Vehicle-mounted unattended intelligent mobile emergency cabinet

Abstract

The invention relates to a vehicle-mounted unattended intelligent mobile emergency cabinet which comprises a system configuration module, a material detail directory tree module, a face recognition and authority verification module, an automatic order generation and inventory updating module, an inventory alarm and decision-making auxiliary module, a gravity sensing unit and a data processing module. The system configuration module is responsible for configuration of various information and parameters, the material detail directory tree module provides and manages material information, the face recognition and authority verification module guarantees safety, the automatic order generation and inventory updating module realizes inventory management and automatic replenishment, and the inventory alarm and decision-making auxiliary module performs intelligent prediction and alarm. The gravity sensing unit monitors material weight changes, and the data processing module manages and analyzes data in a unified mode. The whole system improves the intelligence and efficiency of material management, reduces the labor cost, is suitable for the emergency material supply field of electric power engineering and the like, and has remarkable practical value and application prospect.

Description

Technical Field

[0001] The invention relates to a mobile emergency cabinet, and in particular to a vehicle-mounted unattended intelligent mobile emergency cabinet. Background Art

[0002] With the rapid development of modern society, the frequent occurrence of emergencies has brought great challenges to social public security, business operations and personal life. The occurrence of various emergencies such as natural disasters, industrial accidents, public health incidents, etc., urgently requires an effective emergency management system to respond and handle them quickly. These incidents usually require timely material dispatch and management to ensure that rescue work can be carried out quickly and minimize losses. However, the traditional emergency material management model has many shortcomings and is difficult to meet the efficient and intelligent needs of modern emergency management.

[0003] In traditional emergency material management, low manual management efficiency is a significant problem. Traditional emergency material management relies on manual counting, allocation and dispatching of materials, which is not only inefficient but also prone to errors. In an emergency, the response speed of manual management cannot meet the needs of rapid dispatch, thus delaying the rescue time and affecting the rescue effect.

[0004] At the same time, the lag in updating material information is also a major limitation of traditional emergency material management. The management of emergency materials involves a large amount of material information, such as inventory, material types, storage locations, etc. Traditional management methods often use manual records, and information updates lag, resulting in the inability to quickly obtain accurate material information in emergency situations, affecting the timeliness and effectiveness of rescue work. This lagging information management method seriously restricts the speed and efficiency of emergency response.

[0005] In addition, imperfect inventory management is also one of the main problems faced by traditional emergency material management. The traditional emergency material management system lacks a scientific inventory management mechanism and cannot monitor and update inventory information in real time, which is prone to shortages or surpluses of materials. This may not only lead to insufficient supply of materials in emergency situations and affect rescue work, but also lead to excessive storage and waste of materials. At the same time, there are also problems with the shelf life management of materials, which may lead to waste or improper use of expired materials, further increasing the complexity and difficulty of management.

[0006] The lack of intelligent decision-making tools is another major shortcoming of traditional emergency material management. Emergency management requires accurate decisions to be made in a short period of time, and traditional management methods are difficult to provide effective decision-making support. In the absence of intelligent decision-making tools, rescue commanders can only rely on experience and subjective judgment, which can easily lead to decision-making errors, thus affecting the efficiency and effectiveness of rescue work. In the face of complex and changing emergency situations, traditional decision-making methods seem to be powerless and unable to respond to various emergencies in a timely and effective manner.

[0007] In summary, the traditional emergency material management model has many limitations in terms of manual management efficiency, information update, inventory management, and decision support, and it is difficult to meet the needs of modern emergency management for efficiency and intelligence. Therefore, it is necessary to introduce advanced technologies and management models to comprehensively improve and optimize emergency material management in order to improve the speed and efficiency of emergency response, ensure that rescue work can be carried out quickly and effectively in an emergency, minimize losses, and ensure the stability and safety of social public security, corporate operations, and personal life. Summary of the invention

[0008] In order to solve the above problems in the prior art, the present invention proposes an unattended intelligent mobile emergency cabinet based on a vehicle, and the mobile emergency cabinet comprises:

[0009] System configuration module, used to obtain and configure material information, authority verification information, order generation and inventory update parameters, alarm thresholds and decision parameters, gravity sensing device configuration, and data processing and transmission strategies;

[0010] The material detail directory tree module is used to provide material information to generate orders and update inventory, and transmit and receive material information data;

[0011] Face recognition and permission verification module, used for permission verification, and transmitting and receiving permission verification data;

[0012] Automatically generate order and inventory update module, used to generate order and update inventory according to material information, and monitor weight changes of materials entering and leaving the warehouse;

[0013] Inventory alarm and decision support module, which is used to set alarm thresholds, provide alarm and decision information, and generate replenishment plans;

[0014] Gravity sensing unit, used to monitor changes in material weight and transmit and receive weight data;

[0015] The data processing module is used to uniformly process and transmit data for centralized management and analysis.

[0016] The system configuration module is connected to the material detail directory tree module to obtain and configure material information; the system configuration module is connected to the face recognition and authority verification module to configure authority verification information; the system configuration module is connected to the automatic order generation and inventory update module, the inventory alarm and decision-making auxiliary module, the gravity sensing unit and the data processing module to respectively configure order generation and inventory update parameters, alarm thresholds and decision parameters, gravity sensing device configuration, and data processing and transmission strategies;

[0017] The material detail directory tree module is connected with the automatic order generation and inventory update module to provide material information to generate orders and update inventory;

[0018] The material detail directory tree module is connected with the data processing module to transmit and receive material information data;

[0019] The face recognition and authority verification module is connected to the data processing module to transmit and receive authority verification data;

[0020] The automatic order generation and inventory update module is connected with the inventory alarm and decision support module, the gravity sensing unit and the data processing module to receive alarm and decision information to generate replenishment plans and monitor the weight changes of materials entering and leaving the warehouse;

[0021] The inventory alarm and decision support module is connected to the data processing module for transmitting and receiving alarm and decision data;

[0022] The gravity sensing unit is connected to the data processing module for transmitting and receiving weight data;

[0023] The data processing module is connected with all other modules and is responsible for unified processing and transmission of data for centralized management and analysis.

[0024] The system configuration module further includes an energy management unit, and the energy management unit includes:

[0025] Energy monitoring module, used to monitor the energy consumption data of each part of the system in real time;

[0026] Energy allocation algorithm, dynamically adjusts the power allocation of each part according to energy consumption data and system operation status; energy consumption optimization module, provides energy consumption optimization suggestions based on historical energy consumption data and usage patterns

[0027] The material detailed directory tree module further includes: collecting material information and generating a directory tree including material codes, names, specifications, pictures and descriptions; classifying materials based on set classification rules using machine learning algorithms, and storing the classification results in the directory tree; optimizing the storage location and method of materials in the warehouse according to the frequency of use and characteristics of the materials.

[0028] The face recognition and authority verification module includes:

[0029] The image capture module is responsible for capturing the facial images of people entering the room in real time and performing preprocessing;

[0030] Feature extraction module, which uses deep learning algorithms to extract feature points from captured facial images;

[0031] The feature comparison module compares the extracted feature points with the authorized personnel features in the database;

[0032] The permission verification module verifies permissions based on the comparison results and decides whether to allow access to the warehouse;

[0033] The data update module regularly updates the facial feature database of authorized personnel.

[0034] The automatic order generation and inventory update module includes:

[0035] The material selection unit is used to select materials that need to be shipped out or replenished according to user needs and inventory status;

[0036] The order generation unit automatically generates outbound orders or replenishment orders based on the material selection results;

[0037] Inventory update unit, which updates inventory data in real time after materials are shipped out or received;

[0038] Data synchronization unit ensures that all inventory data is synchronized between various modules of the system.

[0039] The inventory warning and decision support module includes:

[0040] An alarm threshold setting unit, used to set and manage inventory quantity alarm thresholds;

[0041] Real-time inventory monitoring unit, used to monitor inventory status in real time;

[0042] Intelligent forecasting unit, used to predict material usage trends and demand changes based on historical data and current inventory status;

[0043] Replenishment plan generation unit, which automatically generates replenishment plans and adjustment strategies based on forecast results and current inventory status;

[0044] The data processing unit is used to process and analyze inventory data to support decision-making. The gravity sensing unit includes:

[0045] High-precision gravity sensor, used to monitor the weight changes of materials on the shelves in real time;

[0046] Gravity data collection module, used to collect weight data of materials on the shelves in real time and perform preliminary processing;

[0047] A gravity data transmission module, used for transmitting the data after preliminary processing to the system configuration module;

[0048] The gravity data processing module is used to further process and analyze the received weight data, monitor the changes in weight data in real time, determine the placement and retrieval of materials, update the material quantity and weight information in the inventory database, and simultaneously update other modules of the system.

[0049] The mobile emergency storage cabinet is connected to the mobile power supply vehicle.

[0050] The mobile emergency storage cabinet is used for supplying materials for power engineering projects.

[0051] The unattended intelligent mobile emergency storage cabinet of the present invention realizes intelligent, automated and efficient material management through the collaborative work of multiple modules. The material detailed directory tree module provides accurate material information and optimized storage strategies, and the face recognition and authority verification modules ensure the security and accuracy of authority management. The automatic order generation and inventory update module realizes real-time inventory management and automatic replenishment, and the inventory alarm and decision-making assistance module improves the initiative and response speed of inventory management through intelligent prediction and alarm mechanisms. The gravity sensing unit monitors the weight changes of materials in real time to ensure the accuracy of inventory data. The data processing module uniformly manages and analyzes data to ensure the efficient operation and collaborative work of various parts of the system. The overall design improves the efficiency of material management and reduces labor costs. It is suitable for the supply of emergency materials in fields such as power engineering, and has significant practical value and application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present application, but do not constitute an improper limitation of the present invention. In the drawings:

[0053] Figure 1 It is the overall design block diagram of the unattended intelligent mobile emergency storage cabinet of the present invention;

[0054] Figure 2 It is a connection relationship diagram between the modules of the unattended intelligent mobile emergency storage cabinet of the present invention. DETAILED DESCRIPTION

[0055] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, wherein the illustrative embodiments and descriptions are only used to explain the present invention but are not intended to limit the present invention.

[0056] Example 1: Overall design of unattended intelligent mobile emergency storage cabinet

[0057] An unattended intelligent mobile emergency storage cabinet, the overall design of which is as follows Figure 1 As shown, it includes system configuration module 1, material detailed directory tree module 2, face recognition and authority verification module 3, automatic order generation and inventory update module 4, inventory alarm and decision support module 5, gravity sensing unit 6 and data processing module 7. These modules work together through specific connection relationships to realize various functions of the warehouse, such as material management, authority verification, order generation, inventory update, alarm and decision support, gravity sensing and data processing, etc.

[0058] As attached Figure 2 As shown in the figure, the connection relationship between each module is specifically explained.

[0059] The system configuration module is connected to the material detail directory tree module to obtain and configure material information, and is connected to the face recognition and authority verification module to configure authority verification information. It is also connected to the automatic order generation and inventory update module, the inventory alarm and decision support module, the gravity sensing unit and the data processing module to configure order generation and inventory update parameters, alarm thresholds and decision parameters, gravity sensing equipment, and data processing and transmission strategies.

[0060] The material detail directory tree module is connected to the system configuration module to receive the configured material information, and is connected to the automatic order generation and inventory update module to provide material information to generate orders and update inventory. It is also connected to the data processing module to transmit and receive material information data.

[0061] The face recognition and permission verification module is connected to the system configuration module to receive and configure permission verification information, and is connected to the data processing module to transmit and receive permission verification data. The automatic order generation and inventory update module is connected to the system configuration module to receive order generation and inventory update parameters. It is also connected to the material detail directory tree module, inventory alarm and decision support module, gravity sensing unit and data processing module to obtain material information to generate orders and update inventory, receive alarms and decision information to generate replenishment plans, monitor weight changes of materials out of the warehouse and in the warehouse, and transmit and receive relevant data.

[0062] The inventory alarm and decision-making assistance module is connected to the system configuration module, receives and configures alarm thresholds and decision parameters, and is connected to the automatic order generation and inventory update module and the data processing module to provide alarm and decision information to generate replenishment plans, as well as transmit and receive alarm and decision data. The gravity sensing unit is connected to the system configuration module to configure and manage gravity sensing devices, and is connected to the automatic order generation and inventory update module and the data processing module to monitor the weight changes of materials entering and leaving the warehouse, and transmit and receive weight data.

[0063] As a key node, the data processing module is connected to the system configuration module, material detail directory tree module, face recognition and authority verification module, automatic order generation and inventory update module, inventory alarm and decision support module and gravity sensing unit. It is responsible for configuring data processing and transmission strategies, and transmitting and receiving various data.

[0064] Through the above connection relationship, each module works together to realize the overall functions of the unmanned intelligent mobile emergency cabinet. These functions include material management, authority verification, order generation, inventory update, alarm and decision support, gravity sensing and data processing, ensuring that the system can still operate efficiently and intelligently without human supervision.

[0065] Example 2: System Configuration Module

[0066] System configuration module 1 is used to obtain and configure material information, authority verification information, order generation and inventory update parameters, alarm thresholds and decision parameters, gravity sensing equipment configuration, and data processing and transmission strategies; in order to improve energy utilization efficiency, system configuration module 1 is equipped with an energy management unit that can intelligently allocate and manage power resources and reduce energy waste.

[0067] The system configuration module in the embodiment is used to obtain and configure material information, authority verification information, order generation and inventory update parameters, alarm thresholds and decision parameters, gravity sensing device configuration, and data processing and transmission strategies. The accuracy and efficiency of each configuration are ensured through the user interface and automated processes.

[0068] The system configuration module obtains material information from the material detail directory tree module and performs configuration. First, through the material information collection step, the basic information of the material is obtained from the material detail directory tree module, including the material code, name, specification, picture and description. Manual entry and batch import functions are provided to facilitate users to add and update material information. Subsequently, the material information configuration step sets the material classification rules, classifies the materials by category, purpose, material, etc., configures the material storage location, optimizes the storage location in the warehouse based on the frequency of use and characteristics of the materials, and configures the safety inventory and replenishment parameters of the materials to ensure the efficiency of material management.

[0069] In terms of permission verification information, the system configuration module is connected to the face recognition and permission verification module to configure permission verification information. The permission information collection step obtains and enters the basic information of the authorized personnel, including name, work number, department, and facial image, etc., and provides a batch import function to facilitate users to quickly add authorized personnel information. The permission information configuration step sets the permission level, assigns different permission levels according to the personnel's position and responsibilities, configures access control rules, and defines the areas and operation permissions that personnel with different permission levels can access.

[0070] The system configuration module is also connected to the automatic order generation and inventory update module to configure order generation and inventory update parameters. In terms of order generation parameter configuration, set the order generation rules, including the generation conditions and priorities of outbound orders and replenishment orders, configure the order format and content, and define the basic information fields and formats of the orders. The inventory update parameter configuration steps set the inventory update rules, including the trigger conditions and update frequency of inventory updates, configure the inventory warning threshold, define the upper and lower limits of inventory and the safety stock, and ensure the accuracy and timeliness of inventory management.

[0071] In addition, the system configuration module is connected to the inventory alarm and decision support modules to configure alarm thresholds and decision parameters. The alarm threshold configuration step sets the alarm threshold for material inventory, defines alarm trigger conditions and alarm levels, and configures alarm notification methods, including SMS, email, and system messages, to ensure that alarm information is communicated in a timely manner. The decision parameter configuration step sets the parameters for decision support, including material usage frequency analysis, demand forecasting, and replenishment plan generation, configures decision rules, and defines decision strategies and processing procedures under different circumstances.

[0072] In terms of gravity sensing device configuration, the system configuration module is connected to the gravity sensing unit to configure and manage the gravity sensing device. The device information collection step obtains the basic information of the gravity sensing device, including the device model, specifications, installation location and calibration parameters, and provides manual entry and batch import functions to facilitate users to add and update device information. The device configuration and management step sets the working mode and collection frequency of the gravity sensing device to ensure the efficient operation of the device, configures the calibration parameters and maintenance plan of the device, and calibrates the device regularly to ensure the accuracy of the measurement data.

[0073] The system configuration module is also connected to the data processing module to configure data processing and transmission strategies. The data processing configuration step sets data processing rules, including data collection, preprocessing, analysis and storage, configures data processing algorithms and models, and defines specific steps and methods for data processing. The data transmission configuration step sets data transmission rules, including the frequency, format and security strategy of data transmission, configures data transmission protocols and encryption methods, and ensures the reliability and security of data transmission.

[0074] The system configuration module provides a user-friendly interface to facilitate users to perform various configuration operations. The specific functions of the user interface include information entry and import, providing manual entry and batch import functions, which facilitate users to quickly add and update various types of information. The parameter setting and management interface facilitates users to configure and adjust various parameters. The alarm and notification interface facilitates users to view and process various alarm information. The data query and analysis function facilitates users to view and analyze various types of data.

[0075] The energy management unit is used to intelligently allocate and manage power resources and reduce energy waste. It includes the following parts:

[0076] Energy monitoring module: real-time monitoring of energy consumption data of various parts of the system, including gravity sensing unit 6, shelf indicator lights, electronic tags, etc.

[0077] Energy allocation algorithm: Dynamically adjust the power allocation of each part according to energy consumption data and system operation status. The algorithm steps are as follows:

[0078] 1. Collect real-time energy consumption data of each device.

[0079] 2. Based on the current system load, give priority to ensuring the power supply of key equipment.

[0080] 3. Limit power or power off non-critical equipment to reduce overall energy consumption.

[0081] Energy consumption optimization module: Based on historical energy consumption data and usage patterns, it provides energy consumption optimization suggestions, including equipment operation time adjustment and energy-efficient equipment replacement.

[0082] Example 3: Material Details Directory Tree Module

[0083] The material detailed directory tree module 2 is used to establish a directory tree containing material codes, material names, material specifications, material pictures and material descriptions. In order to improve the efficiency of material management, the material detailed directory tree module 2 adds intelligent material classification and partition storage functions, which can optimize the storage location and method in the warehouse according to the frequency and characteristics of material use, thereby improving the efficiency of picking and placing.

[0084] (I) Establishment of material catalog tree

[0085] The material detailed directory tree module 2 first establishes a directory tree including material codes, material names, material specifications, material pictures and material descriptions. The specific method for establishing the directory tree includes the following steps:

[0086] Material data collection: Obtain material information from suppliers, production systems or manual user entry, including material codes, names, specifications, pictures and descriptions.

[0087] Directory tree generation algorithm: Generate a directory tree based on the collected material information according to certain classification rules. The algorithm steps are as follows:

[0088] 1. Classify materials, such as by category, purpose, material, etc.

[0089] 2. Create sub-directories under each category to further subdivide the materials.

[0090] 3. Generate leaf nodes based on the specific information of the materials, including material code, name, specifications, pictures and descriptions.

[0091] Directory tree storage: Store the generated directory tree structure in the database for quick retrieval and update.

[0092] (II) Intelligent material classification

[0093] The material detail directory tree module 2 adds intelligent material classification function, which is achieved through the following technical means:

[0094] Classification rule setting: Set the rules for material classification, including but not limited to material purpose, frequency, weight, volume, etc.

[0095] Classification algorithm: Based on the set classification rules, the machine learning algorithm is used to intelligently classify materials. The algorithm steps are as follows:

[0096] 1. Collect historical inbound and outbound data as training data sets.

[0097] 2. Select appropriate machine learning algorithms, such as decision trees, random forests, etc., to train classification models.

[0098] 3. Use the trained model to classify new materials and store the classification results in the directory tree.

[0099] Classification result verification: Regularly verify the accuracy of classification results and adjust classification rules and model parameters according to actual usage.

[0100] (III) Partition storage optimization

[0101] The material detailed directory tree module 2 optimizes the storage location and method of materials in the warehouse according to the frequency and characteristics of materials through the partition storage function. The specific implementation includes the following steps:

[0102] Frequency of use analysis: Based on historical in-and-out data, analyze the frequency of use of each material. The calculation formula is as follows:

[0103]

[0104] Storage location optimization: Based on the frequency and characteristics of materials, the following optimization strategies are adopted:

[0105] 1. High-frequency materials should be stored in locations close to entrances and exits to reduce the time for retrieval and placement.

[0106] 2.Heavy materials are stored on the bottom shelves for easy access.

[0107] 3. Store larger materials in areas with larger space to avoid taking up too much storage space.

[0108] Storage strategy adjustment: Dynamically adjust the storage location and method of materials based on real-time inventory data and material usage to ensure optimal use of warehouse space.

[0109] (IV) Specific implementation methods

[0110] The specific implementation steps of material detail directory tree module 2 are as follows:

[0111] 1. Initialize the material directory tree, collect material information and generate the directory tree structure.

[0112] 2. Set classification rules, train classification models, and intelligently classify new materials.

[0113] 3. Analyze the frequency of material use and optimize the location and method of material storage.

[0114] 4. Dynamically adjust storage strategies to ensure optimal utilization of warehouse space.

[0115] 5. Store the classification and storage optimization results in the database for quick retrieval and update.

[0116] Example 4: Face recognition and permission verification module

[0117] The face recognition and permission verification module 3 is used to scan faces to verify entry and exit permissions. This module uses a high-precision face recognition algorithm to ensure that only authorized personnel can enter the warehouse, ensuring the safety of warehouse materials.

[0118] (I) Hardware composition

[0119] The face recognition and permission verification module 3 includes the following hardware components:

[0120] High-resolution camera: used to capture facial images of people entering.

[0121] Infrared sensor: used for face recognition in low-light environments.

[0122] Image processing unit: used to process the captured facial image and compare it with the authorized person data in the database.

[0123] Display screen and voice prompt system: used to display verification results and provide operation prompts.

[0124] Controller: used to control the operation of hardware such as cameras, sensors, and displays.

[0125] (II) Software Composition

[0126] The software part of face recognition and permission verification module 3 includes the following main functional modules:

[0127] Image capture module: responsible for capturing the facial images of people entering in real time and performing preprocessing such as image enhancement and noise removal.

[0128] Feature extraction module: extracts feature points from captured facial images using deep learning algorithms, including convolutional neural networks (CNN).

[0129] Feature matching module: compares the extracted feature points with the authorized personnel features in the database. The matching algorithms include Euclidean distance, cosine similarity, etc.

[0130] Permission verification module: performs permission verification based on the comparison results to decide whether to allow access to the warehouse.

[0131] Data update module: Regularly update the facial feature database of authorized personnel to ensure the timeliness and accuracy of data.

[0132] 3. High-precision face recognition algorithm

[0133] The face recognition and authority verification module 3 adopts a high-precision face recognition algorithm. The specific algorithm steps are as follows:

[0134] 1. Image preprocessing:

[0135] I processed =f(I raw )

[0136] Among them, I processed is the preprocessed image, I raw is the original captured image, and f is the preprocessing function, including image enhancement, grayscale, and noise removal operations.

[0137] 2. Feature extraction: F = CNN (I processed )

[0138] Among them, F is the feature vector extracted from the preprocessed image, and CNN is the convolutional neural network model.

[0139] 3. Feature comparison:

[0140]

[0141] Among them, D is the Euclidean distance, F i is the captured feature point, T i is the feature point corresponding to the authorized person in the database, n is the number of feature points, and i is the i-th feature point.

[0142] 4. Permission verification:

[0143] If D <Threshold,then access granted;otherwise,access denied.

[0144] Among them, Threshold is the preset feature comparison threshold.

[0145] (IV) System workflow

[0146] The workflow of face recognition and permission verification module 3 is as follows:

[0147] 1. Initialization: Start the system, and the camera and sensor enter standby mode.

[0148] 2. Image capture: When a person approaches the warehouse entrance, the camera and infrared sensor capture facial images.

[0149] 3. Feature extraction: The image capture module passes the image to the feature extraction module to extract facial feature points.

[0150] 4. Feature comparison: The feature extraction module passes the feature points to the feature comparison module to compare them with the authorized personnel features in the database.

[0151] 5. Permission verification: The feature matching module passes the matching results to the permission verification module to decide whether to allow access to the warehouse.

[0152] 6. Result display: The display screen shows the verification result, and the voice prompt system provides corresponding prompts; if the verification passes, the controller opens the warehouse door.

[0153] (V) Database Management

[0154] The database management in the face recognition and authority verification module 3 includes the following parts:

[0155] Authorized personnel data entry: Enter the facial image and identity information of authorized personnel through the background management system.

[0156] Data update: Regularly update the data of authorized personnel to ensure the accuracy of the database.

[0157] Data backup and recovery: Back up the database regularly to prevent data loss and provide data recovery function.

[0158] Example 5: Automatically generate order and inventory update module

[0159] The automatic order generation and inventory update module 4 is used to support the selection of multiple materials and generate orders, and update inventory information at the same time. This module can automatically generate outbound orders and replenishment orders according to actual needs, and update inventory data in real time after the materials are outbound or inbound, to ensure the accuracy and timeliness of inventory information.

[0160] (I) Functional composition

[0161] The automatic order generation and inventory update module 4 includes the following main functional units:

[0162] Material selection unit: used to select materials that need to be shipped out or replenished.

[0163] Order generation unit: automatically generates outbound orders or replenishment orders based on material selection results.

[0164] Inventory update unit: Update inventory data in real time after materials are shipped out or received.

[0165] Data synchronization unit: ensures that all inventory data is synchronized between various modules of the system.

[0166] (II) Material Selection Unit

[0167] The material selection unit selects materials that need to be shipped out or replenished according to user needs and inventory status. Its specific implementation includes the following steps:

[0168] User input requirements: The user enters the code and quantity of the required materials through the system interface.

[0169] Inventory Query: The system queries the current inventory data to determine the inventory status of the required materials.

[0170] Material selection algorithm: Select materials for shipment or replenishment based on user input and inventory status.

[0171] (III) Order generation unit

[0172] The order generation unit automatically generates a delivery order or a replenishment order based on the material selection results. Its specific implementation includes the following steps:

[0173] Generation of outbound order: When there is sufficient quantity of the materials required by the user in stock, the system generates an outbound order. The steps for order generation are as follows:

[0174] 1. Get the material code and quantity entered by the user.

[0175] 2. Query the material information in the material detail directory tree module 2, including material name, specifications, storage location, etc.

[0176] 3. Generate an outbound order, including material code, name, quantity, storage location, outbound time and other information.

[0177] Replenishment order generation: When the quantity of materials required by the user is insufficient in inventory, the system generates a replenishment order.

[0178] The steps to generate an order are as follows:

[0179] 1. Get the material code and quantity entered by the user.

[0180] 2. Query supplier information and determine the source of replenishment.

[0181] 3. Generate replenishment orders, including material code, name, quantity, supplier information, estimated arrival time and other information.

[0182] (IV) Inventory Update Unit

[0183] The inventory update unit updates the inventory data in real time after the materials are shipped out or in. Its specific implementation includes the following steps:

[0184] Outbound operation: According to the generated outbound order, the system controls the gravity sensing unit 6 and the shelf indicator light to guide the operator to outbound the materials, and monitors the weight changes of the materials in real time to ensure the accuracy of the outbound operation. After outbound, the system automatically updates the inventory data.

[0185] Warehouse entry operation: According to the generated replenishment order, after the materials arrive, the system controls the gravity sensing unit 6 and the shelf indicator light to guide the operator to enter the materials, and monitors the weight changes of the materials in real time to ensure the accuracy of the warehouse entry operation. After entering the warehouse, the system automatically updates the inventory data.

[0186] (V) Data synchronization unit

[0187] The data synchronization unit ensures that all inventory data is synchronized between the modules of the system. Its specific implementation includes the following steps:

[0188] Data collection: Real-time collection of data on material outbound and inbound operations.

[0189] Data processing: Process the collected data and update the inventory information in the system database.

[0190] Data distribution: Synchronize the updated inventory data to other modules of the system, such as the material detail directory tree module 2, inventory alarm and decision support module 5, etc., to ensure data consistency.

[0191] (VI) Automatically generate order and inventory update module workflow

[0192] The workflow of the automatic order generation and inventory update module 4 is as follows:

[0193] 1. User demand input: The user enters the code and quantity of the required materials through the system interface.

[0194] 2. Inventory query: The system queries the current inventory data to determine the inventory status of the required materials.

[0195] 3. Material selection: Select materials for shipment or replenishment based on user input and inventory status.

[0196] 4. Order generation: The system automatically generates an outbound order or a replenishment order based on the material selection results.

[0197] 5. Outgoing / ingoing operation: The system controls the gravity sensing unit 6 and the shelf indicator light to guide the operator to carry out the outgoing or incoming materials, and monitors the weight changes of the materials in real time.

[0198] 6. Inventory update: After the outbound or inbound operation is completed, the system automatically updates the inventory data.

[0199] 7. Data synchronization: The system synchronizes the updated inventory data to other modules of the system to ensure data consistency.

[0200] Example 6: Inventory Alert and Decision Support Module

[0201] The inventory alarm and decision-making support module 5 is used to set the inventory quantity alarm threshold to remind the warehouse management personnel to operate. In order to improve the intelligent level of inventory management, the inventory alarm and decision-making support module 5 adds an intelligent prediction unit, which can predict the material usage trend and demand changes in advance based on historical data and current inventory status, automatically generate replenishment plans and adjustment strategies, and avoid sudden shortages or excess inventory.

[0202] (I) Functional composition

[0203] The inventory warning and decision support module 5 includes the following main functional units:

[0204] Alarm threshold setting unit: used to set and manage inventory quantity alarm thresholds.

[0205] Real-time inventory monitoring unit: used to monitor inventory status in real time.

[0206] Intelligent Forecasting Unit: used to predict material usage trends and demand changes based on historical data and current inventory status.

[0207] Replenishment plan generation unit: used to automatically generate replenishment plans and adjustment strategies.

[0208] Data processing unit: used to process and analyze inventory data and support decision-making assistance.

[0209] (II) Alarm threshold setting unit

[0210] The alarm threshold setting unit is used to set and manage the inventory quantity alarm threshold. Its specific implementation includes the following steps:

[0211] Alarm threshold setting: Set different alarm thresholds according to the importance and usage frequency of different materials. The alarm threshold setting formula is as follows:

[0212] Alarm threshold = baseline inventory × safety factor

[0213] Among them, the benchmark inventory level is the average inventory level calculated based on historical data, and the safety factor is the adjustment factor set according to the importance of the materials.

[0214] Threshold management: Provides a user interface for managers to adjust alarm thresholds and review and update them regularly.

[0215] (III) Real-time Inventory Monitoring Unit

[0216] The real-time inventory monitoring unit is used to monitor the inventory status in real time to ensure that an alarm is issued in time when the quantity of materials reaches the alarm threshold. Its specific implementation includes the following steps:

[0217] Data collection: Inventory data is collected in real time through the gravity sensing unit 6 and the data processing module 7.

[0218] Status monitoring: Monitor and analyze the collected inventory data. When the quantity of materials approaches or falls below the alarm threshold, the system will issue an alarm signal.

[0219] Alarm notification: Notify warehouse managers via SMS, email or system message to prompt them to replenish or adjust inventory.

[0220] (IV) Intelligent prediction unit

[0221] The intelligent prediction unit predicts material usage trends and demand changes based on historical data and current inventory status. Its specific implementation includes the following steps:

[0222] Data preprocessing: Preprocess historical inbound and outbound data, including data cleaning, denoising and standardization.

[0223] Forecasting model selection: Select an appropriate forecasting model, such as a time series model, regression analysis model, etc. The specific model selection is based on the material usage characteristics and data characteristics.

[0224] Prediction model training: Use historical data to train prediction models.

[0225] Generate forecast results: Use the trained model to predict future material usage trends and demand changes, and generate forecast results.

[0226] Forecast result verification: Regularly verify the accuracy of forecast results and adjust forecast model parameters based on actual usage.

[0227] (V) Replenishment plan generation unit

[0228] The replenishment plan generation unit automatically generates a replenishment plan and adjustment strategy based on the prediction results of the intelligent prediction unit and the current inventory status. Its specific implementation includes the following steps:

[0229] Replenishment demand calculation: Calculate the replenishment demand in the future based on the forecast results. The calculation formula is as follows:

[0230] Replenishment demand = forecast usage - current inventory

[0231] Replenishment plan generation: Generate a replenishment plan based on replenishment needs, including material code, name, replenishment quantity, supplier information, estimated arrival time, etc.

[0232] Adjustment strategy generation: Generate inventory adjustment strategies based on forecast results and actual inventory status, such as adjusting material storage locations, optimizing inventory structure, etc.

[0233] (VI) Data processing unit

[0234] The data processing unit is used to process and analyze inventory data to support decision-making. Its specific implementation includes the following steps:

[0235] Data summary: Summarize and organize the collected inventory data and generate data reports.

[0236] Data analysis: Use data analysis tools to analyze inventory data and identify problems and improvement opportunities in inventory management.

[0237] Decision support: Provide decision support suggestions based on data analysis results, such as optimizing replenishment strategies, adjusting inventory structure, etc.

[0238] (VII) Inventory Alert and Decision Support Module Workflow

[0239] The workflow of the inventory warning and decision support module 5 is as follows:

[0240] 1. Alarm threshold setting: Managers set and adjust inventory quantity alarm thresholds through the system interface.

[0241] 2. Real-time inventory monitoring: The system monitors the inventory status in real time through the gravity sensing unit 6 and the data processing module 7.

[0242] 3. Alarm notification: When the quantity of materials approaches or falls below the alarm threshold, the system sends an alarm signal and notifies the warehouse manager.

[0243] 4. Intelligent forecasting: The system predicts material usage trends and demand changes based on historical data and current inventory status.

[0244] 5. Replenishment plan generation: Automatically generate replenishment plans and adjustment strategies based on forecast results and current inventory status.

[0245] 6. Data processing and analysis: The system processes and analyzes inventory data to support decision-making.

[0246] Example 7: Gravity Sensing Unit

[0247] The gravity sensing unit 6 is used to sense the weight and position of the material. Through the high-precision gravity sensor, the gravity sensing unit 6 can monitor the weight change of the material on each shelf in real time, thereby judging the placement of the material and ensuring the accuracy of the inventory data.

[0248] The working process of the gravity sensing unit 6 is as follows:

[0249] 1. Data collection: The gravity sensor collects the weight data of materials on the shelf in real time and performs preliminary processing through the data collection module.

[0250] 2. Data transmission: The preliminarily processed data is transmitted to the system configuration module through the data transmission module.

[0251] 3. Data processing: After receiving the weight data, the system configuration module further processes and analyzes the data.

[0252] 4.Weight change detection: monitor the changes in weight data in real time and calculate the weight change.

[0253] 5. Judgment of the picking and placing situation: judge the picking and placing situation of materials based on the weight change.

[0254] 6. Inventory update: The data processing module updates the material quantity and weight information in the inventory database based on the pick-and-place situation and weight change.

[0255] 7. Data synchronization: Synchronize the updated inventory data to other modules of the system to ensure data consistency.

[0256] The gravity sensing unit 6 uses a high-precision gravity sensor to monitor the weight changes of materials on the shelf in real time, judge the placement of materials, and ensure the accuracy of inventory data. Through data collection, data transmission, data processing, weight change detection, placement judgment and inventory update, intelligent, automated and efficient inventory management is achieved.

[0257] Embodiment 8: Data processing module

[0258] As a key node, the data processing module is connected to the system configuration module, material detail directory tree module, face recognition and authority verification module, automatic order generation and inventory update module, inventory alarm and decision support module and gravity sensing unit. It is responsible for configuring data processing and transmission strategies, and transmitting and receiving various data.

[0259] The above description is only a preferred embodiment of the present invention, so all equivalent changes or modifications made according to the structure, characteristics and principles described in the scope of the patent application of the present invention are included in the scope of the patent application of the present invention.

Claims

1. An unattended intelligent mobile emergency storage cabinet based on a vehicle, characterized by: The mobile emergency storage cabinet comprises: System configuration module, used to obtain and configure material information, authority verification information, order generation and inventory update parameters, alarm thresholds and decision parameters, gravity sensing device configuration, and data processing and transmission strategies; The material detail directory tree module is used to provide material information to generate orders and update inventory, and transmit and receive material information data; Face recognition and permission verification module, used for permission verification, and transmitting and receiving permission verification data; Automatically generate order and inventory update module, used to generate order and update inventory according to material information, and monitor weight changes of materials entering and leaving the warehouse; Inventory alarm and decision support module, which is used to set alarm thresholds, provide alarm and decision information, and generate replenishment plans; Gravity sensing unit, used to monitor changes in material weight and transmit and receive weight data; The data processing module is used to uniformly process and transmit data for centralized management and analysis.

2. The vehicle-based unattended intelligent mobile emergency storage cabinet according to claim 1, characterized in that: The system configuration module is connected to the material detail directory tree module to obtain and configure material information; the system configuration module is connected to the face recognition and authority verification module to configure authority verification information; The system configuration module is connected with the automatic order generation and inventory update module, the inventory alarm and decision support module, the gravity sensing unit and the data processing module, and is used to configure the order generation and inventory update parameters, the alarm threshold and decision parameters, the gravity sensing device configuration, and the data processing and transmission strategy respectively; The material detail directory tree module is connected with the automatic order generation and inventory update module to provide material information to generate orders and update inventory; The material detail directory tree module is connected with the data processing module to transmit and receive material information data; The face recognition and authority verification module is connected to the data processing module to transmit and receive authority verification data; The automatic order generation and inventory update module is connected with the inventory alarm and decision support module, the gravity sensing unit and the data processing module to receive alarm and decision information to generate replenishment plans and monitor the weight changes of materials entering and leaving the warehouse; The inventory alarm and decision support module is connected to the data processing module for transmitting and receiving alarm and decision data; The gravity sensing unit is connected to the data processing module for transmitting and receiving weight data; The data processing module is connected with all other modules and is responsible for unified processing and transmission of data for centralized management and analysis.

3. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1 or 2, characterized in that: The system configuration module further includes an energy management unit, and the energy management unit includes: Energy monitoring module, used to monitor the energy consumption data of each part of the system in real time; Energy allocation algorithm, dynamically adjusts the power allocation of each part according to energy consumption data and system operation status; The energy consumption optimization module provides energy consumption optimization suggestions based on historical energy consumption data and usage patterns.

4. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1 or 2, characterized in that: The material detailed directory tree module further includes: collecting material information and generating a directory tree including material codes, names, specifications, pictures and descriptions; classifying materials based on set classification rules using machine learning algorithms, and storing the classification results in the directory tree; optimizing the storage location and method of materials in the warehouse according to the frequency of use and characteristics of the materials.

5. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1 or 2, characterized in that: The face recognition and authority verification module includes: The image capture module is responsible for capturing the facial images of people entering the room in real time and performing preprocessing; Feature extraction module, which uses deep learning algorithms to extract feature points from captured facial images; The feature comparison module compares the extracted feature points with the authorized personnel features in the database; The permission verification module verifies permissions based on the comparison results and decides whether to allow access to the warehouse; The data update module regularly updates the facial feature database of authorized personnel.

6. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1 or 2, characterized in that: The automatic order generation and inventory update module includes: The material selection unit is used to select materials that need to be shipped out or replenished according to user needs and inventory status; The order generation unit automatically generates outbound orders or replenishment orders based on the material selection results; Inventory update unit, which updates inventory data in real time after materials are shipped out or received; Data synchronization unit ensures that all inventory data is synchronized between various modules of the system.

7. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1 or 2, characterized in that: The inventory warning and decision support module includes: An alarm threshold setting unit, used to set and manage inventory quantity alarm thresholds; Real-time inventory monitoring unit, used to monitor inventory status in real time; Intelligent forecasting unit, used to predict material usage trends and demand changes based on historical data and current inventory status; Replenishment plan generation unit, which automatically generates replenishment plans and adjustment strategies based on forecast results and current inventory status; Data processing unit, used to process and analyze inventory data and support decision assistance.

8. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1 or 2, characterized in that: The gravity sensing unit comprises: High-precision gravity sensor, used to monitor the weight changes of materials on the shelves in real time; Gravity data collection module, used to collect weight data of materials on the shelves in real time and perform preliminary processing; A gravity data transmission module, used for transmitting the data after preliminary processing to the system configuration module; The gravity data processing module is used to further process and analyze the received weight data, monitor the changes in weight data in real time, determine the placement and retrieval of materials, update the material quantity and weight information in the inventory database, and simultaneously update other modules of the system.

9. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1, characterized in that: The mobile emergency storage cabinet is connected to the mobile power supply vehicle.

10. The vehicle-mounted unattended intelligent mobile emergency storage cabinet according to claim 1, characterized in that: The mobile emergency storage cabinet is used for supplying materials for power engineering projects.

Images