Data comprehensive management method, device and equipment for cigarette finished product park and medium

Abstract

The invention discloses a data comprehensive management method and device for a cigarette finished product park, equipment and a medium. The method comprises the following steps: determining a sub-management system corresponding to a target management park; acquiring sub-management data corresponding to each sub-management system, and inputting the plurality of sub-management data into a risk detection model to obtain a risk detection result corresponding to the target management park; under the condition that the risk detection result meets a risk response condition, determining a risk response scheme according to the risk detection result; and generating a risk response signal corresponding to each sub-management system based on the risk response scheme, and sending the risk response signal to the corresponding sub-management system. According to the invention, the effects of conjoint analysis of data from different management systems and linkage risk response based on the analysis result are realized. According to the invention, centralized management of a plurality of independent sub-management systems is realized, and unified integration and reasonable allocation of resources of the whole park are realized.

Description

Technical Field

[0001] The present invention relates to the field of computer application technology, and in particular to a data integrated management method, device, equipment and medium for a cigarette finished product park. Background Art

[0002] In traditional park management, subsystems such as vehicles, personnel, operating equipment, and video surveillance are independent of each other, resulting in data fragmentation and serious data silos.

[0003] Existing technologies typically develop integrated platforms to centrally manage multiple subsystems. However, this management is often highly mechanical. For example, if a data value exceeds a limit, a unified alarm is issued to all related or unrelated subsystems. This makes it difficult to integrate and rationally allocate resources across the entire park based on actual conditions. Summary of the Invention

[0004] The present invention provides a data integrated management method, device, equipment and medium for a finished cigarette product park, so as to solve the problem that the current unified management platform is highly mechanical and difficult to integrate and reasonably allocate the resources of the entire park according to actual conditions.

[0005] According to one aspect of the present invention, a data integrated management method for a cigarette finished product park is provided, the method comprising:

[0006] Determine the sub-management system corresponding to the target management park;

[0007] Obtaining sub-management data corresponding to each sub-management system, and inputting a plurality of the sub-management data into a risk detection model to obtain a risk detection result corresponding to the target management park;

[0008] If the risk detection result satisfies the risk response condition, determining a risk response plan based on the risk detection result;

[0009] Generate a risk response signal corresponding to each sub-management system based on the risk response plan, and send the risk response signal to the corresponding sub-management system

[0010] According to another aspect of the present invention, a data integrated management device for a cigarette finished product park is provided, the device comprising:

[0011] A subsystem determination module is used to determine the sub-management system corresponding to the target management park;

[0012] A risk detection module is used to obtain sub-management data corresponding to each sub-management system, and input a plurality of the sub-management data into a risk detection model to obtain a risk detection result corresponding to the target management park;

[0013] A risk response module is configured to determine a risk response plan based on the risk detection result if the risk detection result satisfies a risk response condition;

[0014] A response signal sending module is used to generate a risk response signal corresponding to each sub-management system based on the risk response plan, and send the risk response signal to the corresponding sub-management system.

[0015] According to another aspect of the present invention, an electronic device is provided, comprising:

[0016] at least one processor; and

[0017] a memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the data integrated management method for the cigarette finished product park described in any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the data integrated management method for a cigarette finished product park according to any embodiment of the present invention when executed.

[0020] The technical solution of the embodiment of the present invention is to determine the sub-management system corresponding to the target management park; obtain the sub-management data corresponding to each of the sub-management systems, and input multiple sub-management data into the risk detection model to obtain the risk detection results corresponding to the target management park; determine the risk response plan according to the risk detection results when the risk detection results meet the risk response conditions; generate a risk response signal corresponding to each of the sub-management systems based on the risk response plan, and send the risk response signal to the corresponding sub-management system. The present invention realizes the effect of joint analysis of data from different management systems and linkage risk response based on the analysis results. The present invention realizes the centralized management of multiple independent sub-management systems and realizes the unified integration and reasonable allocation of resources of the entire park.

[0021] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 This is a flow chart of a data integrated management method for a cigarette finished product park provided in accordance with the first embodiment of the present invention;

[0024] Figure 2 This is a flow chart of a data integrated management method for a cigarette finished product park provided in accordance with a second embodiment of the present invention;

[0025] Figure 3 This is a schematic structural diagram of a data integrated management device for a cigarette finished product park according to a third embodiment of the present invention;

[0026] Figure 4 It is a structural diagram of an electronic device for implementing the data integrated management method for a cigarette finished product park according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] Example 1

[0030] Figure 1A flowchart of a data integrated management method for a cigarette finished product park is provided for the first embodiment of the present invention. This embodiment is applicable to the case of centralized management of multiple systems. The method can be executed by a data integrated management device for a cigarette finished product park. The data integrated management device for a cigarette finished product park can be implemented in the form of hardware and / or software. The data integrated management device for a cigarette finished product park can be configured in a computer. Figure 1 As shown, the method includes:

[0031] S110: Determine the sub-management system corresponding to the target management park.

[0032] The target management park can be understood as a target park for data management. A target park can be understood as an activity area within a certain geographical area that, through unified planning, construction, and management, gathers specific industries or functions and provides supporting infrastructure and services. In the embodiments of the present invention, the target park can be preset based on scenario requirements and is not specifically limited here. Optionally, the target management park can include a finished product park, a science and technology park, or a cultural and creative park.

[0033] Traditional target management parks are equipped with multiple sub-management systems, each operating independently. Taking a finished product park as an example, the sub-management systems may include a vehicle management system, a personnel management system, an operating equipment management system, and a monitoring management system. The vehicle management system can be understood as a system for managing vehicles entering and exiting the park. The personnel management system can be understood as a system for managing the park's personnel. The operating equipment management system can be understood as a system for managing the park's automated operating equipment. This automated operating equipment can be, for example, a logistics transport vehicle, which can be capable of automatically transporting finished products. The finished product can be cigarettes. The monitoring management system can be understood as a system for managing the park's monitoring equipment.

[0034] S120: Obtain sub-management data corresponding to each sub-management system, and input the plurality of sub-management data into a risk detection model to obtain a risk detection result corresponding to the target management park.

[0035] The sub-management data may be understood as management data of the sub-management system. Optionally, the sub-management data may be vehicle data, personnel data, operation equipment data, or monitoring data.

[0036] The risk detection model may have the function of jointly analyzing management data from multiple different sub-management systems to perform risk detection.

[0037] The risk detection result can characterize whether there is an operational risk in the target management park. Optionally, the risk detection result may include a first result indicating whether there is a management risk, a second result characterizing the risk type, and a third result characterizing the risk level. Among them, the first result includes the existence of risk and / or the non-existence of risk. The risk type can be characterized by vehicle risk class, personnel risk class, operating equipment risk class, and monitoring equipment risk class. Further exemplarily, the management data corresponding to the vehicle risk class may be that a certain vehicle entering or leaving is an unregistered vehicle. The management data corresponding to the personnel risk class may be that a certain staff member's activities exceed the area. The management data corresponding to the operating equipment risk class may be that a certain operating equipment has a fire. The management data corresponding to the monitoring equipment risk class may be that a certain monitoring device has malfunctioned, etc. The risk level can characterize the severity of the risk. Exemplarily, the risk levels may include Class A, Class B, and Class C.

[0038] S130: When the risk detection result satisfies a risk response condition, determine a risk response plan according to the risk detection result.

[0039] The risk response condition may be a condition for determining whether to initiate a risk response based on the risk detection result. Optionally, the risk response condition may be that the first result indicates that a risk exists. Specifically, if the first result included in the risk detection result indicates that a risk exists, a risk response plan is determined based on the second result and the third result.

[0040] The risk response plan can be understood as a specific plan for risk response.

[0041] Optionally, determining a risk response plan according to the risk detection result includes:

[0042] The risk response plan is determined by a pre-built response plan library, the risk type and the risk level; wherein the response plan library includes multiple candidate types, multiple candidate levels, multiple candidate response plans and target mapping relationships; the target mapping relationship includes a mapping relationship between the candidate types, the candidate levels and the candidate response plans.

[0043] Among them, the response scheme database can be used to store multiple response schemes for risks. The candidate type can be used to match the actual risk type. The candidate level can be used to match the actual risk level. The candidate response scheme can be understood as a response scheme to be selected. Specifically, determine the risk response scheme in the response scheme library that matches the risk type and the risk level. Exemplarily, the risk type is an operating equipment risk class, and the risk level is level B (level B can indicate that the operating equipment has stopped operating), then the matched risk response scheme 1 can be to send a detour command to the normally operating operating equipment and send a maintenance command to a maintenance personnel terminal. Alternatively, the risk type is an operating equipment risk class, and the risk level is level A (level A can indicate that the operating equipment has caught fire), then the matched risk response scheme 2 can be to send a detour command to the normally operating operating equipment and send a fire emergency command to all maintenance personnel terminals. It should be noted that the embodiment of the present invention determines the risk response scheme that matches the above two based on the risk type and the risk level.

[0044] Based on the above embodiment, a response plan that matches the management risk determined by the detection can be automatically matched without manual intervention, thereby ensuring the timeliness of risk emergency response.

[0045] Optionally, after obtaining the risk detection result corresponding to the target management park, the method further includes:

[0046] When the risk detection result meets the risk warning conditions, a risk warning is issued through the warning device and risk warning data is displayed through the display interface; wherein, the risk warning data includes one or more of vehicle data, personnel data, operating equipment data or monitoring data.

[0047] The risk warning condition may be used to determine whether to issue a warning for a risk detection result. Optionally, the risk warning condition may be that the first result indicates the presence of a risk. Specifically, if the first result included in the risk detection result indicates the presence of a risk, a risk warning is issued by the warning device and risk warning data is displayed on a display interface.

[0048] The early warning device may be a device with a risk early warning function. In an embodiment of the present invention, the early warning device may be preset according to scenario requirements, and is not specifically limited here. Optionally, the early warning device may be a physical device, such as a speaker or an alarm light. The early warning device may also be a virtual device, such as a virtual prompt control, etc. Specifically, when the first result is that there is a risk, a virtual prompt control pops up in the display interface, and the risk early warning data is displayed through the virtual prompt control. The display interface may be the display interface of a target management system. The target management system may be understood as a platform for integrating and jointly managing data from multiple subsystems. The server of the target management system may serve as the executive body of an embodiment of the present invention.

[0049] The risk warning data may represent management data targeted by the risk warning, or may be understood as management data containing risks. The risk warning data may be management data corresponding to one or more sub-management systems.

[0050] Based on the above embodiment scheme, real-time risk warning is achieved based on risk detection results.

[0051] S140: Generate a risk response signal corresponding to each sub-management system based on the risk response plan, and send the risk response signal to the corresponding sub-management system.

[0052] Optionally, the sub-management system includes a vehicle management system, a personnel management system, an operation equipment management system, and a monitoring management system; after sending the risk response signal to the corresponding sub-management system, the system further includes:

[0053] For each of the sub-management systems, a response command corresponding to the risk response signal is sent to a target management device through the sub-management system; wherein the target management device includes a personnel terminal, an operating device, a monitoring device or a transport vehicle.

[0054] In an embodiment of the present invention, different sub-management systems may generate different risk response signals corresponding to the same risk response plan. Specifically, a risk response signal is sent to each sub-management system to cause each sub-management system to respond to the risk. For the same risk response plan, different sub-management systems may receive different risk response signals, and further, different sub-management systems may respond in different ways.

[0055] For example, the risk type mentioned above is the operating equipment risk type, and the risk level is Class A. The matched risk response plan 2 can be, for example, sending a detour command to the operating equipment in normal operation and sending a fire emergency command to all maintenance personnel terminals. Furthermore, based on the risk response plan 2, a response signal a (alarm signal), a response signal b (emergency signal), a response signal c (detour signal), and a response signal (alarm signal) are generated. The above four response signals are sent to the vehicle management system, the personnel management system, the operating equipment management system, and the monitoring management system in sequence; so that the personnel management system sends a fire emergency command to the personnel terminal based on the emergency signal, so that the operating equipment management system sends a detour command to each operating equipment in normal operation based on the detour signal, and so that the vehicle management system and the monitoring management system send an alarm command to the transport vehicle and the monitoring equipment based on the alarm signal.

[0056] Based on the above embodiment scheme, automated risk emergency response is achieved for the entire park, and the emergency response method is matched with the risk type and risk level, rather than a fixed single mode of risk emergency response.

[0057] Optionally, after sending the risk response signal to the corresponding sub-management system, the method further includes:

[0058] generating target storage data based on the sub-management data, the risk detection result, the risk response plan, and the risk response result, and storing the risk storage data in a target database;

[0059] After storing the risk storage data in the target database, the method further includes:

[0060] In response to a data query operation, determining target query data and a data type of the target query data, determining a data item to be authenticated according to the data type, and displaying the data item to be authenticated;

[0061] In response to a data input operation for the data item to be authenticated, target input data is determined, and when the target input data satisfies a target authentication condition, the target query data is displayed.

[0062] Among them, the target storage data can be understood as a risk response record. A risk response record can correspond to the entire process of a risk response. The target database has the function of storing multiple risk response records. The risk response result can represent the result after the risk response. The risk response result can be manually input based on the actual situation investigated by the staff, or it can be fed back through various sub-management systems. For example, taking the above-mentioned risk response plan 2 as an example, the risk response result can be that the fire is extinguished within 5 minutes, 2 operating equipment are damaged, and no casualties are caused.

[0063] The target query data can be understood as the target data of the query, which can be stored data in the database. In an embodiment of the present invention, the data types of different stored data can be different or the same. When querying stored data, it is necessary to perform identity authentication corresponding to the data type of the queried data to ensure that the data query personnel have the authority to query the current data before displaying the data.

[0064] The data item to be authenticated can be understood as the data item to be authenticated. In an embodiment of the present invention, the data item to be authenticated can be preset according to the scenario requirements and is not specifically limited here. Optionally, the data item to be authenticated can include an identification data item, a department data item, or an authentication code data item. The target input data can be understood as data input for the data to be authenticated. Optionally, the target input data can include an identification, a department to which it belongs, or an authentication code. The target authentication condition can be used to determine whether the target input data has query permission for the target query data.

[0065] Based on the above embodiment scheme, data storage and tracing after risk response are realized, and data tracing is achieved through data verification, which can ensure data security.

[0066] The technical solution of the embodiment of the present invention is to determine the sub-management system corresponding to the target management park; obtain the sub-management data corresponding to each of the sub-management systems, and input multiple sub-management data into the risk detection model to obtain the risk detection results corresponding to the target management park; determine the risk response plan according to the risk detection results when the risk detection results meet the risk response conditions; generate a risk response signal corresponding to each of the sub-management systems based on the risk response plan, and send the risk response signal to the corresponding sub-management system. The present invention realizes the effect of joint analysis of data from different management systems and linkage risk response based on the analysis results. The present invention realizes the centralized management of multiple independent sub-management systems and realizes the unified integration and reasonable allocation of resources of the entire park.

[0067] Example 2

[0068] Figure 2 This is a flowchart of a data integrated management method for a cigarette finished product park provided in the second embodiment of the present invention. This embodiment is directed to the above embodiment, where multiple sub-management data are input into the risk detection model to obtain the risk detection results corresponding to the target management park for refinement. Figure 2 As shown, the method includes:

[0069] S210: Determine the sub-management system corresponding to the target management park.

[0070] Optionally, the risk detection model includes a data prediction model and a data detection model. Based on this, the embodiment scheme is further explained as follows.

[0071] S220: Obtain sub-management data corresponding to each sub-management system, and input the plurality of sub-management data into the data prediction model to obtain prediction data corresponding to each sub-management data.

[0072] The data prediction model may have a data prediction function. The data prediction model may be obtained by training a machine learning model based on training samples. The predicted data may be understood as the prediction result for the input management data. For example, in the operating equipment management system, the sub-management data may be operating equipment data. Exemplarily, the operating equipment data may include time series data such as current, voltage, speed, temperature, and power of the operating equipment. Specifically, the temperature time series may be predicted using the data prediction model to obtain a predicted temperature, etc. Alternatively, in the personnel management system, the sub-management data may be personnel data. Exemplarily, the personnel data may include time series data of personnel positions. Specifically, the location time series may be predicted using the data prediction model to obtain a predicted position, etc. Alternatively, in the vehicle management system, the sub-management data may be vehicle data. Exemplarily, the vehicle data may include transport task data. Specifically, the transport task data may be predicted using the data prediction model to obtain a predicted task, etc. Exemplarily, for vehicle A, the transport task data may include Task A for a single workday and Task B for a double workday. The predicted task for a single workday in real time is then predicted to be Task A. Alternatively, for a monitoring and management system, the sub-management data may be monitoring data. For example, the monitoring data may be a time series of image features of a monitoring device. Specifically, the image time series is predicted using a data prediction model to obtain a predicted image.

[0073] S230 : For each of the sub-management data, use the sub-management data and the corresponding prediction data as data to be detected.

[0074] The data to be detected may be understood as data to be subjected to risk detection.

[0075] Taking the above example, the temperature time series and predicted temperature are used as the data to be tested. Alternatively, the location time series and predicted location are used as the data to be tested. Alternatively, the location time series and predicted location are used as the data to be tested. Alternatively, the transportation task data and predicted task are used as the data to be tested. Alternatively, the power time series and predicted power are used as the data to be tested.

[0076] S240: Input the plurality of data to be detected into the data detection model to obtain risk detection results corresponding to the target management park.

[0077] The data detection model may have a risk detection function. The data prediction model may be obtained by training a machine learning model based on training samples.

[0078] Taking the above example as an example, specifically, for an operating equipment management system, the temperature time series and predicted temperature are input as the data to be detected into the data detection model to obtain a sub-detection result. The sub-detection result can indicate whether the operating equipment has caught fire. In an embodiment of the present invention, the data detection model performs risk detection based on a combination of temperature time series (historical management data and real-time management data) and predicted temperature (predicted management data). For example, if the real-time temperature and / or predicted temperature in the temperature time series exceeds the limit, the sub-detection result can be that the operating equipment has caught fire. Alternatively, for a personnel management system, the location time series and predicted location are input as the data to be detected into the data detection model to obtain a sub-detection result. For example, if the real-time location and / or predicted location in the location time series is a prohibited area, the sub-detection result can be that there is an abnormal personnel activity. Alternatively, for a vehicle management system, the transportation task data and predicted task are input as the data to be detected into the data detection model to obtain a sub-detection result. For example, if the predicted task is temporarily canceled on the same day, the sub-detection result can be that there is an abnormal transportation task. Alternatively, for a monitoring and management system, the power time series and predicted power are input as the data to be detected into the data detection model to obtain sub-detection results. For example, if the real-time power and / or predicted power in the power time series exceeds the limit, the sub-detection result may be that the monitoring device has failed.

[0079] Optionally, after obtaining the risk detection result, the method further includes:

[0080] A risk analysis graph is generated based on the data to be detected and the risk detection result, and the risk analysis graph is displayed through a display interface.

[0081] The risk analysis graph may include prediction results of the data prediction model for each sub-management data and detection results of the risk detection model for each prediction result. The display interface may be a display interface of the target management system. In embodiments of the present invention, the risk analysis graph may be a chart, trend chart, or dashboard.

[0082] Based on the above embodiment scheme, it is achieved to display model analysis data in the form of visual graphs.

[0083] S250: When the risk detection result satisfies a risk response condition, determine a risk response plan according to the risk detection result.

[0084] S260: Generate a risk response signal corresponding to each sub-management system based on the risk response plan, and send the risk response signal to the corresponding sub-management system.

[0085] The technical solution of the embodiment of the present invention is to input multiple sub-management data into the data prediction model to obtain prediction data corresponding to each sub-management data; for each sub-management data, the sub-management data and the corresponding prediction data are used as the data to be detected; and multiple data to be detected are input into the data detection model to obtain the risk detection results corresponding to the target management park. Based on the above embodiment, risk detection combined with data prediction can effectively identify potential risks. Risk detection through learning models can improve the accuracy of risk detection.

[0086] The target management system of the present invention is further described below.

[0087] 1. Data integration and data sharing. Specifically, unified data collection: use standardized interface technology to adapt to various subsystem data protocols to achieve real-time and accurate data capture, solve the problem of scattered data sources, and provide a comprehensive and accurate data source for subsequent unified data management. Data storage and management: rely on efficient database architecture to optimize storage structure and algorithms to achieve rapid reading and writing and long-term reliable storage of massive data, and use encryption mechanisms and access authorization systems to ensure data security and prevent leakage and tampering. Data analysis and presentation: by integrating big data analysis technology to build a multi-dimensional analysis model, that is, a data prediction model, deeply explore the value of data, and further use visualization technology to generate intuitive chart dashboards to present the park's operating status and key indicators and other information, assist staff in making reasonable decisions, and improve management accuracy and efficiency. Real-time data sharing: based on high-speed data bus and message queue technology to build data transmission channels between subsystems to ensure data updates and synchronization, break down information barriers, and improve the park's collaborative operations and emergency response speed.

[0088] 2. Intelligent linkage and emergency response. Specifically, intelligent data analysis: Using deep learning models to build intelligent analysis models, namely risk detection models, conduct real-time monitoring and analysis of multi-source data, automatically identify abnormal patterns and potential risks, such as fire hazards, security vulnerabilities, or equipment failures, and combine multi-dimensional analysis models to provide precise early warnings. This has a certain degree of foresight and can effectively prevent accidents. Automatic linkage operation: Based on preset emergency rules and intelligent decision-making engines, multiple systems can automatically coordinate and respond to abnormal events. For example, in the event of a fire, firefighting equipment, evacuation instructions, rescue notifications, and access control to block dangerous areas are automatically activated. The entire process is automated and intelligent, reducing human intervention delays and effectively controlling the situation. Emergency plan management: Through a built-in rich plan library, the optimal response plan is intelligently matched based on the type and severity of the event and dynamically adjusted for execution. Full records of the emergency process are maintained to facilitate review and summary, continuous optimization of plans, and improve the scientific nature and effectiveness of emergency management.

[0089] 3. Modular design. Specifically, modular architecture: follows the principle of high cohesion and low coupling to achieve independent packaging and development of each functional module. Each module has a single and clear responsibility and can be upgraded, maintained and tested independently, reducing system complexity and development costs and improving system stability and reliability. Standardized interface: combines general industry standards and custom extension protocols to ensure seamless access to different equipment systems, realizes unified specifications for data interaction formats, promotes the development of system integration ecology, and improves platform compatibility and scalability. Flexible scalability: Based on modularization and interface standardization, it can realize the rapid addition and deletion of functional modules on demand, support business process reorganization and function addition, such as introducing intelligent warehousing management modules or expanding e-commerce logistics docking functions, to adapt to the dynamic changes of park business and long-term development strategies. Long-term system upgrade: with the independence of modules and the openness of interfaces, the technical architecture and functional modules can be smoothly upgraded. Such as online update of software modules and hot-swap replacement of hardware modules to ensure that the business does not stop during the upgrade process.

[0090] 4. System security and scalability. Specifically, security design: Build a protection system from multiple dimensions, data encryption covers the entire life cycle, and ensure data confidentiality and integrity through transmission encryption protocols and storage encryption algorithms. Combination of multi-factor identity authentication and refined permission management: Dynamic authentication and authorization based on user roles and environments effectively prevent illegal access and unauthorized operations, and ensure the security of system resources. Scalability design: With modular architecture as the core, it supports the access of new devices horizontally and the expansion of business functions and technology upgrades vertically. Through standardized protocol interfaces and flexible configuration mechanisms, the system can achieve smooth expansion and functional evolution, reduce the cost and risk of technology upgrades, extend the system life cycle, and assist in campus management.

[0091] Based on the embodiment of the present invention, the developed target management system realizes unified data collection, intelligent joint data analysis and risk linkage response for each subsystem while ensuring data security.

[0092] Example 3

[0093] Figure 3 This is a schematic diagram of the structure of a data integrated management device for a cigarette finished product park provided by the third embodiment of the present invention. Figure 3 As shown, the apparatus includes: a subsystem determination module 310 , a risk detection module 320 , a risk response module 330 and a response signal sending module 340 .

[0094] Among them, the subsystem determination module 310 is used to determine the sub-management system corresponding to the target management park; the risk detection module 320 is used to obtain the sub-management data corresponding to each of the sub-management systems, and input multiple sub-management data into the risk detection model to obtain the risk detection results corresponding to the target management park; the risk response module 330 is used to determine the risk response plan according to the risk detection results when the risk detection results meet the risk response conditions; the response signal sending module 340 is used to generate a risk response signal corresponding to each of the sub-management systems based on the risk response plan, and send the risk response signal to the corresponding sub-management system.

[0095] The technical solution of the embodiment of the present invention is to determine the sub-management system corresponding to the target management park; obtain the sub-management data corresponding to each of the sub-management systems, and input multiple sub-management data into the risk detection model to obtain the risk detection results corresponding to the target management park; determine the risk response plan according to the risk detection results when the risk detection results meet the risk response conditions; generate a risk response signal corresponding to each of the sub-management systems based on the risk response plan, and send the risk response signal to the corresponding sub-management system. The present invention realizes the effect of joint analysis of data from different management systems and linkage risk response based on the analysis results. The present invention realizes the centralized management of multiple independent sub-management systems and realizes the unified integration and reasonable allocation of resources of the entire park.

[0096] Optionally, the risk detection model includes a data prediction model and a data detection model; the risk detection module 320 includes: a data prediction unit, a data combination unit and a data monitoring unit;

[0097] The data prediction unit is configured to input the plurality of sub-management data into the data prediction model to obtain prediction data corresponding to each sub-management data;

[0098] The data combining unit is configured to use, for each of the sub-management data, the sub-management data and the corresponding prediction data as data to be detected;

[0099] The data monitoring unit is used to input the plurality of data to be detected into the data detection model to obtain the risk detection result corresponding to the target management park.

[0100] Optionally, the risk detection module 320 further includes: a data graph generating unit, configured to generate a risk analysis graph based on the data to be detected and the risk detection result after obtaining the risk detection result, and display the risk analysis graph through a display interface.

[0101] Optionally, the risk detection result includes a first result indicating whether there is a management risk, a second result characterizing the risk type, and a third result characterizing the risk level; the first result includes the existence of risk and / or the non-existence of risk; the risk response condition includes the first result being the existence of risk; the risk response module 330 includes: a response plan determination unit, used to determine the risk response plan through a pre-built response plan library, the risk type and the risk level; wherein the response plan library includes multiple candidate types, multiple candidate levels, multiple candidate response plans and target mapping relationships; the target mapping relationship includes the mapping relationship between the candidate type, the candidate level and the candidate response plan.

[0102] Optionally, the data integrated management device for the cigarette finished product park further includes: a risk warning module, which is used to issue a risk warning through the warning device and display risk warning data through a display interface after the risk detection result corresponding to the target management park is obtained and the risk detection result meets the risk warning conditions; wherein the risk warning data includes one or more of vehicle data, personnel data, operating equipment data or monitoring data.

[0103] Optionally, the sub-management system includes a vehicle management system, a personnel management system, an operating equipment management system and a monitoring management system; the data integrated management device of the cigarette finished product park also includes: a command sending module, which is used to send the response command corresponding to the risk response signal to the target management device for each sub-management system through the sub-management system after sending the risk response signal to the corresponding sub-management system; wherein, the target management device includes a personnel terminal, operating equipment, monitoring equipment or a transport vehicle.

[0104] Optionally, the data integrated management device for the cigarette finished product park further includes: a data storage module for generating target storage data based on the sub-management data, the risk detection result, the risk response plan, and the risk response result after the risk response signal is sent to the corresponding sub-management system, and storing the risk storage data in a target database;

[0105] Optionally, the data integrated management device for the finished cigarette product park further includes: a data query module and a data authentication module;

[0106] The data query module is configured to, after storing the risk storage data in the target database, determine target query data and a data type of the target query data in response to a data query operation, determine a data item to be authenticated according to the data type, and display the data item to be authenticated;

[0107] The data authentication module is configured to determine target input data in response to a data input operation on the data item to be authenticated, and display the target query data if the target input data satisfies a target authentication condition.

[0108] The data integrated management device for the cigarette finished product park provided in the embodiment of the present invention can execute the data integrated management method for the cigarette finished product park provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0109] Example 4

[0110] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0111] like Figure 4As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0112] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0113] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the integrated data management method for the finished cigarette production park.

[0114] In some embodiments, the data integrated management method for the finished cigarette product park can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the data integrated management method for the finished cigarette product park described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the data integrated management method for the finished cigarette product park by any other appropriate means (for example, by means of firmware).

[0115] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0116] Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data management system for a cigarette production park, so that when executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0117] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0118] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0119] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0120] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0121] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0122] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A data integrated management method for a cigarette finished product park, characterized in that: include: Determine the sub-management system corresponding to the target management park; Obtaining sub-management data corresponding to each sub-management system, and inputting a plurality of the sub-management data into a risk detection model to obtain a risk detection result corresponding to the target management park; If the risk detection result satisfies the risk response condition, determining a risk response plan based on the risk detection result; A risk response signal corresponding to each sub-management system is generated based on the risk response plan, and the risk response signal is sent to the corresponding sub-management system.

2. The method according to claim 1, characterized in that The risk detection model includes a data prediction model and a data detection model; the inputting of the plurality of sub-management data into the risk detection model to obtain the risk detection result corresponding to the target management park includes: Inputting the plurality of sub-management data into the data prediction model to obtain prediction data corresponding to each sub-management data; For each of the sub-management data, the sub-management data and the corresponding prediction data are used as data to be detected; Input the plurality of data to be detected into the data detection model to obtain the risk detection result corresponding to the target management park.

3. The method according to claim 2, characterized in that After obtaining the risk detection result, the method further includes: A risk analysis graph is generated based on the data to be detected and the risk detection result, and the risk analysis graph is displayed through a display interface.

4. The method according to claim 1, wherein The risk detection result includes a first result indicating whether a management risk exists, a second result indicating the risk type, and a third result indicating the risk level; the first result indicates whether a risk exists and / or does not exist; The risk response condition includes the first result being the risk exists; Determining a risk response plan based on the risk detection result includes: The risk response plan is determined by a pre-built response plan library, the risk type and the risk level; wherein the response plan library includes multiple candidate types, multiple candidate levels, multiple candidate response plans and target mapping relationships; the target mapping relationship includes a mapping relationship between the candidate types, the candidate levels and the candidate response plans.

5. The method according to claim 1, wherein After obtaining the risk detection result corresponding to the target management park, the method further includes: When the risk detection result meets the risk warning conditions, a risk warning is issued through the warning device and risk warning data is displayed through the display interface; wherein, the risk warning data includes one or more of vehicle data, personnel data, operating equipment data or monitoring data.

6. The method according to claim 1, characterized in that The sub-management system includes a vehicle management system, a personnel management system, an operating equipment management system and a monitoring management system; After sending the risk response signal to the corresponding sub-management system, the method further includes: For each of the sub-management systems, a response command corresponding to the risk response signal is sent to a target management device through the sub-management system; wherein the target management device includes a personnel terminal, an operating device, a monitoring device or a transport vehicle.

7. The method according to claim 1, characterized in that After sending the risk response signal to the corresponding sub-management system, the method further includes: generating target storage data based on the sub-management data, the risk detection result, the risk response plan, and the risk response result, and storing the risk storage data in a target database; After storing the risk storage data in the target database, the method further includes: In response to a data query operation, determining target query data and a data type of the target query data, determining a data item to be authenticated according to the data type, and displaying the data item to be authenticated; In response to a data input operation for the data item to be authenticated, target input data is determined, and when the target input data satisfies a target authentication condition, the target query data is displayed.

8. A data integrated management device for a cigarette finished product park, characterized in that: include: A subsystem determination module is used to determine the submanagement system corresponding to the target management park; A risk detection module is used to obtain sub-management data corresponding to each sub-management system, and input a plurality of the sub-management data into a risk detection model to obtain a risk detection result corresponding to the target management park; A risk response module is configured to determine a risk response plan based on the risk detection result if the risk detection result satisfies a risk response condition; A response signal sending module is used to generate a risk response signal corresponding to each sub-management system based on the risk response plan, and send the risk response signal to the corresponding sub-management system.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the data integrated management method for the cigarette finished product park according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the data integrated management method for a cigarette finished product park according to any one of claims 1 to 7 when executed.

Images