Intelligent logistics management system based on block chain

Abstract

The invention discloses a blockchain-based intelligent logistics management system, which comprises a blockchain storage module, a cargo collision analysis module and a result output module, and is characterized in that the blockchain storage module is used for storing logistics distribution installation data, and the cargo collision analysis module is used for analyzing a collision condition generated in a cargo carrying process and outputting a result to the blockchain storage module; the result output module is used for outputting an analysis and calculation result of the logistics management system and assisting logistics personnel in completing logistics distribution and installation, the block chain storage module is electrically connected with the cargo collision analysis module, and the cargo collision analysis module is electrically connected with the result output module; logistics distribution and cargo data are stored by using a block chain technology, and a safe carrying angle is output for logistics personnel to refer to and psychological prevention in advance by analyzing a collision condition of cargoes in a carrying process. The device has the characteristics of high practicability and high safety.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to an intelligent logistics management system based on blockchain. Background Art

[0002] In the logistics industry, especially during cargo handling and distribution, ensuring cargo safety and accurate delivery is crucial. The logistics industry often involves a lot of cargo handling and installation work, which may cause cargo to be damaged or collided during transportation and handling. Such collisions may cause damage to the cargo, increase logistics costs, and cause customer complaints and disputes.

[0003] Traditional logistics management systems usually rely on manual experience and manual measurement to plan the transportation routes and installation methods of goods. This method has many uncertain factors, such as cargo shape, size, handling posture, etc., which may lead to the risk of cargo collision and damage. Therefore, there is a need for a more intelligent, precise and reliable method to manage logistics and cargo handling to reduce the risk of collision, improve efficiency and reduce costs. Summary of the invention

[0004] The purpose of the present invention is to provide a blockchain-based intelligent logistics management system to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent logistics management system based on blockchain, comprising a blockchain storage module, a cargo collision analysis module and a result output module, wherein the blockchain storage module is used to store logistics distribution installation data, the cargo collision analysis module is used to analyze the collision situation generated during the transportation of goods, and the result output module is used to output the analysis and calculation results of the logistics management system to assist logistics personnel in completing the logistics distribution installation, the blockchain storage module is electrically connected to the cargo collision analysis module, and the cargo collision analysis module is electrically connected to the result output module.

[0006] According to the above technical solution, the blockchain storage module includes an indoor data storage submodule and a cargo data storage submodule. The indoor data storage submodule is used to store and store the acquired size model data of the room where the customer is located, and the cargo data storage submodule is used to store the data information of the logistics cargo.

[0007] According to the above technical solution, the cargo collision analysis module includes an activity model establishment submodule, a space fitting submodule, a vertex point connection submodule and a deflection angle calculation submodule. The activity model establishment submodule is used to design and establish a three-dimensional model on both sides of the indoor distribution path. The space fitting submodule is used to fit and arrange the cargo in proportion in the three-dimensional model. The vertex point connection submodule is used to connect and analyze the straight lines between the points where logistics personnel grab the cargo and the vertices of the cargo during the transportation process. The deflection angle calculation submodule analyzes and calculates the angles of the cargo that can be deflected corresponding to different positions of the logistics personnel in the process of transporting the cargo into the room.

[0008] According to the above technical solution, the result output module includes a correction submodule and a fault-tolerant submodule. The correction submodule is used to introduce the conflicting factors that affect the handling in the customer's room, and to correct the output results after analyzing the influence of the conflicting factors on the deflection angle. The fault-tolerant submodule is used to correct the warning value of the output result according to the characteristics of the goods, and then adaptively provide a fault-tolerant space for the angle deviation.

[0009] According to the above technical solution, the operation method of the blockchain-based intelligent logistics management system includes the following steps:

[0010] Step S1: When a customer places an order, the platform obtains the customer's installed indoor data and the currently ordered goods data according to the platform requirements and the drawing measurement information, and the platform is connected to the intelligent logistics management system;

[0011] Step S2: uploading and storing the acquired data through the blockchain storage module;

[0012] Step S3: After the blockchain storage module has completed storing the data for the current order, the cargo collision analysis module is started to analyze the angles of the cargo transportation activities to avoid collisions during the transportation and installation process;

[0013] Step S4: further calibrate the analysis results and output the results according to the fault tolerance range of the current analysis. The logistics personnel pay attention to the handling angle and issue warnings based on the system output results.

[0014] According to the above technical solution, step S3 further includes the following steps:

[0015] Step S31: Draw and establish the customer's indoor installation path and the indoor building model around it according to the indoor data installed by the customer, and automatically output the three-dimensional model of the surrounding buildings of the installation path, wherein the indoor data includes the floor plan of the customer's house, the floor height, and the indoor image data that the user wants to obtain;

[0016] Step S32: Collect cargo data, reduce the cargo shape and cargo side length obtained in the cargo data to the same scale as the three-dimensional model in the three-dimensional model diagram, and put them into the activity space of the three-dimensional model fitting, and mark the designed handling force grabbing point Q of the cargo, and fix the height value h of the output point Q, where h is the default height value preset by the system for logistics personnel to grab the point for handling;

[0017] Step S33: Plan the transport route in the activity space fitted by the three-dimensional model, use the real-time transport position as the plane coordinate, determine the transport force grabbing point Q (x, y, h), and the position point P of each vertex of the cargo i (x i ,y i ,h i ), and then the goods are placed at each vertex P i Connect with Q to obtain the lengths of line segments l1, l2, ..., l respectively n ;

[0018] Step S34: simulate the handling process, output the position of the handling force grabbing point Q in real time, and then in the above process, take the position of Q as the center and respectively use l1, l2, ..., l n Construct spheres O1, O2, ..., O with radius n ;

[0019] Step S35: Then the three-dimensional model of the activity space and the space spheres O1, O2, ..., O2 in the simulated transport process are n Overlap one by one, and filter out the non-overlapping areas E of the three-dimensional models of the space sphere and the activity space at different positions;

[0020] Step S36: combining the shape and side length of the goods, simulating all deflection angle algorithms through the model, and further screening out all the vertices of the goods at the current position that simultaneously meet all the placement postures of the goods that fall in their respective non-overlapping areas E;

[0021] Step S37: the logistics personnel then independently select a posture from all the cargo placement postures as the normal cargo handling posture during the handling process, and mark the posture in the three-dimensional model of the activity space;

[0022] Step S38: In the final complete simulated handling process, the non-overlapping area E of the three-dimensional model of the space sphere and the activity space at different positions is combined with the filtered out, and the maximum deflection angle J in different directions relative to the placement posture of the marked goods at different positions along the installation path is calculated one by one when the placement posture of the marked goods is the normal handling posture;

[0023] Step S39: Output the maximum deflection angle value J of all positions on the path.

[0024] According to the above technical solution, step S4 further includes the following steps:

[0025] Step S41: After obtaining the analysis results, when the logistics personnel arrive at the customer's room to prepare for transportation and installation, they will record obstacles such as household furnishings, accessories, and electrical appliances in the customer's room in real time, and add the location, height, and size of the obstacles to the three-dimensional model of the activity space;

[0026] Step S42: The correction submodule quickly retrieves the overlapping area R caused by the influencing factors and the space sphere at different positions from the cargo collision analysis module according to the current influencing factors; when the overlapping area R belongs to the non-overlapping area E of the three-dimensional model of the space sphere at different positions and the activity space filtered out in step S35, the overlapping area R in the original non-overlapping area E is partially removed;

[0027] Step S43: the post-elimination correction submodule outputs the corrected analysis result.

[0028] According to the above technical solution, the analysis method of the fault tolerance range in step S4 is: system preset for the platform authorized goods connected to the intelligent logistics management system, including giving a coefficient value k according to the current cargo volume, length, hardness, and average surface smoothness. When the coefficient k is larger, the fault tolerance range is larger, and the advance warning value for the output result is larger. Conversely, when k is smaller, the fault tolerance range is smaller, and the advance warning value for the output result is smaller, thereby adaptively providing a fault tolerance space for angle deviation.

[0029] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention uses blockchain technology to store logistics distribution and cargo data, and analyzes the collision of cargo during transportation to output a safe transportation angle for reference and psychological prevention in advance by logistics personnel. At the same time, environmental factors in the customer's room are also considered, including the building model of the house, the placement of items, etc., to more accurately calculate the transportation angle. Finally, the system also provides a fault tolerance range to adaptively provide a fault tolerance space for angle deviation according to the characteristics of the cargo for early warning. This improves the safety and efficiency of logistics and reduces the risk of cargo loss and collision. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0031] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 , the present invention provides a technical solution: an intelligent logistics management system based on blockchain, including a blockchain storage module, a cargo collision analysis module and a result output module, the blockchain storage module is used to store logistics distribution installation data, the cargo collision analysis module is used to analyze the collision situation during the handling of goods, the result output module is used to output the analysis and calculation results of the logistics management system, and assist logistics personnel to complete the logistics distribution installation, the blockchain storage module is electrically connected to the cargo collision analysis module, and the cargo collision analysis module is electrically connected to the result output module; indoor data and cargo data will be uploaded to the blockchain storage module to ensure data security and traceability. The cargo collision analysis module uses the data stored in the blockchain to calculate the optimal handling angle. The result output module provides these analysis results to logistics personnel, which helps to reduce the risk of cargo collision and damage, improve logistics efficiency, and ensure data security by using blockchain technology. It provides a reliable handling angle and improves customer satisfaction.

[0034] The blockchain storage module includes an indoor data storage submodule and a cargo data storage submodule. The indoor data storage submodule is used to store and store the acquired size model data of the customer's room, and the cargo data storage submodule is used to store the data information of the logistics cargo.

[0035] The cargo collision analysis module includes an activity model establishment submodule, a space fitting submodule, a vertex point connection submodule and a deflection angle calculation submodule. The activity model establishment submodule is used to design and establish three-dimensional models on both sides of the indoor distribution path. The space fitting submodule is used to fit and arrange the cargo in proportion in the three-dimensional model. The vertex point connection submodule is used to connect and analyze the straight lines between the points where logistics personnel grab the cargo and the vertices of the cargo during the transportation process. The deflection angle calculation submodule analyzes and calculates the angles of active deflection of cargo corresponding to different positions of logistics personnel in the process of transporting cargo into the room.

[0036] The result output module includes a correction submodule and a fault-tolerant submodule. The correction submodule is used to introduce the conflicting factors that affect the handling in the customer's room, and correct the output results after analyzing the influence of the conflicting factors on the deflection angle. The fault-tolerant submodule is used to correct the warning value of the output result according to the characteristics of the goods, and then adaptively provide a fault-tolerant space for the angle deviation.

[0037] The operation method of the blockchain-based intelligent logistics management system includes the following steps:

[0038] Step S1: When a customer places an order, the platform obtains the customer's installed indoor data and the currently ordered goods data according to the platform requirements and the drawing measurement information, and the platform is connected to the intelligent logistics management system;

[0039] Step S2: uploading and storing the acquired data through the blockchain storage module;

[0040] Step S3: After the blockchain storage module has completed storing the data for the current order, the cargo collision analysis module is started to analyze the angles of the cargo transportation activities to avoid collisions during the transportation and installation process;

[0041] Step S4: further calibrate the analysis results and output the results according to the fault tolerance range of the current analysis. The logistics personnel pay attention to the handling angle and issue warnings based on the system output results.

[0042] Step S3 further comprises the following steps:

[0043] Step S31: Draw and establish the customer's indoor installation path and the indoor building model around it according to the indoor data installed by the customer, and automatically output the three-dimensional model of the surrounding buildings of the installation path, wherein the indoor data includes the floor plan of the customer's house, the floor height, and the indoor image data that the user wants to obtain;

[0044] Step S32: Collect cargo data, reduce the cargo shape and cargo side length obtained in the cargo data to the same scale as the three-dimensional model in the three-dimensional model diagram, and put them into the activity space of the three-dimensional model fitting, and mark the designed handling force grabbing point Q of the cargo, and fix the height value h of the output point Q, where h is the default height value preset by the system for logistics personnel to grab the point for handling;

[0045] Step S33: Plan the transport route in the activity space fitted by the three-dimensional model, use the real-time transport position as the plane coordinate, determine the transport force grabbing point Q (x, y, h), and the position point P of each vertex of the cargo i (x i ,y i ,h i ), and then the goods are placed at each vertex P i Connect with Q to obtain the lengths of line segments l1, l2, ..., l respectively n ;

[0046] Step S34: simulate the handling process, output the position of the handling force grabbing point Q in real time, and then in the above process, take the position of Q as the center and respectively use l1, l2, ..., l n Construct spheres O1, O2, ..., O with radius n;

[0047] Step S35: Then the three-dimensional model of the activity space and the space spheres O1, O2, ..., O2 in the simulated transport process are n Overlap one by one, and filter out the non-overlapping areas E of the three-dimensional models of the space sphere and the activity space at different positions;

[0048] Step S36: combining the shape and side length of the goods, simulating all deflection angle algorithms through the model, and further screening out all the vertices of the goods at the current position that simultaneously meet all the placement postures of the goods that fall in their respective non-overlapping areas E;

[0049] Step S37: the logistics personnel then independently select a posture from all the cargo placement postures as the normal cargo handling posture during the handling process, and mark the posture in the three-dimensional model of the activity space;

[0050] Step S38: In the final complete simulated handling process, the non-overlapping area E of the three-dimensional model of the space sphere and the activity space at different positions is combined with the filtered out, and the maximum deflection angle J in different directions relative to the placement posture of the marked goods at different positions along the installation path is calculated one by one when the placement posture of the marked goods is the normal handling posture;

[0051] Step S39: Output the maximum deflection angle value J of all positions on the path.

[0052] Step S4 further comprises the following steps:

[0053] Step S41: After obtaining the analysis results, when the logistics personnel arrive at the customer's room to prepare for transportation and installation, they will record obstacles such as household furnishings, accessories, and electrical appliances in the customer's room in real time, and add the location, height, and size of the obstacles to the three-dimensional model of the activity space;

[0054] Step S42: The correction submodule quickly retrieves the overlapping area R caused by the influencing factors and the space sphere at different positions from the cargo collision analysis module according to the current influencing factors; when the overlapping area R belongs to the non-overlapping area E of the three-dimensional model of the space sphere at different positions and the activity space filtered out in step S35, the overlapping area R in the original non-overlapping area E is partially removed;

[0055] Step S43: the post-elimination correction submodule outputs the corrected analysis result.

[0056] The analysis method of the fault tolerance range in step S4 is: the system is preset for the platform authorized goods connected to the intelligent logistics management system, including giving a coefficient value k according to the current cargo volume, length, hardness, and average surface smoothness. When the coefficient k is larger, the fault tolerance range is larger, and the early warning value of the output result is larger. On the contrary, when k is smaller, the fault tolerance range is smaller, and the early warning value of the output result is smaller, thereby adaptively providing a fault tolerance space for angle deviation;

[0057] Blockchain technology is used to store logistics distribution and cargo data, and by analyzing the collision of goods during the handling process, a safe handling angle is output for reference by logistics personnel and psychological prevention in advance. At the same time, environmental factors in the customer's room are also considered, including the building model of the house, the placement of items, etc., to more accurately calculate the handling angle. Finally, the system also provides a fault tolerance range to adaptively provide a tolerance space for angle deviation according to the characteristics of the goods for early warning. This will improve the safety and efficiency of logistics and reduce the risk of cargo loss and collision.

[0058] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0059] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent logistics management system based on blockchain, comprising a blockchain storage module, a cargo collision analysis module and a result output module, characterized in that: The blockchain storage module is used to store logistics distribution installation data, the cargo collision analysis module is used to analyze the collision situation during the transportation of cargo, and the result output module is used to output the analysis and calculation results of the logistics management system to assist logistics personnel in completing logistics distribution installation. The blockchain storage module is electrically connected to the cargo collision analysis module, and the cargo collision analysis module is electrically connected to the result output module; The blockchain storage module includes an indoor data storage submodule and a cargo data storage submodule. The indoor data storage submodule is used to store and store the acquired size model data of the indoor location of the customer, and the cargo data storage submodule is used to store the data information of the logistics cargo; The cargo collision analysis module includes an activity model establishment submodule, a space fitting submodule, a vertex point connection submodule and a deflection angle calculation submodule. The activity model establishment submodule is used to design and establish a three-dimensional model on both sides of the indoor distribution path. The space fitting submodule is used to fit and arrange the cargo in the three-dimensional model in equal proportion. The vertex point connection submodule is used to connect and analyze the straight lines between the cargo grabbing points and each vertex of the cargo during the cargo handling process. The deflection angle calculation submodule analyzes and calculates the angles of the cargo that can be deflected at different positions corresponding to the cargo when the logistics personnel carry the cargo into the room. The operation method of the blockchain-based intelligent logistics management system includes the following steps: Step S1: When a customer places an order, the platform obtains the customer's installed indoor data and the currently ordered goods data according to the platform requirements and the drawing measurement information, and the platform is connected to the intelligent logistics management system; Step S2: uploading and storing the acquired data through the blockchain storage module; Step S3: After the blockchain storage module has completed storing the data for the current order, the cargo collision analysis module is started to analyze the angles of the cargo transportation activities to avoid collisions during the transportation and installation process; Step S4: further calibrate the analysis results and output the results according to the fault tolerance range of the current analysis. The logistics personnel will pay attention to the handling angle and issue warnings based on the system output results; The step S3 further comprises the following steps: Step S31: Draw and establish the customer's indoor installation path and the indoor building model around it according to the indoor data installed by the customer, and automatically output the three-dimensional model of the surrounding buildings of the installation path, wherein the indoor data includes the floor plan of the customer's house, the floor height, and the indoor image data that the user wants to obtain; Step S32: Collect cargo data, reduce the cargo shape and cargo side length obtained in the cargo data to the same scale as the three-dimensional model in the three-dimensional model diagram, and put them into the activity space of the three-dimensional model fitting, and mark the designed handling force grabbing point Q of the cargo, and fix the height value h of the output point Q, where h is the default height value preset by the system for logistics personnel to grab the point for handling; Step S33: Plan the transport route in the activity space fitted by the three-dimensional model, use the real-time transport position as the plane coordinate, determine the transport force grabbing point Q (x, y, h), and the position point P of each vertex of the cargo i (x i ,y i ,h i ), and then the goods are placed at each vertex P i Connect with Q to obtain the lengths of line segments l1, l2, ..., l respectively n ; Step S34: simulate the handling process, output the position of the handling force grabbing point Q in real time, and then in the above process, take the position of Q as the center and respectively use l1, l2, ..., l n Construct spheres O1, O2, ..., O with radius n ; Step S35: Then the three-dimensional model of the activity space and the space spheres O1, O2, ..., O2 in the simulated transport process are n Overlap one by one, and filter out the non-overlapping areas E of the three-dimensional models of the space sphere and the activity space at different positions; Step S36: combining the shape and side length of the goods, simulating all deflection angle algorithms through the model, and further screening out all the vertices of the goods at the current position that simultaneously meet all the placement postures of the goods that fall in their respective non-overlapping areas E; Step S37: the logistics personnel then independently select a posture from all the cargo placement postures as the normal cargo handling posture during the handling process, and mark the posture in the three-dimensional model of the activity space; Step S38: In the final complete simulated handling process, the non-overlapping area E of the three-dimensional model of the space sphere and the activity space at different positions is combined with the filtered out, and the maximum deflection angle J in different directions relative to the placement posture of the marked goods at different positions along the installation path is calculated one by one when the placement posture of the marked goods is the normal handling posture; Step S39: Output the maximum deflection angle value J of all positions on the path.

2. The blockchain-based intelligent logistics management system according to claim 1 is characterized by: The analysis method of the fault tolerance range in step S4 is: system preset for the platform authorized goods connected to the intelligent logistics management system, including providing a coefficient value k according to the current cargo volume, length, hardness, and average surface smoothness. When the coefficient k is larger, the fault tolerance range is larger, and the advance warning value for the output result is larger. Conversely, when k is smaller, the fault tolerance range is smaller, and the advance warning value for the output result is smaller, thereby adaptively providing a fault tolerance space for angle deviation.

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