New generation information technology and landscaping supply chain fusion system

Abstract

The invention provides a new-generation information technology and landscaping supply chain fusion system, and belongs to the technical field of information technology and landscaping supply chain fusion. Landscaping supply chain management and data acquisition are improved in multiple aspects, data of each link are accurately acquired through multiple sensors and interfaces, manual recording errors are avoided, and the system is convenient to use. According to data analysis and processing, advanced technologies are utilized to predict growth trends and market demands, inventory management is optimized, an intelligent decision support module provides scientific purchase suggestions based on data results, an information interaction platform promotes information sharing and cooperation of all parties, and a visual monitoring module can find and process abnormities in time. The expandability and security of the system and the application of the mobile terminal adapt to development requirements, data privacy is protected, business processing is facilitated, the management efficiency and quality are integrally improved, and smooth implementation of a project is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of the integration of information technology and landscaping supply chain, and specifically relates to a new generation of information technology and landscaping supply chain integration system. Background Art

[0002] With the continuous advancement of urbanization and people's increasing attention to the ecological environment, the landscaping industry has developed rapidly. However, there are many problems in the traditional landscaping supply chain management, which can no longer meet the needs of modern industry development. Under the traditional model, data collection in various links of the landscaping supply chain often relies on manual records, which is not only inefficient, but also difficult to ensure data accuracy and real-time performance. For example, the growth information of seedlings mainly relies on manual observation and recording, which is prone to omissions and errors, and the grasp of information such as inventory and transportation status is not accurate enough, which makes it impossible to understand the actual situation of seedlings in a timely and accurate manner. For data analysis and processing, there is a lack of effective big data analysis technology and the application of artificial intelligence algorithms, and it is impossible to accurately predict the growth trend of seedlings and changes in market demand, which makes inventory management less optimized and often leads to seedlings being lost due to inaccurate market demand forecasts. Backlogs or shortages have affected the smooth progress of landscaping projects and the economic benefits of enterprises. In terms of decision support, traditional methods mainly rely on experience and judgment, lack of scientific basis, the determination of procurement time and quantity is often not accurate enough, and the seedling allocation plan is not reasonable enough, resulting in waste of resources or obstruction of project progress. Information sharing and communication also have obstacles in the traditional supply chain. The information transmission between the participants is not timely and comprehensive. The cooperation between garden enterprises, seedling suppliers, transportation companies, etc. is not close enough, and key information such as seedling location, status and project progress cannot be understood in real time, affecting the efficiency and coordination of the overall supply chain. At the same time, the means of monitoring seedling growth and garden project implementation are limited, and real-time visual monitoring cannot be achieved. It is difficult to quickly discover problems such as diseases and pests in the growth process of seedlings and delays in the construction progress of garden projects, and effective response measures cannot be taken in time.

[0003] In this realistic context, there is an urgent need for a system that integrates the new generation of information technology with the landscaping supply chain to solve many problems existing in the traditional model, improve the management efficiency and quality of the landscaping supply chain, and adapt to the needs of the development of the modern landscaping industry. Summary of the invention

[0004] The purpose of the present invention is to provide a new generation of information technology and landscaping supply chain integration system, aiming to solve the problems in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A new generation of information technology and landscaping supply chain integration system, characterized by including:

[0007] The data collection module collects data from all aspects of the landscaping supply chain, such as seedling growth, inventory, transportation, and garden project demand. It is equipped with a variety of sensors and data input interfaces to obtain data accurately and in real time.

[0008] The data analysis and processing module uses big data analysis technology and artificial intelligence algorithms to conduct in-depth analysis of collected data, predict seedling growth trends, market demand changes, and optimize inventory management, such as predicting future seedling demand by analyzing historical sales data;

[0009] Intelligent decision support module, based on data analysis results, provides support for landscaping supply chain decision-making, such as determining procurement time, quantity and seedling allocation plan, and automatically generating procurement suggestions when inventory is below the threshold and demand increases;

[0010] The information exchange platform enables information sharing and communication among all parties involved in the supply chain. Through the platform, all parties can obtain real-time information such as the location, status and project progress of seedlings and conduct online communication and business collaboration;

[0011] The visual monitoring module uses image recognition technology and monitoring equipment to monitor and visualize the growth of seedlings and the implementation of garden projects in real time, making it convenient for personnel to check and understand the actual situation.

[0012] As a preferred solution of the present invention, the sensors of the data acquisition module include temperature, humidity, light and other sensors, which are used to monitor the parameters of the seedling growth environment to ensure its healthy growth. The data input interface supports multiple data format inputs, which is convenient for docking with different devices and systems;

[0013] The data analysis and processing module can establish seedling growth models and supply chain optimization models, continuously optimize model parameters through learning and analysis of large amounts of data, and improve the accuracy of predictions and decisions, such as calculating the nutrients and water required for different growth stages based on the growth model;

[0014] The intelligent decision support module is closely integrated with the information interaction platform. When decision suggestions are generated, they can be pushed to relevant personnel through the platform in a timely manner and feedback can be received. Personnel can discuss and adjust the suggestions on the platform to improve the rationality and feasibility of the decision.

[0015] The information exchange platform has a permission management function. Different users can access different ranges of information and use different functions according to their roles and permissions. For example, managers of garden enterprises can view comprehensive supply chain information, while seedling suppliers can only view relevant order and inventory information.

[0016] The visual monitoring module is connected to the data analysis and processing module. When abnormal situations are found, such as seedling pests and diseases or delayed project construction progress, the data analysis module can be automatically triggered for in-depth analysis, and relevant personnel can be notified in a timely manner through the information interaction platform to take measures.

[0017] As a preferred solution of the present invention, the system is scalable and can be easily expanded with the development of the landscaping supply chain and the advancement of information technology, so as to facilitate the addition of new functional modules and access to new equipment and data sources, such as the integration of data collection and processing functions for new seedling varieties or transportation methods;

[0018] The system is highly secure and uses advanced encryption technology and access control mechanisms to protect the data privacy and business secrets of all participants. Data transmission and storage are strictly encrypted, and only authorized personnel can access relevant data.

[0019] The system can interact with external geographic information systems (GIS), meteorological systems, etc. to obtain more external information related to landscaping to optimize supply chain management. For example, the system can connect with the meteorological system to understand bad weather in advance and arrange transportation and maintenance work.

[0020] The system provides mobile applications to facilitate relevant personnel to access the system, view information, make decisions and handle business through mobile devices anytime and anywhere. The mobile application has the same functions as the main platform but the interface is simpler and easier to operate to adapt to the characteristics of mobile devices;

[0021] The system has self-diagnosis and repair functions. It can regularly detect its own operating status and automatically repair or issue an alarm to notify technicians for maintenance when a fault or abnormality is found. For example, when a sensor fails, it automatically identifies and switches to a backup sensor and notifies maintenance personnel to replace it.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] First, in terms of data collection, by equipping a variety of sensors and data input interfaces, accurate and real-time acquisition of data from all links of the landscaping supply chain is achieved, which makes data such as seedling growth information, inventory and transportation status more accurate, avoiding omissions and errors in manual records. For example, temperature, humidity and light sensors can accurately monitor the growth environment parameters of seedlings to ensure their healthy growth, and the data input interface can be easily connected to different devices and systems, providing a reliable basis for subsequent data analysis and decision-making. Secondly, the data analysis and processing module uses big data analysis technology and artificial intelligence algorithms to accurately predict seedling growth trends and market demand changes, optimize inventory management, and predict future seedling demand by analyzing historical sales data, reducing seedling backlogs or shortages caused by inaccurate market demand forecasts, improving the economic benefits of the enterprise, and ensuring the smooth progress of landscaping projects. For example, the nutrients and water required for different growth stages are calculated according to the growth model, which provides a basis for scientific maintenance. Furthermore, the intelligent decision support module provides scientific support for supply chain decisions based on data analysis results, and automatically generates procurement recommendations when inventory is below the threshold and demand increases. Determining the precise procurement time and quantity as well as a reasonable seedling allocation plan avoids waste of resources and obstruction of project progress, and improves the scientificity and rationality of decision-making. In addition, the information interaction platform realizes information sharing and communication among all parties involved in the supply chain, and enhances the closeness of cooperation among all parties. All parties involved can understand the location, status and project progress of seedlings in real time, conduct online communication and business collaboration, and improve the efficiency and coordination of the overall supply chain. The visual monitoring module uses image recognition technology and monitoring equipment to monitor and visualize the growth of seedlings and the implementation of garden projects in real time. It can timely detect abnormal situations such as seedling diseases and pests or project construction progress delays, and automatically trigger the data analysis module for in-depth analysis. Through the information interaction platform, relevant personnel are notified in time to take measures, which effectively ensures the healthy growth of seedlings and the smooth implementation of garden projects. Finally, the system's scalability, high security and mobile application features meet the needs of the development of the garden greening supply chain and the advancement of information technology, protect the data privacy and business secrets of all parties involved, facilitate relevant personnel to handle business anytime and anywhere, and further improve the management efficiency and quality of the garden greening supply chain. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0025] Figure 1 This is a software display diagram of a new generation of information technology and landscaping supply chain integration system of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0027] Example 1

[0028] See also Figure 1 , the present invention provides the following technical solutions:

[0029] A new generation of information technology and landscaping supply chain integration system, characterized by including:

[0030] The data collection module collects data from all aspects of the landscaping supply chain, such as seedling growth, inventory, transportation, and garden project demand. It is equipped with a variety of sensors and data input interfaces to obtain data accurately and in real time.

[0031] The data analysis and processing module uses big data analysis technology and artificial intelligence algorithms to conduct in-depth analysis of collected data, predict seedling growth trends, market demand changes, and optimize inventory management, such as predicting future seedling demand by analyzing historical sales data;

[0032] Intelligent decision support module, based on data analysis results, provides support for landscaping supply chain decision-making, such as determining procurement time, quantity and seedling allocation plan, and automatically generating procurement suggestions when inventory is below the threshold and demand increases;

[0033] The information exchange platform enables information sharing and communication among all parties involved in the supply chain. Through the platform, all parties can obtain real-time information such as the location, status and project progress of seedlings and conduct online communication and business collaboration;

[0034] The visual monitoring module uses image recognition technology and monitoring equipment to monitor and visualize the growth of seedlings and the implementation of garden projects in real time, making it convenient for personnel to check and understand the actual situation.

[0035] In a specific embodiment of the present invention, in the real-life landscaping supply chain, it accurately and real-timely obtains data from each link through the synergy of multiple sensors and data input interfaces. This is like building a solid foundation for the entire supply chain management. For example, the precise monitoring of the growth environment parameters of seedlings by temperature, humidity and light sensors can make the seedlings as if they are under careful care, ensure their healthy growth, and reduce growth problems caused by unsuitable environment. Moreover, the data input interface can be connected to different devices and systems, so that information such as inventory, transportation and garden project requirements can be fully gathered. Compared with traditional manual recording methods, it greatly improves the accuracy and real-time nature of the data, and avoids omissions and errors in manual recording. This provides a reliable and accurate basis for subsequent data analysis and decision-making, making the management of the landscaping supply chain more scientific and efficient, and adapting to the development needs of modern industries.

[0036] Specifically, the sensors of the data acquisition module include temperature, humidity, light and other sensors, which are used to monitor the parameters of the seedling growth environment to ensure their healthy growth. The data input interface supports multiple data formats for input, which is convenient for docking with different devices and systems.

[0037] The data analysis and processing module can establish seedling growth models and supply chain optimization models, continuously optimize model parameters through learning and analysis of large amounts of data, and improve the accuracy of predictions and decisions, such as calculating the nutrients and water required for different growth stages based on the growth model;

[0038] The intelligent decision support module is closely integrated with the information interaction platform. When decision suggestions are generated, they can be pushed to relevant personnel through the platform in a timely manner and feedback can be received. Personnel can discuss and adjust the suggestions on the platform to improve the rationality and feasibility of the decision.

[0039] The information exchange platform has a permission management function. Different users can access different ranges of information and use different functions according to their roles and permissions. For example, managers of garden enterprises can view comprehensive supply chain information, while seedling suppliers can only view relevant order and inventory information.

[0040] The visual monitoring module is connected to the data analysis and processing module. When abnormal situations are found, such as seedling pests and diseases or delayed project construction progress, the data analysis module can be automatically triggered for in-depth analysis, and relevant personnel can be notified in a timely manner through the information interaction platform to take measures.

[0041] In this embodiment: In terms of data collection and docking, the diversity of its sensors and the multi-format support of the data input interface greatly improve the accuracy and comprehensiveness of the data. Sensors such as temperature, humidity, and light accurately monitor the parameters of the seedling growth environment, providing a strong guarantee for the healthy growth of seedlings. At the same time, the data input interface that is convenient for docking with different devices and systems makes the data source more extensive and convenient. This not only avoids the omissions and errors of traditional manual records, but also provides a solid and reliable foundation for subsequent data analysis and decision-making. At the data analysis and processing level, by establishing a seedling growth model and a supply chain optimization model, and using big data analysis technology and artificial intelligence algorithms, the value of data can be deeply excavated. Accurately predicting seedling growth trends and changes in market demand will help optimize inventory management and reduce resource waste and economic losses caused by market misjudgments.

[0042] Specifically, the system is scalable and can easily add new functional modules and access new equipment and data sources as the landscaping supply chain develops and information technology advances, such as integrating data collection and processing functions for new seedling varieties or transportation methods;

[0043] The system is highly secure and uses advanced encryption technology and access control mechanisms to protect the data privacy and business secrets of all participants. Data transmission and storage are strictly encrypted, and only authorized personnel can access relevant data.

[0044] The system can interact with external geographic information systems (GIS), meteorological systems, etc. to obtain more external information related to landscaping to optimize supply chain management. For example, the system can connect with the meteorological system to understand bad weather in advance and arrange transportation and maintenance work.

[0045] The system provides mobile applications to facilitate relevant personnel to access the system, view information, make decisions and handle business through mobile devices anytime and anywhere. The mobile application has the same functions as the main platform but the interface is simpler and easier to operate to adapt to the characteristics of mobile devices;

[0046] The system has self-diagnosis and repair functions. It can regularly detect its own operating status and automatically repair or issue an alarm to notify technicians for maintenance when a fault or abnormality is found. For example, when a sensor fails, it automatically identifies and switches to a backup sensor and notifies maintenance personnel to replace it.

[0047] In this embodiment: In terms of scalability, with the development of the landscaping supply chain and the advancement of information technology, the system can easily add new functional modules and access new equipment and data sources. This means that when new changes occur in the industry, such as the introduction of new seedling varieties or new transportation methods, the system can quickly integrate the corresponding data collection and processing functions without large-scale transformation and upgrading. It can always keep up with the pace of industry development and continue to provide accurate and real-time data support for all links in the supply chain, so that landscaping companies can adapt to market changes in a timely manner and improve their competitiveness. At the same time, a high degree of security ensures the data privacy and business secrets of all participants. In today's information age, data security is of vital importance. Strict encryption technology and access control mechanisms ensure the security of data transmission and storage, allowing all parties to be confident. The system can be used to share and use information easily. The provision of mobile applications has greatly facilitated the relevant personnel. They can access the system through mobile devices anytime and anywhere, whether they are at the nursery planting base, in transportation, or outside the office. They can view information, make decisions and handle business in real time. This not only improves work efficiency, but also makes the management of the landscaping supply chain more flexible and timely. For example, nursery suppliers can check order and inventory information in time through mobile devices when they are away, so as to adjust supply strategies in time; garden enterprise managers can also monitor project progress in real time through mobile devices when they are on business trips, make decisions and adjust arrangements in time. In short, these features of Quansan have comprehensively improved the management efficiency and quality of the landscaping supply chain, and adapted to the fast-paced and diversified development needs of modern society.

[0048] The working principle and use process of the present invention:

[0049] First, the data acquisition module uses a variety of sensors (such as temperature, humidity, light sensors, etc.) to monitor the parameters of the seedling growth environment in real time, and uses the data input interface to receive information such as inventory, transportation, and garden project needs. These data are like the cornerstone of building a building, providing basic support for subsequent links. For example, in the seedling planting base, sensors continuously collect data such as soil temperature and humidity, light intensity, etc., and the transportation company inputs the transportation status information of the seedlings into the system through the data input interface. Then, the data analysis and processing module begins to play a role. It uses big data analysis technology and artificial intelligence algorithms to conduct in-depth analysis of the collected data. For example, by analyzing historical sales data to predict future seedling demand, it establishes a seedling growth model and a supply chain optimization model, and continuously optimizes model parameters. When the seedling growth data shows that a certain seedling may grow slowly due to current environmental factors, it will be combined with changes in market demand to further analyze the impact on inventory management. Then, the intelligent decision support module provides decision support based on the data analysis results. When the inventory is below the threshold and the market demand increases, it will automatically generate procurement suggestions to determine the appropriate procurement time and quantity and seedling allocation plan. After the relevant personnel receive these suggestions on the information interaction platform , can be discussed and adjusted. For example, the management personnel of the garden enterprise communicate with the supplier on the platform for the purchase details according to the suggestions. The information interaction platform runs through the whole process, realizing the information sharing and communication of all participants in the supply chain. Garden enterprises, seedling suppliers, transportation companies, etc. can all understand the location, status and project progress of seedlings in real time on the platform, and conduct online communication and business collaboration. At the same time, the visual monitoring module monitors and visualizes the growth of seedlings and the implementation of garden projects in real time. Once abnormal conditions such as seedling pests or project construction progress are found, the data analysis and processing module will be automatically triggered for in-depth analysis, and relevant personnel will be notified in time through the information interaction platform to take measures. For example, if the monitoring finds that the seedlings have pests and diseases, the technicians will be notified immediately to deal with them. At the same time, the environmental factors that may cause pests and diseases will be analyzed to provide reference for subsequent prevention and control. In terms of mobile applications, relevant personnel can access the system through mobile devices anytime and anywhere to view information, make decisions and handle business, which further improves the convenience and operation efficiency of the entire system. The scalability and self-diagnosis and repair functions of the system also ensure that it can continuously adapt to the development of the industry and deal with its own faults in a timely manner, and continue to provide high-quality services for the landscaping supply chain.

[0050] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A new generation of information technology and landscaping supply chain integration system, characterized by: include: The data collection module collects data from all aspects of the landscaping supply chain, such as seedling growth, inventory, transportation, and garden project demand. It is equipped with a variety of sensors and data input interfaces to obtain data accurately and in real time. The data analysis and processing module uses big data analysis technology and artificial intelligence algorithms to conduct in-depth analysis of collected data, predict seedling growth trends, market demand changes, and optimize inventory management, such as predicting future seedling demand by analyzing historical sales data; Intelligent decision support module, based on data analysis results, provides support for landscaping supply chain decision-making, such as determining procurement time, quantity and seedling allocation plan, and automatically generating procurement suggestions when inventory is below the threshold and demand increases; The information exchange platform enables information sharing and communication among all parties involved in the supply chain. Through the platform, all parties can obtain real-time information such as the location, status and project progress of seedlings and conduct online communication and business collaboration; The visual monitoring module uses image recognition technology and monitoring equipment to monitor and visualize the growth of seedlings and the implementation of garden projects in real time, making it convenient for personnel to check and understand the actual situation.

2. According to claim 1, a new generation of information technology and landscaping supply chain integration system is characterized by: The sensors of the data acquisition module include temperature, humidity, light and other sensors, which are used to monitor the parameters of the seedling growth environment to ensure its healthy growth. The data input interface supports multiple data formats for input, which is convenient for docking with different devices and systems. The data analysis and processing module can establish seedling growth models and supply chain optimization models, continuously optimize model parameters through learning and analysis of large amounts of data, and improve the accuracy of predictions and decisions, such as calculating the nutrients and water required for different growth stages based on the growth model; The intelligent decision support module is closely integrated with the information interaction platform. When decision suggestions are generated, they can be pushed to relevant personnel through the platform in a timely manner and feedback can be received. Personnel can discuss and adjust the suggestions on the platform to improve the rationality and feasibility of the decision. The information exchange platform has a permission management function. Different users can access different ranges of information and use different functions according to their roles and permissions. For example, managers of garden enterprises can view comprehensive supply chain information, while seedling suppliers can only view relevant order and inventory information. The visual monitoring module is connected to the data analysis and processing module. When abnormal situations are found, such as seedling pests and diseases or delayed project construction progress, the data analysis module can be automatically triggered for in-depth analysis, and relevant personnel can be notified in a timely manner through the information interaction platform to take measures.

3. According to claim 2, a new generation of information technology and landscaping supply chain integration system is characterized by: The system is scalable and can easily add new functional modules and access new equipment and data sources as the landscaping supply chain develops and information technology advances, such as integrating data collection and processing functions for new seedling varieties or transportation methods; The system is highly secure and uses advanced encryption technology and access control mechanisms to protect the data privacy and business secrets of all participants. Data transmission and storage are strictly encrypted, and only authorized personnel can access relevant data. The system can interact with external geographic information systems (GIS), meteorological systems, etc. to obtain more external information related to landscaping to optimize supply chain management. For example, the system can connect with the meteorological system to understand bad weather in advance and arrange transportation and maintenance work. The system provides mobile applications to facilitate relevant personnel to access the system, view information, make decisions and handle business through mobile devices anytime and anywhere. The mobile application has the same functions as the main platform but the interface is simpler and easier to operate to adapt to the characteristics of mobile devices; The system has self-diagnosis and repair functions. It can regularly detect its own operating status and automatically repair or issue an alarm to notify technicians for maintenance when a fault or abnormality is found. For example, when a sensor fails, it automatically identifies and switches to a backup sensor and notifies maintenance personnel to replace it.

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