Access control and security management system for cold storage

Abstract

The present invention relates to an access control and security management system for a cold storage warehouse, and more specifically, to an intelligent access control and security management system for a cold storage warehouse that precisely controls environmental factors such as temperature and humidity inside the cold storage warehouse, efficiently manages the inventory and inflow / outflow of stored goods, and improves the energy efficiency and stability of system operation.

Description

Technology Field

[0001] The present invention relates to an access control and security management system for a cold storage warehouse, and more specifically, to an intelligent access control and security management system for a cold storage warehouse that precisely controls environmental factors such as temperature and humidity inside the cold storage warehouse, efficiently manages the inventory and inflow / outflow of stored goods, and improves the energy efficiency and stability of system operation. Background Technology

[0002] Generally, cold storage warehouses are used to safely store temperature-sensitive items such as food, pharmaceuticals, and chemicals. Conventional cold storage systems primarily focus on maintaining set temperature values ​​and were often managed manually, relying on the operator's experience.

[0003] However, these existing systems have several limitations.

[0004] Simple temperature control methods make it difficult to actively respond to changes in the external environment or fluctuations in internal warehouse load, which can lead to unnecessary energy consumption.

[0005] There is a possibility of quality degradation in stored items due to insufficient precise environmental management that takes into account the types and characteristics of the goods.

[0006] Inventory management and inbound / outbound operations are performed manually or are only partially automated, which increases the possibility of human error and results in low operational efficiency.

[0007] Stable operation may be difficult due to a lack of capabilities to detect and respond to system abnormalities or potential risks in advance.

[0008] Recently, attempts have been made to improve the operational efficiency of cold storage warehouses by integrating Information and Communication Technology (ICT); however, most of these efforts are limited to specific functions, and there is still significant room for improvement in terms of organic integrated management of the entire system and intelligent optimized operation. In particular, there is a growing demand for integrated systems that optimize energy usage through real-time data analysis, predict changes in product quality, and quantitatively evaluate and improve operational efficiency. The problem to be solved

[0009] The present invention aims to solve the problems of the conventional technology described above by monitoring and precisely controlling the internal environment of a cold storage warehouse in real time to maintain the quality of stored goods optimally, while simultaneously maximizing the energy efficiency of system operation.

[0010] Another objective of the present invention is to provide a management function that automates inventory and inbound / outbound management, and enables the quantitative evaluation and improvement of operational efficiency by monitoring the warehouse operating status in real time.

[0011] Another objective of the present invention is to improve the stability and reliability of cold storage operations by detecting abnormal conditions and potential risk factors in the system in advance and responding quickly.

[0012] Another objective of the present invention is to provide a user-friendly remote interface that enables administrators to efficiently monitor and control the system regardless of time and place.

[0013] The problems of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0015] In an access control and security management system for a cold storage warehouse that monitors and controls the internal environment of the cold storage warehouse and manages stored goods according to an embodiment of the present invention for solving the above problem,

[0016] A temperature sensing unit comprising a plurality of temperature sensors for detecting the temperature inside the above-mentioned cold storage;

[0017] A refrigerant circulation unit that circulates refrigerant to maintain the temperature inside the above-mentioned cold storage at a set target temperature;

[0018] A humidity control unit that detects and controls the relative humidity inside the above-mentioned cold storage;

[0019] An inventory recognition unit that identifies items entering and leaving the above-mentioned cold storage, and an inventory management module that manages inventory based on the identified item information;

[0020] A power monitoring unit for measuring the power consumption of the above-mentioned cold storage;

[0021] A control module that integrally controls the operation of the access control and security management system of the cold storage based on data received from the temperature sensing unit, the refrigerant circulation unit, the humidity control unit, the inventory management module, and the power monitoring unit; and

[0022] A remote interface module linked with the above control module to provide system operation status information to the user and receive operation settings input from the user;

[0023] Includes,

[0024] The control module is characterized by performing a logic to calculate the predicted optimal energy consumption of the cold storage by comprehensively analyzing power consumption data received from the power monitoring unit, current warehouse internal temperature data received from the temperature sensing unit, warehouse external temperature data and target set temperature data input through the remote interface module, and item-related data received from the inventory management module, and controlling the operation of the refrigerant circulation unit based on the calculated predicted optimal energy consumption.

[0025] The above control module is,

[0026] In performing the logic for calculating the predicted optimal energy consumption amount, the first energy consumption component is determined by considering a relationship in which the predicted optimal energy consumption amount increases exponentially as the total internal volume of the cold storage increases, and as the sum of the absolute difference between the current internal average temperature of the warehouse and the target set temperature and the absolute difference between the current external temperature of the warehouse and the target set temperature increases.

[0027] The above control module is,

[0028] In performing the logic for calculating the predicted optimal energy consumption above, the relationship in which the predicted optimal energy consumption increases as the total number of items currently stored in the cold storage increases and as the average temperature and humidity sensitivity of the stored items increases is considered, and the second energy consumption component is determined by reflecting the relationship in which the predicted optimal energy consumption increases logarithmically as the frequency of opening and closing of the cold storage door per unit time increases.

[0029] The method is characterized by summing the first energy consumption component and the second energy consumption component, and adding a value corresponding to the system's basic fixed energy consumption to calculate the final predicted optimal energy consumption.

[0030] The above system is,

[0031] A condition monitoring unit comprising a plurality of sensors for detecting abnormalities in the main power supply or internal equipment of the above-mentioned cold storage; and

[0032] An alarm processing module that, upon receiving information on the occurrence of an abnormal state from the above-mentioned state monitoring unit, or upon receiving information from the above-mentioned control module that a specific operating condition is determined to exceed a preset risk threshold, generates an alarm according to a preset alarm generation rule and notifies a relevant person in charge;

[0033] Includes more,

[0034] The above remote interface module is,

[0035] Setting means for receiving from a user target temperature and allowable temperature deviation, target relative humidity and allowable humidity deviation as environmental target values ​​of the above-mentioned cold storage;

[0036] A setting means for receiving input from a user regarding whether to activate the maximum load distribution logic as an energy management policy, the corresponding time period, and the load priority of the power demand response logic; and

[0037] A setting means for receiving input from a user regarding item-specific safety stock levels and expiration date management threshold periods as inventory management policies;

[0038] Characterized by including at least one of the above, the control module is operated based on the input settings, and

[0039] The above control module is,

[0040] It may be characterized by integrally performing the function of an energy management module that performs a maximum load distribution logic by comparing and analyzing the calculated predicted optimal energy consumption with preset time-based electricity rate information, concentrating the operation of the refrigeration cycle of the refrigerant circulation unit during time periods when electricity rates are relatively low to store cold air inside the cold storage, and utilizing the stored cold air during peak time periods when electricity rates are high to minimize the operation of the compressor of the refrigerant circulation unit, or by transmitting a control signal according to the maximum load distribution logic to the refrigerant circulation unit in conjunction with the energy management module. Effects of the invention

[0042] The access control and security management system for a cold storage warehouse according to the present invention can provide the following effects.

[0043] By precisely controlling the temperature and humidity inside the cold storage based on real-time sensor data and the characteristics of the stored items, the freshness and quality of the items can be maintained in an optimal state for a long period, thereby significantly reducing the loss of value and the waste rate of the items.

[0044] By optimizing the operation of chillers and efficiently establishing energy usage plans through a logic that calculates optimal predicted energy consumption by comprehensively analyzing real-time power consumption, internal and external warehouse environmental conditions, and time-of-day electricity rates, it is possible to reduce unnecessary energy waste and lower operating costs compared to existing systems.

[0045] Through an RFID or barcode-based automatic inventory recognition and management system, the status of inflow and outflow of goods, inventory quantities, and storage locations can be accurately identified in real time, and the efficiency and accuracy of inventory management can be significantly improved by facilitating First-In, First-Out (FIFO) management and expiration date management.

[0046] Security can be enhanced through an access control system that allows only authorized personnel to enter and records and manages all entry history, and by rapidly detecting abnormal conditions and potential risks (e.g., power outage, equipment failure, refrigerant leak, fire) in the system through various sensors, generating alarms, and activating backup systems, the stability and reliability of system operations can be ensured and damage caused by unexpected accidents can be minimized.

[0047] Through a user-friendly remote interface, administrators can intuitively monitor the real-time operational status of the system, change key settings, and take necessary actions anytime and anywhere, thereby increasing management convenience and supporting rapid decision-making.

[0048] By quantitatively evaluating operational efficiency across various aspects—such as workforce management, space utilization, and product marketability and turnover characteristics—through warehouse operational efficiency evaluation logic, and by identifying areas for improvement, it induces continuous operational optimization and enables rational, data-driven decision-making.

[0049] In conclusion, the present invention can contribute to improving the level of product quality management, reducing operating costs, and maximizing system stability and management efficiency through the automation, intelligence, and optimization of the access control and security management system of a cold storage warehouse.

[0050] The effects according to the present invention are not limited to those exemplified above, and a wider variety of effects are included within the present invention. Brief explanation of the drawing

[0052] FIG. 1 illustrates a schematic layout of a system according to the present invention. Figure 2 illustrates an overall relationship diagram according to the present invention. FIG. 3 schematically illustrates a step-by-step flowchart according to the present invention. Specific details for implementing the invention

[0053] Hereinafter, various embodiments are described in more detail with reference to the attached drawings. The embodiments described in this specification may be modified in various ways. Specific embodiments may be depicted in the drawings and described in detail in the detailed description. However, specific embodiments disclosed in the attached drawings are intended only to facilitate understanding of various embodiments. Accordingly, the technical concept is not limited by specific embodiments disclosed in the attached drawings, and it should be understood that it includes all equivalents or substitutions that fall within the spirit and scope of the invention.

[0054] Terms including ordinal numbers, such as first, second, etc., may be used to describe various components, but these components are not limited by the aforementioned terms. The aforementioned terms are used solely for the purpose of distinguishing one component from another.

[0055] Functions related to artificial intelligence according to the present disclosure are operated through a processor and memory. The processor may be composed of one or more processors. In this case, the one or more processors may be general-purpose processors such as CPUs, APs, and DSPs (Digital Signal Processors), graphics-dedicated processors such as GPUs and VPUs (Vision Processing Units), or artificial intelligence-dedicated processors such as NPUs. The one or more processors control the processing of input data according to predefined operation rules or artificial intelligence models stored in memory. Alternatively, if the one or more processors are artificial intelligence-dedicated processors, the artificial intelligence-dedicated processors may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0056] The predefined operating rules or artificial intelligence models are characterized by being created through learning. Here, being created through learning means that a predefined operating rules or artificial intelligence models configured to perform a desired characteristic (or objective) are created by a basic artificial intelligence model being trained using a number of training data by a learning algorithm. Such learning may be performed on the device itself where the artificial intelligence according to the present disclosure is executed, or it may be performed through a separate server and / or system. Examples of learning algorithms include supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the examples described above.

[0057] An artificial intelligence model can be composed of multiple neural network layers. Each of the multiple neural network layers has multiple nodes and weight values, and performs neural network operations through calculations between the results of previous layers and the multiple weights. The multiple weights possessed by the multiple neural network layers can be optimized based on the learning results of the artificial intelligence model. For example, multiple weights can be updated so that the loss value or cost value obtained by the artificial intelligence model during the learning process is reduced or minimized. Additionally, to minimize the loss value or cost value, multiple weights can be updated in a direction that minimizes the gradient associated with the loss value or cost value. Artificial neural networks may include deep neural networks (DNNs), such as Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Recurrent Neural Networks (RNNs), Restricted Boltzmann Machines (RBMs), Deep Belief Networks (DBNs), Bidirectional Recurrent Deep Neural Networks (BRDNNs), or Deep Q-Networks, but are not limited to the examples mentioned above.

[0058] A network is a network that serves as a transmission path for web pages; it may be a closed network such as a LAN (Local Area Network) or WAN (Wide Area Network), but it is desirable for it to be an open network such as the Internet. The Internet refers to a global open computer network structure that provides the TCP / IP protocol and various services existing at its upper layers, namely HTTP (HyperText Transfer Protocol), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), SNMP (Simple Network Management Protocol), NFS (Network File Service), and NIS (Network Information Service).

[0059] Terminals can be implemented in various forms. For example, the terminals described in this specification may include mobile terminals such as smartphones, tablet PCs, PDAs, portable multimedia players, and MP3 players, as well as fixed terminals such as smart TVs and desktop computers.

[0060] In this specification, terms such as “comprising” or “having” are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. When a component is described as being “connected” or “connected” to another component, it should be understood that it may be directly connected to or connected to that other component, or that there may be other components in between. On the other hand, when a component is described as being “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

[0061] Meanwhile, a "module" or "part" for a component as used in this specification performs at least one function or operation. Furthermore, a "module" or "part" may perform a function or operation by hardware, software, or a combination of hardware and software. Additionally, a plurality of "modules" or a plurality of "parts," excluding a "module" or "part" that must be performed on specific hardware or on at least one processor, may be integrated into at least one module. A singular expression includes a plural expression unless the context clearly indicates otherwise.

[0062] In addition, power, power transmission, and control therefor for the following assembly configurations and embodiments, including "by control," follow conventional technology including terminals, applications, hardware control modules, etc., so they are omitted to avoid redundancy.

[0063] In addition, the operation embodiments and configurations described in a general manner without being explained in detail below follow the prior art and are omitted in order to focus on describing the purpose of the present invention and the resulting effects.

[0064] Furthermore, in describing the present invention, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the essence of the invention, such detailed description is abbreviated or omitted.

[0065] FIG. 1 is a block diagram schematically illustrating the overall configuration of an access control and security management system (10) for a cold storage warehouse according to one embodiment of the present invention.

[0066] Referring to FIG. 1, an access control and security management system (10) for a cold storage warehouse according to one embodiment of the present invention may include various components for precisely controlling the internal environment of the cold storage warehouse (100), efficiently managing stored goods, and ensuring the stability of system operation. Specifically, the access control and security management system (10) for a cold storage warehouse may include a refrigerant circulation unit (200), a temperature sensing unit (210), and a humidity control unit (220) for environmental control. In addition, it may include an inventory recognition unit (300), an inventory management module (310), an access control unit (320), and an access management module (330) for managing goods and operations. Furthermore, it may include a power monitoring unit (400), an energy management module (410), a status monitoring unit (420), a backup power unit (430), and an alarm processing module (440) for enhancing system stability and efficiency. And it may include a control module (500) and a remote interface module (510) for integrally controlling these components and providing a user interface.

[0067] Below, each component is explained in more detail.

[0068] The refrigerant circulation unit (200) is a hardware configuration that maintains the temperature inside the low-temperature warehouse (100) within a set target range. The refrigerant circulation unit (200) includes a compressor that compresses the refrigerant, a condenser that condenses the compressed high-temperature, high-pressure refrigerant, an expansion valve that expands the condensed refrigerant to create a low-temperature, low-pressure state, an evaporator that absorbs heat inside the warehouse as the low-temperature, low-pressure refrigerant evaporates, and a refrigerant piping system connecting them. According to a control signal from the control module (500), if, for example, the current temperature inside the warehouse is identified as being higher than the target temperature by a first temperature control upper limit threshold, for example 0.5°C, the operating rate of the compressor is increased or the refrigerant flow rate is increased to increase the cooling capacity. Conversely, if the current temperature is identified as being lower than the target temperature by a first temperature control lower limit threshold, for example 0.5°C, the operating rate is lowered or temporarily stopped to prevent overcooling. Through this, the refrigerant circulation unit (200) is characterized by continuously maintaining the internal temperature of the warehouse within an error range of ±1℃ based on, for example, minus 18℃ set as the target temperature value.

[0069] The temperature sensing unit (210) is a hardware configuration that measures the temperature in real time at multiple points or zones to determine the spatial temperature distribution inside the cold storage (100). The temperature sensing unit (210) may include multiple high-precision temperature sensors, for example, resistance temperature detectors (RTDs) or thermistors that utilize changes in resistance values ​​according to temperature changes. These temperature sensors are strategically placed considering the air circulation characteristics inside the warehouse and potential locations for heat source generation (e.g., near entrances, near lights). Each temperature sensor transmits the measured temperature data to the control module (500) at preset cycles, such as every minute, or whenever the difference between the currently measured temperature and the immediately preceding temperature is identified as exceeding a first temperature change threshold, for example, 0.5°C. The control module (500) comprehensively analyzes the received multiple temperature data to determine the average temperature of the entire warehouse and local temperature deviations in specific zones, and utilizes this for precise control of the refrigerant circulation unit (200) and determination of abnormal conditions.

[0070] The humidity control unit (220) is a hardware and control logic configuration for maintaining the relative humidity inside the cold storage warehouse (100) at a constant level within a set range suitable for the characteristics of the stored goods, for example, 85% to 90% when storing meat, or 90% to 95% when storing fruits and vegetables. The humidity control unit (220) may include an industrial dehumidification device for removing moisture inside the warehouse, a humidification device for supplying humidity if necessary, and a plurality of humidity sensors for measuring the current relative humidity inside the warehouse in real time. The control module (500) compares the current humidity value received from the humidity sensors with a preset target humidity range and, for example, instructs the dehumidification device to operate if the current humidity is identified as exceeding the target upper humidity limit by a first humidity control threshold, for example, 2%, and instructs the humidification device to operate if it is identified as being lower than the target lower humidity limit by a first humidity control threshold, for example, 2%. Through this, the humidity control unit (220) is characterized by managing the preset target humidity range within an error range of, for example, ±5%.

[0071] The inventory recognition unit (300) is a hardware configuration for automatically identifying goods entering or leaving the cold storage warehouse (100), or goods moving within the warehouse, in order to obtain goods information. The inventory recognition unit (300) may include, for example, a plurality of RFID readers and antennas that read radio frequency identification (RFID) tags attached to goods or pallets loaded with goods. Alternatively, it may include a plurality of fixed or portable barcode scanners that scan barcodes printed on goods packaging or labels. The RFID readers or barcode scanners are installed at the warehouse's entry / exit gates, main movement paths, or specific storage areas to detect the movement of goods and obtain identification information. The unique identification ID of the acquired goods, entry / exit time, pass-through gate information, etc., are transmitted in real time to the inventory management module (310) and used for tracking goods and managing inventory status.

[0072] The inventory management module (310) is a software configuration that systematically records and manages the inflow and outflow history, current inventory quantity, storage location, storage period, etc. of all items in the cold storage warehouse (100) based on real-time item identification data received from the inventory recognition unit (300) and basic item information (e.g., item name, specifications, expiration date, storage conditions, etc.) entered by the user. The inventory management module (310) is linked with a database system to store information and provides search and report generation functions based on various conditions. For example, if the current inventory quantity of a specific item is identified as decreasing to a preset first inventory management threshold, for example, 100 or less defined as the safety stock quantity, the inventory management module (310) automatically sends a reorder notification to the manager. In addition, if the storage period of the stored item is identified as reaching a second inventory management threshold relative to the expiration date of the item, for example, one month before the expiration date, it creates a list of the item and supports designating it for first-in, first-out management or special management.

[0073] The access control unit (320) is a hardware configuration designed to enhance security by allowing only authorized personnel and equipment access to the cold storage warehouse (100) and managing records of all access attempts and occurrences. The access control unit (320) may include an electronic lock installed on the warehouse door, various authentication means to verify access authorization, such as an RFID card reader, a biometric sensor that recognizes biometric information such as fingerprints or irises, or a password input pad. Additionally, it may include CCTV cameras to monitor and record the situation at the entrance and key points inside the warehouse in real time. When an authorized user enters through a normal authentication procedure, the time of entry, user information, etc., are transmitted to the access management module (330). If an unauthorized access attempt is detected or an attempt at forced opening occurs, an alarm is immediately triggered and the relevant information is transmitted to the access management module (330).

[0074] The access control module (330) is a software configuration that systematically records and manages access history and performs security-related functions by analyzing authentication attempt information, access occurrence information, and CCTV video data received from the access control unit (320). The access control module (330) stores access information, access time, access gate, and dwell time in a database and can generate an access statistics report for a specific period. For example, if an access attempt using the same unauthorized RFID card occurs at a first access control threshold, for example, three or more consecutive times, or if unauthorized access by a user to a specific control area (e.g., a high-value storage area) is detected via CCTV video, the access control module (330) is characterized by immediately generating a warning through the alarm processing module (440) and notifying the security officer in the form of a text message or a mobile app push notification.

[0075] The power monitoring unit (400) is a hardware configuration that measures and monitors in real time the total power consumption of the access control and security management system (10) of the cold storage warehouse and the individual power consumption of major power consuming equipment, such as the compressor of the refrigerant circulation unit (200), the dehumidification / humidification device of the humidity control unit (220), and lighting equipment. The power monitoring unit (400) may include, for example, a smart power meter installed at the main power input of the warehouse or a multi-channel power analyzer connected to the power supply line of each major equipment. These devices measure various power-related data such as voltage, current, power factor, active power, reactive power, and accumulated power. The measured power data is transmitted to the energy management module (410) and the control module (500), for example, every 1-minute cycle or whenever the rate of change of power consumption is identified as exceeding a first power monitoring threshold, for example, 10% compared to the previous measurement. The energy management module (410) utilizes this data to analyze power consumption patterns by time period and identify opportunities for energy saving, and the control module (500) uses it to detect abnormal power consumption patterns of specific equipment to predict the possibility of equipment failure or to generate preventive maintenance alerts.

[0076] The energy management module (410) is a software configuration that establishes and executes an operation strategy to improve the energy consumption efficiency of the access control and security management system (10) of a cold storage warehouse by comprehensively analyzing real-time power usage data received from the power monitoring unit (400), internal temperature and humidity data and external weather condition data (e.g., external temperature forecast) received from the control module (500), and time-based power rate information provided by the power supplier. The energy management module (410) can perform a maximum load distribution logic, for example, by identifying late-night or weekend hours when power rates are relatively low, intensively operating the refrigeration cycle of the refrigerant circulation unit (200) during those hours to accumulate cold air inside the warehouse in a supercooled form, and utilizing the accumulated cold air during peak hours when daytime power rates are high to minimize compressor operation. In addition, if there is a risk that the expected maximum power demand will exceed the system's contracted power, power demand response logic can be executed to selectively cut off some non-essential loads (e.g., control of lighting intensity in specific zones, temporary shutdown of dehumidification devices) or lower the operating rate according to a pre-set priority. The energy management module (410) continuously monitors the effectiveness of these operation strategies and includes a function to perform a cause analysis and present improvement measures to the manager if, for example, it is determined that the actual energy consumption efficiency has decreased by more than 10% compared to the first energy management target value, for example, the target efficiency.

[0077] The status monitoring unit (420) is a configuration of various sensor networks and related interface hardware for detecting in real time whether the main components of the access control and security management system (10) of the cold storage warehouse are operating normally and potential risk factors in the operating environment. The status monitoring unit (420) may include, for example, a voltage / current sensor that detects voltage and current abnormalities (e.g., overvoltage, undervoltage, power outage) of the main power supplied to the cold storage warehouse (100), a refrigerant gas sensor that detects refrigerant leakage in the refrigerant piping of the refrigerant circulation unit (200), a vibration sensor and a noise sensor that detect excessive vibration or noise generation of rotating equipment such as a compressor or fan motor, and a smoke detection sensor or a heat detection sensor that detects the possibility of fire occurring inside the warehouse at an early stage. When a measurement value detected by each sensor is identified as exceeding a first state monitoring threshold, such as a refrigerant leak concentration of 100 ppm, which indicates a dangerous situation or a preset normal range, the sensor immediately transmits abnormal state occurrence information (e.g., sensor ID, detection value, time of occurrence) to the control module (500) and the alarm processing module (440).

[0078] The backup power unit (430) is a hardware configuration that supplies backup power to enable the core functions of the system, at least some functions of the refrigerant circulation unit (200) (e.g., low-power operation for maintaining a minimum temperature), data logging functions, and alarm systems to operate continuously for a certain period of time in the event that the main power supplied to the cold storage (100) is unexpectedly interrupted (e.g., power outage, power equipment failure). The backup power unit (430) may include, for example, an uninterruptible power supply (UPS) composed of a large-capacity battery bank and an inverter, or an emergency generator that is automatically started when the main power is interrupted by being linked with an automatic transfer switch (ATS). When the voltage / current sensor of the status monitoring unit (420) detects the interruption of the main power supply, the system switches to automatically supply power from the backup power unit (430) within a very short time, for example, within 0.5 seconds. The capacity of the backup power unit (430) is determined by the importance of the system and the required backup time, and may be designed to maintain core functions for, for example, at least 1 hour.

[0079] The alarm processing module (440) is a software configuration that comprehensively analyzes various risk or caution situation information received from other modules within the system, such as various sensor abnormal signals received from the status monitoring unit (420), stock shortage notifications from the inventory management module (310), and unauthorized access attempt notifications from the access control module (330), generates appropriate alarms according to preset alarm generation rules and severity levels, and notifies relevant personnel. The alarm processing module (440) can generate physical alarms, for example, by activating a warning sound generating device (such as a siren, not shown) installed inside the warehouse or by flashing a warning light. At the same time, it can display a pop-up notification on the manager's PC or mobile device via the remote interface module (510), or send alarm content to pre-registered personnel in the form of text messages (SMS), emails, or push notifications via a dedicated mobile application. The alarm trigger rule can be set to issue the highest level alarm and immediately notify both the system administrator and maintenance personnel when, for example, the internal temperature of the warehouse is identified as exceeding a first risk threshold, for example, a target upper limit temperature of 2°C, and the first risk duration, for example, 30 minutes or more.

[0080] The control module (500) is a central processing software configuration that receives various sensor data, status information, analysis results, etc. from all the hardware units (e.g., refrigerant circulation unit, temperature sensing unit, etc.) and software modules (e.g., inventory management module, energy management module, etc.), and integrally controls and coordinates the operation of each component according to the overall operating logic of the system and user settings. The control module (500) can generally be implemented based on a Programmable Logic Controller (PLC) or an industrial computer having high reliability and real-time processing capabilities. The control module (500) periodically logs data collected from each sensor, calculates key operating parameters of the system (e.g., average temperature, average humidity, energy consumption, inventory turnover rate, etc.), and provides them to the remote interface module (510). In addition, it performs a self-diagnosis function of the system to check the operating status of each component, and in the event of an abnormality, takes appropriate measures in conjunction with the alarm processing module (440) or reports to the manager. For example, the control module (500) comprehensively considers the result of the prediction optimal energy consumption calculation logic and the result of the product quality degradation risk assessment logic to determine the optimal operating mode that can safely store the quality of the product while maintaining energy efficiency, and controls each unit.

[0081] The remote interface module (510) is a software configuration that provides a user interface, which allows an authorized manager to monitor the current operating status of the access control and security management system (10) of a cold storage warehouse in real time via a wired or wireless network (e.g., Internet, Ethernet, Wi-Fi) regardless of time and place, and to remotely change key operating settings or control specific functions if necessary. The remote interface module (510) may be provided, for example, in the form of a web-based dashboard accessible via a web browser, or in the form of a dedicated mobile application running on a smartphone or tablet PC. Alternatively, it may include a SCADA (Supervisory Control And Data Acquisition) system integration interface for linking with existing factory automation systems. The remote interface module (510) visualizes and provides various operating data (e.g., current temperature / humidity distribution, energy consumption trends, inventory status, access records, alarm history, etc.) in the form of graphs, charts, tables, etc., and provides the ability to generate and download customized reports according to the user's needs. The manager can, for example, change the target temperature and humidity settings of the warehouse, issue manual operation commands for specific equipment, or input the history of confirmation and action regarding alarms received from the alarm processing module (440) through the remote interface module (510). All remote communication and data access are characterized by ensuring the security of the system by applying, for example, user account and password-based authentication procedures and Transport Layer Security (TLS) encryption protocols. In addition, the results of the warehouse operation efficiency evaluation logic can be visually provided to help the manager intuitively understand the operational status and identify areas for improvement.

[0082] The access control and security management system (10) of the cold storage of the present invention calculates operational indicators and controls the system by utilizing various logics for efficient and stable operation.

[0083] The logic for calculating the predicted optimal energy consumption is performed in the energy management module (410) and determines the optimal energy consumption predicted to be consumed per unit time under current and expected warehouse operating conditions.

[0084] First, to calculate the energy consumption resulting from the basic thermal load, the energy management module determines a first energy consumption component by considering a relationship in which energy consumption increases exponentially—that is, very rapidly as the temperature difference increases—as the total internal volume of the warehouse increases, and as the sum of the absolute difference between the current internal average temperature and the warehouse's target temperature and the absolute difference between the current external temperature and the warehouse's target temperature (wherein the influence of the external temperature difference may be reflected at a certain ratio, for example, half the level, compared to the influence of the internal temperature difference). At this time, the sensitivity of the exponential increase relationship can be controlled by a pre-set first energy sensitivity coefficient that considers the system's insulation performance, etc.

[0085] Next, to calculate additional energy consumption resulting from item storage and operation activities, the energy management module considers a relationship in which energy consumption increases as the total number of items currently stored in the warehouse increases and as the average temperature and humidity sensitivity of the stored items increases (wherein the higher the sensitivity, the greater the impact can be reflected in proportion to the square, and even in the case of no sensitivity, the basic impact is considered). Additionally, a second energy consumption component is determined by reflecting a logarithmic relationship in which energy loss increases as the frequency of opening and closing the warehouse door per unit time increases, but the rate of increase gradually slows down once the frequency of opening and closing the door exceeds a certain level. At this time, the relative importance of each element to the total energy consumption is controlled by a pre-set first item load weight and first operation load weight.

[0086] Finally, the energy management module sums the calculated first energy consumption component and the second energy consumption component, and adds a value corresponding to the basic fixed energy consumption consumed by the system's lighting or control equipment itself to calculate the predicted optimal energy consumption per unit time.

[0087] These predicted optimal energy consumption values ​​can be used to generate specific energy management operational guidelines, such as, for example, "Between 10 a.m. and 12 p.m. the next day, the outside temperature is expected to be 32 degrees, and since the warehouse door is expected to open 10 times per hour due to bulk receiving operations, the predicted energy consumption for that time period is calculated to be 20 percent higher than the current time period. Therefore, the daytime peak load is reduced by conducting pre-cooling by increasing the output of the chiller by 10 percent during the late-night hours from 11 p.m. to 6 a.m., when electricity rates are low."

[0088] The logic for assessing the risk of product quality degradation can be performed in the control module (500), and quantitatively evaluates the potential risk level that the current temperature and humidity environment of the warehouse may have on the quality of the stored product.

[0089] First, to calculate the risk caused by temperature and humidity environmental deviations, the control module calculates the value obtained by dividing the degree to which the current average temperature inside the warehouse deviates from the warehouse's target temperature by a preset standard allowable temperature deviation (e.g., 1 degree) and the value obtained by dividing the degree to which the current average relative humidity inside the warehouse deviates from the warehouse's target relative humidity by a preset standard allowable humidity deviation (e.g., 5 percent). Subsequently, the squared values ​​of the temperature deviation ratio and the humidity deviation ratio calculated in this way are summed, and the result is multiplied by a first quality risk weight to determine the first risk component. This is intended to reflect the relationship in which the risk of quality degradation increases much more rapidly as the deviation of temperature or humidity exceeds the standard value.

[0090] Next, to reflect the aggravated risk in cases where temperature and humidity deviations occur simultaneously, the control module determines a second risk component by multiplying the product of the absolute value of the calculated temperature deviation ratio and the absolute value of the humidity deviation ratio by a second quality risk weight. This reflects the phenomenon where the risk increases further when adverse temperature and humidity conditions occur in combination on the product, such as when it is both high temperature and high humidity.

[0091] Subsequently, the control module multiplies the sum of the calculated first risk component and second risk component by a weight based on the average temperature and humidity sensitivity index of the stored goods (wherein the higher the sensitivity, the greater the impact may be reflected in proportion to the square, and even in the case of no sensitivity, the basic impact is considered). Finally, the value calculated in this way is multiplied by a weight that reflects a logarithmic relationship in which the potential scale of quality degradation increases as the total number of goods currently stored in the warehouse increases, but the rate of increase gradually slows down, thereby calculating the final product quality degradation risk index.

[0092] Depending on the magnitude of the calculated product quality degradation risk index, for example, if the index exceeds the second quality control threshold of the preset 'Caution' level (e.g., index value 0.8), a 'Caution' alert is issued to the manager, and if it exceeds the third quality control threshold of the preset 'Warning' level (e.g., index value 1.5), a 'Warning' alert is issued. When a risk of the 'Warning' level is detected, automatic response measures can be performed along with a detailed notification, for example, "The risk index for the storage environment of 'fresh strawberries' in Zone 3 is 1.7, which is at the 'Warning' level. The current temperature is 5.5 degrees (target 2 degrees), and the humidity is 75 percent (target 90 percent). Increase the output of the cooler by 20 percent and operate the humidifier. Please urgently check the condition of the products in the area."

[0093] The warehouse operation efficiency evaluation logic can be performed in the control module (500), and quantitatively evaluates the overall efficiency of the warehouse operation by comprehensively considering various factors such as manpower management, space utilization, marketability and turnover characteristics of goods.

[0094] First, the control module calculates a first efficiency component related to manpower and physical load. This is calculated by dividing the number of authorized personnel recommended for the corresponding time period or task (a value obtained by adding the default value) by the sum of the frequency of opening and closing warehouse doors per unit time (a value obtained by adding the default value) and the density of current items in the warehouse (i.e., a value obtained by dividing the total number of items by the warehouse volume and multiplying it by a specific coefficient). This value tends to increase as the recommended personnel are appropriately deployed and the load caused by the frequency of opening and closing doors or item density decreases.

[0095] Next, the control module calculates a second efficiency component related to space utilization. This is calculated by multiplying the square of the difference between the current item density in the warehouse and a preset target item density by a preset reference item density, and then using this value as the input to an exponential function. This method reflects a relationship in which efficiency decreases rapidly in the form of an ideal bell-shaped curve as the current item density deviates from the target density (i.e., as it becomes too low or too high).

[0096] Subsequently, the control module combines (e.g., multiplies) the previously calculated first and second efficiency components and applies a correction factor reflecting the value fluctuations and turnover characteristics of the goods to determine the final warehouse operational efficiency index. This correction factor considers the following two elements. First, it adds the value obtained by multiplying the average event index per stored item (e.g., positive situations where a price increase is expected as a specific fruit enters season are expressed as positive numbers, while negative situations where a sharp drop in demand is expected are expressed as negative numbers) by the first event weight. Second, it adds the value obtained by multiplying the difference between the average turnover index per stored item (i.e., an index indicating how quickly goods are distributed) and the pre-set standard item turnover index by the second turnover weight. Therefore, the operational efficiency index is adjusted upward when positive market conditions are expected or when goods turnover is fast, and downward in the opposite case.

[0097] The calculated warehouse operation efficiency index can be expressed as a value between 0 and 1, for example, and can be visually provided on the dashboard of the remote interface module (510). If this index consistently appears low, below a preset first operation efficiency threshold (e.g., 0.7), the system can analyze the cause of the inefficiency and present specific improvement measures to the manager, for example, "The current warehouse operation efficiency index is 0.65, which is below the target (0.8). The main cause is analyzed to be that the item density is currently 15 boxes per cubic meter, which is excessive compared to the target of 10 boxes per cubic meter, resulting in insufficient workspace and inefficient movement. In the short term, we recommend rearranging items to secure aisles, and in the long term, it is necessary to review adjusting the incoming volume or securing additional storage space."

[0098] Although preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above. Various modifications are possible by those skilled in the art without departing from the essence of the invention as claimed in the claims, and such modifications should not be understood individually from the technical spirit or perspective of the present invention. Explanation of the symbols

[0099] Storage system (10) Cold storage (100) Refrigerant circulation unit (200) Temperature sensing unit (210) Humidity control unit (220) Inventory recognition unit (300) Inventory management module (310) Access control unit (320) Access control module (330) Power monitoring unit (400) Energy management module (410) Status monitoring unit (420) Backup power unit (430) Alarm processing module (440) control module (500) remote interface module (510)

Claims

Claim 1 An access control and security management system for a cold storage warehouse that controls access to and manages access history, comprising: an access control unit equipped at the entrance door of the cold storage warehouse, which verifies whether access is authorized using an electronic lock and a user authentication means, generates access occurrence information including the time of entry and user information when a normal authentication procedure is completed, and generates relevant information when an unauthorized access attempt or a forced opening attempt occurs; an access management module that records access history by analyzing authentication attempt information received from the access control unit, the access occurrence information, and closed-circuit television video data regarding the entrance or key points inside the cold storage warehouse, determines whether unauthorized access has occurred, and generates a warning and notifies a security officer when unauthorized access is determined; a temperature sensing unit including a plurality of temperature sensors that detect the temperature inside the cold storage warehouse; a refrigerant circulation unit that circulates a refrigerant to maintain the temperature inside the cold storage warehouse at a set target temperature; a humidity control unit that detects and controls the relative humidity inside the cold storage warehouse; an inventory recognition unit that identifies goods entering and leaving the cold storage warehouse, and an inventory management unit that manages inventory based on the identified goods information. Module; a power monitoring unit that measures the power consumption of the cold storage; a control module that integrally controls the operation of the access control and security management system of the cold storage based on data received from the temperature sensing unit, the refrigerant circulation unit, the humidity control unit, the inventory management module, and the power monitoring unit; and a remote interface module that is linked with the control module to provide system operation status information to the user and receive operation settings from the user;The control module includes power consumption data received from the power monitoring unit, current warehouse internal temperature data received from the temperature sensing unit, warehouse external temperature data and target set temperature data input through the remote interface module, and item-related data received from the inventory management module to perform a logic for calculating the predicted optimal energy consumption of the cold storage warehouse, and controls the operation of the refrigerant circulation unit based on the calculated predicted optimal energy consumption. In performing the logic for calculating the predicted optimal energy consumption, the control module determines a first energy consumption component by considering a relationship in which the predicted optimal energy consumption increases exponentially as the total internal volume of the cold storage warehouse increases, and as the sum of the absolute difference between the current warehouse internal average temperature and the target set temperature and the absolute difference between the warehouse external current temperature and the target set temperature increases. In performing the logic for calculating the predicted optimal energy consumption, the control module determines the predicted optimal energy consumption as the total number of items currently stored in the cold storage warehouse increases, and as the average temperature and humidity sensitivity of the stored items increases. An access control and security management system for a cold storage warehouse, characterized by determining a second energy consumption component by considering the relationship and reflecting the relationship in which the predicted optimal energy consumption increases logarithmically as the frequency of opening and closing of the cold storage door per unit time increases, and the control module summing the first energy consumption component and the second energy consumption component and adding a value corresponding to the system's basic fixed energy consumption to calculate the final predicted optimal energy consumption. Claim 2 A cold storage access control and security management system according to claim 1, wherein the remote interface module includes a setting means for receiving input from a user regarding whether to activate the maximum load distribution logic as an energy management policy, the corresponding time period, and the load priority of the power demand response logic, and the control module performs a maximum load distribution logic by comparing and analyzing the calculated predicted optimal energy consumption and preset time-based power rate information, concentrating the operation of the refrigeration cycle of the refrigerant circulation unit during time periods when power rates are relatively low to store cold air inside the cold storage, and utilizing the stored cold air during peak time periods when power rates are high to minimize the operation of the compressor of the refrigerant circulation unit.

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