Logistics supply chain dynamic management system and method based on big data

Abstract

The invention relates to a logistics supply chain dynamic management system and method based on big data. A delivery end data processing unit and a delivery end sensor monitoring acquisition unit are arranged at a delivery end of goods; a goods receiving end data processing unit and a goods receiving end sensor monitoring and collecting unit are arranged at a goods receiving end; a cargo transfer end is arranged between the delivery end and the receiving end of the cargo, and the cargo transfer end is provided with a transfer end data processing unit and a transfer end sensor monitoring and collecting unit; the delivery end data processing unit, the receiving end data processing unit and the transfer end data processing unit can obtain all state information collected by the sensor when the goods move from the delivery end to the receiving end through the transfer end; the data processing units of the delivery end, the receiving end or the transfer end cannot directly acquire the state information of the goods through respective sensor monitoring acquisition units; and the data middle station judges the accident stage according to whether the state information is abnormal or not, and gives an alarm to the rear transfer end or the receiving end.

Description

Technical Field

[0001] The present invention relates to a dynamic management system for a logistics supply chain in material flow, and in particular to a dynamic management system and method for a logistics supply chain based on big data. 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] At the same time, the big data generated by the Internet of Things can not only reflect the operation status of goods in the logistics supply chain, but also manage and avoid potential dangers to avoid unexpected damage and accidents.

[0005] However, if items are damaged, since there is no priority in access to data generated by the Internet of Things, this may lead to tampering or modification of the data, making it impossible to effectively investigate the responsibility for the accident.

[0006] In addition, the slings can easily cause collisions with goods during the process of lifting or lowering goods, and are also most likely to cause accidents. Therefore, speed control of goods is an important factor in ensuring safe transportation. Summary of the invention

[0007] The present invention designs a logistics supply chain dynamic management system and method based on big data, which solves the following technical problems: (1) In the prior art, the cargo status information collected by sensors at different stages of cargo transportation is easily modified or tampered by the personnel of the transportation section, and it is easy for them to shirk responsibility when a liability accident occurs. (2) The slings are prone to cause collisions with the cargo during the process of lifting or lowering the cargo, and are also most likely to cause accidents. Therefore, speed control of the cargo is an important factor in ensuring safe transportation.

[0008] In order to solve the above-mentioned technical problems, the present invention adopts the following solutions:

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

[0010] Step 1: a data processing unit and a sensor monitoring and collecting unit are set at the shipping end of the goods; a data processing unit and a sensor monitoring and collecting unit are set at the receiving end of the goods; a data processing unit and a sensor monitoring and collecting unit are set at the goods transfer end between the shipping end and the receiving end of the goods; a transfer end data processing unit and a transfer end sensor monitoring and collecting unit are set at the goods transfer end;

[0011] Step 2: When the goods move from the shipping end through the transit end to the receiving 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 sensor monitoring and collection unit at the shipping end for processing. The sensor monitoring and collection unit at the shipping end sends the status information A collected by the sensor to the data processing unit at the transit end, the data processing unit at the receiving end, and the data middle station for storage and processing through the wireless transmission unit; the data middle station transmits the status information A to the data processing unit at the shipping end for storage and processing; the status information A indicates the status information of the goods in the initial state before transportation;

[0012] Step 3: When the goods move from the shipping end to the receiving end through the transfer end and are located at the transfer end, the sensor collects the status information B of the goods in real time and sends it to the sensor monitoring and collection unit at the transfer end for processing. The sensor monitoring and collection unit at the transfer end sends the status information B collected by the sensor to the shipping end data processing unit, the receiving end data processing unit and the data middle station through the wireless transmission unit; the data middle station transmits the status information B to the transfer 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 transfer end;

[0013] Step 4: When the goods move from the shipping end to the receiving end through the transfer 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 collection unit at the receiving end for processing. The sensor monitoring and collection unit at the receiving end sends the status information C collected by the sensor to the transfer end data processing unit, the shipping end data processing unit and the data middle station through the wireless transmission unit; the data middle station transmits the status information C to the receiving end data processing unit for storage and processing; the status information C indicates the status information of the goods when it moves from the transfer end to the receiving end;

[0014] The data processing unit at the shipping end, the data processing unit at the receiving end and the data processing unit at the transfer end can obtain all the status information collected by the sensors when the goods move from the shipping end to the transfer end, and the data processing unit at the shipping end, the receiving end or the transfer end cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units;

[0015] The data center determines the stage of the accident based on whether the status information is abnormal and sends a warning to the subsequent transfer or receiving end.

[0016] Preferably, the transfer end includes at least two: a first transfer end and a second transfer end, the first transfer end includes a first transfer end data processing unit and a first transfer end sensor monitoring and collecting unit, and the second transfer end includes a second transfer end data processing unit and a second transfer end sensor monitoring and collecting unit; the shipping end sensor monitoring and collecting unit sends the state information A collected by the sensor to the first transfer end data processing unit and the second transfer end data processing unit through a wireless transmission unit for storage and processing; the first transfer end sensor monitoring and collecting unit sends the state information B1 collected by the sensor to the second transfer end data processing unit, the shipping end data processing unit, the receiving end data processing unit and the data middle station for storage and processing through a wireless transmission unit; the first transfer end data processing unit cannot directly transmit the state information B1 collected by the sensor to the second transfer end data processing unit, the shipping end data processing unit, the receiving end data processing unit and the data middle station for storage and processing; the first transfer end data processing unit cannot directly transmit the state information B1 collected by the sensor to the first transfer end data processing unit, the shipping end data processing unit, the receiving end data processing unit and the data middle station for storage and processing. The measurement and collection unit obtains the status information B1 of the goods; the status information B1 indicates the status information of the goods when it moves from the shipping end to the first transfer end; the data center transmits the status information B1 to the data processing unit of the first transfer end for storage and processing; the sensor monitoring and collection unit of the second transfer end sends the status information B2 collected by the sensor to the shipping end data processing unit, the first transfer end data processing unit, the receiving end data processing unit and the data center for storage and processing through the wireless transmission unit; the data processing unit of the second transfer end cannot directly obtain the status information B2 of the goods through the sensor monitoring and collection unit of the second transfer end; the status information B2 indicates the status information of the goods when it moves from the first transfer end to the second transfer end; the data center transmits the status information B2 to the data processing unit of the second transfer end for storage and processing.

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

[0018] Preferably, when the impact acceleration or speed in the status information of the front-end transporting goods exceeds the threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the responsible accident and the responsible party; if one or more back-ends again have the impact acceleration or speed in the status information of transporting goods exceeding the threshold, the data middle platform determines that the front-end and back-end responsible parties that exceed the threshold shall bear joint and several liability.

[0019] Preferably, each piece of cargo is provided with an RFID electronic tag, which receives status information of the cargo 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 sends the status information of the cargo to the sensor monitoring and collection unit at the shipping end, the sensor monitoring and collection unit at the receiving end, or the sensor monitoring and collection unit at the transfer end through a signal sending device.

[0020] Preferably, a lifting device is provided at the shipping end, the intermediate end or the receiving end to lift or lower the goods in a non-sensing state, so as to avoid harmful collision caused by excessive lifting speed of the goods; wherein a resistance strain sensor is provided between the end effector of the lifting device and the goods, and the lifting device includes a PLC, a servo motor, a servo motor driver and a lifting mechanism;

[0021] The steps to achieve the movement in the non-sensing state are as follows: step a, the resistance strain sensor detects the tension and pressure data F0 from the resistance strain sensor to the hoisted cargo, thereby obtaining the torque data M; step b, the tension and pressure data F0 output by the resistance strain sensor is filtered to obtain the correction value F1; filtering is the filtering of the tension data obtained by the resistance strain sensor after entering the PLC to reduce the instability of the tension data; step c, calculation of the motion tension compensation value F2: F2 = G*g1 / g2, where G is the total weight between the resistance strain sensor and the hoisted cargo; g1 is gravitational acceleration, g2 is the actual acceleration of the servo motor of the spreader; step d, calculation of the actual operating force F3: F3 = F1-F2; step e, mean filtering the actual operating force F3 to obtain the operating force F4; step f, calculation of the moving speed V of the spreader: V = (F4*a) + b; wherein a and b are constants; step g, using the spreader in the corresponding position according to the pre-set position information and movement direction information, to perform lifting and lowering operations on the goods, and automatically changing the speed according to the moving speed V to realize picking up objects from the ground in a non-sensing state.

[0022] A logistics supply chain dynamic management system based on big data, including a shipping end, an intermediate end and a receiving end; it is characterized in that: the shipping end includes a shipping end data processing unit and a shipping end sensor monitoring and collection unit, the sensor collects the status information of the goods in real time and sends it to the shipping end sensor monitoring and collection unit for processing, the shipping end sensor monitoring and collection unit sends the status information A collected by the sensor to the transfer end data processing unit, the receiving end data processing unit and the data middle station for storage and processing through a wireless transmission unit; the data middle station transmits the status information A to the shipping end data processing unit for storage and processing; the status information A indicates the status information of the goods in the initial state before transportation; the transfer end includes a transfer end data processing unit and a transfer end sensor monitoring and collection unit; the sensor collects the status information B of the goods in real time and sends it to the transfer end sensor monitoring and collection unit for processing, the transfer end transmits The sensor monitoring and collection unit sends the status information B collected by the sensor to the data processing unit at the shipping end, the data processing unit at the receiving end, and the data middle station through the wireless transmission unit; the data middle station transmits the status information B to the data processing unit at the transfer end for storage and processing; the status information B indicates the status information of the goods when they are moved from the shipping end to the transfer end; the receiving end includes the data processing unit at the receiving end and the sensor monitoring and collection unit 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 collection unit at the receiving end for processing. The sensor monitoring and collection unit at the receiving end sends the status information C collected by the sensor to the data processing unit at the transfer end, the data processing unit at the shipping end, and the data middle station through the wireless transmission unit; the data middle station transmits the status information C to the data processing unit at the receiving end for storage and processing; the status information C indicates the status information of the goods when they are moved from the transfer end to the receiving end;

[0023] The data processing unit at the shipping end, the data processing unit at the receiving end and the data processing unit at the transit end 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, and the data processing units at the shipping end, the receiving end or the transit end cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units; the data center determines the stage of the accident based on whether the status information is abnormal and issues a warning to the subsequent transit end or the receiving end.

[0024] Preferably, when the impact acceleration or speed in the status information of the front-end transporting goods exceeds the threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the responsible accident and the responsible party; if one or more back-ends again have the impact acceleration or speed in the status information of transporting goods exceeding the threshold, the data middle platform determines that the front-end and back-end responsible parties that exceed the threshold shall bear joint and several liability.

[0025] Preferably, each piece of cargo is provided with an RFID electronic tag, which receives status information of the cargo 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 sends the status information of the cargo to the sensor monitoring and collection unit at the shipping end, the sensor monitoring and collection unit at the receiving end, or the sensor monitoring and collection unit at the transfer end through a signal sending device.

[0026] Preferably, a resistance strain sensor is provided between the end effector of the sling and the cargo, the sling 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, and the servo motor driver is also connected to the servo motor signal; the resistance strain sensor detects the tension and pressure data F0 of the hoisted cargo, thereby obtaining the torque data M; the tension and pressure data F0 output by the resistance strain sensor is filtered to obtain the correction value F1; filtering is the filtering of the tension data obtained by the resistance strain sensor after entering the PLC to reduce the instability of the tension data; motion tension compensation Calculation of compensation value F2: F2=G*g1 / g2, where G is the total weight between the resistance strain sensor and the hoisted cargo; g1 is the acceleration of gravity, and g2 is the actual acceleration of the servo motor of the sling; calculation of actual operating force F3: F3=F1-F2; mean filtering the actual operating force F3 to obtain the operating force F4; calculation of the moving speed V of the sling: V=(F4*a)+b; where a and b are constants; through the pre-set position information and movement direction information, the sling is used in the corresponding position to perform lifting and lowering operations on the cargo, and the speed is automatically changed according to the moving speed V to realize picking up objects from the ground in a non-sensing state.

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

[0028] (1) The cargo status information collected by the sensors of the present invention is not sent directly to the storage data processing unit of the associated party, but is first sent to the data middle station, and then sent to the associated party through the data middle station, so as to avoid that the cargo status information collected by sensors at different transportation stages during cargo transportation is easily modified or tampered by the personnel of the transportation section, and the responsible persons shirk responsibility.

[0029] (2) In the present invention, when the impact acceleration or speed in the status information of the front-end transporting goods exceeds a threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of occurrence of the responsible accident and the responsible party.

[0030] (3) The sling of the present invention is prone to collision with goods during the process of lifting or lowering goods, and is also most likely to cause accidents. Therefore, the non-sensing movement control of the goods reduces the occurrence of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0033] Figure 3 : A block diagram of monitoring data output by the sensor monitoring and collection unit at the shipping end of the present invention;

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

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

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

[0037] Description of reference numerals:

[0038] 10—data processing unit at the shipping end; 11—sensor monitoring and collection unit at the shipping end; 20—data processing unit at the first transfer end; 21—sensor monitoring and collection unit at the first transfer end; 30—data processing unit at the second transfer end; 31—sensor monitoring and collection unit at the second transfer end; 40—data processing unit at the receiving end; 41—sensor monitoring and collection unit at the receiving end; 5—data middle platform. DETAILED DESCRIPTION

[0039] Combine the following Figures 1 to 6 , the present invention is further described:

[0040] Embodiment 1:

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

[0042] Step 1: a shipping end data processing unit 10 and a shipping end sensor monitoring and collecting unit 11 are set at the shipping end of the goods; a receiving end data processing unit 40 and a receiving end sensor monitoring and collecting unit 41 are set at the receiving end of the goods; a transfer end data processing unit and a transfer end sensor monitoring and collecting unit are set at the goods transfer end between the shipping end and the receiving end of the goods;

[0043] Step 2: When the goods move from the shipping end through the transit end to the receiving 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 collection unit 11 for processing. The shipping end sensor monitoring and collection 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 middle station 5 through the wireless transmission unit for storage and processing; the data middle station 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;

[0044] Step 3, when the goods move from the shipping end to the receiving end through the transfer end and are located at the transfer end, the sensor collects the status information B of the goods in real time and sends it to the sensor monitoring and collection unit at the transfer end for processing. The sensor monitoring and collection unit at the transfer end 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 middle station 5 through the wireless transmission unit; the data middle station 5 transmits the status information B to the transfer end data processing unit for storage and processing; the status information B indicates the status information of the goods when it moves from the shipping end to the transfer end;

[0045] Step 4: When the goods move from the shipping end to the receiving end through the transfer 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 receiving end sensor monitoring and collection unit 41 for processing. The receiving end sensor monitoring and collection unit 41 sends the status information C collected by the sensor to the transfer end data processing unit, the shipping end data processing unit 10 and the data middle station 5 through the wireless transmission unit; the data middle station 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 it moves from the transfer end to the receiving end;

[0046] The data processing unit 10 at the shipping end, the data processing unit 40 at the receiving end and the data processing unit at the transfer end can obtain all the status information collected by the sensors when the goods move from the shipping end to the receiving end through the transfer end, and the data processing units at the shipping end, the receiving end or the transfer end cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units;

[0047] The data center 5 determines the stage of the accident based on whether the status information is abnormal and sends a warning to the subsequent transfer terminal or receiving terminal.

[0048] Embodiment 2:

[0049] like Figure 3-Figure 6 As shown, the transfer end includes at least two: a first transfer end and a second transfer end, the first transfer end includes a first transfer end data processing unit 20 and a first transfer end sensor monitoring and collecting unit 21, and the second transfer end includes a second transfer end data processing unit 30 and a second transfer end sensor monitoring and collecting unit 31; the shipping end sensor monitoring and collecting unit 11 sends the state information A collected by the sensor to the first transfer end data processing unit 20 and the second transfer end data processing unit 30 through a wireless transmission unit for storage and processing; the first transfer end sensor monitoring and collecting unit 21 sends the state information B1 collected by the sensor to the second transfer end data processing unit 30, the shipping end data processing unit 10, the receiving end data processing unit 40 and the data middle station 5 through a wireless transmission unit for storage and processing; the first transfer end data processing unit 20 cannot directly transmit the state information A to the first transfer end sensor The sensor monitoring and collecting unit 21 obtains the status information B1 of the goods; the status information B1 indicates the status information of the goods when it moves from the shipping end to the first transfer end; the data middle station 5 transmits the status information B1 to the first transfer end data processing unit 20 for storage and processing; the second transfer end sensor monitoring and collecting unit 31 sends the status information B2 collected by the sensor to the shipping end data processing unit 10, the first transfer end data processing unit 20, the receiving end data processing unit 40 and the data middle station 5 through the wireless transmission unit for storage and processing; the second transfer end data processing unit 30 cannot directly obtain the status information B2 of the goods through the second transfer end sensor monitoring and collecting unit 31; the status information B2 indicates the status information of the goods when it moves from the first transfer end to the second transfer end; the data middle station 5 transmits the status information B2 to the second transfer end data processing unit 30 for storage and processing.

[0050] The status information of the goods is collected through different sensors, including one or more of the time, position, impact acceleration, inclination, speed, mass, temperature, humidity and light intensity parameters in the packaging box.

[0051] When the impact acceleration or speed in the status information of the front-end transporting goods exceeds the threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the responsible accident and the responsible party; if one or more back-ends again have the impact acceleration or speed in the status information of transporting goods exceeding the threshold, the data middle station 5 determines that the front-end and back-end responsible parties that exceed the threshold shall bear joint and several liability.

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

[0053] Each piece of cargo is equipped with an RFID electronic tag, which receives the status information of the cargo collected by 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 cargo to the sensor monitoring and collection unit 11 at the shipping end, the sensor monitoring and collection unit 41 at the receiving end, or the sensor monitoring and collection unit at the transfer end through a signal sending device.

[0054] A spreader is installed at the shipping end, the intermediate end or the receiving end to lift or lower the goods without any sense, so as to avoid harmful collision caused by excessive lifting speed of the goods; a resistance strain sensor is installed between the end operator of the spreader and the goods, and the spreader includes a PLC, a servo motor, a servo motor driver and a lifting mechanism;

[0055] The steps to achieve a senseless movement are as follows:

[0056] Step a, the resistance strain sensor detects the tensile and pressure data F0 of the hoisted cargo, thereby obtaining the torque data M;

[0057] Step b, filtering the tension and pressure data F0 output by the resistance strain sensor to obtain a correction value F1;

[0058] Filtering is the filtering of the tension data obtained by the resistive strain sensor after entering the PLC to reduce the instability of the tension data, which belongs to arithmetic mean filtering; tension and pressure filtering is because the detected signal changes are not suitable for direct use due to various interferences, so the tension and pressure data must be filtered.

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

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

[0061] Step e: performing mean filtering on the actual operating force F3 to obtain the operating force F4; the change of the converted actual operating force is not completely uniform, so mean filtering is required according to different weights.

[0062] First, the torque change data of the resistance strain sensor and the change of the actual equipment acceleration are not at the same time, and the change of acceleration lags behind the data obtained by the resistance strain sensor. Therefore, it is necessary to perform a delayed operation on the tension and pressure data. Second, when hoisting objects of different weights, the amplitude and frequency of equipment shaking are different, so the heavier the hoisting weight, the more filtering time is required.

[0063] Step f, calculating the moving speed V of the spreader: V=F4*a+b; wherein a and b are constants;

[0064] Step g: Using the pre-set position information and movement direction information, the sling is used to lift and lower the cargo in the corresponding position, and the speed is automatically changed according to the moving speed V to realize picking up the object from the ground without any sense.

[0065] The torque control mode can realize the non-sensing state of picking up objects from the ground: when the material falls to the ground, the resistance strain sensor changes greatly, which will make the end effector of the spreader mistakenly believe that there is a large force pushing upward, causing the end effector of the spreader to move upward. If the end effector of the spreader takes the material from the ground, there will also be a sudden change in the torque detection signal. The device automatically selects the appropriate operating force according to the set and previously memorized object weight. In this way, materials can be picked up from the ground in the torque mode without feeling.

[0066] like Figure 2As shown, the present invention is a logistics supply chain dynamic management system based on big data, including a shipping end, an intermediate end and a receiving end; the shipping end includes a shipping end data processing unit 10 and a shipping end sensor monitoring and collecting unit 11, the sensor collects the status 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 status information A collected by the sensor to the transfer end data processing unit, the receiving end data processing unit 40 and the data middle station 5 for storage and processing through a wireless transmission unit; the data middle station 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 transfer end includes a transfer end data processing unit 20A and a transfer end sensor monitoring and collecting unit 21A; the sensor collects the status information B of the goods in real time and sends it to the transfer end sensor monitoring and collecting unit 21A for processing, the transfer end sensor The sensor monitoring and collecting unit 21A 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 middle station 5 through the wireless transmission unit; the data middle station 5 transmits the status information B to the transfer end data processing unit for storage and processing; the status information B indicates the status information of the goods when it moves from the shipping end to the transfer end; the receiving end includes the receiving end data processing unit 40 and the receiving end sensor monitoring and collecting 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 collecting unit 41 for processing, the receiving end sensor monitoring and collecting unit 41 sends the status information C collected by the sensor to the transfer end data processing unit, the shipping end data processing unit 10 and the data middle station 5 through the wireless transmission unit; the data middle station 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 it moves from the transfer end to the receiving end;

[0067] The data processing unit 10 at the shipping end, the data processing unit 40 at the receiving end and the data processing unit at the transit end 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, and the data processing units at the shipping end, the receiving end or the transit end cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units; the data middle 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 the receiving end.

[0068] When the impact acceleration or speed in the status information of the front-end transporting goods exceeds the threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the responsible accident and the responsible party; if one or more back-ends again have the impact acceleration or speed in the status information of transporting goods exceeding the threshold, the data middle station 5 determines that the front-end and back-end responsible parties that exceed the threshold shall bear joint and several liability.

[0069] Each piece of cargo is equipped with an RFID electronic tag, which receives the status information of the cargo collected by 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 cargo to the sensor monitoring and collection unit 11 at the shipping end, the sensor monitoring and collection unit 41 at the receiving end, or the sensor monitoring and collection unit at the transfer end through a signal sending device.

[0070] A resistance strain sensor is provided between the end effector of the sling and the cargo. The sling 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 sensor detects the tension and pressure data F0 of the hoisted cargo, thereby obtaining the torque data M. The tension and pressure data F0 output by the resistance strain sensor is filtered to obtain the correction value F1. 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. Motion tension compensation Calculation of the value F2: F2=G*g1 / g2, where G is the total weight between the resistive strain sensor and the hoisted cargo; g1 is the acceleration of gravity, and g2 is the actual acceleration of the servo motor of the sling; calculation of the actual operating force F3: F3=F1-F2; mean filtering the actual operating force F3 to obtain the operating force F4; calculation of the moving speed V of the sling: V=F4*a+b; where a and b are constants; through the pre-set position information and movement direction information, the sling is used in the corresponding position to perform lifting and lowering operations on the cargo, and the speed is automatically changed according to the moving speed V to realize picking up objects from the ground in a non-sensing state.

[0071] 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 logistics supply chain dynamic management method based on big data, comprising the following steps: Step 1: a shipping end data processing unit (10) and a shipping end sensor monitoring and collecting unit (11) are arranged at the shipping end of the goods; a receiving end data processing unit (40) and a receiving end sensor monitoring and collecting unit (41) are arranged at the receiving end of the goods; and a goods transfer end between the shipping end and the receiving end of the goods is provided with a transfer end data processing unit and a transfer end sensor monitoring and collecting unit; Step 2: When the goods move from the shipping end through the transit end to the receiving 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 collection unit (11) for processing. The shipping end sensor monitoring and collection 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 middle station (5) through the wireless transmission unit for storage and processing; the data middle station (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 transfer end and are located at the transfer end, the sensor collects the status information B of the goods in real time and sends it to the sensor monitoring and collection unit at the transfer end for processing. The sensor monitoring and collection unit at the transfer end 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 middle station (5) through the wireless transmission unit; the data middle station (5) transmits the status information B to the transfer 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 transfer end; Step 4: When the goods move from the shipping end to the receiving end through the transfer 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 receiving end sensor monitoring and collection unit for processing (41). The receiving end sensor monitoring and collection unit (41) sends the status information C collected by the sensor to the transfer end data processing unit, the shipping end data processing unit (10) and the data middle station (5) through the wireless transmission unit; the data middle station (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 transfer end to the receiving end; The shipping end data processing unit (10), the receiving end data processing unit (40) and the transfer end data processing unit are capable of obtaining all status information collected by sensors when the goods are moving from the shipping end through the transfer end to the receiving end, and the shipping end, the receiving end or the transfer end data processing unit cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units; The data center (5) determines the stage of the accident based on whether the status information is abnormal and sends a warning to the subsequent transfer terminal or receiving terminal.

2. The method for dynamic management of logistics supply chain based on big data according to claim 1 is characterized by: The transfer end comprises at least two: a first transfer end and a second transfer end, the first transfer end comprises a first transfer end data processing unit (20) and a first transfer end sensor monitoring and collecting unit (21), and the second transfer end comprises a second transfer end data processing unit (30) and a second transfer end sensor monitoring and collecting unit (31); The sensor monitoring and collecting unit (11) at the shipping end sends the state information A collected by the sensor to the first transfer end data processing unit (20) and the second transfer end data processing unit (30) through the wireless transmission unit for storage and processing; The first transfer end sensor monitoring and collection unit (21) sends the state information B1 collected by the sensor to the second transfer end data processing unit (30), the shipping end data processing unit (10), the receiving end data processing unit (40) and the data middle station (5) through the wireless transmission unit for storage and processing; the first transfer end data processing unit (20) cannot directly obtain the state information B1 of the goods through the first transfer end sensor monitoring and collection unit (21); the state information B1 indicates the state information of the goods when they are moved from the shipping end to the first transfer end; the data middle station (5) transmits the state information B1 to the first transfer end data processing unit (20) for storage and processing; The second transfer end sensor monitoring and collection unit (31) sends the status information B2 collected by the sensor to the shipping end data processing unit (10), the first transfer end data processing unit (20), the receiving end data processing unit (40) and the data middle station (5) through the wireless transmission unit for storage and processing; the second transfer end data processing unit (30) cannot directly obtain the status information B2 of the goods through the second transfer end sensor monitoring and collection unit (31); the status information B2 indicates the status information of the goods when they are moved from the first transfer end to the second transfer end; the data middle station (5) transmits the status information B2 to the second transfer end data processing unit (30) for storage and processing.

3. The method for dynamic management of logistics supply chain based on big data according to claim 1 or 2, characterized in that: The status information of the goods is collected through sensors, including one or more of time, position, impact acceleration, inclination, speed, mass, temperature, humidity and light intensity parameters in the packaging box.

4. The method for dynamic management of logistics supply chain based on big data according to claim 1 or 2, characterized in that: When the impact acceleration or speed in the status information of the front-end transporting goods exceeds the threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the responsible accident and the responsible party; if one or more back-ends have the impact acceleration or speed in the status information of the transporting goods exceeding the threshold again, the data middle station (5) determines that the front-end and back-end responsible parties that exceed the threshold shall bear joint and several liability.

5. According to the big data-based logistics supply chain dynamic management method according to claim 1, it is characterized by: Each piece of cargo is provided with an RFID electronic tag, which receives status information of the cargo 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 sends the status information of the cargo to a sensor monitoring and collecting unit (11) at the shipping end, a sensor monitoring and collecting unit (41) at the receiving end, or a sensor monitoring and collecting unit at the transfer end through a signal sending device.

6. The method for dynamic management of logistics supply chain based on big data according to any one of claims 1 to 5, characterized in that: A spreader is installed at the shipping end, the intermediate end or the receiving end to lift or lower the goods without any sense, so as to avoid harmful collision caused by excessive lifting speed of the goods; a resistance strain sensor is installed between the end operator of the spreader and the goods, and the spreader includes a PLC, a servo motor, a servo motor driver and a lifting mechanism; The steps to achieve a senseless movement are as follows: Step a, the resistance strain sensor detects the tensile and pressure data F0 of the hoisted cargo, thereby obtaining the torque data M; Step b, filtering the tension and pressure data F0 output by the resistance strain sensor to obtain a correction value F1; Step c, calculation of the motion tension compensation value F2: F2 = G*g1 / g2, where G is the total weight between the resistance strain sensor and the hoisted cargo; g1 is the gravity 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, performing mean filtering on the actual operating force F3 to obtain the operating force F4; Step f, calculating the moving speed V of the spreader = (F4*a) + b; wherein a and b are constants; Step g: Using the pre-set position information and movement direction information, the sling is used to lift and lower the cargo in the corresponding position, and the speed is automatically changed according to the moving speed V to realize picking up the object from the ground without any sense.

7. A logistics supply chain dynamic management system based on big data, including 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 collecting unit (11). The sensor collects the status 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 status information A collected by the sensor to the transfer end data processing unit, the receiving end data processing unit (40) and the data middle station (5) through a wireless transmission unit for storage and processing; the data middle station (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 transfer end includes a transfer end data processing unit and a transfer end sensor monitoring and collection unit; the sensor collects the status information B of the goods in real time and sends it to the transfer end sensor monitoring and collection unit for processing; the transfer end sensor monitoring and collection 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 middle station (5) through the wireless transmission unit; the data middle station (5) transmits the status information B to the transfer end data processing unit for storage and processing; the status information B indicates the status information of the goods when they are moved from the shipping end to the transfer end; The receiving end includes a receiving end data processing unit (40) and a receiving end sensor monitoring and collecting 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 collecting unit (41) for processing. The receiving end sensor monitoring and collecting unit (41) sends the status information C collected by the sensor to the transfer end data processing unit, the shipping end data processing unit (10) and the data middle station (5) through a wireless transmission unit. The data middle station (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 are moved from the transfer end to the receiving end. The data processing unit (10) at the shipping end, the data processing unit (40) at the receiving end and the data processing unit at the transfer end can obtain all status information collected by sensors when the goods move from the shipping end to the transfer end through the transfer end, and the data processing units at the shipping end, the receiving end or the transfer end cannot directly obtain the status information of the goods through their respective sensor monitoring and collection units; the data center (5) determines the stage of the accident based on whether the status information is abnormal and sends a warning to the subsequent transfer end or the receiving end.

8. The big data-based logistics supply chain dynamic management system according to claim 7 is characterized by: When the impact acceleration or speed in the status information of the front-end transporting goods exceeds the threshold, the back-end storage data processing unit should control the transportation vehicle or sling after obtaining the status information to prevent the impact acceleration or speed from exceeding the threshold again, thereby determining the stage of the responsible accident and the responsible party; if one or more back-ends have the impact acceleration or speed in the status information of the transporting goods exceeding the threshold again, the data middle station (5) determines that the front-end and back-end responsible parties that exceed the threshold shall bear joint and several liability.

9. The big data-based logistics supply chain dynamic management system according to claim 7 is characterized by: Each piece of cargo is provided with an RFID electronic tag, which receives status information of the cargo 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 sends the status information of the cargo to a sensor monitoring and collecting unit (11) at the shipping end, a sensor monitoring and collecting unit (41) at the receiving end, or a sensor monitoring and collecting unit at the transfer end through a signal sending device.

10. The big data-based logistics supply chain dynamic management system according to claim 7 is characterized by: A resistance strain sensor is provided between the end effector of the sling and the cargo. The sling 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 sensor detects the tension and pressure data F0 of the hoisted cargo, thereby obtaining the torque data M. The tension and pressure data F0 output by the resistance strain sensor is filtered to obtain the correction value F1. 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. The motion tension compensation value Calculation of F2: F2=G*g1 / g2, where G is the total weight between the resistance strain sensor and the hoisted cargo; g1 is the acceleration of gravity, and g2 is the actual acceleration of the servo motor of the sling; calculation of the actual operating force F3: F3=F1-F2; mean filtering the actual operating force F3 to obtain the operating force F4; calculation of the moving speed V of the sling: V=(F4*a)+b; where a and b are constants; through the pre-set position information and movement direction information, the sling is used in the corresponding position to perform lifting and lowering operations on the cargo, and the speed is automatically changed according to the moving speed V to realize picking up objects from the ground in a non-sensing state.

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