Intelligent production management and control platform

Abstract

The invention, which relates to the technical field of the intelligent management and control platform, discloses an intelligent production management and control platform comprising an industrial internet platform unit, a decision support center unit, an intelligent production cooperation unit, an intelligent security cooperation unit, an alarm center unit, a monitoring center unit, a production management unit, a technology management unit, and an operation management unit. According to the production management and control platform, corresponding service module application design is carried out around the targets of monitoring real-time, control automation, safety essence, management informatization, service collaboration, knowledge modeling and decision-making intellectualization through an intelligent comprehensive management and control platform; data fusion and intelligent linkage control of business systems such as production, transportation and sale, safety prevention and control, operation management and the like are realized, and the management efficiency and quality of enterprise production and property safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management and control platforms, and specifically to an intelligent production management and control platform. Background Art

[0002] At present, the global manufacturing industry is undergoing a profound transformation, with intelligence and digitalization becoming the mainstream trend of industry development. However, these traditional industries generally face problems such as low production efficiency, high resource consumption, serious environmental pollution, and high difficulty in safety management, and are in urgent need of realizing the green and intelligent transformation of the industry through technological innovation.

[0003] At the same time, the rapid development of new generation information technologies such as the Internet of Things (IoT), big data, cloud computing, and artificial intelligence (AI) has provided strong technical support for the intelligent transformation of traditional industries. By building an intelligent production control platform, real-time monitoring, data analysis, and intelligent decision-making of the production process can be achieved, thereby greatly improving production efficiency, reducing operating costs, improving product quality, reducing resource consumption, enhancing safety management capabilities, and achieving green production.

[0004] In order to solve the problems commonly faced by traditional industries, such as low production efficiency, high resource consumption, serious environmental pollution, and high difficulty in safety management, this application proposes an intelligent production control platform to solve the above problems. Summary of the invention

[0005] 1. Technical issues to be solved

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent production management and control platform to solve the technical problems raised in the above background.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the technical solution adopted by the present invention is: an intelligent production control platform, including: an industrial Internet platform unit, a decision support center unit, an intelligent production collaboration unit, an intelligent safety collaboration unit, an alarm center unit, a monitoring center unit, a production management unit, a technical management unit, and an operation management unit;

[0009] The industrial Internet platform unit is used for intelligent perception, information fusion, data mining and decision support, and provides centralized control, early warning linkage, expert decision-making and application analysis based on big data to meet various needs such as production process automation, comprehensive scheduling command, multi-system linkage, and business decision-making support, so as to achieve dynamic management of safe production;

[0010] The decision support center unit is based on digital twin technology and is used to display various data;

[0011] The intelligent production coordination unit is used for intelligently controlling the detection and control of production and transportation;

[0012] The intelligent safety coordination unit is used for monitoring and early warning of water damage and fire, as well as personnel monitoring and control;

[0013] The alarm center unit is used for presetting various alarm thresholds and processing alarm event information;

[0014] The monitoring center unit is used for monitoring, analyzing and processing the operating status of the equipment;

[0015] The production management unit is used for automatic tracking, processing, analysis and reporting of production plans and production scheduling;

[0016] The technical management unit is used for technical document management, public document library management and document compilation;

[0017] The business management unit is used to manage various business activity data.

[0018] Preferably, the industrial Internet platform unit highly integrates system data such as production process automation, safety monitoring, production, auxiliary production, and business management based on the industrial Internet platform.

[0019] Preferably, the decision support center unit specifically includes an intelligent decision cockpit, a production digital twin, a personnel positioning digital twin, an industrial video digital twin, and an emergency management digital twin.

[0020] Preferably, the intelligent production collaboration unit also includes precise positioning of the vehicle.

[0021] Preferably, the water hazard and fire monitoring and early warning as well as personnel monitoring and control of the intelligent safety collaboration unit include a detection layer, an alarm push layer and an analysis / query prediction layer.

[0022] Preferably, the alarm threshold of the alarm center unit is preset based on statistical threshold setting, model threshold setting, knowledge threshold setting, and algorithm threshold setting.

[0023] Preferably, the various business activity data of the business management unit specifically include production monitoring, sales management, financial management, cost management, contract management, material supply management, warehouse management, project management, equipment life cycle management, and office automation management.

[0024] Preferably, the intelligent production control platform also includes an integrated control platform APP, and the data used by the integrated control platform APP is consistent with the data source of the PC-side control platform.

[0025] Preferably, the comprehensive management and control platform APP integrates various personnel information, personnel location, equipment information and operating status, environmental monitoring data and related information in production safety management, and can read relevant system data functions anytime and anywhere using the smart terminal platform.

[0026] Preferably, the smart terminal platform includes but is not limited to a mobile browser, an Android client, a HarmonyOS client, and a monitoring large screen.

[0027] (III) Beneficial effects

[0028] The beneficial effects of the present invention are:

[0029] This kind of production control platform, through the intelligent integrated control platform, carries out corresponding business module application design around the goals of real-time monitoring, automated control, essential safety, information management, business collaboration, knowledge modeling, and intelligent decision-making, and realizes data integration and intelligent linkage control of various business systems such as production, transportation and sales, safety prevention and control, and business management, thereby improving the management efficiency and quality of enterprise production and property safety;

[0030] This type of production control platform is based on a modular and componentized technical architecture design concept, integrates data from various business systems and perception layer data, and uses new-generation information technology to build a business middle platform and a data middle platform to form an intelligent platform with self-perception, self-decision-making, and self-execution. It provides unified data aggregation and technical support for upper-level business applications, builds an intelligent production service and scheduling platform, a comprehensive business management system, and an intelligent comprehensive collaborative control platform to achieve data sharing services and intelligent collaborative management of various business systems in the factory. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] The present invention provides a technical solution: an intelligent production management and control platform, including: an industrial Internet platform unit, a decision support center unit, an intelligent production collaboration unit, an intelligent safety collaboration unit, an alarm center unit, a monitoring center unit, a production management unit, a technical management unit, and an operation management unit;

[0033] The industrial Internet platform unit is used for intelligent perception, information fusion, data mining and decision support. It provides centralized control, early warning linkage, expert decision-making and application analysis based on big data to meet various needs such as production process automation, comprehensive dispatching and command, multi-system linkage, and business decision-making support, so as to achieve dynamic management of safe production. The industrial Internet platform unit is based on the industrial Internet platform and highly integrates system data such as production process automation, safety monitoring, production, auxiliary production, and business management. Specifically, the industrial Internet platform unit is based on the microservice architecture software platform and integrates many technical components such as data lake, GIS, reporting tools, configuration tools, and collaborative management to form an industrial Internet platform with mature technology, rich interfaces, and agile development. The microservice architecture is uniformly deployed and used;

[0034] The decision support center unit is based on digital twin technology and is used to display various data. The decision support center unit specifically includes intelligent decision cockpit, production digital twin, personnel positioning digital twin, industrial video digital twin, and emergency management digital twin. The intelligent decision cockpit manages the cockpit view and the enterprise indicator evaluation system to reflect the operation status of the enterprise in real time. Through concise, intuitive and scientific charts (speedometer, bar chart, pie chart, early warning radar, etc.), it can vividly display KPI monitoring dashboard, financial analysis, production analysis, quality analysis, equipment analysis and management field indicator data for the management, which is conducive to management The digital twin technology is used to make scientific decisions at all levels and produce digital twins. Based on the digital twin technology, a corresponding transparent sand mining working face is constructed in the virtual scene. The operation conditions of the physical comprehensive mining working face are synchronously driven by the collection, access and analysis of real-time data of geological models and equipment models to form a digital twin of the working face. The digital twin of personnel positioning is used to access and display the real-time information, statistical information and alarm information of the personnel positioning substation. The real-time information includes the basic information of the positioning substation, personnel composition, shift leaders, and the change curve of the number of workers. The statistical information includes the total number of people underground, the number of people at the positioning substation, the highest number of people today, and the number of overtime people. The alarm information includes the proportion and details of alarm types; the industrial video digital twin comprehensively displays video information, alarm information, and statistical information, and can view online videos, playback videos, alarm videos, etc.; video warnings include the number of alarms, today's alarm statistics, this week's alarm statistics, this month's alarm statistics, unprocessed video information lists, and processed video information lists. Video statistics include the number of people, the number of online people, the number of offline people, and the number of key concerns; the emergency management digital twin comprehensively displays the text information of the plan, including comprehensive plans, special plans, and statistics on the number of plans. The number of drills, the number of rescue teams, and the number of experts are displayed in charts and graphs. Through system linkage, online command of emergency rescue is realized, the scope of the accident is delineated, and regional environmental information is called. The system automatically recommends the corresponding plan and directs the rescue process according to the plan process. During the emergency rescue process, the emergency area is first determined, and the system, equipment, environment, and personnel information of the emergency area are checked. The emergency response process is started according to the information pushed by the system. The dispatch room makes a call and records the call, and the relevant personnel are warned and recorded through the voice broadcast system. The emergency commander is reported and recorded, and the relevant units are notified to take preventive measures and record the call. All audio and video information of the entire emergency rescue process can be saved for later emergency management tracing;

[0035] The intelligent production coordination unit is used for intelligent control of production and transportation detection and control. The intelligent production coordination unit also includes precise positioning of vehicles;

[0036] The intelligent safety collaboration unit is used for monitoring and early warning of water damage and fire, as well as personnel monitoring and control. The monitoring and early warning of water damage and fire, as well as personnel monitoring and control of the intelligent safety collaboration unit include a detection layer, an alarm push layer, and an analysis / query prediction layer;

[0037] Specifically, water hazard prevention and control,

[0038] Monitoring layer: The system continuously monitors the pressure, water level, flow, temperature, electrical method, magnetic method and other data of water-rich areas, observation holes and water gushing points, comprehensively analyzes and displays the dynamic change law of hydrogeology, connects to the hydrological monitoring subsystem, and combines mining impact, microseismic and stress analysis to evaluate the possibility of water inrush accidents;

[0039] The system displays data such as measurement point name, type, location, status, parameters, alarm level and operation items in real time, helping managers to quickly understand the operation and alarm status of each subsystem.

[0040] Alarm push layer: The platform accesses the alarm information of the hydrological monitoring subsystem and pushes the configuration according to the principle of hierarchical control. The early warning conditions can not only be configured, but also have big data learning capabilities, and the alarm information can be automatically entered for the same category of alarms. The alarm push forms a closed loop of measures-approval-execution. If the closed loop is not formed within the specified time, it can be automatically pushed to the next level organization.

[0041] Analysis and prediction layer: access to relevant analysis results in the hydrological monitoring subsystem to identify and evaluate underground water hazards and provide graded early warning prompts.

[0042] The warning results of the above analysis will be pushed to the relevant responsible personnel, and water hazard control operation reports can be provided.

[0043] The platform can automatically and in real time observe the water pressure, water level, temperature, flow and other physical parameters related to hydrogeology in different areas under the coal, on the ground and in different aquifers (sections), and can quickly and accurately reflect the dynamic changes of sand mining water conditions; through the early warning function setting, the system can automatically analyze the real-time monitoring data on site to make relevant auxiliary decisions. The real-time monitored hydrological data and historical data are managed by the database; it can easily realize the multi-level sharing of hydrogeological information; it has networking function: it can realize the sharing of analysis data, and can realize networking with the safety monitoring system, and provide a basis for digital decision-making analysis.

[0044] Specifically, fire hazard prevention and control,

[0045] The platform integrates access to the monitoring system, collects monitoring data in real time, implements 24-hour continuous cycle detection of the plant area, and timely predicts the temperature changes of the ignition point, providing a scientific basis for the prevention and control of natural fires and accidents;

[0046] Monitoring layer: The system accesses the data of each monitoring point of the bundle tube monitoring system, and performs model analysis on each monitoring point, and uses critical values ​​to judge over-limit warnings. It has historical data query function and historical data modeling display;

[0047] The system displays data such as measurement point name, type, location, status, parameters, alarm level and operation items in real time, helping managers to quickly understand the operation and alarm status of each subsystem.

[0048] Alarm push layer: The platform accesses the alarm information of the bundle monitoring subsystem and pushes the configuration according to the principle of hierarchical control. The early warning conditions can not only be configured, but also have big data learning capabilities, and the alarm information can be automatically entered for the same category of alarms. The alarm push forms a closed loop of measures-approval-execution. If the closed loop is not formed within the specified time, it can be automatically pushed to the upper level organization.

[0049] Analysis and prediction layer: access the relevant analysis results in the bundle tube monitoring subsystem, establish a fire warning indicator system library and disaster accident warning model, establish a hierarchical warning system, and realize advanced warning of disaster accidents, real-time alarm and display of historical warning data.

[0050] Specifically, personnel monitoring and control,

[0051] Monitoring layer: Through the sand mining personnel management system, safety monitoring and operator management are carried out, and the production monitoring system collects real-time monitoring information of the off-site operators, performs standard verification and logic verification on the data, caches the data, backs up the data, and manages the data in sub-directories;

[0052] The collected data specifically includes the location of operators, entry and exit times, entry and exit times of key areas, entry and exit times of restricted areas, working hours, number of key personnel, activity routes of operators, and data on leaders taking charge of shifts;

[0053] Real-time display of relevant information such as number of people, violations, area overcrowding, and leaders not on duty.

[0054] Alarm push layer: The system dynamically monitors the location status of personnel going down the mine based on the real-time personnel location information, dynamically monitors violations such as overcrowding and excessive stay in various dangerous areas, and pushes alarms in a timely manner. Push configuration is carried out according to the principle of hierarchical control. Not only can the early warning conditions be configured, but also it has the ability to learn big data. Alarm information can be automatically entered for alarms of the same category. Alarm push forms a closed loop of measures-approval-execution. If the closed loop is not formed within the specified time, it can be automatically pushed to the upper level organization.

[0055] Query and analysis layer: The system supports query and statistics of personnel location historical data information. According to the personnel's department, shift, type of work and other information, the movement trajectory of personnel can be queried, and the time and number of personnel in different departments can be counted;

[0056] Realize the query of personnel information: You can query the personnel information based on name, work number, department, time of going down the mine, and other related items. It also supports paging query capabilities based on time range and provides data query performance in seconds.

[0057] Equipped with disaster evacuation route prompt function: When flood, fire, roof disaster and emergency occur, the system can access the disaster alarm accident location issued by the positioning card in the subsystem to provide the best rescue route for disaster rescue personnel and the best disaster evacuation route for evacuees;

[0058] The warning results of the above analysis will then be pushed to the relevant responsible personnel, and a fire control operation report can be provided.

[0059] The alarm center unit is used for presetting various alarm thresholds and processing alarm event information. The alarm threshold of the alarm center unit is preset based on statistical threshold settings, model threshold settings, knowledge threshold settings, and algorithm threshold settings. The platform alarm types support limit alarms, deviation alarms, change rate alarms, status alarms, etc. Limit alarms can set multiple alarm thresholds such as alarm high limit, higher limit, lower limit, and lower limit. When an alarm occurs in the system, different alarm modes can be divided according to the alarm events of different monitored objects, and different alarm groups can be set, including alarm priority, time priority, frequency, etc. Different colors and sounds can be displayed on the monitoring interface to distinguish alarm events. The alarm priority level can distinguish multiple levels of alarms. The higher the level, the higher the processing priority. When multiple alarm events occur at the same time, they are processed in order from high to low according to the priority of the event. First, the alarm event with high priority is processed, and then the event with low priority is processed. At the same time, it can meet the access integration of multiple types of alarm information such as slope alarms, audio and video alarms, etc.

[0060] The alarm limits of each parameter of a single variable in the system are set based on the manual experience of the dispatching room according to the changes in the operating parameters. The subsequent improvement will consider that the threshold setting is automatically set by the software model according to the equipment operating status based on statistics, models, knowledge, algorithms and other methods;

[0061] The monitoring center unit is used for monitoring, analyzing and processing the equipment operation status. By counting the operation status of all electromechanical equipment, including equipment operation status statistics (including operation, shutdown, failure, idle status), equipment operation time statistics, equipment repair and maintenance times statistics, equipment failure warning and alarm information reminders, etc., the electromechanical department and other related departments and leaders can have an overview of the operation status of all equipment through this interface. By clicking on specific data or buttons, you can switch to the detailed list interface to view specific equipment operation information;

[0062] The production management unit is used for automatic tracking, processing, analysis and reporting of production plans and production scheduling;

[0063] The technical management unit is used for technical document management, public document library management and document compilation;

[0064] The business management unit is used to manage various business activity data. The various business activity data of the business management unit specifically include production monitoring, sales management, financial management, cost management, contract management, material supply management, warehouse management, project management, equipment life cycle management, and office automation management.

[0065] The intelligent production management and control platform also includes a comprehensive management and control platform APP, and the data used by the comprehensive management and control platform APP is consistent with the data source of the PC-side management and control platform.

[0066] The integrated management and control platform APP integrates various personnel information, personnel location, equipment information and operating status, environmental monitoring data and related information in production safety management. The intelligent terminal platform can read relevant system data functions anytime and anywhere. The intelligent terminal platform includes but is not limited to mobile browsers, Android clients, HarmonyOS clients, and monitoring screens;

[0067] The data fusion platform pushes the analysis results and report analysis to the mobile terminal. The platform can be set up to receive different system information according to different responsibilities. The analysis and detection data of various subsystems are pushed to the mobile terminal so that users can view and monitor.

[0068] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent production control platform, characterized in that: include: Industrial Internet platform unit, decision support center unit, intelligent production collaboration unit, intelligent safety collaboration unit, alarm center unit, monitoring center unit, production management unit, technical management unit, and business management unit; The industrial Internet platform unit is used for intelligent perception, information fusion, data mining and decision support, and provides centralized control, early warning linkage, expert decision-making and application analysis based on big data to meet various needs such as production process automation, comprehensive scheduling command, multi-system linkage, and business decision-making support, so as to achieve dynamic management of safe production; The decision support center unit is based on digital twin technology and is used to display various data; The intelligent production coordination unit is used for intelligently controlling the detection and control of production and transportation; The intelligent safety coordination unit is used for monitoring and early warning of water damage and fire, as well as personnel monitoring and control; The alarm center unit is used for presetting various alarm thresholds and processing alarm event information; The monitoring center unit is used for monitoring, analyzing and processing the operating status of the equipment; The production management unit is used for automatic tracking, processing, analysis and reporting of production plans and production scheduling; The technical management unit is used for technical document management, public document library management and document compilation; The business management unit is used to manage various business activity data.

2. The intelligent production control platform according to claim 1, characterized in that: The industrial Internet platform unit highly integrates system data such as production process automation, safety monitoring, production, auxiliary production, and business management based on the industrial Internet platform.

3. The intelligent production control platform according to claim 1, characterized in that: The decision support center unit specifically includes an intelligent decision cockpit, production digital twin, personnel positioning digital twin, industrial video digital twin, and emergency management digital twin.

4. The intelligent production control platform according to claim 1, characterized in that: The intelligent production coordination unit also includes precise positioning of vehicles.

5. The intelligent production control platform according to claim 1, characterized in that: The water hazard and fire monitoring and early warning as well as personnel monitoring and control of the intelligent safety collaborative unit include a detection layer, an alarm push layer and an analysis / query prediction layer.

6. The intelligent production control platform according to claim 1, characterized in that: The alarm threshold of the alarm center unit is preset based on statistical threshold setting, model threshold setting, knowledge threshold setting and algorithm threshold setting.

7. The intelligent production control platform according to claim 1, characterized in that: The various business activity data of the business management unit specifically include production monitoring, transportation and marketing management, financial management, cost management, contract management, material supply management, warehouse management, project management, equipment life cycle management, and office automation management.

8. The intelligent production control platform according to claim 1, characterized in that: The intelligent production control platform also includes a comprehensive control platform APP, and the data used by the comprehensive control platform APP is consistent with the data source of the PC-side control platform.

9. The intelligent production control platform according to claim 8, characterized in that: The comprehensive management and control platform APP integrates various personnel information, personnel location, equipment information and operating status, environmental monitoring data and related information in production safety management, and can read relevant system data functions anytime and anywhere using the smart terminal platform.

10. An intelligent production control platform according to claim 9, characterized in that: The smart terminal platform includes but is not limited to mobile browsers, Android clients, HarmonyOS clients, and monitoring large screens.