An intelligent management and control method for physical flow direction based on an internet of things

Abstract

The present application relates to a kind of based on the intelligent management and control method of physical flow direction of Internet of Things, step 1, each physical object is provided with an RFID electronic tag, RFID electronic tag receives the state signal and environmental parameter of different sensor collection physical object in real time, RFID reader-writer can read or write in the data of RFID electronic tag;Step 2, RFID reader-writer passes through signal sending device to the state signal and environmental parameter of physical object to one or more of data center, mobile terminal or operating equipment;Step 3, data center real-time acquisition physical flow direction in each link basic data, data layer carries out data storage and calculation;Step 4, based on the calculation result of data layer, build physical flow direction control model, based on physical flow direction control model, carry out the management of physical object whole course flow direction.The present application realizes the data, visualization of business flow by constructing physical flow direction intelligent management and control, improves the standardization and transparency of material management, and enables physical flow direction lean management with data elements.

Description

TECHNICAL FIELD

[0001] The present application relates to a monitoring management method in the process of material flow, in particular to a real material flow intelligent management and control method based on Internet of Things. BACKGROUND

[0002] The power Internet of Things is an intelligent power grid system based on Internet of Things technology, aiming to realize intelligent management and mutual coordination between energy production, transmission, distribution and users. Through various intelligent devices, sensors, Internet of Things protocols and other advanced technical means, the system realizes the monitoring, prediction and optimization of the operation state of the power system, improves the energy utilization efficiency, reduces the cost, and ensures 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 Internet of Things, is getting more and more attention. The device network of the power Internet of Things includes various transformers, sensors, smart meters, controllers and other systems, forming a huge and complex network.

[0004] The transportation, storage in warehouse and construction of power equipment and its related accessories and other materials are also joined in the Internet of Things, which needs to monitor the safety and compliance operation of the materials in real time to avoid accidents and accidents, and the efficient implementation and supervision of the materials need to be improved. SUMMARY

[0005] The present application designs a real material flow intelligent management and control method based on Internet of Things, which solves the technical problem that the transportation, storage in warehouse and construction of a large number of materials need to be joined in the Internet of Things, and the safety and compliance operation of the materials also need to be monitored in real time to avoid accidents and accidents.

[0006] In order to solve the above technical problems, the present application adopts the following scheme:

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

[0008] Step 1, each real object is provided with an RFID electronic tag, the RFID electronic tag receives the state signal and environmental parameter of the real object collected by different sensors in real time, and the RFID reader can read or write the data in the RFID electronic tag;

[0009] Step 2, the RFID reader sends the state signal and environmental parameter of the real object to one or more of the data center, mobile terminal or operation device through the signal sending device;

[0010] Step 3, the data center collects the basic data of each link in the real material flow in real time, and the data layer stores and calculates the data.

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

[0012] Preferably, in step 1, the supplier-construction site mode involves the supplier directly delivering the ordered goods to the construction site. The supplier's or carrier's mobile terminal records key logistics information of the goods and uploads the purchase order number. The data platform automatically matches the procurement information, including destination, material type, quantity, technical specifications, financial information, and logistics information. GNSS terminal applications transmit process data collected by different sensors to the data platform, making the logistics trajectory of the goods visible and verifiable in real time. This enables real-time online monitoring of impact acceleration, tilt angle, or speed safety parameters, ensuring 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 processes the goods for warehousing, and the warehousing goods are then issued and delivered to the construction site according to the material requisition form; when the goods are received, each physical goods are assigned an RFID electronic tag, and the signal transmission device of the RFID electronic tag and RFID reader is used to transmit the physical goods information to the data platform to form warehouse inventory management data: basic physical goods information, warehousing time, and storage location; when the goods are issued, the physical goods, the issuance form, and the material requisition form are bound together and written into the RFID electronic tag, and the project to be put into production is marked on the material requisition form.

[0014] Preferably, the supervision mode of construction site materials in step 1 is as follows: After the physical materials are delivered to the construction site, there will be an acceptance process where the RFID reader writes the RFID electronic tag. After acceptance, it will be assumed that the material has been put into production in the project. If the physical materials have not actually been put into production, they will be sent back to the material warehouse / specialized warehouse, which is called "return of materials". The return of materials still requires the return procedure of writing the RFID electronic tag with the RFID reader. The materials and construction projects are unbound through the return form 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 object is located in the packaging box. The weighing sensor can weigh the packaging box and the object inside. 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 object moves to 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 object on the buffer support plate; S2, the impact velocity v of the object on the buffer support plate per unit time is calculated based on the impact acceleration a: the impact force is obtained by measuring the mass of the object and calculating the acceleration: F = m × a, F = impact force, a = impact acceleration, m = mass of the object; the impact force is equal to the change in momentum of the object per unit time, and the momentum (p) is equal to the mass (m) of the object multiplied by the velocity (v), i.e., p = m * v; the mass (m) of the object comes from the difference between the total mass output by the weighing sensor and the mass of the packaging box; the velocities of the 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, v is calculated by the following formula: F = (m * v) / t; v = F * t / m;

[0017] S3. Based on the value of the unit impact velocity v, determine whether the speed of the packaging box decreases and by how much; F sets two thresholds: F1 is the absolute danger value and F2 is the relative danger value, F1>F2; when F≥F1 is calculated based on the impact sensor output a, the first drive device of the lifting device stops working, causing the speed of the packaging box to return to 0; when F1<F≤F2 is calculated based on the impact sensor output a, the first drive device of the lifting device adjusts the speed of the packaging box to v3-v*b, where v3 is the running speed of the packaging box when the impact sensor measures a, and b is a safety constant.

[0018] Preferably, the lifting device controls the acceleration of the packaging box through the first driving device, switching the speed once every Mms, where M is a natural number, to achieve control over the change of acceleration in the vertical or horizontal direction of the packaging box; the change of acceleration is divided into multiple segments according to the difference between the target speed and the current speed, and the magnitude of the acceleration in each segment is different according to the mass of the object and the object does not move relative to the packaging box.

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

[0020] Preferably, N packaging boxes are stacked into N layers, where N≥2. The data output by the weighing sensor at the bottom layer includes the mass of the N packaging boxes and the contents inside. When the mass data output by the weighing sensor of a certain packaging box and all the weighing sensors below it decreases, it indicates that there is a leak in the contents of that packaging box. The data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box with the leaked contents. When the mass data output by the weighing sensor of a certain packaging box and all the weighing sensors below it increases, it indicates that rainwater has entered the packaging box. The data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box with the leaked contents.

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

[0022] This IoT-based intelligent control method for physical flow has the following beneficial effects:

[0023] (1) This invention realizes the datafication and visualization of business flow by constructing intelligent control of physical flow, improves the standardization and transparency of material management, and empowers lean management of physical flow with data elements.

[0024] (2) Through the cooperation of multiple sensors, this invention can not only realize the safety monitoring of the material flow direction, but also actively adjust the moving speed of the material to avoid damage to the material 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 rapid and uneven change of speed.

[0026] (4) The present invention can not only control the speed through the weighing sensor, but also monitor whether the packaging box is damaged, leaked or water-infiltrated. Attached Figure Description

[0027] Figure 1 : A schematic diagram of signal transmission between hardware components in this invention;

[0028] Figure 2 : A schematic diagram of the packaging box structure in this invention;

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

[0030] Figure 4 The present invention provides a flowchart of adjusting the movement speed of a packaging box based on impact acceleration.

[0031] Explanation of reference numerals in the attached figures:

[0032] 1—Packaging box; 11—Weighing sensor; 12—Impact sensor; 13—Angle sensor; 14—Buffer support plate; 15—Buffer spring; 2—Lifting device; 3—Actual object. Detailed Implementation

[0033] The following is combined with Figures 1 to 4 The present invention will be further described as follows:

[0034] like Figure 1 As shown, the hardware used in the IoT-based intelligent control method for physical flow is connected as follows:

[0035] Each physical object 3 is equipped with one RFID electronic tag. The sensing data output by the weighing sensor 11, the impact sensor 12, and the angle sensor 13 are stored in the RFID electronic tag respectively. The RFID reader is installed on the lifting device 2. When the lifting device 2 approaches 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, mobile terminal, or operating device through the signal transmission device.

[0036] The data platform comprises a foundational platform and a data governance platform. It facilitates the interaction and collaboration of customer value data across various business systems, storing both raw and processed data on a data server. The mobile terminal can be a smartphone or tablet. The operating device can be the control unit of the lifting device.

[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 to 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 present invention provides an intelligent control method for the flow of physical goods based on the Internet of Things, comprising the following steps:

[0039] Step 1: Each physical object 3 is equipped 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. The RFID reader can read or write the data in the RFID electronic tag.

[0040] Step 2: The RFID reader 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 via a signal transmitting device.

[0041] Step 3: The data platform collects basic data from each stage of 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 carry out the management of the entire flow of physical goods based on the physical flow control model.

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

[0044] In Step 1, the supplier-construction site mode involves the supplier delivering the ordered goods directly to the construction site. The supplier's or carrier's mobile terminal records key logistics information of the goods and uploads the purchase order number. The data platform automatically matches the procurement information, including destination, material type, quantity, technical specifications, financial information, and logistics information. GNSS terminal applications transmit process data collected by different sensors to the data platform, making the logistics trajectory of the goods visible and traceable in real time. This enables real-time online monitoring of impact acceleration, tilt angle, or speed safety parameters, ensuring the quality and safety of materials during transportation.

[0045] In Step 1, the supplier-material warehouse-construction site mode works as follows: The supplier first delivers physical item 3 to the material warehouse, which then processes the item's entry into the warehouse. After entry, the physical items are sequentially issued and delivered to the construction site according to the material requisition form. Upon entry, each physical item 3 is assigned an RFID electronic tag. The signal transmission device of the RFID electronic tag and RFID reader / writer is used to transmit the physical item information to the data platform, forming warehouse inventory management data: basic physical item information, entry time, and storage location. Upon issuance, physical item 3, the issuance form, and the material requisition form are bound together and written into the RFID electronic tag. The material requisition form will indicate the project to be put into production.

[0046] The supervision model for construction site materials in step 1 is as follows: After the physical materials are delivered to the construction site, there will be an acceptance process where the RFID reader writes the RFID electronic tag. After acceptance, it will be assumed that the material has been put into production in the project. If the physical materials have not actually been put into production, they will be sent back to the material warehouse / specialized warehouse, which is called "return of materials". The return of materials still requires the return procedure of writing the RFID electronic tag with the RFID reader. The materials and construction projects are unbound through the return form and bound to the corresponding storage location.

[0047] The physical flow control model includes one or more parameters such as time, location, impact acceleration, tilt angle, velocity, mass, temperature, humidity, and light intensity inside the packaging box after the physical object is tagged with an RFID electronic tag.

[0048] In step 1, the different sensors include at least a weighing sensor 11, an impact sensor 12, and an angle sensor 13. The object 3 is located in the packaging box 1. The weighing sensor 11 can weigh the packaging box 1 and the object 3 inside it. The impact sensor 12 is installed on the buffer support plates 14 on both sides of the packaging box 1. When the object 3 moves towards 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 impact sensor 12 adjusts the speed of the packaging box 1 as follows:

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

[0051] S2. Calculate the impact velocity v of the object 3 on the buffer support plate 14 per unit time based on the impact acceleration a: The impact force is obtained by measuring the mass of the object and calculating the acceleration: F = m × a, F = impact force, a = impact acceleration, m = mass of the object; the impact force is equal to the change in 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, i.e., p = m * v; the mass m of the object comes from the difference between the total mass output by the weighing sensor 11 and the mass of the packaging box 1; the velocities of the 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, v is calculated by the following formula: F = (m * v) / t; v = F * t / m;

[0052] S3. Based on the value of the unit impact velocity v, determine whether the speed of the packaging box 1 decreases and by how much; F sets two thresholds: F1 is the absolute danger value and F2 is the relative danger value, F1>F2; when F≥F1 is calculated based on the output a of the impact sensor 12, the first drive device of the lifting device 2 stops working, causing the speed of the packaging box 1 to return to 0; when F1<F≤F2 is calculated based on the output a of the impact sensor 12, the first drive device of the lifting device 2 adjusts the speed of the packaging box 1 to v3-v*b, where 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 lifting device 2 controls the acceleration of the packaging box 1 through the first driving device, and switches the speed once every Mms, where M is a natural number, to achieve the control of the vertical or horizontal acceleration of the packaging box 1. The acceleration change is divided into multiple segments according to the difference between the target speed and the current speed. The magnitude of the acceleration in each segment is different according to the mass of the object 3 and the fact that the object 3 does not move relative to the packaging box 1.

[0054] Angle sensor 13 measures the tilt angle between the packaging box 1 and the ground. When F1 < F ≤ F2 is calculated based on the output a of impact sensor 12, the second drive device of crane 2 makes the tilt angle smaller.

[0055] N packaging boxes 1 are stacked into N layers, where N≥2. The data output by the weighing sensor 11 at the bottom layer includes the mass of the N packaging boxes 1 and the contents 3 inside them. When the mass data output by the weighing sensor 11 of a certain packaging box 1 and all the weighing sensors 11 below it decreases, it indicates that the contents 3 in that packaging box 1 have leaked. The data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box 1 containing the leaked contents 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 increases, it indicates that rainwater has entered the packaging box 1. The data center sends an alarm to the mobile terminal and displays the location and layer number of the packaging box 1 containing the leaked contents 3.

[0056] The present invention has been described above by way of example with reference to the accompanying drawings. Obviously, the implementation of the present invention is not limited to the above-described manner. Any improvements made using the inventive concept and technical solution of the present invention, or the direct application of the inventive concept and technical solution of the present invention to other occasions without modification, are all within the protection scope of the present invention.

Claims

1. A method for intelligent control of physical flow based on the Internet of Things, comprising the following steps: Step 1: Each physical object (3) is equipped with an RFID electronic tag. The RFID electronic tag receives the status signals and environmental parameters of the physical object (3) collected by different sensors in real time. The RFID reader can read or write the data in the RFID electronic tag. The RFID reader is installed on the hoist. In step 1, the different sensors include at least a weighing sensor (11), an impact sensor (12), and an angle sensor (13). The object (3) is located in the packaging box (1). The weighing sensor (11) can weigh the packaging box (1) and the object (3) inside it. The impact sensor (12) is installed on the buffer support plates (14) on both sides of the packaging box (1). When the object (3) moves towards 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). In step 1, S1 and the impact sensor (12) obtain the impact acceleration a data: the impact sensor (12) measures the impact acceleration a of the actual object (3) on the buffer support plate (14); S2. Calculate the impact velocity v of the object (3) on the buffer support plate (14) per unit time based on the impact acceleration a: The impact force is obtained by measuring the mass of the object and calculating the acceleration: F = m × a, F = impact force, a = impact acceleration, m = mass of the object; The impact force is equal to the momentum change 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, i.e., p = m * v; The mass m of the object comes from the difference between the total mass output by the weighing sensor (11) and the mass of the packaging box (1); The velocities of the 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, v is calculated by the following formula: F = (m * v) / t; v = F * t / m; S3. Based on the value of the unit impact velocity v, determine whether the movement speed of the packaging box (1) has decreased and by how much; F sets two thresholds: F1 is the absolute danger value and F2 is the relative danger value, F1>F2; When F≥F1 is calculated based on the output a of the impact sensor (12), the first drive device of the lifting device (2) stops working, causing the speed of the packaging box (1) to return to 0; when F1<F≤F2 is calculated based on the output a of the impact sensor (12), the first drive device of the lifting device (2) causes the speed of the packaging box (1) to be adjusted to v3-v*b, where v3 is the running speed of the packaging box (1) when the impact sensor (12) measures a, and b is a safety constant; Step 2: The RFID reader transmits the status signal and environmental parameters of the physical object (3) to one or more of the data platform, mobile terminal or operating device through the signal transmitting device; Step 3: The data platform collects basic data from each stage of 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 carry out the management of the entire physical flow based on the physical flow control model; The lifting device (2) controls the acceleration of the packaging box (1) through the first drive device, switching the speed once every Mms, where M is a natural number, to achieve the control of the vertical or horizontal acceleration of the packaging box (1); the acceleration change is divided into multiple segments according to the difference between the target speed and the current speed, and the magnitude of the acceleration of each segment is different according to the mass of the object (3) and the object (3) does not move relative to the packaging box (1); Angle sensor (13) measures the tilt angle between the packaging box (1) and the ground. When F1 < F ≤ F2 is calculated based on the output a of impact sensor (12), the second drive device of the lifting device makes the tilt angle smaller.

2. The method for intelligent control of physical flow direction based on the Internet of Things according to claim 1, characterized in that: In Step 1, the supplier-construction site mode involves the supplier delivering the ordered goods directly to the construction site. The supplier's or carrier's mobile terminal records key logistics information of the goods and uploads the purchase order number. The data platform automatically matches the procurement information, including destination, material type, quantity, technical specifications, financial information, and logistics information. GNSS terminal applications transmit process data collected by different sensors to the data platform, making the logistics trajectory of the goods visible and traceable in real time. This enables real-time online monitoring of impact acceleration, tilt angle, or speed safety parameters, ensuring the quality and safety of materials during transportation.

3. The method for intelligent control of physical flow direction based on the Internet of Things according to claim 1, characterized in that: In step 1, the supplier-material warehouse-construction site mode is as follows: the supplier first sends the physical goods (3) to the material warehouse, the material warehouse handles the entry of the physical goods, and the physical goods after entry are released from the warehouse and delivered to the construction site in sequence according to the material requisition form; when entering the warehouse, each physical goods (3) will be given an RFID electronic tag, and the physical goods information will be transmitted to the data platform using the signal transmission device of the RFID electronic tag and the RFID reader to form the warehouse inventory management data: physical goods basic information, entry time and storage location; when leaving the warehouse, the physical goods (3), the delivery 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.

4. The method for intelligent control of physical flow direction based on the Internet of Things according to claim 1, characterized in that: The supervision model for construction site materials in Step 1: After the physical goods are delivered to the construction site, there will be an acceptance process where the RFID reader writes the RFID electronic tag. After acceptance, it will be assumed that the physical goods have been put into production in the project. If the physical goods have not been put into production, they will be sent back to the material warehouse / specialized warehouse, which is called "return of materials". The return of materials still requires the return procedure of writing the RFID electronic tag with the RFID reader. The physical goods and the construction project are unbound through the return form and bound to the corresponding storage location.

5. The method for intelligent control of physical flow direction based on the Internet of Things according to claim 1, characterized in that: N packaging boxes (1) are stacked into N layers, N≥2. The data output by the weighing sensor (11) of the bottom layer includes the mass of the N packaging boxes (1) and the contents (3) inside them. When the mass data output by the weighing sensor (11) of a certain packaging box (1) and all the weighing sensors (11) below it decreases, it indicates that the contents (3) in the packaging box (1) are leaking. The data center will send an alarm to the mobile terminal and display the location and number of layers of the packaging box (1) of the leaked contents (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 increases, it indicates that rainwater has entered the packaging box (1). The data center will send an alarm to the mobile terminal and display the location and number of layers of the packaging box (1) of the leaked contents (3).

6. The method for intelligent control of physical flow direction based on the Internet of Things according to claim 1, characterized in that: The physical flow control model includes one or more parameters such as time, location, impact acceleration, tilt angle, velocity, mass, temperature, humidity, and light intensity inside the packaging box after the physical object is tagged with an RFID electronic tag.

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