Cloud platform-based disinfection cabinet cluster management method and system

Abstract

This invention relates to the field of data processing technology and proposes a cloud-based method and system for managing disinfection cabinet clusters. The method includes: connecting disinfection cabinet devices to a cloud management platform to form a disinfection cabinet cluster, establishing a two-way stable data interaction channel, and generating online access results; assigning a unique device identifier to each disinfection cabinet device in the cloud management platform to obtain a standardized device file; collecting operational status parameters of each disinfection cabinet device based on the unique device identifier to obtain a real-time operational dataset; conducting a risk assessment on the real-time operational dataset to obtain a quantitative value of the health status of each disinfection cabinet device, and performing multi-dimensional analysis to obtain differentiated control instructions adapted to each disinfection cabinet device; and issuing the differentiated control instructions to the corresponding disinfection cabinet devices to execute the instructions, completing unified scheduling and dynamic status control, achieving efficient cluster management, and improving equipment operation safety and management automation.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method and system for cluster management of disinfection cabinets based on a cloud platform. Background Technology

[0002] With the increasing demand for disinfection in public spaces, the catering industry, and medical facilities, the number of disinfection cabinets deployed and the coverage areas are constantly expanding. Multiple dispersed disinfection cabinets are gradually forming large-scale equipment clusters, and the traditional single-unit independent management method can no longer meet the unified management needs of a large number of devices. Most existing disinfection cabinets adopt a local independent control mode, relying on manual on-site inspection and recording of equipment operation status. This makes it impossible to achieve centralized aggregation and synchronous monitoring of operating information from multiple devices, resulting in low equipment management efficiency. Furthermore, the dispersed deployment of disinfection cabinets lacks unified identification and standardized information management, leading to chaotic equipment access and management processes, and making problems such as unauthorized device access, lost equipment information, and management confusion easily arise.

[0003] Existing management methods are unable to identify risks and determine health status based on the real-time operating conditions of different devices. They struggle to generate adaptive management strategies based on actual equipment operation, often employing a uniform and fixed approach that fails to achieve differentiated and refined equipment scheduling and status control. Furthermore, the collection of equipment operating parameters lacks targeted and standardized processes, data transmission stability and real-time performance are poor, and there is a lack of stable and reliable data interaction channels between the cloud platform and terminal devices. The command issuance and execution feedback processes are not smooth, hindering unified scheduling and dynamic status control of disinfection cabinet clusters. Overall, management costs are high, and the safety of equipment operation and the quality of disinfection services cannot be consistently guaranteed. Summary of the Invention

[0004] This invention provides a cloud-based method and system for managing clusters of disinfection cabinets to solve the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides a cloud-based disinfection cabinet cluster management method, comprising: B1: Disinfection cabinet devices distributed in different application scenarios are connected to the cloud management platform through a preset communication link to form a disinfection cabinet cluster. A two-way stable data interaction channel is established between the disinfection cabinet cluster and the cloud management platform to generate the online access result of the disinfection cabinet cluster. B2: In the cloud management platform, the identity and legality of each disinfection cabinet device in the online access results are verified and the basic information of the device is registered. A unique device identifier is assigned to the disinfection cabinet device that passes the verification, so as to obtain the standardized device file of the disinfection cabinet cluster. B3: Based on the unique equipment identifier in the standardized equipment file, perform targeted real-time collection and classification of the operating status parameters of each disinfection cabinet device to obtain the real-time operating dataset of the disinfection cabinet cluster; B4: Perform a risk assessment on the real-time running dataset to obtain a quantitative health status value for each disinfection cabinet device. Based on preset management rules, perform multi-dimensional analysis on the quantitative health status value to obtain differentiated control instructions adapted to each disinfection cabinet device. B5: The differentiated control instructions are sent to the corresponding disinfection cabinet devices through the two-way stable data interaction channel, and the disinfection cabinet devices are controlled to execute the instructions, thereby completing the unified scheduling and dynamic status control of the disinfection cabinet cluster.

[0006] In a preferred embodiment, the process of connecting disinfection cabinet devices distributed across different application scenarios to a cloud management platform via a preset communication link to form a disinfection cabinet cluster, establishing a stable two-way data interaction channel between the disinfection cabinet cluster and the cloud management platform, and generating online access results for the disinfection cabinet cluster includes: Send device access invitation information to disinfection cabinet devices in various application scenarios, and obtain device access response information from the disinfection cabinet devices, wherein the device access response information includes the scenario affiliation information of the disinfection cabinet devices; Based on the device access response information, select disinfection cabinet devices that meet the access conditions, and include the selected disinfection cabinet devices into the cluster to be built. Based on the device networking rules of the cloud management platform, the disinfection cabinet devices within the scope of the cluster to be built are logically associated to form a disinfection cabinet cluster. Configure the data transmission link between the disinfection cabinet cluster and the cloud management platform according to the preset communication protocol to establish a stable two-way data interaction channel; The transmission performance of the bidirectional stable data interaction channel is verified, and the online access result of the disinfection cabinet cluster is generated based on the verification result.

[0007] In a preferred embodiment, the device networking rules based on the cloud management platform logically associate the disinfection cabinet devices within the cluster to be formed, creating a disinfection cabinet cluster, including: Based on the scene affiliation information of each disinfection cabinet device within the cluster to be formed, generate the device scene classification result within the cluster to be formed. Based on the device scenario classification results, the disinfection cabinet devices are grouped and labeled to generate a set of devices in the same scenario within the scope of the cluster to be built; Based on the networking rules of the cloud management platform, configure the logical association strategy for the group set of devices in the same scenario; Based on the aforementioned logical association strategy, establish logical mapping relationships between devices within the same scenario device group; Based on the logical mapping relationship between the devices, the groups of devices in the same scenario are integrated to form a unified management disinfection cabinet cluster.

[0008] In a preferred embodiment, the cloud management platform verifies the identity and legality of each disinfection cabinet device in the online access results and registers its basic information. A unique device identifier is assigned to each verified disinfection cabinet device, resulting in a standardized device file for the disinfection cabinet cluster, including: Based on the identity authentication information reported by each disinfection cabinet device in the online access results, a set of identity information to be verified for the disinfection cabinet cluster is generated. The set of identity information to be verified is matched and compared with the legitimate device identity database pre-stored in the cloud management platform to obtain the identity legitimacy verification result of the disinfection cabinet cluster; For the disinfection cabinet devices that pass the identity verification results, collect and input the basic information of the devices to complete the device information registration of the disinfection cabinet devices; Based on the basic equipment information of the disinfection cabinet, a unique equipment identifier is bound to the disinfection cabinet. Information of all disinfection cabinets that have completed the equipment information registration and unique equipment identifier binding is integrated to obtain a standardized equipment file for the disinfection cabinet cluster.

[0009] In a preferred embodiment, the step of performing targeted real-time collection and classification summarization of the operating status parameters of each disinfection cabinet device based on the unique device identifier in the standardized equipment file to obtain the real-time operating dataset of the disinfection cabinet cluster includes: Based on the unique device identifier, the data collection permissions of the corresponding disinfection cabinet device are located, and the targeted collection authorization result of the disinfection cabinet cluster is generated. Based on the targeted collection authorization result, a request to retrieve the operating status parameters is initiated to the corresponding disinfection cabinet device to obtain the operating status parameters fed back by the disinfection cabinet device, thereby forming the original status parameter set of the disinfection cabinet cluster. The original set of state parameters is categorized and organized based on preset parameter types to obtain the classification parameter set of the disinfection cabinet cluster. The classification parameter set is subjected to time-series alignment and format unification processing to obtain the real-time running dataset of the disinfection cabinet cluster.

[0010] In a preferred embodiment, the risk assessment of the real-time operational dataset yields a quantitative health status value for each disinfection cabinet device. Based on preset management rules, the quantitative health status value is then analyzed in multiple dimensions to obtain differentiated control instructions adapted to each disinfection cabinet device, including: By filtering out abnormal feature information in the real-time running dataset, the basis for determining the equipment risk of the disinfection cabinet cluster is obtained. Based on the aforementioned equipment risk assessment criteria, an operational risk assessment is conducted on each disinfection cabinet to obtain a quantitative value of the health status of each disinfection cabinet. Based on the preset device management rules within the cloud management platform, the rule parsing basis for the disinfection cabinet cluster is generated; Based on the aforementioned rule parsing criteria, the quantitative value of health status is analyzed item by item in terms of operational and control dimensions to generate the analysis results for each disinfection cabinet device; Based on the analysis results, corresponding control strategies are matched for each disinfection cabinet device to obtain differentiated control instructions for the disinfection cabinet cluster; The differentiated control instructions include: when the health status quantification value of any disinfection cabinet device is lower than the first preset threshold, the device is marked as a device to be maintained, and the disinfection task currently undertaken by the device is dynamically scheduled to be executed by the disinfection cabinet device with the highest health status quantification value in the same scenario group.

[0011] In a preferred embodiment, the step of assessing the operational risk of each disinfection cabinet based on the equipment risk assessment criteria to obtain a quantitative value of the health status of each disinfection cabinet includes: Data completeness analysis is performed on the real-time running dataset to obtain the data validity and completeness parameters of the disinfection cabinet equipment; The abnormal features in the equipment risk assessment criteria are used to determine the abnormality of the disinfection cabinet equipment, thereby obtaining the abnormal feature deviation parameter of the disinfection cabinet equipment. By continuously identifying abnormal features based on the risk assessment criteria of the equipment, the risk persistence correlation parameter of the disinfection cabinet equipment is obtained. Substituting the data validity and completeness parameter, the abnormal feature deviation parameter, and the risk persistence correlation parameter into the preset operational risk assessment formula, the initial health status value of the disinfection cabinet equipment is obtained. The operational risk assessment formula is expressed as follows: ; In the formula, This indicates the initial health status value of the disinfection cabinet equipment. This parameter represents the data validity and completeness of the disinfection cabinet equipment. The parameter representing the deviation of abnormal characteristics of the disinfection cabinet equipment. This indicates the risk persistence correlation parameter of the disinfection cabinet equipment. It is a natural constant; The initial health status values ​​are normalized to obtain the quantitative health status values ​​of each disinfection cabinet device.

[0012] In a preferred embodiment, the step of performing item-by-item analysis of the health status quantification value based on the rule parsing criteria, considering both operational and control dimensions, to generate the analysis results for each disinfection cabinet device includes: Based on the rule parsing criteria, the operational condition compliance of the health status quantification value is determined to obtain the operational dimension adaptation results of each disinfection cabinet device. Based on the rule parsing criteria, the applicability of the control strategy is screened for the quantitative value of the health status, and the control dimension adaptation results of each disinfection cabinet device are obtained. The operational dimension adaptation results and the control dimension adaptation results are integrated to obtain the comprehensive dimension adaptation information of each disinfection cabinet device; The compliance verification of the comprehensive adaptation information of the aforementioned dimensions is performed to obtain the parsing results of each disinfection cabinet device.

[0013] In a preferred embodiment, the step of sending the differentiated control instructions to the corresponding disinfection cabinet devices through the bidirectional stable data interaction channel, controlling the disinfection cabinet devices to execute the instructions, and completing the unified scheduling and dynamic status control of the disinfection cabinet cluster includes: Based on the unique device identifier carried by the differentiated control command, the target disinfection cabinet device to be executed is located, the differentiated control command is encapsulated into a transmission format adapted to the bidirectional stable data interaction channel, and a command transmission data packet is generated. Through the bidirectional stable data interaction channel, the instruction transmission data packet is sent to the target disinfection cabinet device, and the instruction reception confirmation information fed back by the target disinfection cabinet device is received to establish the execution triggering conditions for the differentiated control instruction; Based on the confirmation information received by the instruction, the target disinfection cabinet device is triggered to execute the corresponding instruction operation, and the instruction execution feedback information of the target disinfection cabinet device is collected. If no instruction execution result information is received from the disinfection cabinet device within the preset time, or if the received execution result information indicates that the instruction execution failed, a backup control instruction is issued to the disinfection cabinet device to complete the unified scheduling and dynamic status control of the disinfection cabinet cluster.

[0014] To address the aforementioned problems, this invention also provides a cloud-based disinfection cabinet cluster management system. The system includes a device cluster access module, a device registration and identification management module, an operational data collection and aggregation module, a health assessment and instruction generation module, and an instruction issuance and cluster control module, wherein: The device cluster access module is used to connect disinfection cabinet devices distributed in different application scenarios to the cloud management platform through a preset communication link to form a disinfection cabinet cluster, establish a two-way stable data interaction channel between the disinfection cabinet cluster and the cloud management platform, and generate the online access result of the disinfection cabinet cluster. The device registration and identification management module is used to verify the identity and legality of each disinfection cabinet device in the online access results and register the basic information of the device in the cloud management platform, assign a unique device identifier to the disinfection cabinet device that passes the verification, and obtain the standardized device file of the disinfection cabinet cluster. The operation data acquisition and aggregation module is used to perform targeted real-time acquisition and classification aggregation of the operation status parameters of each disinfection cabinet device based on the unique device identifier in the standardized equipment file, so as to obtain the real-time operation dataset of the disinfection cabinet cluster. The health assessment and instruction generation module is used to perform risk assessment on the real-time running dataset, obtain the health status quantification value of each disinfection cabinet device, and perform multi-dimensional analysis of the health status quantification value based on preset management rules to obtain differentiated control instructions adapted to each disinfection cabinet device. The instruction issuance and cluster management module is used to issue the differentiated management instructions to the corresponding disinfection cabinet devices through the bidirectional stable data interaction channel, control the disinfection cabinet devices to execute the instruction operations, and complete the unified scheduling and dynamic status management of the disinfection cabinet cluster.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention achieves centralized networking and unified access for disinfection cabinet devices across different application scenarios through a cloud management platform. It establishes a stable two-way data interaction channel between the devices and the platform, integrating scattered devices into a standardized disinfection cabinet cluster, significantly improving the organization and ease of management of the cluster. By verifying the identity and registering basic information of the connected devices, each verified device is assigned a unique identifier and a standardized device file is created. This ensures accurate identification of devices and complete retention of information, effectively avoiding problems such as unauthorized device access, chaotic device information, and management deficiencies, thus enhancing the security and standardization of cluster access and information management. This management method eliminates the need for manual registration and on-site verification, simplifying the device online process, reducing the intensity of manual management, and providing a reliable information foundation and management guarantee for the long-term stable operation of the disinfection cabinet cluster.

[0016] 2. This invention achieves targeted collection and classification of operational status parameters based on standardized equipment files. Combined with equipment risk assessment criteria, it completes a quantitative evaluation of health status and conducts multi-dimensional analysis according to preset management rules. This enables precise matching and generation of differentiated control instructions adapted to each device, transforming equipment management from a unified model to a refined model. Through a stable two-way data interaction channel, control instructions are accurately issued to the corresponding devices and triggered for execution. Real-time responses to changes in equipment operating status allow for timely adjustments to operating strategies and control methods, improving the flexibility and timeliness of cluster scheduling. The entire process of data collection, status assessment, instruction generation, and execution is automated, reducing manual intervention and on-site operations, improving the management efficiency and response speed of the disinfection cabinet cluster, ensuring stable equipment operation safety and disinfection quality, and reducing overall operation and maintenance costs and management risks. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a cloud-based disinfection cabinet cluster management method according to an embodiment of the present invention. Figure 2 A functional module diagram of a cloud-based disinfection cabinet cluster management system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram illustrating the variation of health status with deviation from abnormal characteristics under different S and K conditions according to an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the quantitative comparison of the health status of grouped disinfection cabinets in different scenarios, provided in an embodiment of the present invention. Detailed Implementation

[0018] This application provides a cloud-based method for managing a cluster of disinfection cabinets. The executing entity of this cloud-based disinfection cabinet cluster management method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the cloud-based disinfection cabinet cluster management method can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0019] Reference Figure 1The diagram shown is a flowchart illustrating a cloud-based disinfection cabinet cluster management method according to an embodiment of the present invention. In this embodiment, the cloud-based disinfection cabinet cluster management method includes: B1: Disinfection cabinet devices distributed in different application scenarios are connected to the cloud management platform through a preset communication link to form a disinfection cabinet cluster. A two-way stable data interaction channel is established between the disinfection cabinet cluster and the cloud management platform to generate the online access result of the disinfection cabinet cluster. In this embodiment of the invention, the step of connecting disinfection cabinet devices distributed in different application scenarios to a cloud management platform via a preset communication link to form a disinfection cabinet cluster, establishing a stable two-way data interaction channel between the disinfection cabinet cluster and the cloud management platform, and generating an online access result for the disinfection cabinet cluster includes: Send device access invitation information to disinfection cabinet devices in various application scenarios, and obtain device access response information from the disinfection cabinet devices, wherein the device access response information includes the scenario affiliation information of the disinfection cabinet devices; Based on the device access response information, select disinfection cabinet devices that meet the access conditions, and include the selected disinfection cabinet devices into the cluster to be built. Based on the device networking rules of the cloud management platform, the disinfection cabinet devices within the scope of the cluster to be built are logically associated to form a disinfection cabinet cluster. Configure the data transmission link between the disinfection cabinet cluster and the cloud management platform according to the preset communication protocol to establish a stable two-way data interaction channel; The transmission performance of the bidirectional stable data interaction channel is verified, and the online access result of the disinfection cabinet cluster is generated based on the verification result.

[0020] The device networking rules based on the cloud management platform logically associate the disinfection cabinet devices within the scope of the cluster to be formed, creating a disinfection cabinet cluster, including: Based on the scene affiliation information of each disinfection cabinet device within the cluster to be formed, generate the device scene classification result within the cluster to be formed. Based on the device scenario classification results, the disinfection cabinet devices are grouped and labeled to generate a set of devices in the same scenario within the scope of the cluster to be built; Based on the networking rules of the cloud management platform, configure the logical association strategy for the group set of devices in the same scenario; Based on the aforementioned logical association strategy, establish logical mapping relationships between devices within the same scenario device group; Based on the logical mapping relationship between the devices, the groups of devices in the same scenario are integrated to form a unified management disinfection cabinet cluster.

[0021] It should be specifically noted that the cloud management platform is the core carrier for overall control. The device cluster access module, device registration and identification management module, operation data collection and aggregation module, health assessment and instruction generation module, and instruction issuance and cluster control module are all integrated and deployed within the cloud management platform. Under the unified scheduling of the cloud management platform, each module operates collaboratively to achieve full-process management of the disinfection cabinet cluster.

[0022] Data interaction and process connection between modules are all transferred and coordinated through the cloud management platform. The cloud management platform is used to uniformly monitor the operating status of each module, uniformly control process nodes, and uniformly store and retrieve data information, ensuring the orderly connection and stable execution of the entire process of device cluster access, registration management, data collection, health assessment, and command issuance.

[0023] The preset communication link includes any one or more combinations of Wi-Fi, 4G / 5G cellular network, LoRa, Zigbee or Ethernet, and the preset communication protocol includes any one of MQTT, CoAP, HTTP / HTTPS or WebSocket.

[0024] The cloud management platform sends device access invitation information containing access guidance information to the disinfection cabinet devices in standby mode in various application scenarios. After receiving the device access invitation information, the disinfection cabinet device sends back device access response information containing device operating status and access capability to the cloud management platform according to the preset communication response rules.

[0025] Device access invitation information is a communication message proactively sent by the cloud management platform to disinfection cabinet devices awaiting access in various application scenarios through a preset communication link. It informs the disinfection cabinet device that the access process is currently feasible, triggers the device to provide feedback on its access capabilities and status information, and serves as the initial trigger for initiating the device cluster setup process. Access guidance information is the process guidance content included within the device access invitation information. It provides the disinfection cabinet device with access process steps, communication format requirements, data interaction specifications, etc., enabling the device to complete information feedback and link establishment according to a unified standard, ensuring the orderly execution of the device access process. Device access response information is the status and access capability information that the disinfection cabinet device provides to the cloud management platform after receiving the device access invitation information. This includes device communication adaptation status, scenario affiliation information, and operational readiness status. It is used by the cloud management platform to determine whether the device meets the access conditions and serves as the basis for device screening and cluster aggregation.

[0026] The cloud management platform performs access condition matching and judgment on the received device access response information, filters out the disinfection cabinet devices that meet the communication connection requirements and device status requirements and includes them in the cluster to be built. The cloud management platform extracts the scene ownership information of each disinfection cabinet device in the cluster to be built, distinguishes and organizes the devices according to the consistency of the scene ownership information, and generates the device scene classification results in the cluster to be built.

[0027] It should be further explained that the scene attribution information is a fixed attribute information that is pre-installed inside each disinfection cabinet at the factory and is used to identify the actual deployment and application environment of the equipment. This information is configured before the equipment goes online and is reported synchronously with the communication messages during the process of connecting to the cloud management platform. It is used to realize the classification and networking of equipment and the control of different scenes. The scene attribution information includes the type of application field to which the equipment belongs, the physical location of the equipment, the management unit to which the equipment belongs, the preset operating mode of the equipment, and the scene group number to which the equipment belongs. The above contents together constitute the complete scene attribution information of a single disinfection cabinet.

[0028] The cloud management platform adds corresponding scene tags to the disinfection cabinets according to the device scene classification results, grouping disinfection cabinets belonging to the same scene into the same group, generating a set of devices in the same scene within the scope of the cluster to be built. The cloud management platform calls the internal preset networking rules, configures a logical association strategy including association priority and interaction permissions according to the number and composition of the devices in the same scene group, and establishes corresponding pointing relationships for the disinfection cabinets in the same scene group according to the logical association strategy, completing the establishment of logical mapping relationships between devices. The cloud management platform integrates all devices in the same scene group with established logical mapping relationships into a disinfection cabinet cluster that can be centrally managed.

[0029] It should be further explained that the preset networking rules are pre-configured within the cloud management platform, serving as execution standards and constraints for standardizing the clustering and logical association of disinfection cabinet devices. These rules are the core basis for achieving orderly networking of multiple devices. The rules include device scenario grouping matching conditions, logical association priorities between devices, the scope of interaction permissions for devices within the same group, device access sorting mechanisms, and cluster status update cycles. The rules require that only devices with consistent scenario affiliation information be grouped into the same logical group, setting association priorities based on device access time and online status, limiting devices within the same group to receiving only unified scheduling instructions from the platform, and prohibiting unauthorized data interaction across groups. The rules also specify the execution order of device access and cluster formation, clarifying the real-time update cycle of the cluster structure and device online status to ensure a stable cluster structure and clear association relationships. These networking rules are automatically invoked and executed by the cloud management platform throughout the process, requiring no manual intervention, ensuring that the logical association and networking process of the disinfection cabinet cluster is standardized, orderly, and traceable.

[0030] The cloud management platform configures parameters and binds channels for the data transmission link between the disinfection cabinet cluster and the cloud management platform according to a preset communication protocol, thus establishing a stable two-way data interaction channel. The cloud management platform sends test data to the stable two-way data interaction channel and receives feedback data. It performs transmission performance verification based on the integrity and continuity of data transmission and reception, and integrates the channel status that has passed the performance verification with the device access status to generate the online access result of the disinfection cabinet cluster.

[0031] It should be further explained that the online access result of the disinfection cabinet cluster is a comprehensive status record generated by the cloud management platform after the entire process of device access, cluster setup, channel establishment, and transmission performance verification is completed. This record characterizes the connection effectiveness between each disinfection cabinet device and the cloud management platform, as well as the integrity of the cluster setup. The result includes the unique identity information of successfully connected devices, scene attribution information, device online status, logical relationships, connectivity level of the bidirectional stable data interaction channel, and transmission verification pass flags. It also records the reasons for unsuccessful device access and troubleshooting prompts.

[0032] The beneficial effects include: by uniformly sending access invitations to disinfection cabinet devices across multiple scenarios and filtering valid responses, the screening and aggregation of devices to be connected can be completed quickly, improving the efficiency and accuracy of device cluster construction. Classifying and grouping devices according to scenario affiliation information makes the composition structure of the disinfection cabinet cluster clearer, facilitating subsequent scenario-based management and status monitoring. Configuring logical association strategies based on preset networking rules and establishing logical mapping relationships between devices enables standardized networking of distributed devices, avoiding the problem of chaotic device associations within the cluster. Building a stable two-way data interaction channel based on a preset communication protocol and verifying transmission performance ensures the stability and reliability of data transmission between the cloud management platform and the disinfection cabinet devices, providing stable communication support for subsequent data collection, command issuance, and other operations. The entire process automates device access, cluster construction, and channel establishment, reducing manual intervention and improving the convenience and standardization of disinfection cabinet cluster deployment and management.

[0033] B2: In the cloud management platform, the identity and legality of each disinfection cabinet device in the online access results are verified and the basic information of the device is registered. A unique device identifier is assigned to the disinfection cabinet device that passes the verification, so as to obtain the standardized device file of the disinfection cabinet cluster. In this embodiment of the invention, the cloud management platform verifies the identity and legality of each disinfection cabinet device in the online access results and registers its basic information. A unique device identifier is assigned to each verified disinfection cabinet device, resulting in a standardized device file for the disinfection cabinet cluster, including: Based on the identity authentication information reported by each disinfection cabinet device in the online access results, a set of identity information to be verified for the disinfection cabinet cluster is generated. The set of identity information to be verified is matched and compared with the legitimate device identity database pre-stored in the cloud management platform to obtain the identity legitimacy verification result of the disinfection cabinet cluster; For the disinfection cabinet devices that pass the identity verification results, collect and input the basic information of the devices to complete the device information registration of the disinfection cabinet devices; Based on the basic equipment information of the disinfection cabinet, a unique equipment identifier is bound to the disinfection cabinet. Information of all disinfection cabinets that have completed the equipment information registration and unique equipment identifier binding is integrated to obtain a standardized equipment file for the disinfection cabinet cluster.

[0034] It should be specifically explained that, based on the online access results of the disinfection cabinet cluster, the cloud management platform extracts the identity authentication information actively reported by each disinfection cabinet during the access process. This identity authentication information is the unique identification information built into the disinfection cabinet when it leaves the factory, including fixed attributes such as the device hardware identification code, production serial number, and device model. It is used to prove the legitimate identity of the device and is the core basis for the cloud management platform to conduct verification. The identity authentication information of all devices is centrally collected and organized to generate a set of identity information to be verified for the disinfection cabinet cluster. This set of identity information to be verified is an information set formed by the cloud management platform after centrally collecting the identity authentication information of all disinfection cabinet devices connected online. It is used to conduct batch legality verification and improve verification efficiency.

[0035] The cloud management platform retrieves the pre-stored legitimate device identity database. This database is a pre-built and stored database of legitimate device information, containing only the identity information of authorized disinfection cabinet devices that are allowed to access the cluster, serving as the benchmark for verification and comparison. Each piece of device identity information in the set of identity information to be verified is sequentially matched with the records in the legitimate device identity database for field matching and content comparison. Based on whether the comparison matches, it is determined whether the device is qualified to access the cluster, thus obtaining the identity legitimacy verification result of the disinfection cabinet cluster.

[0036] The cloud management platform initiates targeted collection of basic equipment information for disinfection cabinets marked as verified in the identity verification results. The collected equipment information is then entered into the platform's internal storage area one by one, completing the equipment information registration for the disinfection cabinets.

[0037] The cloud management platform uses the basic equipment information of registered disinfection cabinet devices, including device model, factory parameters, operation and maintenance information, and scene affiliation information, as the foundational data for device registration and subsequent management. Each device is assigned a unique and non-repeatable device identifier. This unique identifier is a dedicated identifier assigned to each legitimate device by the cloud management platform for accurate identification, location, and control of individual devices, ensuring that devices within the cluster are not duplicated or confused. The unique device identifier is then bound to the corresponding device. All device information that has been registered and bound with unique device identifiers is uniformly integrated and archived to obtain a standardized device file for the disinfection cabinet cluster. This standardized device file is a standardized archive formed by uniformly integrating device identity information, registration information, and unique identifiers, and is the core data carrier for realizing the full lifecycle management of the disinfection cabinet cluster.

[0038] The beneficial effects include: centralized collection and batch verification of device identity information, which can quickly filter out unauthorized devices, ensuring the security and controllability of disinfection cabinet cluster access and avoiding management risks caused by unauthorized device access. Standardized information registration and unique device identification binding for verified devices enable accurate identification and independent control of each device, improving the standardization and accuracy of device management. Integrating all legitimate device information into standardized device files allows for unified archiving, storage, and retrieval of device information, providing complete and reliable data support for subsequent data collection, health assessment, and command issuance, thus improving overall management efficiency and ease of operation and maintenance.

[0039] B3: Based on the unique equipment identifier in the standardized equipment file, perform targeted real-time collection and classification of the operating status parameters of each disinfection cabinet device to obtain the real-time operating dataset of the disinfection cabinet cluster; In this embodiment of the invention, the step of performing targeted real-time collection and classification summarization of the operating status parameters of each disinfection cabinet device based on the unique device identifier in the standardized equipment file to obtain the real-time operating dataset of the disinfection cabinet cluster includes: Based on the unique device identifier, the data collection permissions of the corresponding disinfection cabinet device are located, and the targeted collection authorization result of the disinfection cabinet cluster is generated. Based on the targeted collection authorization result, a request to retrieve the operating status parameters is initiated to the corresponding disinfection cabinet device to obtain the operating status parameters fed back by the disinfection cabinet device, thereby forming the original status parameter set of the disinfection cabinet cluster. The original set of state parameters is categorized and organized based on preset parameter types to obtain the classification parameter set of the disinfection cabinet cluster. The classification parameter set is subjected to time-series alignment and format unification processing to obtain the real-time running dataset of the disinfection cabinet cluster.

[0040] It needs to be specifically explained that the cloud management platform retrieves the unique device identifier from the standardized equipment file, matches the unique device identifier with the preset data collection permission configuration list, determines the range of operational status parameters that can be collected for each disinfection cabinet and the data collection permissions. The data collection permissions are the parameter collection range and allowed collection level set by the cloud management platform for each disinfection cabinet, used to limit the types of parameters that can be collected, ensure the compliance and security of data collection, and generate targeted collection authorization results for the disinfection cabinet cluster. The targeted collection authorization results are authorization credentials generated by the cloud management platform based on the unique device identifier and data collection permissions, used to confirm the correspondence between the device and the collection range, and provide a legal basis for parameter collection.

[0041] Based on the authorized results of targeted data collection, the cloud management platform initiates a request to retrieve operating status parameters from the disinfection cabinet device corresponding to the unique device identifier through a two-way stable data interaction channel. The operating status parameters are real-time status data generated by the disinfection cabinet device during operation, including information reflecting the actual operating status of the device such as operating status, working mode, and online status. After receiving the request, the device feeds back its current operating status parameters to the cloud management platform. The cloud management platform centrally receives all the fed-back operating status parameters to form the original status parameter set of the disinfection cabinet cluster. The original status parameter set is the initial parameter set that the cloud management platform directly obtains from each device without any processing, retaining all the original information fed back by the device.

[0042] The cloud management platform categorizes and classifies the parameters in the original status parameter set according to preset parameter types. The preset parameter types are parameter classification standards pre-set by the cloud management platform, which are used to classify and classify operating status parameters with different functions and attributes in a standardized manner. Parameters belonging to the same type are placed under the same category, thus completing the classification and organization of parameters and obtaining the classification parameter set of the disinfection cabinet cluster. The classification parameter set is a set of parameters that has been classified and organized according to preset types, improving the regularity and readability of the data.

[0043] The cloud management platform arranges and aligns the parameters in the classification parameter set according to their collection time, and unifies all parameters into the same data format. This time-series alignment and format unification process sorts the parameters by collection time and unifies the data format to eliminate the time-series and format differences of the parameters fed back by different devices. This results in a real-time operating dataset of the disinfection cabinet cluster. The real-time operating dataset is a complete, standardized, and usable cluster operating data set formed after collection, classification, alignment, and format unification, providing data support for subsequent risk assessment and control instruction generation.

[0044] The beneficial effects include targeted collection of operational status parameters through unique device identifiers, enabling precise location of target devices and limiting the collection scope, avoiding invalid and unauthorized data collection, and improving the accuracy and security of data acquisition. Categorizing, aligning, and standardizing the format of raw parameters eliminates the disorder and inconsistencies in data from multiple devices, forming a standardized real-time operational dataset. This complete and standardized real-time operational dataset can be directly used for subsequent equipment health status assessments and management strategy formulation, improving data utilization efficiency and providing a reliable data foundation for the refined and intelligent management of disinfection cabinet clusters.

[0045] B4: Perform a risk assessment on the real-time running dataset to obtain a quantitative health status value for each disinfection cabinet device. Based on preset management rules, perform multi-dimensional analysis on the quantitative health status value to obtain differentiated control instructions adapted to each disinfection cabinet device. In this embodiment of the invention, the step of performing a risk assessment on the real-time operational dataset to obtain a quantitative health status value for each disinfection cabinet device, and then performing multi-dimensional analysis on the quantitative health status value based on preset management rules to obtain differentiated control instructions adapted to each disinfection cabinet device, includes: By filtering out abnormal feature information in the real-time running dataset, the basis for determining the equipment risk of the disinfection cabinet cluster is obtained. Based on the aforementioned equipment risk assessment criteria, an operational risk assessment is conducted on each disinfection cabinet to obtain a quantitative value of the health status of each disinfection cabinet. Based on the preset device management rules within the cloud management platform, the rule parsing basis for the disinfection cabinet cluster is generated; Based on the aforementioned rule parsing criteria, the quantitative value of health status is analyzed item by item in terms of operational and control dimensions to generate the analysis results for each disinfection cabinet device; Based on the analysis results, corresponding control strategies are matched for each disinfection cabinet device to obtain differentiated control instructions for the disinfection cabinet cluster; The differentiated control instructions include: when the health status quantification value of any disinfection cabinet device is lower than the first preset threshold, the device is marked as a device to be maintained, and the disinfection task currently undertaken by the device is dynamically scheduled to be executed by the disinfection cabinet device with the highest health status quantification value in the same scenario group.

[0046] The step of conducting an operational risk assessment of each disinfection cabinet based on the equipment risk assessment criteria to obtain a quantitative value of the health status of each disinfection cabinet includes: Data completeness analysis is performed on the real-time running dataset to obtain the data validity and completeness parameters of the disinfection cabinet equipment; The abnormal features in the equipment risk assessment criteria are used to determine the abnormality of the disinfection cabinet equipment, thereby obtaining the abnormal feature deviation parameter of the disinfection cabinet equipment. By continuously identifying abnormal features based on the risk assessment criteria of the equipment, the risk persistence correlation parameter of the disinfection cabinet equipment is obtained. Substituting the data validity and completeness parameter, the abnormal feature deviation parameter, and the risk persistence correlation parameter into the operational risk assessment formula, the initial health status value of the disinfection cabinet equipment is obtained. The operational risk assessment formula is expressed as follows: ; In the formula, This indicates the initial health status value of the disinfection cabinet equipment. This parameter represents the data validity and completeness of the disinfection cabinet equipment. The parameter representing the deviation of abnormal characteristics of the disinfection cabinet equipment. This indicates the risk persistence correlation parameter of the disinfection cabinet equipment. It is a natural constant; The initial health status values ​​are normalized to obtain the quantitative health status values ​​of each disinfection cabinet device.

[0047] The step of analyzing the quantitative value of health status item by item based on the rule parsing criteria, considering both operational and control dimensions, generates the analysis results for each disinfection cabinet device, including: Based on the rule parsing criteria, the operational condition compliance of the health status quantification value is determined to obtain the operational dimension adaptation results of each disinfection cabinet device. Based on the rule parsing criteria, the applicability of the control strategy is screened for the quantitative value of the health status, and the control dimension adaptation results of each disinfection cabinet device are obtained. The operational dimension adaptation results and the control dimension adaptation results are integrated to obtain the comprehensive dimension adaptation information of each disinfection cabinet device; The compliance verification of the comprehensive adaptation information of the aforementioned dimensions is performed to obtain the parsing results of each disinfection cabinet device.

[0048] It should be specifically explained that the cloud management platform compares each operational status parameter in the real-time operational dataset with a preset normal operation parameter threshold range. Parameters exceeding the threshold range are marked as abnormal feature information. The threshold range is preset based on the factory parameters of the disinfection cabinet equipment and historical normal operation data to complete the screening of abnormal feature information. Abnormal feature information refers to parameter information in the real-time operational dataset that deviates from the normal operation range and can reflect the potential risks of the equipment. It is the direct basis for identifying equipment operation abnormalities and obtains the equipment risk judgment basis for the disinfection cabinet cluster. The equipment risk judgment basis is the risk judgment foundation composed of abnormal feature information, which is used to support the cloud management platform in carrying out operational risk assessment and health status determination.

[0049] The cloud management platform performs data completeness analysis on the real-time running dataset, comparing the actual collected valid parameters with the parameters that should be collected to obtain the data validity and completeness parameter of the disinfection cabinet equipment. The data validity and completeness parameter is a parameter that characterizes the completeness of the real-time running dataset collection, reflecting whether the parameter collection is comprehensive and effective, and directly affecting the reliability of the evaluation results.

[0050] The cloud management platform assesses the degree of abnormality in the equipment risk assessment criteria, determines the degree of difference between the abnormality and normal parameters, and obtains the abnormality deviation parameter of the disinfection cabinet equipment. The abnormality deviation parameter is a parameter that characterizes the magnitude of the difference between the abnormality and the normal state, and is used to measure the severity of the equipment's abnormal operation.

[0051] The cloud management platform continuously identifies the abnormal features in the equipment risk assessment criteria, determines the continuous correlation of abnormal features in time sequence, and obtains the risk continuity correlation parameter of the disinfection cabinet equipment. The risk continuity correlation parameter is a parameter that characterizes the degree of continuous occurrence and mutual correlation of abnormal features in time, and is used to determine whether the risk is continuous.

[0052] The preset management rules are comprehensive judgment criteria pre-configured by the cloud management platform to determine the health status level of the equipment, match corresponding control strategies, and determine instruction parameters. Based on the historical operating data and factory performance parameters of the disinfection cabinet equipment, these rules comprehensively consider multiple dimensions such as the current quantified health status value of the equipment, the type of scenario to which the equipment belongs, historical maintenance records, and energy consumption management requirements. They pre-define the level ranges for the quantified health status value, including normal operation range, warning operation range, and abnormal operation range, and configure corresponding control strategy types and instruction parameter templates for each level range. Before the equipment is connected to the cloud management platform, these preset management rules are configured and stored internally. During execution, the cloud management platform directly invokes these rules without requiring real-time manual intervention.

[0053] The cloud management platform combines and calculates the data validity and integrity parameters, abnormal feature deviation parameters, and risk persistence correlation parameters according to the preset operation risk assessment formula to obtain the initial health status value of the disinfection cabinet equipment, which is used to reflect the overall operational health of the equipment.

[0054] The data completeness parameter S ranges from [0,1]. S=1 indicates that all preset operating status parameters of the disinfection cabinet have been collected completely, while S=0 indicates that no valid data has been collected. The higher the S value, the more comprehensive and reliable the collected equipment operating information, and the greater the positive contribution to the initial value of the health status. The abnormal feature deviation parameter D ranges from [0,+∞). D=0 indicates that all operating parameters of the disinfection cabinet are within the normal range and there is no abnormal deviation. The higher the D value, the more serious the deviation of the operating parameters from the normal range, and the greater the negative contribution to the initial value of the health status. The risk persistence correlation parameter K ranges from [0,+∞). K=0 indicates that the disinfection cabinet equipment does not have continuous abnormal features or that the abnormal features are all discrete and isolated events. The larger the K value, the stronger the persistence of the abnormal features in time series, the higher the degree of correlation between abnormal events, and the more significant the inhibitory effect on the initial value of health status. The natural constant e is an irrational number with a value of 2.71828. Since the three parameters mentioned above have different dimensions and large differences in their value ranges, the initial value of health status H calculated by the operation risk assessment formula needs to be normalized by Min-Max to map H to the interval [0,1] to obtain a unified and standardized quantitative value of health status, which is convenient for subsequent horizontal comparison and matching of differentiated control strategies between different devices.

[0055] The cloud management platform normalizes the initial health status value and adjusts the calculation results to a unified standard range to obtain a quantitative value of the health status of each disinfection cabinet device, which is used to intuitively and quantitatively characterize the health level of a single disinfection cabinet device.

[0056] The data validity and completeness parameter needs further explanation. This parameter is used to characterize the comprehensiveness and effectiveness of operational data collection. A larger value indicates more complete and reliable collected equipment operational information, and a more significant effect on improving the initial health status. The initial health status increases accordingly with the increase of the data completeness and effectiveness parameter; Anomaly deviation parameter... This parameter is used to characterize the degree of difference between abnormal and normal equipment operation. A larger value indicates a more significant deviation from normal operation and a more pronounced effect on reducing the initial health status. The initial health status decreases accordingly as the deviation parameter increases. (Risk persistence correlation parameter) This parameter is used to characterize the continuity of abnormal states over time. The larger the value of this parameter, the longer the duration of the abnormality, the stronger the risk correlation, and the more significant the inhibitory effect on the initial value of the health status. The initial value of the health status will decrease significantly as the risk persistence correlation parameter increases. The initial value of the health status is jointly determined by the positive contribution of the data validity and completeness parameter, the negative contribution of the abnormal feature deviation parameter, and the negative contribution of the risk persistence correlation parameter. The three factors comprehensively reflect the actual operating risk and health level of the equipment.

[0057] The cloud management platform uses rule parsing to determine the operational condition compliance of the quantified health status value, assessing the degree of matching between the device's current state and normal operating conditions. Specifically, this operational condition compliance determination involves the cloud management platform comparing the quantified health status value of each disinfection cabinet with preset standard operating condition ranges in the rule parsing. The quantified health status value is matched sequentially with the numerical ranges corresponding to normal operating conditions, warning operating conditions, and abnormal operating conditions to determine the operating condition level of the quantified health status value. Based on the matched operating condition level, it is determined whether the device's current health status meets the requirements for normal operation in that scenario, confirming whether the device can continue to perform disinfection operations in the current state. The operating condition level and the compliance judgment conclusion are integrated to form the operational dimension adaptation result of the disinfection cabinet device, reflecting the degree of matching between the device's health status and operating conditions.

[0058] The cloud management platform uses rule parsing to screen the applicability of control strategies based on the quantified health status values, determining the appropriate control method for the current state of the device. Specifically, this screening involves the cloud management platform matching the device's quantified health status values ​​with the trigger conditions corresponding to different levels of control strategies, based on preset control strategy matching standards in the rule parsing. According to the numerical range of the quantified health status value, a corresponding control strategy type is selected, distinguishing between different control methods such as routine maintenance strategies, status adjustment strategies, maintenance prompt strategies, and operation restriction strategies. The selected control strategies are then checked for consistency with the device's scenario information and basic operational attributes to ensure that the control strategies are suitable for the current operating environment and management needs of the device. After verification, the control strategies that meet the applicable requirements are determined as the final screening results, forming the control dimension adaptation result for this disinfection cabinet device.

[0059] The cloud management platform merges and summarizes the operational dimension adaptation results and the control dimension adaptation results to obtain comprehensive dimension adaptation information for each disinfection cabinet device, which supports the generation of final control instructions. The cloud management platform performs compliance verification on the comprehensive dimension adaptation information according to preset specifications, excluding content that does not meet management requirements, and obtains the parsing results for each disinfection cabinet device, which is the direct basis for matching control strategies. Based on the parsing results, the cloud management platform matches the corresponding control strategy for each disinfection cabinet device, organizes the strategy content into executable instructions, and obtains differentiated control instructions for the disinfection cabinet cluster. The differentiated control instructions are exclusive control instructions generated individually for the health status and operating conditions of each device, realizing refined control of one policy per device.

[0060] The beneficial effects include the ability to comprehensively and accurately identify equipment operational risks and achieve quantitative and standardized assessment of equipment health status by screening for abnormal features and analyzing multi-dimensional parameters in real-time operational datasets. Using a multi-parameter combination calculation method to obtain quantitative health status values ​​improves the comprehensiveness and accuracy of health status judgment, avoiding the one-sidedness of single-parameter assessment. Analyzing health status from both operational and control dimensions based on preset management rules allows control strategies to better align with the actual equipment status and scenario management needs. Matching exclusive and differentiated control instructions to each device enables refined and personalized scheduling management, improving the targeting and effectiveness of equipment control and ensuring the stable, safe, and efficient operation of the disinfection cabinet cluster.

[0061] B5: The differentiated control instructions are sent to the corresponding disinfection cabinet devices through the two-way stable data interaction channel, and the disinfection cabinet devices are controlled to execute the instructions, thereby completing the unified scheduling and dynamic status control of the disinfection cabinet cluster.

[0062] In this embodiment of the invention, the step of sending the differentiated control instructions to the corresponding disinfection cabinet devices through the bidirectional stable data interaction channel, controlling the disinfection cabinet devices to execute the instruction operations, and completing the unified scheduling and dynamic status control of the disinfection cabinet cluster includes: Based on the unique device identifier carried by the differentiated control command, the target disinfection cabinet device to be executed is located, the differentiated control command is encapsulated into a transmission format adapted to the bidirectional stable data interaction channel, and a command transmission data packet is generated. Through the bidirectional stable data interaction channel, the instruction transmission data packet is sent to the target disinfection cabinet device, and the instruction reception confirmation information fed back by the target disinfection cabinet device is received to establish the execution triggering conditions for the differentiated control instruction; Based on the confirmation information received by the instruction, the target disinfection cabinet device is triggered to execute the corresponding instruction operation, and the instruction execution feedback information of the target disinfection cabinet device is collected. If no instruction execution result information is received from the disinfection cabinet device within the preset time, or if the received execution result information indicates that the instruction execution failed, a backup control instruction is issued to the disinfection cabinet device to complete the unified scheduling and dynamic status control of the disinfection cabinet cluster.

[0063] It should be specifically explained that the cloud management platform extracts the unique device identifier carried in the differentiated control instructions, matches the unique device identifier with the device information in the standardized device file, and accurately locates the target disinfection cabinet device for the instruction to be executed.

[0064] The differentiated control instructions are exclusive control operation instructions generated separately for the health status quantification value and operating conditions of a single disinfection cabinet device. They include one or more of the following: operating mode switching instructions, disinfection temperature adjustment instructions, disinfection duration adjustment instructions, standby / wake-up instructions, fault self-check instructions, and operating parameter reset instructions. Different instruction types correspond to different equipment control needs and execution scenarios.

[0065] The cloud management platform organizes, converts, and encapsulates the fields of differentiated control commands according to the transmission specifications of the two-way stable data interaction channel, so that the command content meets the channel transmission requirements and generates command transmission data packets. The command transmission data packets are transmission units formed by encapsulating differentiated control commands according to communication specifications, ensuring that the commands are transmitted completely and stably in the two-way stable data interaction channel.

[0066] The cloud management platform sends instruction transmission data packets to the target disinfection cabinet device through the established two-way stable data interaction channel. After successfully receiving the instruction transmission data packets, the target disinfection cabinet device sends instruction reception confirmation information back to the cloud management platform. The instruction reception confirmation information is the response information returned by the target disinfection cabinet device after successfully receiving the instruction, which is used to inform the cloud management platform that the instruction has been delivered normally.

[0067] After receiving the instruction confirmation information, the cloud management platform uses this information as a trigger signal to establish the execution trigger conditions for differentiated control instructions. Establishing these trigger conditions requires the cloud management platform to perform field verification and identity checks on the received instruction confirmation information. This confirms that the instruction confirmation information originates from the target disinfection cabinet device corresponding to this instruction, and that the instruction transmission data packet is complete and error-free. After successful verification, the instruction confirmation information is marked as a valid signal, and this valid signal is set as the sole trigger for instruction activation. The cloud management platform then sends an execution permission signal to the target disinfection cabinet device. Upon receiving the execution permission signal, the device completes its internal self-check and confirms a conflict-free state before officially entering the executable mode.

[0068] After the target disinfection cabinet equipment takes effect under the triggering conditions, it performs corresponding operation adjustments, mode switching, or status maintenance operations according to the content of the differentiated control instructions. The cloud management platform collects the operating status and execution result information fed back by the target disinfection cabinet equipment after executing the instructions in real time, forming instruction execution feedback information. The instruction execution feedback information is the operating result information uploaded by the equipment after executing the instructions. It is used by the cloud management platform to confirm the execution effect and carry out subsequent control. Based on the instruction execution feedback information of all equipment, the cloud management platform summarizes and controls the operating status of the entire disinfection cabinet cluster in a unified manner, and completes the unified scheduling and dynamic status control of the disinfection cabinet cluster.

[0069] It should be further explained that the instruction execution feedback information includes instruction execution identifier, execution completion status, comparison of operating parameters before and after execution, current equipment operating status, and abnormal prompt information. All content is uploaded to the cloud management platform through a two-way stable data interaction channel, serving as the direct basis for the cloud to judge the control effect and complete the unified scheduling of the cluster. Among them, the instruction execution identifier is used to correspond to the differentiated control instructions that have been issued, ensuring that the feedback information matches the instructions one by one; the execution completion status is used to mark whether all instructions have been executed in place; the comparison of operating parameters before and after execution is used to reflect the status changes brought about by control; the current equipment operating status is used to reflect the stable state after execution; and the abnormal prompt information is used to report the cause of the failure when execution fails.

[0070] The beneficial effects include: command location and encapsulation based on unique device identifiers, enabling precise delivery of differentiated control commands, ensuring a one-to-one correspondence between commands and devices, and improving the accuracy of control execution. Command transmission and information feedback are completed through a stable two-way data interaction channel, ensuring stable and reliable communication and preventing command loss or transmission delays. Establishing execution trigger conditions based on command reception confirmation information ensures that commands are executed only after the device is in normal readiness, improving operational safety and execution success rate. Real-time collection of command execution feedback information and unified cluster scheduling enable dynamic tracking and real-time control of the disinfection cabinet cluster's operational status, improving overall management efficiency and automation level, and ensuring long-term stable equipment operation.

[0071] like Figure 2 The diagram shown is a functional module diagram of a cloud-based disinfection cabinet cluster management system provided in an embodiment of the present invention.

[0072] The cloud-based disinfection cabinet cluster management system 100 described in this invention can be installed in an electronic device. Depending on the functions implemented, the cloud-based disinfection cabinet cluster management system 100 may include a device cluster access module 101, a device registration and identification management module 102, an operation data acquisition and aggregation module 103, a health assessment and instruction generation module 104, and an instruction issuance and cluster control module 105. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0073] In this embodiment, the functions of each module are as follows: The device cluster access module 101 is used to connect disinfection cabinet devices distributed in different application scenarios to the cloud management platform through a preset communication link to form a disinfection cabinet cluster, establish a two-way stable data interaction channel between the disinfection cabinet cluster and the cloud management platform, and generate the online access result of the disinfection cabinet cluster. The device registration and identification management module 102 is used to verify the identity and legality of each disinfection cabinet device in the online access results and register the basic information of the device in the cloud management platform, assign a unique device identifier to the disinfection cabinet device that passes the verification, and obtain the standardized device file of the disinfection cabinet cluster. The operation data acquisition and aggregation module 103 is used to perform targeted real-time acquisition and classification aggregation of the operation status parameters of each disinfection cabinet device based on the unique device identifier in the standardized equipment file, so as to obtain the real-time operation dataset of the disinfection cabinet cluster. The health assessment and instruction generation module 104 is used to perform risk assessment on the real-time running dataset, obtain the health status quantification value of each disinfection cabinet device, and perform multi-dimensional analysis of the health status quantification value based on preset management rules to obtain differentiated control instructions adapted to each disinfection cabinet device. The instruction issuance and cluster management module 105 is used to issue the differentiated management instructions to the corresponding disinfection cabinet devices through the bidirectional stable data interaction channel, control the disinfection cabinet devices to execute the instruction operations, and complete the unified scheduling and dynamic status management of the disinfection cabinet cluster.

[0074] Figure 3The figure shows the simulation results of the risk assessment formula of this invention. The horizontal axis represents the deviation degree of abnormal features (D), and the vertical axis represents the health state (H). The six curves correspond to different parameter combinations of data completeness (S) and risk persistence correlation (K). As shown in the figure, all curves exhibit a monotonically decreasing trend, indicating that the health state H decreases as the deviation degree of abnormal features (D) increases, consistent with the engineering logic that the more severe the abnormality, the worse the equipment health level. Under the condition of the same K value, the larger the S value, the higher the overall position of the curve, indicating that data completeness (S) is a positive contributing parameter to the health state H; the more complete the data collection, the higher the basic health level of the equipment. Under the condition of the same S value, the larger the K value, the lower the overall position of the curve, indicating that risk persistence correlation (K) is a negative contributing parameter to the health state H; the longer the duration of the abnormality and the stronger the correlation, the more significant the inhibitory effect on the health state. These simulation results verify the rationality and effectiveness of the multi-parameter health assessment model, providing a quantitative basis for the differentiated management of disinfection cabinet clusters.

[0075] Figure 4 This chart presents a normalized comparison of the quantified health status value H of disinfection cabinet equipment under different application scenarios. The horizontal axis represents five typical application scenarios: kitchen A, kitchen B, hospital C, school D, and shopping mall E. The vertical axis represents the normalized quantified health status value H. This chart demonstrates the application effect of the health assessment model of this invention in multiple scenarios, verifies the model's assessment accuracy and scenario adaptability, and provides data support for the differentiated management of disinfection cabinet clusters.

Claims

1. A cloud-based method for managing a cluster of disinfection cabinets, characterized in that: The method includes: B1: Disinfection cabinet devices distributed in different application scenarios are connected to the cloud management platform through a preset communication link to form a disinfection cabinet cluster. A two-way stable data interaction channel is established between the disinfection cabinet cluster and the cloud management platform to generate the online access result of the disinfection cabinet cluster. B2: In the cloud management platform, the identity and legality of each disinfection cabinet device in the online access results are verified and the basic information of the device is registered. A unique device identifier is assigned to the disinfection cabinet device that passes the verification, so as to obtain the standardized device file of the disinfection cabinet cluster. B3: Based on the unique equipment identifier in the standardized equipment file, perform targeted real-time collection and classification of the operating status parameters of each disinfection cabinet device to obtain the real-time operating dataset of the disinfection cabinet cluster; B4: Perform a risk assessment on the real-time running dataset to obtain a quantitative health status value for each disinfection cabinet device. Based on preset management rules, perform multi-dimensional analysis on the quantitative health status value to obtain differentiated control instructions adapted to each disinfection cabinet device. B5: The differentiated control instructions are sent to the corresponding disinfection cabinet devices through the two-way stable data interaction channel, and the disinfection cabinet devices are controlled to execute the instructions, thereby completing the unified scheduling and dynamic status control of the disinfection cabinet cluster.

2. The cloud-based disinfection cabinet cluster management method as described in claim 1, characterized in that, The process involves connecting disinfection cabinet devices distributed across different application scenarios to a cloud management platform via a pre-set communication link, forming a disinfection cabinet cluster. A stable two-way data interaction channel is established between the disinfection cabinet cluster and the cloud management platform, generating online access results for the disinfection cabinet cluster, including: Send device access invitation information to disinfection cabinet devices in various application scenarios, and obtain device access response information from the disinfection cabinet devices, wherein the device access response information includes the scenario affiliation information of the disinfection cabinet devices; Based on the device access response information, select disinfection cabinet devices that meet the access conditions, and include the selected disinfection cabinet devices into the cluster to be built. Based on the device networking rules of the cloud management platform, the disinfection cabinet devices within the scope of the cluster to be built are logically associated to form a disinfection cabinet cluster. Configure the data transmission link between the disinfection cabinet cluster and the cloud management platform according to the preset communication protocol to establish a stable two-way data interaction channel; The transmission performance of the bidirectional stable data interaction channel is verified, and the online access result of the disinfection cabinet cluster is generated based on the verification result.

3. The cloud-based disinfection cabinet cluster management method as described in claim 2, characterized in that, The device networking rules based on the cloud management platform logically associate the disinfection cabinet devices within the scope of the cluster to be formed, creating a disinfection cabinet cluster, including: Based on the scene affiliation information of each disinfection cabinet device within the cluster to be formed, generate the device scene classification result within the cluster to be formed. Based on the device scenario classification results, the disinfection cabinet devices are grouped and labeled to generate a set of devices in the same scenario within the scope of the cluster to be built; Based on the networking rules of the cloud management platform, configure the logical association strategy for the group set of devices in the same scenario; Based on the aforementioned logical association strategy, establish logical mapping relationships between devices within the same scenario device group; Based on the logical mapping relationship between the devices, the groups of devices in the same scenario are integrated to form a unified management disinfection cabinet cluster.

4. The cloud-based disinfection cabinet cluster management method as described in claim 1, characterized in that, In the cloud management platform, the identity and legality of each disinfection cabinet device in the online access results are verified and basic device information is registered. A unique device identifier is assigned to each verified disinfection cabinet device, resulting in a standardized device file for the disinfection cabinet cluster, including: Based on the identity authentication information reported by each disinfection cabinet device in the online access results, a set of identity information to be verified for the disinfection cabinet cluster is generated. The set of identity information to be verified is matched and compared with the legitimate device identity database pre-stored in the cloud management platform to obtain the identity legitimacy verification result of the disinfection cabinet cluster; For the disinfection cabinet devices that pass the identity verification results, collect and input the basic information of the devices to complete the device information registration of the disinfection cabinet devices; Based on the basic equipment information of the disinfection cabinet, a unique equipment identifier is bound to the disinfection cabinet. Information of all disinfection cabinets that have completed the equipment information registration and unique equipment identifier binding is integrated to obtain a standardized equipment file for the disinfection cabinet cluster.

5. The cloud-based disinfection cabinet cluster management method as described in claim 1, characterized in that, The process involves performing targeted real-time collection and classification of the operating status parameters of each disinfection cabinet based on the unique equipment identifier in the standardized equipment file, resulting in a real-time operating dataset for the disinfection cabinet cluster, including: Based on the unique device identifier, the data collection permissions of the corresponding disinfection cabinet device are located, and the targeted collection authorization result of the disinfection cabinet cluster is generated. Based on the targeted collection authorization result, a request to retrieve the operating status parameters is initiated to the corresponding disinfection cabinet device to obtain the operating status parameters fed back by the disinfection cabinet device, thereby forming the original status parameter set of the disinfection cabinet cluster. The original state parameter set is categorized and organized based on preset parameter types to obtain the classification parameter set of the disinfection cabinet cluster; The classification parameter set is subjected to time-series alignment and format unification processing to obtain the real-time running dataset of the disinfection cabinet cluster.

6. The cloud-based disinfection cabinet cluster management method as described in claim 1, characterized in that, The process involves risk assessment of the real-time operational dataset to obtain quantitative health status values ​​for each disinfection cabinet device. Based on preset management rules, these quantitative health status values ​​are then analyzed in multiple dimensions to generate differentiated control instructions tailored to each disinfection cabinet device, including: By filtering out abnormal feature information in the real-time running dataset, the basis for determining the equipment risk of the disinfection cabinet cluster is obtained. Based on the aforementioned equipment risk assessment criteria, an operational risk assessment is conducted on each disinfection cabinet to obtain a quantitative value of the health status of each disinfection cabinet. Based on the preset device management rules within the cloud management platform, the rule parsing basis for the disinfection cabinet cluster is generated; Based on the aforementioned rule parsing criteria, the quantitative value of health status is analyzed item by item in terms of operational and control dimensions to generate the analysis results for each disinfection cabinet device; Based on the analysis results, corresponding control strategies are matched for each disinfection cabinet device to obtain differentiated control instructions for the disinfection cabinet cluster; The differentiated control instructions include: when the health status quantification value of any disinfection cabinet device is lower than the first preset threshold, the device is marked as a device to be maintained, and the disinfection task currently undertaken by the device is dynamically scheduled to be executed by the disinfection cabinet device with the highest health status quantification value in the same scenario group.

7. The cloud-based disinfection cabinet cluster management method as described in claim 6, characterized in that, The step of conducting an operational risk assessment of each disinfection cabinet based on the equipment risk assessment criteria to obtain a quantitative value of the health status of each disinfection cabinet includes: Data completeness analysis is performed on the real-time running dataset to obtain the data validity and completeness parameters of the disinfection cabinet equipment; The abnormal feature deviation parameter of the disinfection cabinet equipment is obtained by performing feature anomaly determination on the equipment risk assessment criteria. By continuously identifying abnormal features in the risk assessment criteria of the equipment, the risk persistence correlation parameter of the disinfection cabinet equipment is obtained. Substituting the data validity and completeness parameter, the abnormal feature deviation parameter, and the risk persistence correlation parameter into the preset operational risk assessment formula, the initial health status value of the disinfection cabinet equipment is obtained. The operational risk assessment formula is expressed as follows: ； In the formula, This indicates the initial health status value of the disinfection cabinet equipment. This parameter represents the data validity and completeness of the disinfection cabinet equipment. The parameter representing the deviation of abnormal characteristics of the disinfection cabinet equipment. This indicates the risk persistence correlation parameter of the disinfection cabinet equipment. It is a natural constant; The initial health status values ​​are normalized to obtain the quantitative health status values ​​of each disinfection cabinet device.

8. The cloud-based disinfection cabinet cluster management method as described in claim 6, characterized in that, The step of parsing the health status quantification value item by item according to the rule parsing criteria, and performing operational and control-oriented analysis, generates the analysis results for each disinfection cabinet device, including: Based on the rule parsing criteria, the operational condition compliance of the health status quantification value is determined to obtain the operational dimension adaptation results of each disinfection cabinet device. Based on the rule parsing criteria, the applicability of the control strategy is screened for the quantitative value of the health status, and the control dimension adaptation results of each disinfection cabinet device are obtained. The operational dimension adaptation results and the control dimension adaptation results are integrated to obtain the comprehensive dimension adaptation information of each disinfection cabinet device; The compliance verification of the comprehensive adaptation information of the aforementioned dimensions is performed to obtain the parsing results of each disinfection cabinet device.

9. The cloud-based disinfection cabinet cluster management method as described in claim 1, characterized in that, The step of sending the differentiated control instructions to the corresponding disinfection cabinet devices through the bidirectional stable data interaction channel, controlling the disinfection cabinet devices to execute the instructions, and completing the unified scheduling and dynamic status control of the disinfection cabinet cluster includes: Based on the unique device identifier carried by the differentiated control command, the target disinfection cabinet device to be executed is located, the differentiated control command is encapsulated into a transmission format adapted to the bidirectional stable data interaction channel, and a command transmission data packet is generated. Through the bidirectional stable data interaction channel, the instruction transmission data packet is sent to the target disinfection cabinet device, and the instruction reception confirmation information fed back by the target disinfection cabinet device is received to establish the execution triggering conditions for the differentiated control instruction; Based on the confirmation information received by the instruction, the target disinfection cabinet device is triggered to execute the corresponding instruction operation, and the instruction execution feedback information of the target disinfection cabinet device is collected. If no instruction execution result information is received from the disinfection cabinet device within the preset time, or if the received execution result information indicates that the instruction execution failed, a backup control instruction is issued to the disinfection cabinet device to complete the unified scheduling and dynamic status control of the disinfection cabinet cluster.

10. A cloud-based disinfection cabinet cluster management system, characterized in that: To implement the cloud-based disinfection cabinet cluster management method as described in claims 1-9, the system includes a device cluster access module, a device registration and identification management module, an operation data collection and aggregation module, a health assessment and instruction generation module, and an instruction issuance and cluster control module, wherein: The device cluster access module is used to connect disinfection cabinet devices distributed in different application scenarios to the cloud management platform through a preset communication link to form a disinfection cabinet cluster, establish a two-way stable data interaction channel between the disinfection cabinet cluster and the cloud management platform, and generate the online access result of the disinfection cabinet cluster. The device registration and identification management module is used to verify the identity and legality of each disinfection cabinet device in the online access results and register the basic information of the device in the cloud management platform, assign a unique device identifier to the disinfection cabinet device that passes the verification, and obtain the standardized device file of the disinfection cabinet cluster. The operation data acquisition and aggregation module is used to perform targeted real-time acquisition and classification aggregation of the operation status parameters of each disinfection cabinet device based on the unique device identifier in the standardized equipment file, so as to obtain the real-time operation dataset of the disinfection cabinet cluster. The health assessment and instruction generation module is used to perform risk assessment on the real-time running dataset, obtain the health status quantification value of each disinfection cabinet device, and perform multi-dimensional analysis of the health status quantification value based on preset management rules to obtain differentiated control instructions adapted to each disinfection cabinet device. The instruction issuance and cluster management module is used to issue the differentiated management instructions to the corresponding disinfection cabinet devices through the bidirectional stable data interaction channel, control the disinfection cabinet devices to execute the instruction operations, and complete the unified scheduling and dynamic status management of the disinfection cabinet cluster.

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