A logistics supply chain dynamic management system and method based on big data

Abstract

The application relates to a logistics supply chain dynamic management system and method based on big data, wherein a delivery end data processing unit and a delivery end sensor monitoring and collecting unit are arranged at a delivery end of goods; a receipt end data processing unit and a receipt end sensor monitoring and collecting unit are arranged at a receipt end of the goods; a transfer end data processing unit and a transfer end sensor monitoring and collecting unit are arranged at a transfer end of the goods between the delivery end and the receipt end; the delivery end data processing unit, the receipt end data processing unit and the transfer end data processing unit can obtain all state information of the goods collected by the sensors during movement of the goods from the delivery end to the receipt end through the transfer end; the data processing units of the delivery end, the receipt end or the transfer end cannot directly obtain the state information of the goods through the respective sensor monitoring and collecting units; and the data center judges an accident stage according to whether the state information is abnormal and issues a warning to the rear transfer end or the receipt end.

Description

TECHNICAL FIELD

[0001] The present application relates to the logistics supply chain dynamic management system in the material flow, especially relates to a logistics supply chain dynamic management system and method based on big data. BACKGROUND

[0002] The power internet of things is an intelligent power grid system based on the internet of things technology, which aims to realize the intelligent management and mutual coordination between energy production, transmission, distribution and users. The system realizes the monitoring, prediction and optimization of the operation state of the power system through various intelligent devices, sensors, internet of things protocols and other advanced technical means, improves the energy utilization efficiency, reduces the cost, and guarantees the stable and safe operation of the power system.

[0003] With the continuous development and application of the internet of things technology, the power internet of things, as an important branch of the 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] At the same time, the big data generated by the internet of things can not only reflect the running state of goods in the logistics supply chain, but also can control and avoid potential dangers to avoid accidental damage and accidents.

[0005] However, if the goods are damaged, the data obtained by the internet of things has no priority, which may lead to the tampering or modification of the data, so that the accident responsibility cannot be effectively investigated.

[0006] In addition, the lifting or lowering of the lifting tool during the lifting or lowering of the goods is easy to cause the collision of the goods, and the accident is most likely to occur, so the speed control of the goods is an important factor to ensure safe transportation. SUMMARY

[0007] The present application designs a logistics supply chain dynamic management system and method based on big data, which solves the technical problems: (1) the goods state information collected by the sensors in different transportation stages in the existing technology is easy to be modified or tampered by the personnel in this transportation section, and it is easy to shift the responsibility when the responsibility accident occurs. (2) the lifting tool in the lifting or lowering process of the goods is easy to cause the collision of the goods, and the accident is most likely to occur, so the speed control of the goods is an important factor to ensure safe transportation.

[0008] In order to solve the above technical problems, the present application adopts the following scheme:

[0009] A logistics supply chain dynamic management method based on big data, comprising the following steps:

[0010] Step 1, a shipment end data processing unit and a shipment end sensor monitoring and collecting unit are arranged at the shipment end of the goods, a receipt end data processing unit and a receipt end sensor monitoring and collecting unit are arranged at the receipt end of the goods, and a transfer end data processing unit and a transfer end sensor monitoring and collecting unit are arranged at the transfer end of the goods between the shipment end and the receipt end of the goods;

[0011] Step 2, when the goods move from the shipment end to the receipt end through the transfer end and are located at the shipment end, the sensor collects the state information of the goods in real time and sends it to the shipment end sensor monitoring and collecting unit for processing, the shipment end sensor monitoring and collecting unit sends the state information A collected by the sensor to the transfer end data processing unit, the receipt end data processing unit and the data center through the wireless transmission unit, the data center transmits the state information A to the shipment end data processing unit for storage and processing, and the state information A indicates the state information of the goods in the initial state before transportation;

[0012] Step 3, when the goods move from the shipment end to the receipt end through the transfer end and are located at the transfer end, the sensor collects the state information B of the goods in real time and sends it to the transfer end sensor monitoring and collecting unit for processing, the transfer end sensor monitoring and collecting unit sends the state information B collected by the sensor to the shipment end data processing unit, the receipt end data processing unit and the data center through the wireless transmission unit, the data center transmits the state information B to the transfer end data processing unit for storage and processing, and the state information B indicates the state information of the goods when moving from the shipment end to the transfer end;

[0013] Step 4, when the goods move from the shipment end to the receipt end through the transfer end and are located at the receipt end, the sensor collects the state information C of the goods in real time and sends it to the receipt end sensor monitoring and collecting unit for processing, the receipt end sensor monitoring and collecting unit sends the state information C collected by the sensor to the transfer end data processing unit, the shipment end data processing unit and the data center through the wireless transmission unit, the data center transmits the state information C to the receipt end data processing unit for storage and processing, and the state information C indicates the state information of the goods when moving from the transfer end to the receipt end;

[0014] The shipment end data processing unit, the receipt end data processing unit and the transfer end data processing unit can obtain all the state information collected by the sensor when the goods move from the shipment end to the receipt end through the transfer end, and the data processing unit of the shipment end, the receipt end or the transfer end cannot directly obtain the state information of the goods through the respective sensor monitoring and collecting unit;

[0015] The data center judges the stage of the accident according to whether the state information is abnormal and issues a warning to the rear transfer end or the receipt end.

[0016] Preferably, the transit end includes at least two: the first transit end and the second transit end, the first transit end includes the first transit end data processing unit and the first transit end sensor monitoring and collecting unit, and the second transit end includes the second transit end data processing unit and the second transit end sensor monitoring and collecting unit; the sensor monitoring and collecting unit of the shipping end transmits the state information A collected by the sensor to the first transit end data processing unit and the second transit end data processing unit for storage and processing; the first transit end sensor monitoring and collecting unit transmits the state information B1 collected by the sensor to the second transit end data processing unit, the shipping end data processing unit, the receiving end data processing unit and the data center for storage and processing; the first transit end data processing unit cannot directly obtain the state information B1 of the goods through the first transit end sensor monitoring and collecting unit; the state information B1 indicates the state information of the goods when moving from the shipping end to the first transit end; the data center transmits the state information B1 to the first transit end data processing unit for storage and processing; the second transit end sensor monitoring and collecting unit transmits the state information B2 collected by the sensor to the shipping end data processing unit, the first transit end data processing unit, the receiving end data processing unit and the data center for storage and processing; the second transit end data processing unit cannot directly obtain the state information B2 of the goods through the second transit end sensor monitoring and collecting unit; the state information B2 indicates the state information of the goods when moving from the first transit end to the second transit end; the data center transmits the state information B2 to the second transit end data processing unit for storage and processing.

[0017] Preferably, the state information of the goods is collected by different sensors, specifically including one or more of time, position, impact acceleration, inclination, speed, mass, temperature, humidity and light intensity in the packaging box.

[0018] Preferably, when the impact acceleration or speed of the state information of the goods transported by the front end exceeds the threshold value, the rear-end storage data processing unit should control the transportation tool or the lifting tool after obtaining the state information to avoid the impact acceleration or speed exceeding the threshold value again, so as to determine the responsibility accident stage and the responsible party; if one or more rear ends appear again that the impact acceleration or speed of the state information of the goods transported exceeds the threshold value, the data center determines that the front end and the rear end responsible party that exceeds the threshold value bear joint liability.

[0019] Preferably, each piece of goods is provided with an RFID electronic tag, the RFID electronic tag receives the state information of the goods collected by different sensors in real time, and the RFID reader-writer can read or write data in the RFID electronic tag; the RFID reader-writer transmits the state information of the goods to the sensor monitoring and collecting unit of the shipping end, the sensor monitoring and collecting unit of the receiving end or the sensor monitoring and collecting unit of the transit end through the signal sending device.

[0020] Preferably, the shipment end, the intermediate end or the consignment end is provided with a lifting appliance to lift or lower the goods in a non-sensory state, avoiding harmful collision caused by excessive lifting speed of the goods; wherein a resistance strain sensor is arranged between the end operator of the lifting appliance and the goods, and the lifting appliance comprises a PLC, a servo motor, a servo motor driver and a lifting mechanism;

[0021] The moving steps in the non-sensory state are as follows: step a, the resistance strain sensor detects the tension and compression force data F0 of the goods hoisted thereby obtaining the moment data M; step b, the tension and compression force data F0 output by the resistance strain sensor is filtered to obtain a correction value F1; the filtering is to reduce the instability of the tension data by filtering the tension data obtained by the resistance strain sensor after entering the PLC; step c, calculation of the movement tension compensation value F2: F2=G*g1 / g2, wherein G is the total weight between the resistance strain sensor and the hoisted goods; g1 is the acceleration of gravity, and g2 is the actual acceleration of the servo motor of the lifting appliance; step d, calculation of the actual operating force F3: F3=F1-F2; step e, mean value filtering is performed on the actual operating force F3 to obtain the operating force F4; step f, calculation of the moving speed V of the lifting appliance: V=(F4*a)+b; wherein a and b are constants; step g, the goods are lifted and lowered by the lifting appliance at the corresponding position through the pre-set position information and movement direction information, and the moving speed V is automatically changed to realize the lifting of the object from the ground in a non-sensory state.

[0022] The application discloses a logistics supply chain dynamic management system based on big data, which comprises a shipping end, an intermediate end and a receiving end; the shipping end comprises a shipping end data processing unit and a shipping end sensor monitoring and collecting unit; the sensor collects state information of goods in real time and sends the state information to the shipping end sensor monitoring and collecting unit for processing; the shipping end sensor monitoring and collecting unit sends the state information A collected by the sensor to the intermediate end data processing unit, the receiving end data processing unit and a data center for storage and processing through a wireless transmission unit; the data center transmits the state information A to the shipping end data processing unit for storage and processing; the state information A indicates the state information of the goods in an initial state before transportation; the intermediate end comprises an intermediate end data processing unit and an intermediate end sensor monitoring and collecting unit; the sensor collects state information B of the goods in real time and sends the state information B to the intermediate end sensor monitoring and collecting unit for processing; the intermediate end sensor monitoring and collecting unit sends the state information B collected by the sensor to the shipping end data processing unit, the receiving end data processing unit and the data center through a wireless transmission unit; the data center transmits the state information B to the intermediate end data processing unit for storage and processing; the state information B indicates the state information of the goods when the goods move from the shipping end to the intermediate end; the receiving end comprises a receiving end data processing unit and a receiving end sensor monitoring and collecting unit; the sensor collects state information C of the goods in real time and sends the state information C to the receiving end sensor monitoring and collecting unit for processing; the receiving end sensor monitoring and collecting unit sends the state information C collected by the sensor to the intermediate end data processing unit, the shipping end data processing unit and the data center through a wireless transmission unit; the data center transmits the state information C to the receiving end data processing unit for storage and processing; the state information C indicates the state information of the goods when the goods move from the intermediate end to the receiving end.

[0023] The shipping end data processing unit, the receiving end data processing unit and the intermediate end data processing unit can obtain all the state information collected by the sensor when the goods move from the shipping end to the receiving end through the intermediate end, and the data processing unit of the shipping end, the receiving end or the intermediate end cannot directly obtain the state information of the goods through the respective sensor monitoring and collecting unit; the data center judges the stage of an accident according to whether the state information is abnormal and issues a warning to the rear intermediate end or the receiving end.

[0024] Preferably, when the impact acceleration or speed in the state information of the goods transported by the front end exceeds a threshold value, the rear end storage data processing unit should control the transportation tool or the lifting tool after obtaining the state information, so as to avoid that the impact acceleration or speed exceeds the threshold value again, thereby determining the stage of a responsibility accident and the responsible party; if the impact acceleration or speed in the state information of the goods transported by one rear end or multiple rear ends exceeds the threshold value again, the data center determines that the front end and the rear end responsible party that exceed the threshold value jointly bear the joint liability.

[0025] Preferably, each piece of goods is provided with an RFID electronic tag, the RFID electronic tag receives the state information of the goods collected by different sensors in real time, and the RFID reader can read or write data in the RFID electronic tag; the RFID reader sends the state information of the goods to the sensor monitoring and collecting unit of the delivery end, the sensor monitoring and collecting unit of the receiving end or the sensor monitoring and collecting unit of the transfer end through the signal sending device.

[0026] Preferably, a resistance strain sensor is arranged between the end effector of the lifting appliance and the goods, the lifting appliance comprises a PLC, a servo motor, a servo motor driver and a lifting mechanism, the PLC is connected between the end effector and the servo motor driver and transmits instructions to each other, and the servo motor driver is also connected with the servo motor; the resistance strain sensor detects the tension and pressure data F0 of the goods hoisted thereby to obtain torque data M; the tension and pressure data F0 output by the resistance strain sensor is filtered to obtain a correction value F1; the filtering is to filter the tension data obtained by the resistance strain sensor in the PLC to reduce the instability of the tension data; the calculation of the motion tension compensation value F2 is F2=G*g1 / g2, wherein G is the total weight between the resistance strain sensor and the hoisted goods, g1 is the acceleration of gravity, and g2 is the actual acceleration of the servo motor of the lifting appliance; the calculation of the actual operating force F3 is F3=F1-F2; the actual operating force F3 is subjected to mean value filtering to obtain an operating force F4; the moving speed V of the lifting appliance is calculated as V=(F4*a)+b; wherein a and b are constants; the goods are lifted and lowered by using the lifting appliance in the corresponding position through the pre-set position information and motion direction information, and the automatic change speed is realized according to the moving speed V to realize the taking of the object from the ground in a non-sensing state.

[0027] The logistics supply chain dynamic management system and method based on big data have the following beneficial effects:

[0028] (1) The state information of the goods collected by each sensor is not directly sent to the storage data processing unit of the associated party, but is preferentially sent to the data hub, and then sent to the associated party through the data hub, so that the state information of the goods collected by the sensors at different transportation stages during transportation is not easily modified or tampered with by the personnel at the transportation stage, and the responsible persons can not shift the responsibility to each other.

[0029] (2) When the impact acceleration or speed in the state information of the goods transported at the front end exceeds the threshold value, the rear-end storage data processing unit should control the transportation tool or the lifting appliance after obtaining the state information, so as to avoid the impact acceleration or speed from exceeding the threshold value again, thereby determining the stage of the responsibility accident and the responsible party.

[0030] (3) the lifting appliance of the present application is easy to cause the collision of goods during lifting or lowering the goods, and accidents are most likely to occur, so that the movement control of the goods in the non-sensitive state reduces the occurrence of accidents. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 : the block flow chart of the logistics supply chain dynamic management method based on big data of the present application;

[0032] Figure 2 : the data trend chart of the logistics supply chain dynamic management based on big data of the present application;

[0033] Figure 3 : the block diagram of the monitoring data output by the delivery end sensor monitoring and collecting unit in the present application;

[0034] Figure 4 : the block diagram of the monitoring data output by the first intermediate storage data processing unit in the present application;

[0035] Figure 5 : the block diagram of the monitoring data output by the second intermediate storage data processing unit in the present application;

[0036] Figure 6 : the block diagram of the monitoring data output by the receiving end sensor monitoring and collecting unit in the present application;

[0037] BRIEF DESCRIPTION OF DRAWINGS

[0038] 10 - delivery end data processing unit; 11 - delivery end sensor monitoring and collecting unit; 20 - first intermediate end data processing unit; 21 - first intermediate end sensor monitoring and collecting unit; 30 - second intermediate end data processing unit; 31 - second intermediate end sensor monitoring and collecting unit; 40 - receiving end data processing unit; 41 - receiving end sensor monitoring and collecting unit; 5 - data center. DETAILED DESCRIPTION

[0039] The present application will be further described below in combination with Figures 1 to 6 : the present application will be further described below in combination with

[0040] Example 1:

[0041] As shown in Figure 1 and Figure 2 : a logistics supply chain dynamic management method based on big data, comprising the following steps:

[0042] Step 1, a shipment end data processing unit 10 and a shipment end sensor monitoring and collecting unit 11 are arranged at the shipment end of the goods, a receipt end data processing unit 40 and a receipt end sensor monitoring and collecting unit 41 are arranged at the receipt end of the goods, and a transfer end data processing unit and a transfer end sensor monitoring and collecting unit are arranged at the transfer end of the goods between the shipment end and the receipt end of the goods;

[0043] Step 2, when the goods move from the shipment end to the receipt end through the transfer end and are located at the shipment end, the sensor collects the state information of the goods in real time and sends it to the shipment end sensor monitoring and collecting unit 11 for processing, the shipment end sensor monitoring and collecting unit 11 sends the state information A collected by the sensor to the transfer end data processing unit, the receipt end data processing unit 40 and the data platform 5 for storage and processing through the wireless transmission unit, the data platform 5 transmits the state information A to the shipment end data processing unit 10 for storage and processing, and the state information A indicates the state information of the goods in the initial state before transportation;

[0044] Step 3, when the goods move from the shipment end to the receipt end through the transfer end and are located at the transfer end, the sensor collects the state information B of the goods in real time and sends it to the transfer end sensor monitoring and collecting unit for processing, the transfer end sensor monitoring and collecting unit sends the state information B collected by the sensor to the shipment end data processing unit 10, the receipt end data processing unit 40 and the data platform 5 through the wireless transmission unit, the data platform 5 transmits the state information B to the transfer end data processing unit for storage and processing, and the state information B indicates the state information of the goods when moving from the shipment end to the transfer end;

[0045] Step 4, when the goods move from the shipment end to the receipt end through the transfer end and are located at the receipt end, the sensor collects the state information C of the goods in real time and sends it to the receipt end sensor monitoring and collecting unit 41 for processing, the receipt end sensor monitoring and collecting unit 41 sends the state information C collected by the sensor to the transfer end data processing unit, the shipment end data processing unit 10 and the data platform 5 through the wireless transmission unit, the data platform 5 transmits the state information C to the receipt end data processing unit 40 for storage and processing, and the state information C indicates the state information of the goods when moving from the transfer end to the receipt end;

[0046] The shipment end data processing unit 10, the receipt end data processing unit 40 and the transfer end data processing unit can obtain all the state information collected by the sensor when the goods move from the shipment end to the receipt end through the transfer end, and the data processing unit of the shipment end, the receipt end or the transfer end cannot directly obtain the state information of the goods through the respective sensor monitoring and collecting unit;

[0047] The data platform 5 judges the stage of the accident according to whether the state information is abnormal and issues a warning to the rear transfer end or the receipt end.

[0048] Example 2:

[0049] like Figures 3-6 As shown, the transit point includes at least two: a first transit point and a second transit point. The first transit point includes a first transit point data processing unit 20 and a first transit point sensor monitoring and acquisition unit 21. The second transit point includes a second transit point data processing unit 30 and a second transit point sensor monitoring and acquisition unit 31. The shipping end sensor monitoring and acquisition unit 11 transmits the status information A collected by the sensor to the first transit point data processing unit 20 and the second transit point data processing unit 30 for storage and processing via a wireless transmission unit. The first transit point sensor monitoring and acquisition unit 21 transmits the status information B1 collected by the sensor to the second transit point data processing unit 30, the shipping end data processing unit 10, the receiving end data processing unit 40, and the data platform 5 for storage and processing via a wireless transmission unit. The first transit point data processing unit 20 cannot directly access the first transit point sensor. The monitoring and acquisition unit 21 obtains the status information B1 of the goods; status information B1 indicates the status information of the goods when they move from the shipping end to the first transit end; the data platform 5 transmits the status information B1 to the data processing unit 20 of the first transit end for storage and processing; the sensor monitoring and acquisition unit 31 of the second transit end sends the status information B2 collected by the sensor to the data processing unit 10 of the shipping end, the data processing unit 20 of the first transit end, the data processing unit 40 of the receiving end, and the data platform 5 for storage and processing via the wireless transmission unit; the data processing unit 30 of the second transit end cannot directly obtain the status information B2 of the goods through the sensor monitoring and acquisition unit 31 of the second transit end; status information B2 indicates the status information of the goods when they move from the first transit end to the second transit end; the data platform 5 transmits the status information B2 to the data processing unit 30 of the second transit end for storage and processing.

[0050] The status information of the goods is collected by different sensors, including one or more parameters such as time, location, impact acceleration, tilt angle, speed, mass, temperature, humidity, and light intensity inside the packaging box.

[0051] When the impact acceleration or speed in the status information of the goods being transported at the front end exceeds the threshold, the back-end storage data processing unit should control the transport vehicle or lifting equipment after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the accident and the responsible party. If one or more back-ends experience the impact acceleration or speed exceeding the threshold in the status information of the goods being transported again, the data platform 5 will determine that the front-end and back-end responsible parties that exceeded the threshold will jointly bear joint and several liability.

[0052] The so-called "front end" and "back end" are relative, the delivery end is the front end of the transfer end and the receiving end, the transfer end is the front end of the receiving end, the transfer end is the back end of the delivery end, and the receiving end is the back end of the delivery end and the transfer end.

[0053] Each piece of goods is provided with an RFID electronic tag, which receives the state information of the goods collected by different sensors in real time, and the RFID reader can read or write data in the RFID electronic tag; the RFID reader sends the state information of the goods to the delivery end sensor monitoring and collecting unit 11, the receiving end sensor monitoring and collecting unit 41 or the transfer end sensor monitoring and collecting unit through the signal sending device.

[0054] The delivery end, the intermediate end or the receiving end is provided with a lifting appliance to lift or lower the goods in a non-inductive state, so as to avoid harmful collision caused by too large lifting speed of the goods; wherein, a resistance strain sensor is arranged between the end operator of the lifting appliance and the goods, and the lifting appliance comprises a PLC, a servo motor, a servo motor driver and a lifting mechanism.

[0055] The moving steps in the non-inductive state are as follows:

[0056] Step a, the resistance strain sensor detects the tension and compression force data F0 of the goods hoisted thereby to obtain the moment data M;

[0057] Step b, the tension and compression force data F0 output by the resistance strain sensor is filtered to obtain a correction value F1;

[0058] The filtering is to filter the tension data obtained by the resistance strain sensor after entering the PLC to reduce the instability of the tension data, which belongs to arithmetic mean filtering; the tension and compression force filtering is because the detected signal change is disturbed by various interferences, which is not suitable for direct use, so the tension and compression force data needs to be filtered.

[0059] Step c, calculation of the motion tension compensation value F2: F2=G*g1 / g2, wherein G is the total weight between the resistance strain sensor and the hoisted goods; g1 is the acceleration of gravity, and g2 is the actual acceleration of the servo motor of the lifting appliance;

[0060] Step d, calculation of the actual operation force F3: F3=F1-F2;

[0061] Step e, mean filtering of the actual operation force F3 to obtain the operation force F4; the change of the converted actual operation force is not completely uniform, so mean filtering needs to be performed according to different weights.

[0062] First, the torque change data of the resistance strain sensor and the actual equipment acceleration change are not at the same time, and the acceleration change lags behind the data obtained by the resistance strain sensor. Therefore, the data of the tension and compression force need to be delayed. Second, when lifting different weight objects, the amplitude and frequency of the equipment shaking are different, so the heavier the object being lifted, the more filtering time is needed.

[0063] Step f, calculate the moving speed V of the lifting appliance: V = F4*a+b; where a and b are constants;

[0064] Step g, through the pre-set position information and motion direction information, use the lifting appliance to lift and lower the goods in the corresponding position, and automatically change the speed according to the moving speed V to realize the taking of objects from the ground in a non-sensing state.

[0065] Torque control mode to realize taking objects from the ground in a non-sensing state: when the material falls to the ground, the resistance strain sensor changes greatly, which will make the end effector of the lifting appliance mistakenly think that there is a larger force pushing upward, causing the end effector of the lifting appliance to move upward. If the end effector of the lifting appliance takes the material from the ground, a sudden change in torque detection signal will also occur. The equipment automatically selects the appropriate operating force according to the set and previously memorized object weight, so that the material can be taken from the ground in a non-sensing state in torque mode.

[0066] As Figure 2As shown, the logistics supply chain dynamic management system based on big data of the present application comprises a shipping end, an intermediate end and a receiving end; the shipping end comprises a shipping end data processing unit 10 and a shipping end sensor monitoring and collecting unit 11, the sensor collects the state information of the goods in real time and sends it to the shipping end sensor monitoring and collecting unit 11 for processing, the shipping end sensor monitoring and collecting unit 11 sends the state information A collected by the sensor to the intermediate end data processing unit, the receiving end data processing unit 40 and the data platform 5 for storage and processing through the wireless transmission unit; the data platform 5 transmits the state information A to the shipping end data processing unit 10 for storage and processing; the state information A indicates the state information of the initial state before the goods are transported; the intermediate end comprises an intermediate end data processing unit 20A and an intermediate end sensor monitoring and collecting unit 21A; the sensor collects the state information B of the goods in real time and sends it to the intermediate end sensor monitoring and collecting unit 21A for processing, the intermediate end sensor monitoring and collecting unit 21A sends the state information B collected by the sensor to the shipping end data processing unit 10, the receiving end data processing unit 40 and the data platform 5 through the wireless transmission unit; the data platform 5 transmits the state information B to the intermediate end data processing unit for storage and processing; the state information B indicates the state information when the goods move from the shipping end to the intermediate end; the receiving end comprises a receiving end data processing unit 40 and a receiving end sensor monitoring and collecting unit 41, the sensor collects the state information C of the goods in real time and sends it to the receiving end sensor monitoring and collecting unit 41 for processing, the receiving end sensor monitoring and collecting unit 41 sends the state information C collected by the sensor to the intermediate end data processing unit, the shipping end data processing unit 10 and the data platform 5 through the wireless transmission unit; the data platform 5 transmits the state information C to the receiving end data processing unit 40 for storage and processing; the state information C indicates the state information when the goods move from the intermediate end to the receiving end;

[0067] The shipping end data processing unit 10, the receiving end data processing unit 40 and the intermediate end data processing unit can obtain all the state information collected by the sensor when the goods move from the shipping end to the receiving end through the intermediate end, and the data processing unit of the shipping end, the receiving end or the intermediate end cannot directly obtain the state information of the goods through the respective sensor monitoring and collecting unit; the data platform 5 judges the stage of the accident according to whether the state information is abnormal and issues a warning to the intermediate end or the receiving end behind.

[0068] When the impact acceleration or speed in the state information of the goods transported by the front end exceeds the threshold value, the rear-end storage data processing unit should control the transportation tool or the lifting tool after obtaining the state information, so as to avoid the impact acceleration or speed exceeding the threshold value again, thereby determining the stage of the responsibility accident and the responsible party; if the impact acceleration or speed in the state information of the goods transported by one rear end or multiple rear ends exceeds the threshold value again, the data platform 5 determines that the front end and the rear end responsible party that exceed the threshold value jointly bear the joint liability.

[0069] Each item is equipped with an RFID electronic tag. The RFID electronic tag receives real-time status information of the item from different sensors. The RFID reader can read or write the data in the RFID electronic tag. The RFID reader sends the status information of the item to the sensor monitoring and acquisition unit 11 at the shipping end, the sensor monitoring and acquisition unit 41 at the receiving end, or the sensor monitoring and acquisition unit at the transit end through a signal transmitting device.

[0070] A resistance strain gauge sensor is installed between the end effector of the spreader and the cargo. The spreader includes a PLC, a servo motor, a servo motor driver, and a lifting mechanism. The end effector and the servo motor driver are connected to the PLC and transmit commands to each other. The servo motor driver is also connected to the servo motor signal. The resistance strain gauge sensor detects the tensile and compressive force data F0 of the cargo being lifted, thereby obtaining torque data M. The tensile and compressive force data F0 output by the resistance strain gauge sensor is filtered to obtain a correction value F1. Filtering is performed on the tensile force data acquired by the resistance strain gauge sensor after it enters the PLC to reduce the instability of the tensile force data. Motion tension compensation is also performed. Calculation of value F2: F2 = G * g1 / g2, where G is the total weight between the resistance strain gauge sensor and the hoisted goods; g1 is the gravitational acceleration, and g2 is the actual acceleration of the servo motor of the lifting device; Calculation of actual operating force F3: F3 = F1 - F2; Average filtering of actual operating force F3 yields operating force F4; Calculation of the moving speed V of the lifting device: V = F4 * a + b; where a and b are constants; Using pre-set position and direction information, the lifting device is used to raise and lower the goods at the corresponding positions, and the speed is automatically changed according to the moving speed V to achieve seamless removal of objects from the ground.

[0071] 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 dynamic logistics supply chain management method based on big data, comprising the following steps: Step 1: Set up a shipping end data processing unit (10) and a shipping end sensor monitoring and acquisition unit (11) at the shipping end of the goods; set up a receiving end data processing unit (40) and a receiving end sensor monitoring and acquisition unit (41) at the receiving end of the goods; set up a goods transfer end between the shipping end and the receiving end of the goods, and the goods transfer end is equipped with a transfer end data processing unit and a transfer end sensor monitoring and acquisition unit; Step 2: When the goods move from the shipping end to the receiving end through the transit end and are located at the shipping end, the sensor collects the status information of the goods in real time and sends it to the shipping end sensor monitoring and acquisition unit (11) for processing. The shipping end sensor monitoring and acquisition unit (11) sends the status information A collected by the sensor to the transit end data processing unit, the receiving end data processing unit (40) and the data platform (5) for storage and processing through the wireless transmission unit. The data platform (5) transmits the status information A to the shipping end data processing unit (10) for storage and processing. The status information A indicates the status information of the goods in the initial state before transportation. Step 3: When the goods move from the shipping end to the receiving end through the transit end and are located at the transit end, the sensor collects the status information B of the goods in real time and sends it to the sensor monitoring and acquisition unit at the transit end for processing. The sensor monitoring and acquisition unit at the transit end sends the status information B collected by the sensor to the data processing unit (10) at the shipping end, the data processing unit (40) at the receiving end, and the data platform (5) through the wireless transmission unit. The data platform (5) transmits the status information B to the data processing unit at the transit end for storage and processing. The status information B indicates the status information of the goods when they move from the shipping end to the transit end. Step 4: When the goods move from the shipping end through the transit end to the receiving end and are located at the receiving end, the sensor collects the status information C of the goods in real time and sends it to the sensor monitoring and acquisition unit (41) at the receiving end for processing. The sensor monitoring and acquisition unit (41) at the receiving end sends the status information C collected by the sensor to the data processing unit at the transit end, the data processing unit (10) at the shipping end, and the data platform (5) through the wireless transmission unit. The data platform (5) transmits the status information C to the data processing unit (40) at the receiving end for storage and processing. The status information C indicates the status information of the goods when they move from the transit end to the receiving end. The shipping end data processing unit (10), the receiving end data processing unit (40) and the transit end data processing unit can obtain all the status information collected by the sensors during the movement of goods from the shipping end through the transit end to the receiving end. However, the shipping end, receiving end or transit end data processing units cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units. The data platform (5) determines the stage of the accident based on whether the status information is abnormal and sends a warning to the subsequent transit end or receiving end; The relay terminal includes at least two: a first relay terminal and a second relay terminal. The first relay terminal includes a first relay terminal data processing unit (20) and a first relay terminal sensor monitoring and acquisition unit (21). The second relay terminal includes a second relay terminal data processing unit (30) and a second relay terminal sensor monitoring and acquisition unit (31). The sensor monitoring and acquisition unit (11) at the shipping end sends the status information A collected by the sensor to the first transit end data processing unit (20) and the second transit end data processing unit (30) for storage and processing via the wireless transmission unit; The first transit end sensor monitoring and acquisition unit (21) sends the status information B1 collected by the sensor to the second transit end data processing unit (30), the shipping end data processing unit (10), the receiving end data processing unit (40), and the data platform (5) for storage and processing via the wireless transmission unit; the first transit end data processing unit (20) cannot directly obtain the status information B1 of the goods through the first transit end sensor monitoring and acquisition unit (21); the status information B1 indicates the status information of the goods when they move from the shipping end to the first transit end; the data platform (5) transmits the status information B1 to the first transit end data processing unit (20) for storage and processing; The second transit end sensor monitoring and acquisition unit (31) sends the status information B2 collected by the sensor to the shipping end data processing unit (10), the first transit end data processing unit (20), the receiving end data processing unit (40), and the data platform (5) for storage and processing via the wireless transmission unit; the second transit end data processing unit (30) cannot directly obtain the status information B2 of the goods through the second transit end sensor monitoring and acquisition unit (31); the status information B2 indicates the status information of the goods when they move from the first transit end to the second transit end; the data platform (5) transmits the status information B2 to the second transit end data processing unit (30) for storage and processing.

2. The big data-based dynamic management method for logistics supply chains according to claim 1, characterized in that: The status information of the goods is collected by sensors, including one or more of the following parameters: time, location, impact acceleration, tilt angle, speed, mass, temperature, humidity, and light intensity inside the packaging box.

3. The method for dynamic management of logistics supply chain based on big data according to claim 1, characterized in that: When the impact acceleration or speed in the status information of the goods being transported at the front end exceeds the threshold, the back-end storage data processing unit should control the transport vehicle or lifting equipment after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the accident and the responsible party; if one or more back ends experience the impact acceleration or speed exceeding the threshold in the status information of the goods being transported again, the data platform (5) determines that the front end and back end responsible parties that have exceeded the threshold shall jointly bear joint and several liability.

4. The big data-based dynamic management method for logistics supply chains according to claim 1, characterized in that: Each item is equipped with an RFID electronic tag. The RFID electronic tag receives the status information of the item from different sensors in real time. The RFID reader can read or write the data in the RFID electronic tag. The RFID reader sends the status information of the item to the sensor monitoring and acquisition unit (11) at the shipping end, the sensor monitoring and acquisition unit (41) at the receiving end, or the sensor monitoring and acquisition unit at the transit end through the signal transmission device.

5. The big data-based dynamic management method for logistics supply chain according to any one of claims 1-4, characterized in that: The shipping end, intermediate end, or receiving end is equipped with a lifting device to lift or lower the goods in a non-intrusive manner, avoiding harmful collisions caused by excessive lifting speed; the end effector of the lifting device is equipped with a resistance strain gauge sensor between it and the goods; the lifting device includes a PLC, a servo motor, a servo motor driver, and a lifting mechanism. The steps to achieve seamless movement are as follows: Step a: The resistance strain gauge sensor detects the tensile and compressive force data F0 of the hoisted cargo, thereby obtaining the torque data M; Step b: Filter the tensile and compressive data F0 output by the resistance strain gauge sensor to obtain the correction value F1; Step c, Calculation of motion tension compensation value F2: F2=G*g1 / g2, where G is the total weight between the resistance strain gauge sensor and the hoisted goods; g1 is the gravitational acceleration; and g2 is the actual acceleration of the servo motor of the hoist. Step d, calculation of actual operating force F3: F3 = F1 - F2; Step e: Apply mean filtering to the actual operating force F3 to obtain the operating force F4; Step f: Calculate the moving speed of the spreader, V = (F4 * a) + b; where a and b are constants. Step g: Using pre-set position and direction information, the lifting device is used to raise and lower the cargo at the corresponding position, and the speed is automatically changed according to the moving speed V to achieve the unobtrusive removal of the object from the ground.

6. A dynamic logistics supply chain management system based on big data, comprising a shipping end, an intermediate end, and a receiving end; characterized in that: The shipping end includes a shipping end data processing unit (10) and a shipping end sensor monitoring and acquisition unit (11). The sensor collects the status information of the goods in real time and sends it to the shipping end sensor monitoring and acquisition unit (11) for processing. The shipping end sensor monitoring and acquisition unit (11) sends the status information A collected by the sensor to the transit end data processing unit, the receiving end data processing unit (40), and the data platform (5) for storage and processing through the wireless transmission unit. The data platform (5) transmits the status information A to the shipping end data processing unit (10) for storage and processing. The status information A indicates the status information of the goods in the initial state before transportation. The transit end includes a transit end data processing unit and a transit end sensor monitoring and acquisition unit; the sensor collects the status information B of the goods in real time and sends it to the transit end sensor monitoring and acquisition unit for processing. The transit end sensor monitoring and acquisition unit sends the status information B collected by the sensor to the shipping end data processing unit (10), the receiving end data processing unit (40) and the data platform (5) through the wireless transmission unit; the data platform (5) transmits the status information B to the transit end data processing unit for storage and processing; the status information B indicates the status information of the goods when they move from the shipping end to the transit end. The receiving end includes a receiving end data processing unit (40) and a receiving end sensor monitoring and acquisition unit (41). The sensor collects the status information C of the goods in real time and sends it to the receiving end sensor monitoring and acquisition unit (41) for processing. The receiving end sensor monitoring and acquisition unit (41) sends the status information C collected by the sensor to the transit end data processing unit, the shipping end data processing unit (10), and the data platform (5) through the wireless transmission unit. The data platform (5) transmits the status information C to the receiving end data processing unit (40) for storage and processing. The status information C indicates the status information of the goods when they move from the transit end to the receiving end. The shipping end data processing unit (10), receiving end data processing unit (40) and transit end data processing unit can obtain all status information collected by sensors during the movement of goods from the shipping end through the transit end to the receiving end. The shipping end, receiving end or transit end data processing units cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units. The data platform (5) determines the stage of the accident based on whether the status information is abnormal and issues a warning to the subsequent transit end or receiving end. The relay terminal includes at least two: a first relay terminal and a second relay terminal. The first relay terminal includes a first relay terminal data processing unit (20) and a first relay terminal sensor monitoring and acquisition unit (21). The second relay terminal includes a second relay terminal data processing unit (30) and a second relay terminal sensor monitoring and acquisition unit (31). The sensor monitoring and acquisition unit (11) at the shipping end sends the status information A collected by the sensor to the first transit end data processing unit (20) and the second transit end data processing unit (30) for storage and processing via the wireless transmission unit; The first transit end sensor monitoring and acquisition unit (21) sends the status information B1 collected by the sensor to the second transit end data processing unit (30), the shipping end data processing unit (10), the receiving end data processing unit (40), and the data platform (5) for storage and processing via the wireless transmission unit; the first transit end data processing unit (20) cannot directly obtain the status information B1 of the goods through the first transit end sensor monitoring and acquisition unit (21); the status information B1 indicates the status information of the goods when they move from the shipping end to the first transit end; the data platform (5) transmits the status information B1 to the first transit end data processing unit (20) for storage and processing; The second transit end sensor monitoring and acquisition unit (31) sends the status information B2 collected by the sensor to the shipping end data processing unit (10), the first transit end data processing unit (20), the receiving end data processing unit (40), and the data platform (5) for storage and processing via the wireless transmission unit; the second transit end data processing unit (30) cannot directly obtain the status information B2 of the goods through the second transit end sensor monitoring and acquisition unit (31); the status information B2 indicates the status information of the goods when they move from the first transit end to the second transit end; the data platform (5) transmits the status information B2 to the second transit end data processing unit (30) for storage and processing.

7. The big data-based dynamic logistics supply chain management system according to claim 6, characterized in that: When the impact acceleration or speed in the status information of the goods being transported at the front end exceeds the threshold, the back-end storage data processing unit should control the transport vehicle or lifting equipment after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the accident and the responsible party; if one or more back ends experience the impact acceleration or speed exceeding the threshold in the status information of the goods being transported again, the data platform (5) determines that the front end and back end responsible parties that have exceeded the threshold shall jointly bear joint and several liability.

8. The big data-based dynamic logistics supply chain management system according to claim 6, characterized in that: Each item is equipped with an RFID electronic tag. The RFID electronic tag receives the status information of the item from different sensors in real time. The RFID reader can read or write the data in the RFID electronic tag. The RFID reader sends the status information of the item to the sensor monitoring and acquisition unit (11) at the shipping end, the sensor monitoring and acquisition unit (41) at the receiving end, or the sensor monitoring and acquisition unit at the transit end through the signal transmission device.

9. The big data-based dynamic logistics supply chain management system according to claim 6, characterized in that: A resistance strain gauge sensor is installed between the end effector of the spreader and the cargo. The spreader includes a PLC, a servo motor, a servo motor driver, and a lifting mechanism. The end effector and the servo motor driver are connected to the PLC and transmit commands to each other. The servo motor driver is also connected to the servo motor signal. The resistance strain gauge sensor detects the tensile and compressive force data F0 of the cargo being lifted, thereby obtaining torque data M. The tensile and compressive force data F0 output by the resistance strain gauge sensor is filtered to obtain a correction value F1. Filtering is performed on the tensile force data obtained by the resistance strain gauge sensor after it enters the PLC to reduce the instability of the tensile force data. The motion tensile force compensation value F2 is calculated as: F2 = G * g1 / g2, where G is the total weight between the resistance strain gauge sensor and the cargo being lifted; g1 is the acceleration due to gravity; and g2 is the actual acceleration of the servo motor of the spreader. The actual operating force F3 is calculated as: F3 = F1 - F2. The actual operating force F3 is averaged and filtered to obtain the operating force F4. The moving speed V of the spreader is calculated as: V = (F4 * ... a) + b; where a and b are constants; using pre-set position and direction information, the lifting device is used to raise and lower the cargo at the corresponding position, and the speed is automatically changed according to the moving speed V to achieve the ability to pick up objects from the ground in a seamless manner.

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