An intelligent monitoring system and method for medical storage data based on the Internet of Things

Abstract

The present invention discloses a medical storage data intelligent supervision system and method based on the Internet of Things, which relates to the technical field of medical storage data intelligent supervision, and includes multiple warehouse-end control units, multiple patch-type storage material tracking modules, a precise storage management and control unit based on the Internet of Things, and a storage management center computer. The warehouse-end control unit of the present invention is provided with a storage environment monitoring module and a material detection module. The environment monitoring module analyzes whether storage abnormalities occur based on the judgment of a set threshold value, thereby realizing comprehensive management and control of the medical material bodies in all storage locations; a precise storage management and control unit based on the Internet of Things is specially provided, and a ground mobile module is combined with an air mobile module to realize precise arrival at a designated storage location, which greatly reduces the difficulty of flight control of the air mobile module in a complex environment. The precise management and control module can realize precise management and control of the storage location, thereby reducing the difficulty of manual management and improving the efficiency of medical goods management.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent supervision of medical storage data, and in particular to an intelligent supervision system and method for medical storage data based on the Internet of Things. Background Art

[0002] Medical warehousing is a warehousing system designed specifically for the storage, management and distribution of medical industry items. In China, the medical warehousing market is developing rapidly, mainly due to the continued growth of the healthcare and pharmaceutical industries, as well as the increasing demand for efficient warehousing, distribution and supply chain management.

[0003] As the demand for medical supplies grows, traditional warehousing and transportation operations face unprecedented challenges, including: low warehouse space utilization and storage space waste. The sharp increase in the types of medical supplies and the number of orders has led to increased labor costs. The warehouse area is too large and manual picking is inefficient. There are many types of medical consumables and there are strict batch delivery requirements, so manual picking is prone to errors.

[0004] Therefore, there is an urgent need to design an intelligent supervision system for medical warehousing data and supporting methods to improve the management efficiency of medical warehousing. Summary of the invention

[0005] In order to solve the above-mentioned medical storage supervision technical problems, the present invention provides a medical storage data intelligent supervision system and method based on the Internet of Things. The following technical solutions are adopted:

[0006] A medical warehouse data intelligent supervision system based on the Internet of Things, including multiple warehouse-end control units, multiple patch-type warehouse material tracking modules, a precise warehouse management and control unit based on the Internet of Things, and a warehouse management center computer. The warehouse-end control unit is provided with a storage environment monitoring module and a material detection module, and the storage environment monitoring module and the material detection module are respectively installed in the storage position of the storage shelf. The storage environment monitoring module detects the temperature and humidity values, nitrogen concentration values, and oxygen concentration values ​​in the storage position. The material detection module is installed in the storage position, and the material in the storage position is detected and matched based on radio frequency data interaction and visual detection. The storage environment monitoring module and the material detection module are respectively connected to the warehouse management center computer for communication. The module is provided with a logistics data RF transmission module. When the patch-type storage material tracking module is mounted on the surface of the medical material body and the medical material body is placed in the storage position, the material detection module reads the RF data transmitted by the logistics data RF transmission module. The precise storage management and control unit includes a ground mobile module, an aerial mobile module and a vision-based precise management and control module. The aerial mobile module is arranged on the top of the ground mobile module. When the ground mobile module moves to the storage position with a set number, the aerial mobile module rises and is located to the side of the storage position with a set number. The precise management and control module is opposite to the storage position with a set number. The computer of the storage management center is wirelessly connected with multiple warehouse-end control units, multiple patch-type storage material tracking modules and precise storage management and control units based on the Internet of Things.

[0007] By adopting the above technical solution, the warehouse-side control unit is provided with a storage environment monitoring module and a material detection module, wherein the storage environment monitoring module can monitor the environment of the storage area, especially the closed storage area. If the medical supplies stored therein, such as drugs, are damaged, it will cause changes in temperature and humidity, such as sodium peroxide, ether, acetone, etc., and volatile medical supplies will also cause changes in local air content. The storage environment monitoring module monitors the temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values, and analyzes whether there is a storage abnormality based on the judgment of the set threshold value. In addition, the material detection module performs in-situ detection and matching detection on the materials in the storage location based on radio frequency data interaction and visual detection. The in-situ detection can be achieved by reading the radio frequency data or visual detection of the patch-type storage material tracking module, and the relevant detection data can be retrieved in real time on the computer of the warehouse management center, realizing comprehensive control of the medical material bodies in all storage locations;

[0008] A precise storage control unit based on the Internet of Things is specially set up. The precise storage control unit is implemented based on ground mobile modules, air mobile modules and vision-based precise control modules;

[0009] Currently, there are aerial mobile modules on the market that can achieve precise warehouse management and control. However, in actual operation, it is very difficult to control the flight of drones with aerial mobile modules in complex warehouse environments, and the effect is not good. Therefore, a combination of ground mobile modules and aerial mobile modules is used to achieve precise arrival at designated storage locations, which greatly reduces the difficulty of flight control of aerial mobile modules in complex environments. At the same time, a take-off platform and charging guarantees are provided. When a storage abnormality is determined in a storage location with a set number, the ground mobile module can be used to move to the bottom of the storage location first, and then the aerial mobile module can be used to lift off to the side of the storage location. The precise control module can be used to achieve precise control of the storage location, which reduces the difficulty of manual management and improves the efficiency of medical supplies management.

[0010] Optionally, the storage environment monitoring module includes a temperature and humidity sensor, an oxygen sensor, a nitrogen sensor, an environmental data storage device and an environmental data analysis chip. The temperature and humidity sensor, oxygen sensor and nitrogen sensor are respectively installed on the side walls of the storage location, and are respectively communicatively connected to the environmental data storage device. The environmental data analysis chip is communicatively connected to the environmental data storage device, and exchanges temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values. Based on the temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values, it is determined whether an environmental abnormality occurs. The environmental data analysis chip exchanges the environmental analysis results of the storage location with the computer of the warehouse management center based on the Internet of Things.

[0011] By adopting the above technical solution, the environmental data analysis chip can set the temperature threshold, humidity threshold, nitrogen concentration threshold and oxygen concentration threshold, and the temperature threshold and humidity threshold can be adaptively adjusted based on the current room temperature and indoor humidity values. Usually, the nitrogen concentration and oxygen concentration in the air are within a set range. When medical supplies leak and release absorbed heat, or release gas, it will inevitably bring about changes in temperature and humidity values, or changes in nitrogen concentration and oxygen concentration. Therefore, through environmental monitoring and analysis, it is possible to judge whether the medical supplies in the storage location are damaged. This damage is likely to be subtle and cannot be visually detected.

[0012] Optionally, the material detection module includes an RFID card reader, an internal monitoring camera and a material detection end memory, the RFID card reader is installed on the top of the inner wall of the storage space, and is used to read the material information radio frequency data of the patch-type storage material tracking module, the internal monitoring camera is installed on the inner wall of the storage space, and captures the image data in the storage space, the RFID card reader and the internal monitoring camera are respectively communicated with the material detection end memory, and the material detection end memory exchanges the material information radio frequency data and the image data in the storage space with the computer of the warehouse management center based on the Internet of Things.

[0013] By adopting the above technical solution, the RFID reader can read the material information radio frequency data of the patch-type warehouse material tracking module, thereby realizing on-site detection. The internal monitoring camera can take pictures of the internal scene, and can be used in conjunction with a fill light to provide internal visual pictures. Visual identification can be performed for deformation, damage, etc. of medical supplies.

[0014] Optionally, the patch-type storage material tracking module includes a patch, an RFID transmitter and a positioning chip, wherein the RFID transmitter and the positioning chip are installed inside the patch, and the patch is mounted on the surface of the medical material body.

[0015] By adopting the above technical solution, the solution of the patch-type warehouse material tracking module is realized based on the electronic tag of RFID radio frequency technology. The RFID transmitter can write the corresponding material information through the RFID writer when entering the warehouse, and the positioning chip can also realize the calibration of the position.

[0016] Optionally, the ground mobile module is an AGV electric car, and the air mobile module is a quad-rotor drone.

[0017] By adopting the above technical solution, AGV electric carts are widely used in the warehousing field. They can autonomously navigate to the corresponding position based on the set plane coordinates. The quadcopter can stably hover at the specified height. The quadcopter cooperates with the AGV electric cart, and there is no need to move in the plane in a complex warehousing environment, which greatly reduces the difficulty of flight control of the quadcopter and reduces the risk of crashing. A drone warehouse can be set on the top of the AGV electric cart, and a charging module can be set inside. After the quadcopter executes the command, it can fall into the drone warehouse and charge.

[0018] Optionally, the precise control and management module includes a bracket, a precise control and management end RFID card reader, a visual camera, a micro X-ray scanner and a control and management end memory. The bottom of the bracket is installed on the top of the aerial mobile module, and the precise control and management end RFID card reader, the visual camera and the micro X-ray scanner are respectively installed on the bracket. When the aerial mobile module is located on the side of a storage location with a set number, the precise control and management end RFID card reader, the visual camera and the micro X-ray scanner are facing the storage location with a set number, and the precise control and management end RFID card reader, the visual camera and the micro X-ray scanner are respectively communicated with the control and management end memory.

[0019] By adopting the above technical solution, when it is judged that a storage abnormality occurs, the precise control module is located on the side of the storage location with the calibration number. If the storage location has an electric door, the electric door can be controlled to open. At this time, the RFID reader at the precise control end can read the material information of the RFID transmitter, the visual camera can capture the outer packaging information corresponding to the material, and the micro X-ray scanner can also scan the material inside the outer packaging, and make consistency judgments based on the above information. The staff can monitor the precise control process throughout the entire process based on the Internet of Things on the computer in the warehouse management center, greatly improving the efficiency of medical warehouse data supervision.

[0020] Optionally, multiple warehouse-end control units, multiple patch-type warehouse material tracking modules, and precise warehouse management and control units based on the Internet of Things are all equipped with wireless communication modules, and are wirelessly connected to the warehouse management center computer based on the wireless communication modules.

[0021] Optionally, the wireless communication module is a wireless AP, which is connected to the terminal wireless AP of the warehouse management center computer through wireless communication based on wireless networking.

[0022] By adopting the above technical solution, the wireless communication module can also be implemented based on a 4G / 5G wireless module or based on ZigBee wireless technology.

[0023] A medical storage data intelligent management method based on the Internet of Things, using a medical storage data intelligent supervision system based on the Internet of Things to intelligently manage multiple storage locations of storage shelves, including the following steps:

[0024] Step 1: Before the medical material body to be stored is stored, the material information and storage location number data are entered into the storage management computer, the corresponding material information is written into the RFID transmitter through the RFID writer, and the patch is attached to the top surface of the medical material body and placed in the storage location with the corresponding number;

[0025] Step 2: During the storage process, the environmental data analysis chip exchanges temperature and humidity values, nitrogen concentration values, and oxygen concentration values ​​with the environmental data storage device, and determines whether an environmental abnormality occurs based on the temperature and humidity values, nitrogen concentration values, and oxygen concentration values. The environmental data analysis chip exchanges the environmental analysis results of the storage location with the computer of the warehouse management center based on the Internet of Things;

[0026] Step 3: When an abnormality is detected, the computer of the warehouse management center calls the internal surveillance camera data of the corresponding number, displays the internal visual information of the corresponding storage location, and issues an alarm;

[0027] Step 4: In response to the alarm information, the staff exchanges precise control instructions with the precise storage control unit through the computer of the storage management center. The precise control instructions include the plane positioning data and height positioning data of the corresponding numbered storage location. The ground mobile module first navigates to the bottom of the corresponding numbered storage location based on the plane positioning data, and the aerial mobile module rises and is located on the side of the corresponding numbered storage location based on the height positioning data. The precise control module faces the storage location with the set number. The computer of the storage management center calls the data of the precise control end RFID reader, visual camera and micro X-ray scanner based on the Internet of Things to realize the judgment of whether the appearance of the medical material body in the corresponding numbered storage location is complete, whether the internal items are correct, and whether the storage data is correct;

[0028] Step 5: The staff manually analyzes the judgment results of step 4 and formulates a solution to the storage anomaly.

[0029] Optionally, in step 2, the environmental data analysis chip sets a temperature threshold, a humidity threshold, a nitrogen concentration threshold and an oxygen concentration threshold. When it is determined that the temperature and humidity values, the nitrogen concentration values ​​and the oxygen concentration values ​​exceed the corresponding thresholds, it is determined that an environmental abnormality occurs.

[0030] In summary, the present invention includes at least one of the following beneficial technical effects:

[0031] The present invention can provide a medical storage data intelligent supervision system and method based on the Internet of Things. The warehouse-side control unit is provided with a storage environment monitoring module and a material detection module. The storage environment monitoring module monitors the environment of the storage area. The storage environment monitoring module monitors the temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values, and analyzes whether storage abnormalities occur based on the judgment of the set threshold value. In addition, the material detection module performs in-situ detection and matching detection on the materials in the storage location based on radio frequency data interaction and visual detection, thereby realizing comprehensive control of the medical material bodies in all storage locations.

[0032] A precise storage control unit based on the Internet of Things is specially set up, which adopts the method of combining ground mobile module with air mobile module to achieve precise arrival at the designated storage location, greatly reducing the difficulty of flight control of the air mobile module in complex environments, and also provides a take-off platform and charging guarantee. When it is judged that a storage abnormality occurs in the storage location with a set number, it first moves to the bottom of the storage location through the ground mobile module, and then lifts off to the side of the storage location through the air mobile module. The precise control module can realize precise control of the storage location, reducing the difficulty of manual management and improving the efficiency of medical supplies management. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a schematic diagram of component communication connection of a medical storage data intelligent supervision system based on the Internet of Things of the present invention;

[0034] Figure 2 It is a schematic diagram of storage locations of a medical storage data intelligent supervision system based on the Internet of Things of the present invention;

[0035] Figure 3 This is a schematic diagram of the precise control status of a medical storage data intelligent supervision system based on the Internet of Things in the present invention;

[0036] Figure 4 It is a structural schematic diagram of a precise control module of an intelligent supervision system for medical storage data based on the Internet of Things of the present invention.

[0037] Description of the drawings: 11. Storage environment monitoring module; 111. Temperature and humidity sensor; 112. Oxygen sensor; 113. Nitrogen sensor; 114. Environmental data storage device; 115. Environmental data analysis chip; 12. Material detection module; 121. RFID reader; 122. Internal monitoring camera; 123. Material detection end storage device; 2. Patch-type warehouse material tracking module; 21. Patch; 22. RFID transmitter; 23. Positioning chip; 3. Precision warehouse management and control unit; 31. Ground mobile module; 32. Air mobile module; 33. Precision management and control module; 331. Bracket; 332. Precision management and control end RFID reader; 333. Visual camera; 334. Micro X-ray scanner; 335. Management and control end storage device; 100. Warehouse management center computer; 101. Storage location; 102. Medical material body. DETAILED DESCRIPTION

[0038] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0039] The embodiment of the present invention discloses a medical storage data intelligent supervision system and method based on the Internet of Things.

[0040] Reference Figure 1-Figure 4, a medical storage data intelligent supervision system based on the Internet of Things, including multiple warehouse-end control units, multiple patch-type storage material tracking modules 2, precise storage control units 3 based on the Internet of Things and a storage management center computer 100, the warehouse-end control unit is provided with a storage environment monitoring module 11 and a material detection module 12, the storage environment monitoring module 11 and the material detection module 12 are respectively installed in the storage position 101 of the storage shelf, the storage environment monitoring module 11 detects the temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values ​​in the storage position 101, the material detection module 12 is installed in the storage position 101, based on radio frequency data interaction and visual detection, the material in the storage position 101 is detected and matched, the storage environment monitoring module 11 and the material detection module 12 are respectively connected to the computer 100 of the storage management center for communication, the patch-type storage material tracking module 2 is provided with an RF ID transmitter 22, when the patch-type storage material tracking module 2 is mounted on the surface of the medical material body 102 and the medical material body 102 is placed in the storage position 101, the material detection module 12 reads the radio frequency data emitted by the RFID transmitter 22, and the precise storage management and control unit 3 includes a ground mobile module 31, an aerial mobile module 32 and a vision-based precise management and control module 33, the aerial mobile module 32 is arranged on the top of the ground mobile module 31, when the ground mobile module 31 moves to the storage position 101 with a set number, the aerial mobile module 32 rises and is located on the side of the storage position 101 with a set number, and the precise management and control module 33 is opposite to the storage position 101 with a set number, and the storage management center computer 100 is wirelessly connected with multiple warehouse-end control units, multiple patch-type storage material tracking modules 2 and precise storage management and control units 3 based on the Internet of Things.

[0041] The warehouse-side control unit is provided with a storage environment monitoring module 11 and a material detection module 12, wherein the storage environment monitoring module 11 can monitor the environment of the area where the storage location 101 is located, especially the closed storage location 101. If the medical supplies stored therein, such as drugs, are damaged, it will cause changes in temperature and humidity, such as sodium peroxide, ether, acetone, etc., and volatile medical supplies will also cause changes in local air content. The storage environment monitoring module 11 monitors the temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values, and analyzes whether there is a storage abnormality based on the judgment of the set threshold value. In addition, the material detection module 12 performs in-situ detection and matching detection on the materials in the storage location 101 based on radio frequency data interaction and visual detection. The in-situ detection can be achieved by reading the radio frequency data or visual detection of the patch-type storage material tracking module 2, and the relevant detection data can be retrieved in real time on the computer 100 of the warehouse management center, thereby realizing comprehensive control of the medical material bodies 102 in all storage locations 101;

[0042] A precise storage control unit 3 based on the Internet of Things is specially provided, and the precise storage control unit 3 is implemented based on a ground mobile module 31, an air mobile module 32 and a vision-based precise control module 33;

[0043] Currently, there are devices on the market that use aerial mobile modules 32 to achieve precise warehouse management and control. However, in actual operation, the flight control of the drone using the aerial mobile module 32 is very difficult in a complex warehouse environment, and the effect is not good. Therefore, the ground mobile module 31 is combined with the aerial mobile module 32 to achieve precise arrival at the designated storage location 101, which greatly reduces the difficulty of flight control of the aerial mobile module 32 in a complex environment. At the same time, a take-off platform and charging guarantee are provided. When a storage abnormality is determined to occur in the storage location 101 with a set number, the ground mobile module 31 can be used to move to the bottom of the storage location 101, and then the aerial mobile module 32 can be used to lift off to the side of the storage location 101. The precise control module 33 can be used to achieve precise control of the storage location 101, which reduces the difficulty of manual management and improves the efficiency of medical supplies management.

[0044] The storage environment monitoring module 11 includes a temperature and humidity sensor 111, an oxygen sensor 112, a nitrogen sensor 113, an environmental data storage device 114 and an environmental data analysis chip 115. The temperature and humidity sensor 111, the oxygen sensor 112 and the nitrogen sensor 113 are respectively installed on the side walls of the storage location 101, and are respectively communicated with the environmental data storage device 114. The environmental data analysis chip 115 is communicated with the environmental data storage device 114 to exchange temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values, and judge whether an environmental abnormality occurs based on the temperature and humidity values, nitrogen concentration values ​​and oxygen concentration values. The environmental data analysis chip 115 exchanges the environmental analysis results of the storage location 101 with the warehouse management center computer 100 based on the Internet of Things.

[0045] The environmental data analysis chip 115 can set temperature thresholds, humidity thresholds, nitrogen concentration thresholds and oxygen concentration thresholds, and the temperature thresholds and humidity thresholds can be adaptively adjusted based on the current room temperature and indoor humidity values. Normally, the nitrogen concentration and oxygen concentration in the air are within a set range. When medical supplies leak and release absorbed heat, or release gas, it will inevitably bring about changes in temperature and humidity values, or changes in nitrogen concentration and oxygen concentration. Therefore, through environmental monitoring and analysis, it is possible to determine whether the medical supplies in the storage location 101 are damaged. The damage is likely to be subtle and cannot be visually detected.

[0046] The material detection module 12 includes an RFID reader 121, an internal monitoring camera 122 and a material detection end memory 123. The RFID reader 121 is installed on the top of the inner wall of the storage location 101, and is used to read the material information radio frequency data of the patch-type storage material tracking module 2. The internal monitoring camera 122 is installed on the inner wall of the storage location 101 to shoot the image data in the storage location 101. The RFID reader 121 and the internal monitoring camera 122 are respectively communicated with the material detection end memory 123. The material detection end memory 123 interacts with the warehouse management center computer 100 based on the Internet of Things to exchange material information radio frequency data and image data in the storage location 101.

[0047] The RFID reader 121 can read the material information radio frequency data of the patch-type warehouse material tracking module 2, thereby realizing on-site detection. The internal monitoring camera 122 can take pictures of the internal scene, and can be used in conjunction with a fill light to provide an internal visual picture. Visual identification can be performed for deformation, damage, etc. of medical supplies.

[0048] The patch-type storage material tracking module 2 includes a patch 21 , an RFID transmitter 22 and a positioning chip 23 . The RFID transmitter 22 and the positioning chip 23 are installed inside the patch 21 , and the patch 21 is mounted on the surface of the medical material body 102 .

[0049] The solution of the patch-type warehouse material tracking module 2 is implemented based on the electronic tag of RFID radio frequency technology. The RFID transmitter 22 can write the corresponding material information through the RFID writer when entering the warehouse, and the positioning chip 23 can also realize the calibration of the position.

[0050] The ground mobile module 31 is an AGV electric vehicle, and the air mobile module 32 is a four-rotor drone.

[0051] AGV electric carts are widely used in the warehousing field. They can autonomously navigate to the corresponding position based on the set plane coordinates. The quadcopter can stably hover at a specified height. The quadcopter cooperates with the AGV electric cart, so there is no need to move in the plane in a complex warehousing environment, which greatly reduces the difficulty of flight control of the quadcopter and reduces the risk of crashing. A drone warehouse can be set on the top of the AGV electric cart, and a charging module can be set inside. After the quadcopter executes the command, it can fall into the drone warehouse and charge.

[0052] The precise control module 33 includes a bracket 331, a precise control end RFID reader 332, a visual camera 333, a micro X-ray scanner 334 and a control end memory 335. The bottom of the bracket 331 is installed on the top of the aerial mobile module 32, and the precise control end RFID reader 332, the visual camera 333 and the micro X-ray scanner 334 are respectively installed on the bracket 331. When the aerial mobile module 32 is located on the side of the storage position 101 with a set number, the precise control end RFID reader 332, the visual camera 333 and the micro X-ray scanner 334 are facing the storage position 101 with a set number, and the precise control end RFID reader 332, the visual camera 333 and the micro X-ray scanner 334 are respectively communicated with the control end memory 335.

[0053] When it is determined that a storage abnormality occurs, the precise control module 33 is located on the side of the storage location 101 with the calibration number. If the storage location 101 has an electric door, the electric door can be controlled to open. At this time, the precise control end RFID reader 332 can read the material information of the RFID transmitter 22, the visual camera 333 can capture the outer packaging information corresponding to the material, and the micro X-ray scanner 334 can also scan the material inside the outer packaging, and make consistency judgments based on the above information. The staff can monitor the precise control process throughout the entire process based on the Internet of Things on the computer 100 of the warehouse management center, thereby greatly improving the efficiency of medical warehouse data supervision.

[0054] Multiple warehouse-end control units, multiple patch-type storage material tracking modules 2, and precise storage management and control units 3 based on the Internet of Things are all equipped with wireless communication modules, and are wirelessly connected to the storage management center computer 100 based on the wireless communication modules.

[0055] The wireless communication module is a wireless AP, which is wirelessly connected to the terminal wireless AP of the warehouse management center computer 100 based on wireless networking.

[0056] The wireless communication module can also be implemented based on a 4G / 5G wireless module or based on ZigBee wireless technology.

[0057] A medical storage data intelligent management method based on the Internet of Things, using a medical storage data intelligent supervision system based on the Internet of Things to intelligently manage multiple storage locations 101 of storage shelves, including the following steps:

[0058] Step 1: Before the medical material body 102 is put into storage, the material information and the number data of the storage location 101 are input into the storage management computer, the corresponding material information is written into the RFID transmitter 22 through the RFID writer, and the patch 21 is attached to the top surface of the medical material body 102 and placed into the storage location 101 with the corresponding number;

[0059] Step 2: During the storage process, the environmental data analysis chip 115 exchanges temperature and humidity values, nitrogen concentration values, and oxygen concentration values ​​with the environmental data storage device 114, and determines whether an environmental abnormality occurs based on the temperature and humidity values, nitrogen concentration values, and oxygen concentration values. The environmental data analysis chip 115 exchanges the environmental analysis results of the storage location 101 with the warehouse management center computer 100 based on the Internet of Things;

[0060] Step 3, when it is determined that an abnormality occurs, the warehouse management center computer 100 calls the data of the internal monitoring camera 122 with the corresponding number, displays the internal visual information of the corresponding storage location 101, and issues an alarm;

[0061] Step 4, the staff responds to the alarm information and exchanges precise control instructions with the precise storage control unit 3 through the computer 100 of the warehouse management center. The precise control instructions include the plane positioning data and the height positioning data of the corresponding numbered storage position 101. The ground mobile module 31 first navigates to the bottom of the corresponding numbered storage position 101 based on the plane positioning data, and the air mobile module 32 rises and is located on the side of the corresponding numbered storage position 101 based on the height positioning data. The precise control module 33 faces the storage position 101 with a set number. The computer 100 of the warehouse management center respectively calls the data of the precise control end RFID reader 332, the visual camera 333 and the micro X-ray scanner 334 based on the Internet of Things to realize the judgment of whether the appearance of the medical material body 102 in the corresponding numbered storage position 101 is complete, whether the internal items are correct, and whether the storage data is correct;

[0062] Step 5: The staff manually analyzes the judgment results of step 4 and formulates a solution to the storage anomaly.

[0063] In step 2, the environmental data analysis chip 115 sets a temperature threshold, a humidity threshold, a nitrogen concentration threshold and an oxygen concentration threshold. When it is determined that the temperature and humidity values, the nitrogen concentration values ​​and the oxygen concentration values ​​exceed the corresponding thresholds, it is determined that an environmental abnormality occurs.

[0064] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent supervision system for medical storage data based on the Internet of Things, characterized by: The invention comprises a plurality of warehouse control units, a plurality of patch-type storage material tracking modules (2), an accurate storage control unit (3) based on the Internet of Things, and a storage management center computer (100). The warehouse control unit is provided with a storage environment monitoring module (11) and a material detection module (12). The storage environment monitoring module (11) and the material detection module (12) are respectively installed at a storage position (101) of a storage shelf. The storage environment monitoring module (11) detects the temperature and humidity values, nitrogen concentration value, and oxygen concentration value in the storage position (101). The material detection module (12) is installed at the storage position (101) and performs on-site detection and matching detection on the materials in the storage position (101) based on radio frequency data interaction and visual detection. The storage environment monitoring module (11) and the material detection module (12) are respectively connected to the storage management center computer (100) for communication. The patch-type storage material tracking module (2) is provided with an RFID transmitter (22). When the patch-type storage material tracking module (2) is installed at the storage position (101), the storage environment monitoring module (11) detects the temperature and humidity values, nitrogen concentration value, and oxygen concentration value in the storage position (101). The material detection module (12) is installed at the storage position (101) and performs on-site detection and matching detection on the materials in the storage position (101). The sheet-type storage material tracking module (2) is mounted on the surface of the medical material body (102), and when the medical material body (102) is placed in the storage position (101), the material detection module (12) reads the radio frequency data emitted by the RFID transmitter (22). The precise storage control unit (3) comprises a ground moving module (31), an aerial moving module (32) and a vision-based precise control module (33). The aerial moving module (32) is arranged on the top of the ground moving module (31). When the ground moving module (31) moves to the position directly below the storage position (101) with a set number, the aerial moving module (32) rises and is located to the side of the storage position (101) with a set number. The precise control module (33) is directly opposite to the storage position (101) with a set number. The storage management center computer (100) is wirelessly connected to the plurality of warehouse-end control units, the plurality of sheet-type storage material tracking modules (2) and the precise storage control unit (3) based on the Internet of Things.

2. According to claim 1, a medical storage data intelligent supervision system based on the Internet of Things is characterized by: The storage environment monitoring module (11) comprises a temperature and humidity sensor (111), an oxygen sensor (112), a nitrogen sensor (113), an environmental data storage device (114), and an environmental data analysis chip (115). The temperature and humidity sensor (111), the oxygen sensor (112), and the nitrogen sensor (113) are respectively installed on the side wall of the storage location (101), and are respectively connected to the environmental data storage device (114) for communication. The environmental data analysis chip (115) is connected to the environmental data storage device (114) for communication, and exchanges temperature and humidity values, nitrogen concentration values, and oxygen concentration values. Based on the temperature and humidity values, nitrogen concentration values, and oxygen concentration values, it is determined whether an environmental abnormality occurs. The environmental data analysis chip (115) exchanges environmental analysis results of the storage location (101) with a storage management center computer (100) based on the Internet of Things.

3. According to claim 2, a medical storage data intelligent supervision system based on the Internet of Things is characterized by: The material detection module (12) comprises an RFID card reader (121), an internal monitoring camera (122) and a material detection end memory (123). The RFID card reader (121) is installed on the top of the inner wall of the storage location (101) and is used to read the material information radio frequency data of the patch-type storage material tracking module (2). The internal monitoring camera (122) is installed on the inner wall of the storage location (101) and captures the image data in the storage location (101). The RFID card reader (121) and the internal monitoring camera (122) are respectively connected to the material detection end memory (123) for communication. The material detection end memory (123) exchanges the material information radio frequency data and the image data in the storage location (101) with the storage management center computer (100) based on the Internet of Things.

4. According to claim 3, the medical storage data intelligent supervision system based on the Internet of Things is characterized by: The patch-type storage material tracking module (2) comprises a patch (21), an RFID transmitter (22) and a positioning chip (23), wherein the RFID transmitter (22) and the positioning chip (23) are installed inside the patch (21), and the patch (21) is mounted on the surface of a medical material body (102).

5. According to claim 4, a medical storage data intelligent supervision system based on the Internet of Things is characterized by: The ground mobile module (31) is an AGV electric vehicle, and the aerial mobile module (32) is a four-rotor drone.

6. According to claim 5, a medical storage data intelligent supervision system based on the Internet of Things is characterized by: The precise control module (33) comprises a bracket (331), a precise control end RFID card reader (332), a visual camera (333), a micro X-ray scanner (334) and a control end memory (335); the bottom of the bracket (331) is mounted on the top of the aerial mobile module (32); the precise control end RFID card reader (332), the visual camera (333) and the micro X-ray scanner (334) are respectively mounted on the bracket (331); when the aerial mobile module (32) is located to the side of a storage location (101) with a set number, the precise control end RFID card reader (332), the visual camera (333) and the micro X-ray scanner (334) face the storage location (101) with a set number; the precise control end RFID card reader (332), the visual camera (333) and the micro X-ray scanner (334) are respectively connected to the control end memory (335) for communication.

7. According to claim 6, a medical storage data intelligent supervision system based on the Internet of Things is characterized by: A plurality of warehouse-end control units, a plurality of patch-type storage material tracking modules (2), and an Internet of Things-based precise storage control unit (3) are all provided with wireless communication modules, and are respectively wirelessly connected to a storage management center computer (100) based on the wireless communication modules.

8. The medical storage data intelligent supervision system based on the Internet of Things according to claim 7 is characterized by: The wireless communication module is a wireless AP, which is wirelessly connected to the terminal wireless AP of the warehouse management center computer (100) based on wireless networking.

9. An intelligent management method for medical storage data based on the Internet of Things, characterized by: The intelligent management system for medical storage data based on the Internet of Things as described in claim 7 is used to intelligently manage multiple storage locations (101) of storage shelves, comprising the following steps: Step 1, before the medical material body (102) to be stored is stored, the material information and the number data of the storage location (101) are entered into the storage management computer, the corresponding material information is written into the RFID transmitter (22) through the RFID writer, and the patch (21) is attached to the top surface of the medical material body (102), and is placed in the storage location (101) with the corresponding number; Step 2: During the storage process, the environmental data analysis chip (115) exchanges temperature and humidity values, nitrogen concentration values, and oxygen concentration values ​​with the environmental data storage device (114), and determines whether an environmental abnormality occurs based on the temperature and humidity values, nitrogen concentration values, and oxygen concentration values. The environmental data analysis chip (115) exchanges the environmental analysis results of the storage location (101) with the computer (100) of the storage management center based on the Internet of Things. Step 3, when it is determined that an abnormality occurs, the warehouse management center computer (100) calls the data of the internal monitoring camera (122) with the corresponding number, displays the internal visual information of the corresponding storage location (101), and issues an alarm; Step 4, the staff responds to the alarm information and exchanges precise control instructions with the precise storage control unit (3) through the storage management center computer (100). The precise control instructions include the plane positioning data and the height positioning data of the corresponding numbered storage location (101). The ground mobile module (31) first navigates and moves to the bottom of the corresponding numbered storage location (101) based on the plane positioning data. The aerial mobile module (32) rises and is located to the side of the corresponding numbered storage location (101) based on the height positioning data. The precise control module (33) faces the storage location (101) with a set number. The storage management center computer (100) uses the data of the precise control end RFID reader (332), the visual camera (333) and the micro X-ray scanner (334) based on the Internet of Things to realize the judgment of whether the appearance of the medical material body (102) in the corresponding numbered storage location (101) is complete, whether the internal items are correct, and whether the storage data is correct. Step 5: The staff manually analyzes the judgment results of step 4 and formulates a solution to the storage anomaly.

10. The method for intelligent management of medical storage data based on the Internet of Things according to claim 9, characterized in that: In step 2, the environmental data analysis chip (115) sets a temperature threshold, a humidity threshold, a nitrogen concentration threshold, and an oxygen concentration threshold. When it is determined that the temperature and humidity values, the nitrogen concentration value, and the oxygen concentration value exceed the corresponding thresholds, it is determined that an environmental abnormality occurs.

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