Real object flow direction intelligent management and control method based on Internet of Things

Abstract

The invention relates to a real object flow direction intelligent management and control method based on the Internet of Things, and the method comprises the steps: 1, each real object is provided with an RFID electronic tag, the RFID electronic tags receive the state signals and environment parameters of the real objects collected by different sensors in real time, and an RFID reader-writer can read or write data in the RFID electronic tags; step 2, the RFID reader-writer transmits the state signal and the environment parameter of the real object to one or more of a data medium station, a mobile terminal or operation equipment through a signal transmitting device; 3, acquiring basic data of each link in the flow direction of the real object in real time by a data middle platform, and performing data storage and calculation by a data layer; and step 4, based on the calculation result of the data layer, building a real object flow direction management and control model, and based on the real object flow direction management and control model, carrying out real object whole-course flow direction management. According to the invention, by constructing the intelligent management and control of the flow direction of the real object, the datamation and visualization of the service flow are realized, the standardization and transparency of material management are improved, and the lean management of the flow direction of the real object is enabled by data elements.

Description

Technical Field

[0001] The present invention relates to a monitoring and management method in a material flow process, and in particular to an intelligent management and control method for material flow based on the Internet of Things. Background Art

[0002] The power Internet of Things is a smart grid system based on the Internet of Things technology, which aims to achieve intelligent management and coordination between energy production, transmission, distribution and users. The system uses various intelligent devices, sensors, Internet of Things protocols and other advanced technical means to monitor, predict and optimize the operation status of the power system, improve energy efficiency, reduce costs, and ensure the stable and safe operation of the power system.

[0003] With the continuous development and application of Internet of Things technology, the power Internet of Things, as an important branch of the Internet of Things, is gaining more and more attention. The device network of the power Internet of Things includes various transformers, sensors, smart meters, controllers, etc., and interacts with other systems to form a large and complex network.

[0004] The transportation, warehousing, and construction of materials such as power equipment and its related accessories have also been added to the Internet of Things. The safety of materials and compliance operations need to be monitored in real time to avoid unexpected damage and accidents. In addition, the efficient implementation and supervision of materials needs to be improved. Summary of the invention

[0005] The present invention designs an intelligent management and control method for physical flow based on the Internet of Things. The technical problem it solves is that the transportation, warehousing and construction of a large number of existing materials need to be added to the Internet of Things, and the safety and compliance operations of their materials also need to be monitored in real time to avoid unexpected damage and accidents.

[0006] In order to solve the above-mentioned technical problems, the present invention adopts the following solutions:

[0007] A method for intelligent management and control of physical flow based on the Internet of Things, comprising the following steps:

[0008] Step 1: Each physical object is equipped with an RFID electronic tag, which receives status signals and environmental parameters of the physical object collected by different sensors in real time, and the RFID reader can read or write data in the RFID electronic tag;

[0009] Step 2: The RFID reader / writer transmits the state signal and environmental parameters of the physical object to one or more of the data center, mobile terminal or operating device through a signal sending device;

[0010] Step 3: The data center collects basic data of each link in the physical flow in real time, and the data layer performs data storage and calculation;

[0011] Step 4: Based on the calculation results of the data layer, build a physical flow control model, and manage the entire physical flow based on the physical flow control model.

[0012] Preferably, in step 1, the supplier-construction site mode: the ordered physical objects are directly delivered to the construction site by the supplier, and the supplier or carrier's mobile terminal writes the key logistics information of the physical objects and uploads the purchase order number at the same time. The data center automatically matches the procurement information: including destination, material type, quantity, technical specifications, financial information and logistics information. With the help of the GNSS terminal application, the process data collected by different sensors are transmitted to the data center. The logistics trajectory of the physical objects can be visualized and checked in real time, and real-time online monitoring of impact acceleration, inclination or speed safety parameters can be achieved, which can ensure the quality and safety of materials during transportation.

[0013] Preferably, in step 1, the supplier-material warehouse-construction site mode is as follows: the supplier first delivers the physical goods to the material warehouse, the material warehouse handles the warehousing of the physical goods, and the physical goods after warehousing are sequentially shipped out of the warehouse and delivered to the construction site according to the material requisition form; when entering the warehouse, an RFID electronic tag will be assigned to each physical object, and the physical object information will be transmitted to the data center by using the RFID electronic tag and the signal sending device of the RFID reader / writer to form the warehouse inventory management data: basic information of the physical object, warehousing time and storage location; when leaving the warehouse, the physical object, the shipping form and the material requisition form will be bound and written into the RFID electronic tag, and the project to be put into production will be marked on the material requisition form.

[0014] Preferably, the supervision mode of construction site materials in step 1 is: after the physical objects are delivered to the construction site, there will be an acceptance process in which the RFID reader / writer writes the RFID electronic tag. After the acceptance, it will be assumed that the materials have been put into production in the project; if the physical objects have not actually been put into production, the physical objects will be sent back to the material warehouse / professional warehouse, which is called "return of materials". The return of materials still needs to go through the return procedure in which the RFID reader / writer writes the RFID electronic tag. The materials and the construction project are untied through the return order and bound to the corresponding storage location.

[0015] Preferably, the different sensors in step 1 include at least a weighing sensor, an impact sensor and an angle sensor. The physical object is located in a packaging box. The weighing sensor can weigh the packaging box and the physical object therein; the impact sensor is installed on the buffer support plates on both sides of the packaging box. The impact sensor will be activated when the physical object moves toward the buffer support plates on both sides of the packaging box; the angle sensor can sense the tilt angle of the packaging box.

[0016] Preferably, in step 1, S1, the impact sensor obtains the impact acceleration a data: the impact sensor measures the impact acceleration a of the physical object on the buffer support plate; S2, calculates the impact velocity v per unit time of the physical object on the buffer support plate according to the impact acceleration a: the impact force is obtained by measuring the mass of the object and the calculated acceleration: F=m×a, F=impact force, a=impact acceleration, m=physical mass; the impact force is equal to the momentum of the object changed per unit time, and the momentum (p) is equal to the mass (m) of the physical object multiplied by the velocity (v), that is, p=m*v; the mass (m) of the physical object comes from the difference between the total mass of the output value of the weighing sensor and the mass of the packaging box; the velocities of the physical object on the buffer support plate before and after the impact are v1 and v2 respectively, v=v2-v1, and the impact time is t, and v is calculated by the following formula: F=(m*v) / t; v=F*t / m;

[0017] S3. Determine whether the moving speed of the packaging box is reduced and the reduction value according to the value of the unit impact velocity v; set two thresholds for F: F1 is the absolute danger value and F2 is the relative danger value, F1>F2; when F≥F1 is calculated according to the output a of the impact sensor, the first drive device of the sling stops working, so that the moving speed of the packaging box returns to 0; when F1<F≤F2 is calculated according to the output a of the impact sensor, the first drive device of the sling adjusts the moving speed of the packaging box to v3-v*b, wherein v3 is the running speed of the packaging box when the impact sensor measures a, and b is a safety constant.

[0018] Preferably, the hanger controls the acceleration of the movement of the packaging box through the first drive device, switching the speed once every Mms, where M is a natural number, to achieve the control of the change of acceleration in the vertical or horizontal direction of the packaging box; the change of acceleration is divided into multiple sections according to the "difference between the target speed and the current speed", and the magnitude of acceleration in each section uses different acceleration magnitudes according to the mass of the actual object and the fact that the actual object will not move relative to the packaging box.

[0019] Preferably, the angle sensor measures the inclination angle between the packaging box and the ground, and when F1<F≤F2 is calculated based on the output a of the impact sensor, the second driving device of the crane reduces the inclination angle.

[0020] Preferably, N packaging boxes are stacked into an N-layer structure, N ≥ 2, and the data output by the weighing sensor of the bottom layer contains the mass of the N packaging boxes and the actual objects inside them; when the mass data output by the weighing sensor of a certain packaging box and all the weighing sensors below it becomes smaller, it indicates that the actual objects in the packaging box have leaked, and the data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box of the leaked actual object; when the mass data output by the weighing sensor of a certain packaging box and all the weighing sensors below it becomes larger, it indicates that rainwater has entered the packaging box, and the data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box of the leaked actual object.

[0021] Preferably, the physical flow control model includes one or more of the time, position, impact acceleration, inclination, speed, mass, temperature, humidity and light intensity parameters inside the packaging box after the physical object is affixed with an RFID electronic tag.

[0022] The intelligent control method of physical flow based on the Internet of Things has the following beneficial effects:

[0023] (1) The present invention realizes the digitization and visualization of business flows by building intelligent control of physical flow, improves the standardization and transparency of material management, and enables lean management of physical flow with data elements.

[0024] (2) The present invention, through the coordination of multiple sensors, can not only realize the safe monitoring of the flow direction of the physical objects, but also actively adjust the moving speed of the physical objects to avoid collision and damage between the physical objects and the box.

[0025] (3) The main purpose of the acceleration control of the present invention is to avoid the shaking of the hoisted object due to the excessively fast and uneven change speed.

[0026] (4) The present invention can not only realize speed control through the weighing sensor, but also monitor whether the packaging box is damaged, leaking, or has water ingress. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 : Schematic diagram of signal transmission between hardware in the present invention;

[0028] Figure 2 : Schematic diagram of the packaging box structure in the present invention;

[0029] Figure 3 : A block flow chart of the method for intelligent control of physical flow based on the Internet of Things of the present invention;

[0030] Figure 4 : A block flow chart of the present invention for adjusting the movement speed of the packaging box according to the impact acceleration.

[0031] Description of reference numerals:

[0032] 1—packaging box; 11—weighing sensor; 12—impact sensor; 13—angle sensor; 14—buffer support plate; 15—buffer spring; 2—hanging device; 3—actual object. DETAILED DESCRIPTION

[0033] Combine the following Figures 1 to 4 , the present invention is further described:

[0034] like Figure 1 As shown, the hardware used in the method for intelligent control of physical flow based on the Internet of Things of the present invention is connected in the following manner:

[0035] Each physical object 3 is provided with an RFID electronic tag, and the sensing data output by the weighing sensor 11, the impact sensor 12 and the angle sensor 13 are respectively stored in the RFID electronic tag. The RFID reader is installed on the sling 2. When the sling 2 is close to the physical object 3, the RFID reader reads the sensing data output by the weighing sensor 11, the impact sensor 12 and the angle sensor 13, and transmits it to one or more of the data center, the mobile terminal or the operating device through a signal sending device.

[0036] The data center includes a basic platform and a data governance platform. The data center is used to interact and coordinate customer value data in various business systems. It can store raw data and processed data in the data server. The mobile terminal can be a mobile phone or a mobile tablet. The operating device can be a control unit of a spreader.

[0037] like Figure 2 As shown, the installation relationship between multiple sensors and the physical object 3 and the packaging box 1 is as follows: the physical object 3 is located in the packaging box 1, and the weighing sensor 11 can weigh the packaging box 1 and the physical object 3 therein; the impact sensor 12 is installed on the buffer support plates 14 on both sides of the packaging box 1, and the impact sensor 12 will be activated when the physical object 3 moves toward the buffer support plates 14 on both sides of the packaging box 1; the angle sensor 13 can sense the tilt angle of the packaging box 1.

[0038] like Figure 3 As shown, the method for intelligent control of physical flow based on the Internet of Things of the present invention comprises the following steps:

[0039] Step 1: Each physical object 3 is provided with an RFID electronic tag, which receives status signals and environmental parameters of the physical object 3 collected by different sensors in real time, and the RFID reader can read or write data in the RFID electronic tag.

[0040] Step 2: The RFID reader / writer transmits the status signal and environmental parameters of the object 3 to one or more of the data center, mobile terminal or operating device through a signal sending device.

[0041] Step 3: The data center collects basic data from each link in the physical flow in real time, and the data layer performs data storage and calculation.

[0042] Step 4: Based on the calculation results of the data layer, build a physical flow control model, and manage the entire physical flow based on the physical flow control model.

[0043] The RFID electronic tag in step 1 receives status signals and environmental parameters of the object 3 collected by different sensors in real time, including but not limited to the following modes:

[0044] In step 1, in the supplier-construction site mode, the ordered physical objects are directly delivered to the construction site by the supplier. The supplier or carrier's mobile terminal writes the key logistics information of the physical objects and uploads the purchase order number at the same time. The data center automatically matches the purchase information: including the destination, material type, quantity, technical specifications, financial information and logistics information. With the help of the GNSS terminal application, the process data collected by different sensors are transmitted to the data center. The logistics trajectory of the physical objects can be visualized in real time, and the impact acceleration, inclination or speed safety parameters can be monitored online in real time, which can ensure the quality and safety of the materials during transportation.

[0045] In step 1, the supplier-material warehouse-construction site mode: the supplier first delivers the physical object 3 to the material warehouse, and the material warehouse handles the entry of the physical object. After entry, the physical object is shipped out of the warehouse in sequence according to the material requisition form and delivered to the construction site; when entering the warehouse, an RFID electronic tag will be given to each physical object 3, and the physical object information will be transmitted to the data center using the RFID electronic tag and the signal sending device of the RFID reader / writer to form the warehouse inventory management data: basic information of the physical object, entry time and storage location; when leaving the warehouse, the physical object 3, the outbound order and the material requisition form will be bound and written into the RFID electronic tag, and the project to be put into production will be marked on the material requisition form.

[0046] Supervision mode of construction site materials in step 1: After the physical objects are delivered to the construction site, there will be an acceptance process in which the RFID reader writes the RFID electronic tag. After the acceptance, it will be assumed that the material has been put into production in the project; if the physical object has not actually been put into production, the physical object will be sent back to the material warehouse / professional warehouse, which is called "return of materials". The return of materials still needs to go through the return procedure in which the RFID reader writes the RFID electronic tag. The materials and construction projects are untied through the return order and bound to the corresponding storage location.

[0047] The physical flow control model includes one or more of the time, position, impact acceleration, inclination, speed, mass, temperature, humidity and light intensity parameters in the packaging box after the physical object is affixed with an RFID electronic tag.

[0048] In step 1, different sensors include at least a weighing sensor 11, an impact sensor 12 and an angle sensor 13. The physical object 3 is located in the packaging box 1. The weighing sensor 11 can weigh the packaging box 1 and the physical object 3 therein; the impact sensor 12 is installed on the buffer support plates 14 on both sides of the packaging box 1. When the physical object 3 moves toward the buffer support plates 14 on both sides of the packaging box 1, the impact sensor 12 will be activated; the angle sensor 13 can sense the tilt angle of the packaging box 1.

[0049] like Figure 4 As shown, the impact acceleration a collected by the impact sensor 12 adjusts the movement speed of the packaging box 1 as follows:

[0050] In step 1 S1 , the impact sensor 12 obtains impact acceleration a data: the impact sensor 12 measures the impact acceleration a of the physical object 3 on the buffer support plate 14 .

[0051] S2. Calculate the impact velocity v per unit time of the physical object 3 on the buffer support plate 14 according to the impact acceleration a: the impact force is obtained by measuring the mass of the object and the calculated acceleration: F=m×a, F=impact force, a=impact acceleration, m=physical mass; the impact force is equal to the momentum of the object changed per unit time, and the momentum p is equal to the mass m of the physical object 3 multiplied by the velocity v, that is, p=m*v; the mass m of the physical object comes from the difference between the total mass of the output value of the weighing sensor 11 and the mass of the packaging box 1; the velocities of the physical object 3 on the buffer support plate 14 before and after the impact are v1 and v2 respectively, v=v2-v1, and the impact time is t, and v is calculated by the following formula: F=(m*v) / t; v=F*t / m;

[0052] S3. Determine whether the moving speed of the packaging box 1 is reduced and the reduction value according to the value of the unit impact velocity v; set two thresholds F: F1 is the absolute danger value and F2 is the relative danger value, F1>F2; when F≥F1 is calculated according to the output a of the impact sensor 12, the first drive device of the hanger 2 stops working, so that the moving speed of the packaging box 1 returns to 0; when F1<F≤F2 is calculated according to the output a of the impact sensor 12, the first drive device of the hanger 2 adjusts the moving speed of the packaging box 1 to v3-v*b, wherein v3 is the running speed of the packaging box 1 when the impact sensor 12 measures a, and b is a safety constant.

[0053] The sling 2 controls the acceleration of the movement of the packaging box 1 through the first driving device, switching the speed once every Mms, where M is a natural number, to achieve the control of the change of the acceleration of the packaging box 1 in the vertical or horizontal direction; the change of acceleration is divided into multiple sections according to the "difference between the target speed and the current speed", and the magnitude of the acceleration in each section is different according to the mass of the physical object 3 and the fact that the physical object 3 will not move relative to the packaging box 1.

[0054] The angle sensor 13 measures the inclination angle between the packaging box 1 and the ground. When F1<F≤F2 is calculated based on the output a of the impact sensor 12, the second driving device of the crane 2 reduces the inclination angle.

[0055] N packaging boxes 1 are stacked into an N-layer structure, N ≥ 2, and the data output by the weighing sensor 11 in the bottom layer includes the mass of the N packaging boxes 1 and the physical objects 3 therein; when the mass data output by the weighing sensor 11 of a certain packaging box 1 and all the weighing sensors 11 thereunder become smaller, it indicates that the physical object 3 in the packaging box 1 has leaked, and the data center sends an alarm to the mobile terminal and displays the position and layer number of the packaging box 1 with the leaked physical object 3; when the mass data output by the weighing sensor 11 of a certain packaging box 1 and all the weighing sensors 11 thereunder become larger, it indicates that rainwater has entered the packaging box 1, and the data center sends an alarm to the mobile terminal and displays the position and layer number of the packaging box 1 with the leaked physical object 3.

[0056] The present invention is described above by way of example in conjunction with the accompanying drawings. It is obvious that the implementation of the present invention is not limited to the above-mentioned method. As long as various improvements are made using the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A method for intelligent management and control of physical flow based on the Internet of Things, comprising the following steps: Step 1, each physical object (3) is provided with an RFID electronic tag, the RFID electronic tag receives status signals and environmental parameters of the physical object (3) collected by different sensors in real time, and the RFID reader / writer can read or write data in the RFID electronic tag; Step 2, the RFID reader / writer transmits the status signal and environmental parameters of the physical object (3) to one or more of the data center, mobile terminal or operating device through a signal sending device; Step 3: The data center collects basic data of each link in the physical flow in real time, and the data layer performs data storage and calculation; Step 4: Based on the calculation results of the data layer, build a physical flow control model, and manage the entire physical flow based on the physical flow control model.

2. The method for intelligent control of physical flow based on the Internet of Things according to claim 1 is characterized in that: In step 1, in the supplier-construction site mode, the ordered physical objects are directly delivered to the construction site by the supplier. The supplier or carrier's mobile terminal writes the key logistics information of the physical objects and uploads the purchase order number at the same time. The data center automatically matches the purchase information: including the destination, material type, quantity, technical specifications, financial information and logistics information. With the help of the GNSS terminal application, the process data collected by different sensors are transmitted to the data center. The logistics trajectory of the physical objects can be visualized in real time, and the impact acceleration, inclination or speed safety parameters can be monitored online in real time, which can ensure the quality and safety of the materials during transportation.

3. The method for intelligent control of physical flow based on the Internet of Things according to claim 1 is characterized in that: In step 1, the supplier-material warehouse-construction site mode: the supplier first delivers the physical object (3) to the material warehouse, and the material warehouse handles the entry of the physical object. After the physical object is entered into the warehouse, it is sequentially shipped out of the warehouse and delivered to the construction site according to the material requisition form; when entering the warehouse, an RFID electronic tag will be assigned to each physical object (3), and the physical object information will be transmitted to the data center using the RFID electronic tag and the signal sending device of the RFID reader / writer to form the warehouse inventory management data: basic information of the physical object, entry time and storage location; when leaving the warehouse, the physical object (3), the outbound delivery form and the material requisition form will be bound and written into the RFID electronic tag, and the project to be put into production will be marked on the material requisition form.

4. The method for intelligent control of physical flow based on the Internet of Things according to claim 1 is characterized in that: Supervision mode of construction site materials in step 1: After the physical objects are delivered to the construction site, there will be an acceptance process in which the RFID reader will write to the RFID electronic tag. After the acceptance, it will be assumed that the material has been put into production in the project. If the physical object has not actually been put into production, it will be sent back to the material warehouse / professional warehouse, which is called "return of materials". The return of materials still needs to go through the return procedure in which the RFID reader writes to the RFID electronic tag. The materials and construction projects are untied through the return order and bound to the corresponding storage location.

5. The method for intelligent control of physical flow based on the Internet of Things according to any one of claims 1 to 4, characterized in that: In step 1, the different sensors include at least a weighing sensor (11), an impact sensor (12) and an angle sensor (13); the physical object (3) is located in the packaging box (1); the weighing sensor (11) can weigh the packaging box (1) and the physical object (3) therein; the impact sensor (12) is installed on the buffer support plates (14) on both sides of the packaging box (1); when the physical object (3) moves toward the buffer support plates (14) on both sides of the packaging box (1), the impact sensor (12) will be activated; and the angle sensor (13) can sense the tilt angle of the packaging box (1).

6. The method for intelligent control of physical flow based on the Internet of Things according to claim 5 is characterized in that: In step 1 S1. The impact sensor (12) obtains the impact acceleration a data: The impact sensor (12) measures the impact acceleration a of the physical object (3) on the buffer support plate (14); S2. Calculate the impact velocity v per unit time of the physical object (3) on the buffer support plate (14) based on the impact acceleration a: The impact force is obtained by measuring the mass of the object and the calculated acceleration: F = m × a, F = impact force, a = impact acceleration, m = mass of the object; the impact force is equal to the momentum of the object per unit time, and the momentum (p) is equal to the mass (m) of the object (3) multiplied by the velocity (v), that is, p = m * v; the mass (m) of the object comes from the difference between the total mass of the output value of the weighing sensor (11) and the mass of the packaging box (1); the velocity of the object (3) on the buffer support plate (14) before and after the impact is v1 and v2 respectively, v = v2-v1, and the impact time is t, v is calculated by the following formula: F = (m * v) / t; v = F * t / m; S3, determining whether the moving speed of the packaging box (1) is reduced and the reduction value according to the value of the unit impact speed v; F sets two thresholds: F1 is the absolute risk value and F2 is the relative risk value, F1>F2; When F≥F1 is calculated based on the output a of the impact sensor (12), the first driving device of the sling (2) stops working, so that the movement speed of the packaging box (1) returns to 0; when F1<F≤F2 is calculated based on the output a of the impact sensor (12), the first driving device of the sling (2) adjusts the movement speed of the packaging box (1) to v3-v*b, wherein v3 is the running speed of the packaging box (1) when the impact sensor (12) measures a, and b is a safety constant.

7. The method for intelligent control of physical flow based on the Internet of Things according to claim 6 is characterized in that: The sling (2) controls the acceleration of the movement of the packaging box (1) through the first driving device, switching the speed once every Mms, where M is a natural number, to achieve the control of the change of the acceleration of the packaging box (1) in the vertical or horizontal direction; the change of acceleration is divided into multiple sections according to the difference between the target speed and the current speed, and the magnitude of the acceleration in each section is different according to the mass of the physical object (3) and whether the physical object (3) will move relative to the packaging box (1).

8. The method for intelligent control of physical flow based on the Internet of Things according to claim 7 is characterized in that: The angle sensor (13) measures the inclination angle formed between the packaging box (1) and the ground. When F1<F≤F2 is calculated based on the output a of the impact sensor (12), the second driving device of the crane (2) reduces the inclination angle.

9. The method for intelligent control of physical flow based on the Internet of Things according to claim 8 is characterized in that: N packaging boxes (1) are stacked into an N-layer structure, N≥2, and the data output by the weighing sensor (11) at the bottom layer includes the mass of the N packaging boxes (1) and the physical objects (3) therein; when the mass data output by the weighing sensor (11) of a certain packaging box (1) and all the weighing sensors (11) below it become smaller, it indicates that the physical object (3) in the packaging box (1) is leaking, and the data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box (1) of the leaking physical object (3); when the mass data output by the weighing sensor (11) of a certain packaging box (1) and all the weighing sensors (11) below it become larger, it indicates that rainwater has entered the packaging box (1), and the data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box (1) of the leaking physical object (3).

10. The method for intelligent control of physical flow based on the Internet of Things according to claim 5 is characterized in that: The physical flow control model includes one or more of the time, position, impact acceleration, inclination, speed, mass, temperature, humidity and light intensity parameters in the packaging box after the physical object is affixed with an RFID electronic tag.

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