Building external intelligent transportation system and method for small articles

Abstract

The invention discloses a building external intelligent transportation system and method for small articles, and relates to the technical field of automation and logistics, and the system comprises a control module which is used for a user to send an instruction to an equipment terminal, and the equipment terminal receives the instruction and then analyzes and controls the subsequent operation process; and the motor driving module is electrically connected with the control module, and the motor driving module is used for converting an instruction sent by the control module into an actual action of a motor. According to the building external intelligent transportation system, the transportation path is optimized through precise control and an intelligent algorithm, the transportation task is autonomously completed, the transportation efficiency is remarkably improved, manpower resources are saved, the safety of the transportation process is enhanced through system integrated safety monitoring and protection measures, the user experience is improved through a user-friendly interaction interface, and the transportation efficiency is improved. And meanwhile, the transportation cost is reduced through automatic and intelligent operation, and the device is particularly suitable for transportation of small articles.

Description

Technical Field

[0001] The present invention relates to the field of automation and logistics technology, and in particular to a building external intelligent transportation system and method for small articles. Background Art

[0002] With the acceleration of urbanization and the continuous improvement of people's living standards, there are more and more low-rise buildings without elevators in modern cities. Such buildings face many challenges in daily life services, especially in the transportation of small items such as takeout delivery and express delivery. Traditional transportation methods often rely on manual hand or shoulder carrying, which is not only inefficient, but also increases the workload of delivery personnel, while also prolonging user waiting time and reducing the overall user experience. At present, there are some automated transportation equipment on the market, but most of these devices are suitable for high-rise buildings or occasions with elevators. For the special environment of low-rise buildings without elevators, their applicability is greatly limited. In this regard, we propose a building external intelligent transportation system and method for small items. Summary of the invention

[0003] In order to solve the above technical problems, a building external intelligent transportation system and method for small items are provided. This technical solution solves the above problems.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0005] An external intelligent transportation system for small items, comprising:

[0006] Control module: The control module is used for the user to send instructions to the device terminal, and the device terminal parses and controls the subsequent operation process after receiving the instructions;

[0007] A motor drive module, the motor drive module is electrically connected to the control module, and is used to convert the instructions issued by the control module into actual actions of the motor, and realize the forward and reverse rotation and stop of the motor by controlling the attraction and disconnection of multiple AC contactors, thereby controlling the horizontal and lateral movement of the transport platform, the vertical ascent and descent movement of the hook, and the angle adjustment of the boom;

[0008] A transport module, the transport module is electrically connected to the motor drive module, and the transport module is used to transport small items from a starting position to a target position;

[0009] A safety and system monitoring module, which is electrically connected to the control module, the motor drive module and the transport module, and is responsible for monitoring the operating status and surrounding environment of the transport equipment, and promptly issues an alarm when an abnormal situation is detected;

[0010] A user interaction and feedback module, the user interaction and feedback module is electrically connected to the control module, the motor drive module, the transportation module and the safety and system monitoring module, and the user interaction and feedback module is used to provide an operation interface and feedback information for the user;

[0011] Algorithm and analysis module, the software and algorithm module is electrically connected to the control module, transportation module, safety and system monitoring module and user interaction and feedback module. The software and algorithm module is responsible for processing the instructions from the control module, and calculating the optimal transportation path and action sequence according to the current state of the equipment and the preset algorithm, and identifying and analyzing abnormal situations for the safety and system monitoring module.

[0012] Preferably, the control module comprises:

[0013] An instruction receiving unit, which is responsible for receiving user instructions from the user interaction and feedback module;

[0014] An instruction parsing unit, the instruction parsing unit is used to parse the received original instruction to extract key information in the instruction, wherein the key information includes a target position, an action type and a speed level;

[0015] Task scheduling unit, which is used to schedule and assign tasks to various related modules according to the parsed instructions, and manage the execution order and priority of tasks;

[0016] The communication interface unit is used to provide a communication interface with other modules and to send and receive data with other modules;

[0017] Exception handling unit,The exception handling unit is used to monitor the abnormal situations that occur during the task execution, and take corresponding handling measures when an abnormal situation is detected.

[0018] Preferably, the motor driving module comprises:

[0019] The motor control unit is used to control the running state of the motor including starting, stopping, accelerating and decelerating the motor according to the result of the instruction receiving and parsing unit;

[0020] A motor status monitoring unit, which is used to monitor the current and voltage of the motor in real time;

[0021] Safety protection unit: The safety protection unit is used to issue an alarm and take protective measures in time when the current or voltage exceeds the normal range.

[0022] Preferably, the transport module comprises:

[0023] Mechanical structure unit, the mechanical structure unit is used to include a transport platform, a hook and a boom, and is used to carry and move small items;

[0024] The power transmission unit is used to connect with the motor drive module, receive power from the motor drive module, and convert the rotational motion of the motor into horizontal movement of the transport platform, vertical lifting of the hook, and angle adjustment of the boom;

[0025] Position sensing unit, which is used to monitor the position information of key components in the transport module in real time;

[0026] Load monitoring unit,The load monitoring unit is used to monitor the load condition of items during transportation.

[0027] Preferably, the security and system monitoring module includes:

[0028] A sensor network unit, which is used to monitor the operating status of the equipment and the surrounding environment in real time;

[0029] Data collection and processing unit, which is responsible for collecting data from the sensor network unit and performing preliminary processing and filtering;

[0030] The abnormality detection and judgment unit is used to analyze the data transmitted by the data acquisition and processing unit in real time according to the preset safety threshold and logic rules, and immediately trigger the alarm mechanism when an abnormal situation is detected;

[0031] The alarm and notification unit is responsible for generating and sending alarm information after the abnormality detection and judgment unit sends an alarm signal.

[0032] Preferably, the user interaction and feedback module includes:

[0033] The operation interface unit is used to provide a visual interface for users to interact with the device, allowing users to input instructions, set parameters, and view device status.

[0034] The feedback information generating unit is used to generate corresponding feedback information according to the running status, operation result or alarm information of the safety and system monitoring module of the equipment.

[0035] Preferably, the algorithm and analysis module includes:

[0036] The instruction processing unit is responsible for receiving instructions from the control module and performing preliminary processing and analysis;

[0037] Path planning unit, which is used to calculate the best transportation path according to the starting position and target position of the transportation task, combined with the current state of the equipment and the preset algorithm;

[0038] An action sequence generation unit, which is used to generate a detailed action sequence based on the path planning result, combined with the motion characteristics and control requirements of the device;

[0039] The data management and storage unit is responsible for managing and storing various data generated by the algorithm and analysis module, including path planning results, action sequences and anomaly detection records.

[0040] A method for intelligent transportation of small items outside a building, the method steps are as follows:

[0041] The user sends instructions through the operation interface of the user interaction and feedback module to set the target location and transportation requirements;

[0042] The control module receives the instruction, and the instruction parsing unit parses the target position, action type and speed level;

[0043] The task scheduling unit schedules the transport module and the motor drive module to perform the transport task according to the parsed instructions;

[0044] The motor drive module controls the motor to realize the horizontal movement of the transport platform, the vertical lifting of the hook and the angle adjustment of the boom according to the instructions of the control module;

[0045] The transport module carries and moves small items to the target location through a mechanical structure and a power transmission unit;

[0046] The safety and system monitoring module monitors the operating status and surrounding environment of the equipment in real time and collects data through the sensor network unit;

[0047] The data acquisition and processing unit processes the sensor data, and the anomaly detection and judgment unit analyzes the data and identifies abnormal situations;

[0048] If an abnormal situation is detected, the alarm and notification unit immediately triggers the alarm mechanism and notifies the user through the user interaction and feedback module;

[0049] The algorithm and analysis module receives instructions from the control module, performs path planning and action sequence generation, and optimizes the transportation process;

[0050] After the transportation is completed, the feedback information generation unit will feed back the transportation results and safety status to the user, completing the entire transportation process.

[0051] Preferably, the algorithm and analysis module calculates the best transportation path method as follows:

[0052] Define the starting node and the target node. The starting node corresponds to the coordinate point where the transportation task starts, and the target node corresponds to the coordinate point where the transportation task ends.

[0053] Create an open list and a closed list. The open list is used to store the nodes to be evaluated, and the closed list is used to store the nodes that have been evaluated.

[0054] The node is evaluated, where the calculation method of the evaluation node is:

[0055] F(n)=G(n)+H(n)

[0056] In the formula, n represents the node, F(n) represents the estimated total cost from the starting node to the target node through the current node n, G(n) represents the actual path cost from the starting node to the current node n, and H(n) represents the estimated minimum cost from the current node n to the target node;

[0057] Add the start node to the open list and set its G(start) = 0, H(start) = heuristic estimate;

[0058] Select the node with the smallest F(n) value from the open list as the current node, and transfer the node from the open list to the closed list;

[0059] Generate all adjacent nodes of the current node, and check each adjacent node;

[0060] If the node is in the closed list, it is ignored;

[0061] If the node is no longer in the open list, calculate its G(n'), H(n'), and F(n') and add it to the open list;

[0062] If the node is already in the open list, but the G(n') reached through the current path is smaller, update its G(n'), F(n'), and recalculate its parent node to be this node;

[0063] Repeat the steps of selecting nodes and expanding nodes until the target node is found in the open list or the open list is empty;

[0064] Starting from the target node, trace back to the starting node along the parent node pointer, and record the order of all nodes on the path to form the best path from the start to the target.

[0065] Preferably, the method for detecting abnormal conditions and issuing an alarm is:

[0066] Acquire surrounding environment data based on sensor network units, and pre-process and clean the data;

[0067] For each sensor data sequence, calculate its mean and standard deviation. The mean represents the center position of the data, and the standard deviation represents the degree of dispersion of the data.

[0068] The calculation formula of the mean is:

[0069]

[0070] In the formula, μ represents the mean, Y represents the total number of data points, i represents the i-th data point, and x i represents the value x of the i-th data point;

[0071] The calculation formula of standard deviation is:

[0072]

[0073] The anomaly threshold is set according to the characteristics of Gaussian distribution. Data points falling within the range of 3 standard deviations on both sides of the mean are normal, and data points outside this range are considered abnormal.

[0074] For new data points, calculate their distance to the mean and determine whether the distance exceeds the set threshold;

[0075] The calculation formula of the deviation value is:

[0076] ε=|x new -μ|

[0077] In the formula, ε represents the deviation value, x new Represents a new data point.

[0078] Compared with the prior art, the present invention has the following beneficial effects:

[0079] The external intelligent transportation system for buildings proposed in the present invention significantly improves transportation efficiency and saves human resources through precise control, intelligent algorithm optimization of transportation routes, and autonomous completion of transportation tasks. The system's integrated security monitoring and protection measures enhance the safety of the transportation process, and the user-friendly interactive interface improves the user experience. At the same time, automated and intelligent operations reduce transportation costs. It is particularly suitable for the transportation of small items for takeout and express delivery, and has broad application prospects and high practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 This is a structural framework diagram of the building's external intelligent transportation system for small items;

[0081] Figure 2 It is the structure diagram of the control module;

[0082] Figure 3 This is the structure diagram of the motor drive module;

[0083] Figure 4 This is the structural diagram of the transport module;

[0084] Figure 5 This is the structural diagram of the safety and system monitoring module;

[0085] Figure 6 This is the structure diagram of the user interaction and feedback module;

[0086] Figure 7 This is the structure diagram of the algorithm and analysis module. DETAILED DESCRIPTION

[0087] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0088] Reference Figure 1 As shown, a building external intelligent transportation system for small items includes:

[0089] Control module, motor drive module, transportation module, safety and system monitoring module, user interaction and feedback module and algorithm and analysis module. The control module receives user instructions and controls each module; the motor drive module realizes the motor movement, controls the movement of the transportation platform, the lifting and lowering of the hook and the angle of the boom; the transportation module is responsible for the transportation of goods; the safety and system monitoring module monitors the operating status and environment, and issues an alarm when an abnormality occurs; the user interaction and feedback module provides an operating interface and feedback information; the algorithm and analysis module processes instructions, calculates the optimal transportation path and action sequence, and identifies and analyzes abnormal situations.

[0090] Reference Figure 2 As shown, the control module includes:

[0091] An instruction receiving unit, which is responsible for receiving user instructions from the user interaction and feedback module;

[0092] An instruction parsing unit, the instruction parsing unit is used to parse the received original instruction to extract key information in the instruction, wherein the key information includes a target position, an action type and a speed level;

[0093] Task scheduling unit, which is used to schedule and assign tasks to various related modules according to the parsed instructions, and manage the execution order and priority of tasks;

[0094] The communication interface unit is used to provide a communication interface with other modules and to send and receive data with other modules;

[0095] Exception handling unit, which is used to monitor the abnormal situations that occur during the execution of tasks and take corresponding handling measures when abnormal situations are detected;

[0096] As the core of the building's external intelligent transportation system, the control module is finely designed and fully functional. It mainly includes an instruction receiving unit, an instruction parsing unit, a task scheduling unit, a communication interface unit and an exception handling unit. The instruction receiving unit safely receives user instructions and filters invalid information; the instruction parsing unit parses instructions to extract key task information; the task scheduling unit formulates the optimal task execution plan and dynamically adjusts it; the communication interface unit ensures efficient and stable communication between modules; the exception handling unit monitors and handles exceptions, ensures stable operation of the system and notifies users. These units work together to ensure the efficiency, safety and stability of the transportation system.

[0097] Reference Figure 3 As shown, the motor drive module includes:

[0098] The motor control unit is used to control the running state of the motor including starting, stopping, accelerating and decelerating the motor according to the result of the instruction receiving and parsing unit;

[0099] A motor status monitoring unit, which is used to monitor the current and voltage of the motor in real time;

[0100] Safety protection unit: The safety protection unit is used to issue an alarm and take protective measures in time when the current or voltage exceeds the normal range;

[0101] The motor drive module includes a motor control unit, a motor status monitoring unit and a safety protection unit. The motor control unit is responsible for accurately controlling the start, stop, acceleration and deceleration of the motor according to instructions. The motor status monitoring unit monitors the current and voltage of the motor in real time to ensure safe and stable operation of the motor. When the safety protection unit detects abnormal current or voltage, it will promptly issue an alarm and take protective measures to cut off the power supply or adjust the load to ensure system safety.

[0102] Reference Figure 4 As shown, the transport module includes:

[0103] Mechanical structure unit, the mechanical structure unit is used to include a transport platform, a hook and a boom, and is used to carry and move small items;

[0104] The power transmission unit is used to connect with the motor drive module, receive power from the motor drive module, and convert the rotational motion of the motor into horizontal movement of the transport platform, vertical lifting of the hook, and angle adjustment of the boom;

[0105] Position sensing unit, which is used to monitor the position information of key components in the transport module in real time;

[0106] Load monitoring unit, which is used to monitor the load condition of items during transportation;

[0107] The transport module consists of four main units: the mechanical structure unit carries and moves items; the power transmission unit converts motor power into various movements; the position sensing unit monitors the position of key components in real time; and the load monitoring unit ensures safe loading and prevents overloading. These units work together to achieve efficient and safe transport tasks.

[0108] Reference Figure 5 As shown, the security and system monitoring module includes:

[0109] A sensor network unit, which is used to monitor the operating status of the equipment and the surrounding environment in real time;

[0110] Data collection and processing unit, which is responsible for collecting data from the sensor network unit and performing preliminary processing and filtering;

[0111] The abnormality detection and judgment unit is used to analyze the data transmitted by the data acquisition and processing unit in real time according to the preset safety threshold and logic rules, and immediately trigger the alarm mechanism when an abnormal situation is detected;

[0112] The alarm and notification unit is responsible for generating and sending alarm information after the abnormality detection and judgment unit sends an alarm signal;

[0113] The security and system monitoring module monitors the equipment status and surrounding environment in real time through the sensor network unit. The data acquisition and processing unit collects and preliminarily processes the data. The anomaly detection and judgment unit analyzes the data and triggers the alarm. The alarm and notification unit is responsible for generating and sending alarm information to ensure system safety.

[0114] Reference Figure 6 As shown, the user interaction and feedback module includes:

[0115] The operation interface unit is used to provide a visual interface for users to interact with the device, allowing users to input instructions, set parameters, and view device status.

[0116] A feedback information generating unit, the feedback information generating unit is used to generate corresponding feedback information according to the operation status of the equipment, the operation result or the alarm information of the safety and system monitoring module;

[0117] The user interaction and feedback module includes an operation interface unit and a feedback information generation unit. The operation interface unit provides an intuitive and easy-to-use visual interface that supports user command input, parameter setting and equipment status viewing. The feedback information generation unit generates diversified and customized feedback information through intelligent analysis based on the equipment operating status, operation results or alarm information, including text, graphics, and sound, to enhance user experience and system stability. The module also has a learning function to continuously optimize the presentation of feedback information.

[0118] Reference Figure 7 As shown, the algorithm and analysis module includes:

[0119] The instruction processing unit is responsible for receiving instructions from the control module and performing preliminary processing and analysis;

[0120] Path planning unit, which is used to calculate the best transportation path according to the starting position and target position of the transportation task, combined with the current state of the equipment and the preset algorithm;

[0121] An action sequence generation unit, which is used to generate a detailed action sequence based on the path planning result, combined with the motion characteristics and control requirements of the device;

[0122] Data management and storage unit, which is responsible for managing and storing various data generated by the algorithm and analysis module, including path planning results, action sequences and anomaly detection records;

[0123] The algorithm and analysis module includes an instruction processing unit, a path planning unit, an action sequence generation unit and a data management and storage unit. The instruction processing unit parses the control instructions, the path planning unit calculates the optimal transportation path, the action sequence generation unit generates a detailed action sequence, and the data management and storage unit manages and stores related data.

[0124] The algorithm and analysis module calculates the best transportation path method as follows:

[0125] Define the starting node and the target node. The starting node corresponds to the coordinate point where the transportation task starts, and the target node corresponds to the coordinate point where the transportation task ends.

[0126] Create an open list and a closed list. The open list is used to store the nodes to be evaluated, and the closed list is used to store the nodes that have been evaluated.

[0127] The node is evaluated, where the calculation method of the evaluation node is:

[0128] F(n)=G(n)+H(n)

[0129] In the formula, n represents the node, F(n) represents the estimated total cost from the starting node to the target node through the current node n, G(n) represents the actual path cost from the starting node to the current node n, and H(n) represents the estimated minimum cost from the current node n to the target node;

[0130] Add the start node to the open list and set its G(start) = 0, H(start) = heuristic estimate;

[0131] Select the node with the smallest F(n) value from the open list as the current node, and transfer the node from the open list to the closed list;

[0132] Generate all adjacent nodes of the current node, and check each adjacent node;

[0133] If the node is in the closed list, it is ignored;

[0134] If the node is no longer in the open list, calculate its G(n'), H(n'), and F(n') and add it to the open list;

[0135] If the node is already in the open list, but the G(n') reached through the current path is smaller, update its G(n'), F(n'), and recalculate its parent node to be this node;

[0136] Repeat the steps of selecting nodes and expanding nodes until the target node is found in the open list or the open list is empty;

[0137] Starting from the target node, trace back to the starting node along the parent node pointer, and record the order of all nodes on the path to form the best path from the start to the target.

[0138] The methods for detecting abnormal conditions and issuing alarms are:

[0139] Acquire surrounding environment data based on sensor network units, and pre-process and clean the data;

[0140] For each sensor data sequence, calculate its mean and standard deviation. The mean represents the center position of the data, and the standard deviation represents the degree of dispersion of the data.

[0141] The calculation formula of the mean is:

[0142]

[0143] In the formula, μ represents the mean, Y represents the total number of data points, i represents the i-th data point, and x i represents the value x of the i-th data point;

[0144] The calculation formula of standard deviation is:

[0145]

[0146] The anomaly threshold is set according to the characteristics of Gaussian distribution. Data points falling within the range of 3 standard deviations on both sides of the mean are normal, and data points outside this range are considered abnormal.

[0147] For new data points, calculate their distance to the mean and determine whether the distance exceeds the set threshold;

[0148] The calculation formula of the deviation value is:

[0149] ε=|x new -μ|

[0150] In the formula, ε represents the deviation value, x new Represents a new data point.

[0151] The usage process of the present invention is as follows: the user sets the target location and transportation requirements through the interactive interface, the control module parses these instructions and dispatches the transportation module and the motor drive module to perform the task, the motor drive module controls the movement of the transportation platform, the lifting of the hook and the angle of the boom, and the transportation module is responsible for the actual movement of the items. The system has built-in security monitoring, collects data through the sensor network, identifies anomalies after processing and analysis, and triggers an alarm to notify the user, the algorithm and analysis module optimizes the transportation path and action, and feedbacks the results and safety status to the user after the task is completed.

[0152] To sum up, the advantages of the present invention are: through precise control, optimization of transportation routes by intelligent algorithms, and autonomous completion of transportation tasks, the transportation efficiency is significantly improved and human resources are saved; the system's integrated security monitoring and protection measures enhance the safety of the transportation process; the user-friendly interactive interface improves the user experience; at the same time, automated and intelligent operations reduce transportation costs; it is particularly suitable for the transportation of small items for takeout and express delivery, and has broad application prospects and high practical value.

[0153] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A building external intelligent transportation system for small items, characterized in that: include: Control module: The control module is used for the user to send instructions to the device terminal, and the device terminal parses and controls the subsequent operation process after receiving the instructions; A motor drive module, the motor drive module is electrically connected to the control module, and is used to convert the instructions issued by the control module into actual actions of the motor, and realize the forward and reverse rotation and stop of the motor by controlling the attraction and disconnection of multiple AC contactors, thereby controlling the horizontal and lateral movement of the transport platform, the vertical ascent and descent movement of the hook, and the angle adjustment of the boom; A transport module, the transport module is electrically connected to the motor drive module, and the transport module is used to transport small items from a starting position to a target position; A safety and system monitoring module, which is electrically connected to the control module, the motor drive module and the transport module, and is responsible for monitoring the operating status and surrounding environment of the transport equipment, and promptly issues an alarm when an abnormal situation is detected; A user interaction and feedback module, the user interaction and feedback module is electrically connected to the control module, the motor drive module, the transportation module and the safety and system monitoring module, and the user interaction and feedback module is used to provide an operation interface and feedback information for the user; Algorithm and analysis module, the software and algorithm module is electrically connected to the control module, transportation module, safety and system monitoring module and user interaction and feedback module. The software and algorithm module is responsible for processing the instructions from the control module, and calculating the optimal transportation path and action sequence according to the current state of the equipment and the preset algorithm, and identifying and analyzing abnormal situations for the safety and system monitoring module.

2. The building external intelligent transportation system for small items according to claim 1, characterized in that: The control module includes: An instruction receiving unit, which is responsible for receiving user instructions from the user interaction and feedback module; An instruction parsing unit, the instruction parsing unit is used to parse the received original instruction to extract key information in the instruction, wherein the key information includes a target position, an action type and a speed level; Task scheduling unit, which is used to schedule and assign tasks to various related modules according to the parsed instructions, and manage the execution order and priority of tasks; The communication interface unit is used to provide a communication interface with other modules and to send and receive data with other modules; Exception handling unit,The exception handling unit is used to monitor the abnormal situations that occur during the task execution, and take corresponding handling measures when an abnormal situation is detected.

3. The building external intelligent transportation system for small items according to claim 1, characterized in that: The motor drive module includes: The motor control unit is used to control the running state of the motor including starting, stopping, accelerating and decelerating the motor according to the result of the instruction receiving and parsing unit; A motor status monitoring unit, which is used to monitor the current and voltage of the motor in real time; Safety protection unit: The safety protection unit is used to issue an alarm and take protective measures in time when the current or voltage exceeds the normal range.

4. The building external intelligent transportation system for small items according to claim 1, characterized in that: The transport module includes: Mechanical structure unit, the mechanical structure unit is used to include a transport platform, a hook and a boom, and is used to carry and move small items; The power transmission unit is used to connect with the motor drive module, receive power from the motor drive module, and convert the rotational motion of the motor into horizontal movement of the transport platform, vertical lifting of the hook, and angle adjustment of the boom; Position sensing unit, which is used to monitor the position information of key components in the transport module in real time; Load monitoring unit,The load monitoring unit is used to monitor the load condition of items during transportation.

5. The building external intelligent transportation system for small items according to claim 1, characterized in that: Security and system monitoring modules include: A sensor network unit, which is used to monitor the operating status of the equipment and the surrounding environment in real time; Data collection and processing unit, which is responsible for collecting data from the sensor network unit and performing preliminary processing and filtering; The abnormality detection and judgment unit is used to analyze the data transmitted by the data acquisition and processing unit in real time according to the preset safety threshold and logic rules, and immediately trigger the alarm mechanism when an abnormal situation is detected; The alarm and notification unit is responsible for generating and sending alarm information after the abnormality detection and judgment unit sends an alarm signal.

6. The building external intelligent transportation system for small items according to claim 1, characterized in that: User interaction and feedback modules include: The operation interface unit is used to provide a visual interface for users to interact with the device, allowing users to input instructions, set parameters, and view device status. The feedback information generating unit is used to generate corresponding feedback information according to the running status, operation result or alarm information of the safety and system monitoring module of the equipment.

7. The building external intelligent transportation system for small items according to claim 1, characterized in that: The algorithm and analysis modules include: The instruction processing unit is responsible for receiving instructions from the control module and performing preliminary processing and analysis; Path planning unit, which is used to calculate the best transportation path according to the starting position and target position of the transportation task, combined with the current state of the equipment and the preset algorithm; An action sequence generation unit, which is used to generate a detailed action sequence based on the path planning result, combined with the motion characteristics and control requirements of the device; The data management and storage unit is responsible for managing and storing various data generated by the algorithm and analysis module, including path planning results, action sequences and anomaly detection records.

8. A method for building external intelligent transportation of small items, characterized in that: The method steps are: The user sends instructions through the operation interface of the user interaction and feedback module to set the target location and transportation requirements; The control module receives the instruction, and the instruction parsing unit parses the target position, action type and speed level; The task scheduling unit schedules the transport module and the motor drive module to perform the transport task according to the parsed instructions; The motor drive module controls the motor to realize the horizontal movement of the transport platform, the vertical lifting of the hook and the angle adjustment of the boom according to the instructions of the control module; The transport module carries and moves small items to the target location through a mechanical structure and a power transmission unit; The safety and system monitoring module monitors the operating status and surrounding environment of the equipment in real time and collects data through the sensor network unit; The data acquisition and processing unit processes the sensor data, and the anomaly detection and judgment unit analyzes the data and identifies abnormal situations; If an abnormal situation is detected, the alarm and notification unit immediately triggers the alarm mechanism and notifies the user through the user interaction and feedback module; The algorithm and analysis module receives instructions from the control module, performs path planning and action sequence generation, and optimizes the transportation process; After the transportation is completed, the feedback information generation unit will feed back the transportation results and safety status to the user, completing the entire transportation process.

9. The building external intelligent transportation system for small items according to claim 7, characterized in that: The algorithm and analysis module calculates the best transportation path method as follows: Define the starting node and the target node. The starting node corresponds to the coordinate point where the transportation task starts, and the target node corresponds to the coordinate point where the transportation task ends. Create an open list and a closed list. The open list is used to store the nodes to be evaluated, and the closed list is used to store the nodes that have been evaluated. The node is evaluated, where the calculation method of the evaluation node is: F(n)=G(n)+H(n) In the formula, n represents the node, F(n) represents the estimated total cost from the starting node to the target node through the current node n, G(n) represents the actual path cost from the starting node to the current node n, and H(n) represents the estimated minimum cost from the current node n to the target node; Add the start node to the open list and set its G(start) = 0, H(start) = heuristic estimate; Select the node with the smallest F(n) value from the open list as the current node, and transfer the node from the open list to the closed list; Generate all adjacent nodes of the current node, and check each adjacent node; If the node is in the closed list, it is ignored; If the node is no longer in the open list, calculate its G(n'), H(n'), and F(n') and add it to the open list; If the node is already in the open list, but the G(n') reached through the current path is smaller, update its G(n'), F(n'), and recalculate its parent node to be this node; Repeat the steps of selecting nodes and expanding nodes until the target node is found in the open list or the open list is empty; Starting from the target node, trace back to the starting node along the parent node pointer, and record the order of all nodes on the path to form the best path from the start to the target.

10. The method for building external intelligent transportation of small items according to claim 8, characterized in that: The methods for detecting abnormal conditions and issuing alarms are: Acquire surrounding environment data based on sensor network units, and pre-process and clean the data; For each sensor data sequence, calculate its mean and standard deviation. The mean represents the center position of the data, and the standard deviation represents the degree of dispersion of the data. The calculation formula of the mean is: In the formula, μ represents the mean, Y represents the total number of data points, i represents the i-th data point, and x i represents the value x of the i-th data point; The calculation formula of standard deviation is: The anomaly threshold is set according to the characteristics of Gaussian distribution. Data points falling within the range of 3 standard deviations on both sides of the mean are normal, and data points outside this range are considered abnormal. For new data points, calculate their distance to the mean and determine whether the distance exceeds the set threshold; The calculation formula of the deviation value is: e=|x new -m| In the formula, ε represents the deviation value, x new Represents a new data point.

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