on" another component, it may be directly set on the other component or there may also be a component centered. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0023] The embodiments of the present invention are further described in detail below with reference to the accompanying drawings:

[0024] A logistics safety monitoring system method based on AI video recognition technology includes the following steps:

[0025] S1. When working, people can interact with the intelligent logistics robot 12 through voice through the intelligent voice interaction module 122, so as to realize the operation control of the intelligent logistics robot 12. When the intelligent logistics robot 12 receives the control command, it will move through its own driving mechanism, so as to realize the automatic walking of the intelligent logistics robot 12. During the walking process, the collision sensor warning module 121 installed inside the intelligent logistics robot 12 can sense the surrounding environment and avoid surrounding obstacles;

[0026] S2. The AI ​​identification logistics system 14 installed on the top of the intelligent logistics robot 12 can be used to perform camera recognition of the surrounding environment. The data processing system 13 can receive the surrounding environment information data captured by the camera recognition module 141, and the intelligent path planning module 124 can intelligently plan its own action path according to the received information, so as to realize logistics transportation work;

[0027] S3. When the intelligent logistics robot 12 follows the planned path to reach the warehouse, it will use the camera recognition module 141 to perform image recognition on the medicines or tools stored in the warehouse, and then take them down through its own grasping mechanism. After taking them down, the scanning confirmation module 142 can read and identify the serial code on the taken items, so as to realize the secondary confirmation of the requested items.

[0028] S4. When taking or storing items, the result recording module 143 can record the outbound or inbound actions, and the inventory record synchronization module 151 can synchronize data records. When the intelligent logistics robot 12 performs logistics reciprocating in and out of the warehouse, the surplus calculation and analysis module 152 can calculate the quantity of each item in the warehouse, and can simulate and analyze the consumption speed of each item based on past work data. After that, the consumables simulation calculation module 154 can calculate each consumable, so that it can replenish the stock in time before the consumables are consumed;

[0029] S5. The intelligent calculation prompt system 16 can be combined with cloud computing technology based on real-time logistics data, so that the intelligent logistics robot 12 can perform data analysis and intelligent optimization. By analyzing and predicting cargo demand, the intelligent logistics robot 12 can prepare and dispatch cargo in advance, and use the intelligent path planning module 124 to optimize path planning and improve the efficiency of logistics operations.

[0030] A logistics safety monitoring system method based on AI video recognition technology, wherein an intelligent logistics system 1 comprises a central integrated processor 11, an intelligent logistics robot 12, a data processing system 13, an AI recognition logistics system 14, an inventory record synchronization system 15 and an intelligent estimation prompt system 16, wherein the central integrated processor 11 is connected to the intelligent logistics robot 12, the data processing system 13, the AI ​​recognition logistics system 14, the inventory record synchronization system 15 and the intelligent estimation prompt system 16, wherein the intelligent logistics robot 12 is connected to the data processing system 13, the data processing system 13 is connected to the AI ​​recognition logistics system 14, the AI ​​recognition logistics system 14 is connected to the inventory record synchronization system 15, the inventory record synchronization system 15 is connected to the intelligent estimation prompt system 16, and the intelligent logistics robot 12 can integrate the hospital's material management system and inventory information to help medical staff understand the use of consumables in real time. Through voice or text dialogue, medical staff can query the inventory of specific consumables and predict the trend of consumable use to help them make reasonable purchasing decisions.

[0031] The intelligent logistics robot 12 includes a collision sensor warning module 121, an intelligent voice interaction module 122, an intelligent automatic charging module 123 and an intelligent path planning module 124. The collision sensor warning module 121 is connected to the intelligent voice interaction module 122. Relying on the AI ​​capability of the intelligent logistics robot 12, the intelligent logistics robot 12 can understand human instructions through dialogue and perform corresponding tasks more conveniently, greatly reducing the operating threshold, helping medical staff and warehouse managers to flexibly complete tasks such as querying inventory and providing purchasing suggestions, and even act as a work assistant to perform additional work.

[0032] The intelligent voice interaction module 122 is connected to the intelligent automatic charging module 123. The intelligent logistics robot 12 has its own power management function. When the power of the intelligent logistics robot 12 is low, the idle intelligent logistics robot 12 will automatically go to the charging pile to charge. When the power is less than 20%, the intelligent logistics robot 12 will no longer accept new delivery orders and will be forced to charge.

[0033] The data processing system 13 includes a data acquisition and receiving module 131, a data integration processing module 132 and an instruction response feedback module 133. The data acquisition and receiving module 131 is connected to the data integration processing module 132, and the data integration processing module 132 is connected to the instruction response feedback module 133. The system can provide users with authority management according to user requirements, reduce the waste of robot resources, ensure that the goods arrive at the using department on time, and provide multiple authentication methods such as fingerprints, smart cards, face recognition, account passwords, etc.

[0034] The AI ​​identification logistics system 14 includes a camera identification module 141, a scanning confirmation module 142 and a result recording module 143. The camera identification module 141 is connected to the scanning confirmation module 142, the scanning confirmation module 142 is connected to the result recording module 143, the intelligent automatic charging module 123 is connected to the intelligent path planning module 124, and the intelligent logistics robot 12 can identify RFID tags, bar codes, and QR codes to achieve full traceability of materials; it can provide data to the hospital HIS or material management system as required by the hospital. The management system of the intelligent logistics robot 12 can automatically record all delivery information. Hospital managers can easily find the shipper, shipping time, consignee and receipt time of any delivery, making material traceability easier.

[0035] The inventory record synchronization system 15 includes an inventory record synchronization module 151, a balance calculation and analysis module 152, a consumption simulation analysis module 153 and a consumables simulation calculation module 154. The inventory record synchronization module 151 is connected to the balance calculation and analysis module 152, the balance calculation and analysis module 152 is connected to the consumption simulation analysis module 153, and the consumption simulation analysis module 153 is connected to the consumables simulation calculation module 154.

[0036] The collision sensor warning module 121 is respectively arranged in the upper and lower areas of the intelligent logistics robot 12, and combined into a three-dimensional warning sensing area. It adopts dual laser radar + stereo vision fusion navigation. The intelligent logistics robot 12 can travel in both directions without turning around, achieving a true 0 turning radius, allowing it to move flexibly in a 64cm narrow channel, which is suitable for the complex environment of the hospital. The intelligent logistics robot 12 is equipped with multiple directional sensors in the front / rear and up / down, forming a 360° no-dead-angle perception of the intelligent logistics robot 12 to ensure safe operation, without fear of special obstacles such as low, ditches, bed legs, etc., which meets the use requirements in the special environment of the hospital. After discovering obstacles, the intelligent logistics robot 12 actively avoids them. For obstacles that cannot be circumvented, the intelligent logistics robot 12 gradually decelerates to stop, effectively preventing the occurrence of collisions.

[0037] Working principle:

[0038] When working, people can interact with the intelligent logistics robot 12 through voice through the intelligent voice interaction module 122, so as to realize the operation control of the intelligent logistics robot 12. When the intelligent logistics robot 12 receives the control command, it will move through its own driving mechanism, so as to realize the automatic walking of the intelligent logistics robot 12. During the walking process, the collision sensor warning module 121 installed inside the intelligent logistics robot 12 can sense the surrounding environment and avoid surrounding obstacles. At the same time, the AI ​​recognition logistics system 14 installed on the top of the intelligent logistics robot 12 can perform camera recognition of the surrounding environment, and the data processing system 13 can receive the surrounding environment information data captured by the camera recognition module 141. The intelligent path planning module 124 can intelligently plan its own action path according to the received information, so as to realize logistics transportation. When the intelligent logistics robot 12 follows the regulations After the designated path reaches the warehouse, the camera recognition module 141 will perform image recognition on the medicines or tools stored in the warehouse, and then take them down through its own grasping mechanism. After taking them down, the scanning confirmation module 142 can read and identify the serial code on the taken items, so as to realize the secondary confirmation of the requested items. When taking or storing items, the result recording module 143 can record its own outbound or inbound actions, and can synchronize data records through the inventory record synchronization module 151. When the intelligent logistics robot 12 performs logistics reciprocating in and out of the warehouse, the remaining quantity calculation and analysis module 152 can calculate the quantity of each item in the warehouse, and can simulate and analyze the consumption speed of each item based on past work data. After that, the consumables simulation calculation module 154 can calculate each consumable, so that it can replenish the consumables in time before they are consumed, which is conducive to the normal progress of medical treatment.

[0039] The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A logistics safety monitoring system method based on AI video recognition technology, including the following steps: S1. When working, people can interact with the intelligent logistics robot (12) through voice through the intelligent voice interaction module (122), thereby realizing the operation control of the intelligent logistics robot (12). When the intelligent logistics robot (12) receives the control command, it will move through its own driving mechanism, thereby realizing the automatic walking of the intelligent logistics robot (12). During the walking process, the collision sensor warning module (121) installed inside the intelligent logistics robot (12) can sense the surrounding environment and realize the avoidance of surrounding obstacles; S2. The AI ​​identification logistics system (14) installed on the top of the intelligent logistics robot (12) can be used to perform camera recognition of the surrounding environment, and the data processing system (13) can receive the surrounding environment information data captured by the camera recognition module (141), and the intelligent path planning module (124) can be used to intelligently plan its own action path according to the received information, so as to realize logistics transportation work; S3. When the intelligent logistics robot (12) follows the planned path and reaches the warehouse, it will use the camera recognition module (141) to perform image recognition on the medicines or tools stored in the warehouse, and then take them out through its own grasping mechanism. After taking them out, the scanning confirmation module (142) can read and identify the serial code on the taken items, thereby realizing secondary confirmation of the requested items; S4. When taking or storing items, the result recording module (143) can record the outbound or inbound actions, and the inventory recording synchronization module (151) can synchronize data records. When the intelligent logistics robot (12) performs logistics reciprocating inbound and outbound operations, the surplus calculation and analysis module (152) can calculate the quantity of each item in the warehouse, and simulate and analyze the consumption speed of each item based on past work data. After that, the consumables simulation calculation module (154) can calculate each consumable, so that replenishment can be carried out in time before the consumables are consumed. S5. The intelligent calculation prompt system (16) can be combined with cloud computing technology based on real-time logistics data to enable the intelligent logistics robot (12) to perform data analysis and intelligent optimization. By analyzing and predicting cargo demand, the intelligent logistics robot (12) can prepare and dispatch cargo in advance, and use the intelligent path planning module (124) to optimize path planning, thereby improving the efficiency of logistics operations.

2. According to claim 1, a logistics safety monitoring system method based on AI video recognition technology is characterized in that: The invention comprises an intelligent logistics system (1), characterized in that: the intelligent logistics system (1) comprises a central integrated processor (11), an intelligent logistics robot (12), a data processing system (13), an AI identification logistics system (14), an inventory record synchronization system (15) and an intelligent calculation prompt system (16); the central integrated processor (11) is connected to the intelligent logistics robot (12), the data processing system (13), the AI ​​identification logistics system (14), the inventory record synchronization system (15) and the intelligent calculation prompt system (16); the intelligent logistics robot (12) is connected to the data processing system (13); the data processing system (13) is connected to the AI ​​identification logistics system (14); the AI ​​identification logistics system (14) is connected to the inventory record synchronization system (15); and the inventory record synchronization system (15) is connected to the intelligent calculation prompt system (16).

3. According to claim 2, a logistics safety monitoring system method based on AI video recognition technology is characterized in that: The intelligent logistics robot (12) comprises a collision sensor warning module (121), an intelligent voice interaction module (122), an intelligent automatic charging module (123) and an intelligent path planning module (124); the collision sensor warning module (121) is connected to the intelligent voice interaction module (122); the intelligent voice interaction module (122) is connected to the intelligent automatic charging module (123); and the intelligent automatic charging module (123) is connected to the intelligent path planning module (124).

4. According to claim 2, a logistics safety monitoring system method based on AI video recognition technology is characterized in that: The data processing system (13) comprises a data acquisition and receiving module (131), a data integration processing module (132) and an instruction response feedback module (133); the data acquisition and receiving module (131) is connected to the data integration processing module (132), and the data integration processing module (132) is connected to the instruction response feedback module (133).

5. The logistics safety monitoring system method based on AI video recognition technology according to claim 2 is characterized in that: The AI ​​identification logistics system (14) comprises a camera identification module (141), a scanning confirmation module (142) and a result recording module (143); the camera identification module (141) is connected to the scanning confirmation module (142), and the scanning confirmation module (142) is connected to the result recording module (143).

6. The logistics safety monitoring system method based on AI video recognition technology according to claim 2 is characterized by: The inventory record synchronization system (15) comprises an inventory record synchronization module (151), a surplus calculation and analysis module (152), a consumption simulation analysis module (153) and a consumables simulation calculation module (154); the inventory record synchronization module (151) is connected to the surplus calculation and analysis module (152); the surplus calculation and analysis module (152) is connected to the consumption simulation analysis module (153); and the consumption simulation analysis module (153) is connected to the consumables simulation calculation module (154).

7. The method of logistics safety monitoring system based on AI video recognition technology according to claim 3 is characterized by: The collision sensing warning modules (121) are respectively arranged in the upper and lower areas of the intelligent logistics robot (12) and are combined into a three-dimensional warning sensing area.

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