A blockchain-based intelligent logistics management system

Abstract

The application discloses a kind of based on blockchain intelligent logistics management system, including blockchain storage module, goods collision analysis module and result output module, the blockchain storage module is used to store logistics distribution installation data, the goods collision analysis module is used to analyze the situation that collision is generated in the process of handling goods, the result output module is used to output the analysis calculation result of logistics management system, auxiliary logistics personnel complete logistics distribution installation, the blockchain storage module is electrically connected with goods collision analysis module, the goods collision analysis module is electrically connected with result output module;With blockchain technology to store logistics distribution and goods data, and by analyzing the collision situation of goods in the handling process, to output safe handling angle for logistics personnel reference and advance psychological prevention.The application has the characteristics of strong practicability and high safety.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of logistics management, in particular to an intelligent logistics management system based on a block chain. BACKGROUND

[0002] In the logistics industry, especially in the process of cargo handling and delivery, it is crucial to ensure the safety and accurate delivery of goods. The logistics industry usually involves a large amount of cargo handling and installation work, which may cause the goods to be damaged or collided during transportation and handling. Such collisions may cause loss of goods, 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 path and installation method of goods. This method has many uncertain factors, such as the shape, size, handling posture of goods, etc., which may cause the risk of goods collision and damage. Therefore, there is a need for a more intelligent, accurate and reliable method to manage logistics and cargo handling to reduce the risk of collision, improve efficiency and reduce costs. SUMMARY

[0004] The purpose of the present application is to provide an intelligent logistics management system based on a block chain to solve the problems raised in the background.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: an intelligent logistics management system based on a block chain, comprising a block chain storage module, a cargo collision analysis module and a result output module, the block chain storage module is used for storing logistics delivery installation data, the cargo collision analysis module is used for analyzing the collision situation in the process of handling goods, the result output module is used for outputting the analysis and calculation results of the logistics management system, assisting the logistics personnel to complete the logistics delivery 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.

[0006] According to the above technical scheme, the block chain storage module comprises an indoor data storage submodule and a cargo data storage submodule, the indoor data storage submodule is used for storing the size model data of the indoor space of the customer and storing, and the cargo data storage submodule is used for storing the data information of the logistics goods.

[0007] According to the technical scheme, the goods collision analysis module comprises an activity model establishing submodule, a space fitting submodule, a vertex point position connecting submodule and a deflection angle calculating submodule, the activity model establishing submodule is used for designing and establishing a three-dimensional model on both sides of an indoor distribution path, the space fitting submodule is used for fitting and arranging goods in the three-dimensional model in proportion, the vertex point position connecting submodule is used for connecting and analyzing a straight line between a goods grabbing position of a logistics personnel and each vertex of the goods in a carrying process, and the deflection angle calculating submodule analyzes and calculates a goods movable deflection angle corresponding to different positions of the logistics personnel in a carrying process of the goods into an indoor space.

[0008] According to the technical scheme, the result output module comprises a correction submodule and a fault tolerance submodule, the correction submodule is used for introducing a resistance factor of a customer indoor space affecting carrying, and correcting an output result after analyzing an influence of the resistance factor on the deflection angle, and the fault tolerance submodule is used for correcting an output result according to a goods characteristic, and further adaptively providing a fault tolerance space of an angle deviation.

[0009] According to the technical scheme, the operation method of the intelligent logistics management system based on the block chain comprises the following steps.

[0010] Step S1: When a customer places an order, indoor data of the customer and goods data of a current order are acquired according to platform requirements and drawing and measuring information, and a platform accesses an intelligent logistics management system.

[0011] Step S2: The acquired data is uploaded and stored through a block chain storage module.

[0012] Step S3: After data storage of the current order is completed in the block chain storage module, a goods collision analysis module is started, and a carrying activity angle for avoiding collision in a carrying and installation process of the goods is analyzed.

[0013] Step S4: An analysis result is further corrected, a result is output according to a fault tolerance range of current analysis, and a logistics personnel pays attention to and gives a warning according to a system output result.

[0014] According to the technical scheme, the step S3 further comprises the following steps.

[0015] Step S31: Indoor data of a customer is used to draw and establish an indoor housing building model of a customer indoor installation path and a surrounding indoor housing building, and a three-dimensional model of a surrounding building of the installation path is automatically output, wherein the indoor data comprises a customer housing plan, a layer height and indoor image data obtained by the customer.

[0016] Step S32: Collecting cargo data, putting the cargo shape and cargo edge length obtained in the cargo data into the active space of the three-dimensional model fitting after scaling down with the scaling ratio of the three-dimensional model, marking the carrying stress grabbing point Q of the cargo design, and fixing the height value h of the output point Q, wherein h is the default height value of the logistics personnel when grabbing the point for carrying, which is preset by the system;

[0017] Step S33: Planning the carrying route in the active space of the three-dimensional model fitting, determining the carrying stress grabbing point Q(x, y, h) and the position point P(x, y, h) of each vertex of the cargo based on the real-time carrying position as the plane coordinates, then connecting each vertex P(x, y, h) of the cargo with Q, and respectively obtaining the lengths l1, l2, …, l i i i i i n ;

[0018] Step S34: Simulating the carrying process, outputting the position of the carrying stress grabbing point Q in real time, then making space spheres O1, O2, …, O n with l1, l2, …, l n as the radius respectively in the above process with the position of Q as the center;

[0019] Step S35: Then, the three-dimensional model of the active space and the space spheres O1, O2, …, O n in the simulation carrying process are coincided one by one, and the non-coincidence areas E of the space spheres and the three-dimensional model of the active space at different positions are filtered out respectively;

[0020] Step S36: Combining the cargo shape and the cargo edge length, all deflection angle algorithms are simulated by the model to further screen all the cargo placing postures of the current position that meet the condition of all the vertices of the cargo falling in the respective non-coincidence areas E;

[0021] Step S37: Then, the logistics personnel autonomously selects one posture from all the cargo placing postures as the carrying posture of the cargo under normal circumstances in the carrying process, and marks the posture in the three-dimensional model of the active space;

[0022] Step S38: Finally, in the complete simulation carrying process, the non-coincidence areas E of the space spheres and the three-dimensional model of the active space at different positions are calculated one by one under the condition that the marked cargo placing posture is the normal carrying posture, and the maximum deflection angle J in different directions relative to the marked cargo placing posture at different positions along the installation path is calculated;

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

[0024] ​​​​​According to the above technical scheme, the step S4 further comprises the following steps:

[0025] Step S41: After obtaining the analysis result, the logistics personnel arrive at the customer room to prepare for the carrying and installation, real-time input the obstacles such as household ornaments, jewelry, and electrical appliances in the customer room, and add the obstacle position, height, and size to the three-dimensional model of the activity space;

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

[0027] Step S43: The corrected analysis result is output by the correction submodule after removal.

[0028] According to the above technical scheme, the analysis method of the fault tolerance range in step S4 is: the platform authorized cargo accessing the intelligent logistics management system is system preset, including giving a coefficient value k according to the current cargo volume, length, hardness, and surface average smoothness influence, when the coefficient k is larger, the fault tolerance range is larger, the early warning value of the output result is larger, on the contrary, when the coefficient k is smaller, the fault tolerance range is smaller, the early warning value of the output result is smaller, and then the fault tolerance space of the angle deviation is adaptively provided.

[0029] Compared with the prior art, the beneficial effects achieved by the present application are: the present application uses blockchain technology to store logistics distribution and cargo data, and analyzes the collision of the cargo during carrying to output a safe carrying angle for the logistics personnel to refer to and prevent in advance. At the same time, the environmental factors in the customer room are also considered, including the house building model, the placed articles, etc., to more accurately calculate the carrying angle. Finally, the system also provides a fault tolerance range to adaptively provide a fault tolerance space of the angle deviation according to the characteristics of the cargo to provide early warning. Thus, the safety and efficiency of logistics are improved, and the cargo loss and collision risk are reduced. BRIEF DESCRIPTION OF DRAWINGS

[0030] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation on the present application. In the drawings:

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

[0032] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0033] Please refer to Figure 1 The present application provides a technical solution: a smart 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 to assist logistics personnel in completing logistics distribution installation. The blockchain 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. Indoor data and cargo data will be uploaded to the blockchain storage module to ensure the security and traceability of the data. The cargo collision analysis module uses the data stored by 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 and improve logistics efficiency, while ensuring data security through the use of 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 the size model data of the indoor space of the customer. The cargo data storage submodule is used to store the data information of the logistics goods.

[0035] The cargo collision analysis module includes an active model establishment submodule, a space fitting submodule, a vertex point connection submodule, and a deflection angle calculation submodule. The active 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 goods in the three-dimensional model in proportion. The vertex point connection submodule is used to connect and analyze the straight line between the goods grabbing point of the logistics personnel and each vertex of the goods during the handling process. The deflection angle calculation submodule analyzes and calculates the angle of the movable deflection of the goods corresponding to different positions of the logistics personnel during the handling of the goods into the indoor space.

[0036] The result output module includes a correction submodule and a fault tolerance submodule. The correction submodule is used to introduce the resistance factors affecting handling in the customer's indoor space, analyze the influence of the resistance factors on the deflection angle, and output the corrected results. The fault tolerance submodule is used to correct the warning value of the output results according to the characteristics of the goods, and then adaptively provide a fault tolerance space for the angle deviation.

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

[0038] Step S1: When a customer places an order, the platform obtains the indoor data of the customer's installation and the data of the goods currently ordered, based on the platform requirements and the drawing measurement information. The platform then connects to the intelligent logistics management system.

[0039] Step S2: Upload and store the acquired data through the blockchain storage module;

[0040] Step S3: After the blockchain storage module has finished storing the data for the current order, the cargo collision analysis module is activated and begins to analyze the angles of the handling activities to avoid collisions during the handling and installation process.

[0041] Step S4: Further correct the analysis results and output the results according to the current fault tolerance range. Logistics personnel should pay attention to the handling angle and issue warnings based on the system output results.

[0042] Step S3 further includes the following steps:

[0043] Step S31: Based on the customer's installed indoor data, draw and establish the customer's indoor installation path and the surrounding indoor building model, and automatically output the three-dimensional model of the surrounding buildings of the installation path. The indoor data includes the customer's house floor plan, floor height, and indoor image data to be obtained from the user.

[0044] Step S32: Collect cargo data. In the 3D model, reduce the cargo shape and side length obtained from the cargo data to the 3D model by the same scaling ratio and place them into the activity space of the 3D model fitting. Mark the cargo handling force gripping point Q designed for the cargo and fix the height value h of the output point Q, where h is the default height value preset by the system when logistics personnel grip and handle the cargo at this point.

[0045] Step S33: Plan the transport route in the activity space fitted by the 3D model. Using the real-time transport position as the planar coordinate, determine the transport force gripping point Q(x,y,h) and the position points P of each vertex of the goods. i (x i ,y i ,h i Then, for each vertex P of the cargo... i Connect to 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 gripping point Q in real time, and then, in the above process, with the position of Q as the center, with l1, l2, ..., l n Construct spatial spheres O1, O2, ..., O with radius O n;

[0047] Step S35: Then the three-dimensional model of the active space and the space spheres O1, O2, …, O n are coincided, and the non-coincidence regions E of the space spheres and the three-dimensional model of the active space at different positions are filtered out respectively;

[0048] Step S36: Combined with the shape and side length of the goods, all deflection angle algorithms are simulated by the model to further filter out all the goods placing postures at the current position whose all vertices meet the condition of falling in the respective non-coincidence regions E;

[0049] Step S37: Then the logistics personnel autonomously selects one posture from all the goods placing postures as the normal carrying posture of the goods during the carrying process, and marks the posture in the three-dimensional model of the active space;

[0050] Step S38: Finally, during the complete simulation of the carrying process, combined with the filtered non-coincidence regions E of the space spheres and the three-dimensional model of the active space at different positions, the maximum deflection angle J in different directions relative to the marked goods placing posture at different positions along the installation path is calculated one by one under the condition that the marked goods placing posture is the normal carrying posture;

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

[0052] Step S4 further comprises the following steps:

[0053] Step S41: After obtaining the analysis result, when the logistics personnel arrives at the customer's room to prepare for carrying and installation, real-time input the obstacles such as home decorations, ornaments, and electrical appliances appearing in the customer's room, and add the obstacle positions, heights, and sizes to the three-dimensional model of the active space;

[0054] Step S42: The correction submodule quickly retrieves the coincidence region R caused by the impact factors and the space spheres at different positions according to the current impact factors by the goods collision analysis module; when the coincidence region R belongs to the non-coincidence region E of the space spheres and the three-dimensional model of the active space at different positions filtered out in step S35, the coincidence region R part in the original non-coincidence region E is excluded;

[0055] Step S43: The correction submodule outputs the corrected analysis result after the exclusion.

[0056] The analysis method of the fault tolerance range in step S4 is that the platform authorized goods accessing the intelligent logistics management system are pre-set by the system, including giving a coefficient value k according to the current volume, length, hardness, and surface average smoothness of the goods, when the coefficient k is larger, the fault tolerance range is larger, the early warning value of the output result is larger, on the contrary, when the coefficient k is smaller, the fault tolerance range is smaller, the early warning value of the output result is smaller, and then the fault tolerance space of the angle deviation is adaptively provided;

[0057] The blockchain technology is used to store the logistics distribution and goods data, and the collision of the goods in the carrying process is analyzed to output a safe carrying angle for the logistics personnel to refer to and prevent in advance. At the same time, the environmental factors in the customer's room are also considered, including the house building model, the placed articles, etc., to more accurately calculate the carrying angle. Finally, the system also provides a fault tolerance range to adaptively provide a fault tolerance space of the angle deviation according to the characteristics of the goods to provide early warning. Thus, the safety and efficiency of logistics are improved, and the loss and collision risk of goods are reduced.

[0058] It should be noted that in this document, the terms such as first and second are used only 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", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0059] Finally, it should be noted that the above only describes the preferred embodiments of the present application, and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent replacements to some technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A blockchain-based intelligent logistics management system, comprising a blockchain storage module, a cargo collision analysis module and a result output module, characterized in that: The blockchain storage module is used for storing logistics distribution installation data, the cargo collision analysis module is used for analyzing the collision in the process of carrying the cargo, and the result output module is used for outputting the analysis result of the logistics management system to assist the logistics personnel in completing the logistics distribution installation. The blockchain storage module includes an indoor data storage submodule and a cargo data storage submodule. 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 operation method of the intelligent logistics management system based on the blockchain includes the following steps: Step S1: When the customer places an order, the indoor data of the customer's installation and the current cargo data are obtained according to the platform requirements and the drawing measurement information, and the platform accesses the intelligent logistics management system; Step S2: The obtained data is uploaded and stored through the blockchain storage module; Step S3: After the data storage of the current order is completed in the blockchain storage module, the cargo collision analysis module starts to analyze the carrying activity angle for avoiding collision in the process of carrying and installing the cargo; Step S4: The analysis result is further corrected, and the result is output according to the current analysis fault tolerance range, and the logistics personnel issues a carrying angle attention and warning according to the system output result; The analysis method of the fault tolerance range is that the platform authorized cargo accessing the intelligent logistics management system is preset, including giving a coefficient value k according to the current cargo volume, length, hardness, and surface average smoothness, when the coefficient k is larger, the fault tolerance range is larger, the early warning value of the output result is larger, and vice versa, the fault tolerance range is smaller, the early warning value of the output result is smaller, and then the fault tolerance space of the angle deviation is adaptively provided; Step S3 further includes the following steps: Step S31: According to the indoor data of the customer's installation, the indoor housing building model of the customer's indoor installation path and its surroundings is drawn and established, and the three-dimensional model of the surrounding buildings of the installation path is automatically output, wherein the indoor data includes the customer's house plan, floor height, and indoor image data obtained from the user; Step S32: Collecting goods data, putting the goods shape and goods side length obtained in the goods data into the active space of the three-dimensional model after scaling down with the scaling ratio of the three-dimensional model, marking the carrying stress grabbing point Q of the goods design, and fixing the height value h of the output point Q, wherein h is the default height value of the logistics personnel when grabbing the point for carrying, which is preset by the system; Step S33: planning the carrying route in the activity space of the three-dimensional model fitting, taking the real-time carrying position as the plane coordinates, determining the carrying force point Q(x, y, h) and the position points P of each vertex of the goods i (x i ,y i ,h i ) of the goods, then connecting each vertex P i of the goods with Q to obtain the length of the line segment respectively Step S34: simulate the carrying process, output the position of the carrying stress grabbing point Q in real time, and then make a space sphere with the position of Q as the center and with a radius of , respectively ; Step S35: Then the three-dimensional model of the active space and the space sphere in the simulated handling process are superimposed, and the non-overlapping area E of the space sphere and the three-dimensional model of the active space at different positions is filtered out respectively. One superimposes, and respectively filters out the non-overlapping area E of the space sphere and the three-dimensional model of the active space at different positions. Step S36: Combined with the goods shape and goods side length, all deflection angle algorithms are simulated through the model to further filter out all the goods placing postures of the current position that meet the condition of falling in the respective non-overlapping area E of all the goods; Step S37: Then the logistics personnel autonomously selects one posture from all the goods placing postures as the normal carrying posture of the goods in the carrying process, and marks the posture in the three-dimensional model of the active space; Step S38: Finally, in the complete simulation of the carrying process, combined with the non-overlapping area E of the space sphere at different positions and the three-dimensional model of the active space, under the condition that the marked goods placing posture is the normal carrying posture, the maximum deflection angle J in different directions relative to the marked goods placing posture at different positions along the installation path is calculated one by one; Step S39: Output the maximum deflection angle value J of all positions on the path.

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