Multi-system fusion unified scheduling communication management system

Abstract

The invention provides a multi-system fusion unified scheduling management system. The multi-system fusion unified scheduling management system comprises a wired scheduling system, a wireless scheduling system, a positioning system and a management system, the management system comprises a production scheduling module which integrates a wired scheduling system and a wireless scheduling system and is used for realizing automatic distribution and optimization of production tasks; an equipment monitoring module for monitoring the state of equipment in real time; a material tracking module for tracking the flowing of materials; a safety monitoring module for monitoring the production environment; the data analysis module is used for collecting and analyzing production data; the intelligent decision-making module is used for optimizing a production process and resource allocation; the production scheduling module is used for realizing automatic allocation and optimization of production tasks; and meanwhile, through mutual enabling of the material tracking module, the equipment monitoring module, the safety monitoring module, the personnel positioning module, the data analysis module and the intelligent decision-making module, the production efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of unified dispatching management of production enterprises, and in particular to a unified dispatching communication management system integrating multiple systems. Background Art

[0002] In modern technology, production enterprises often use one or more of wired dispatching systems, wireless dispatching systems, emergency broadcasting systems, positioning systems, and management systems to carry out production. Among them, the wired dispatching system is a production dispatching solution based on wired network communication. It is used in production enterprises to optimize production processes and improve production efficiency. This system realizes data transmission and communication between equipment, sensors, controllers, and information systems through wired connections (such as Ethernet). The wired dispatching system is suitable for production environments with high requirements for network stability and real-time performance, especially in manufacturing enterprises with large-scale, continuous production processes.

[0003] However, the deployment of wired systems may require more infrastructure investment and may lack flexibility in some cases. As wireless technology continues to advance, some companies may consider using wireless dispatch systems to provide more flexibility and convenience. A wireless dispatch system is a system that uses wireless communication technology to achieve production scheduling and resource management. It allows wireless connection and data exchange between production equipment, sensors, mobile devices, and control systems, thereby improving the flexibility and efficiency of production processes. The wireless dispatch system is suitable for a variety of production environments, especially in situations where high flexibility and mobility are required.

[0004] However, the design and implementation of wireless systems need to consider factors such as signal coverage, interference, security, and network capacity to ensure system stability and efficiency.

[0005] However, both wired and wireless dispatching systems are mostly used separately. At the same time, the allocation of order tasks requires human decision-making and allocation, which greatly affects production efficiency. Summary of the invention

[0006] The embodiment of the present invention provides a unified dispatching communication management system integrating multiple systems, so as to at least solve the problem of low production efficiency in the related art.

[0007] According to an embodiment of the present invention, a unified dispatching communication management system integrating multiple systems is provided, comprising: a wired dispatching system, a wireless dispatching system, a positioning system and a management system, wherein the wired dispatching system and the wireless dispatching system are integrated into independent systems, and the independent systems perform system switching based on instructions of the management system;

[0008] Production scheduling module, used to realize automatic allocation and optimization of production tasks;

[0009] Equipment monitoring module, used to monitor equipment status in real time;

[0010] Material tracking module, used to track the flow of materials;

[0011] Security monitoring module, used to monitor the production environment;

[0012] Personnel positioning module, used to obtain employee locations in real time and optimize human resource allocation;

[0013] Data analysis module, used to collect and analyze production data;

[0014] Intelligent decision-making module for optimizing production processes and resource allocation;

[0015] The management system analyzes information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module, and sends a switching instruction to the independent system based on the analysis results.

[0016] Furthermore, the production scheduling module includes:

[0017] Order processing module: used to obtain and analyze orders, verify the feasibility of the orders according to preset business rules and inventory conditions, and automatically convert the orders into production tasks;

[0018] Intelligent allocation module: used to optimize the execution order and time of the production task and other production tasks on the production line according to the production task;

[0019] Priority module: used to allocate production priorities according to the order delivery time and urgency;

[0020] Dynamic adjustment module: used to reallocate production tasks when production equipment encounters an abnormality.

[0021] Furthermore, the production scheduling module includes a network architecture and communication protocol that supports both wired and wireless connections.

[0022] Furthermore, verifying the feasibility of the order specifically includes:

[0023] The order processing module obtains the production products, production quantity and delivery time of the order, obtains the resources required for the production product per unit quantity based on the production products, generates the order completion time based on the production quantity and the resources required for the production product per unit quantity, and compares the order completion time with the delivery result to verify the feasibility of the order.

[0024] Furthermore, verifying the feasibility of the order specifically includes:

[0025] Evaluate the production capacity of the production line required for the order, and determine whether the order can be completed within the time required by the customer based on the current production load of the production line and the production time of the production line required for the order. The production load includes the time required for ongoing production tasks on the production line, the time required for queued production tasks, and the time the production line needs to rest.

[0026] Furthermore, after allocating the production task, the intelligent allocation module determines whether the quantity of materials in stock is sufficient. When the quantity of materials in stock is sufficient, an inventory retrieval list is automatically generated; when the quantity of materials in stock is insufficient, a purchase list is generated.

[0027] Furthermore, the device monitoring module collects device operation data through a sensor connected to the device, and processes the operation data. The processing of the operation data specifically includes the following methods:

[0028] Abnormal processing: when a certain operating data of a certain equipment exceeds a predetermined threshold, it is determined that maintenance operation is required;

[0029] Comprehensive processing of real-time data: perform data analysis based on the operating data to determine whether the overall data is abnormal. If abnormal, it is determined that maintenance operations are required;

[0030] Prediction processing: prediction is performed using a machine model based on the operating data. When the prediction result is abnormal, it is determined that personnel need to be notified to determine whether maintenance operations are required.

[0031] Furthermore, the material flow tracking specifically includes: obtaining input material information, obtaining sensors at key nodes of the production line, and monitoring the location and flow status information of the materials.

[0032] According to an embodiment of the present invention, a unified dispatching management method for multi-system integration is provided, which is used for a wired dispatching system, a wireless dispatching system, a positioning system and a management system, wherein the wired dispatching system and the wireless dispatching system are integrated into independent systems, and the independent systems perform system switching based on instructions of the management system, including:

[0033] Obtain information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module;

[0034] An analysis is performed based on the information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module, and a switching instruction is sent to the independent system based on the analysis results.

[0035] The production scheduling module integrates wired and wireless scheduling systems to achieve automatic allocation and optimization of production tasks. At the same time, through the material tracking module, equipment monitoring module, safety monitoring module, personnel positioning module, data analysis module and intelligent decision-making module, they empower each other and jointly improve production efficiency and safety, and can realize the overall process of modern production processes. Whether in terms of order generation, production allocation, equipment status, data processing and other aspects, a fully automated process has been achieved, greatly improving production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0037] Figure 1 The overall architecture diagram of the present application provided for the embodiments of the present application;

[0038] Figure 2 An architectural diagram of the production scheduling module of the present application provided for an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] Embodiment: A unified dispatching communication management system integrating multiple systems, referring to Figure 1 As shown, it includes several production components, including:

[0041] Wired dispatching system: provides stable and reliable data transmission and high-speed communication for dispatching and controlling key tasks;

[0042] Wireless dispatch system: provides flexibility and mobility, allowing real-time communication and dispatch at the production site; Emergency broadcast system: quickly disseminates information in emergency situations, ensuring that all personnel can receive alarms and instructions in a timely manner;

[0043] Positioning system: Use RFID, Wi-Fi, UWB and other technologies to achieve accurate positioning of personnel and equipment;

[0044] Management system: Integrates data analysis, artificial intelligence and machine learning to provide decision support and automated control.

[0045] Among them, the wired scheduling system and the wireless scheduling system are integrated into an independent system, and the independent system performs system switching based on the instructions of the management system; integrating the wired scheduling system and the wireless scheduling system into an independent system is conducive to reducing the switching time between systems, improving scheduling efficiency, and adapting to different communication environments and task requirements. At the same time, they are redundantly configured to each other, thereby improving the reliability and fault tolerance of the system; the existing technology usually runs the two independently, which greatly increases the difficulty of system arrangement, and also puts forward higher requirements on system compatibility, while integrating the two effectively avoids the above problems.

[0046] Production scheduling module, used to realize automatic allocation and optimization of production tasks;

[0047] Equipment monitoring module, used to monitor equipment status in real time;

[0048] Material tracking module, used to track the flow of materials;

[0049] Security monitoring module, used to monitor the production environment;

[0050] Personnel positioning module, used to obtain employee locations in real time and optimize human resource allocation;

[0051] Data analysis module, used to collect and analyze production data;

[0052] Intelligent decision-making module for optimizing production processes and resource allocation;

[0053] The management system analyzes information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module, and sends a switching instruction to the independent system based on the analysis results.

[0054] Reference Figure 2As shown, the production scheduling module is the core component of the unified intelligent production scheduling system and is responsible for coordinating and managing the entire production process. The main function of the production scheduling module is to ensure that the production tasks are carried out efficiently and orderly according to the established plan. It involves multiple aspects such as integrated wired scheduling system and wireless scheduling system, order processing, resource allocation, task optimization, monitoring and adjustment. On the integrated wired scheduling system and wireless scheduling system, the production scheduling module includes a network architecture and communication protocol that supports both wired and wireless connections to ensure that the two technologies can work together seamlessly. In this embodiment, the network architecture is preferably a 3GPP 5G multi-access network architecture, that is, a fixed-mobile converged network architecture. The communication protocol is selected to ensure that the wired and wireless systems use compatible communication protocols, such as MQTT or AMQP, to achieve interoperability of data and services. It also includes a data integration platform that can collect data from wired and wireless networks, and format and store these data in a unified manner. A relational database or a NoSQL database can be used to store production data and task information. In this embodiment, a NoSQL database is preferably used.

[0055] The production scheduling module also includes an order processing module, which obtains orders and converts each order into resources. The order processing module automatically connects to the background, automatically receives and parses customer orders, converts them into production tasks, and intelligently generates the required raw materials, equipment, human resources, energy and production time according to the production tasks. According to the needs of the production tasks, the raw materials, equipment, human resources and energy are intelligently allocated. Among them, after receiving the order, the raw materials, equipment, human resources, energy and production time required for each or each unit quantity of the product in the background will be matched according to the products and quantities on the order, and then calculated according to the quantity, the raw materials, equipment, human resources, energy and production time required for the order can be calculated. After the above processing, the order processing module will verify the order. The system verifies the feasibility of the order according to the preset business rules and inventory status. The feasibility mainly includes whether the product can be produced and whether the product can be delivered smoothly on time. When verifying whether the product can be produced, it is only necessary to compare with the background production product authority. When verifying whether it can be produced on time, it is only necessary to compare with the background production product authority. When the delivery is successful, it is first necessary to verify whether the inventory of the raw materials required for the order is sufficient. If the inventory is sufficient, the production capacity is evaluated, and the current load and capacity of the production line producing the order are comprehensively calculated to determine whether there is sufficient production capacity to complete the order within the time required by the customer. Whether there is sufficient production capacity can be determined in two ways: according to the historical production data of the production line, or according to the model prediction. In this embodiment, it is preferably determined according to the historical production data, and the current order status of the production line is obtained at the same time, that is, the operating load of the production line is queried, including ongoing tasks, queued tasks and completed tasks, and combined with the order tasks to evaluate whether it can be delivered smoothly within the specified time. If the evaluation result is yes, the order information is converted into a production task.

[0056] The production scheduling module also includes an intelligent allocation module. After the order processing module completes processing the order, the intelligent allocation module determines the production batch, allocates the production line, calculates the required raw materials and human resources, etc. according to the needs of the production task, and simultaneously uses the optimization algorithm to optimize the execution order and time schedule of the tasks. The optimization algorithm may be processed using algorithms such as genetic algorithms and simulated annealing. In this embodiment, the genetic algorithm is preferably used to allocate tasks. After allocating the production tasks, the intelligent allocation module will automatically generate an inventory retrieval list. If the inventory materials are insufficient, a purchase list will be generated.

[0057] The production scheduling module also includes a priority module, which adjusts the production priority according to the order situation. The production priority mainly assesses whether the order needs to be processed as a priority. For example, if an expedited order, a high-yield order or an order from a key customer is generated, it can be fed back to the intelligent allocation module for priority allocation, and the order can be inserted according to the priority situation during task processing.

[0058] The production scheduling module also includes a dynamic adjustment module, which dynamically adjusts the production plan to cope with changes based on real-time monitoring data and predictive analysis. The dynamic adjustment module first obtains the information of each device monitored in the equipment monitoring module, and feeds back the status information of each device, such as whether there is damaged equipment or whether there is equipment with low production capacity due to failure, to the intelligent allocation module for reallocation. That is, when the equipment capacity changes, the equipment failure information is fed back to the intelligent allocation module for reallocation. The production scheduling module also includes a fault response module, which responds quickly and reschedules tasks when equipment fails or production is abnormal based on the equipment status fed back by the above-mentioned real-time monitoring module.

[0059] Optionally, in terms of data communication, message queues (such as RabbitMQ, Kafka) and API gateways can be used to achieve data exchange and communication between systems. In terms of data processing, stream processing technologies (such as Apache Flink, Spark Streaming) can be used to process real-time production data. The central monitoring platform can choose SCADA or MES system as the central monitoring platform.

[0060] The main purpose of the equipment monitoring module is to ensure that the production equipment is running in the best condition. Through real-time data collection and analysis, potential problems can be discovered in advance, thereby achieving preventive maintenance. The equipment monitoring module performs real-time data acquisition and collects equipment operation data such as temperature, pressure, speed, vibration, etc. through sensors and equipment interfaces. After obtaining the above-mentioned equipment operation data, real-time data analysis is performed to monitor whether the equipment is operating normally and identify abnormal conditions. When the equipment is abnormal, the cause of the failure is quickly located and solutions are provided. At the same time, historical data and machine learning algorithms are used to predict equipment failures and arrange maintenance in advance.

[0061] Specifically, data collection is first performed, and operation data is collected through sensors connected to the equipment, and then the collected data is transmitted to the central monitoring system through a wired or wireless network. The above network transmission can use wired Ethernet and wireless Wi-Fi / 4G / 5G networks to achieve rapid data transmission. After that, the above data is processed and analyzed. The processing and analysis are mainly divided into three types. The first is abnormal processing, that is, when a sensor of a certain device exceeds a predetermined threshold, the device is reported to be abnormal, indicating that the device is abnormal. The second is to use real-time data processing technology to quickly analyze data. The third is predictive analysis processing, which is to apply machine learning models to conduct in-depth analysis of data and identify patterns and trends. In this embodiment, machine learning algorithms can be used for pattern recognition and predictive analysis. After that, the equipment status is evaluated based on the results of the above three processings to determine whether maintenance is required. After the first processing result is abnormal, it is determined that maintenance operations must be performed. After the second processing result is abnormal, an error is required and it is determined that maintenance operations are required. After the third predictive analysis processing result is abnormal, personnel need to decide whether maintenance is performed. When an abnormality is detected, the system will automatically issue an alarm and notify relevant personnel.

[0062] The main purpose of the material tracking module is to ensure the timely supply and effective management of materials in the production process by monitoring the flow of materials in real time. When materials are put into storage, automatic identification technology is used to record material information. In this embodiment, RFID, barcode or QR code and other technologies are selected to identify materials, and the material information is input into the system. The system automatically updates the inventory data to reflect the entry and exit of materials. Sensors are installed at key nodes of the production line to monitor the location and flow status of materials. The flow of materials on the production line is monitored in real time to ensure timely supply. When abnormal materials are found, such as loss or damage, the system will sound an alarm and take measures. Through accurate inventory management and demand forecasting, excess inventory can be reduced, timely supply of materials can be ensured, and production efficiency can be improved. Through abnormal detection and rapid response, the risk of material loss or damage can be reduced.

[0063] The main purpose of the safety monitoring module is to ensure the safety of personnel, equipment and environment in the production process, and to prevent accidents through real-time monitoring and analysis. The above-mentioned safety monitoring module first collects environmental and equipment data through sensors and monitoring equipment. Among them, the data collection includes environmental monitoring, equipment monitoring, personnel monitoring, video monitoring and abnormal access monitoring. The above-mentioned environmental monitoring is to monitor the temperature, humidity, harmful gases and other indicators in the production environment. Equipment monitoring is to monitor the operating status of the equipment to prevent safety accidents caused by equipment failure. Personnel monitoring is to monitor the behavior and position of the staff to ensure compliance with safety regulations. Video monitoring is to observe the production site in real time through the video monitoring system. Abnormal access monitoring is to manage the access rights of the production area to prevent unauthorized access. The above-mentioned environmental monitoring and equipment monitoring are fed back through the sensors set in the factory and on the equipment. When the value exceeds the threshold, the alarm mechanism is triggered. Personnel monitoring determines the position of personnel through the positioning system. When the personnel enters the alarm area, an alarm is triggered. Video monitoring collects images through various monitoring devices in the factory, and determines whether there is an abnormal situation through image processing technology. Abnormal access monitoring triggers the alarm system through the abnormal access feedback of each gate and equipment. Through real-time monitoring and preventive measures, the accident rate can be reduced, the production environment can be ensured to be safe, and production interruptions caused by safety issues can be reduced.

[0064] The main purpose of the personnel positioning module is to monitor the location of employees in the production area in real time so as to respond quickly in an emergency, optimize the work process and improve production efficiency. It mainly relies on the positioning system, including deploying positioning base stations and sensors in the production area, and equipping employees with positioning tags or wearable devices. Then, the employee location data is collected through the positioning system, and the location data is analyzed in real time, and the employee location information is updated to track the real-time location of employees. According to the employee location information, work allocation and scheduling are optimized, and employees are ensured to comply with safety regulations and avoid entering dangerous areas. RFID tags and readers are used for employee positioning. Through real-time monitoring, safety risks in the workplace are reduced, and work tasks are reasonably allocated according to employee location information to improve production efficiency. In an emergency, employees can be quickly located to improve emergency response speed.

[0065] The main purpose of the data analysis module is to optimize the production process, improve efficiency, reduce costs, and predict potential problems by deeply analyzing production data. In this embodiment, the data analysis module first collects data from multiple sources such as production lines, equipment, materials, and personnel through sensors, device interfaces, and manual input, and then integrates the data from different sources into a unified data warehouse. In this embodiment, a relational database or NoSQL database is used to store and manage data to ensure the integrity and accessibility of the data. Data cleaning tools are used to identify and process missing values, outliers, and duplicate data. The collected data is cleaned to remove erroneous and inconsistent data. Statistical analysis, machine learning, and data mining techniques are applied to identify key indicators and trends, extract valuable information, conduct preliminary data analysis, understand the basic characteristics and distribution of data, use statistical software, data mining tools, and machine learning frameworks for analysis, establish prediction models, predict production trends, equipment failures, and market demand, etc. In this embodiment, the data analysis module mainly serves with other modules for preliminary processing and analysis of data, as well as establishing models for subsequent predictions. Through data analysis, the production process is optimized, equipment failures and maintenance requirements are predicted, production efficiency is improved, and downtime and maintenance costs are reduced.

[0066] The main purpose of the intelligent decision-making module is to provide real-time, data-driven decision support through automated data analysis and pattern recognition to improve production efficiency, reduce costs and enhance the adaptability of enterprises. The intelligent decision-making module obtains the data and data analysis in the above-mentioned data analysis module, and can also directly collect data from production lines, equipment, materials and personnel. After obtaining the data, the intelligent decision-making module can continue to input it into the data analysis module for data cleaning and analysis, and then automatically analyze the production data to identify key performance indicators and potential problems. Then, the machine learning model is trained using historical data to identify patterns and trends, and based on historical data and real-time data, production trends and resource requirements are predicted. Then, according to the analysis results, production decisions are made automatically or semi-automatically. This module can serve the above-mentioned production scheduling module, safety monitoring module, material tracking module, etc., and is used to predict future trends. It can reduce human errors through automated decision-making, optimize resource utilization, improve production efficiency, reduce waste, and reduce production costs.

[0067] It should be noted that in the process of automatically analyzing production data and identifying key performance indicators and potential problems, in order to ensure the accuracy of identification, the cleaned data can be used to construct a production matrix P according to the preset matrix construction rules, and then the correlation value of the production matrix P is calculated according to the correlation coefficient (such as the Pearson correlation coefficient). When the correlation value is within the preset threshold range, the relevant production data is judged to be normal, otherwise it is judged to be abnormal and a warning is issued.

[0068] For example, the production data and the corresponding data values ​​can be expressed as shown in Table 1:

[0069] Table 1

[0070]

[0071]

[0072] This gives the production matrix P: The vegetation production matrix P is then subjected to correlation calculations.

[0073] The production scheduling module of this application integrates wired and wireless scheduling systems to realize automatic allocation and optimization of production tasks. At the same time, through the material tracking module, equipment monitoring module, safety monitoring module, personnel positioning module, data analysis module and intelligent decision-making module, they empower each other and jointly improve production efficiency and safety, and can realize the overall process of modern production process. Whether in terms of order generation, production allocation, equipment status, data processing and other aspects, a fully automated process is realized, which greatly improves production efficiency.

[0074] It should be understood that the controller or processor mentioned in the above embodiments of the present application may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0075] In another optional embodiment, a unified dispatching management method for multi-system integration is also provided, which is used for a wired dispatching system, a wireless dispatching system, a positioning system and a management system, wherein the wired dispatching system and the wireless dispatching system are integrated into an independent system, and the independent system performs system switching based on the instruction of the management system, including:

[0076] Obtain information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module;

[0077] Analyze the information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module, and send a switching instruction to the independent system based on the analysis results

[0078] It should also be understood that the number of processors or controllers in the computer device (client or server) or chip system in the above embodiments of the present application can be one or more, and can be adjusted according to the actual application scenario. This is only an exemplary description and is not limited. The number of memories in the embodiments of the present application can be one or more, and can be adjusted according to the actual application scenario. This is only an exemplary description and is not limited.

[0079] It should also be understood that the memory or readable storage medium mentioned in the computer device (client or server) in the above embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0080] Those of ordinary skill in the art will appreciate that the steps of implementing all or part of the above-mentioned embodiments by a computer device (client or server) or a processor can be completed by hardware or a program to instruct the relevant hardware. The program can be stored in a computer-readable storage medium, and the storage medium mentioned above can be a read-only memory, a random access memory, etc. Specifically, for example: the above-mentioned processing unit or processor can be a central processing unit, a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. Whether the above-mentioned functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0081] When software is used for implementation, the method steps described in the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server, or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, a data center, etc. that contains one or more available media integration. Available media can be magnetic media, (e.g., floppy disk, hard disk, tape), optical media (e.g., DVD), or semiconductor media, etc.

[0082] The terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish

[0083] Similar objects, rather than being used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable in appropriate circumstances, which is merely a way of distinguishing the objects of the same attributes when describing them in the embodiments of the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0084] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The singular forms of "a", "" and "the" used in the embodiments of the present application are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that in the description of the present application, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the present application is only a description of the association relationship of associated objects, indicating that three relationships can exist, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural.

[0085] As used herein, the words “if” or “if” may be interpreted as “at the time of” or “when” or “in response to determining” or “in response to detecting”, depending on the context. Similarly, the phrases “if it is determined” or “if (stated condition or event) is detected” may be interpreted as “when it is determined” or “in response to determining” or “when detecting (stated condition or event)” or “in response to detecting (stated condition or event)”, depending on the context.

[0086] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A unified dispatching and management system integrating multiple systems, characterized in that: include: A wired dispatching system, a wireless dispatching system, a positioning system and a management system, wherein the wired dispatching system and the wireless dispatching system are integrated into an independent system, and the independent system performs system switching based on the instructions of the management system; The management system comprises: Production scheduling module, used to realize automatic allocation and optimization of production tasks; Equipment monitoring module, used to monitor equipment status in real time; Material tracking module, used to track the flow of materials; Security monitoring module, used to monitor the production environment; Personnel positioning module, used to obtain employee locations in real time and optimize human resource allocation; Data analysis module, used to collect and analyze production data; Intelligent decision-making module for optimizing production processes and resource allocation; The management system analyzes information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module, and sends a switching instruction to the independent system based on the analysis results.

2. The unified dispatching management system according to claim 1, characterized in that: The production scheduling module includes: Order processing module: used to obtain and analyze orders, verify the feasibility of the orders according to preset business rules and inventory conditions, and automatically convert the orders into production tasks; Intelligent allocation module: used to optimize the execution order and time of the production task and other production tasks on the production line according to the production task; Priority module: used to allocate production priorities according to the order delivery time and urgency; Dynamic adjustment module: used to reallocate production tasks when production equipment encounters an abnormality.

3. The unified dispatching management system according to claim 1, characterized in that: The production scheduling module includes a network architecture and communication protocol that supports both wired and wireless connections.

4. The unified dispatching management system according to claim 2, characterized in that: Verifying the feasibility of the order specifically includes: The order processing module obtains the production products, production quantity and delivery time of the order, obtains the resources required for the production product per unit quantity based on the production products, generates the order completion time based on the production quantity and the resources required for the production product per unit quantity, and compares the order completion time with the delivery result to verify the feasibility of the order.

5. The unified dispatching management system according to claim 4, characterized in that: Verifying the feasibility of the order specifically includes: Evaluate the production capacity of the production line required for the order, and determine whether the order can be completed within the time required by the customer based on the current production load of the production line and the production time of the production line required for the order. The production load includes the time required for ongoing production tasks on the production line, the time required for queued production tasks, and the time the production line needs to rest.

6. The unified dispatching management system according to claim 5, characterized in that: After allocating the production task, the intelligent allocation module determines whether the quantity of materials in stock is sufficient, and automatically generates an inventory retrieval list when the quantity of materials in stock is sufficient; When the material quantity in the inventory is shown to be insufficient, a purchase list is generated.

7. The unified dispatching management system according to claim 1, characterized in that: The device monitoring module collects device operation data through sensors connected to the device, and processes the operation data. The processing of the operation data specifically includes the following methods: Abnormal processing: when a certain operating data of a certain equipment exceeds a predetermined threshold, it is determined that maintenance operation is required; Comprehensive processing of real-time data: perform data analysis based on the operating data to determine whether the overall data is abnormal. If abnormal, it is determined that maintenance operations are required; Prediction processing: prediction is performed using a machine model based on the operating data. When the prediction result is abnormal, it is determined that personnel need to be notified to determine whether maintenance operations are required.

8. The unified dispatching management system according to claim 1, characterized in that: The material flow tracking specifically includes: obtaining input material information, obtaining sensors at key nodes of the production line, and monitoring the location and flow status information of the materials.

9. A unified scheduling management method for multi-system integration, characterized in that: Used for a wired dispatching system, a wireless dispatching system, a positioning system and a management system, wherein the wired dispatching system and the wireless dispatching system are integrated into an independent system, and the independent system performs system switching based on the instruction of the management system, including: Obtain information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module; An analysis is performed based on the information fed back by the production scheduling module, equipment monitoring module, material tracking module, safety monitoring module, personnel positioning module, data analysis module, and intelligent decision-making module, and a switching instruction is sent to the independent system based on the analysis results.

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